Derivation of a Protein Risk Score for Cardiovascular Disease Among a Multiracial and Multiethnic HIV+ Cohort

Sandra E. Safo, Lillian Haine, Jason Baker, Cavan Reilly, Daniel Duprez, James D. Neaton, Mamta K. Jain, Alejandro Arenas-Pinto, Mark Polizzotto, Therese Staub

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Cardiovascular disease risk prediction models underestimate CVD risk in people living with HIV (PLWH). Our goal is to derive a risk score based on protein biomarkers that could be used to predict CVD in PLWH. METHODS AND RESULTS: In a matched case– control study, we analyzed normalized protein expression data for participants enrolled in 1 of 4 trials conducted by INSIGHT (International Network for Strategic Initiatives in Global HIV Trials). We used dimension reduction, variable selection and resampling methods, and multivariable conditional logistic regression models to determine candidate protein biomarkers and to generate a protein score for predicting CVD in PLWH. We internally validated our findings using bootstrap. A protein score that was derived from 8 proteins (including HGF [hepatocyte growth factor] and interleukin-6) was found to be associated with an increased risk of CVD after adjustment for CVD and HIV factors (odds ratio: 2.17 [95% CI: 1.58– 2.99]). The protein score improved CVD prediction when compared with predicting CVD risk using the individual proteins that comprised the protein score. Individuals with a protein score above the median score were 3.10 (95% CI, 1.83– 5.41) times more likely to develop CVD than those with a protein score below the median score. CONCLUSIONS: A panel of blood biomarkers may help identify PLWH at a high risk for developing CVD. If validated, such a score could be used in conjunction with established factors to identify CVD at-risk individuals who might benefit from aggressive risk reduction, ultimately shedding light on CVD pathogenesis in PLWH.

Original languageEnglish (US)
Article numbere027273
JournalJournal of the American Heart Association
Volume12
Issue number13
DOIs
StatePublished - Jul 4 2023

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Keywords

  • HIV
  • Olink
  • cardiovascular disease
  • protein biomarkers
  • proteomics

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

Fingerprint

Dive into the research topics of 'Derivation of a Protein Risk Score for Cardiovascular Disease Among a Multiracial and Multiethnic HIV+ Cohort'. Together they form a unique fingerprint.

Cite this