Skip to main content

ORIGINAL RESEARCH article

Front. Med., 07 February 2022
Sec. Geriatric Medicine
Volume 9 - 2022 | https://doi.org/10.3389/fmed.2022.817578

Xanthine Oxidoreductase Inhibitor Use Associated With Reduced Risk of Sarcopenia and Severe Sarcopenia in Patients Undergoing Hemodialysis

Masafumi Kurajoh1* Katsuhito Mori2 Mizuki Miyabe1,3 Shota Matsufuji4 Akane Kizu3 Yoshihiro Tsujimoto3 Masanori Emoto1,2
  • 1Department of Metabolism, Endocrinology, and Molecular Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
  • 2Department of Nephrology, Osaka City University Graduate School of Medicine, Osaka, Japan
  • 3Division of Internal Medicine, Dialysis Center, Inoue Hospital, Osaka, Japan
  • 4Division of Rehabilitation, Inoue Hospital, Osaka, Japan

Background: Xanthine oxidoreductase (XOR) inhibition reduces reactive oxygen species (ROS) production and enhances adenosine triphosphate (ATP) synthesis. We investigated the protective effects of XOR inhibitor treatment on sarcopenia, frequently observed in patients undergoing hemodialysis (HD), in which increased ROS and ATP shortage are known to be involved.

Methods: This retrospective cross-sectional study included 296 HD patient (203 males, 93 females). Muscle mass, physical performance, and muscle strength were assessed using dual-energy X-ray absorptiometry, five-time chair stand testing, and handgrip strength, respectively. The Asian Working Group for Sarcopenia 2019 criteria were used to define low muscle mass, low physical performance, and low muscle strength, as well as sarcopenia and severe sarcopenia.

Results: Sarcopenia and severe sarcopenia prevalence rates were 42.2 and 20.9%, respectively. XOR inhibitor users (n = 119) showed a significantly (p < 0.05) lower prevalence of sarcopenia and severe sarcopenia, as well as reduced muscle mass, physical performance, and muscle strength than non-users (n = 177). Multivariate logistic regression analyses also revealed XOR inhibitor use to be significantly associated with low muscle mass [odds ratio (OR), 0.384; 95% confidence interval (CI), 0.183–0.806; p = 0.011] and low physical performance (OR, 0.286; 95% CI, 0.142–0.578; p < 0.001), while significance with low muscle strength was borderline. Furthermore, XOR inhibitor use was significantly associated with sarcopenia (OR, 0.462; 95% CI, 0.226–0.947; p = 0.035) and severe sarcopenia (OR, 0.236; 95% CI, 0.091–0.614; p = 0.003).

Conclusions: XOR inhibitor use was significantly associated with reduced risk of sarcopenia/severe sarcopenia in HD patients, suggesting that XOR inhibitor treatment has protective effects on sarcopenia in HD patients.

Introduction

Sarcopenia is characterized as a decline in skeletal muscle mass and function (1), and frequently observed in patients undergoing hemodialysis (HD) (2, 3), which is termed uremic sarcopenia. Furthermore, HD patients have increased mortality (46), which has been shown to occur a higher rate in those with as compared to without sarcopenia (3, 7), thus emphasizing the need for prevention and treatment of this conditions in patients undergoing that therapy.

Xanthine oxidoreductase (XOR) is an enzyme that generates reactive oxygen species (ROS), and also catalyzes oxidation from hypoxanthine to xanthine and then xanthine to uric acid in the purine degradation pathway (8). Thus, inhibition of XOR reduces ROS production, while it also enhances adenosine triphosphate (ATP) synthesis along with an increase in the purine salvage pathway by use of hypoxanthine (912). Since increased ROS and ATP shortage in skeletal muscle are known to be involved in sarcopenia, especially uremic sarcopenia cases (1315), we speculated that XOR inhibitor treatment has effects to protect against sarcopenia through preservation of skeletal muscle mass and function by decreased ROS production and ATP enhancement in HD patient skeletal muscle tissues.

However, to the best of our knowledge, no report showing the effects of XOR inhibitor treatment on sarcopenia has been presented. To evaluate possible protective effects on sarcopenia, the present study was conducted to examine the association of XOR inhibitor use with sarcopenia in HD patients based on the Asian Working Group for Sarcopenia (AWGS) 2019 criteria (16).

Materials and Methods

Study Design

This was a retrospective cross-sectional observational study conducted at Inoue Hospital (Osaka, Japan), where HD treatment was generally performed three times per week for about 4 h each time. As part of routine clinical care at that institution, muscle mass, physical performance, and muscle strength in HD patients are generally measured at the start of the first HD session that occurs during the week of their birthday. The association of XOR inhibitor use with sarcopenia and its components was investigated.

Study Participants

The study participants were enrolled based on the following criteria. Inclusion criteria: (1) patient undergoing HD, and (2) measurements of muscle mass, physical performance, and muscle strength performed between January 2018 and December 2018, and (3) age ≥20 years. Exclusion criteria: (1) HD therapy period <6 months, (2) presence of debilitating disease, such as liver cirrhosis, malignancy, infection, or acute illness, and (3) treated with corticosteroids.

