中国组织工程研究

中国组织工程研究 ›› 2026, Vol. 30 ›› Issue (28): 7388-7395.doi: 10.12307/2026.768

• 组织工程相关大数据分析 Big data analysis in tissue engineering • 上一篇    下一篇

肌少症与认知障碍：基于欧洲人群数据库的资料分析

尹兴晓1，彭  皓1，宋艳萍2，姚  娜2，申  震2，蒋  阳1，陈红波2，黄  丽2，宋粤逾1，李艳琪1，陈奇刚2   

  1. 1云南师范大学体育学院，云南省昆明市  650500；2云南中医药大学第三附属医院(昆明市中医医院康复科)，云南省昆明市  650011
  • 收稿日期:2025-08-18 修回日期:2025-10-21 出版日期:2026-10-08 发布日期:2026-02-24
  • 通讯作者: 陈奇刚，主任医师，教授，硕士研究生导师，云南中医药大学第三附属医院(昆明市中医医院康复科)，云南省昆明市 650011 共同通讯作者：申震，博士，云南中医药大学第三附属医院(昆明市中医医院康复科)，云南省昆明市 650011
  • 作者简介:尹兴晓，男，1998年生，汉族，云南师范大学在读硕士，主要从事肌骨康复、运动康复方向研究。
  • 基金资助:
    国家自然科学基金项目(82360943)，项目负责人：申震；云南省“兴滇英才支持计划”青年人才专项项目(XDYC-QNRC-2022-0609)，项目负责人：申震；云南省科学技术厅中医联合专项课题(202101AZ070001-257，202101AZ070001-123)，项目负责人：申震；云南省科学技术厅基础研究专项课题(202201AU070120)，项目负责人：申震

Sarcopenia and cognitive impairment: a data analysis based on European population databases

  1. 1School of Physical Education, Yunnan Normal University, Kunming 650500, Yunnan Province, China; 2The Third Affiliated Hospital of Yunnan University of Chinese Medicine (Rehabilitation Department, Kunming Hospital of Traditional Chinese Medicine), Kunming 650011, Yunnan Province, China 
  • Received:2025-08-18 Revised:2025-10-21 Online:2026-10-08 Published:2026-02-24
  • Contact: Chen Qigang, Chief physician, Professor, Master’s supervisor, The Third Affiliated Hospital of Yunnan University of Chinese Medicine (Rehabilitation Department, Kunming Hospital of Traditional Chinese Medicine), Kunming 650011, Yunnan Province, China Co-corresponding author: Shen Zhen, PhD, The Third Affiliated Hospital of Yunnan University of Chinese Medicine (Rehabilitation Department, Kunming Hospital of Traditional Chinese Medicine), Kunming 650011, Yunnan Province, China
  • About author:Yin Xingxiao, MS candidate, School of Physical Education, Yunnan Normal University, Kunming 650500, Yunnan Province, China
  • Supported by:
    the National Natural Science Foundation of China, No. 82360943 (to SZ); Young Talent Special Project of Yunnan Province “Xing Dian Talent Support Program,” No. XDYC-QNRC-2022-0609 (to SZ); Chinese Medicine Joint Project of Yunnan Provincial Department of Science and Technology, Nos. 202101AZ070001-257 and 202101AZ070001-123 (to SZ); Basic Research Special Project of Yunnan Provincial Department of Science and Technology, No. 202201AU070120 (to SZ)

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摘要：



文题释义：

肌少症：是一种进行性全身性骨骼肌障碍性疾病，主要临床特征包括骨骼肌质量进行性减少、肌力显著下降以及躯体功能明显减退，导致患者跌倒风险显著增加，进而引发骨折等严重并发症，最终造成躯体功能障碍甚至死亡率升高等不良临床结局。
认知障碍：是一种以进行性多维度认知功能障碍为特征的临床综合征，核心临床表现包括记忆力减退、思维迟缓、知觉障碍、语言功能受损以及执行功能障碍(如决策、计划及推理能力下降)，最终可导致痴呆综合征的发生。

