Serum Irisin Level Is Positively Associated with Bone Mineral Density in Patients on Maintenance Hemodialysis

Lu, Chia-Wen; Wang, Chih-Hsien; Lin, Yu-Li; Kuo, Chiu-Huang; Lai, Yu-Hsien; Hsu, Bang-Gee; Tsai, Jen-Pi

doi:https://doi.org/10.1155/2021/8890042

International Journal of Endocrinology

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Abstract Introduction Materials and Methods Results Discussion Data Availability Disclosure Conflicts of Interest Authors’ Contributions Acknowledgments References Copyright Related Articles

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Skeletal and Cardiac Muscle as Endocrine and Paracrine Organs

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Research Article | Open Access

Volume 2021 | Article ID 8890042 | https://doi.org/10.1155/2021/8890042

Serum Irisin Level Is Positively Associated with Bone Mineral Density in Patients on Maintenance Hemodialysis

Chia-Wen Lu,^1,2Chih-Hsien Wang,^1,3Yu-Li Lin,^1,3Chiu-Huang Kuo,^1,4Yu-Hsien Lai,^1,3Bang-Gee Hsu ,^1,2,3and Jen-Pi Tsai^3,5

Academic Editor: Gerardo Garcia-Rivas

Received26 Sept 2020

Revised17 Dec 2020

Accepted10 Jan 2021

Published25 Jan 2021

Abstract

Background. Irisin is a circulating hormone-like myokine that plays an important role in bone metabolism. We performed a cross-sectional study to investigate whether serum irisin levels correlated with bone mineral density (BMD) in patients on maintenance hemodialysis (MHD). Methods. Blood samples were obtained from 80 patients on MHD, and serum irisin concentrations were determined using a commercially available enzyme-linked immunosorbent assay. BMD was measured by dual-energy X-ray absorptiometry of the L2–L4 vertebrae. Results. In the study cohort, 10 (12.5%) and 19 (23.8%) patients had osteoporosis and osteopenia, respectively, and 51 (63.75%) patients had normal BMD. Lumbar T-score was negatively associated with body height (), body weight (), body mass index (BMI, ), and serum irisin () and was positively associated with advanced age (), female sex (), alkaline phosphatase (ALP, ), urea reduction rate (), and fractional clearance index for urea (). Multivariable forward stepwise linear regression analysis revealed that high serum logarithmically transformed irisin (log-irisin, β = 0.450, adjusted R² change = 0.258; ), female sex (β = −0.353, adjusted R² change = 0.134; ), and serum ALP level (β = −0.176, adjusted R² change = 0.022; ) were significantly and independently associated with lumbar BMD in patients on MHD. Conclusions. In addition to female sex and serum ALP level, serum irisin level was positively associated with lumbar BMD in patients on MHD.

1. Introduction

It was well known that mineral and bone disorders are associated with increased fracture risk and substantial morbidity and mortality in patients with chronic kidney disease (CKD) compared with the general population [1–3]. Osteoporosis, characterized by low bone mass and density, is associated with an increased fracture risk and significant public health burden globally in the general population as well as in patients with end-stage renal disease (ESRD) [3, 4]. In Taiwan, an epidemiological study of the general population aged above 50 years reported that the prevalence of osteoporosis increased from 17.4% in 2001 to 25% in 2011 [5]. Abnormal bone turnover is common and gradually declines with worsening renal function in patients with CKD. Indeed, the 2017 Kidney Disease: Improving Global Outcomes (KDIGO) guidelines recommend bone mineral density (BMD) examination by dual-energy X-ray to assess fracture risk in patients with CKD based on studies showing that decreased BMD is common in patients on maintenance hemodialysis (MHD), with osteoporosis and osteopenia rates of 9.5%–23% and 16.7%–45%, respectively [6–8].