The need/requirement for informed consent was waived by The Inoue Hospital Ethics Committee (approval no. 236) owing to the retrospective nature of the investigation. Following approval of the study protocol, all data subjected to analysis were collected from relevant patient medical records. This study was conducted in full accordance with the Declaration of Helsinki.

XOR Inhibitor User

An XOR inhibitor user was defined as a patient treated with allopurinol, febuxostat, or topiroxostat, each of which have been approved for therapeutic use as an XOR inhibitor in Japan.

Determination of Muscle Mass

Muscle mass was assessed using whole body dual-energy X-ray absorptiometry (Horizon A; Hologic, Massachusetts, USA) (17). Extremity fat-free mass minus bone mineral contents was considered to be appendicular skeletal muscle, and height-adjusted muscle mass was calculated as appendicular skeletal muscle divided by height in meters squared (kg/m2) (3). Low muscle mass was defined as height-adjusted muscle mass <7.0 kg/m2 for males and <5.4 kg/m2 for females (16).

Measurement of Physical Performance

Physical performance was assessed using a five-time chair stand test. Patients were asked to stand and sit as fast as possible five times from a sitting position on a chair with a seat 40 cm high and straight back without arm rests, with their arms crossed on the chest and hands on their shoulders, as previously reported in the CHAIR [change hemodialysis patients' activity and impaired functions by chair stand exercise] study (18). They initiated performance of the test when an experienced research staff member spoke the word “start” and the time (seconds) until the end of the fifth repetition was recorded (19, 20). Low physical performance was defined as a test time ≥12 s (16).

Measurement of Muscle Strength

Muscle strength was assessed by determining handgrip strength using a Smedley type hand dynamometer (T.K.K.5101; Takei, Niigata, Japan), performed by an experienced research staff member (21, 22). Patients were instructed to hold the grip in an upright position with maximum force and with their arm extended. Measurements were repeated two times with each hand and the highest value (kg) was recorded. Low muscle strength was defined as handgrip strength <28 kg for males and <18 kg for females (16).

Diagnosis of Sarcopenia and Severe Sarcopenia

The AWGS 2019 criteria were used for diagnosis of sarcopenia and severe sarcopenia (16). Briefly, sarcopenia was defined as low muscle mass, plus low physical performance or low muscle strength, while severe sarcopenia was defined as low muscle mass, plus low physical performance, and low muscle strength.

Other Variables

Information regarding medication that may affect sarcopenia, including insulin, growth or sex hormones, and angiotensin converting enzyme (ACE) inhibitor/angiotensin II receptor blocker (ARB), as well as vitamin D use was obtained. The diagnosis of diabetes mellitus was based on a history of diabetes mellitus or the American Diabetes Association criteria (23). Past history of cerebrovascular disease was defined as prior occurrence of ischemic stroke, transient ischemic attack, intracerebral hemorrhage, and/or subarachnoid hemorrhage. Blood samples were collected from each patient before the start of the first HD session of the week, with standard laboratory parameters including serum albumin, C-reactive protein (CRP), and uric acid levels analyzed using a routine laboratory method at the hospital (24).

Statistical Analysis

To compare variables between groups, Mann–Whitney's U-test (continuous variables) and a chi-squared test (categorical variables) were used. Serum CRP level was logarithmically transformed (log) to follow a normal distribution, before submitting to multivariate logistic regression analysis. Multivariate logistic regression analyses were performed to determine whether XOR inhibitor administration was independently associated with the presence of sarcopenia or severe sarcopenia in addition to that of low muscle mass, low physical performance, or low muscle strength, following adjustments based on various factors, including age, gender, degree of obesity, duration of hemodialysis, cerebrovascular disease, diabetes mellitus, vitamin D, nutritional status, inflammation, and uric acid, each of which are known to be associated with sarcopenia in HD patients (3, 7, 13, 2528). The consistency of the associations between XOR inhibitor administration and presence of sarcopenia or severe sarcopenia was also examined in relationship to age (≤ />68 years), gender, body mass index (BMI) (≤ />22.6 kg/m2), duration of hemodialysis (≤ />6.5 years), cerebrovascular disease (presence/absence), diabetes mellitus (presence/absence), use of oral and/or intravenous vitamin D (presence/absence), serum albumin (≤ />3.6 g/dL), CRP (≤ />0.1 mg/dL), uric acid level (≤ />6.8 mg/dL), diabetic nephropathy (presence/absence), and chronic glomerulonephritis (presence/absence). All statistical analyses were performed using the Statistical Package for the Social Sciences software (PASW Statistics, version 22.0). All reported p-values are two-tailed and were considered to be statistically significant at < 0.05.

