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The effect of Glucomannan on fasting and postprandial blood glucose in adults: a systematic review and meta-analysis of randomized controlled trials

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Abstract

Objective

Glucomannan is a dietary fiber that slows the absorption of carbohydrates and suppresses appetite, thereby reducing blood glucose. This meta-analysis sought to examine the effect of glucomannan supplementation on Fasting Blood Glucose (FBG) and Postprandial Glucose (PPG) in adults.

Method

We searched PubMed, and SCOPUS databases, and Google Scholar from inception to May 2020, using relevant keywords. All randomized controlled clinical trials (RCTs) that examined the effect of glucomannan supplementation on FBG and PPG in adults were included. Weighted mean differences (WMD) and their 95% confidence interval (CI) were calculated using Stata. Subgroup analysis was used to discern possible sources of heterogeneity.

Results

Overall, 6 trials were included, consisting of 124 participants. We found that glucomannan supplementation significantly reduced FBG (WMD): -0.60 mmol/L, 95% CI: -1.16, -0.05; P=0.03, but not PPG (WMD: -2.07mmol/L ; 95% CI: -5.09, 0.95; P=0.18), compared with controls group. We conducted subgroup analysis based on dosage and duration of intervention and health status of the population. Findings from subgroup analysis revealed a significant effect of glucomannan supplementation on FBG in diabetic patients (WMD: -1.28 mmol/L, 95% CI: -2.54, -0.02; P=0.04).

Conclusion

Glucomannan supplementation can elicit significant reductions in FBG, but has no significant impact on PPG, in adults. More RCTs may find the exact effect of glucomannan on FBG and PPG.

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Data availability

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Abbreviations

CI:

Confidence Intervals

DM:

Diabetes mellitus

FBG:

Fasting Blood Glucose

IDF:

International Diabetes Federation

IR:

Insulin Resistance

KGM:

konjac Glucomannan

KM:

Konjac-Mannan

LDL-C:

Low-Density Lipoprotein Cholesterol

LEA:

Lower-Extremity Amputations

MeSH:

Medical Subject Headings

MNT:

Medical Nutrition Therapy

PPG:

Postprandial Glucose

PRISMA-P:

Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols

RCTs:

Randomized Controlled Trials

SEM:

Standard Error of the Mean

TC:

Total Cholesterol

T2DM:

Type 2 Diabetes Mellitus

WMD:

Weighted Mean Differences

References

  1. Hassanein M, Amod A, Khunti K, Lee MK, Mohan V. Introduction: Real-world evidence in type 2 diabetes. Diabetes Ther. 2020;11(2):29–32.

    Article  Google Scholar 

  2. Zahed K, Sasangohar F, Mehta R, Erraguntla M, Qaraqe K: Diabetes management experience and the state of hypoglycemia: A national online survey. J MIR Diabetes 2020.

  3. Khazrai YM, Defeudis G, Pozzilli P. Effect of diet on type 2 diabetes mellitus: a review. Diabetes Metab Res Rev. 2014;30(Suppl 1):24–33.

    Article  CAS  Google Scholar 

  4. Kaura Parbhakar K, Rosella LC, Singhal S, Quinonez CR. Acute and chronic diabetes complications associated with self-reported oral health: a retrospective cohort study. BMC Oral Health. 2020;20:66.

    Article  Google Scholar 

  5. Ly F, Dan W, Wei C, Wu A. Vascular cognitive impairment and dementia in type 2 diabetes mellitus: An overview. Life Sci. 2020;254:117771.

    Article  Google Scholar 

  6. Moscovici K, Wainstock T, Sheiner E, Pariente G. The association between family history of diabetes mellitus and offspring long-term neurological hospitalisation. Acta Paediatr. 2020;109:1236–42.

    Article  Google Scholar 

  7. Bitton S, Wainstock T, Sheiner E, Landau D, Avigan L, Pariente G. Is there an association between family history of diabetes mellitus and long-term cardiovascular hospitalizations of offspring? Prim Care Diabetes. 2019;13:529–34.

    Article  Google Scholar 

  8. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27:1047–53.

    Article  Google Scholar 

  9. Hossain P, Kawar B, El Nahas M. Obesity and diabetes in the developing world--a growing challenge. N Engl J Med. 2007;356:213–5.