背景：近年来，多项流行病学研究表明肌少症与认知障碍可能存在潜在的病理学联系，但由于传统观察性研究存在方法学局限及难以控制的混杂因素，二者在遗传层面的因果关系尚未得到充分证实。
目的：采用孟德尔随机化方法系统分析欧洲人群中肌少症与认知障碍的因果关系及潜在发病机制。
方法：基于英国生物样本库中肌少症相关表型(全身无脂肪质量、双手握力及步行速度)的全基因组关联分析汇总数据和IEU数据库中认知功能的全基因组关联分析汇总数据。通过严格的阈值筛选和连锁不平衡去除等质控步骤后，采用双向孟德尔随机化分析方法展开研究。正向分析以肌少症相关特征作为暴露因素，认知功能作为结局变量；反向分析则交换两者的因果关系方向。此次研究以逆方差加权法作为主要分析方法，并辅以加权中位数法、MR-Egger回归法和稳健调整轮廓评分法进行多重验证。为保障研究结果的稳健性，研究进一步开展了异质性检验和系列敏感性分析。
结果与结论：①孟德尔随机化逆方差加权法正向因果分析结果显示，全身无脂肪质量(OR=1.091，95%CI：1.001-1.188，P=0.045)、左手握力(OR=1.283，95%CI：1.077-1.527，P=0.005)、右手握力(OR=1.220，95%CI：1.022-1.456，P=0.027)和步行速度(OR=3.069，95%CI：1.997-4.717，P < 0.001)均与认知功能呈显著正相关；②反向因果分析结果显示，认知功能仅与步行速度存在显著正向因果关系(OR=1.023，95%CI：1.004-1.043，P=0.014)，而与全身无脂肪质量、左右手握力等指标未发现显著关联；③敏感性分析显示研究存在一定异质性，但没有发现水平多效性。研究结果表明肌少症与认知障碍之间存在因果关系，提示肌少症可作为认知障碍的预测指标，为临床早期筛查提供理论依据。此次研究基于国际公共数据库开展分析，其结果为中国人群肌少症与认知障碍的关联研究提供了新的证据，对两种疾病的早期筛查和预防具有重要参考价值。

https://orcid.org/0009-0007-5536-7757(尹兴晓)


中国组织工程研究杂志出版内容重点：干细胞；骨髓干细胞；造血干细胞；脂肪干细胞；肿瘤干细胞；胚胎干细胞；脐带脐血干细胞；干细胞诱导；干细胞分化；组织工程

关键词: 肌少症, 认知障碍, 双向孟德尔随机化, 因果关系, 肌-脑轴, 肌肉质量, 步行速度

Abstract: BACKGROUND: In recent years, multiple epidemiological studies have suggested a potential pathological link between sarcopenia and cognitive impairment. However, due to methodological limitations in traditional observational studies and difficulties in controlling confounding factors, their genetic-level causal relationship has not yet been fully elucidated. 
OBJECTIVE: To systematically analyze the causal relationship and underlying pathogenesis between sarcopenia and cognitive impairment in European populations using Mendelian randomization methods. 
METHODS: This study utilized genome-wide association study (GWAS) summary statistics for sarcopenia-related phenotypes (whole-body fat-free mass, hand grip strength, and walking pace) from the UK Biobank, as well as GWAS summary data for cognitive function from the IEU database. After stringent quality control steps, including threshold screening and linkage disequilibrium removal, a bidirectional Mendelian randomization analysis was conducted. The forward analysis treated sarcopenia-related traits as exposure factors and cognitive function as the outcome variable, while the reverse analysis swapped their causal directions. The inverse-variance weighted method served as the primary analytical approach, supplemented by the weighted median method, MR-Egger regression, and robust adjusted profile score for validation. To ensure the robustness of the findings, the study further performed heterogeneity tests and a series of sensitivity analyses. 
RESULTS AND CONCLUSION: (1) The results of the forward causal analysis using the inverse variance-weighted Mendelian randomization method indicated that total fat-free mass (odds ratio=1.091, 95% confidence interval: 1.001–1.188, P=0.045), left handgrip strength (odds ratio=1.283, 95% confidence interval: 1.077–1.527, P=0.005), right handgrip strength (odds ratio=1.220, 95% confidence interval: 1.022–1.456, P=0.027), and walking speed (odds ratio=3.069, 95% confidence interval: 1.997–4.717, P < 0.001) were all significantly positively correlated with cognitive function. (2) The results of the reverse causal analysis showed that cognitive function was only significantly positively associated with walking speed (odds ratio=1.023, 95% confidence interval: 1.004–1.043, P=0.014), with no significant association found for total fat-free mass or handgrip strength. (3) Sensitivity analyses indicated some heterogeneity in the study; however, horizontal pleiotropy was not observed. Research findings demonstrate a causal relationship between sarcopenia and cognitive impairment, suggesting that sarcopenia may serve as a predictive indicator for cognitive impairment and providing a theoretical basis for early clinical screening. Furthermore, this study, based on an international public database, offers new evidence for the association between sarcopenia and cognitive impairment in the Chinese population, which holds significant reference value for the early screening and prevention of these two conditions.

Key words: sarcopenia, cognitive impairment, bidirectional Mendelian randomization, causal relationship, muscle-brain axis, muscle mass, walking speed

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