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Chronic stress is associated with altered gut microbiota profile and relevant metabolites in adolescents
by
Xin, Liu
, Lu, Ma
, Shaoxiong, Zhao
, Mingwang, Shen
, Chuangchuang, Wang
, Qinze, Song
, Zihan, Guo
, Lina, Dang
, Ying, Li
, Chenghai, Yang
, Yafang, He
, Lei, Zhang
, Yuhao, Wang
, Yuexi, Gu
, Jiao, Lan
, Zelin, Cai
in
16S rRNA
/ Abundance
/ Adolescents
/ Analysis
/ Biological diversity
/ Biological Microscopy
/ Biomedical and Life Sciences
/ Body mass index
/ Body size
/ Care and treatment
/ Chronic stress
/ Composition
/ Correlation analysis
/ Diagnosis
/ Disease
/ Feces
/ Food
/ Gene sequencing
/ Gut microbiota
/ Gut-brain axis
/ Health aspects
/ Intestinal microflora
/ Life Sciences
/ Longitudinal studies
/ Mass spectrometry
/ Mental disorders
/ Mental health
/ Metabolic pathways
/ Metabolism
/ Metabolites
/ Metabolomics
/ Metagenomics
/ Microbiology
/ Microbiota
/ Microbiota (Symbiotic organisms)
/ Microorganisms
/ Mycology
/ Parasitology
/ Psychological aspects
/ Questionnaires
/ Regression analysis
/ rRNA 16S
/ Ruminococcus
/ Scientific imaging
/ Self report
/ Social aspects
/ Software
/ Stress
/ Stress in children
/ Taxonomy
/ Teenagers
/ Trinucleotide repeats
/ Virology
/ Youth
2025
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Chronic stress is associated with altered gut microbiota profile and relevant metabolites in adolescents
by
Xin, Liu
, Lu, Ma
, Shaoxiong, Zhao
, Mingwang, Shen
, Chuangchuang, Wang
, Qinze, Song
, Zihan, Guo
, Lina, Dang
, Ying, Li
, Chenghai, Yang
, Yafang, He
, Lei, Zhang
, Yuhao, Wang
, Yuexi, Gu
, Jiao, Lan
, Zelin, Cai
in
16S rRNA
/ Abundance
/ Adolescents
/ Analysis
/ Biological diversity
/ Biological Microscopy
/ Biomedical and Life Sciences
/ Body mass index
/ Body size
/ Care and treatment
/ Chronic stress
/ Composition
/ Correlation analysis
/ Diagnosis
/ Disease
/ Feces
/ Food
/ Gene sequencing
/ Gut microbiota
/ Gut-brain axis
/ Health aspects
/ Intestinal microflora
/ Life Sciences
/ Longitudinal studies
/ Mass spectrometry
/ Mental disorders
/ Mental health
/ Metabolic pathways
/ Metabolism
/ Metabolites
/ Metabolomics
/ Metagenomics
/ Microbiology
/ Microbiota
/ Microbiota (Symbiotic organisms)
/ Microorganisms
/ Mycology
/ Parasitology
/ Psychological aspects
/ Questionnaires
/ Regression analysis
/ rRNA 16S
/ Ruminococcus
/ Scientific imaging
/ Self report
/ Social aspects
/ Software
/ Stress
/ Stress in children
/ Taxonomy
/ Teenagers
/ Trinucleotide repeats
/ Virology
/ Youth
2025
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Chronic stress is associated with altered gut microbiota profile and relevant metabolites in adolescents
by
Xin, Liu
, Lu, Ma
, Shaoxiong, Zhao
, Mingwang, Shen
, Chuangchuang, Wang
, Qinze, Song
, Zihan, Guo
, Lina, Dang
, Ying, Li
, Chenghai, Yang
, Yafang, He
, Lei, Zhang
, Yuhao, Wang
, Yuexi, Gu
, Jiao, Lan
, Zelin, Cai
in
16S rRNA
/ Abundance
/ Adolescents
/ Analysis
/ Biological diversity
/ Biological Microscopy
/ Biomedical and Life Sciences
/ Body mass index
/ Body size
/ Care and treatment
/ Chronic stress
/ Composition
/ Correlation analysis
/ Diagnosis
/ Disease
/ Feces
/ Food
/ Gene sequencing
/ Gut microbiota
/ Gut-brain axis
/ Health aspects
/ Intestinal microflora
/ Life Sciences
/ Longitudinal studies
/ Mass spectrometry
/ Mental disorders
/ Mental health
/ Metabolic pathways
/ Metabolism
/ Metabolites
/ Metabolomics
/ Metagenomics
/ Microbiology
/ Microbiota
/ Microbiota (Symbiotic organisms)
/ Microorganisms
/ Mycology
/ Parasitology
/ Psychological aspects
/ Questionnaires
/ Regression analysis
/ rRNA 16S
/ Ruminococcus
/ Scientific imaging
/ Self report
/ Social aspects
/ Software
/ Stress
/ Stress in children
/ Taxonomy
/ Teenagers
/ Trinucleotide repeats
/ Virology
/ Youth
2025
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Chronic stress is associated with altered gut microbiota profile and relevant metabolites in adolescents
Journal Article
Chronic stress is associated with altered gut microbiota profile and relevant metabolites in adolescents
2025
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Overview
Background
Gut microbiota and microbiota-derived metabolites have been implicated in the regulation of stress-related diseases, yet their associations with chronic stress in adolescents remain unclear. Multi-omics studies on this topic in adolescents are still limited. This study aimed to characterize gut microbiota and metabolites in adolescents under chronic stress.
Methods
In this cross-sectional study, we assessed chronic stress in 124 adolescents aged 12–16 years using the Adolescent Life Events Scale and the Study Stress Scale. Participants were stratified by stress level into low (
n
= 42), medium (
n
= 41), and high stress (
n
= 41) groups. Fecal samples were collected from all participants for 16S rRNA gene sequencing. Subsequently, a subset of 30 adolescents with high stress and 29 low stress adolescents underwent metagenomic sequencing and untargeted metabolomics.
Results
Adolescents experiencing high-chronic stress showed lower alpha diversity, differential beta diversity, and a more complicated microbial network compared to those experiencing lower stress. Spearman’s rank correlation and Kruskal-Wallis test identified five genera with decreased abundances in high stress adolescents, including
Faecalibacterium
,
Bacteroides
,
Akkermansia
,
Lachnospiraceae unclassified
, and
Ruminococcus
(
P
fdr
<0.05). Additionally, 12 species showed decreased abundances and 5 increased abundances, and logistic regression analysis further revealed that the relative abundances of
Bifidobacterium catenulatum
,
Streptococcus suis
,
Ruminococcus sp. CAG 108
, and
Phascolarctobacterium faecium
were associated with chronic stress (
P
fdr
<0.05), after adjusting for sex, age, fruit consumption, and body mass index. We identified 21 differential metabolites, predominantly enriched in metabolic pathways based on KEGG analysis. Moreover, 19 out of these metabolites were significantly correlated with at least one of the four species significantly associated with chronic stress. These metabolites may explain health effects of species associated with chronic stress.
Conclusions
Chronic stress in adolescents is associated with altered gut microbiota composition and metabolite profiles, providing insights into possible mechanisms underlying stress-related diseases and highlighting the importance of longitudinal studies to clarify temporal and causal relationships.
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