    Article  CAS  Google Scholar 

  10. Irene R. Diabetes Mellitus and Stroke - A cross Sectional Study of 2.5 Million Adults in the United States. Maedica (Buchar). 2020;15:24–31.

    Google Scholar 

  11. Hackett RA, Steptoe A. Type 2 diabetes mellitus and psychological stress - a modifiable risk factor. Nat Rev Endocrinol. 2017;13:547–60.

    Article  Google Scholar 

  12. Zheng Y, Ley SH, Hu FB. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat Rev Endocrinol. 2018;14:88–98.

    Article  Google Scholar 

  13. Harding JL, Pavkov ME, Magliano DJ, Shaw JE, Gregg EW. Global trends in diabetes complications: a review of current evidence. Diabetologia. 2019;62:3–16.

    Article  Google Scholar 

  14. Simpson TC, Weldon JC, Worthington HV, Needleman I, Wild SH, Moles DR, Stevenson B, Furness S, Iheozor-Ejiofor Z: Treatment of periodontal disease for glycaemic control in people with diabetes mellitus. Cochrane Database Syst Rev 2015:Cd004714.

  15. Birkeland E, Gharagozlian S, Birkeland KI, Valeur J, Mage I, Rud I, Aas AM. Prebiotic effect of inulin-type fructans on faecal microbiota and short-chain fatty acids in type 2 diabetes: a randomised controlled trial. Eur J Nutr. 2020;59(7):3325–38.

    Article  CAS  Google Scholar 

  16. 5. Lifestyle Management. Standards of Medical Care in Diabetes-2019. Diabetes Care. 2019;42:S46–s60.

    Article  Google Scholar 

  17. Suwannaporn P, Tester RF, Al-Ghazzewi FH, Artitdit P. Effect of short term administration of konjac glucomannan hydrolysates on adult blood lipid parameters and glucose concentrations. Nutr Food Sci. 2015;45(4):616–24.

    Article  Google Scholar 

  18. Chearskul S, Sangurai S, Nitiyanant W, Kriengsinyos W, Kooptiwut S, Harindhanavudhi T. Glycemic and lipid responses to glucomannan in Thais with type 2 diabetes mellitus. Med J Med Assoc Thailand. 2007;90:2150.

    Google Scholar 

  19. Martino F, Martino E, Morrone F, Carnevali E, Forcone R, Niglio T. Effect of dietary supplementation with glucomannan on plasma total cholesterol and low density lipoprotein cholesterol in hypercholesterolemic children. Nutr Metab Cardiovasc Dis. 2005;15:174–80.

    Article  Google Scholar 

  20. Yoshida M, Vanstone CA, Parsons WD, Zawistowski J, Jones PJ. Effect of plant sterols and glucomannan on lipids in individuals with and without type II diabetes. Eur J Clin Nutr. 2006;60:529–37.

    Article  CAS  Google Scholar 

  21. Chen HL, Sheu WH, Tai TS, Liaw YP, Chen YC. Konjac supplement alleviated hypercholesterolemia and hyperglycemia in type 2 diabetic subjects--a randomized double-blind trial. J Am Coll Nutr. 2003;22:36–42.

    Article  CAS  Google Scholar 

  22. Birketvedt GS, Shimshi M, Erling T, Florholmen J. Experiences with three different fiber supplements in weight reduction. Med Sci Monit. 2005;11:Pi5–8.

    PubMed  Google Scholar 

  23. Vuksan V, Sievenpiper JL, Owen R, Swilley JA, Spadafora P, Jenkins DJ, Vidgen E, Brighenti F, Josse RG, Leiter LA, et al. Beneficial effects of viscous dietary fiber from Konjac-mannan in subjects with the insulin resistance syndrome: results of a controlled metabolic trial. Diabetes Care. 2000;23:9–14.

    Article  CAS  Google Scholar 

  24. Jenkins DJ, Jenkins AL, Wolever TM, Vuksan V, Rao AV, Thompson LU, Josse RG. Low glycemic index: lente carbohydrates and physiological effects of altered food frequency. Am J Clin Nutr. 1994;59:706s–9s.

