Diversity-disease relationships and shared species analyses for human microbiome-associated diseases

	Diversity-disease relationships and shared species analyses for human microbiome-associated diseases
	Ma, ZS; Li, LW; Gotelli, NJ
	2019
发表期刊	ISME JOURNAL
ISSN	1751-7362
卷号	13 期号:8 页码:1911-1919
摘要	Diversity indices have been routinely computed in the study of human microbiome-associated diseases (MADs). However, it is still unclear whether there is a consistent diversity-disease relationship (DDR) for the human MADs, and whether there are consistent differences in the taxonomic composition of microbiomes sampled from healthy versus diseased individuals. Here we reanalyzed raw data and used a meta-analysis to compare the microbiome diversity and composition of healthy versus diseased individuals in 41 comparisons extracted from 27 previously published studies of human MADs. In the DDR analysis, the average effect size across studies did not differ from zero for a comparison of healthy versus diseased individuals. In 30 of 41 comparisons (73%) there was no significant difference in microbiome diversity of healthy versus diseased individuals, or of different disease classes. For the species composition analysis (shared species analysis), the effect sizes were significantly different from zero. In 33 of 41 comparisons (80%), there were fewer OTUs (operational taxonomic units) shared between healthy and diseased individuals than expected by chance, but with 49% (20 of 41 comparisons) statistically significant. These results imply that the taxonomic composition of disease-associated microbiomes is often distinct from that of healthy individuals. Because species composition changes with disease state, some microbiome OTUs may serve as potential diagnostic indicators of disease. However, the overall species diversity of human microbiomes is not a reliable indicator of disease.
收录类别	sci
语种	英语
文献类型	期刊论文
条目标识符	http://ir.kiz.ac.cn/handle/152453/13369
专题	科研部门_计算生物与医学生态学（马占山）
推荐引用方式 GB/T 7714	Ma, ZS,Li, LW,Gotelli, NJ. Diversity-disease relationships and shared species analyses for human microbiome-associated diseases[J]. ISME JOURNAL,2019,13(8):1911-1919.
APA	Ma, ZS,Li, LW,&Gotelli, NJ.(2019).Diversity-disease relationships and shared species analyses for human microbiome-associated diseases.ISME JOURNAL,13(8),1911-1919.
MLA	Ma, ZS,et al."Diversity-disease relationships and shared species analyses for human microbiome-associated diseases".ISME JOURNAL 13.8(2019):1911-1919.

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