Investigation of the Diet-Gut-Muscle Axis in the Osteoporotic Fractures in Men Study.

Investigation of the Diet-Gut-Muscle Axis in the Osteoporotic Fractures in Men Study.
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DOI:
10.1007/s12603-020-1344-1
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发表时间:
2020
期刊:
The journal of nutrition, health & aging
影响因子:
--
通讯作者:
Lustgarten MS
Lustgarten MS
中科院分区:
其他
文献类型:
--
作者:
Barger K;Langsetmo L;Orwoll ES;Lustgarten MS

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研究膳食纤维密度(每100千卡消耗的纤维克数)与老年男性肠道肌肉轴之间的关系。横断面研究。访视4(2014-16)时男性骨质疏松性骨折(MrOS)队列受试者。来自MrOS研究的老年男性(平均年龄85岁)。膳食纤维密度和全身瘦体重百分比最高的男性被定义为T3 T3(n=42),而这些变量最低和中间三分位的男性分别被定义为T1 T1(n=32),T1 T3(n=24)和T3 T1(n=13)。此外,与T1 T1相比,T3 T3的身体功能指标(包括短期身体机能成套测验(SPPB)评分和握力)更高。使用16 S v4 rRNA测序定量肠道细菌丰度,并从PICRUSt的16 S数据推导细菌功能潜力。Chao 1、ACE、Shannon、Simpson和Fisher指数被用作α多样性的度量。加权和未加权的Unifrac和Bray-Curtis被用作β多样性的度量。使用年龄、体力活动评分、吸烟和药物调整的DESeq 2模型数量来鉴定T3 T3与T1 T1比较时不同的细菌和功能,但T3 T3与T1 T3或T3 T1比较时也没有差异。α多样性没有差异,但当比较T3 T3与T1 T1时,发现β多样性(未加权UniFrac,Bray-Curtis)存在显著差异。与T1 T1相比,T3 T3中已知的丁酸盐生产细菌(包括瘤胃球菌、毛螺菌和梭菌)和丁酸盐生产基因计数(KEGG ID:K 01034、K 01035)较高。这些数据表明,高纤维饮食可能会积极影响丁酸盐产生的属和基因计数,这些属和基因计数共同参与了与老年男性全身瘦体重百分比和身体功能相关的机制。未来的研究旨在测试这一假设的因果作用是有意义的。
To investigate the association between dietary fiber density (grams of fiber consumed per 100 kcal) with the gut-muscle axis in older adult men. Cross-sectional study. Osteoporotic Fractures in Men (MrOS) cohort participants at Visit 4 (2014–16). Older adult men (average age, 85y) from the MrOS study. Men who were in the highest tertiles for dietary fiber density and the percentage of whole body lean mass were defined as T3T3 (n=42), whereas men who were in the lowest and intermediate tertiles for these variables were defined as T1T1 (n=32), T1T3 (n=24), and T3T1 (n=13), respectively. Additionally, measures of physical function, including the short physical performance battery (SPPB) score and grip strength were higher in T3T3 when compared with T1T1. Gut bacterial abundance was quantified with use of 16S v4 rRNA sequencing, and the bacterial functional potential was derived from the 16S data with PICRUSt. Chao1, ACE, Shannon, Simpson, and Fisher indices were used as measures of α-diversity. Weighted and unweighted Unifrac, and Bray-Curtis were used as measures of β-diversity. Age, physical activity score, smoking, and number of medications-adjusted DESeq2 models were used to identify bacteria and functions that were different when comparing T3T3 with T1T1, but that were not also different when comparing T3T3 with T1T3 or T3T1. α-diversity was not different, but significant differences for β-diversity (unweighted UniFrac, Bray-Curtis) were identified when comparing T3T3 with T1T1. Known butyrate-producing bacteria, including Ruminococcus, Lachnospira, and Clostridia, and gene counts for butyrate production (KEGG IDs: K01034, K01035) were higher in T3T3, when compared with T1T1. These data suggest that a high-fiber diet may positively impact butyrate-producing genera and gene counts, which collectively may be involved in mechanisms related to the percentage of whole body lean mass and physical functioning in older adult men. Future studies aimed at testing the causative role of this hypothesis are of interest.
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发表时间: 2018-04-01
期刊: MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
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