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Dietary regimens appear to possess significant effects on the development of combined antiretroviral therapy (cART)-associated metabolic syndrome

  • Boniface M. Chege ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

    bmchege87@gmail.com

    Affiliations School of Health Sciences, Dedan Kimathi University of Technology, Nyeri, Kenya, Department of Human Anatomy and Medical Physiology, University of Nairobi, Nairobi, Kenya

  • Peter W. Mwangi ,

    Contributed equally to this work with: Peter W. Mwangi, Charles G. Githinji, Frederick Bukachi

    Roles Conceptualization, Investigation, Methodology, Supervision, Writing – review & editing

    Affiliation Department of Human Anatomy and Medical Physiology, University of Nairobi, Nairobi, Kenya

  • Charles G. Githinji ,

    Contributed equally to this work with: Peter W. Mwangi, Charles G. Githinji, Frederick Bukachi

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Supervision, Writing – review & editing

    Affiliation Department of Human Anatomy and Medical Physiology, University of Nairobi, Nairobi, Kenya

  • Frederick Bukachi

    Contributed equally to this work with: Peter W. Mwangi, Charles G. Githinji, Frederick Bukachi

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – review & editing

    Affiliation Department of Human Anatomy and Medical Physiology, University of Nairobi, Nairobi, Kenya

Abstract

Introduction

This study investigated the interactions between a low protein high calorie (LPHC) diet and an integrase inhibitor-containing antiretroviral drug regimen (INI-CR)in light of evidence suggesting that the initiation of cART in patients with poor nutritional status is a predictor of mortality independent of immune status.

Methods

Freshly weaned Sprague Dawley rats (120) were randomized into the standard, LPHC and normal protein high calorie (NPHC) diet groups (n = 40/group) initially for 15 weeks. Thereafter, experimental animals in each diet group were further randomized into four treatment sub-groups (n = 10/group) Control (normal saline), group 1(TDF+3TC+DTG and Tesamorelin), group 2 (TDF+3TC+DTG), and Positive control (AZT+3TC+ATV/r) with treatment and diets combined for 9 weeks. Weekly body weights, fasting blood glucose (FBG), oral glucose tolerance test (OGTT); lipid profiles, liver weights, hepatic triglycerides and adiposity were assessed at week 24.

Results

At week 15, body weights increased between the diet group in phase 1(standard 146 ± 1.64 vs. 273.1 ± 1.56 g), (NPHC, 143.5 ± 2.40 vs. 390.2 ± 4.94 g) and (LPHC, 145.5 ± 2.28 g vs. 398.3 ± 4.89 g) (p< 0.0001). A similar increase was noted in the FBG and OGTT (p< 0.0001). In phase 2, there was an increase in FBG, OGTT, body weights, lipid profile, liver weights, hepatic triglycerides, adiposity and insulin levels in group 2 and positive control in both NPHC and LPHC diet groups (p<0.0001). Growth hormone levels were decreased in Tesamorelin-free group 2 and positive control in both NPHC and LPHC (p< 0.0001).

Conclusions

The obesogenic activities of the LPHC diet exceeded that of the NPHC diet and interacted with both integrase-containing and classical cART drug regimens to reproduce cART associated metabolic dysregulation. The effects were however reversed by co-administration with tesamorelin, a synthetic growth hormone releasing hormone analogue.

Introduction

Although the advent of combined Antiretroviral Therapy (cART), has resulted in increased lifespans and quality of life, it is often associated with the development of metabolic dysregulation e.g., dyslipidemia, insulin resistance, abnormalities in glycemic control, and lipodystrophy [1]. The cART-associated metabolic dysregulation appears to be a universal characteristic associated with antiretroviral drugs with even the newer IICR being associated with these metabolic derangements [2].

The rapid rates of urbanization in sub-Saharan Africa amidst poorly performing economies has resulted in a large proportion of the urban population having limited access to social amenities and food adequate in both quality and quantity [3]. Indeed, urban diets in the low-income urban informal settings are often high calorie (high fat/high sugar) and low protein diets (high calorie protein malnutrition).

Since Sub-Saharan Africa has a high prevalence of human immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) a significant proportion of patients on cART would be reasonably expected to be suffering from this high calorie protein malnutrition [4]. This study investigated the relationship between diet, cART regimens and the resulting metabolic derangements in light of recent studies that have reported increased mortality after cART initiation among patients on high calorie low protein diets than in the general population in sub-Saharan Africa [5].

Material and methods

Diet preparation

The various diets i.e., standard rat chow (4.8% fat, 17.1% protein, 34.6% complex carbohydrates and 5.3% sucrose), normal protein high calorie/high fat (36% fat, 17.1% protein, 42% complex carbohydrates and 20% sucrose) and low protein high calorie/high fat (36% fat, 6% protein, 42% complex carbohydrates and 20% sucrose were specially formulated and manufactured by Unga group limited, Nakuru, Kenya.

Experimental animals’ selection, grouping and treatment

One hundred and twenty (120) freshly weaned Sprague-Dawley rats (6–8 weeks old) weighing approximately 150 grams, were obtained from the Kabete veterinary laboratories, Nairobi.

The animals were grouped-housed in the animal house situated within the department of medical physiology, adhering to specified ambient conditions: a room temperature ranging from 23 ± 2°C, relative humidity maintained at 30–50%, and a 12-hour light/day cycle. Prior to the initiation of the study, a seven-day period was dedicated to habituating the animals to both the experimenter and the environmental conditions. The study was performed in two stages. The first phase involved the investigation of the relative obesogenic nature of the three different diets (standard chow, normal protein high calorie diet and low protein high calorie diet) while the second phase involved evaluating the interactions of the various treatments with the aforementioned diets.

Phase one.

The experimental animals were randomized into the (n = 40/group) standard rat chow, normal protein/high calorie and low protein/high calorie diet groups. The respective diets and water were supplied ad libitum to all the groups throughout the duration of the study. This phase had a duration of fifteen weeks.

Phase two.

The experimental animals in each diet group were further randomized into four experimental subgroups on week 16, into (n = 10/group): control (vehicle normal saline), test group 1(Tenofovir disoproxil fumarate (TDF) + Lamivudine (3TC) + Dolutegravir (DTG) + Tesamorelin, test group 2 (Tenofovir disoproxil fumarate (TDF) + Lamivudine (3TC) + Dolutegravir (DTG), and Positive control (Zidovudine (AZT) +Lamivudine (3TC) +Atazanavir/ritonavir (ATV/r)). A paradigm illustration of the experimental study groups are shown in Fig 1.

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Fig 1. A paradigm illustration of the experimental study groups.

https://doi.org/10.1371/journal.pone.0298752.g001

The respective treatments were administered daily between 1500hrs and 1700hrs via oral gavage for nine (9) weeks. The dosage calculations were made using the rat to human body weight/ surface area normalization formula for drug dose calculations [6].

HED is Human Equivalent Dose, Km is Correction factor

The animals were weighed weekly using a standard laboratory weighing scale (Ohaus®SJX6201N/E scout portable balance).

Serum biochemistry and other assays

Fasting blood glucose and oral glucose tolerance test determination.

Weekly fasting blood glucose (FBG) levels were assessed using a glucometer (On Call® EZ II) throughout the study. Blood samples were obtained via lateral tail vein blood sampling after a six-hour fast, following the application of Topical Lidocaine ten (10) minutes prior to mitigate pain and stress associated with the test, using the Lee and Goosens protocol [7].

Oral glucose tolerance tests were conducted in the 15th and 24th weeks of the experimental period, following Bartoli’s protocol [8]. Briefly, rats underwent a six-hour fast before baseline blood glucose levels were determined using the previously described procedure. Subsequently, each rat received a loading dose of glucose (2 g/kg) via oral gavage. Blood glucose levels were then measured at 30, 60, 90, and 120 minutes post-administration of the glucose load. The blood glucose levels obtained were used to calculate the area under the curves (AUCs).

Fasting plasma insulin and growth hormone levels.

The fasting plasma insulin and growth hormone levels were determined using the enzyme-linked immunosorbent assay (ELISA) method using a rat insulin and growth hormone kit (Bioassay Technology laboratory, Shanghai, China). The fasting insulin levels was used for determination of Homeostatic Model Assessment (HOMA) score for insulin resistance and β-cell function (HOMA-IR and HOMA-β) which were calculated using the following equation [9].

Lipid profile and adipose tissue depot weight determination.

The rats underwent euthanasia following an overnight fasting period, achieved through intraperitoneal administration of 6% Phenobarbital on week 24. Subsequently, blood samples were obtained via cardiac puncture, left to clot, and then subjected to centrifugation at 1500 revolutions per minute for ten (10) minutes. The resulting serum was transferred into vacutainers and transported to the Department of Clinical Chemistry at the University of Nairobi. In this department, the levels of serum triglycerides, total cholesterol, low-density lipoprotein, and high-density lipoprotein were determined.

The various visceral adipose tissues depots (retroperitoneal adipose tissue, mesenteric adipose tissue and pericardial adipose tissue) were carefully extracted and weighed after euthanasia of the experimental animal.

Determination of liver weights and hepatic triglycerides.

Following the euthanization of the experimental animals, as detailed earlier, a midline incision was performed on the ventral surface of each rat’s body to expose the abdominal cavity, and the liver was subsequently excised. The respective liver weights were determined and recorded for the assessment of hepatic triglycerides. The determination of hepatic triglycerides followed the procedure outlined by Bulter and Mailing [10]. In brief, 2 grams of the respective livers were homogenized in eight milliliters of phosphate buffer. A resulting 1-milliliter portion of the homogenate was added to four grams of activated charcoal, pre-moistened with two milliliters of chloroform. After topping up the mixture with eighteen milliliters of chloroform, it was gently shaken for ten minutes, followed by filtration.

The resulting filtrate was divided into three test tubes, and an additional 1-milliliter portion of standard oil solution (1%) was pipetted into three separate test tubes. All test tubes were placed in a water bath at 80°C to evaporate excess chloroform. To the first and second tubes, 0.5 milliliters of alcoholic potassium hydroxide were added, and the third tube containing the filtrate and the test tube with the standard corn oil solution received 0.5 milliliters of 95% alcohol. The test tubes were maintained in water at 60°C for twenty minutes, followed by the addition of 0.5 milliliters of 0.2N sulphuric acid to each tube. The resulting mixtures were heated in a water bath (100°C) for an additional twenty minutes, cooled, and then subjected to the addition of 0.1 milliliter sodium metaperiodate and 0.1 milliliter sodium arsenide. Five milliliters of chromotropic acid were added to each test tube after ten minutes, and the tubes were placed in a water bath (100°C) for half an hour. The optical densities at 540 nm were determined using a spectrophotometer. The obtained optical densities were utilized to calculate hepatic triglyceride content through the following formula:

Let

And A = volume of aliquot of chloroform extract in ml (1 ml was used in the present study).

