Gut microbiota-derived gamma-aminobutyric acid improves host appetite by inhibiting satiety hormone secretion.

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2024-10-22 Epub Date: 2024-09-24 DOI:10.1128/msystems.01015-24
Shouren Li, Mengqi Liu, Yao Han, Cong Liu, Shixi Cao, Yalei Cui, Xiaoyan Zhu, Zhichang Wang, Boshuai Liu, Yinghua Shi
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Abstract

Globally, appetite disorders have become an increasingly prominent public health issue. While short-term appetite loss may seem relatively harmless, prolonged instances can lead to serious physical and mental damage. In recent years, numerous studies have highlighted the significant role of the "microbiota-gut-brain" axis in the regulation of feeding behavior in organisms, suggesting that targeting the gut microbiota may be a novel therapeutic strategy for appetite disorders. However, the molecular mechanisms through which the gut microbiota mediates the increase in host appetite and the causal relationship between the two remain unclear. Based on this, we conducted 16S rRNA sequencing to analyze the gut microbiota of rabbits with high and low feed intake, followed by fecal microbiota transplantation (FMT) and metabolite gavage experiments to elucidate the underlying mechanisms. Our research indicates that the high feed intake group exhibited significant enrichment of the g__Bacteroides and gamma-aminobutyric acid (GABA), and intragastric administration of GABA effectively promoted the host's feeding behavior. The underlying mechanism involves GABA derived from the gut microbiota inhibiting the secretion of satiety hormones to enhance the host's feeding behavior. Furthermore, the results of FMT suggest that differences in gut microbiota composition may be a contributing factor to varying levels of feed intake in the host. In conclusion, these findings emphasize the role of the gut microbiota-derived GABA, in increasing host feed intake, offering a new target for the treatment of appetite disorders from the perspective of gut microbiota.IMPORTANCEThe incidence of anorexia is rapidly increasing and has become a global burden. Gut microbiota can participate in the regulation of host feeding behavior, yet the molecular mechanisms through which the gut microbiota mediates the increase in host appetite and the causal relationship between them remain unclear. In this study, we utilized 16S rRNA sequencing to investigate the composition of the gut microbiota in rabbits with varying levels of feed intake and employed fecal microbiota transplantation and gastric infusion experiments with gamma-aminobutyric acid (GABA) to elucidate the potential mechanisms involved. GABA derived from the gut microbiota can effectively enhance the host's feeding behavior by inhibiting the secretion of satiety hormones. This discovery underscores the pivotal role of the gut microbiota in modulating host appetite, offering novel research avenues and therapeutic targets for appetite disorders.

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源于肠道微生物群的γ-氨基丁酸可通过抑制饱腹感激素的分泌来改善宿主的食欲。
在全球范围内,食欲失调已成为一个日益突出的公共卫生问题。虽然短期食欲不振可能看起来相对无害,但长期食欲不振会导致严重的身体和精神损害。近年来,许多研究都强调了 "微生物群-肠道-大脑 "轴在调节生物体摄食行为中的重要作用,这表明针对肠道微生物群可能是治疗食欲障碍的一种新策略。然而,肠道微生物群介导宿主食欲增加的分子机制以及两者之间的因果关系仍不清楚。基于此,我们进行了 16S rRNA 测序,分析了高采食量和低采食量兔子的肠道微生物群,然后进行了粪便微生物群移植(FMT)和代谢物灌胃实验,以阐明其潜在机制。我们的研究表明,高饲料摄入量组的g__Bacteroides和γ-氨基丁酸(GABA)显著富集,胃内给予GABA能有效促进宿主的摄食行为。其基本机制是肠道微生物群中的 GABA 可抑制饱腹感激素的分泌,从而促进宿主的摄食行为。此外,FMT 的结果表明,肠道微生物群组成的差异可能是导致宿主摄食量不同的一个因素。总之,这些发现强调了肠道微生物群衍生的 GABA 在增加宿主摄食量中的作用,为从肠道微生物群的角度治疗食欲障碍提供了新的靶点。肠道微生物群可参与宿主摄食行为的调控,但肠道微生物群介导宿主食欲增加的分子机制及其因果关系仍不清楚。在这项研究中,我们利用 16S rRNA 测序技术研究了不同采食量兔子的肠道微生物群组成,并采用粪便微生物群移植和胃γ-氨基丁酸(GABA)输注实验来阐明其中的潜在机制。从肠道微生物群中提取的 GABA 可抑制饱腹感激素的分泌,从而有效增强宿主的摄食行为。这一发现强调了肠道微生物群在调节宿主食欲方面的关键作用,为食欲障碍提供了新的研究途径和治疗目标。
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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.
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