Integrated Metabolomics and Proteomics of Symptomatic and Early Presymptomatic States of Colitis

Elee Shimshoni, Inna Solomonov, Irit Sagi*, Veronica Ghini*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Colitis has a multifactorial pathogenesis with a strong cross-talk among microbiota, hypoxia, and tissue metabolism. Here, we aimed to characterize the molecular signature of the disease in symptomatic and presymptomatic stages of the inflammatory process at the tissue and fecal level. The study is based on two different murine models for colitis, and HR-MAS NMR on “intact” colon tissues and LC-MS/MS on colon tissue extracts were used to derive untargeted metabolomics and proteomics information, respectively. Solution NMR was used to derive metabolomic profiles of the fecal extracts. By combining metabolomic and proteomic analyses of the tissues, we found increased anaerobic glycolysis, accompanied by an altered citric acid cycle and oxidative phosphorylation in inflamed colons; these changes associate with inflammation-induced hypoxia taking place in colon tissues. Different colitis states were also characterized by significantly different metabolomic profiles of fecal extracts, attributable to both the dysbiosis characteristic of colitis as well as the dysregulated tissue metabolism. Strong and distinctive tissue and fecal metabolomic signatures can be detected before the onset of symptoms. Therefore, untargeted metabolomics of tissues and fecal extracts provides a comprehensive picture of the changes accompanying the disease onset already at preclinical stages, highlighting the diagnostic potential of global metabolomics for inflammatory diseases.

Original languageEnglish
Pages (from-to)1420-1432
Number of pages13
JournalJournal of Proteome Research
Volume23
Issue number4
Early online date18 Mar 2023
DOIs
Publication statusPublished - 5 Apr 2024

Bibliographical note

VG acknowledges the support and the use of resources of Instruct-ERIC, a Landmark ESFRI project, and specifically the CERM/CIRMMP Italy Centre. Christopher Riccardi is acknowledged for the support in gene annotation.

Publisher Copyright:
© 2024 American Chemical Society

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • Biochemistry

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