Results

Study Population

Of 305 HD patients 20 years or older who underwent measurements of muscle mass, physical performance, and muscle strength during the study period, those who had been receiving HD therapy for <6 months were excluded (n = 3). Furthermore, those with liver cirrhosis, malignancy, infection, or acute illness were also excluded from analysis (n = 6). None of the patients were receiving corticosteroid treatment. As a result, 296 HD patients (203 males, 93 females) were retrospectively analyzed. The cause of renal failure was diabetic nephropathy in 87 (29.4%), chronic glomerulonephritis in 80 (27.0%), nephrosclerosis in 25 (8.4%), polycystic kidney disease in 19 (6.4%), graft loss in 16 (5.4%), congenital anomaly in the kidneys or urinary tract in 4 (1.4%), unclassifiable nephritis in 4 (1.4%), kidney or urinary tract tumor in 3 (1.0%), malignant hypertension in 3 (1.0%), pregnancy-induced hypertension in 3 (1.0%), autoimmune nephritis in 1 (0.3%), chronic pyelonephritis in 1 (0.3%), kidney disease-related gout in 1 (0.3%), urinary tract obstruction in 1 (0.3%), other disease in 4 (1.4%), and unknown etiology in 44 (14.9%).

Clinical Characteristics of Subjects, and Comparisons Between XOR Inhibitor Users and Non-users

Subject characteristics (n = 296) are shown in Table 1. The prevalence of sarcopenia and severe sarcopenia in the entire cohort were 42.2% (n = 125) and 20.9% (n = 62), respectively. Among XOR inhibitor users (n = 119; allopurinol: 58, febuxostat, 61), height-adjusted muscle mass and handgrip strength were significantly (p < 0.01) higher, and the five-time chair stand test time was significantly lower as compared to the non-users (n = 177; Table 1). In addition, the prevalence of low muscle mass (47.1 vs. 65.0%), low physical performance (25.2 vs. 44.1%), and low muscle strength (47.1 vs. 64.4%) was significantly (p < 0.01) lower in XOR inhibitor users than in non-users. Finally, the prevalence rates for sarcopenia (33.6 vs. 48.0%) and severe sarcopenia (12.6 vs. 26.6%) were significantly (p < 0.05) reduced in the XOR inhibitor users.

TABLE 1
www.frontiersin.org

Table 1. Clinical characteristics of subjects (n = 296), and comparisons between XOR inhibitor users and non-users.

Associations of XOR Inhibitor Use With Low Muscle Mass, Low Physical Performance, and Low Muscle Strength

To examine whether use of an XOR inhibitor is independently associated with low muscle mass, low physical performance, and/or low muscle strength, multivariate logistic regression analyses were performed (Table 2). XOR inhibitor use was shown to be significantly associated with low muscle mass [odds ratio (OR), 0.384; 95% confidence interval (CI), 0.183–0.806; p = 0.011] and low physical performance (OR, 0.286; 95% CI, 0.142–0.578; p < 0.001), while a borderline significance with low muscle strength was also noted (OR, 0.500; 95% CI, 0.248–1.006; p = 0.052). Additionally, serum uric acid level demonstrated a significant association with low physical performance (OR, 0.710; 95% CI, 0.560–0.899; p = 0.005). Furthermore, gender, BMI, and log CRP were significantly associated with low muscle mass, while age, cerebrovascular disease, use of vitamin D, and log CRP were significantly associated with low physical performance, and age, duration of hemodialysis, cerebrovascular disease, and diabetes mellitus were significantly associated with low muscle strength. On the other hand, serum albumin level was not significantly associated with low muscle mass, low physical performance, or low muscle strength (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Multivariate logistic regression analysis of possible factors associated with low muscle mass, low physical performance, and low muscle strength.

Associations of XOR Inhibitor Use With Sarcopenia and Severe Sarcopenia

To further examine whether XOR inhibitor use is independently associated with sarcopenia or severe sarcopenia, multivariate logistic regression analyses were again performed (Table 3). These results showed that use of an XOR inhibitor was significantly associated with sarcopenia (OR, 0.462; 95% CI, 0.226–0.947; p = 0.035) and severe sarcopenia (OR, 0.236; 95% CI, 0.091–0.614; p = 0.003). Notably, there was no remarkable inconsistency observed among the results for the series of subgroups (Figures 1A,B). Age, gender, BMI, and history of cerebrovascular diseases were significantly associated with both sarcopenia and severe sarcopenia, while serum uric acid as well as CRP level were significantly associated with severe sarcopenia (OR, 0.715; 95% CI, 0.524–0.977; p = 0.035; Table 3). In contrast, serum albumin level, duration of hemodialysis, diabetes mellitus, and vitamin D use were not significantly associated with sarcopenia or severe sarcopenia (Table 3). When presence of XOR inhibitor was replaced by type and presence of XOR inhibitor, use of allopurinol and febuxostat (ref. absence of XOR inhibitor) was similarly associated with sarcopenia (OR 0.435, 95% CI 0.185–1.027, p = 0.058; OR 0.509, 95% CI 0.182–1.425, p = 0.198, respectively) and severe sarcopenia (OR 0.298, 95% CI 0.099–0.892, p = 0.030; OR 0.163, 95% CI 0.042–0.634, p = 0.009, respectively), suggesting that differences among types of XOR inhibitors have little effect on sarcopenia/severe sarcopenia. When use of insulin or ACE inhibitors/ARBs was added to the multivariate logistic regression model, use of XOR inhibitors remained significantly associated with sarcopenia (OR 0.467, 95% CI 0.228–0.957, p = 0.038; OR 0.463, 95% CI 0.226–0.948, p = 0.035, respectively) and severe sarcopenia (OR 0.238, 95% CI 0.091–0.620, p = 0.003; OR, 0.236, 95% CI 0.091–0.614, p = 0.003, respectively).