Then triglyceride contents in milligram per gram of tissue

Ethical considerations

The experimental protocol was approved by Biosafety, Animal Use and Ethics Committee, Faculty of Veterinary Medicine, University of Nairobi (permit number FVM BAUEC/2022/354). All surgery was performed under sodium pentobarbital anesthesia, and all efforts were made to minimize suffering.

Statistical analysis

The experimental data were presented as mean ± standard error of the mean (S.E.M.), and statistical analysis was conducted through one-way ANOVA. In cases of significance (defined as p ≤ 0.05), Tukey’s test was applied. The analysis was carried out using GraphPad Prism® version 8.0.1(244).

Results

Phase one

Body weight during the diet induction phase.

There were no significant differences in the body weight between the three experimental groups at the beginning of the study [146 ± 1.64 grams (standard diet) vs.143.5 ± 2.40 grams (normal protein high calorie diet) vs.145.5 ± 2.28 grams (low protein high calorie diet): p = 0.5538] up to the end of week 4: [179 ± 0.75 grams (standard diet) vs.181 ± 1.01 grams (normal protein high calorie diet) vs.182.6 ± 1.38 grams (low protein high calorie diet): p = 0.0688].

There were significant differences in the body weight between the three experimental groups at the end of week 5: [183 ± 1.24 grams (standard diet) vs.196 ± 1.30 grams (normal protein high calorie diet) vs. 198.6 ± 0.61 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the body weight between the three experimental groups at the end of week 6: [188.7 ± 1.33 grams (standard diet) vs. 216 ± 4.27 grams (normal protein high calorie diet) vs. 219.6 ± 1.53 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the body weight between the three experimental groups at the end of week 7: [197.7 ± 1.43 grams (standard diet) vs. 230 ± 2.70 grams (normal protein high calorie diet) vs. 233.3 ± 1.52 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the body weight between the three experimental groups at the end of week 8: [208.7 ± 1.27 grams (standard diet) vs. 255 ± 2.69 grams (normal protein high calorie diet) vs. 258 ± 1.46 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the body weight between the three experimental groups at the end of week 9: [218 ± 2.44 grams (standard diet) vs. 277 ± 7.06 grams (normal protein high calorie diet) vs. 283 ± 4.09 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the body weight between the three experimental groups at the end of week 10: [221 ± 1.40 grams (standard diet) vs. 286.8 ± 3.20 grams (normal protein high calorie diet) vs. 292 ± 3.77 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the body weight between the three experimental groups at the end of week 11: [228.6 ± 1.22 grams (standard diet) vs. 302 ± 4.88 grams (normal protein high calorie diet) vs. 307 ± 4.89 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the body weight between the three experimental groups at the end of week 12: [237 ± 1.31 grams (standard diet) vs. 322 ± 5.47 grams (normal protein high calorie diet) vs. 329 ± 2.93 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the body weight between the three experimental groups at the end of week 13: [246.6 ± 1.44 grams (standard diet) vs. 341.2 ± 5.15 grams (normal protein high calorie diet) vs. 352.2 ± 6.22 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the body weight between the three experimental groups at the end of week 14: [256.4 ± 1.49 grams (standard diet) vs. 360.2 ± 5.60 grams (normal protein high calorie diet) vs. 372.3 ± 3.48 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the body weight between the three experimental groups at the end of week 15: [273.1 ± 1.56 grams (standard diet) vs. 390.2 ± 4.94 grams (normal protein high calorie diet) vs. 398.3 ± 4.89 grams (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

The graphical presentation of the mean body weights at weekly interval during the diet induction phase is shown in Fig 2 (line graph) and Table 1.

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Fig 2. Line graph showing the mean body weights (g) at weekly interval during the diet induction phase.

Results expressed as mean± SEM.

https://doi.org/10.1371/journal.pone.0298752.g002

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Table 1. Mean body weights (g) during the diet induction phase.

https://doi.org/10.1371/journal.pone.0298752.t001

Fasting blood glucose.

There were no significant differences in the fasting blood glucose between the three experimental groups at the beginning of the experiment [3.86 ± 0.04 mmol/L (standard diet) vs. 3.85 ± 0.03 mmol/L (normal protein high calorie diet) vs. 3.85 ± 0.18 mmol/L (low protein high calorie diet): p = 0.9996] up to the end of week 4: [4.00 ± 0.02 mmol/L (standard diet) vs. 4.03 ± 0.02 mmol/L (normal protein high calorie diet) vs. 4.06 ± 0.02 mmol/L (low protein high calorie diet): p = 0.3748].

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 5: [4.00 ± 0.04 mmol/L (standard diet) vs. 4.08 ± 0.02 mmol/L (normal protein high calorie diet) vs. 4.09 ± 0.01 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p = 0.0013) and standard diet and low protein high calorie diet (p = 0.0004).

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 6: [4.05 ± 0.02 mmol/L (standard diet) vs. 4.14 ± 0.02 mmol/L (normal protein high calorie diet) vs. 4.20 ± 0.01 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p = 0.0003) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 7: [4.06 ± 0.02 mmol/L (standard diet) vs. 4.18 ± 0.02 mmol/L (normal protein high calorie diet) vs. 4.23 ± 0.02 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 8: [4.02 ± 0.02 mmol/L (standard diet) vs. 4.23 ± 0.02 mmol/L (normal protein high calorie diet) vs. 4.32 ± 0.02 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 9: [4.08 ± 0.02 mmol/L (standard diet) vs. 4.37 ± 0.02 mmol/L (normal protein high calorie diet) vs. 4.43 ± 0.02 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 10: [4.12 ± 0.02 mmol/L (standard diet) vs. 4.45 ± 0.02 mmol/L (normal protein high calorie diet) vs. 4.50 ± 0.02 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 11: [4.10 ± 0.01 mmol/L (standard diet) vs. 4.57 ± 0.03 mmol/L (normal protein high calorie diet) vs. 4.86 ± 0.03 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 12: [4.11 ± 0.02 mmol/L (standard diet) vs. 5.10 ± 0.03 mmol/L (normal protein high calorie diet) vs. 5.34 ± 0.04 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 13: [4.14 ± 0.02 mmol/L (standard diet) vs. 5.65 ± 0.04 mmol/L (normal protein high calorie diet) vs. 5.96 ± 0.04 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 14: [4.05 ± 0.02 mmol/L (standard diet) vs. 5.72 ± 0.05 mmol/L (normal protein high calorie diet) vs. 6.26 ± 0.30 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001).

There were significant differences in the fasting blood glucose between the three experimental groups at the at the end of week 15: [4.05 ± 0.02 mmol/L (standard diet) vs. 5.83 ± 0.05 mmol/L (normal protein high calorie diet) vs. 6.56 ± 0.30 mmol/L (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001) and standard diet and low protein high calorie diet (p< 0.0001). The graphical representations of the experimental data are shown in Fig 3.

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Fig 3. Line graph showing mean fasting blood glucose levels (mmol/l) at weekly intervals during the diet induction phase.

https://doi.org/10.1371/journal.pone.0298752.g003

Oral glucose tolerance test at week 15 (Diet induction phase).

There were significant differences in the AUC values between the three experimental groups on week 15: [530 ± 2.31 mmol/L.min (standard diet) vs. 768.4 ± 4.03 mmol/L.min (normal protein high calorie diet) vs. 927.9 ± 2.80 mmol/L.min (low protein high calorie diet): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between standard diet and normal protein high calorie diet (p< 0.0001), standard diet and low protein high calorie diet (p< 0.0001) and, normal protein high calorie diet and low protein high calorie diet (p< 0.0001).

The graphical presentation of the mean blood glucose response and mean area under the curve during the diet induction phase is shown in Fig 4.

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Fig 4. Mean blood glucose response (mmol/L) to an oral glucose bolus 2 g/kg over a 2-hour period and mean area under the curve (mmol/L.min) during the oral glucose tolerance test.

Results are expressed as mean ± SEM. ****- p < 0.0001.

https://doi.org/10.1371/journal.pone.0298752.g004

Treatment phase

Body weights during treatment phase.

Standard diet. There were no significant differences in the body weight between the four experimental groups at the end of week 16: [277.2 ± 5.31 grams (normal saline) vs. 284 ± 3.38 grams (Test group 1) vs. 286.6 ± 2.43 grams (Test group 2) vs. 288 ± 3.39 grams (positive control): p = 0.2011].

There were no significant differences in the body weight between the four experimental groups at the end of week 17: [292.4 ± 2.73 grams (normal saline) vs. 293.8 ± 3.68 grams (Test group 1) vs. 301.2 ± 2.41 grams (Test group 2) vs. 302.1 ± 3.10 grams (positive control): p = 0.0612].

There were no significant differences in the body weight between the four experimental groups at the end of week 18: [313.1 ± 1.79 grams (normal saline) vs. 315.4 ± 0.99 grams (Test group 1) vs. 318.5 ± 1.88 grams (Test group 2) vs. 320.4 ± 3.24 grams (positive control): p = 0.0900].

There were no significant differences in the body weight between the four experimental groups at the end of week 19: [319.9 ± 0.80 grams (normal saline) vs. 318.0 ± 1.19 grams (Test group 1) vs. 320.5 ± 1.65 grams (Test group 2) vs. 322.1 ± 1.09 grams (positive control): p = 0.1520].

There were no significant differences in the body weight between the four experimental groups at the end of week 20: [329.4 ± 1.05 grams (normal saline) vs. 327.1 ± 0.87 grams (Test group 1) vs. 330.5 ± 0.54 grams (Test group 2) vs. 330.8 ± 1.60 grams (positive control): p = 0.0901].

There were no significant differences in the body weight between the four experimental groups at the end of week 21: [339.3 ± 1.11 grams (normal saline) vs. 341.0 ± 1.02 grams (Test group 1) vs. 343.6 ± 0.94 grams (Test group 2) vs. 343.6 ± 0.94 grams (positive control): p = 0.0790].