    Article  CAS  Google Scholar 

  25. Vuksan V, Jenkins DJ, Spadafora P, Sievenpiper JL, Owen R, Vidgen E, Brighenti F, Josse R, Leiter LA, Bruce-Thompson C. Konjac-mannan (glucomannan) improves glycemia and other associated risk factors for coronary heart disease in type 2 diabetes. A randomized controlled metabolic trial. Diabetes Care. 1999;22:913–9.

    Article  CAS  Google Scholar 

  26. Sood N, Baker WL, Coleman CI. Effect of glucomannan on plasma lipid and glucose concentrations, body weight, and blood pressure: systematic review and meta-analysis. Am J Clin Nutr. 2008;88:1167–75.

    Article  CAS  Google Scholar 

  27. Silva FM, Kramer CK, de Almeida JC, Steemburgo T, Gross JL, Azevedo MJ. Fiber intake and glycemic control in patients with type 2 diabetes mellitus: a systematic review with meta-analysis of randomized controlled trials. Nutr Rev. 2013;71:790–801.

    Article  Google Scholar 

  28. Devaraj RD, Reddy CK, Xu B. Health-promoting effects of konjac glucomannan and its practical applications: A critical review. Int J Biol Macromol. 2019;126:273–81.

    Article  CAS  Google Scholar 

  29. Wood RJ, Fernandez ML, Sharman MJ, Silvestre R, Greene CM, Zern TL, Shrestha S, Judelson DA, Gomez AL, Kraemer WJ. Effects of a carbohydrate-restricted diet with and without supplemental soluble fiber on plasma low-density lipoprotein cholesterol and other clinical markers of cardiovascular risk. Metabolism. 2007;56:58–67.

    Article  CAS  Google Scholar 

  30. Keithley JK, Swanson B, Mikolaitis SL, DeMeo M, Zeller JM, Fogg L, Adamji J. Safety and efficacy of glucomannan for weight loss in overweight and moderately obese adults. J Obes. 2013;2013:610908.

    Article  Google Scholar 

  31. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, Shekelle P, Stewart LA. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.

    Article  Google Scholar 

  32. DerSimonian R, Kacker R. Random-effects model for meta-analysis of clinical trials: an update. Contemp Clin Trials. 2007;28:105–14.

    Article  Google Scholar 

  33. Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol. 2014;14:135.

    Article  Google Scholar 

  34. Zhang L, Han Y, Zhao Z, Liu X, Xu Y, Cui G, Zhang X, Zhang R. Beneficial effects of konjac powder on lipid profile in schizophrenia with dyslipidemia: A randomized controlled trial. Asia Pac J Clin Nutr. 2020;29:505–12.

    CAS  PubMed  Google Scholar 

  35. Morgan L, Tredger J, Wright J, Marks V. The effect of soluble-and insoluble-fibre supplementation on post-prandial glucose tolerance, insulin and gastric inhibitory polypeptide secretion in healthy subjects. Br J Nutr. 1990;64:103–10.

    Article  CAS  Google Scholar 

  36. Chen H, Nie Q, Hu J, Huang X, Zhang K, Pan S, Nie S. Hypoglycemic and hypolipidemic effects of glucomannan extracted from konjac on type 2 diabetic rats. J Agric Food Chem. 2019;67:5278–88.

    Article  CAS  Google Scholar 

  37. Boers HM, MacAulay K, Murray P, Ten Hoorn JS, Hoogenraad A-R, Peters HP, Vente-Spreeuwenberg MA, Mela DJ. Efficacy of different fibres and flour mixes in South-Asian flatbreads for reducing post-prandial glucose responses in healthy adults. Eur J Nutr. 2017;56:2049–60.

    Article  CAS  Google Scholar 

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Funding

This study was supported by the Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS). The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

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Authors

Contributions

AM and RZ contributed to the study concept and design; MRA and RZ designed search strategy and screened Papers; SM performed statistical analysis; AM, RZ, NR, SP and FA wrote the first draft of the manuscript; KhM was supervisor of the article; all authors read and approved the final manuscript.

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Correspondence to Khadijeh Mirzaei.

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There is no competing interest in this study.

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Mirzababaei, A., Zandkarimi, R., Moradi, S. et al. The effect of Glucomannan on fasting and postprandial blood glucose in adults: a systematic review and meta-analysis of randomized controlled trials. J Diabetes Metab Disord 21, 1055–1063 (2022). https://doi.org/10.1007/s40200-022-00993-6

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