OBJECTIVES: Viral blips are thought to represent random biological variations around a steady state of residual HIV viraemia and to lack clinical significance. We aimed to assess the association of immune activation and the occurrence of blips. METHODS: HIV-infected patients from our out-patient cohort who developed a blip after having been on fully suppressive highly active antiretroviral therapy (HAART) for at least 180 days were matched with patients without blips according to duration of complete viral suppression (CVS), age, sex and Centers for Disease Control and Prevention (CDC) stage. Frequencies of CD3(+), CD3(+) CD4(+), CD3(+) CD8(+), CD3(+) HLA-DR(+), CD4(+) CD45RA(+), CD16(+) CD56(+) CD3(-) and CD19(+) cells, as well as C-reactive protein (CRP) levels and clinical parameters, were included in conditional logistic regression models. Adherence to HAART was assessed by measuring prescribed nonnucleoside reverse transcriptase inhibitor (NNRTI) or protease inhibitor (PI) plasma levels in a sample of 57 patients. RESULTS: Eighty-two patients with viral blip were matched with 82 controls from the same cohort. The mean age was 47.2 years [standard deviation (SD) 12.1 years], 80.5% of patients were male and 42.7% had CDC stage C disease. Viral blips occurred after a median of 14 months [interquartile range (IQR) 8-34 months] of CVS. In the logistic regression, activated CD3(+) HLA-DR(+) lymphocytes [odds ratio (OR) 1.25 per 100 cells/μL; 95% confidence interval (CI) 1.02-1.54; P = 0.03] were significantly associated with blips and there was a trend for an association of longer time on HAART with blips (OR 1.31 per year; 95% CI 0.96-1.78; P = 0.09). No between-group difference regarding subtherapeutic drug levels was found (P = 0.46). CONCLUSIONS: The occurrence of viral blips after suppressive HAART was associated with elevated markers of T-cell activation. Blips may identify a subset of patients with higher immune activation and increased risk for HIV disease progression.
OBJECTIVES:Viral blips are thought to represent random biological variations around a steady state of residual HIV viraemia and to lack clinical significance. We aimed to assess the association of immune activation and the occurrence of blips. METHODS:HIV-infectedpatients from our out-patient cohort who developed a blip after having been on fully suppressive highly active antiretroviral therapy (HAART) for at least 180 days were matched with patients without blips according to duration of complete viral suppression (CVS), age, sex and Centers for Disease Control and Prevention (CDC) stage. Frequencies of CD3(+), CD3(+) CD4(+), CD3(+) CD8(+), CD3(+) HLA-DR(+), CD4(+) CD45RA(+), CD16(+) CD56(+) CD3(-) and CD19(+) cells, as well as C-reactive protein (CRP) levels and clinical parameters, were included in conditional logistic regression models. Adherence to HAART was assessed by measuring prescribed nonnucleoside reverse transcriptase inhibitor (NNRTI) or protease inhibitor (PI) plasma levels in a sample of 57 patients. RESULTS: Eighty-two patients with viral blip were matched with 82 controls from the same cohort. The mean age was 47.2 years [standard deviation (SD) 12.1 years], 80.5% of patients were male and 42.7% had CDC stage C disease. Viral blips occurred after a median of 14 months [interquartile range (IQR) 8-34 months] of CVS. In the logistic regression, activated CD3(+) HLA-DR(+) lymphocytes [odds ratio (OR) 1.25 per 100 cells/μL; 95% confidence interval (CI) 1.02-1.54; P = 0.03] were significantly associated with blips and there was a trend for an association of longer time on HAART with blips (OR 1.31 per year; 95% CI 0.96-1.78; P = 0.09). No between-group difference regarding subtherapeutic drug levels was found (P = 0.46). CONCLUSIONS: The occurrence of viral blips after suppressive HAART was associated with elevated markers of T-cell activation. Blips may identify a subset of patients with higher immune activation and increased risk for HIV disease progression.
Authors: Julie Boucau; Julien Madouasse; Georgio Kourjian; Christopher S Carlin; Daniel Wambua; Matthew J Berberich; Sylvie Le Gall Journal: J Immunol Date: 2019-04-01 Impact factor: 5.422
Authors: Sarah E Beck; Suzanne E Queen; Kenneth W Witwer; Kelly A Metcalf Pate; Lisa M Mangus; Lucio Gama; Robert J Adams; Janice E Clements; M Christine Zink; Joseph L Mankowski Journal: Eur J Pharmacol Date: 2015-03-24 Impact factor: 4.432
Authors: Marco A Lorio; Rossana Rosa; Jose F Suarez; Phillip Ruiz; Gaetano Ciancio; George W Burke; Jose F Camargo Journal: Transpl Immunol Date: 2016-06-11 Impact factor: 1.708
Authors: Erik Sörstedt; Staffan Nilsson; Anders Blaxhult; Magnus Gisslén; Leo Flamholc; Anders Sönnerborg; Aylin Yilmaz Journal: BMC Infect Dis Date: 2016-06-21 Impact factor: 3.090