The association between the baseline bone resorption marker CTX and incident dysglycemia after 4 years

Ting-ting Liu , Dong-mei Liu , Yan Xuan , Lin Zhao , Li-hao Sun , Dian-dian Zhao , Xiao-feng Wang , Yang He , Xing-Zhi Guo , Rui Du , Ji-qiu Wang , Jian-min Liu , Hong-yan Zhao , Bei Tao

Bone Research ›› 2017, Vol. 5 ›› Issue (1) : 17020

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Bone Research ›› 2017, Vol. 5 ›› Issue (1) : 17020 DOI: 10.1038/boneres.2017.20
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The association between the baseline bone resorption marker CTX and incident dysglycemia after 4 years

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Abstract

Bone is an endocrine organ involved in modulating glucose homeostasis. The role of the bone formation marker osteocalcin (OCN) in predicting diabetes was reported, but with conflicting results. No study has explored the association between baseline bone resorption activity and incident diabetes or prediabetes during follow-up. Our objective was to examine the relationship between the baseline bone resorption marker crosslinked C-telopeptide of type I collagen (CTX) and glycemic dysregulation after 4 years. This longitudinal study was conducted in a university teaching hospital. A total of 195 normal glucose tolerant (NGT) women at baseline were invited for follow-up. The incidence of diabetes and prediabetes (collectively defined as dysglycemia) was recorded. A total of 128 individuals completed the 4-year study. The overall conversion rate from NGT to dysglycemia was 31.3%. The incidence of dysglycemia was lowest in the middle tertile [16.3% (95% confidence interval (CI), 6.8%–30.7%)] compared with the lower [31.0% (95% CI, 17.2%–46.1%)] and upper [46.5% (95% CI, 31.2%–62.6%)] tertiles of CTX, with a significant difference seen between the middle and upper tertiles (P=0.002 5). After adjusting for multiple confounding variables, the upper tertile of baseline CTX was associated with an increased risk of incident dysglycemia, with an odds ratio of 7.09 (95% CI, 1.73–28.99) when the middle tertile was the reference. Osteoclasts actively regulate glucose homeostasis in a biphasic model that moderately enhanced bone resorption marker CTX at baseline provides protective effects against the deterioration of glucose metabolism, whereas an overactive osteoclastic function contributes to an increased risk of subsequent dysglycemia.

Biomarkers: CTX is a potential marker for diabetes

Measuring levels of a biomarker commonly used to determine bone health shows promise as a predictor for diabetes risk. Disruptions to bone regeneration and resorption may alter glucose homeostasis, possibly aiding the development of diabetes. Ting-ting Liu at Shanghai Jiao Tong University School of Medicine, China, and co-workers examined levels of the bone resorption marker CTX to determine if they correlate with the onset of diabetes. The team analyzed samples from 128 patients over a period of 4 years, during which 31% of the cohort developed abnormal glucose levels (dysglycemia). The correlation between CTX and dysglycemia was U-shaped, meaning that patients with elevated or low CTX had an increased risk of developing prediabetes or diabetes. Mid-range CTX levels indicated a healthier outlook. Larger-scale studies will help to clarify whether CTX is a viable marker of diabetes.

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Ting-ting Liu, Dong-mei Liu, Yan Xuan, Lin Zhao, Li-hao Sun, Dian-dian Zhao, Xiao-feng Wang, Yang He, Xing-Zhi Guo, Rui Du, Ji-qiu Wang, Jian-min Liu, Hong-yan Zhao, Bei Tao. The association between the baseline bone resorption marker CTX and incident dysglycemia after 4 years. Bone Research, 2017, 5(1): 17020 DOI:10.1038/boneres.2017.20

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References

[1]

Fishman EI, Stokes A, Preston SH. The dynamics of diabetes among birth cohorts in the U.S. Diabetes Care, 2014, 37: 1052-1059

[2]

Xu Y, Wang L, He J et al. Prevalence and control of diabetes in Chinese adults. JAMA, 2013, 310: 948-959

[3]

Mota M, Popa SG, Mota E et al. Prevalence of diabetes mellitus and prediabetes in the adult Romanian population: PREDATORR study. J Diabetes, 2016, 8: 336-344

[4]

Anjana RM, Shanthi Rani CS, Deepa M et al. Incidence of diabetes and prediabetes and predictors of progression among Asian Indians: 10-year follow-up of the Chennai Urban Rural Epidemiology Study (CURES). Diabetes Care, 2015, 38: 1441-1448

[5]

Karsenty G, Oury F. Biology without walls: the novel endocrinology of bone. Annu Rev Physiol, 2012, 74: 87-105