TABLE 3
www.frontiersin.org

Table 3. Multivariate logistic regression analysis of possible factors associated with sarcopenia and severe sarcopenia.

FIGURE 1
www.frontiersin.org

Figure 1. Subgroup analysis of association of XOR inhibitor use with sarcopenia (A) and severe sarcopenia (B). Forrest plots showing OR (95% CI) in squares and lines for each category are presented. The 95% CI values shown were calculated within each category and p-values for subgroup analyses represent tests for interaction. The higher and lower groups were defined as greater and less than or equal to the median, respectively. BMI, body mass index; CRP, C-reactive protein; XOR, xanthine oxidoreductase; OR, odds ratio; CI, confidence interval.

Discussion

In this first known study to investigate the association of XOR inhibitor treatment with sarcopenia in HD patients, the following primary findings were obtained. First, the rates of prevalence of sarcopenia and severe sarcopenia, determined based on the AWGS 2019 criteria, were 42.2 and 20.9%, respectively (Table 1). Furthermore, XOR inhibitor use was shown to be significantly associated with reduced risk of low muscle mass and low physical performance, while a borderline significance with low muscle strength was also found (Table 2). Finally, XOR inhibitor use was significantly associated with reduced risk of both sarcopenia and severe sarcopenia (Table 3). Together, the present results suggest that treatment with an XOR inhibitor exerts protective effects to reduce the risk of sarcopenia and severe sarcopenia, which are frequently observed in HD patients.

A diagnostic algorithm for sarcopenia has been proposed by several different western groups, including the Foundation for the National Institutes of Health Sarcopenia Project (29), European Working Group on Sarcopenia in Older People (30, 31), and International working group on sarcopenia (32). However, because of anthropometric as well as cultural and/or lifestyle-related differences in Asia as compared with Western populations, the AWGS proposed a diagnostic algorithm for sarcopenia based on Asian data in 2014 (33), which was updated in 2019 (16). Previous studies including ours have reported the prevalence of sarcopenia in HD patients based on the AWGS 2014 criteria as ranging from 33.7 to 40% (2, 3), though no studies reporting that prevalence in HD patients based on the AWGS 2019 criteria have been presented prior to the present report (Table 1).

Previous clinical studies that examined Tour de France cyclists and professional soccer players have found that administration of an XOR inhibitor protects against skeletal muscle damage caused by exhaustive exercise (34, 35). Furthermore, other studies have noted that XOR inhibitor administration protects against skeletal muscle atrophy caused by immobilization following an ankle sprain in male subjects (36) and improved functional outcomes after rehabilitation in older patients (37), suggesting that XOR inhibitor administration contributes to protect against sarcopenia. However, to the best of our knowledge, no investigation of the association of XOR inhibitor treatment with sarcopenia has been presented. The present results are the first to demonstrate associations of XOR inhibitor use with reduced levels of sarcopenia and severe sarcopenia (Table 3), as well as its protection against low levels of muscle mass, physical performance, and muscle strength (Table 2).

Although it remains unclear why XOR inhibitor use has been found to be associated with those factors, decreased ROS production could be a potential reason. XOR is involved in production of ROS and uric acid, and expressed in the vascular endothelium of skeletal muscle (38), as well as in the liver and intestines (39, 40). Previous studies have shown that administration of an XOR inhibitor protected against skeletal muscle atrophy caused by unloading in mice and rats by inhibiting activation of the ubiquitin-proteasome pathway via decreased ROS production in skeletal muscle (36, 41). In addition, XOR inhibitor administration was reported to increase maximal isometric force in aged mice by decreasing ROS production in skeletal muscle (42). Therefore, treatment with an XOR inhibitor may contribute to preservation of skeletal muscle mass and improvement of skeletal muscle function by reducing ROS production in skeletal muscle. On the other hand, increased uric acid level was found to be significantly associated with a reduced risk of low physical performance (Table 2) and severe sarcopenia (Table 3). Uric acid has been shown to gain antioxidant properties by scavenging ROS in a hydrophilic condition, such as by circulating in blood (43), and when present in the circulation is thought to have a protective effect against sarcopenia (4446). Since renal excretion of uric acid is reduced in HD patients, administration of an XOR inhibitor may exert a protective effect against sarcopenia by increasing the level of uric acid level relative to XOR activity in circulating blood.

