Lauren C Askew, C Anthony Gacasan, Maria E Barbian, Jaclyn Weinberg, Liping Luo, Brian S Robinson, Dean P Jones, Christopher D Scharer, Rheinallt M Jones
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引用次数: 0
Abstract
Metabolic processes within gut microbes generate bioactive metabolites that impact intestinal epithelial barrier function. Using gnotobiotic mice and mass spectrometry-based metabolomics, novel metabolites in host tissues that are of microbial origin were identified. Of those detected, it was shown that the gut microbe-generated metabolite δ-valerobetaine (δ-VB) is a potent inhibitor of l-carnitine biosynthesis and a modulator of fatty acid oxidation by mitochondria in liver cells. In the current study, the bioactivity of δ-VB toward gut epithelial barrier function was assessed. Germ-free mice are devoid of δ-VB, and administration of δ-VB to germ-free mice also induces the enrichment of transcript sets associated with gut mitochondrial respiration and fatty acid oxidation in colonic tissue. Furthermore, δ-VB induces the differential expression of genes that function in barrier function in germ-free and conventionally raised mice. Functionally, δ-VB decreased gut barrier permeability and augmented wound healing in cultured gut epithelial cells and elicited cytoprotective and prorestitutive effects in a mouse model of colonic injury. We conclude that the microbial-derived metabolite δ-VB is a modulator of gut epithelium function, and thus is a molecular target to potentially manage microbiome-host dysbiosis in intestinal health and disease.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.