Frontiers in Immunology (Mar 2022)

Multi-Omics Analysis Reveals Aberrant Gut-Metabolome-Immune Network in Schizophrenia

  • Yajuan Fan,
  • Yajuan Fan,
  • Yajuan Fan,
  • Yuan Gao,
  • Yuan Gao,
  • Yuan Gao,
  • Qingyan Ma,
  • Qingyan Ma,
  • Qingyan Ma,
  • Zai Yang,
  • Zai Yang,
  • Zai Yang,
  • Binbin Zhao,
  • Binbin Zhao,
  • Binbin Zhao,
  • Xiaoyan He,
  • Xiaoyan He,
  • Xiaoyan He,
  • Jian Yang,
  • Bin Yan,
  • Fengjie Gao,
  • Fengjie Gao,
  • Fengjie Gao,
  • Li Qian,
  • Li Qian,
  • Li Qian,
  • Wei Wang,
  • Wei Wang,
  • Wei Wang,
  • Feng Zhu,
  • Feng Zhu,
  • Feng Zhu,
  • Feng Zhu,
  • Xiancang Ma,
  • Xiancang Ma,
  • Xiancang Ma

DOI
https://doi.org/10.3389/fimmu.2022.812293
Journal volume & issue
Vol. 13

Abstract

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Schizophrenia (SCZ) is associated with several immune dysfunctions, including elevated levels of pro-inflammatory cytokines. Microorganisms and their metabolites have been found to regulate the immune system, and that intestinal microbiota is significantly disturbed in schizophrenic patients. To systematically investigate aberrant gut-metabolome-immune network in schizophrenia, we performed an integrative analysis of intestinal microbiota, serum metabolome, and serum inflammatory cytokines in 63 SCZ patients and 57 healthy controls using a multi-omics strategy. Eighteen differentially abundant metabolite clusters were altered in patients displayed higher cytokine levels, with a significant increase in pro-inflammatory metabolites and a significant decrease in anti-inflammatory metabolites (such as oleic acid and linolenic acid). The bacterial co-abundance groups in the gut displayed more numerous and stronger correlations with circulating metabolites than with cytokines. By integrating these data, we identified that certain bacteria might affect inflammatory cytokines by modulating host metabolites, such as amino acids and fatty acids. A random forest model was constructed based on omics data, and seven serum metabolites significantly associated with cytokines and α-diversity of intestinal microbiota were able to accurately distinguish the cases from the controls with an area under the receiver operating characteristic curve of 0.99. Our results indicated aberrant gut-metabolome-immune network in SCZ and gut microbiota may influence immune responses by regulating host metabolic processes. These findings suggest a mechanism by which microbial-derived metabolites regulated inflammatory cytokines and insights into the diagnosis and treatment of mental disorders from the microbial-immune system in the future.

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