Another possibility that can potentially explain the protective effects of XOR inhibitor treatment is its effect to conserve the intracellular level of ATP, thus providing energy necessary for muscle contractions (47). In skeletal muscle, ATP production has shown to be decreased under a uremic condition (48) and ATP levels have been shown to be significantly lower in uremic patients as compared to control subjects (15, 49). Of importance, administration of an XOR inhibitor enhances the intracellular ATP level by increasing the purine salvage pathway through use of hypoxanthine and decreasing energy expenditure by reducing de novo purine synthesis (912). Taken together, these findings indicate that XOR inhibitor treatment might exert protective effects on sarcopenia in HD patients through preservation of skeletal muscle mass and improvement of skeletal muscle function by ATP enhancement in skeletal muscle.

Previous studies have found associations of age, gender, degree of obesity, duration of hemodialysis, cerebrovascular disease, diabetes mellitus, vitamin D use, inflammation, and uric acid with sarcopenia or its components in HD patients (3, 7, 13, 2527). In the present investigation as well, age, gender, BMI, duration of hemodialysis, history of cerebrovascular disease, presence of diabetes mellitus, use of oral and/or intravenous vitamin D, CRP, and uric acid level were shown to be significantly associated with some or all of the factors low muscle mass, low physical performance, low muscle strength, sarcopenia, and severe sarcopenia. On the other hand, while nutritional status has also been reported to be associated with sarcopenia in HD patients (28), serum albumin level showed no significant association with low muscle mass, low physical performance, low muscle strength, sarcopenia, or severe sarcopenia in our study (Tables 2, 3). Although serum albumin level is considered to be an indicator of nutritional status, that level may not adequately reflect nutritional status in HD patients, since it did not show a significant association with sarcopenia or related components. In addition, nutritional intake has been reported to be associated with sarcopenia in older subjects (50), though unfortunately information regarding nutritional intake in the present subjects was not obtained. In future investigations of the relationship between XOR inhibitors and sarcopenia, it will be necessary to include accurate information regarding nutritional intake and status in the analysis.

This study has several limitations. First is the cross-sectional design, thus even though relationships were explored in predictive terms, the results cannot be interpreted to show causal relationships. Second, while physical activity has been shown to influence XOR activity (5153), no survey of physical activity was conducted in the present study. Furthermore, we were unable to fully investigate the association of dosage, duration, or indication of XOR inhibitor administration with sarcopenia. Third, because of the methods used, ROS, oxidative stress, and ATP levels in skeletal muscle and blood were not determined. Fourth, since muscle mass, physical performance, and muscle strength were examined as part of routine clinical care, patients unable to perform related tests due to reduced activities of daily living were not included in the present study. Fifth, there were few cases of severe sarcopenia, thus the 10 events per variable rule (54) could not be used when performing multivariate logistic regression for severe sarcopenia. A large-scale prospective interventional study that includes measurements of ROS, oxidative stress, and ATP levels in skeletal muscle and blood, as well as physical activity, and also includes analysis of dosage, duration, and XOR inhibitor indication in HD patients, including those with markedly reduced activities of daily living, is needed to clarify the role of XOR inhibitor treatment for prevention and treatment of sarcopenia in HD patients. Finally, the present study population consisted of nearly exclusively Japanese patients with HD, thus it is unclear whether the findings can generalized for other ethnic groups or non-HD subjects.

In conclusion, the present results showed that XOR inhibitor use in HD patients is significantly associated with reduced risk of sarcopenia and severe sarcopenia, as well as low muscle mass and low physical performance, based on the AWGS 2019 criteria.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to Masafumi Kurajoh, m1155129@med.osaka-cu.ac.jp.

Ethics Statement

The studies involving human participants were reviewed and approved by the Inoue Hospital Ethics Committee. The ethics committee waived the requirement of written informed consent for participation.

Author Contributions

MK contributed to study design, interpretation, and writing of the manuscript. KM, MM, SM, and AK contributed to study design and interpretation. YT contributed to study design, data analysis, and interpretation. ME reviewed the manuscript. All authors have read and approved the final version of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Rosenberg IH. Sarcopenia: origins and clinical relevance. J Nutr. (1997) 127(5 Suppl.):990S−1S. doi: 10.1093/jn/127.5.990S

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Kim JK, Choi SR, Choi MJ, Kim SG, Lee YK, Noh JW, et al. Prevalence of and factors associated with sarcopenia in elderly patients with end-stage renal disease. Clin Nutr. (2014) 33:64–8. doi: 10.1016/j.clnu.2013.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Mori K, Nishide K, Okuno S, Shoji T, Emoto M, Tsuda A, et al. Impact of diabetes on sarcopenia and mortality in patients undergoing hemodialysis. BMC Nephrol. (2019) 20:105. doi: 10.1186/s12882-019-1271-8

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Goodkin DA, Bragg-Gresham JL, Koenig KG, Wolfe RA, Akiba T, Andreucci VE, et al. Association of comorbid conditions and mortality in hemodialysis patients in Europe, Japan, and the United States: the Dialysis Outcomes and Practice Patterns Study (DOPPS). J Am Soc Nephrol. (2003) 14:3270–7. doi: 10.1097/01.ASN.0000100127.54107.57

