生物
基因组
细菌
微生物群
微生物学
共生
肠道菌群
队列
白色念珠菌
动物
生态学
免疫学
生物信息学
医学
内科学
基因
遗传学
作者
Bastian Seelbinder,Zoltán Lohinai,Ruben Vazquez-Uribe,Sascha Brunke,Xiuqiang Chen,Mohammad H. Mirhakkak,Silvia Lopez-Escalera,Balázs Döme,Zsolt Megyesfalvi,Judit Berta,Gabriella Gálffy,Edit Dulka,Anja Wellejus,Glen J. Weiss,Michael Bauer,Bernhard Hube,Morten Otto Alexander Sommer,Gianni Panagiotou
标识
DOI:10.1038/s41467-023-38058-8
摘要
Abstract Candida species overgrowth in the human gut is considered a prerequisite for invasive candidiasis, but our understanding of gut bacteria promoting or restricting this overgrowth is still limited. By integrating cross-sectional mycobiome and shotgun metagenomics data from the stool of 75 male and female cancer patients at risk but without systemic candidiasis, bacterial communities in high Candida samples display higher metabolic flexibility yet lower contributional diversity than those in low Candida samples. We develop machine learning models that use only bacterial taxa or functional relative abundances to predict the levels of Candida genus and species in an external validation cohort with an AUC of 78.6–81.1%. We propose a mechanism for intestinal Candida overgrowth based on an increase in lactate-producing bacteria, which coincides with a decrease in bacteria that regulate short chain fatty acid and oxygen levels. Under these conditions, the ability of Candida to harness lactate as a nutrient source may enable Candida to outcompete other fungi in the gut.
科研通智能强力驱动
Strongly Powered by AbleSci AI