There were no significant differences in the body weight between the four experimental groups at the end of week 22: [345.7 ± 1.10 grams (normal saline) vs. 346.3 ± 1.37 grams (Test group 1) vs. 362.9 ± 1.44 grams (Test group 2) vs. 349 ± 1.82 grams (positive control): p = 0.0521].

There were no significant differences in the body weight between the four experimental groups at the end of week 23: [360 ± 0.79 grams (normal saline) vs. 360.6 ± 1.44 grams (Test group 1) vs. 364.3 ± 1.37 grams (Test group 2) vs. 362.9 ± 1.12 grams (positive control): p = 0.0531].

There were no significant differences in the body weight between the four experimental groups at the end of week 24: [374.8 ± 1.36 grams (normal saline) vs. 375.2 ± 1.66 grams (Test group 1) vs. 378.6 ± 1.06 grams (Test group 2) vs. 377.1 ± 0.87 grams (positive control): p = 0.1534].

Normal protein high calorie diet. There were no significant differences in the body weight between the four experimental groups at the end of week 16: [418.3 ± 4.83 grams (normal saline) vs. 414.1 ± 6.09 grams (Test group 1) vs. 412 ± 7.72 grams (Test group 2) vs. 415 ± 5.05 grams (positive control): p = 0.1917].

There were no significant differences in the body weight between the four experimental groups at the end of week 17: [419.9 ± 3.32 grams (normal saline) vs. 413.9 ± 9.15 grams (Test group 1) vs. 431.6 ± 7.68 grams (Test group 2) vs. 435 ± 5.60 grams (positive control): p = 0.1092].

There were significant differences in the body weight between the four experimental groups at the end of week 18: [424.2 ± 4.02 grams (normal saline) vs. 426.4 ± 5.47 grams (Test group 1) vs. 453 ± 7.74 grams (Test group 2) vs. 456 ± 5.82 grams (positive control): p = 0.0002]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p = 0.0059), normal saline and positive control (p = 0.0026), Test group 1 and Test group 2 (p = 0.0117) and, Test group 1 and positive control (p = 0.0053).

There were significant differences in the body weight between the four experimental groups at the end of week 19: [433.2 ± 4.22 grams (normal saline) vs. 431.2 ± 4.40 grams (Test group 1) vs. 470 ± 7.27 grams (Test group 2) vs. 477 ± 5.73 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p = 0.0002), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the body weight between the four experimental groups at the end of week 20: [441.5 ± 4.62 grams (normal saline) vs. 438.5 ± 4.32 grams (Test group 1) vs. 489.1 ± 6.87 grams (Test group 2) vs. 497 ± 5.73 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the body weight between the four experimental groups at the end of week 21: [450.5 ± 4.54 grams (normal saline) vs. 448 ± 4.15 grams (Test group 1) vs. 510.8 ± 6.51 grams (Test group 2) vs. 518.7 ± 5.75 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the body weight between the four experimental groups at the end of week 22: [460.4 ± 4.63 grams (normal saline) vs. 461.3 ± 4.14 grams (Test group 1) vs. 532.8 ± 6.83 grams (Test group 2) vs. 539 ± 5.93 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the body weight between the four experimental groups at the end of week 23: [469.2 ± 4.85 grams (normal saline) vs. 466.3 ± 2.62 grams (Test group 1) vs. 543.4 ± 13.6 grams (Test group 2) vs. 550.3 ± 13.72 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the body weight between the four experimental groups at the end of week 24: [478.4 ± 4.53 grams (normal saline) vs. 479.9 ± 4.93 grams (Test group 1) vs. 564.3 ± 13.69 grams (Test group 2) vs. 582.4 ± 5.37 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

Low protein high calorie diet. There were no significant differences in the body weight between the four experimental groups at the end of week 16: [413.9 ± 4.42 grams (normal saline) vs. 410.6 ± 6.79 grams (Test group 1) vs. 419.4 ± 6.98 grams (Test group 2) vs. 419.6 ± 3.91 grams (positive control): p = 0.6240].

There were no significant differences in the body weight between the four experimental groups at the end of week 17: [433.2 ± 3.92 grams (normal saline) vs. 428.5 ± 5.69 grams (Test group 1) vs. 444.2 ± 7.21 grams (Test group 2) vs. 442.6 ± 3.80 grams (positive control): p = 0.1312].

There were significant differences in the body weight between the four experimental groups at the end of week 18: [442.1 ± 4.08 grams (normal saline) vs. 437.8 ± 5.96 grams (Test group 1) vs. 465.7 ± 7.54 grams (Test group 2) vs. 464.1 ± 3.58 grams (positive control): p = 0.0008]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p = 0.0226), normal saline and positive control (p = 0.0382), Test group 1 and Test group 2 (p = 0.0053) and, Test group 1 and positive control (p = 0.0095).

There were significant differences in the body weight between the four experimental groups at the end of week 19: [448 ± 3.18 grams (normal saline) vs. 450.4 ± 4.90 grams (Test group 1) vs. 482.2 ± 6.53 grams (Test group 2) vs. 488 ± 2.47 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the body weight between the four experimental groups at the end of week 20: [458.6 ± 2.88 grams (normal saline) vs. 464.2 ± 4.62 grams (Test group 1) vs. 503.8 ± 7.49 grams (Test group 2) vs. 510.9 ± 2.78 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the body weight between the four experimental groups at the end of week 21: [468.5 ± 3.00 grams (normal saline) vs. 475.8 ± 5.29 grams (Test group 1) vs. 520.2 ± 6.21 grams (Test group 2) vs. 531.5 ± 2.16 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the body weight between the four experimental groups at the end of week 22: [479.2 ± 3.29 grams (normal saline) vs. 484.2 ± 5.90 grams (Test group 1) vs. 541.9 ± 6.03 grams (Test group 2) vs. 554.5 ± 1.91 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the body weight between the four experimental groups at the end of week 23: [488.8 ± 2.73 grams (normal saline) vs. 492.2 ± 5.79 grams (Test group 1) vs. 561 ± 5.68 grams (Test group 2) vs. 577 ± 1.98 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the body weight between the four experimental groups at the end of week 24: [497.8 ± 3.10 grams (normal saline) vs. 501.7 ± 5.22 grams (Test group 1) vs. 589.9 ± 3.63 grams (Test group 2) vs. 600 ± 1.94 grams (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

The graphical presentation of the mean body weights at weekly interval during the treatment phase is shown in Fig 5.

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Fig 5. Line graphs showing the mean body weights (grams) at weekly interval during the treatment phase.

Expressed as mean ± SEM. A (standard diet group), B (normal protein high calorie diet group), C (low protein high calorie diet group).

https://doi.org/10.1371/journal.pone.0298752.g005

Fasting blood glucose during the treatment phase.

Standard diet. There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 16: [4.05 ± 0.03 mmol/L (normal saline) vs. 4.09 ± 0.05 mmol/L (Test group 1) vs. 4.12 ± 0.03 mmol/L (Test group 2) vs. 4.17 ± 0.04 mmol/L (positive control): p = 0.1381].

There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 17: [4.06 ± 0.03 mmol/L (normal saline) vs. 4.09 ± 0.05 mmol/L (Test group 1) vs. 4.16 ± 0.03 mmol/L (Test group 2) vs. 4.17 ± 0.03 mmol/L (positive control): p = 0.0581].

There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 18: [4.08 ± 0.04 mmol/L (normal saline) vs. 4.06 ± 0.03 mmol/L (Test group 1) vs. 4.12 ± 0.03 mmol/L (Test group 2) vs. 4.18 ± 0.03 mmol/L (positive control): p = 0.0620].

There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 19: [4.08 ± 0.03 mmol/L (normal saline) vs. 4.10 ± 0.03 mmol/L (Test group 1) vs. 4.16 ± 0.05 mmol/L (Test group 2) vs. 4.20 ± 0.03 mmol/L (positive control): p = 0.0964].

There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 20: [4.13 ± 0.05 mmol/L (normal saline) vs. 4.13 ± 0.03 mmol/L (Test group 1) vs. 4.20 ± 0.04 mmol/L (Test group 2) vs. 4.24 ± 0.04 mmol/L (positive control): p = 0.1605].

There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 21: [4.16 ± 0.04 mmol/L (normal saline) vs. 4.15 ± 0.04 mmol/L (Test group 1) vs. 4.21 ± 0.04 mmol/L (Test group 2) vs. 4.20 ± 0.02 mmol/L (positive control): p = 0.6454].

There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 22: [4.18 ± 0.03 mmol/L (normal saline) vs. 4.17 ± 0.03 mmol/L (Test group 1) vs. 4.26 ± 0.04 mmol/L (Test group 2) vs. 4.22 ± 0.03 mmol/L (positive control): p = 0.0867].

There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 23: [4.14 ± 0.03 mmol/L (normal saline) vs. 4.18 ± 0.02 mmol/L (Test group 1) vs. 4.23 ± 0.02 mmol/L (Test group 2) vs. 4.22 ± 0.04 mmol/L (positive control): p = 0.8025].

There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 24: [4.16 ± 0.03 mmol/L (normal saline) vs. 4.12 ± 0.02 mmol/L (Test group 1) vs. 4.25 ± 0.02 mmol/L (Test group 2) vs. 4.21 ± 0.03 mmol/L (positive control): p = 0.2334].

Normal protein high calorie diet. There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 16: [5.76 ± 0.06 mmol/L (normal saline) vs. 5.78 ± 0.07 mmol/L (Test group 1) vs. 5.84 ± 0.95 mmol/L (Test group 2) vs. 6.01 ± 0.03 mmol/L (positive control): p = 0.0637].

There were no significant differences in the fasting blood glucose between the four experimental groups at the end of week 17: [5.89 ± 0.05 mmol/L (normal saline) vs. 5.91 ± 0.05 mmol/L (Test group 1) vs. 6.04 ± 0.06 mmol/L (Test group 2) vs. 6.08 ± 0.62 mmol/L (positive control): p = 0.0535].

