HIV Infections Clinical Trial
Official title:
Impact of Antiretroviral Therapy on Biomarkers of Inflammation Associated With Cardiovascular Risk
Cardiovascular risk appears to be linked to some degree with inflammation. HIV medications have been linked with cardiovascular risk. In this study we will be measuring levels of chemicals in the body associated with inflammation before and after starting HIV medications in patients with HIV. We hope to understand what happens to these chemicals once a patient with HIV is started on these medications to understand their role in cardiovascular risk.
With the advent of antiretroviral therapy, death due to opportunistic diseases have seen a
major decline among patients with HIV. However, several antiretroviral medications, in
particular protease inhibitors (PI), have been associated with increased cardiovascular risk
in large cohort studies. The role of inflammation in cardiovascular risk is currently being
elucidated. High sensitivity C-reactive protein (hsCRP) has been identified as a strong
independent predictor of cardiovascular disease among healthy individuals in several large
cohort studies. Other inflammatory biomarkers such as serum amyloid A (SAA) and interleukin-6
(IL-6) have also been correlated with cardiovascular risk. Among patients with HIV, studies
have revealed inappropriate immune activation with increased pro-inflammatory cytokines such
as IL-6, IL-10, interferon-γ (IFN- γ), and tumor necrosis factor-α (TNF-α). The effects of
this immune dysregulation and the impact of antiretroviral therapy on the cytokines and
biomarkers associated with cardiovascular risk remain to be delineated.
Objective: Our aims are to characterize the levels of inflammatory biomarkers at the time of
antiretroviral initiation, to define the time period over which the biomarkers change and
stabilize, and to determine if the type of antiretroviral drug class used has an impact on
the rate of alteration of these biomarkers. Given the disparate cardiovascular risk between
women and men of similar age groups, we will study the additional impact of gender on these
biomarkers. We will also explore whether there is a correlation between change of CD4
T-lymphocyte counts and the response of the biomarkers.
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