Genetic markers associated to dyslipidemia in HIV-infected individuals on HAART

Rosmeri K Lazzaretti1, Aline S Gasparotto, Marina G de M Sassi

  • 1Serviço de Cardiologia, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, 90035-903 Porto Alegre, RS, Brazil.

Thescientificworldjournal
|November 6, 2013
PubMed

Insights

Genetic factors significantly influence lipid levels in HIV patients on antiretroviral therapy (ART). Specific gene polymorphisms, including APOE and APOA5, are linked to dyslipidemia, suggesting genotyping may guide ART selection.

Area of Science:

  • Genetics
  • Cardiovascular Health
  • Infectious Diseases

Background:

  • Dyslipidemia is a common complication in HIV-infected patients undergoing antiretroviral therapy (ART).
  • Genetic predisposition may play a role in lipid level variations among these patients.

Purpose of the Study:

  • To investigate the association between single nucleotide polymorphisms (SNPs) in candidate genes and dyslipidemia in HIV-infected patients on stable ART.
  • To identify specific genetic variants that impact lipid profiles (triglycerides, LDL-C, HDL-C) in this population.

Main Methods:

  • Genotyping of 9 SNPs across 6 genes (APOB, APOA5, APOE, APOC3, SCAP, LDLR) in 614 HIV-infected patients.
  • Analysis of associations between genotypes and lipid parameters (total cholesterol, LDL-C, HDL-C, triglycerides).
  • Utilized conventional and real-time polymerase chain reaction (PCR) for SNP genotyping.

Main Results:

  • High prevalence of dyslipidemia (79%) observed in patients treated with protease inhibitors.
  • APOE genotypes (rs429358, rs7412) and APOA5 -1131T>C (rs662799) associated with triglyceride and LDL-C levels.
  • APOA5 -1131T>C (rs662799) and SCAP 2386A>G (rs12487736) linked to HDL-C levels.
  • APOB polymorphisms (rs17240441, rs693) associated with total cholesterol and LDL-C.

Conclusions:

  • Genetic factors are crucial in determining lipid levels in HIV-infected individuals.
  • The findings support the potential benefit of pre-treatment genotyping to guide the selection of personalized antiretroviral therapy (ART) regimens.
  • Further studies are warranted to explore the clinical implications of these genetic associations for ART management.

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