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 18: [6.05 ± 0.05 mmol/L (normal saline) vs. 6.06 ± 0.06 mmol/L (Test group 1) vs. 6.26 ± 0.03 mmol/L (Test group 2) vs. 6.30 ± 0.04 mmol/L (positive control): p = 0.0002]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p = 0.0102), normal saline and positive control (p = 0.0018), Test group 1 and Test group 2 (p = 0.0154) and, Test group 1 and positive control (p< 0.0028).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 19: [6.47 ± 0.05 mmol/L (normal saline) vs. 6.50 ± 0.03 mmol/L (Test group 1) vs. 6.67 ± 0.05 mmol/L (Test group 2) vs. 6.69 ± 0.43 mmol/L (positive control): p = 0.0005]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p = 0.0079), normal saline and positive control (p = 0.0031), Test group 1 and Test group 2 (p = 0.2494) and, Test group 1 and positive control (p = 0.0124).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 20: [6.42 ± 0.04 mmol/L (normal saline) vs. 6.43 ± 0.04 mmol/L (Test group 1) vs. 6.81 ± 0.07 mmol/L (Test group 2) vs. 6.82 ± 0.11 mmol/L (positive control): p = 0.0022]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p = 0.0021), normal saline and positive control (p = 0.0016), Test group 1 and Test group 2 (p = 0.0027) and, Test group 1 and positive control (p = 0.0021).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 21: [6.61 ± 0.06 mmol/L (normal saline) vs. 6.58 ± 0.05 mmol/L (Test group 1) vs. 7.00 ± 0.04 mmol/L (Test group 2) vs. 7.15 ± 0.06 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 22: [6.77 ± 0.05 mmol/L (normal saline) vs. 6.72 ± 0.04 mmol/L (Test group 1) vs. 7.11 ± 0.05 mmol/L (Test group 2) vs. 7.20 ± 0.05 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 23: [6.88 ± 0.05 mmol/L (normal saline) vs. 6.90 ± 0.06 mmol/L (Test group 1) vs. 7.31 ± 0.03 mmol/L (Test group 2) vs. 7.36 ± 0.05 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 24: [6.94 ± 0.04 mmol/L (normal saline) vs. 7.42 ± 0.04 mmol/L (Test group 1) vs. 7.41 ± 0.05 mmol/L (Test group 2) vs. 7.45 ± 0.05 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

Low protein high calorie diet. There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 16: [6.50 ± 0.08 mmol/L (normal saline) vs. 6.60 ± 0.07 mmol/L (Test group 1) vs. 7.17 ± 0.06 mmol/L (Test group 2) vs. 7.04 ± 0.06 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 17: [6.83 ± 0.08 mmol/L (normal saline) vs. 6.93 ± 0.05 mmol/L (Test group 1) vs. 7.48 ± 0.04 mmol/L (Test group 2) vs. 7.44 ± 0.04 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 18: [7.23 ± 0.08 mmol/L (normal saline) vs. 7.30 ± 0.03 mmol/L (Test group 1) vs. 7.66 ± 0.05 mmol/L (Test group 2) vs. 7.69 ± 0.04 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 19: [7.45 ± 0.07 mmol/L (normal saline) vs. 7.49 ± 0.07 mmol/L (Test group 1) vs. 8.01 ± 0.05 mmol/L (Test group 2) vs. 8.03 ± 0.05 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 20: [7.70 ± 0.05 mmol/L (normal saline) vs. 7.56 ± 0.07 mmol/L (Test group 1) vs. 8.40 ± 0.06 mmol/L (Test group 2) vs. 8.36 ± 0.05 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 21: [8.08 ± 0.06 mmol/L (normal saline) vs. 8.56 ± 0.07 mmol/L (Test group 1) vs. 8.69 ± 0.06 mmol/L (Test group 2) vs. 8.74 ± 0.05 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 22: [8.36 ± 0.07 mmol/L (normal saline) vs. 8.35 ± 0.07 mmol/L (Test group 1) vs. 8.84 ± 0.07 mmol/L (Test group 2) vs. 8.91 ± 0.05 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 23: [8.51 ± 0.07 mmol/L (normal saline) vs. 8.61 ± 0.04 mmol/L (Test group 1) vs. 9.01 ± 0.05 mmol/L (Test group 2) vs. 9.19 ± 0.07 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in the fasting blood glucose between the four experimental groups at the end of week 24: [8.72 ± 0.06 mmol/L (normal saline) vs. 8.77 ± 0.04 mmol/L (Test group 1) vs. 9.29 ± 0.09 mmol/L (Test group 2) vs. 9.42 ± 0.07 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of the mean fasting blood glucose at weekly interval during the treatment phase is shown in Fig 6.

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Fig 6. Line graphs showing the mean fasting blood glucose (mmol/L) at weekly interval during the treatment phase.

Expressed as mean ± SEM. A (standard diet group), B (normal protein high calorie diet group), C (low protein high calorie diet group).

https://doi.org/10.1371/journal.pone.0298752.g006

Oral glucose tolerance test at week 24 (Treatment phase).

Standard diet. There were no significant differences in the AUC values between the four experimental groups on week 24: [638.3 ± 2.88 mmol/L.min (normal saline) vs. 646.4 ± 2.10 mmol/L.min (Test group 1) vs. 642.5 ± 4.31 mmol/L.min (Test group 2) vs. 648 ± 3.96 mmol/L.min (positive control): p = 0.1645].

Normal protein high calorie diet. There were significant differences in the AUC values between the four experimental groups on week 24: [917.7 ± 2.99 mmol/L.min (normal saline) vs. 928.7 ± 3.17 mmol/L.min (Test group 1) vs. 1025 ± 4.90 mmol/L.min (Test group 2) vs. 1029 ± 6.18 mmol/L.min (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 1 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

Low protein high calorie diet. There were significant differences in the AUC values between the four experimental groups on week 24: [1120.7 ± 5.53 mmol/L.min (normal saline) vs. 1128.4 ± 5.39 mmol/L.min (Test group 1) vs. 1264 ± 8.98 mmol/L.min (Test group 2) vs. 1282 ± 6.07 mmol/L.min (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 1 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of the mean blood glucose response and mean area under the curve during the treatment phase is shown in Fig 7.

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Fig 7. Line graphs showing the mean blood glucose (mmol/l) response to an oral glucose bolus 2 g/kg over a 2-hour period and bar graphs using the mean area under the curve (mmol/l) during the oral glucose tolerance test.

Results are expressed as mean ± SEM. ****- p < 0.0001. A (Standard diet), B (Normal protein high calorie diet, C (Low protein high calorie diet).

https://doi.org/10.1371/journal.pone.0298752.g007

Serum lipids during the treatment phase.

Standard diet. There were no significant differences in total serum cholesterol between the four experimental groups on week 24: [1.67 ± 0.07 mmol/L (normal saline) vs. 1.60 ± 0.01 mmol/L (Test group 1) vs. 1.78 ± 0.04 mmol/L (Test group 2) vs. 1.77 ± 0.04 mmol/L (positive control): p = 0.1245].

There were no significant differences in serum triglycerides between the four experimental groups on week 24: [0.96 ± 0.05 mmol/L (normal saline) vs. 0.81 ± 0.05 mmol/L (Test group 1) vs. 0.99 ± 0.04 mmol/L (Test group 2) vs. 0.98 ± 0.06 mmol/L (positive control): p = 0.1983].

There were no significant differences in LDL cholesterol between the four experimental groups on week 24: [0.49 ± 0.01 mmol/L (normal saline) vs. 0.45 ± 0.02 mmol/L (Test group 1) vs. 0.51 ± 0.02 mmol/L (Test group 2) vs. 0.50 ± 0.02 mmol/L (positive control): p = 0.1855].

There were no significant in differences HDL cholesterol between the four experimental groups on week 24: [0.73 ± 0.04 mmol/L (normal saline) vs. 0.73 ± 0.03 mmol/L (Test group 1) vs. 0.63 ± 0.03 mmol/L (Test group 2) vs. 0.64 ± 0.06 mmol/L (positive control): p = 0.1855].

The graphical presentation of the lipid profile results of the standard diet group during the treatment is shown in Fig 8.

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Fig 8. Lipid profile of the standard diet group during the treatment phase.

https://doi.org/10.1371/journal.pone.0298752.g008

Normal protein high calorie diet. There were significant differences in total serum cholesterol between the four experimental groups on week 24: [2.87 ± 0.08 mmol/L (normal saline) vs. 2.66 ± 0.06 mmol/L (Test group 1) vs. 6.05 ± 0.05 mmol/L (Test group 2) vs. 6.01 ± 0.05 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in serum triglycerides between the four experimental groups on week 24: [3.14 ± 0.11 mmol/L (normal saline) vs. 2.85 ± 0.07 mmol/L (Test group 1) vs. 7.41 ± 0.13 mmol/L (Test group 2) vs. 7.49 ± 0.13 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in LDL cholesterol between the four experimental groups on week 24: [1.38 ± 0.13 mmol/L (normal saline) vs. 1.32 ± 0.15 mmol/L (Test group 1) vs. 3.94 ± 0.03 mmol/L (Test group 2) vs. 3.83 ± 0.08 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in HDL cholesterol between the four experimental groups on week 24: [2.02 ± 0.04 mmol/L (normal saline) vs. 1.99 ± 0.03 mmol/L (Test group 1) vs. 0.38 ± 0.05 mmol/L (Test group 2) vs. 0.40 ± 0.05 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of the lipid profile results of the normal protein high calorie diet group during the treatment is shown in Fig 9.

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Fig 9. Lipid profile of the normal protein high calorie diet group during the treatment phase.

Results are expressed as mean ± SEM. (****- p < 0.0001).

https://doi.org/10.1371/journal.pone.0298752.g009

Low protein high calorie diet. There were significant differences in total serum cholesterol between the four experimental groups on week 24: [3.77 ± 0.06 mmol/L (normal saline) vs. 3.64 ± 0.06 mmol/L (Test group 1) vs. 8.60 ± 0.15 mmol/L (Test group 2) vs. 8.65 ± 0.16 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in serum triglycerides between the four experimental groups on week 24: [4.49 ± 0.14 mmol/L (normal saline) vs. 4.24 ± 0.12 mmol/L (Test group 1) vs. 9.25 ± 0.13 mmol/L (Test group 2) vs. 9.13 ± 0.18 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in LDL cholesterol between the four experimental groups on week 24: [2.51 ± 0.11 mmol/L (normal saline) vs. 2.68 ± 0.10 mmol/L (Test group 1) vs. 4.78 ± 0.14 mmol/L (Test group 2) vs. 5.12 ± 0.09 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in HDL cholesterol between the four experimental groups on week 24: [3.37 ± 0.07 mmol/L (normal saline) vs. 3.37 ± 0.13 mmol/L (Test group 1) vs. 0.19 ± 0.03 mmol/L (Test group 2) vs. 0.20 ± 0.03 mmol/L (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of the lipid profile results of the low protein high calorie diet group during the treatment is shown in Fig 10.