[6]

Lee NK, Sowa H, Hinoi E et al. Endocrine regulation of energy metabolism by the skeleton. Cell, 2007, 130: 456-469

[7]

Wei J, Shimazu J, Makinistoglu MP et al. Glucose uptake and Runx2 synergize to orchestrate osteoblast differentiation and bone formation. Cell, 2015, 161: 1576-1591

[8]

Ferron M, Hinoi E, Karsenty G et al. Osteocalcin differentially regulates beta cell and adipocyte gene expression and affects the development of metabolic diseases in wild-type mice. Proc Natl Acad Sci USA, 2008, 105: 5266-5270

[9]

Ferron M, McKee MD, Levine RL et al. Intermittent injections of osteocalcin improve glucose metabolism and prevent type 2 diabetes in mice. Bone, 2012, 50: 568-575

[10]

Liu DM, Guo XZ, Tong HJ et al. Association between osteocalcin and glucose metabolism: a meta-analysis. Osteoporos Int, 2015, 26: 2823-2833

[11]

Ngarmukos C, Chailurkit LO, Chanprasertyothin S et al. A reduced serum level of total osteocalcin in men predicts the development of diabetes in a long-term follow-up cohort. Clin Endocrinol, 2012, 77: 42-46

[12]

Hwang YC, Jee JH, Jeong IK et al. Circulating osteocalcin level is not associated with incident type 2 diabetes in middle-aged male subjects: mean 8.4-year retrospective follow-up study. Diabetes Care, 2012, 35: 1919-1924

[13]

Lacombe J, Karsenty G, Ferron M. In vivo analysis of the contribution of bone resorption to the control of glucose metabolism in mice. Mol Metab, 2013, 2: 498-504

[14]

Ferron M, Wei J, Yoshizawa T et al. Insulin signaling in osteoblasts integrates bone remodeling and energy metabolism. Cell, 2010, 142: 296-308

[15]

Luo J, Yang Z, Ma Y et al. LGR4 is a receptor for RANKL and negatively regulates osteoclast differentiation and bone resorption. Nat Med, 2016, 22: 539-546

[16]

Wang J, Liu R, Wang F et al. Ablation of LGR4 promotes energy expenditure by driving white-to-brown fat switch. Nat Cell Biol, 2013, 15: 1455-1463

[17]

Xuan Y, Sun LH, Liu DM et al. Positive association between serum levels of bone resorption marker CTX and HbA1c in women with normal glucose tolerance. J Clin Endocrinol Metab, 2015, 100: 274-281

[18]

Karsenty G, Ferron M. The contribution of bone to whole-organism physiology. Nature, 2012, 481: 314-320

[19]

Liu JM, Rosen CJ, Ducy P et al. Regulation of glucose handling by the skeleton: insights from mouse and human studies. Diabetes, 2016, 65: 3225-3232

[20]

Yamamoto M, Yamaguchi T, Nawata K et al. Decreased PTH levels accompanied by low bone formation are associated with vertebral fractures in postmenopausal women with type 2 diabetes. J Clin Endocrinol Metab, 2012, 97: 1277-1284

[21]

Manavalan JS, Cremers S, Dempster DW et al. Circulating osteogenic precursor cells in type 2 diabetes mellitus. J Clin Endocrinol Metab, 2012, 97: 3240-3250

[22]

Yeap BB, Alfonso H, Chubb SA et al. Higher serum undercarboxylated osteocalcin and other bone turnover markers are associated with reduced diabetes risk and lower estradiol concentrations in older men. J Clin Endocrinol Metab, 2015, 100: 63-71

[23]

Lacey DL, Timms E, Tan HL et al. Osteoprotegerin ligand is a cytokine that regulates osteoclast differentiation and activation. Cell, 1998, 93: 165-176

[24]

Fata JE, Kong YY, Li J et al. The osteoclast differentiation factor osteoprotegerin-ligand is essential for mammary gland development. Cell, 2000, 103: 41-50

[25]

Kiechl S, Wittmann J, Giaccari A et al. Blockade of receptor activator of nuclear factor-kappaB (RANKL) signaling improves hepatic insulin resistance and prevents development of diabetes mellitus. Nat Med, 2013, 19: 358-363

[26]

Becerra-Tomás N, Estruch R, Bulló M et al. Increased serum calcium levels and risk of type 2 diabetes in individuals at high cardiovascularrisk. Diabetes Care, 2014, 37: 3084-3091

[27]

