{"title":"老年人肌肉减少性肥胖和无肥胖的肌肉减少症的不同肠道微生物群特征","authors":"Ling Wang , Xiangfeng He , Zhen Zhang , Nan Chen","doi":"10.1016/j.clnu.2025.04.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Previous evidence suggests that gut dysbiosis plays an important role in the development and progression of sarcopenia and sarcopenic obesity (SO), but evidence supporting this association is lacking. Thus, this study aimed to investigate the characteristics of gut microbiota in older people with sarcopenia and SO.</div></div><div><h3>Methods</h3><div>A total of 1558 older adults (age ≥65 years) from a community-based cohort in Shanghai, China, underwent sarcopenia screening using the SARC-F questionnaire, with 351 participants completing further assessment. On the basis of the Asian Working Group for Sarcopenia 2019 and the World Health Organization obesity criteria, 60 participants were categorized into three groups: SO (n = 20), sarcopenia without obesity (Sar, n = 18), and controls (Con, n = 22). Gut microbiota composition was analyzed using 16S rRNA sequencing (V3–V4 regions).</div></div><div><h3>Results</h3><div>Significant differences in the diversity and composition of the gut microbiota were observed in the Sar and SO groups. A reduction in alpha diversity (Chao1 and ACE indices) was found in the SO group. Beta diversity based on unweighted Unifrac PCoA was significantly different among the three groups. LEfSe analysis identified 39 taxa with significant differential abundances across groups. The Sar group exhibited enrichment of <em>Christensenellaceae</em><em>_R-7_group</em>, <em>Alistipes</em>, <em>Ruminococcus</em>, <em>Odoribacter</em>, <em>Prevotellaceae</em><em>_UCG-001</em>, <em>Hungatella</em>, <em>Family_XIII_AD3011_group</em>, <em>Anaerotruncus</em>, <em>Ruminiclostridium</em>, and <em>Oxalobacter</em>, along with their high taxonomic classifications. Meanwhile, <em>Enterobacteriaceae</em>, <em>Allisonella</em>, and <em>Peptoclostridium</em> were enriched in the SO group. Feature selection via Boruta algorithm identified five and four discriminatory taxa to construct random forest models, effectively distinguishing individuals with Sar and SO from Con. Key predictors for Sar included reduced <em>Enterococcus</em>, <em>Enterobacter</em>, and <em>Hungatella</em> and increased <em>Odoribacter</em> and <em>Christensenellaceae</em><em>_R-7_group</em>. Conversely, SO was characterized by decreased <em>Enterobacter</em>, <em>Alloprevotella</em>, and <em>Enterococcus</em> and increased <em>Allisonella</em>. Five-fold cross-validation confirmed robust diagnostic efficacy, achieving AUCs of 0.860 (95 % CI: 0.786–0.996) for Sar and 0.826 (95 % CI: 0.735–0.970) for SO.</div></div><div><h3>Conclusion</h3><div>This study demonstrated that the gut microbiota of SO and Sar have distinct diversity and composition profiles. The results provide new insights into the role of gut microbiota in SO, highlighting its potential as a therapeutic target in this condition.</div></div>","PeriodicalId":10517,"journal":{"name":"Clinical nutrition","volume":"49 ","pages":"Pages 77-89"},"PeriodicalIF":7.9000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distinct gut microbiota signatures in older people with sarcopenic obesity and sarcopenia without obesity\",\"authors\":\"Ling Wang , Xiangfeng He , Zhen Zhang , Nan Chen\",\"doi\":\"10.1016/j.clnu.2025.04.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Previous evidence suggests that gut dysbiosis plays an important role in the development and progression of sarcopenia and sarcopenic obesity (SO), but evidence supporting this association is lacking. Thus, this study aimed to investigate the characteristics of gut microbiota in older people with sarcopenia and SO.