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Fig 10. Lipid profile of the low protein high calorie diet group during the treatment phase.

Results are expressed as mean ± SEM. (****- p < 0.0001).

https://doi.org/10.1371/journal.pone.0298752.g010

Adipose tissue weight at the end of the treatment phase.

Standard diet. There were no significant differences in retroperitoneal adipose tissue weight between the four experimental groups [8.11 ± 0.06 g (normal saline) vs. 8.08 ± 0.04 g (Test group 1) vs. 8.38 ± 0.11 g (Test group 2) vs. 8.22 ± 0.11 g (positive control): p = 0.0980].

There were no significant differences in mesenteric adipose tissue weight between the four experimental groups [11.08 ± 0.08 g (normal saline) vs. 10.96 ± 0.12 g (Test group 1) vs. 11.24 ± 0.09 g (Test group 2) vs. 11.31 ± 0.08 g (positive control): p = 0.0748].

There were no significant differences in pericardial adipose tissue weight between the four experimental groups [2.82 ± 0.04 g (normal saline) vs. 2.76 ± 0.05 g (Test group 1) vs. 2.91 ± 0.04 g (Test group 2) vs. 2.92 ± 0.05 g (positive control): p = 0.0631]. The graphical presentation of the adipose tissue weights results of the standard diet group during the treatment is shown in Fig 11.

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Fig 11. Adipose tissue weights (grams) of the standard diet group during the treatment phase.

https://doi.org/10.1371/journal.pone.0298752.g011

Normal protein high calorie diet. There were significant differences in retroperitoneal adipose tissue weight between the four experimental groups [10.49 ± 0.08 g (normal saline) vs. 10.25 ± 0.11 g (Test group 1) vs. 12.75 ± 0.09 g (Test group 2) vs. 12.82 ± 0.07 g (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in mesenteric adipose tissue weight between the four experimental groups [13.64 ± 0.10 g (normal saline) vs. 13.54 ± 0.09 g (Test group 1) vs. 16.75 ± 0.11 g (Test group 2) vs. 16.60 ± 0.10 g (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in pericardial adipose tissue weight between the four experimental groups [4.43 ± 0.78 g (normal saline) vs. 4.27 ± 0.07 g (Test group 1) vs. 8.35 ± 0.10 g (Test group 2) vs. 8.24 ± 0.73 g (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of the adipose tissue weights results of the normal protein high calorie diet group during the treatment is shown in Fig 12.

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Fig 12. Adipose tissue weights (grams) of the normal protein high calorie group during the treatment phase.

https://doi.org/10.1371/journal.pone.0298752.g012

Low protein high calorie diet. There were significant differences in retroperitoneal adipose tissue weight between the four experimental groups [14.46 ± 0.11 g (normal saline) vs. 14.52 ± 0.13 g (Test group 1) vs. 17.51 ± 0.09 g (Test group 2) vs. 17.48 ± 0.10 g (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in mesenteric adipose tissue weight between the four experimental groups [15.51 ± 0.12 g (normal saline) vs. 15.25 ± 0.07 g (Test group 1) vs. 20.47 ± 0.09 g (Test group 2) vs. 20.53 ± 0.89 g (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

There were significant differences in pericardial adipose tissue weight between the four experimental groups [6.43 ± 0.08 g (normal saline) vs. 6.21 ± 0.08 g (Test group 1) vs. 9.41 ± 0.10 g (Test group 2) vs. 9.46 ± 0.13 g (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of the adipose tissue weights results of the normal protein high calorie diet group during the treatment is shown in Fig 13.

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Fig 13. Adipose tissue weights (grams) of the low protein high calorie group during the treatment phase.

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Liver weights during the treatment phase.

Standard diet. There were no significant differences in mean liver weight between the four experimental groups [15.58 ± 0.32g (normal saline) vs. 16.04 ± 0.11 g (Test group 1) vs. 16.14 ±0.24 g (Test group 2) vs. 16.25 ± 0.14 g (positive control): p = 0.2986].

Normal protein high calorie diet. There were significant differences in mean liver weight between the four experimental groups [20.99 ± 0.25 g (normal saline) vs. 21.21 ± 0.29 g (Test group 1) vs. 23.34 ± 0.29 g (Test group 2) vs. 23.22 ± 0.19 g (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

Low protein high calorie diet. There were significant differences in mean liver weight between the four experimental groups [24.92 ± 0.19 g (normal saline) vs. 25.11 ± 0.11 g (Test group 1) vs. 28.22 ± 0.18 g (Test group 2) vs. 28.72 ± 0.19 g (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

The graphical presentation of the liver weights during the treatment phase is shown in Fig 14.

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Fig 14. Liver weights (grams) at the end of the treatment phase.

A (standard diet group), B (normal protein high calorie diet group), C (low protein high calorie diet group). Results are expressed as mean ± SEM. (****- p < 0.0001).

https://doi.org/10.1371/journal.pone.0298752.g014

Fasting plasma insulin levels during the treatment phase.

Standard diet. There were no significant differences in fasting plasma insulin levels between the four experimental groups [4.420 ± 0.2529 mU/L (normal saline) vs. 4.750 ± 0.1668 mU/L (Test group 1) vs. 4.970 ± 0.1430 mU/L (Test group 2) vs. 4.910 ± 0.1501mU/L (positive control): p = 0.1641].

Normal protein high calorie diet. There were significant differences in fasting plasma insulin levels between the four experimental groups [5.750 ± 0.1759 mU/L (normal saline) vs. 5.590 ± 0.1882 mU/L (Test group 1) vs. 10.73 ± 0.2587 mU/L (Test group 2) vs. 11.02 ± 0.2555 mU/L (positive control): p < 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

Low protein high calorie diet. There were significant differences in fasting plasma insulin levels between the four experimental groups [8.410 ± 0.2238 mU/L (normal saline) vs. 8.840 ± 0.1956 mU/L (Test group 1) vs. 17.30 ± 0.2547 mU/L (Test group 2) vs. 18.04 ± 0.2837 mU/L (positive control): p < 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of the fasting serum insulin level during the treatment phase is shown in Fig 15.

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Fig 15. Fasting plasma insulin levels (mU/L) at the end of the treatment phase.

A (standard diet group), B (normal protein high calorie diet group), C (low protein high calorie diet group). Results are expressed as mean ± SEM. (****- p < 0.0001).

https://doi.org/10.1371/journal.pone.0298752.g015

Homeostatic model assessment for insulin resistance (HOMA-IR) during the treatment phase.

Standard diet. There were no significant differences in HOMA-IR between the four experimental groups [0.8160 ± 0.05523 arbitrary units (normal saline) vs. 1.729 ± 0.05642 arbitrary units (Test group 1) vs. 3.535 ± 0.09142 arbitrary units (Test group 2) vs. 3.649 ± 0.08888 arbitrary units (positive control): p = 0.1173].

Normal protein high calorie diet. There were significant differences in HOMA-IR between the four experimental groups [1.772 ± 0.04624 arbitrary units (normal saline) vs. 0.8700 ± 0.03197 arbitrary units (Test group 1) vs. 0.9210 ± 0.02354 arbitrary units (Test group 2) vs. 0.9170 ± 0.02970 arbitrary units (positive control): <0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

Low protein high calorie diet. There were significant differences in HOMA-IR between the four experimental groups [3.264 ± 0.1052 arbitrary units (normal saline) vs. 3.446 ± 0.07845 arbitrary units (Test group 1) vs. 7.146 ± 0.1516 arbitrary units (Test group 2) vs. 7.552 ± 0.1189 arbitrary units (positive control): < 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of the HOMA-IR during the treatment phase is shown in Fig 16.

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Fig 16. HOMA-IR (arbitrary units) at the end of the treatment phase.

A (standard diet group), B (normal protein high calorie diet group), C (low protein high calorie diet group). Results are expressed as mean ± SEM. (****- p < 0.0001).

https://doi.org/10.1371/journal.pone.0298752.g016

Homeostatic model assessment for β-cell function (HOMA-B) during the treatment phase.

Standard diet. There were no significant differences in HOMA-B between the four experimental groups [17.78 ± 1.247 arbitrary units (normal saline) vs. 19.56 ± 0.7834 arbitrary units (Test group 1) vs. 20.38 ± 0.8163 arbitrary units (Test group 2) vs. 19.84 ± 0.7179 arbitrary units (positive control): p = 0.2274].

Normal protein high calorie diet. There were significant differences in HOMA-B between the four experimental groups [13.07± 0.5179 arbitrary units (normal saline) vs. 12.56 ± 0.6062 arbitrary units (Test group 1) vs. 25.47 ± 0.7097 arbitrary units (Test group 2) vs. 26.09 ± 0.6906 arbitrary units (positive control): <0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

Low protein high calorie diet. There were significant differences in HOMA-B between the four experimental groups [15.77± 0.4268 arbitrary units (normal saline) vs. 16.66 ± 0.4482 arbitrary units (Test group 1) vs. 33.75 ± 0.4470 arbitrary units (Test group 2) vs. 34.83 ± 0.7251 arbitrary units (positive control): <0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of the HOMA-B during the treatment phase is shown in Fig 17.

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Fig 17. HOMA-B (arbitrary units) at the end of the treatment phase.

A (standard diet group), B (normal protein high calorie diet group), C (low protein high calorie diet group). Results are expressed as mean ± SEM. (****- p < 0.0001).

https://doi.org/10.1371/journal.pone.0298752.g017

Hepatic triglycerides during the treatment phase.

Standard diet. There were no significant differences in hepatic triglycerides content between the four experimental groups [3.77 ± 0.12 mg/g (normal saline) vs. 3.75 ± 0.07 mg/g (Test group 1) vs. 3.95 ± 0.07 mg/g (Test group 2) vs. 3.96 ± 0.06 mg/g (positive control): p = 0.1664].

Normal protein high calorie diet. There were significant differences in hepatic triglycerides content between the four experimental groups [4.46 ± 0.15 mg/g (normal saline) vs. 4.80 ± 0.16 mg/g (Test group 1) vs. 6.15 ± 0.14 mg/g (Test group 2) vs. 6.05 ± 0.17 mg/g (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001).

Low protein high calorie diet. There were significant differences in hepatic triglycerides content between the four experimental groups [6.46 ± 0.10 mg/g (normal saline) vs. 6.18 ± 0.09 mg/g (Test group 1) vs. 9.73 ± 0.14 mg/g (Test group 2) vs. 9.70 ± 0.12 mg/g (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p< 0.0001), normal saline and positive control (p< 0.0001), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of the hepatic triglycerides during the treatment phase is shown in Fig 18.

