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时间分辨多组学阐明了感染过程中宿主和肠道微生物的相互作用。

Time-Resolved Multiomics Illustrates Host and Gut Microbe Interactions during Infection.

作者信息

Kim Yongseok, Kokkinias Katherine, Sabag-Daigle Anice, Leleiwi Ikaia, Borton Mikayla, Shaffer Michael, Baniasad Maryam, Daly Rebecca, Ahmer Brian M M, Wrighton Kelly C, Wysocki Vicki H

机构信息

Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.

Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado 80523, United States.

出版信息

J Proteome Res. 2024 Nov 1;23(11):4864-4877. doi: 10.1021/acs.jproteome.4c00172. Epub 2024 Oct 7.

Abstract

infection, also known as , is one of the most common food-borne illnesses. infection can trigger host defensive functions, including an inflammatory response. The provoked-host inflammatory response has a significant impact on the bacterial population in the gut. In addition, competes with other gut microorganisms for survival and growth within the host. Compositional and functional alterations in gut bacteria occur because of the host immunological response and competition between and the gut microbiome. Host variation and the inherent complexity of the gut microbial community make understanding commensal and pathogen interactions particularly difficult during a infection. Here, we present metabolomics and lipidomics analyses along with the 16S rRNA sequence analysis, revealing a comprehensive view of the metabolic interactions between the host and gut microbiota during infection in a CBA/J mouse model. We found that different metabolic pathways were altered over the four investigated time points of infection (days -2, +2, +6, and +13). Furthermore, metatranscriptomics analysis integrated with metabolomics and lipidomics analysis facilitated an understanding of the heterogeneous response of mice, depending on the degree of dysbiosis.

摘要

感染,也被称为,是最常见的食源性疾病之一。感染可以引发宿主防御功能,包括炎症反应。宿主引发的炎症反应对肠道中的细菌种群有重大影响。此外,在宿主中与其他肠道微生物竞争生存和生长。由于宿主免疫反应和与肠道微生物组之间的竞争,肠道细菌的组成和功能发生改变。宿主的变异和肠道微生物群落的固有复杂性使得在感染期间理解共生和病原体相互作用特别困难。在这里,我们进行了代谢组学和脂质组学分析以及 16S rRNA 序列分析,揭示了在 CBA/J 小鼠模型中感染期间宿主和肠道微生物群之间代谢相互作用的全面视图。我们发现,在感染的四个研究时间点(-2、+2、+6 和+13 天)中,不同的代谢途径发生了改变。此外,与代谢组学和脂质组学分析相结合的元转录组学分析有助于理解根据菌群失调程度而不同的小鼠反应。

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