The role of gut microbiome and its metabolites in pancreatitis.

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2024-10-22 Epub Date: 2024-08-30 DOI:10.1128/msystems.00665-24
Letian Pan, Nuoming Yin, Mingyu Duan, Qixiang Mei, Yue Zeng
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Abstract

Gut microbiome plays a vital role in the intestinal ecosystem and has close association with metabolites. Due to the development of metabolomics and microbiomics, recent studies have observed that alteration of either the gut microbiome or metabolites may have effects on the progression of pancreatitis. Several new treatments based on the gut microbiome or metabolites have been studied extensively in recent years. Gut microbes, such as Bifidobacterium, Akkermansia, and Lactobacillus, and metabolites, such as short-chain fatty acids, bile acids, vitamin, hydrogen sulfide, and alcohol, have different effects on pancreatitis. Some preliminary studies about new intervention measures were based on the gut microbiome and metabolites such as diet, prebiotic, herbal medicine, and fecal microbiota transplantation. This review aims to summarize the recent advances about the gut microbiome, metabolites, and pancreatitis in order to determine the potential beneficial role of the gut microbiome and metabolites in pancreatitis.

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肠道微生物群及其代谢物在胰腺炎中的作用。
肠道微生物组在肠道生态系统中发挥着重要作用,并与代谢物密切相关。随着代谢组学和微生物组学的发展,最近的研究发现,肠道微生物组或代谢物的改变可能会对胰腺炎的进展产生影响。近年来,一些基于肠道微生物组或代谢物的新疗法得到了广泛研究。肠道微生物(如双歧杆菌、Akkermansia 和乳酸杆菌)和代谢物(如短链脂肪酸、胆汁酸、维生素、硫化氢和酒精)对胰腺炎有不同的影响。一些关于新干预措施的初步研究是基于肠道微生物组和代谢物的,如饮食、益生元、草药和粪便微生物群移植。本综述旨在总结有关肠道微生物组、代谢物和胰腺炎的最新进展,以确定肠道微生物组和代谢物在胰腺炎中的潜在有益作用。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
期刊最新文献
Association of body index with fecal microbiome in children cohorts with ethnic-geographic factor interaction: accurately using a Bayesian zero-inflated negative binomial regression model. Cigarette smoke-induced disordered microbiota aggravates the severity of influenza A virus infection. Deep learning enabled integration of tumor microenvironment microbial profiles and host gene expressions for interpretable survival subtyping in diverse types of cancers. Advancing microbiome research in Māori populations: insights from recent literature exploring the gut microbiomes of underrepresented and Indigenous peoples. Pan-genome-scale metabolic modeling of Bacillus subtilis reveals functionally distinct groups.
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