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Fig 18. Hepatic triglyceride (mg/g) at the end of the treatment phase.

Expressed as mean ± SEM. A (standard diet group), B (normal protein high calorie diet group), C (low protein high calorie diet group).

https://doi.org/10.1371/journal.pone.0298752.g018

Growth hormone levels during the treatment phase.

Standard diet. There were no significant differences in growth hormone levels between the four experimental groups [9.992 ± 0.2529 ng/mL (normal saline) vs. 10.45 ± 0.1840 ng/mL (Test group 1) vs. 9.923 ± 0.2186 ng/mL (Test group 2) vs. 9.921 ± 0.1418 ng/mL (positive control): p = 0.1344].

Normal protein high calorie diet. There were significant differences in growth hormone levels between the four experimental groups [9.728 ± 0.09886 ng/mL (normal saline) vs. 9.735 ± 0.1791 ng/mL (Test group 1) vs. 8.593 ± 0.2344 ng/mL (Test group 2) vs. 8.600 ± 0.1986 ng/mL (positive control): p = <0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p = 0.0006), normal saline and positive control (p = 0.0006), Test group 1 and Test group 2 (p = 0.0006) and, Test group 1 and positive control (p = 0.0006).

Low protein high calorie diet. There were significant differences in growth hormone levels between the four experimental groups [8.565 ± 0.1440 ng/mL (normal saline) vs. 8.654 ± 0.1497 ng/mL (Test group 1) vs. 7.529 ± 0.2114 ng/mL (Test group 2) vs. 7.514 ± 0.1063 ng/mL (positive control): p< 0.0001]. Post-hoc statistical analysis using Tukey’s multiple comparisons test revealed significant differences between normal saline and Test group 2 (p = 0.0002), normal saline and positive control (p = 0.0002), Test group 1 and Test group 2 (p< 0.0001) and, Test group 1 and positive control (p< 0.0001). The graphical presentation of growth hormone levels during the treatment phase is shown in Fig 19.

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Fig 19. Growth levels (ng/mL) at the end of the treatment phase.

A (standard diet group), B (normal protein high calorie diet group), C (low protein high calorie diet group). Results are expressed as mean ± SEM. (****- p < 0.0001).

https://doi.org/10.1371/journal.pone.0298752.g019

Discussion

Although Sub-Saharan Africa contains only about 18% of the global population it bears a disproportionate burden of the global HIV/AIDS burden with 60% of the people living with HIV/AIDS (PLWH) being found there [11]. In addition, the majority of the world’s poorest people live in SSA meaning that many of the PLWH face nutritional challenges in terms of accessing balanced diets bearing in mind that dietary protein is generally more expensive than carbohydrates and lipids [12]. The objective of this study was to examine the obesogenic properties of the low protein high calorie diet as well as its interactions with the newly introduced Integrase-based cART regimens. The normal protein high calorie and low protein high calorie diets successfully induced; hyperglycemia, insulin resistance, and weight gain by the 15th week of the study. The normal protein high calorie diet model has previously been shown to induce metabolic syndrome in Sprague Dawley rats [13, 14].

The low protein high calorie diet was significantly obesogenic in this study and indeed displayed greater though non-significant obesogenic activity than the classical normal protein high calorie diet (cafeteria diet). In addition, it had significantly more deleterious effects on glucose tolerance than the cafeteria diet. There are several possible mechanistic explanations for the observed experimental findings.

Protein malnutrition is associated with inflammation due to intestinal dysbiotic microbiota (low diversity, increased prevalence of aerotolerant and decreased prevalence of beneficial commensal species) [15] and increased plasma concentrations of several mediators of the inflammatory cascade such as pro-inflammatory cytokines e.g., interleukin 6, C-reactive protein and the soluble receptors tumor necrosis factor α (sTNFR-p55 and sTNFR-p75) [16]. The antioxidant status is also significantly reduced [17]. Pro-inflammatory cytokines decrease insulin secretion in a clonal pancreatic β-cell line, explaining the classical features of metabolic syndrome, including central adiposity, hyperglycemia, and dyslipidemia seen in-vivo models [18]. An alternative theory is that protein malnutrition can cause the characteristics features of metabolic syndrome by inducing the production of hepatic fibroblast growth factor 21(FGF21) [19] which then interacts with β-klotho receptors in the brain triggering hyperphagia and ultimately resulting in energy overconsumption [20]. Similarly, a low protein diet is associated with histological evidence of hepatic steatosis that are attributed to endoplasmic reticulum stress, perturbation of autophagy, mitochondrial dysfunction, hepatocellular apoptosis, gut microbiota imbalance, dysregulation of microRNAs [21] and a loss of peroxisomes, which are important for normal liver metabolic function [22].

In cases of obesity, adipocytes undergo both hyperplasia and hypertrophy, displaying structural and functional deficiencies that ultimately alter their secretory and humoral characteristics [23]. The release of inflammatory agents by enlarged fat cells [24] is linked to the chronic low-grade inflammation (meta inflammation) characteristic of metabolic syndrome. Increased visceral fat is correlated with various adverse health effects. For instance, adipocytes laden with fat exhibit poor responsiveness to insulin stimulation [25] leading to hyperinsulinemia (insulin resistance) and hyperglycemia. This impaired insulin response extends beyond adipocytes, affecting other tissues such as skeletal muscle and the liver [26, 27].

The glucose handling in the animals belonging to the low protein high calorie diet group was significantly worse than in the animals belonging to the other dietary groups as shown by the fasting blood glucose and oral glucose tolerance tests. Both the fasting blood glucose and oral tolerance tests have been used as hallmark tests for the evaluation of insulin sensitivity and insulin resistance [28]. Previous published studies have shown that low protein diets are often associated with decreased glucose tolerance and reduced insulin secretion [29]. High calorie diets have been shown to have similar effects [30]. The morphology of the pancreatic islet has been shown to be altered in animal models of high calorie malnutrition [31]. The diminished number of β-cells per islet coupled with decreased levels of insulin secretion per unit β-cell may explain the observed hyperglycemia [32]. The increased inflammation and gut leakage may also explain the above experimental results [33].

The utilization of DTG is on the rise, particularly in low to middle-income countries, where it is incorporated into a single-tablet regimen known as tenofovir/lamivudine/dolutegravir (TLD). This is attributed to DTG’s high resistance barrier, once-daily dosing, and its independence from pharmacologic boosting [34]. Consequently, it becomes crucial to assess potential adverse effects of DTG, especially among people living with HIV (PLWH), particularly those experiencing metabolic changes typically associated with older cART regimens. The second phase of this study aims to explore the interactions between DTG-based cART and diet, with a specific focus on a comparison with older cART regimens. In addition, it also aimed to investigate whether tesamorelin, a growth hormone secretion stimulant ameliorated the observed metabolic derangements.

There were significant weight gains in the animals receiving DTG-containing cART treatment regimens as well as those receiving the classical cART regimens in both the normal protein high calorie and low protein high calorie but not in the normal diet groups. These results are in line with those in literature where weight gain has been described as the most prominent metabolic side effect of second-generation integrase strand transfer inhibitors (INSTI) e.g., DTG [35]. The underlying pathophysiologic mechanisms underlying INSTI- associated weight gain remain unknown but proposed mechanisms include but are not limited to, direct impacts on adipogenesis [36], and gut microbiome disturbances [37] among others. It is noteworthy that the DTG effects on weight gain were prevented by co-administration with tesamorelin in this study, implying that it possesses additional activity against cART-induced obesity in addition to its documented anti lipodystrophy activity.

Several recent studies, predominantly conducted at single sites or with specific cohorts, indicate a higher incidence of weight gain in individuals initiating antiretroviral therapy (ART) with integrase strand transfer inhibitor (INSTI)-based regimens compared to those using protease inhibitors (PI) or non-nucleoside reverse transcriptase inhibitors (NNRTI)-based regimens. For instance, in a Brazilian cohort, people living with HIV (PLWH) on Raltegravir (RAL)-based regimens were seven times more likely to develop obesity (BMI ≥ 30 kg/m2) than those on NNRTI- or PI-based regimens [38]. Other observational studies also suggest that INSTI-based regimens, and particularly those utilizing dolutegravir (DTG) as part of ART, tend to be associated with a higher likelihood of weight gain [39]. In clinical trials, it has been observed that women and individuals of black ethnicity experience the most significant weight gain when using integrase inhibitors. Furthermore, there is evidence indicating that the nucleoside reverse transcriptase backbone may contribute to additional effects on weight gain, with tenofovir alafenamide potentially intensifying this effect [40].

Both the DTG-based and the classical cART regimens were associated with the development of hyperglycemia and impaired oral glucose tolerance when administered animals in the normal protein high calorie as well as the low protein high calorie diet groups respectively. These deleterious effects on glucose handling were however absent in the normal diet groups. In addition, these deleterious effects were prevented when the DTG-containing cART regimens were co-administered with tesamorelin.

Previous published studies have reported that integrase strand transfer inhibitor (INSTI) based cART regimens are associated with accelerated hyperglycemia in obese patient populations [40]. The pathophysiologic mechanisms responsible for the acceleration of hyperglycemia in these populations remain unclear but it has been postulated that these agents may contribute to beta-cell dysfunction and/or insulin resistance independent of weight again [41].

While the use of pharmacological doses of recombinant human Growth Hormone is known to lead to hyperglycemia, insulin resistance, fluid retention, and carpal tunnel syndrome [42], the utilization of analogs of growth hormone-releasing factor (GRF)/growth hormone-releasing hormone (GHRH) presents an alternative approach. These analogs stimulate natural increases in growth hormone (GH) levels while preserving the negative feedback mechanisms of insulin-like growth factor-1 (IGF-1). This helps address the metabolic irregularities and changes in body composition associated with low GH levels particularly with regard to hyperglycemia [43]. Indeed, MR-409, a GHRH receptor agonist, has been shown to induce Akt signaling via activation of insulin receptor substrate 2 (IRS2), a central controller of survival and growth in β-cells, occurs through a PKA-dependent mechanism [44]. The elevation in the functionality of the cAMP/PKA/CREB/IRS2 pathway induced by MR-409 was linked to a reduction in β-cell mortality and enhanced insulin secretion in both mouse and human islets exposed to proinflammatory cytokines. In addition, type 1 diabetic mice treated with MR-409 which (induced via the administration of low-dose streptozotocin) demonstrated improved glucose regulation, elevated insulin levels, and maintenance of β-cell mass [45]. The foregoing discussion therefore provides a probable explanation for the improved glycemic control observed when tesamorelin was co-administered with the various cART regimens in this study. Both the DTG-containing and classical cART regimens induced the central adiposity, dyslipidemia (hypertriglyceridemia, elevated LDL and total cholesterol, lowered HDL-cholesterol), as well as the non-alcoholic fatty liver disease (as shown by the elevated hepatic index and hepatic triglycerides) that are characteristic of cART associated metabolic dysfunction. It is noteworthy that this cART associated metabolic dysfunction was absent in the normal diet groups.

