Implications of inflammation and sex in lower extremity arterial disease

Katja Schnidrig1, Manovriti Thakur1,2, Aleksandra Tuleja1,3

  • 1Division of Angiology, Swiss Cardiovascular Center, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Insights

Inflammatory markers can predict lower extremity arterial disease (LEAD) progression and outcomes. Comprehensive profiling, including sex-specific analyses and machine learning, is crucial for tailored prevention and treatment strategies in LEAD patients.

Area of Science:

  • Vascular Medicine
  • Inflammation Biology
  • Biomarker Discovery

Background:

  • Lower extremity arterial disease (LEAD) impacts over 200 million globally, primarily due to chronic vascular inflammation.
  • The intricate relationship between inflammatory pathways, prognostic significance, and sex-specific variations in LEAD is not fully understood.

Purpose of the Study:

  • To explore the prognostic value of inflammatory markers in LEAD.
  • To investigate potential sex-specific differences in inflammatory pathways and their impact on LEAD outcomes.
  • To identify key inflammatory markers for risk stratification in LEAD.

Main Methods:

  • Review of existing literature on inflammatory markers and LEAD.
  • Analysis of established inflammatory markers (e.g., hs-CRP, fibrinogen, IL-6) and emerging parameters (e.g., neutrophil counts, clonal hematopoiesis markers).
  • Consideration of sex-specific differences in disease presentation, lesion patterns, and marker associations.

Main Results:

  • Elevated inflammatory markers (hs-CRP, fibrinogen, D-dimer, IL-6, α-defensins, soluble adhesion molecules, neutrophil counts, clonal hematopoiesis markers) are linked to LEAD onset and progression.
  • LEAD patients, particularly women, may present with more advanced disease, distinct lesion patterns, and greater functional impairment.
  • While women may have higher baseline CRP, the association between inflammatory markers and adverse outcomes can be attenuated compared to men.

Conclusions:

  • Comprehensive inflammatory profiling is essential for LEAD risk stratification.
  • Integrating sex-specific analyses, novel biomarkers, and machine learning is vital for future studies.
  • Future research should combine clinical, genomic, proteomic, and functional data for personalized LEAD prevention and treatment.
Abstract

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