To elucidate the increased predisposition of patients with CKD and low BMD to osteoporosis and fractures, several studies investigated factors associated with BMD including age, sex, nutrition, physical activity, body composition, and myokine levels [9,10]. Evidence showed that inflammation could influence the mechanism of osteoclastogenesis as well as bone resorption in late-stage CKD and MHD patients [11]. Irisin, a newly discovered myokine, which is cleaved from the precursor fibronectin type III domain-containing 5 (FNDC5), is primarily known for its modulatory role in phenotypic changes of white adipose tissue to brown adipose tissue to increase energy expenditure and improve glucose homeostasis; irisin also activates promyogenic genes for subsequent activation of satellite cells and increased protein synthesis [12, 13]. Based on its increased production and release by myocytes after exercise, irisin is considered as an anabolic mediator between the muscle and bone both in vitro and in vivo [14, 15]. In athletes and healthy individuals, irisin positively correlates with total body and hip BMD and strength [16, 17]. However, irisin has also been reported to exhibit a negative relationship with osteoporosis and fracture independently of BMD, body composition, and physical activity in postmenopausal women [18, 19]. A meta-analysis showed that serum irisin was decreased in elderly women with osteoporosis and exhibited a positive correlation with BMD [9].

Overall, these studies highlight the potential role of irisin as a marker and modulator of abnormalities in muscle and bone, but its role on bone density in MHD patients remains unclear. Therefore, we evaluated risk factors for osteoporosis and the relationship between serum irisin levels and BMD in patients on MHD.

2. Materials and Methods

2.1. Patients

This cross-sectional study conducted at Hualien Tzu Chi Hospital, a medical center in Hualien, Taiwan, between June 2015 and August 2015 included patients above 50 years of age on MHD using the standard 4-hour hemodialysis three times a week with standard bicarbonate dialysate and high-flux polysulfone disposable artificial kidney (FX class dialyzer, Fresenius Medical Care, Bad Homburg, Germany). Patients fulfilling the following criteria were excluded: treatment with antiosteoporotic medication (bisphosphonates, teriparatide, or estrogen medications), history of lumbar fracture or surgery, acute infection, malignancy, acute myocardial infarction, pulmonary edema, heart failure at the time of blood sampling, and refusal to provide informed consent. A total of 80 patients fulfilling these criteria were included in the final analyses. The study was approved by the Research Ethics Committee of Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation (IRB106-62-B), and is conducted in accordance with the World Medical Association Declaration of Helsinki.

2.2. Anthropometric Analysis

Body weight and height were measured to the nearest half kilogram and half centimeter, respectively, with patients in light clothing and without shoes. Body mass index (BMI) was calculated as body weight (kg) divided by body height squared (m²) [20–22].

2.3. Biochemical Analyses

Fasting blood samples (approximately 5 mL) were immediately centrifuged at 3000 g for 10 minutes after collection before the hemodialysis. Serum samples were stored at 4°C. Biochemical analyses were performed within one hour of collection. Serum levels of blood urea nitrogen, creatinine, alkaline phosphatase (ALP), total calcium, and phosphorus were measured using an autoanalyzer (Siemens Advia 1800, Siemens Healthcare, Henkestr, Germany). Fractional clearance index for urea (Kt/V) and urea reduction ratio (URR) were measured before and immediately after hemodialysis using a formal, single-compartment dialysis urea kinetic model. Commercial enzyme-linked immunosorbent assays were used to measure serum levels of irisin (Phoenix Pharmaceuticals, CA, USA; catalogue number: EK-067-29) and intact parathyroid hormone (PTH) (IBL International GmbH, Hamburg, German; catalogue number: NM59041) [22]. The interassay and intraassay coefficient of variation of irisin is less than 15% and 10% and interassay and the intraassay coefficient of variation of intact PTH is 5.7% and 4.8%, respectively.