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Inaba M, Karaboyas A, Akiba T, Akizawa T, Saito A, Fukuhara S, et al. Association of blood pressure with all-cause mortality and stroke in Japanese hemodialysis patients: the Japan Dialysis Outcomes and Practice Pattern Study. Hemodial Int. (2014) 18:607–15. doi: 10.1111/hdi.12156

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Yamada S, Yamamoto S, Fukuma S, Nakano T, Tsuruya K, Inaba M. Geriatric nutritional risk index (GNRI) and creatinine index equally predict the risk of mortality in hemodialysis patients: J-DOPPS. Sci Rep. (2020) 10:5756. doi: 10.1038/s41598-020-62720-6

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Ren H, Gong D, Jia F, Xu B, Liu Z. Sarcopenia in patients undergoing maintenance hemodialysis: incidence rate, risk factors and its effect on survival risk. Ren Fail. (2016) 38:364–71. doi: 10.3109/0886022X.2015.1132173

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Hille R, Nishino T. Flavoprotein structure and mechanism. 4. Xanthine oxidase and xanthine dehydrogenase. FASEB J. (1995) 9:995–1003. doi: 10.1096/fasebj.9.11.7649415

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Nomura J, Kobayashi T, So A, Busso N. Febuxostat, a xanthine oxidoreductase inhibitor, decreases NLRP3-dependent inflammation in macrophages by activating the purine salvage pathway and restoring cellular bioenergetics. Sci Rep. (2019) 9:17314. doi: 10.1038/s41598-019-53965-x

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Kato S, Kato M, Kusano T, Nishino T. New strategy that delays progression of amyotrophic lateral sclerosis in G1H-G93A transgenic mice: oral administration of xanthine oxidoreductase inhibitors that are not substrates for the purine salvage pathway. J Neuropathol Exp Neurol. (2016) 75:1124–44. doi: 10.1093/jnen/nlw088

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Johnson TA, Jinnah HA, Kamatani N. Shortage of cellular ATP as a cause of diseases and strategies to enhance ATP. Front Pharmacol. (2019) 10:98. doi: 10.3389/fphar.2019.00098

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Fujii K, Kubo A, Miyashita K, Sato M, Hagiwara A, Inoue H, et al. Xanthine oxidase inhibitor ameliorates postischemic renal injury in mice by promoting resynthesis of adenine nucleotides. JCI Insight. (2019) 4:e124816. doi: 10.1172/jci.insight.124816

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Fahal IH. Uraemic sarcopenia: aetiology and implications. Nephrol Dial Transplant. (2014) 29:1655–65. doi: 10.1093/ndt/gft070

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Takemura K, Nishi H, Inagi R. Mitochondrial dysfunction in kidney disease and uremic sarcopenia. Front Physiol. (2020) 11:565023. doi: 10.3389/fphys.2020.565023

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Del Canale S, Fiaccadori E, Ronda N, Soderlund K, Antonucci C, Guariglia A. Muscle energy metabolism in uremia. Metabolism. (1986) 35:981–3. doi: 10.1016/0026-0495(86)90032-6

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Chen LK, Woo J, Assantachai P, Auyeung TW, Chou MY, Iijima K, et al. Asian working group for sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. J Am Med Dir Assoc. (2020) 21:300–7e2. doi: 10.1016/j.jamda.2019.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Cheung YM, Roff G, Grossmann M. Precision of the Hologic Horizon A dual energy X-ray absorptiometry in the assessment of body composition. Obes Res Clin Pract. (2020) 14:514–8. doi: 10.1016/j.orcp.2020.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Matsufuji S, Shoji T, Yano Y, Tsujimoto Y, Kishimoto H, Tabata T, et al. Effect of chair stand exercise on activity of daily living: a randomized controlled trial in hemodialysis patients. J Ren Nutr. (2015) 25:17–24. doi: 10.1053/j.jrn.2014.06.010

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Ozden F, Coskun G, Bakirhan S. The test-retest reliability and concurrent validity of the five times sit to stand test and step test in older adults with total hip arthroplasty. Exp Gerontol. (2020) 142:111143. doi: 10.1016/j.exger.2020.111143

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Nishimura T, Arima K, Okabe T, Mizukami S, Tomita Y, Kanagae M, et al. Usefulness of chair stand time as a surrogate of gait speed in diagnosing sarcopenia. Geriatr Gerontol Int. (2017) 17:659–61. doi: 10.1111/ggi.12766

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Inaba M, Kurajoh M, Okuno S, Imanishi Y, Yamada S, Mori K, et al. Poor muscle quality rather than reduced lean body mass is responsible for the lower serum creatinine level in hemodialysis patients with diabetes mellitus. Clin Nephrol. (2010) 74:266–72. doi: 10.2379/CNX06500

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Kurajoh M, Inaba M, Motoyama K, Kuriyama N, Ozaki E, Koyama T, et al. Inverse association of plasma leptin with cortical thickness at distal radius determined with a quantitative ultrasound device in patients with type 2 diabetes mellitus. J Diabetes Invest. (2019) 11:174–83. doi: 10.1111/jdi.13071