</div></div><div><h3>Methods</h3><div>A total of 1558 older adults (age ≥65 years) from a community-based cohort in Shanghai, China, underwent sarcopenia screening using the SARC-F questionnaire, with 351 participants completing further assessment. On the basis of the Asian Working Group for Sarcopenia 2019 and the World Health Organization obesity criteria, 60 participants were categorized into three groups: SO (n = 20), sarcopenia without obesity (Sar, n = 18), and controls (Con, n = 22). Gut microbiota composition was analyzed using 16S rRNA sequencing (V3–V4 regions).</div></div><div><h3>Results</h3><div>Significant differences in the diversity and composition of the gut microbiota were observed in the Sar and SO groups. A reduction in alpha diversity (Chao1 and ACE indices) was found in the SO group. Beta diversity based on unweighted Unifrac PCoA was significantly different among the three groups. LEfSe analysis identified 39 taxa with significant differential abundances across groups. The Sar group exhibited enrichment of <em>Christensenellaceae</em><em>_R-7_group</em>, <em>Alistipes</em>, <em>Ruminococcus</em>, <em>Odoribacter</em>, <em>Prevotellaceae</em><em>_UCG-001</em>, <em>Hungatella</em>, <em>Family_XIII_AD3011_group</em>, <em>Anaerotruncus</em>, <em>Ruminiclostridium</em>, and <em>Oxalobacter</em>, along with their high taxonomic classifications. Meanwhile, <em>Enterobacteriaceae</em>, <em>Allisonella</em>, and <em>Peptoclostridium</em> were enriched in the SO group. Feature selection via Boruta algorithm identified five and four discriminatory taxa to construct random forest models, effectively distinguishing individuals with Sar and SO from Con. Key predictors for Sar included reduced <em>Enterococcus</em>, <em>Enterobacter</em>, and <em>Hungatella</em> and increased <em>Odoribacter</em> and <em>Christensenellaceae</em><em>_R-7_group</em>. Conversely, SO was characterized by decreased <em>Enterobacter</em>, <em>Alloprevotella</em>, and <em>Enterococcus</em> and increased <em>Allisonella</em>. Five-fold cross-validation confirmed robust diagnostic efficacy, achieving AUCs of 0.860 (95 % CI: 0.786–0.996) for Sar and 0.826 (95 % CI: 0.735–0.970) for SO.</div></div><div><h3>Conclusion</h3><div>This study demonstrated that the gut microbiota of SO and Sar have distinct diversity and composition profiles. The results provide new insights into the role of gut microbiota in SO, highlighting its potential as a therapeutic target in this condition.</div></div>\",\"PeriodicalId\":10517,\"journal\":{\"name\":\"Clinical nutrition\",\"volume\":\"49 \",\"pages\":\"Pages 77-89\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical nutrition\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0261561425000986\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical nutrition","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0261561425000986","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
摘要