Integrase strand transfer inhibitor (INSTI) based antiretroviral therapy has been reported to exhibit minimal increases in total cholesterol, serum triglyceride levels, LDL-cholesterol as well as causing an increase in HDL-cholesterol in a general population [46]. These results were replicated in this study in the normal diet group. However, dyslipidemia was observed in both the normal protein high calorie and low protein high calorie groups indicating that the DRG-based cART regimen interacts with high calorie diets in a manner analogous to that of the traditional cART. This to our knowledge, is the first study that has attempted to investigate the interaction between INSTI-based cART regimen and a high calorie diet and is a potentially novel finding.

Initiation of cART is often associated with central adiposity and eventually an increase in body weight [47]. Central adiposity is associated with low serum growth hormone levels [48]. Indeed, GH serum levels have been reported to be significantly lower in persons with lipodystrophy regardless of HIV status with the extent of visceral adipose tissue accumulation being closely correlated to the level of blunting of GH secretion [49]. Additionally, in-depth physiological investigations have revealed a diminished growth hormone (GH) secretion per pulse in individuals with normal pulse frequency. GH plays a role in increasing lipolysis and inhibiting de novo lipogenesis, establishing a mechanistic connection between decreased GH secretion and the documented buildup of abdominal fat and hepatic steatosis within this specific patient group [50]. The foregoing discussion provides an explanation for the ameliorative effects of tesamorelin when co-administered together with cART in both the low protein high calorie and normal protein diets in this study.

In particular, tesamorelin significantly ameliorated the central adiposity, possessed significant antidyslipidemic effects, and reduced hepatic adiposity. These beneficial effects mirror those in published literature where it has been reported to significantly reduce visceral fat by nearly 20%, decrease triglycerides by roughly 15%, reduced liver fat thereby halting the progression of hepatic fibrosis in patients with HIV-associated non-alcoholic fatty liver disease (NAFLD). This approach is accompanied by positive alterations in hepatic gene expression, contributing to an enhanced quality of life for patients. [51]. The limitation of this study is that the rats were not HIV positive and therefore cannot completely reproduce the cART dysregulations seen in HIV positive human subject.

Conclusion

This study showed that the low protein high calorie diet was obesogenic. These obesogenic activities were as great as /exceeded that of the classical cafeteria diet (normal protein high calorie diet) in addition this lowprotein high calorie diet interacted with both IICR and classical cART drug regimen to reproduce cART associated metabolic dysregulations. These dysregulations were however reversed by co-treatment with tesamorelin indicating the possible involvement of the growth hormone system dysfunction in its pathophysiology.

The finding from this study therefore may provide a potential pathophysiologic explanation for the observed increased mortality rate seen in sub-Saharan Africa when cART is initiated in patients with nutritional insufficiency.

Supporting information

S1 File. Mean weekly body weight during diet induction phase.

https://doi.org/10.1371/journal.pone.0298752.s001

(PDF)

S2 File. Mean fasting body glucose levels during the diet induction phase.

https://doi.org/10.1371/journal.pone.0298752.s002

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S3 File. Oral Glucose tolerance at week 15.

https://doi.org/10.1371/journal.pone.0298752.s003

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S5 File. Mean weekly body weight for standard diet group during treatment phase.

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S6 File. Mean weekly body weight for NPHC diet group during treatment phase.

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S7 File. Mean weekly body weight for LPHC diet group during treatment phase.

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S8 File. Mean weekly fasting blood glucose levels for standard diet group during treatment phase.

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S9 File. Mean weekly fasting blood glucose levels for NPHC group during treatment phase.

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S10 File. Mean weekly fasting blood glucose levels for LPHC diet group during treatment phase.

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S11 File. Oral glucose tolerance test for standard diet group during treatment phase.

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S12 File. Oral glucose test for NPHC diet group during treatment phase.

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S13 File. Oral glucose tolerance test for LPHC diet group during treatment phase.

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S14 File. Area under the standard diet during the oral glucose tolerance test during treatment phase.

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S15 File. Area under the curve for LPHC during the oral glucose tolerance test during treatment phase.

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S16 File. Area under the curve for NPHC during the oral glucose tolerance test during treatment phase.

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S17 File. Serum triglyceride for the standard diet during the treatment phase.

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S18 File. LDL for the standard diet during the treatment phase.

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S19 File. HDL for the standard diet during the treatment phase.

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S20 File. Total serum cholesterol for the NPHC during the treatment phase.

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S21 File. Serum triglyceride for the NPHC during the treatment phase.

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S22 File. Total serum cholesterol for the standard diet during the treatment phase.

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S23 File. LDL for the NPHC during the treatment phase.

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S24 File. HDL for the NPHC during the treatment phase.

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S25 File. Serum triglyceride for the LPHC during the treatment phase.

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S26 File. LDL for the LPHC during the treatment phase.

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S27 File. HDL for the LPHC during the treatment phase.

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S28 File. Retroperiotoneal adipose tissue for the standard diet group during the treatment phase.

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S29 File. Mesenteric adipose tissue for the standard diet group during the treatment phase.

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S30 File. Pericardial adipose tissue for the standard diet group during the treatment phase.

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S31 File. Retroperiotoneal adipose tissue for the NPHC diet during the treatment phase.

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S32 File. Mesenteric adipose tissue for the NPHC diet during the treatment phase.

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S33 File. Pericardial adipose tissue for the NPHC during the treatment phase.

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S34 File. Retroperiotoneal adipose tissue for the LPHC diet during the treatment phase.

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S35 File. Mesenteric adipose tissue for the LPHC diet during the treatment phase.

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S36 File. Pericardial adipose tissue for the LPHC during the treatment phase.

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S37 File. Total cholesterol for the LPHC during the treatment phase.

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S38 File. Liver weights for the LPHC diet group during the treatment phase.

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S39 File. HOMA IR for the standard diet group during the treatment phase.

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S40 File. Liver weights for the NPHC diet group during the treatment phase.

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S41 File. HOMA IR for the LPHC diet group during the treatment phase.

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S42 File. HOMA IR for the NPHC diet group during the treatment phase.

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S43 File. Liver weights for the standard diet group during the treatment phase.

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S44 File. Fasting insulin levels for the NPHC diet group during the treatment phase.

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S45 File. Fasting insulin levels for the LPHC diet group during the treatment phase.

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S46 File. Fasting insulin levels for the standard diet group during the treatment phase.

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S47 File. HOMA B for the LPHC diet group during the treatment phase.

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S48 File. Hepatic triglyceride for the standard diet group during the treatment phase.

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S49 File. Hepatic triglyceride for the NPHC diet group during the treatment phase.

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S50 File. Hepatic triglyceride for the LPHC diet group during the treatment phase.

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S51 File. Growth hormone levels for the standard diet group during the treatment phase.

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S52 File. Growth hormone levels for the NPHC diet group during the treatment phase.

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S53 File. Growth hormone levels for the LPHC diet group during the treatment phase.

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S54 File. HOMA B for the NPHC diet group during the treatment phase.

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S55 File. HOMA B for the standard diet group during the treatment phase.

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Acknowledgments

The authors want to express their gratitude for the valuable technical support provided by Ms. Abigeal Mutua, Mr. Horo Mwaura, Martin Omondi and Preetesh Jakhari.

