Literature DB >> 15809899

Modeling the influence of APOC3, APOE, and TNF polymorphisms on the risk of antiretroviral therapy-associated lipid disorders.

Philip E Tarr1, Patrick Taffé, Gabriela Bleiber, Hansjakob Furrer, Margalida Rotger, Raquel Martinez, Bernard Hirschel, Manuel Battegay, Rainer Weber, Pietro Vernazza, Enos Bernasconi, Roger Darioli, Martin Rickenbach, Bruno Ledergerber, Amalio Telenti.   

Abstract

BACKGROUND: Single-nucleotide polymorphisms in genes involved in lipoprotein and adipocyte metabolism may explain why dyslipidemia and lipoatrophy occur in some but not all antiretroviral therapy (ART)-treated individuals.
METHODS: We evaluated the contribution of APOC3 -482C-->T, -455T-->C, and 3238C-->G; epsilon 2 and epsilon 4 alleles of APOE; and TNF -238G-->A to dyslipidemia and lipoatrophy by longitudinally modeling >2600 lipid determinations and 2328 lipoatrophy assessments in 329 ART-treated patients during a median follow-up period of 3.4 years.
RESULTS: In human immunodeficiency virus (HIV)-infected individuals, the effects of variant alleles of APOE on plasma cholesterol and triglyceride levels and of APOC3 on plasma triglyceride levels were comparable to those reported in the general population. However, when treated with ritonavir, individuals with unfavorable genotypes of APOC3 and [corrected] APOE were at risk of extreme hypertriglyceridemia. They had median plasma triglyceride levels of 7.33 mmol/L, compared with 3.08 mmol/L in the absence of ART. The net effect of the APOE*APOC3*ritonavir interaction was an increase in plasma triglyceride levels of 2.23 mmol/L. No association between TNF -238G-->A and lipoatrophy was observed.
CONCLUSIONS: Variant alleles of APOE and APOC3 contribute to an unfavorable lipid profile in patients with HIV. Interactions between genotypes and ART can lead to severe hyperlipidemia. Genetic analysis may identify patients at high risk for severe ritonavir-associated hypertriglyceridemia.

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Year:  2005        PMID: 15809899     DOI: 10.1086/429295

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  26 in total

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Journal:  World J Virol       Date:  2015-08-12

2.  Can antiretroviral therapy be tailored to each human immunodeficiency virus-infected individual? Role of pharmacogenomics.

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3.  European mitochondrial DNA haplogroups and metabolic changes during antiretroviral therapy in AIDS Clinical Trials Group Study A5142.

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Review 5.  Human genetic variability and HIV treatment response.

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6.  Genes linked to energy metabolism and immunoregulatory mechanisms are associated with subcutaneous adipose tissue distribution in HIV-infected men.

Authors:  Marguerite Ryan Irvin; Sadeep Shrestha; Yii-Der I Chen; Howard W Wiener; Talin Haritunians; Laura K Vaughan; Hemant K Tiwari; Kent D Taylor; Rebecca Scherzer; Michael S Saag; Carl Grunfeld; Jerome I Rotter; Donna K Arnett
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Review 7.  Lipid management in patients who have HIV and are receiving HIV therapy.

Authors:  Judith A Aberg
Journal:  Endocrinol Metab Clin North Am       Date:  2009-03       Impact factor: 4.741

Review 8.  Human immunodeficiency virus and highly active antiretroviral therapy-associated metabolic disorders and risk factors for cardiovascular disease.

Authors:  Erdembileg Anuurad; Alison Semrad; Lars Berglund
Journal:  Metab Syndr Relat Disord       Date:  2009-10       Impact factor: 1.894

9.  Pharmacogenomics of HIV therapy: summary of a workshop sponsored by the National Institute of Allergy and Infectious Diseases.

Authors:  David W Haas; Daniel R Kuritzkes; Marylyn D Ritchie; Shashi Amur; Brian F Gage; Gary Maartens; Dan Masys; Jacques Fellay; Elizabeth Phillips; Heather J Ribaudo; Kenneth A Freedberg; Christos Petropoulos; Teri A Manolio; Roy M Gulick; Richard Haubrich; Peter Kim; Marjorie Dehlinger; Rahel Abebe; Amalio Telenti
Journal:  HIV Clin Trials       Date:  2011 Sep-Oct

10.  Hypercholesterolemia is associated with the apolipoprotein C-III (APOC3) genotype in children receiving HAART: an eight-year retrospective study.

Authors:  Carlos A Rocco; Debora Mecikovsky; Paula Aulicino; Rosa Bologna; Luisa Sen; Andrea Mangano
Journal:  PLoS One       Date:  2012-07-25       Impact factor: 3.240

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