Alterations in Vagal Tone Are Associated with Changes in the Gut Microbiota of Adults with Anxiety and Depression Symptoms: Analysis of Fecal Metabolite Profiles.

IF 3.4 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Metabolites Pub Date : 2024-08-15 DOI:10.3390/metabo14080450
Laura Pasqualette, Tatiana Kelly da Silva Fidalgo, Liana Bastos Freitas-Fernandes, Gabriela Guerra Leal Souza, Luís Aureliano Imbiriba, Leandro Araujo Lobo, Eliane Volchan, Regina Maria Cavalcanti Pilotto Domingues, Ana Paula Valente, Karla Rodrigues Miranda
{"title":"Alterations in Vagal Tone Are Associated with Changes in the Gut Microbiota of Adults with Anxiety and Depression Symptoms: Analysis of Fecal Metabolite Profiles.","authors":"Laura Pasqualette, Tatiana Kelly da Silva Fidalgo, Liana Bastos Freitas-Fernandes, Gabriela Guerra Leal Souza, Luís Aureliano Imbiriba, Leandro Araujo Lobo, Eliane Volchan, Regina Maria Cavalcanti Pilotto Domingues, Ana Paula Valente, Karla Rodrigues Miranda","doi":"10.3390/metabo14080450","DOIUrl":null,"url":null,"abstract":"<p><p>Accumulating evidence suggests that interactions between the brain and gut microbiota significantly impact brain function and mental health. In the present study, we aimed to investigate whether young, healthy adults without psychiatric diagnoses exhibit differences in metabolic stool and microbiota profiles based on depression/anxiety scores and heart rate variability (HRV) parameters. Untargeted nuclear magnetic resonance-based metabolomics was used to identify fecal metabolic profiles. Results were subjected to multivariate analysis through principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), and the metabolites were identified through VIP score. Metabolites separating asymptomatic and symptomatic groups were acetate, valine, and glutamate, followed by sugar regions, glutamine, acetone, valerate, and acetoacetate. The main metabolites identified in high vagal tone (HVT) and low vagal tone (LVT) groups were acetate, valerate, and glutamate, followed by propionate and butyrate. In addition to the metabolites identified by the PLS-DA test, significant differences in aspartate, sarcosine, malate, and methionine were observed between the groups. Levels of acetoacetate were higher in both symptomatic and LVT groups. Valerate levels were significantly increased in the symptomatic group, while isovalerate, propionate, glutamate, and acetone levels were significantly increased in the LVT group. Furthermore, distinct abundance between groups was only confirmed for the Firmicutes phylum. Differences between participants with high and low vagal tone suggest that certain metabolites are involved in communication between the vagus nerve and the brain.</p>","PeriodicalId":18496,"journal":{"name":"Metabolites","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11356408/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metabolites","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.3390/metabo14080450","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Accumulating evidence suggests that interactions between the brain and gut microbiota significantly impact brain function and mental health. In the present study, we aimed to investigate whether young, healthy adults without psychiatric diagnoses exhibit differences in metabolic stool and microbiota profiles based on depression/anxiety scores and heart rate variability (HRV) parameters. Untargeted nuclear magnetic resonance-based metabolomics was used to identify fecal metabolic profiles. Results were subjected to multivariate analysis through principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), and the metabolites were identified through VIP score. Metabolites separating asymptomatic and symptomatic groups were acetate, valine, and glutamate, followed by sugar regions, glutamine, acetone, valerate, and acetoacetate. The main metabolites identified in high vagal tone (HVT) and low vagal tone (LVT) groups were acetate, valerate, and glutamate, followed by propionate and butyrate. In addition to the metabolites identified by the PLS-DA test, significant differences in aspartate, sarcosine, malate, and methionine were observed between the groups. Levels of acetoacetate were higher in both symptomatic and LVT groups. Valerate levels were significantly increased in the symptomatic group, while isovalerate, propionate, glutamate, and acetone levels were significantly increased in the LVT group. Furthermore, distinct abundance between groups was only confirmed for the Firmicutes phylum. Differences between participants with high and low vagal tone suggest that certain metabolites are involved in communication between the vagus nerve and the brain.

迷走神经张力的改变与焦虑和抑郁症状成人的肠道微生物群变化有关:粪便代谢物谱分析
越来越多的证据表明,大脑和肠道微生物群之间的相互作用会对大脑功能和心理健康产生重大影响。在本研究中,我们旨在根据抑郁/焦虑评分和心率变异性(HRV)参数,调查没有精神疾病诊断的年轻健康成年人的粪便和微生物群代谢特征是否存在差异。采用基于核磁共振的非靶向代谢组学来确定粪便代谢特征。研究结果通过主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)进行多元分析,并通过VIP评分确定代谢物。区分无症状组和有症状组的代谢物是醋酸、缬氨酸和谷氨酸,其次是糖区、谷氨酰胺、丙酮、戊酸和乙酰乙酸。高迷走神经张力组(HVT)和低迷走神经张力组(LVT)的主要代谢物是乙酸盐、戊酸盐和谷氨酸盐,其次是丙酸盐和丁酸盐。除了通过 PLS-DA 检验确定的代谢物外,还观察到各组之间的天门冬氨酸、肌氨酸、苹果酸和蛋氨酸存在显著差异。有症状组和低密度脂蛋白血症组的乙酰乙酸含量都较高。症状组的戊酸水平明显升高,而 LVT 组的异戊酸、丙酸、谷氨酸和丙酮水平明显升高。此外,只有在真菌门中各组间的丰度差异得到了证实。迷走神经张力高和迷走神经张力低的参与者之间的差异表明,某些代谢物参与了迷走神经和大脑之间的交流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Metabolites
Metabolites Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
5.70
自引率
7.30%
发文量
1070
审稿时长
17.17 days
期刊介绍: Metabolites (ISSN 2218-1989) is an international, peer-reviewed open access journal of metabolism and metabolomics. Metabolites publishes original research articles and review articles in all molecular aspects of metabolism relevant to the fields of metabolomics, metabolic biochemistry, computational and systems biology, biotechnology and medicine, with a particular focus on the biological roles of metabolites and small molecule biomarkers. Metabolites encourages scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on article length. Sufficient experimental details must be provided to enable the results to be accurately reproduced. Electronic material representing additional figures, materials and methods explanation, or supporting results and evidence can be submitted with the main manuscript as supplementary material.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信