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Biomarkers and HIV-associated cardiovascular disease

Jason V Baker1, Daniel Duprez

  • 1Department of Medicine, University of Minnesota, Minneapolis, Minnesota 55415, USA. baker459@umn.edu

Current Opinion in HIV and AIDS
|October 28, 2010
PubMed

Insights

Biomarkers for inflammation and thrombosis can improve cardiovascular disease (CVD) risk assessment in people with HIV. These markers, including high-sensitivity C-reactive protein and D-dimer, predict risk and may guide prevention strategies.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Biomarker Research

Background:

  • HIV infection is linked to increased cardiovascular disease (CVD) risk.
  • Traditional CVD risk factors may not fully capture risk in HIV-positive individuals.
  • Understanding specific biomarkers is crucial for managing CVD in this population.

Purpose of the Study:

  • To review current literature on CVD biomarkers in HIV infection.
  • To focus on biomarkers associated with clinical CVD events.
  • To assess the utility of biomarkers for risk stratification and prevention.

Main Methods:

  • Literature review of recent studies.
  • Analysis of epidemiological data on HIV and CVD.
  • Evaluation of specific inflammatory, thrombotic, and lipoprotein biomarkers.

Main Results:

  • Elevated levels of inflammation markers (hs-CRP, IL-6) and thrombosis markers (D-dimer) predict CVD and mortality in HIV cohorts.
  • HIV replication appears to drive CVD risk, as indicated by increased IL-6 and D-dimer upon antiretroviral therapy interruption.
  • High-density lipoprotein particles may be more informative than other lipoproteins for CVD risk in HIV-infected individuals.
  • Data on CVD biomarker changes with antiretroviral therapy initiation are inconsistent or lacking.

Conclusions:

  • Biomarkers of inflammation and thrombosis can enhance CVD risk stratification beyond traditional factors.
  • These biomarkers may aid in evaluating CVD prevention strategies for people with HIV.
  • Further research is needed to clarify biomarker dynamics during antiretroviral therapy.
Abstract

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