Evidence map›Paper›PMID 40257716›Full record

ArticleAging clinical and experimental research2025

Osteosarcopenia, osteoarthritis and frailty: a two-sample Mendelian randomization study.

Jili Liu, Xin Xia, Zhaolin Wang, Yanqin Wang, Gang Qin

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Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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4citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jili LiuDepartment of Geriatrics, The First Hospital, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China.
Xin XiaThe Center of Gerontology and Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, China.
Zhaolin WangDepartment of Traditional Chinese Medicine, The Second Hospital, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China.
Yanqin WangDepartment of Hematology, Shanxi Hospital of Traditional Chinese Medicine, Taiyuan, Shanxi Province, 030012, China.
Gang QinDepartment of Geriatrics, The First Hospital, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, China. qgsdyy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMusculoskeletal disease, which has a complicated relationship with frailty, is a common clinical problem among elderly individuals.

aimsThis study evaluated the potential causal relationships between osteosarcopenia, osteoarthritis and frailty by Mendelian Randomization (MR) analysis.

methodsThis study employed a two-sample MR approach to investigate the causal relationships among osteosarcopenia, osteoarthritis and frailty. Published summary statistics were used to obtain instrumental variables at the genome-wide significance level.

resultsAmong the age groups with osteoporosis, high total bone mineral density (TBMD) (45-60, OR = 0.966, 95% CI 0.940-0.993, P = 0.013) and TBMD (over 60, OR = 0.974, 95% CI 0.954-0.994, P = 0.011) reduced the risk of frailty. Similarly, high forearm BMD (FA-BMD), high ultradistal forearm BMD (UFA-BMD), and high Heel-BMD at different sites also reduced the risk of frailty (OR = 0.966, 95% CI 0.936-0.996, P = 0.028; OR = 0.975, 95% CI 0.953-0.997, P = 0.029; OR = 0.981, 95% CI 0.967-0.995, P = 0.008). Among the characteristics related to sarcopenia, grip strength in the left hand, grip strength in the right hand, appendicular lean mass, and walking pace were all protective factors for frailty (OR = 0.788, 95% CI 0.721-0.862, P < 0.001; OR = 0.800, 95% CI 0.737-0.869, P < 0.001; OR = 0.955, 95% CI 0.937-0.974, P = 0.000; OR = 0.480, 95% CI 0.388-0.593, P < 0.001), with low grip strength in those over 60 years of age significantly positively correlated with frailty (OR = 1.168, 95% CI 1.059-1.289, P = 0.002). The MR results of osteoarthritis and frailty revealed a causal relationship between specific joint sites and frailty, including KOA (OR = 1.086, 95% CI 1.017-1.160, P = 0.014), HOA (OR = 1.028, 95% CI 1.007-1.049, P = 0.009), and KOA/HOA (OR = 1.082, 95% CI 1.053-1.113, P = 0.000), increasing the risk of frailty.

conclusionOsteosarcopenia, osteoarthritis and frailty exhibit significant causal effects, rendering them risk factors for frailty. Therefore, in clinical practice, patients with osteosarcopenia and osteoarthritis should be required to undergo relevant interventions to reduce the risk of frailty.

Indexed as

FrailtyOsteoarthritisSarcopeniaAgedBone DensityFemaleHand StrengthHumansMaleMendelian Randomization AnalysisMiddle AgedOsteoporosisRisk FactorsFrailtyMendelian randomizationOsteoarthritisOsteosarcopenia

Identifiers

PMID40257716
PMCPMC12011954

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.