Toulis KA, Nirantharakumar K, Ryan R et al. Bisphosphonates and glucose homeostasis: a population-based, retrospective cohort study. J Clin Endocrinol Metab, 2015, 100: 1933-1940

[28]

Vestergaard P. Risk of newly diagnosed type 2 diabetes is reduced in users of alendronate. Calcif Tissue Int, 2011, 89: 265-270

[29]

Yoshikawa Y, Kode A, Xu L et al. Genetic evidence points to an osteocalcin-independent influence of osteoblasts on energy metabolism. J Bone Miner Res, 2011, 26: 2012-2025

[30]

Styrkarsdottir U, Thorleifsson G, Sulem P et al. Nonsense mutation in the LGR4 gene is associated with several human diseases and other traits. Nature, 2013, 497: 517-520

[31]

Veronese N, Sergi G, De Rui M et al. Serum 25-hydroxyvitamin D and incidence of diabetes in elderly people: the PRO.V.A. study. J Clin Endocrinol Metab, 2014, 99: 2351-2358

[32]

Xuan Y, Zhao HY, Liu JM. Vitamin D and type 2 diabetes mellitus (D2). J Diabetes, 2013, 5: 261-267

[33]

de Boer IH, Tinker LF, Connelly S et al. Calcium plus vitamin D supplementation and the risk of incident diabetes in the Women's Health Initiative. Diabetes Care, 2008, 31: 701-707

[34]

Jorde R, Sollid ST, Svartberg J et al. Vitamin D 20 000 IU per week for five years does not prevent progression from prediabetes to diabetes. J Clin Endocrinol Metab, 2016, 101: 1647-1655

[35]

Vasikaran S, Eastell R, Bruyère O et al. Markers of bone turnover for the prediction of fracture risk and monitoring of osteoporosis treatment: a need for international reference standards. Osteoporos Int, 2011, 22: 391-420

[36]

Garnero P. The contribution of collagen crosslinks to bone strength. BoneKEy Rep, 2012, 1: 182

[37]

Poundarik AA, Wu PC, Evis Z et al. A direct role of collagen glycation in bone fracture. J Mech Behav Biomed Mater, 2015, 52: 120-130

[38]

Yamagishi S, Nakamura N, Suematsu M et al. Advanced glycation end products: a molecular target for vascular complications in diabetes. Mol Med, 2015, 21 Suppl 1 S32-S40

[39]

Valcourt U, Merle B, Gineyts E et al. Non-enzymatic glycation of bone collagen modifies osteoclastic activity and differentiation. J Biol Chem, 2007, 282: 5691-5703

[40]

Saito M, Fujii K, Mori Y et al. Role of collagen enzymatic and glycation induced cross-links as a determinant of bone quality in spontaneously diabetic WBN/Kob rats. Osteoporos Int, 2006, 17: 1514-1523

[41]

Karim L, Bouxsein ML. Effect of type 2 diabetes-related non-enzymatic glycation on bone biomechanical properties. Bone, 2016, 82: 21-27

[42]

Bi Y, Wang W, Xu M et al. Diabetes genetic risk score modifies effect of bisphenol a exposure on deterioration in glucose metabolism. J Clin Endocrinol Metab, 2016, 101: 143-150

[43]

Takizawa M, Suzuki K, Matsubayashi T et al. Increased bone resorption may play a crucial role in the occurrence of osteopenia in patients with type 2 diabetes: Possible involvement of accelerated polyol pathway in its pathogenesis. Diabetes Res Clin Pract, 2008, 82: 119-126

[44]

Vasikaran S, Cooper C, Eastell R et al. International Osteoporosis Foundation and International Federation of Clinical Chemistry and Laboratory Medicine position on bone marker standards in osteoporosis. Clin Chem Lab Med, 2011, 49: 1271-1274

[45]

Wu ZQ, Zhang Y, Xie E et al. High uric acid (UA) negatively affects serum tartrate-resistant acid phosphatase 5b (TRACP 5b) Immunoassay. PloS One, 2016, 11: e0147554

[46]

Durup D, Jorgensen HL, Christensen J et al. A reverse J-shaped association of all-cause mortality with serum 25-hydroxyvitamin D in general practice: the CopD study. J Clin Endocrinol Metab, 2012, 97: 2644-2652

[47]

Yeap BB, Chubb SA, Flicker L et al. Associations of total osteocalcin with all-cause and cardiovascular mortality in older men. The Health In Men Study. Osteoporos Int, 2012, 23: 599-606

[48]

Currie CJ, Peters JR, Tynan A et al. Survival as a function of HbA(1c) in people with type 2 diabetes: a retrospective cohort study. Lancet, 2010, 375: 481-489

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