AUTHOR=Tian Yuting , Zhao Rong , Xiao Shili , Chen Lu , Cheng Yi , Meng Wei , Tang Zongyuan , Cai Yi , Xiao Zhifeng , Yi Ailin , Chen Minjia , Zhao Xuefei , Ruan Guangcong , Wei Yanling 

TITLE=Multi-omics assessment of gut microbiota in circadian rhythm disorders: a cross-sectional clinical study

JOURNAL=Frontiers in Cellular and Infection Microbiology

VOLUME=Volume 15 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/cellular-and-infection-microbiology/articles/10.3389/fcimb.2025.1524987

DOI=10.3389/fcimb.2025.1524987

ISSN=2235-2988

ABSTRACT=BackgroundThe interaction between the host and microbiota is influenced by host circadian rhythm. However, it is unknown what the changes of gut microbiota and metabolites.MethodsWe conducted a cross-sectional study (n=72) in which participants’ fecal DNA was detected by macrogenomic sequencing analysis. The feces, urine and blood were analyzed by widely targeted metabolomics analysis.ResultsPearson correlation analysis showed that most of the clinical symptoms of people with circadian rhythm disorders were moderately positively correlated with gastrointestinal symptoms. By distilling the results of multinomic analysis, we reported a variety of different species (19 species in the gut) and metabolites. In our results, the correlation of multiomics is mostly concentrated in Lachnospiraceae bacterium and Streptococcus mitis oralis pneumoniae. Bile acid-related metabolites are the most significant metabolites associated with these species.DiscussionOur study demonstrates the severity of clinical manifestations caused by circadian rhythm disorder is closely related to microbiota and metabolism. In the future, personalized interventions targeting specific microbial species or metabolites may help alleviate the physical and psychological discomfort induced by circadian rhythm disturbances.