Polymorphisms in Toll-like receptor 9 influence the... : AIDS (original) (raw)

BASIC SCIENCE: CONCISE COMMUNICATION

Polymorphisms in Toll-like receptor 9 influence the clinical course of HIV-1 infection

Bochud, Pierre-Yvesa,b; Hersberger, Marting; Taffé, Patricke,f; Bochud, Muriellef,i; Stein, Catherine Mi; Rodrigues, Stephanie Da; Calandra, Thierryb; Francioli, Patrickb,c,e; Telenti, Amaliob,d; Speck, Roberto Fh; Aderem, Alana for the Swiss HIV Cohort Study

From the aInstitute for Systems Biology, Seattle, Washington State, USA

bInfectious Diseases Service

cDivision of Hospital Preventive Medicine, Central Hospital of University Vaudois

dDivision of Virology, Institute for Microbiology, University of Lausanne

eData Center, Swiss HIV Cohort Study

fThe Institute for Social and Preventive Medicine, Lausanne

gInstitute of Clinical Chemistry

hDivision of Infectious Diseases and Hospital Epidemiology, University Hospital, Zurich, Switzerland

iDepartment of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, USA.

Received 7 August, 2006

Revised 6 October, 2006

Accepted 30 October, 2006

Correspondence to Dr Pierre-Yves Bochud, Institute for Systems Biology, 1441 North 34th St, Seattle, Washington State, USA. E-mail: [email protected]

Abstract

Background:

The clinical course of HIV-1 infection is highly variable among individuals, at least in part as a result of genetic polymorphisms in the host. Toll-like receptors (TLRs) have a key role in innate immunity and mutations in the genes encoding these receptors have been associated with increased or decreased susceptibility to infections.

Objectives:

To determine whether single-nucleotide polymorphisms (SNPs) in TLR2–4 and TLR7–9 influenced the natural course of HIV-1 infection.

Methods:

Twenty-eight SNPs in _TLR_s were analysed in HAART-naive HIV-positive patients from the Swiss HIV Cohort Study. The SNPs were detected using Sequenom technology. Haplotypes were inferred using an expectation–maximization algorithm. The CD4 T cell decline was calculated using a least-squares regression. Patients with a rapid CD4 cell decline, less than the 15th percentile, were defined as rapid progressors. The risk of rapid progression associated with SNPs was estimated using a logistic regression model. Other candidate risk factors included age, sex and risk groups (heterosexual, homosexual and intravenous drug use).

Results:

Two SNPs in TLR9 (1635A/G and +1174G/A) in linkage disequilibrium were associated with the rapid progressor phenotype: for 1635A/G, odds ratio (OR), 3.9 [95% confidence interval (CI),1.7–9.2] for GA versus AA and OR, 4.7 (95% CI,1.9–12.0) for GG versus AA (P = 0.0008).

Conclusion:

Rapid progression of HIV-1 infection was associated with TLR9 polymorphisms. Because of its potential implications for intervention strategies and vaccine developments, additional epidemiological and experimental studies are needed to confirm this association.