背景以前的证据表明,肠道菌群失调在肌肉疏松症和肌肉疏松性肥胖症(SO)的发生和发展过程中起着重要作用,但目前还缺乏支持这种关联的证据。因此,本研究旨在调查患有肌肉疏松症和肌肉疏松性肥胖症的老年人肠道微生物群的特征。方法来自中国上海一个社区队列的 1558 名老年人(年龄≥65 岁)使用 SARC-F 问卷进行了肌肉疏松症筛查,其中 351 人完成了进一步评估。根据 2019 年亚洲肌少症工作组和世界卫生组织肥胖标准,60 名参与者被分为三组:SO组(20人)、无肥胖症的肌肉疏松症组(18人)和对照组(22人)。采用 16S rRNA 测序(V3-V4 区域)分析了肠道微生物群的组成。结果在 Sar 组和 SO 组观察到肠道微生物群的多样性和组成存在显著差异。在 SO 组中,α 多样性(Chao1 和 ACE 指数)有所降低。基于非加权 Unifrac PCoA 的 Beta 多样性在三组中存在显著差异。LEfSe 分析发现,有 39 个分类群在各组间存在明显的丰度差异。Sar 组富集了 Christensenellaceae_R-7_group、Alistipes、Ruminococcus、Odoribacter、Prevotellaceae_UCG-001、Hungatella、Family_XIII_AD3011_group、Anaerotruncus、Ruminiclostridium 和 Oxalobacter,这些分类群的分类等级也较高。同时,SO 组中富含肠杆菌科、Allisonella 和肽杆菌。通过 Boruta 算法进行特征选择,确定了 5 个和 4 个具有区分性的类群,从而构建了随机森林模型,有效区分了 Sar 和 SO 与 Con 的个体。Sar的主要预测因子包括肠球菌、肠杆菌属和Hungatella减少,Odoribacter和Christensenellaceae_R-7_group增加。相反,SO 的特征是肠杆菌、Alloprevotella 和肠球菌减少,Allisonella 增加。五倍交叉验证证实了诊断的有效性,Sar 的 AUC 为 0.860(95 % CI:0.786-0.996),SO 的 AUC 为 0.826(95 % CI:0.735-0.970)。这些结果为了解肠道微生物群在 SO 中的作用提供了新的视角,突出了其作为 SO 治疗靶点的潜力。
Distinct gut microbiota signatures in older people with sarcopenic obesity and sarcopenia without obesity
Background
Previous evidence suggests that gut dysbiosis plays an important role in the development and progression of sarcopenia and sarcopenic obesity (SO), but evidence supporting this association is lacking. Thus, this study aimed to investigate the characteristics of gut microbiota in older people with sarcopenia and SO.
Methods
A total of 1558 older adults (age ≥65 years) from a community-based cohort in Shanghai, China, underwent sarcopenia screening using the SARC-F questionnaire, with 351 participants completing further assessment. On the basis of the Asian Working Group for Sarcopenia 2019 and the World Health Organization obesity criteria, 60 participants were categorized into three groups: SO (n = 20), sarcopenia without obesity (Sar, n = 18), and controls (Con, n = 22). Gut microbiota composition was analyzed using 16S rRNA sequencing (V3–V4 regions).
Results
Significant differences in the diversity and composition of the gut microbiota were observed in the Sar and SO groups. A reduction in alpha diversity (Chao1 and ACE indices) was found in the SO group. Beta diversity based on unweighted Unifrac PCoA was significantly different among the three groups. LEfSe analysis identified 39 taxa with significant differential abundances across groups. The Sar group exhibited enrichment of Christensenellaceae_R-7_group, Alistipes, Ruminococcus, Odoribacter, Prevotellaceae_UCG-001, Hungatella, Family_XIII_AD3011_group, Anaerotruncus, Ruminiclostridium, and Oxalobacter, along with their high taxonomic classifications. Meanwhile, Enterobacteriaceae, Allisonella, and Peptoclostridium were enriched in the SO group. Feature selection via Boruta algorithm identified five and four discriminatory taxa to construct random forest models, effectively distinguishing individuals with Sar and SO from Con. Key predictors for Sar included reduced Enterococcus, Enterobacter, and Hungatella and increased Odoribacter and Christensenellaceae_R-7_group. Conversely, SO was characterized by decreased Enterobacter, Alloprevotella, and Enterococcus and increased Allisonella. Five-fold cross-validation confirmed robust diagnostic efficacy, achieving AUCs of 0.860 (95 % CI: 0.786–0.996) for Sar and 0.826 (95 % CI: 0.735–0.970) for SO.
Conclusion
This study demonstrated that the gut microbiota of SO and Sar have distinct diversity and composition profiles. The results provide new insights into the role of gut microbiota in SO, highlighting its potential as a therapeutic target in this condition.
期刊介绍:
Clinical Nutrition, the official journal of ESPEN, The European Society for Clinical Nutrition and Metabolism, is an international journal providing essential scientific information on nutritional and metabolic care and the relationship between nutrition and disease both in the setting of basic science and clinical practice. Published bi-monthly, each issue combines original articles and reviews providing an invaluable reference for any specialist concerned with these fields.