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Updated: Jun 16, 2026

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
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Metabolomics in systemic sclerosis.

Zuzanna Gogulska1, Zaneta Smolenska2, Jacek Turyn3

  • 1Department of Rheumatology, Clinical Immunology, Geriatrics and Internal Medicine, Medical University of Gdansk, Gdansk, Poland. zuzannagogulska@gumed.edu.pl.

Rheumatology International
|July 9, 2024
PubMed
Summary
This summary is machine-generated.

Systemic sclerosis diagnosis needs better biomarkers. Metabolomics shows promise, but current studies have inconsistent findings and poor patient descriptions, requiring further research.

Keywords:
MetabolomeMetabolomicsSystemic sclerosis

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Area of Science:

  • Autoimmune diseases
  • Metabolomics
  • Biomarker discovery

Background:

  • Systemic sclerosis is a rare autoimmune disease with severe, incurable complications.
  • Accurate and rapid diagnosis is critical for patient survival and quality of life.
  • Existing biomarkers for systemic sclerosis are insufficient for clinical needs.

Purpose of the Study:

  • To review and summarize existing metabolomic studies on systemic sclerosis.
  • To assess the current state of metabolomics in identifying systemic sclerosis biomarkers.
  • To identify limitations and suggest future research directions in the field.

Main Methods:

  • A narrative review of 11 relevant metabolomic studies was conducted.
  • Studies investigating systemic sclerosis patients and control groups were analyzed.
  • Data on identified metabolites and patient cohort descriptions were extracted.

Main Results:

  • All reviewed studies reported significant metabolic differences between systemic sclerosis patients and controls.
  • However, the specific metabolite findings were highly inconsistent across studies.
  • Most studies lacked detailed descriptions of patient cohorts and employed varied inclusion/exclusion criteria.

Conclusions:

  • Metabolomics shows potential for systemic sclerosis biomarker discovery.
  • Inconsistency in findings and methodological heterogeneity limit current applications.
  • Future research requires standardized, meticulous patient assessment for reliable biomarker identification.