2.4. Measurement of Bone Mineral Density

BMD was measured immediately after blood sampling before MHD. The BMD of L2–L4 vertebrae was measured using dual-energy X-ray absorptiometry (QDR 4500, Hologic, MA, USA) and expressed using absolute values (g/cm²) and T-scores (deviation from peak BMD) [20–22]. T-score was defined as the number of standard deviations from the mean BMD of sex-matched young control subjects. Compared to the mean BMD of controls, a lumbar bone T-score less than −2.5 was used as the diagnostic cutoff for osteoporosis and a lumbar bone T-score between −1.0 and −2.5 was used for the diagnosis of osteopenia, according to the World Health Organization criteria [23].

2.5. Statistical Analysis

Data were tested for normal distribution using the Kolmogorov–Smirnov test. Data were expressed as means ± standard deviation for normally distributed data and as medians with interquartile ranges for nonnormally distributed data. Categorical variables were analyzed using the χ² test. The significance of differences among the normal, osteopenia, and osteoporosis groups was determined using the Kruskal–Wallis or one-way analysis of variance, based on the normality of data and Dunn’s multiple comparison test or post hoc Bonferroni test for multiple comparisons. The duration of hemodialysis and the levels of albumin and irisin exhibited skewed distributions; therefore, the data were log-transformed to achieve normality. Clinical variables that correlated with lumbar BMD in patients on MHD were evaluated by simple linear regression analysis and multivariable forward stepwise linear regression analysis. All statistical analyses were performed using SPSS for Windows (version 19.0; SPSS, Chicago, IL, USA). A value of <0.05 was considered to indicate statistical significance.

3. Results

Based on BMD measurements, the study cohort comprised 51 (63.75%), 19 (23.75%), and 10 (12.5%) patients in the normal, osteopenia, and osteoporosis groups, respectively (Table 1). Compared with the normal group, the rates of female and older patients were significantly higher in the osteopenia and osteoporosis groups ( and , respectively). Additionally, the mean BMI and mean serum irisin levels were lower ( and , resp.) and the mean ALP, URR, and Kt/V (, , and , respectively) were higher in the osteopenia and osteoporosis groups compared with the normal group. The rates of diabetes mellitus and hypertension as comorbidities did not differ among the three groups.

By simple linear regression analysis, body height (r = 0.440, ), body weight (r = 0.462, ), BMI (r = 0.332, ), serum creatinine (r = 0.297, ), and log-transformed irisin level (log-irisin, r = 0.517, ) were positively correlated with lumbar BMD whereas female sex (r = −0.430, ), age (r = −0.268, ), serum ALP level (r = −0.294, ), URR (r = −0.271, ), and Kt/V (r = −0.268, ) were negatively correlated with lumbar BMD (Table 2). The multivariable forward stepwise linear regression analysis including variables that were associated with lumbar BMD in the simple linear regression analysis (sex, age, BMI, creatinine, ALP, URR, Kt/V, and log-irisin) revealed that serum log-irisin level (β = 0.450, adjusted R² change = 0.258; ), female sex (β = −0.353, adjusted R² change = 0.134; ), and serum ALP level (β = −0.176, adjusted R² change = 0.022; ) were significantly and independently associated with lumbar BMD in patients on MHD.

4. Discussion

The present cross-sectional analysis of 80 patients on MHD revealed that the serum irisin levels were lower in patients with osteopenia or osteoporosis compared to those with normal BMD. Furthermore, in addition to female sex, serum ALP level was negatively correlated, while serum irisin level was positively correlated lumbar BMD in patients on MHD.

