Correlation study between bone metabolic markers, bone mineral density, and sarcopenia

W Q Xie; M He; D J Yu; H Z Li; H F Jin; B Z Ji; G Yang; L L Chen; M Rahmati; Y S Li

doi:10.1007/s40618-023-02252-8

Correlation study between bone metabolic markers, bone mineral density, and sarcopenia

J Endocrinol Invest. 2023 Dec 14. doi: 10.1007/s40618-023-02252-8. Online ahead of print.

Authors

W Q Xie^{1

2}, M He^{1

2}, D J Yu¹, H Z Li¹, H F Jin¹, B Z Ji¹, G Yang¹, L L Chen³, M Rahmati^{4

5}, Y S Li^{6

7}

Affiliations

¹ Deparment of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
² National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
³ Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha, 410000, Hunan, China.
⁴ Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khorramabad, Iran.
⁵ Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran.
⁶ Deparment of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. liyusheng@csu.edu.cn.
⁷ National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. liyusheng@csu.edu.cn.

PMID: 38097848
DOI: 10.1007/s40618-023-02252-8

Abstract

Objective: To investigate the correlation between bone metabolism markers, bone mineral density (BMD), and sarcopenia.

Methods: A total of 331 consecutive patients aged ≥ 60 years who were hospitalized between November 2020 and December 2021 were enrolled. Participants were divided into sarcopenia and non-sarcopenia groups according to the Asian Working Group on Sarcopenia criteria (AWGS, 2019). The clinical data, bone metabolism markers (β-CTX, N-MID, and TP1NP), and BMD were compared between the two groups.

Results: Age, β-CTX, and N-MID of the sarcopenia group were higher than those of the non-sarcopenia group (P < 0.05), but the BMD T values were lower than those of the non-sarcopenia group (P < 0.05). Binary logistic regression analysis showed that increased femoral neck BMD (FNBMD) was a protective factor for sarcopenia, while increased β-CTX was a risk factor. Pearson/Spearman correlation analysis showed that the diagnostic indices of sarcopenia were positively correlated with FNBMD and negatively correlated with β-CTX and N-MID. Multiple linear regression analysis revealed that BMI and FNBMD significantly positively affected muscle strength and appendicular skeletal muscle mass (ASM). The FNBMD significantly positively affected physical performance, while β-CTX significantly negatively affected muscle strength, ASM, and physical performance.

Conclusion: Increased FNBMD may be a protective factor against sarcopenia, and increased β-CTX may be a risk factor. The FNBMD significantly positively affected the diagnostic indices of sarcopenia, while β-CTX significantly negatively affected them. BMD and bone metabolism marker levels may be considered in early screening for sarcopenia.

Keywords: Bone metabolism marker; Bone mineral density; Muscle mass; Muscle strength; Physical performance; Sarcopenia.

Abstract

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