PubMed Abstract | CrossRef Full Text | Google Scholar

23. American Diabetes A. Diagnosis and classification of diabetes mellitus. Diabetes Care. (2004) 27(Suppl. 1):S5–10. doi: 10.2337/diacare.27.2007.S5

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Miyabe M, Kurajoh M, Mori K, Okuno S, Okada S, Emoto M, et al. Superiority of glycated albumin over glycated haemoglobin as indicator of glycaemic control and predictor of all-cause mortality in patients with type 2 diabetes mellitus receiving peritoneal dialysis. Ann Clin Biochem. (2019) 56:684–91. doi: 10.1177/0004563219873688

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Yoowannakul S, Tangvoraphonkchai K, Vongsanim S, Mohamed A, Davenport A. Differences in the prevalence of sarcopenia in haemodialysis patients: the effects of gender and ethnicity. J Hum Nutr Diet. (2018) 31:689–96. doi: 10.1111/jhn.12555

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Kittiskulnam P, Carrero JJ, Chertow GM, Kaysen GA, Delgado C, Johansen KL. Sarcopenia among patients receiving hemodialysis: weighing the evidence. J Cachexia Sarcopenia Muscle. (2017) 8:57–68. doi: 10.1002/jcsm.12130

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Cha RH, Lee GS, Yoo JY, Rhee OB, Jeon YD. Hand grip and leg muscle strength in hemodialysis patients and its determinants. J Korean Med Sci. (2021) 36:e76. doi: 10.3346/jkms.2021.36.e76

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Bakkal H, Dizdar OS, Erdem S, Kulakoglu S, Akcakaya B, Katircilar Y, et al. The relationship between hand grip strength and nutritional status determined by malnutrition inflammation score and biochemical parameters in hemodialysis patients. J Ren Nutr. (2020) 30:548–55. doi: 10.1053/j.jrn.2020.01.026

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Studenski SA, Peters KW, Alley DE, Cawthon PM, McLean RR, Harris TB, et al. The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates. J Gerontol A Biol Sci Med Sci. (2014) 69:547–58. doi: 10.1093/gerona/glu010

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: report of the European working group on sarcopenia in older people. Age Ageing. (2010) 39:412–23. doi: 10.1093/ageing/afq034

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyere O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. (2019) 48:16–31. doi: 10.1093/ageing/afy169

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Fielding RA, Vellas B, Evans WJ, Bhasin S, Morley JE, Newman AB, et al. Sarcopenia: an undiagnosed condition in older adults. Current consensus definition: prevalence, etiology, and consequences. International working group on sarcopenia. J Am Med Dir Assoc. (2011) 12:249–56. doi: 10.1016/j.jamda.2011.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Chen LK, Liu LK, Woo J, Assantachai P, Auyeung TW, Bahyah KS, et al. Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia. J Am Med Dir Assoc. (2014) 15:95–101. doi: 10.1016/j.jamda.2013.11.025

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Gomez-Cabrera MC, Pallardo FV, Sastre J, Vina J, Garcia-del-Moral L. Allopurinol and markers of muscle damage among participants in the Tour de France. JAMA. (2003) 289:2503–4. doi: 10.1001/jama.289.19.2503-b

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Sanchis-Gomar F, Pareja-Galeano H, Gomez-Cabrera MC, Candel J, Lippi G, Salvagno GL, et al. Allopurinol prevents cardiac and skeletal muscle damage in professional soccer players. Scand J Med Sci Sports. (2015) 25:e110–5. doi: 10.1111/sms.12213

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Ferrando B, Gomez-Cabrera MC, Salvador-Pascual A, Puchades C, Derbre F, Gratas-Delamarche A, et al. Allopurinol partially prevents disuse muscle atrophy in mice and humans. Sci Rep. (2018) 8:3549. doi: 10.1038/s41598-018-21552-1

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Beveridge LA, Ramage L, McMurdo ME, George J, Witham MD. Allopurinol use is associated with greater functional gains in older rehabilitation patients. Age Ageing. (2013) 42:400–4. doi: 10.1093/ageing/aft046

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Linder N, Rapola J, Raivio KO. Cellular expression of xanthine oxidoreductase protein in normal human tissues. Lab Invest. (1999) 79:967–74.