Several studies aimed to identify risk factors for low BMD in patients with CKD or ESRD who are at a higher risk of osteoporosis and fracture-related mortality compared to the general population [1, 10, 24, 25]. In a cohort study of patients on CKD not undergoing dialysis, Hyun et al. showed that low BMD was prevalent, with osteopenia and osteoporosis rates of 33% and 8%, respectively; the authors also reported that low BMD was significantly associated with female sex, old age, low BMI, and decreased renal function as well as increased risk of ESRD [26]. In another longitudinal cohort study, Nickolas et al. found that patients on CKD experienced progressive loss of cortical density and thickness along with increased porosity in the bone, which were driven by increased bone turnover based on PTH and bone-specific ALP levels; the authors also found that PTH and bone-specific ALP levels predicted the decreases in the cortical area (2.2% and 2.8%, respectively.) and cortical thickness (2.0% and 2.5%, respectively.) [27]. Moreover, another study utilizing dual-energy X-ray absorptiometry reported that 13.6%, 22.2%, and 33.3% of patients on dialysis exhibited osteoporosis of the spine, hip, and any site (hip and spine), respectively [28]. In addition, the authors found that BMD was negatively associated with age, female sex, and bone-specific ALP level and positively associated with BMI; however, BMD did not show significant associations with dialysis duration, diabetes mellitus, and smoking [28]. In agreement with these studies, we also found that 23.75% and 12.5% of the patients on MHD had osteopenia and osteoporosis, respectively, and that MBD was negatively associated with age, female sex, and ALP and positively associated with BMI.

Physical exercise is crucial for the healthy development of the skeleton, whereas muscle disuse in patients with sarcopenia can lead to osteoporotic hip fractures, which are associated with reduced life expectancy and increased mortality [29]. Serum levels of irisin, a myokine cleaved from FNDC5, increases after exercise, indicating the link between muscle and bone activity [30]. Exercise was shown to induce irisin expression compared to the resting state in mice, and conditioned medium from exercised myoblasts was demonstrated to target osteoblasts and enhance the differentiation of bone marrow stromal cells, indicating the osteogenic effect of muscle [14]. Moreover, injection of recombinant irisin at a lower dose before the induction of browning in white adipose tissue of mice was associated with improved cortical mineral density, bone bending strength, and geometrical architecture as well as with a reduction in osteoclasts [15]. In mice subjected to mechanical unloading, recombinant irisin induced the preservation of cortical and trabecular BMD and bone volume by reducing sclerostin and increasing osteoprotegerin to the levels measured in normally ambulated mice and by restoring osteoblastogenesis [31]. Recently, Zhu et al. reported that the novel Fndc5/irisin knockout mice exhibited lower BMD, bone surface, and bone volume, with delayed bone development and hypomineralization [32]. The authors also showed that the treatment of bone marrow-derived mesenchymal cells with recombinant irisin induced osteoblastogenesis through the activation of Wnt/β-catenin pathway and inhibited osteoclastogenesis through the inhibition of receptor activator of nuclear factor-κB ligand-induced AKT cascade and suppression of NFATc1 activation. Altogether, these findings indicate that exercise-induced release of irisin has profound effects on bone remodeling as an anabolic mediator between muscle and bone. In clinical studies, irisin was shown to be a stronger determinant of bone mineral status compared with PTH and bone ALP in children [33]. In athletes and older individuals, serum irisin levels were positively correlated with total body and subregional anatomical BMD [16, 17]. Furthermore, irisin was reported to be negatively correlated with osteoporosis and fracture independently of BMD, body composition, and physical activity in postmenopausal women [18, 19]. In a meta-analysis, there was a weak association between irisin and lumbar BMD as well as femoral neck fracture; decreased irisin levels were associated with osteoporosis by pooled analysis and irisin levels were even lower in postmenopausal women and those with a history of fracture [9], suggesting that irisin might have utility as a marker for the assessment of metabolic bone disease. However, Kim et al. found irisin could induce the expression of sclerostin in vitro in a dose-dependent manner, which indicated suppression of the activity of osteoblast [34]. Moreover, FNDC5 knockout mice displayed suppressed RANKL activity, which was correlated with the reduction of bone resorption [34]. According to the consideration by Kim et al., irisin could be a molecule similar to parathyroid home which could exert both beneficial and harmful effects through mechanisms such as constant high level or intermittent pulse levels on bone health. Taken together, we found that there was a positive association between lumbar BMD and serum irisin level independently of baseline comorbidities, dialysis duration, female sex, and age. These findings highlight the potential role of irisin as a modulator and marker of bone health in patients on MHD. But the mechanism of irisin on bone health in MHD should be further studied to delineate the actual role of irisin as a mediator of negative feedback control or a marker of decreased muscle mass as well as impaired physical activities in this frail population.

