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宏基因组学和代谢组学方法在宿主小生境中白色念珠菌定殖研究中的应用:寻找基于微生物组的抗真菌策略的框架。

Metagenomics and metabolomics approaches in the study of Candida albicans colonization of host niches: a framework for finding microbiome-based antifungal strategies.

机构信息

Institut Pasteur, Université Paris Cité, INRAE USC2019, Unité Biologie et Pathogénicité Fongiques, Paris, France.

Institut Pasteur, Université Paris Cité, INRAE USC2019, Unité Biologie et Pathogénicité Fongiques, Paris, France; Assistance Publique des Hôpitaux de Paris (APHP), Hôpital Necker-Enfants-Malades, Unité de Parasitologie-Mycologie, Service de Microbiologie Clinique, Paris, France.

出版信息

Trends Microbiol. 2023 Dec;31(12):1276-1286. doi: 10.1016/j.tim.2023.08.002. Epub 2023 Aug 30.

DOI:10.1016/j.tim.2023.08.002
PMID:37652786
Abstract

In silico and experimental approaches have allowed an ever-growing understanding of the interactions within the microbiota. For instance, recently acquired data have increased knowledge of the mechanisms that support, in the gut and vaginal microbiota, the resistance to colonization by Candida albicans, an opportunistic fungal pathogen whose overgrowth can initiate severe infections in immunocompromised patients. Here, we review how bacteria from the microbiota interact with C. albicans. We show how recent OMICs-based pipelines, using metagenomics and/or metabolomics, have identified bacterial species and metabolites modulating C. albicans growth. We finally discuss how the combined use of cutting-edge OMICs-based and experimental approaches could provide new means to control C. albicans overgrowth within the microbiota and prevent its consequences.

摘要

通过计算和实验方法,人们对微生物组内的相互作用有了越来越深入的了解。例如,最近获得的数据增加了对肠道和阴道微生物组中支持白念珠菌定植抗性的机制的认识,白念珠菌是一种机会性真菌病原体,过度生长会导致免疫功能低下患者发生严重感染。在这里,我们回顾了微生物组中的细菌如何与白念珠菌相互作用。我们展示了如何使用宏基因组学和/或代谢组学的最新基于 OMICs 的管道来识别调节白念珠菌生长的细菌物种和代谢物。最后,我们讨论了如何结合使用最先进的基于 OMICs 的和实验方法为控制微生物组内白念珠菌过度生长并防止其后果提供新的手段。

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