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撒哈拉以南非洲和南亚育龄妇女不同的肠道微生物谱主要与饮食摄入有关。

Different Gut Microbial Profiles in Sub-Saharan African and South Asian Women of Childbearing Age Are Primarily Associated With Dietary Intakes.

作者信息

Tang Minghua, Frank Daniel N, Tshefu Antoinette, Lokangaka Adrien, Goudar Shivaprasad S, Dhaded Sangappa M, Somannavar Manjunath S, Hendricks Audrey E, Ir Diana, Robertson Charles E, Kemp Jennifer F, Lander Rebecca L, Westcott Jamie E, Hambidge K Michael, Krebs Nancy F

机构信息

Section of Nutrition, Department of Pediatrics, University of Colorado Denver, Aurora, CO, United States.

Division of Infectious Diseases, School of Medicine, University of Colorado Denver, Aurora, CO, United States.

出版信息

Front Microbiol. 2019 Aug 14;10:1848. doi: 10.3389/fmicb.2019.01848. eCollection 2019.

DOI:10.3389/fmicb.2019.01848
PMID:31474951
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6702451/
Abstract

BACKGROUND

To compare and characterize the gut microbiota in women of childbearing age from sub-Saharan Africa (the Democratic Republic of the Congo, DRC) and South Asia (India), in relation to dietary intakes.

METHODS

Women of childbearing age were recruited from rural DRC and India as part of the Women First (WF) preconception maternal nutrition trial. Findings presented include fecal 16S rRNA gene-based profiling of women in the WF trial from samples obtained at the time of randomization, prior to initiation of nutrition intervention and to conception.

RESULTS

Stool samples were collected from 217 women (DRC = 117; India = 100). Alpha diversity of the gut microbiota was higher in DRC than in India (Chao1: 91 ± 11 vs. 82 ± 12, = 6.58E-07). The gut microbial community structure was not significantly affected by any demographical or environmental variables, such as maternal BMI, education, and water source. , and were at relatively high abundance without differences between sites. was higher in India (4.95 ± 1.0%) than DRC (0.3 ± 0.1%; = 2.71E-27), as was (DRC: 0.2 ± 0.0%; India: 1.2 ± 0.1%; = 2.39E-13) and (DRC: 6.0 ± 1.7%; India: 8.4 ± 2.9%; = 6.51E-7). was higher in DRC (2.3 ± 0.7%) than in India (1.8 ± 0.4%; = 3.24E-5) and was positively associated with consumption of flesh foods. was positively associated with dairy intake in India and fish/insects in DRC. was positively associated with vitamin A-rich fruits and vegetables. Overall, these observations were consistent with India being primarily vegetarian with regular fermented dairy consumption and DRC regularly consuming animal-flesh foods.

CONCLUSION

Consumption of animal-flesh foods and fermented dairy foods were independently associated with the gut microbiota while demographic variables were not, suggesting that diet may have a stronger association with microbiota than demographic characteristics.

摘要

背景

比较并描述撒哈拉以南非洲(刚果民主共和国,DRC)和南亚(印度)育龄妇女的肠道微生物群,并探讨其与饮食摄入的关系。

方法

作为“女性优先”(WF)孕前孕产妇营养试验的一部分,从刚果民主共和国农村和印度招募育龄妇女。呈现的研究结果包括基于粪便16S rRNA基因的分析,这些分析来自WF试验中妇女在随机分组时、营养干预开始前及受孕前采集的样本。

结果

收集了217名妇女的粪便样本(刚果民主共和国 = 117名;印度 = 100名)。刚果民主共和国肠道微生物群的α多样性高于印度(Chao1指数:91 ± 11 vs. 82 ± 12,P = 6.58E - 07)。肠道微生物群落结构未受到任何人口统计学或环境变量的显著影响,如孕产妇体重指数、教育程度和水源。[具体菌种名称未给出]在两个地区的丰度相对较高且无差异。[具体菌种名称未给出]在印度(4.95 ± 1.0%)高于刚果民主共和国(0.3 ± 0.1%;P = 2.71E - 27),[具体菌种名称未给出]也是如此(刚果民主共和国:0.2 ± 0.0%;印度:1.2 ± 0.1%;P = 2.39E - 13)以及[具体菌种名称未给出](刚果民主共和国:6.0 ± 1.7%;印度:8.4 ± 2.9%;P = 6.51E - 7)。[具体菌种名称未给出]在刚果民主共和国(2.3 ± 0.7%)高于印度(1.8 ± 0.4%;P = 3.24E - 5),且与肉类食物的摄入量呈正相关。[具体菌种名称未给出]在印度与乳制品摄入量呈正相关,在刚果民主共和国与鱼类/昆虫摄入量呈正相关。[具体菌种名称未给出]与富含维生素A的水果和蔬菜呈正相关。总体而言,这些观察结果与印度主要为素食且经常食用发酵乳制品,以及刚果民主共和国经常食用动物肉类食物的情况一致。

结论

动物肉类食物和发酵乳制品的摄入与肠道微生物群独立相关,而人口统计学变量则不然,这表明饮食与微生物群的关联可能比人口统计学特征更强。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec0/6702451/7d10f48c8ccc/fmicb-10-01848-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec0/6702451/f030bbb6cabc/fmicb-10-01848-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec0/6702451/79b6f6bdbcfb/fmicb-10-01848-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec0/6702451/ffd7716c195f/fmicb-10-01848-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec0/6702451/7d10f48c8ccc/fmicb-10-01848-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec0/6702451/f030bbb6cabc/fmicb-10-01848-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec0/6702451/79b6f6bdbcfb/fmicb-10-01848-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec0/6702451/ffd7716c195f/fmicb-10-01848-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ec0/6702451/7d10f48c8ccc/fmicb-10-01848-g004.jpg

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