基因组
生物
微生物群
结直肠癌
计算生物学
鸟枪蛋白质组学
混淆
荟萃分析
生物信息学
基因
粪便
医学
癌症
遗传学
内科学
蛋白质组学
微生物学
作者
Jakob Wirbel,Paul Theodor Pyl,Ece Kartal,Konrad Zych,Alireza Kashani,Alessio Milanese,Jonas Simon Fleck,Anita Y. Voigt,Albert Pallejá,Ruby Ponnudurai,Shinichi Sunagawa,Luís Pedro Coelho,Petra Schrotz‐King,Emily Vogtmann,James E. Haber,Emma Niméus,Andrew Maltez Thomas,Paolo Manghi,Sara Gandini,Davide Serrano
出处
期刊:Nature Medicine
[Nature Portfolio]
日期:2019-04-01
卷期号:25 (4): 679-689
被引量:1049
标识
DOI:10.1038/s41591-019-0406-6
摘要
Association studies have linked microbiome alterations with many human diseases. However, they have not always reported consistent results, thereby necessitating cross-study comparisons. Here, a meta-analysis of eight geographically and technically diverse fecal shotgun metagenomic studies of colorectal cancer (CRC, n = 768), which was controlled for several confounders, identified a core set of 29 species significantly enriched in CRC metagenomes (false discovery rate (FDR) < 1 × 10−5). CRC signatures derived from single studies maintained their accuracy in other studies. By training on multiple studies, we improved detection accuracy and disease specificity for CRC. Functional analysis of CRC metagenomes revealed enriched protein and mucin catabolism genes and depleted carbohydrate degradation genes. Moreover, we inferred elevated production of secondary bile acids from CRC metagenomes, suggesting a metabolic link between cancer-associated gut microbes and a fat- and meat-rich diet. Through extensive validations, this meta-analysis firmly establishes globally generalizable, predictive taxonomic and functional microbiome CRC signatures as a basis for future diagnostics. Cross-study analysis defines fecal microbial species associated with colorectal cancer.
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