PubMed Abstract | Google Scholar

39. Krenitsky TA, Tuttle JV, Cattau EL Jr, Wang P. A comparison of the distribution and electron acceptor specificities of xanthine oxidase and aldehyde oxidase. Comp Biochem Physiol B. (1974) 49:687–703. doi: 10.1016/0305-0491(74)90256-9

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Saksela M, Lapatto R, Raivio KO. Xanthine oxidoreductase gene expression and enzyme activity in developing human tissues. Biol Neonate. (1998) 74:274–80. doi: 10.1159/000014034

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Derbre F, Ferrando B, Gomez-Cabrera MC, Sanchis-Gomar F, Martinez-Bello VE, Olaso-Gonzalez G, et al. Inhibition of xanthine oxidase by allopurinol prevents skeletal muscle atrophy: role of p38 MAPKinase and E3 ubiquitin ligases. PLoS ONE. (2012) 7:e46668. doi: 10.1371/journal.pone.0046668

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Ryan MJ, Jackson JR, Hao Y, Leonard SS, Alway SE. Inhibition of xanthine oxidase reduces oxidative stress and improves skeletal muscle function in response to electrically stimulated isometric contractions in aged mice. Free Radic Biol Med. (2011) 51:38–52. doi: 10.1016/j.freeradbiomed.2011.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Muraoka S, Miura T. Inhibition by uric acid of free radicals that damage biological molecules. Pharmacol Toxicol. (2003) 93:284–9. doi: 10.1111/j.1600-0773.2003.pto930606.x

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Molino-Lova R, Sofi F, Pasquini G, Vannetti F, Del Ry S, Vassalle C, et al. Higher uric acid serum levels are associated with better muscle function in the oldest old: results from the Mugello Study. Eur J Intern Med. (2017) 41:39–43. doi: 10.1016/j.ejim.2017.03.014

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Macchi C, Molino-Lova R, Polcaro P, Guarducci L, Lauretani F, Cecchi F, et al. Higher circulating levels of uric acid are prospectively associated with better muscle function in older persons. Mech Ageing Dev. (2008) 129:522–7. doi: 10.1016/j.mad.2008.04.008

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Floriano JP, Nahas PC, de Branco FMS, Dos Reis AS, Rossato LT, Santos HO, et al. Serum uric acid is positively associated with muscle mass and strength, but not with functional capacity, in kidney transplant patients. Nutrients. (2020) 12:2390. doi: 10.3390/nu12082390

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Miller SG, Hafen PS, Brault JJ. Increased adenine nucleotide degradation in skeletal muscle atrophy. Int J Mol Sci. (2019) 21:88. doi: 10.3390/ijms21010088

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Su Z, Klein JD, Du J, Franch HA, Zhang L, Hassounah F, et al. Chronic kidney disease induces autophagy leading to dysfunction of mitochondria in skeletal muscle. Am J Physiol Renal Physiol. (2017) 312:F1128–40. doi: 10.1152/ajprenal.00600.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Nishida A, Kubo K, Nihei H. Impaired muscle energy metabolism in uremia as monitored by 31P-NMR. Nihon Jinzo Gakkai Shi. (1991) 33:65–73.

PubMed Abstract | Google Scholar

50. Houston DK, Nicklas BJ, Ding J, Harris TB, Tylavsky FA, Newman AB, et al. Dietary protein intake is associated with lean mass change in older, community-dwelling adults: the health, aging, and body composition (health ABC) study. Am J Clin Nutr. (2008) 87:150–5. doi: 10.1093/ajcn/87.1.150

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Hellsten Y, Hansson HA, Johnson L, Frandsen U, Sjodin B. Increased expression of xanthine oxidase and insulin-like growth factor I (IGF-I) immunoreactivity in skeletal muscle after strenuous exercise in humans. Acta Physiol Scand. (1996) 157:191–7. doi: 10.1046/j.1365-201X.1996.492235000.x

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Hellsten Y, Frandsen U, Orthenblad N, Sjodin B, Richter EA. Xanthine oxidase in human skeletal muscle following eccentric exercise: a role in inflammation. J Physiol. (1997) 498(Pt 1):239–48. doi: 10.1113/jphysiol.1997.sp021855

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Kosaki K, Kamijo-Ikemori A, Sugaya T, Tanahashi K, Akazawa N, Hibi C, et al. Habitual exercise decreases plasma xanthine oxidoreductase activity in middle-aged and older women. J Clin Biochem Nutr. (2018) 62:247–53. doi: 10.3164/jcbn.17-101

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. (1996) 49:1373–9. doi: 10.1016/S0895-4356(96)00236-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: XOR inhibitor, hemodialysis, sarcopenia, prevalence, AWGS 2019

Citation: Kurajoh M, Mori K, Miyabe M, Matsufuji S, Kizu A, Tsujimoto Y and Emoto M (2022) Xanthine Oxidoreductase Inhibitor Use Associated With Reduced Risk of Sarcopenia and Severe Sarcopenia in Patients Undergoing Hemodialysis. Front. Med. 9:817578. doi: 10.3389/fmed.2022.817578

Received: 18 November 2021; Accepted: 17 January 2022;
Published: 07 February 2022.

Edited by:

Mario Ulises Pérez-Zepeda, Dalhousie University, Canada

Reviewed by:

Irma Ruslina Defi, Dr. Hasan Sadikin General Hospital, Indonesia
Siti Setiati, University of Indonesia, Indonesia

Copyright © 2022 Kurajoh, Mori, Miyabe, Matsufuji, Kizu, Tsujimoto and Emoto. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Masafumi Kurajoh, m1155129@med.osaka-cu.ac.jp

Download