One major limitation of the present study was the cross-sectional design and the inclusion of a limited number of patients on MHD. In addition, evidence showed daily activities would influence the serum levels of irisin but there were no available data on the daily activity of patients. Therefore, the causal relationship between irisin and BMD and the underlying mechanisms should be confirmed by future longitudinal studies.

In the present study, lumbar BMD was positively correlated with serum irisin level in addition to female sex and serum ALP level in patients on MHD. These findings indicate that irisin might serve as an endocrine signal in the pathogenesis of osteoporosis and might be considered as a novel therapeutic target to restore bone mass in osteoporosis caused by muscle disuse in certain chronic diseases. Further, our findings suggest that irisin should be considered as a useful biomarker for osteoporosis in patients on MHD, which requires further confirmation in specifically designed studies.

Data Availability

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Disclosure

This manuscript was presented in the 2019 World Congress of Nephrology (Melbourne, Australia) held from April 12 to 15, 2019. The funding source had no role in the conception and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation of the manuscript.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Chia-Wen Lu and Bang-Gee Hsu conceived and designed the experiments; Chia-Wen Lu, Chih-Hsien Wang, Yu-Li Lin, Chiu-Huang Kuo, and Yu-Hsien Lai performed the experiments; Bang-Gee Hs and Jen-Pi Tsai analyzed the data; Chia-Wen Lu and Bang-Gee Hsu contributed to reagents; Chia-Wen Lu, Bang-Gee Hsu, and Jen-Pi Tsai wrote the paper. All authors have read and approved the manuscript. Bang-Gee Hsu and Jen-Pi Tsai contributed equally to this study.

Acknowledgments

This work was supported by grants from the Buddhist Tzu Chi Medical Foundation, Taiwan (TCRD109-32).