References

  1. 1. Pedro MN, Rocha GZ, Guadagnini D, Santos A, Magro DO, Assalin HB, et al. Insulin Resistance in HIV-Patients: Causes and Consequences. Front Endocrinol. 2018;0. pmid:30233499
  2. 2. Maggi P, Di Biagio A, Rusconi S, Cicalini S, D’Abbraccio M, d’Ettorre G, et al. Cardiovascular risk and dyslipidemia among persons living with HIV: a review. BMC Infectious Diseases. 2017;17: 551. pmid:28793863
  3. 3. Aliyu AA, Amadu L. Urbanization, cities, and health: The challenges to Nigeria—A review. Ann Afr Med. 2017;16: 149–158. pmid:29063897
  4. 4. Kharsany ABM, Karim QA. HIV Infection and AIDS in Sub-Saharan Africa: Current Status, Challenges and Opportunities. Open AIDS J. 2016;10: 34–48. pmid:27347270
  5. 5. Koethe JR, Heimburger DC. Nutritional aspects of HIV-associated wasting in sub-Saharan Africa. Am J Clin Nutr. 2010;91: 1138S–1142S. pmid:20147470
  6. 6. Nair AB, Jacob S. A simple practice guide for dose conversion between animals and human. J Basic Clin Pharm. 2016;7: 27–31. pmid:27057123
  7. 7. Lee G, Goosens KA. Sampling blood from the lateral tail vein of the rat. J Vis Exp. 2015; e52766. pmid:26065632
  8. 8. Bartoli E, Fra GP, Schianca GPC. The oral glucose tolerance test (OGTT) revisited. European Journal of Internal Medicine. 2011;22: 8–12. pmid:21238885
  9. 9. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28: 412–419. pmid:3899825
  10. 10. Butler WM, Maling HM, Horning MG, Brodie BB. The direct determination of liver triglycerides. Journal of Lipid Research. 1961;2: 95–96.
  11. 11. Pepperrell T, Hill A, Moorhouse M, Clayden P, McCann K, Sokhela S, et al. Phase 3 trials of new antiretrovirals are not representative of the global HIV epidemic. Journal of Virus Eradication. 2020;6: 70–73. pmid:32405424
  12. 12. Massell R. Positive Living: Nutritional Realities and Interventions for People Living with HIV/AIDS in Northwest Province, Cameroon. Independent Study Project (ISP) Collection. 2006. https://digitalcollections.sit.edu/isp_collection/265
  13. 13. Chege BM, Waweru MP, Frederick B, Nyaga NM. The freeze-dried extracts of Rotheca myricoides (Hochst.) Steane & Mabb possess hypoglycemic, hypolipidemic and hypoinsulinemic on type 2 diabetes rat model. Journal of Ethnopharmacology. 2019;244: 112077. pmid:31369832
  14. 14. Zhao L, Guo X, Wang O, Zhang H, Wang Y, Zhou F, et al. Fructose and glucose combined with free fatty acids induce metabolic disorders in HepG2 cell: A new model to study the impacts of high-fructose/sucrose and high-fat diets in vitro. Molecular Nutrition & Food Research. 2016;60: 909–921. pmid:26763130
  15. 15. Massironi S, Viganò C, Palermo A, Pirola L, Mulinacci G, Allocca M, et al. Inflammation and malnutrition in inflammatory bowel disease. The Lancet Gastroenterology & Hepatology. 2023;8: 579–590. pmid:36933563
  16. 16. Alaaraj N, Soliman A, Rogol AD. Growth of malnourished infants and children: how is inflammation involved? Expert Review of Endocrinology & Metabolism. 2021;16: 213–216. pmid:34289758
  17. 17. Sauerwein R, Mulder J, Mulder L, Lowe B, Peshu N, Demacker P, et al. Inflammatory mediators in children with protein-energy malnutrition. The American Journal of Clinical Nutrition. 1997;65: 1534–1539. pmid:9129488
  18. 18. DeBoer MD, Scharf RJ, Leite AM, Férrer A, Havt A, Pinkerton R, et al. Systemic inflammation, growth factors, and linear growth in the setting of infection and malnutrition. Nutrition. 2017;33: 248–253. pmid:27712965
  19. 19. Pezeshki A, Chelikani PK. Low Protein Diets and Energy Balance: Mechanisms of Action on Energy Intake and Expenditure. Front Nutr. 2021;8: 655833. pmid:34055853
  20. 20. Khan MS, Spann RA, Münzberg H, Yu S, Albaugh VL, He Y, et al. Protein Appetite at the Interface between Nutrient Sensing and Physiological Homeostasis. Nutrients. 2021;13: 4103. pmid:34836357
  21. 21. Palomer X, Capdevila-Busquets E, Botteri G, Salvadó L, Barroso E, Davidson MM, et al. PPARβ/δ attenuates palmitate-induced endoplasmic reticulum stress and induces autophagic markers in human cardiac cells. International Journal of Cardiology. 2014;174: 110–118. pmid:24767130
  22. 22. van Zutphen T, Ciapaite J, Bloks VW, Ackereley C, Gerding A, Jurdzinski A, et al. Malnutrition-associated liver steatosis and ATP depletion is caused by peroxisomal and mitochondrial dysfunction. Journal of Hepatology. 2016;65: 1198–1208. pmid:27312946
  23. 23. Villena JA, Viollet B, Andreelli F, Kahn A, Vaulont S, Sul HS. Induced Adiposity and Adipocyte Hypertrophy in Mice Lacking the AMP-Activated Protein Kinase-α2 Subunit. Diabetes. 2004;53: 2242–2249. pmid:15331533
  24. 24. Kawai T, Autieri MV, Scalia R. Adipose tissue inflammation and metabolic dysfunction in obesity. Am J Physiol Cell Physiol. 2021;320: C375–C391. pmid:33356944
  25. 25. Russo L, Lumeng CN. Properties and functions of adipose tissue macrophages in obesity. Immunology. 2018;155: 407–417. pmid:30229891
  26. 26. Abdul-Ghani MA, DeFronzo RA. Pathogenesis of insulin resistance in skeletal muscle. J Biomed Biotechnol. 2010;2010: 476279. pmid:20445742
  27. 27. Krebs M, Roden M. Molecular mechanisms of lipid-induced insulin resistance in muscle, liver and vasculature. Diabetes, Obesity and Metabolism. 2005;7: 621–632. pmid:16219006
  28. 28. Eyth E, Basit H, Swift C. Glucose Tolerance Test. StatPearls. 2023 [cited 18 May 2023]. https://www.statpearls.com/ArticleLibrary/viewarticle/22312
  29. 29. Dahri S, Snoeck A, Reusens-Billen B, Remacle C, Hote JJ. Islet Function in Offspring of Mothers on Low-Protein Diet During Gestation. Diabetes. 1991;40: 115–120. pmid:1748239
  30. 30. Ouwens DM, Boer C, Fodor M, de Galan P, Heine RJ, Maassen JA, et al. Cardiac dysfunction induced by high-fat diet is associated with altered myocardial insulin signalling in rats. Diabetologia. 2005;48: 1229–1237. pmid:15864533
  31. 31. M R.j., V A., Chakraborthy A, MK B., Shetty A. V, Badanthadka M. Protein malnutrition in BALB/C mice: A model mimicking clinical scenario of marasmic-kwashiorkor malnutrition. Journal of Pharmacological and Toxicological Methods. 2023;119: 107231. pmid:36410663
  32. 32. Reis MAB, Carneiro EM, Mello MAR, Boschero AC, Saad MJA, Velloso LA. Glucose-Induced Insulin Secretion Is Impaired and Insulin-Induced Phosphorylation of the Insulin Receptor and Insulin Receptor Substrate-1 Are Increased in Protein-Deficient Rats. The Journal of Nutrition. 1997;127: 403–410. pmid:9082023
  33. 33. Winer DA, Luck H, Tsai S, Winer S. The Intestinal Immune System in Obesity and Insulin Resistance. Cell Metab. 2016;23: 413–426. pmid:26853748
  34. 34. Fantauzzi A, Mezzaroma I. Dolutegravir: clinical efficacy and role in HIV therapy. Therapeutic Advances in Chronic Disease. 2014;5: 164–177. pmid:24982751
  35. 35. Kolakowska A, Maresca AF, Collins IJ, Cailhol J. Update on Adverse Effects of HIV Integrase Inhibitors. Curr Treat Options Infect Dis. 2019;11: 372–387. pmid:33380904
  36. 36. Perna A, Carleo MA, Mascolo S, Guida A, Contieri M, Sellitto C, et al. Adipocyte differentiation of 3T3-L1 cells under tenofovir alafenamide, tenofovir disoproxil fumarate, and integrase strand transfer inhibitors selective challenge: an in-vitro model. AIDS. 2023;37: 561. pmid:36504092
  37. 37. Ray S, Narayanan A, Giske CG, Neogi U, Sönnerborg A, Nowak P. Altered Gut Microbiome under Antiretroviral Therapy: Impact of Efavirenz and Zidovudine. ACS Infect Dis. 2020;7: 1104–1115. pmid:33346662
  38. 38. Bailin SS, Gabriel CL, Wanjalla CN, Koethe JR. OBESITY AND WEIGHT GAIN IN PERSONS WITH HIV. Curr HIV/AIDS Rep. 2020;17: 138–150. pmid:32072466
  39. 39. Bourgi K, Rebeiro PF, Turner M, Castilho JL, Hulgan T, Raffanti SP, et al. Greater Weight Gain in Treatment-naive Persons Starting Dolutegravir-based Antiretroviral Therapy. Clinical Infectious Diseases. 2020;70: 1267–1274. pmid:31100116
  40. 40. Fong PS, Flynn DM, Evans CD, Korthuis PT. Integrase strand transfer inhibitor-associated diabetes mellitus: A case report. Int J STD AIDS. 2017;28: 626–628. pmid:27733708
  41. 41. Nolan NS, Adamson S, Reeds D, O’Halloran JA. Bictegravir-Based Antiretroviral Therapy-Associated Accelerated Hyperglycemia and Diabetes Mellitus. Open Forum Infectious Diseases. 2021;8: ofab077. pmid:33981777
  42. 42. Bedimo R. Growth hormone and tesamorelin in the management of HIV-associated lipodystrophy. HIV/AIDS—Research and Palliative Care. 2011;3: 69–79. pmid:22096409
  43. 43. Falutz J, Allas S, Mamputu J-C, Potvin D, Kotler D, Somero M, et al. Long-term safety and effects of tesamorelin, a growth hormone-releasing factor analogue, in HIV patients with abdominal fat accumulation. AIDS. 2008;22: 1719. pmid:18690162
  44. 44. Recinella L, Chiavaroli A, Orlando G, Ferrante C, Marconi GD, Gesmundo I, et al. Antinflammatory, antioxidant, and behavioral effects induced by administration of growth hormone-releasing hormone analogs in mice. Sci Rep. 2020;10: 732. pmid:31959947
  45. 45. Louzada RA, Blandino-Rosano M, Flores S, Lubaczeuski C, Cui T, Sha W, et al. GHRH agonist MR-409 protects β-cells from streptozotocin-induced diabetes. Proceedings of the National Academy of Sciences. 2023;120: e2209810120. pmid:37307472
  46. 46. Quercia R, Roberts J, Martin-Carpenter L, Zala C. Comparative changes of lipid levels in treatment-naive, HIV-1-infected adults treated with dolutegravir vs. efavirenz, raltegravir, and ritonavir-boosted darunavir-based regimens over 48 weeks. Clinical drug investigation. 2015;35: 211–219. pmid:25637061
  47. 47. Sax PE, Erlandson KM, Lake JE, Mccomsey GA, Orkin C, Esser S, et al. Weight Gain Following Initiation of Antiretroviral Therapy: Risk Factors in Randomized Comparative Clinical Trials. Clinical Infectious Diseases. 2020;71: 1379–1389. pmid:31606734
  48. 48. Rietschel P, Hadigan C, Corcoran C, Stanley T, Neubauer G, Gertner J, et al. Assessment of Growth Hormone Dynamics in Human Immunodeficiency Virus-Related Lipodystrophy1. The Journal of Clinical Endocrinology & Metabolism. 2001;86: 504–510. pmid:11158000
  49. 49. Grinspoon S. Physiologic effects of GHRH in patients with HIV lipodystrophy: a model of acquired visceral adiposity. Nature Clinical Practice Endocrinology & Metabolism. 2006;2: 355–355. pmid:16932313
  50. 50. Generali JA, Cada DJ. Recombinant Human Growth Hormone: HIV-Related Lipodystrophy. Hosp Pharm. 2014;49: 432–434. pmid:24958953
  51. 51. Audsley J, Sasadeusz J, Lewin SR. Tesamorelin, liver fat, and NAFLD in the setting of HIV. The Lancet HIV. 2019;6: e808–e809. pmid:31611037