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Updated: May 22, 2025

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Associations Between Soluble Cell Adhesion Molecules and Cardiovascular Comorbidities in Systemic Sclerosis:

Iván Ferraz-Amaro1,2, Zeina Ibrahim-Achi3, Antonia de Vera-González4

  • 1Division of Rheumatology, Hospital Universitario de Canarias, 38320 Tenerife, Spain.

Journal of Clinical Medicine
|March 17, 2025
PubMed

Insights

In systemic sclerosis (SSc) patients, soluble vascular cell adhesion molecule-1 (sVCAM-1) levels are linked to insulin resistance. Measuring cell adhesion molecules (CAMs) may identify SSc individuals at higher cardiovascular disease risk.

Area of Science:

  • Cardiovascular Medicine
  • Rheumatology
  • Immunology

Background:

  • Soluble cell adhesion molecules (sICAM-1, sVCAM-1, P-selectin) are linked to cardiovascular disease (CVD) in the general population.
  • Cardiovascular disease is common in systemic sclerosis (SSc).
  • Investigating adhesion molecules in SSc patients is crucial for understanding CVD comorbidities.

Purpose of the Study:

  • To explore associations between serum levels of sICAM-1, sVCAM-1, and P-selectin and cardiovascular comorbidities in SSc patients.
  • To determine if adhesion molecule levels correlate with SSc-specific manifestations and cardiometabolic parameters.

Main Methods:

  • Cross-sectional study of 81 SSc patients.
  • Clinical evaluation, serum adhesion molecule levels (sICAM-1, sVCAM-1, P-selectin), lipid profiles, insulin resistance indices, and carotid ultrasound.
  • Multivariable linear regression analyses to assess associations.

Main Results:

  • Limited associations between disease parameters and adhesion molecules; modified Rodnan skin score positively correlated with sVCAM-1.
  • Serum sVCAM-1 significantly correlated with higher insulin resistance and beta-cell function indices.
  • No significant associations found for sICAM-1 and P-selectin with most parameters.

Conclusions:

  • Serum sVCAM-1 independently correlates with insulin resistance in SSc patients.
  • Cell adhesion molecules (CAMs) assessment may identify SSc patients with increased insulin resistance.
  • CAMs could be a valuable tool for stratifying cardiovascular disease risk in SSc.

Keywords:
cardiovascular diseaseinsulin resistancesoluble cell adhesion moleculessystemic sclerosis

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