Human gut microbiome impacts skeletal muscle mass via gut microbial synthesis of the short-chain fatty acid butyrate among healthy menopausal women.
Human gut microbiome impacts skeletal muscle mass via gut microbial synthesis of the short-chain fatty acid butyrate among healthy menopausal women.
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健康更年期女性肠道微生物组通过肠道微生物合成短链脂肪酸丁酸盐影响骨骼肌质量
DOI：
10.1002/jcsm.12788
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发表时间：
2021-12
期刊：
影响因子：
--
通讯作者：
Deng HW
中科院分区：
文献类型：
--
作者：
Lv WQ;Lin X;Shen H;Liu HM;Qiu X;Li BY;Shen WD;Ge CL;Lv FY;Shen J;Xiao HM;Deng HW
越来越多的证据表明，人类肠道微生物组在骨骼肌质量（SMM）的变化中起着重要作用。然而，人类肠道微生物组与SMM的特定因果机制关系在很大程度上仍未得到解决。了解因果机制关系可能为SMM损失的新干预措施提供基础。这项研究调查了人类肠道微生物组是否对中国社区居住的健康绝经妇女的SMM有因果影响。估计的SMM来自全身双能X线吸收测定法。我们对全基因组测序、鸟枪法宏基因组测序和血清短链脂肪酸（SCFA）以及社区居住的健康绝经期妇女（N = 482）中可用的宿主SMM测量值进行了综合分析。我们将结果与人类肠道微生物组（N = 952）和SMM性状（N = 28 330）的全基因组关联分析的汇总统计量相结合。作为因果关系的先决条件，我们使用了一种计算方案，该方案被提出来测量肠道宏基因组、代谢组和宿主性状之间的相关性，以研究人类肠道微生物组与SMM之间的关系。分别通过单样本和双样本孟德尔随机化（MR）分析，应用因果推断方法评估肠道微生物特征对SMM的潜在因果影响。在宏基因组关联分析中，SCFA丁酸盐的肠道微生物合成能力的增加与血清丁酸盐水平[斯皮尔曼相关系数（SCC）= 0.13，P = 0.02]和骨骼肌指数（SCC = 0.084，P = 0.002）显著相关。令人感兴趣的是，发现两种主要的产丁酸细菌物种都与肠道微生物合成丁酸盐的能力增加呈正相关[普氏粪杆菌（SCC = 0.25，P = 6.6 × 10−7）和Butyricimonas virosa（SCC = 0.15，P = 0.001）]和骨骼肌指数[普氏粪杆菌（SCC = 0.16，P = 6.2 × 10−4）和B. virosa（SCC = 0.17，P = 2.4 × 10−4）]。单样本MR结果显示，肠道微生物合成的SCFA丁酸盐与非肥胖瘦体重之间存在因果关系（β = 0.04，95%置信区间0.029 - 0.051，P = 0.003）。双样本MR结果进一步证实了SCFA丁酸盐的肠道微生物合成与非肥胖瘦体重之间的因果关系（β = 0.06，95%置信区间0 - 0.13，P = 0.06）。我们的研究结果可能有助于未来开发新的干预方法来预防或减轻SMM的损失。
Increasing evidence suggests that human gut microbiome plays an important role in variation of skeletal muscle mass (SMM). However, specific causal mechanistic relationship of human gut microbiome with SMM remains largely unresolved. Understanding the causal mechanistic relationship may provide a basis for novel interventions for loss of SMM. This study investigated whether human gut microbiome has a causal effect on SMM among Chinese community‐dwelling healthy menopausal women. Estimated SMM was derived from whole‐body dual‐energy X‐ray absorptiometry. We performed integrated analyses on whole‐genome sequencing, shotgun metagenomic sequencing, and serum short‐chain fatty acids (SCFAs), as well as available host SMM measurements among community‐dwelling healthy menopausal women (N = 482). We combined the results with summary statistics from genome‐wide association analyses for human gut microbiome (N = 952) and SMM traits (N = 28 330). As a prerequisite for causality, we used a computational protocol that was proposed to measure correlations among gut metagenome, metabolome, and the host trait to investigate the relationship between human gut microbiome and SMM. Causal inference methods were applied to assess the potential causal effects of gut microbial features on SMM, through one‐sample and two‐sample Mendelian randomization (MR) analyses, respectively. In metagenomic association analyses, the increased capacity for gut microbial synthesis of the SCFA butyrate was significantly associated with serum butyrate levels [Spearman correlation coefficient (SCC) = 0.13, P = 0.02] and skeletal muscle index (SCC = 0.084, P = 0.002). Of interest was the finding that two main butyrate‐producing bacterial species were both positively associated with the increased capacity for gut microbial synthesis of butyrate [ Faecalibacterium prausnitzii (SCC = 0.25, P = 6.6 × 10−7) and Butyricimonas virosa (SCC = 0.15, P = 0.001)] and for skeletal muscle index [ F. prausnitzii (SCC = 0.16, P = 6.2 × 10−4) and B. virosa (SCC = 0.17, P = 2.4 × 10−4)]. One‐sample MR results showed a causal effect between gut microbial synthesis of the SCFA butyrate and appendicular lean mass (β = 0.04, 95% confidence interval 0.029 to 0.051, P = 0.003). Two‐sample MR results further confirmed the causal effect between gut microbial synthesis of the SCFA butyrate and appendicular lean mass (β = 0.06, 95% confidence interval 0 to 0.13, P = 0.06). Our results may help the future development of novel intervention approaches for preventing or alleviating loss of SMM.
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影响因子：
2.1
作者：
Bowden J;Davey Smith G;Haycock PC;Burgess S
通讯作者：
Burgess S
DOI：
10.1126/science.aam9949
发表时间：
2017-08-11
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Byndloss MX;Olsan EE;Rivera-Chávez F;Tiffany CR;Cevallos SA;Lokken KL;Torres TP;Byndloss AJ;Faber F;Gao Y;Litvak Y;Lopez CA;Xu G;Napoli E;Giulivi C;Tsolis RM;Revzin A;Lebrilla CB;Bäumler AJ
通讯作者：
Bäumler AJ
影响因子：
5.6
作者：
Manickam R;Oh HYP;Tan CK;Paramalingam E;Wahli W
通讯作者：
Wahli W
DOI：
10.1073/pnas.0705070104
发表时间：
2007-07-17
影响因子：
11.1
作者：
Jaeger, Sibylle;Handschin, Christoph;Spiegelman, Bruce M.
通讯作者：
Spiegelman, Bruce M.
影响因子：
6.1
作者：
Moreno-Indias, Isabel;Sanchez-Alcoholado, Lidia;Isabel Queipo-Ortuno, Maria
通讯作者：
Isabel Queipo-Ortuno, Maria