Publications
2014
The pathway causing CD4 T-cell death in HIV-infected hosts remains poorly understood although apoptosis has been proposed as a key mechanism. We now show that caspase-3-mediated apoptosis accounts for the death of only a small fraction of CD4 T cells corresponding to those that are both activated and productively infected. The remaining over 95% of quiescent lymphoid CD4 T cells die by caspase-1-mediated pyroptosis triggered by abortive viral infection. Pyroptosis corresponds to an intensely inflammatory form of programmed cell death in which cytoplasmic contents and pro-inflammatory cytokines, including IL-1β, are released. This death pathway thus links the two signature events in HIV infection-CD4 T-cell depletion and chronic inflammation-and creates a pathogenic vicious cycle in which dying CD4 T cells release inflammatory signals that attract more cells to die. This cycle can be broken by caspase 1 inhibitors shown to be safe in humans, raising the possibility of a new class of 'anti-AIDS' therapeutics targeting the host rather than the virus.
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OBJECTIVE
HIV "elite controllers" (ECs) spontaneously control viral load, but some eventually require combination antiretroviral treatment (cART), due to a loss of viral control or a decline in CD4 T-cell counts. Here we studied the CD4 T-cell count dynamics after cART initiation among 34 ECs followed in U.S. and European cohorts, by comparison with chronically viremic patients (VIRs).
METHODS
ECs were defined as patients with at least ≥5 viral load (VL) measurements below 400 copies/mL during at least a 5-year period despite never receiving ART and were selected from the French ANRS CO18 cohort, the U.S. SCOPE cohort, the International HIV Controllers study and the European CASCADE collaboration. VIRs were selected from the ANRS COPANA cohort of recently-diagnosed (<1 year) ART-naïve HIV-1-infected adults. CD4 T-cell count dynamics after cART initiation in both groups were modelled with piecewise mixed linear models.
RESULTS
After cART initiation, CD4 T-cell counts showed a biphasic rise in VIRs with: an initial rapid increase during the first 3 months (+0.63√CD4/month), followed by +0.19√CD4/month. This first rapid phase was not observed in ECs, in whom the CD4Tc count increased steadily, at a rate similar to that of the second phase observed in VIRs. After cART initiation at a CD4 T-cell count of 300/mm(3), the estimated mean CD4 T-cell gain during the first 12 months was 139/mm(3) in VIRs and 80/mm(3) in ECs (p = 0.048).
CONCLUSIONS
cART increases CD4 T-cell counts in elite controllers, albeit less markedly than in other patients.
View on PubMed2014
OBJECTIVES
Suppressive antiretroviral therapy (ART) substantially decreases HIV transmission in clinical research settings. We sought to measure the frequency and correlates of periods of transmission risk among individuals taking ART during multiple years of observation in rural, southwestern Uganda.
DESIGN
Observational cohort study.
METHODS
We collected sexual behavior and viral load data in a Ugandan cohort of people living with HIV/AIDS from the time of ART initiation. We defined each 90-day visit as a potential transmission period if HIV-1 RNA was more than 400 copies/ml and the participant reported sexual transmission risk behavior, defined as unprotected sexual contact with at least 1 HIV-uninfected partners or partners of unknown serostatus in the prior 90 days.
RESULTS
We evaluated data from 463 individuals on ART over a median 3.5 years of observation and 5293 total study visits. During that time, over half (259, 56%) had detectable viremia or reported sexual transmission risk behavior at least once. However, only 23 (5%) had both simultaneously, at 28 (<1%) of all visits. Transmission sexual behavior was reported at 6% of visits with detectable viremia. In multivariable regression modeling, correlates of transmission risk periods included younger age, lower CD4 cell count, low household asset ownership and increased internalized stigma.
CONCLUSION
Although detectable viremia and/or sexual transmission risk behavior occurred in over half of individuals, ART reduced periods of HIV transmission risk by over 90% during up to 6 years of observation time. These findings provide further support for provision of ART, along with interventions to promote long-term adherence, to reduce HIV transmission in HIV-endemic settings.
View on PubMed2014
2014
2014
INTRODUCTION
Food insecurity is a potentially important barrier to the success of antiretroviral therapy (ART) programs in resource-limited settings. We undertook a longitudinal study in rural Uganda to estimate the associations between food insecurity and HIV treatment outcomes.
DESIGN
Longitudinal cohort study.
METHODS
Participants were from the Uganda AIDS Rural Treatment Outcomes study and were followed quarterly for blood draws and structured interviews. We measured food insecurity with the validated Household Food Insecurity Access Scale. Our primary outcomes were: ART nonadherence (adherence <90%) measured by visual analog scale; incomplete viral load suppression (>400 copies/ml); and low CD4 T-cell count (<350 cells/μl). We used generalized estimating equations to estimate the associations, adjusting for socio-demographic and clinical variables.
RESULTS
We followed 438 participants for a median of 33 months; 78.5% were food insecure at baseline. In adjusted analyses, food insecurity was associated with higher odds of ART nonadherence [adjusted odds ratio (AOR) 1.56, 95% confidence interval (CI) 1.10-2.20, P < 0.05], incomplete viral suppression (AOR 1.52, 95% CI 1.18-1.96, P < 0.01), and CD4 T-cell count less than 350 (AOR 1.47, 95% CI 1.24-1.74, P < 0.01). Adding adherence as a covariate to the latter two models removed the association between food insecurity and viral suppression, but not between food insecurity and CD4 T-cell count.
CONCLUSIONS
Food insecurity is longitudinally associated with poor HIV outcomes in rural Uganda. Intervention research is needed to determine the extent to which improved food security is causally related to improved HIV outcomes and to identify the most effective policies and programs to improve food security and health.
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