Proteomic and lipidomic biomarkers in the diagnosis and progression of inflammatory bowel disease - a review

Proteomics Clin Appl. 2023 Jan;17(1):e2200003. doi: 10.1002/prca.202200003. Epub 2022 Sep 6.

Abstract

Purpose: There is an increasing prevalence of inflammatory bowel disease (IBD) and to date, no effective treatment has been developed and the exact etiology of this disease remains unknown. Nevertheless, a growing number of proteomic and lipidomic studies have identified certain proteins and lipids which can be used successfully in patients to improve diagnoses and monitoring of treatment.

Experimental design: We have focused on the applications of proteins and lipids for IBD diagnostics, including differentiation of Crohn's disease (CD) and ulcerative colitis (UC), treatment monitoring, monitoring of clinical state, likelihood of relapse, and their potential for novel targeted treatments.

Results: Analysis of protein and lipid profiles can: improve the availability and use of diagnostic markers; improve understanding of the pathomechanisms of IBD, for example, several studies have implicated platelet dysfunction (PF4), autoimmune responses (granzyme B, perforin), and abnormal metabolism (arachidonic acid pathways); aid in monitoring patient health; and improve therapeutics (experimental phosphatidylcholine therapy has been shown to result in an improvement in intestinal condition).

Conclusions: Despite the enormous progress of proteomics and lipidomics in recent years and the development of new technologies, further research is needed to select some of the most sensitive and specific markers applicable in diagnosing and treating IBD.

Keywords: Crohn's disease; inflammatory bowel disease; lipidomic; markers; proteomic; ulcerative colitis.

Publication types

  • Review

MeSH terms

  • Biomarkers / metabolism
  • Colitis, Ulcerative* / metabolism
  • Humans
  • Inflammatory Bowel Diseases* / diagnosis
  • Inflammatory Bowel Diseases* / metabolism
  • Lipidomics
  • Lipids / therapeutic use
  • Proteomics

Substances

  • Biomarkers
  • Lipids