References

S. L. West, C. E. Lok, L. Langsetmo et al., “Bone mineral density predicts fractures in chronic kidney disease,” Journal of Bone and Mineral Research, vol. 30, no. 5, pp. 913–919, 2015.
View at: Publisher Site | Google Scholar
K. L. Naylor, A. X. Garg, G. Zou et al., “Comparison of fracture risk prediction among individuals with reduced and normal kidney function,” Clinical Journal of the American Society of Nephrology, vol. 10, no. 4, pp. 646–653, 2015.
View at: Publisher Site | Google Scholar
A. M. Alem, D. J. Sherrard, D. L. Gillen et al., “Increased risk of hip fracture among patients with end-stage renal disease,” Kidney International, vol. 58, no. 1, pp. 396–399, 2000.
View at: Publisher Site | Google Scholar
L. G. Raisz, “Pathogenesis of osteoporosis: concepts, conflicts, and prospects,” Journal of Clinical Investigation, vol. 115, no. 12, pp. 3318–3325, 2005.
View at: Publisher Site | Google Scholar
F.-P. Chen, T.-S. Huang, T.-S. Fu, C.-C. Sun, A.-S. Chao, and T.-L. Tsai, “Secular trends in incidence of osteoporosis in Taiwan: a nationwide population-based study,” Biomedical Journal, vol. 41, no. 5, pp. 314–320, 2018.
View at: Publisher Site | Google Scholar
M. Slouma, H. Sahli, A. Bahlous et al., “Mineral bone disorder and osteoporosis in hemodialysis patients,” Advances in Rheumatology, vol. 60, no. 1, p. 15, 2020.
View at: Publisher Site | Google Scholar
Kidney Disease: Improving Global Outcomes (KDIGO), “CKD-MBD update work group, “KDIGO 2017 Clinical practice guideline update for the diagnosis, evaluation, prevention, and treatment of chronic kidney disease-mineral and bone disorder (CKD-MBD),” Kidney International Supplements, vol. 7, no. 1, pp. 1–59, 2017.
View at: Google Scholar
M. Khan, G. Syed, A. Khan et al., “Mean bone mineral density and frequency of occurrence of osteopenia and osteoporosis in patients on hemodialysis: a single-center study,” Saudi Journal of Kidney Diseases and Transplantation, vol. 25, no. 1, pp. 38–43, 2014.
View at: Publisher Site | Google Scholar
K. Zhou, X. Qiao, Y. Cai, A. Li, and D. Shan, “Lower circulating irisin in middle-aged and older adults with osteoporosis,” Menopause, vol. 26, no. 11, pp. 1302–1310, 2019.
View at: Publisher Site | Google Scholar
C. O. Stehman-Breen, D. J. Sherrard, A. M. Alem et al., “Risk factors for hip fracture among patients with end-stage renal disease,” Kidney International, vol. 58, no. 5, pp. 2200–2205, 2000.
View at: Publisher Site | Google Scholar
M. Gigante and G. Brunetti, “Inflammation induces osteoclast differentiation from peripheral mononuclear cells in chronic kidney disease patients: crosstalk between the immune and bone systems,” Nephrology, Dialysis, Transplantation, vol. 33, no. 1, pp. 65–75, 2018.
View at: Google Scholar
F. Villarroya, “Irisin, turning up the heat,” Cell Metabolism, vol. 15, no. 3, pp. 277-278, 2012.
View at: Publisher Site | Google Scholar
M. M. Reza, N. Subramaniyam, C. M. Sim et al., “Irisin is a pro-myogenic factor that induces skeletal muscle hypertrophy and rescues denervation-induced atrophy,” Nature Communications, vol. 8, no. 1, p. 1104, 2017.
View at: Publisher Site | Google Scholar
G. Colaianni, C. Cuscito, T. Mongelli et al., “Irisin enhances osteoblast differentiation in vitro,” International Journal of Endocrinology, vol. 2014, Article ID 902186, 18 pages, 2014.
View at: Publisher Site | Google Scholar
G. Colaianni, C. Cuscito, T. Mongelli et al., “The myokine irisin increases cortical bone mass,” Proceedings of the National Academy of Sciences of the United States of America, vol. 112, no. 42, pp. 12157–12162, 2015.
View at: Publisher Site | Google Scholar
G. Colaianni, A. Notarnicola, L. Sanesi et al., “Irisin levels correlate with bone mineral density in soccer players,” Journal of Biological Regulators and Homeostatic Agents, vol. 31, no. 4 suppl 1, pp. 21–28, 2017.
View at: Google Scholar
L.-F. Wu, D.-C. Zhu, C.-H. Tang et al., “Association of plasma irisin with bone mineral density in a large Chinese population using an extreme sampling design,” Calcified Tissue International, vol. 103, no. 3, pp. 246–251, 2018.
View at: Publisher Site | Google Scholar
A. Palermo, R. Strollo, E. Maddaloni et al., “Irisin is associated with osteoporotic fractures independently of bone mineral density, body composition or daily physical activity,” Clinical Endocrinology, vol. 82, no. 4, pp. 615–619, 2015.
View at: Publisher Site | Google Scholar
A. D. Anastasilakis, S. A. Polyzos, P. Makras et al., “Circulating irisin is associated with osteoporotic fractures in postmenopausal women with low bone mass but is not affected by either teriparatide or denosumab treatment for 3 months,” Osteoporosis International, vol. 25, no. 5, pp. 1633–1642, 2014.
View at: Publisher Site | Google Scholar
B.-G. Hsu, Y.-C. Chen, G.-J. Ho et al., “Inverse association between serum osteoprotegerin and bone mineral density in renal transplant recipients,” Transplantation Proceedings, vol. 48, no. 3, pp. 864–869, 2016.
View at: Publisher Site | Google Scholar
M.-C. Lee, C.-J. Lee, M.-H. Shih, G.-J. Ho, Y.-C. Chen, and B.-G. Hsu, “N-terminal pro-B-type natriuretic peptide is inversely related to bone mineral density in renal transplant recipients,” Transplantation Proceedings, vol. 46, no. 10, pp. 3443–3447, 2014.
View at: Publisher Site | Google Scholar
C. H. Wang, Y. H. Lai, Y. L. Lin et al., “Increased serum leptin level predicts bone mineral density in hemodialysis patients,” International Journal of Endocrinology, vol. 2020, Article ID 8451751, 17 pages, 2020.
View at: Publisher Site | Google Scholar
J. A. Kanis, L. J. Melton, C. Christiansen, C. C. Johnston, and N. Khaltaev, “The diagnosis of osteoporosis,” Journal of Bone and Mineral Research: The Official Journal of the American Society for Bone and Mineral Research, vol. 9, no. 8, pp. 1137–1141, 1994.
View at: Publisher Site | Google Scholar
D. Nitsch, A. Mylne, P. J. Roderick, L. Smeeth, R. Hubbard, and A. Fletcher, “Chronic kidney disease and hip fracture-related mortality in older people in the UK,” Nephrology Dialysis Transplantation, vol. 24, no. 5, pp. 1539–1544, 2009.
View at: Publisher Site | Google Scholar
M. A. Fontaine, A. Albert, B. Dubois, A Saint-Remy, and G Rorive, “Fracture and bone mineral density in hemodialysis patients,” Clinical Nephrology, vol. 54, no. 3, pp. 218–226, 2000.
View at: Google Scholar
Y. Y. Hyun, K. B. Lee, S. H. Han et al., “Risk factors and renal outcomes of low bone mineral density in patients with non-dialysis chronic kidney disease,” Osteoporosis International, vol. 33, 2017, in press.
View at: Google Scholar
T. L. Nickolas, E. M. Stein, E. Dworakowski et al., “Rapid cortical bone loss in patients with chronic kidney disease,” Journal of Bone and Mineral Research, vol. 28, no. 8, pp. 1811–1820, 2013.
View at: Publisher Site | Google Scholar
H. H. Malluche, D. L. Davenport, T. Cantor, and M.-C. Monier-Faugere, “Bone mineral density and serum biochemical predictors of bone loss in patients with CKD on dialysis,” Clinical Journal of the American Society of Nephrology, vol. 9, no. 7, pp. 1254–1262, 2014.
View at: Publisher Site | Google Scholar
G. Crepaldi and S. Maggi, “Sarcopenia and osteoporosis: a hazardous duet,” Journal of Endocrinological Investigation, vol. 28, no. 10 Suppl, pp. 66–68, 2005.
View at: Google Scholar
G. Colaianni, S. Cinti, S. Colucci, and M. Grano, “Irisin and musculoskeletal health,” Annals of the New York Academy of Sciences, vol. 1402, no. 1, pp. 5–9, 2017.
View at: Publisher Site | Google Scholar
G. Colaianni, T. Mongelli, C. Cuscito et al., “Irisin prevents and restores bone loss and muscle atrophy in hind-limb suspended mice,” Scientific Reports, vol. 7, no. 1, p. 2811, 2017.
View at: Publisher Site | Google Scholar
X. Zhu, X. Li, X. Wang et al., “Irisin deficiency disturbs bone metabolism,” Journal of Cellular Physiology, vol. 18, 2013, in press.
View at: Google Scholar
G. Colaianni, M. F. Faienza, L. Sanesi et al., “Irisin serum levels are positively correlated with bone mineral status in a population of healthy children,” Pediatric Research, vol. 85, no. 4, pp. 484–488, 2019.
View at: Publisher Site | Google Scholar
H. Kim, C. D. Wrann, M. Jedrychowski et al., “Irisin mediates effects on bone and fat via alpha V integrin receptors,” Cell, vol. 175, no. 7, pp. 1756–1768, 2019.
View at: Google Scholar

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Copyright © 2021 Chia-Wen Lu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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