Objectives: The aim of the study was to analyse CD4 cell count and viral load dynamics in patients undergoing antiretroviral therapy and their association with the Centers for Disease Control and Prevention (CDC) classification system.
Methods: CD4 cell count and viral load were determined in 2982 patients who were classified according to clinical and immunological CDC stages. Measurements were carried out at baseline and at the 3rd, 6th and 12th months.
Results: Clear differences in the immunological and virological responses to therapy were observed depending on the CDC stage, with better results associated with less advanced stages. There was a marked parallelism in the CD4 cell count curves of the different CDC stages over the year of follow up, in both naïve and experienced patients, indicating that the increase in CD4 cell count at each time-point was similar for all clinical and immunological CDC stages. However, as the baseline values were closely associated with CDC stage, the CD4 cell counts finally reached were clearly dependent on CDC stage. The highest virological responses were observed during the initial 3 months, particularly in naïve patients, but whereas naïve patients showed additional increases up to the 6th month experienced patients reached a plateau at the 3rd month. The CD4 increases were also higher during the initial 3 months but persisted during the year of follow-up.
Conclusion: Both clinical and immunological CDC stages at baseline are highly predictive of the immunological and virological response to therapy, a finding that could have clinical implications.
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http://dx.doi.org/10.1111/j.1468-1293.2006.00405.x | DOI Listing |
J Virol
January 2025
Institute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany.
One key determinant of HIV-1 latency reversal is the activation of the viral long terminal repeat (LTR) by cellular transcription factors such as NF-κB and AP-1. Interestingly, the activity of these two transcription factors can be modulated by glucocorticoid receptors (GRs). Furthermore, the HIV-1 genome contains multiple binding sites for GRs.
View Article and Find Full Text PDFImmunol Invest
January 2025
Department of Respiratory Medicine, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Introduction: T helper 17 (Th17) cells have a significant effect in the pathogenesis of asthma, and signal transducer and activator of transcription 3 (STAT3) pathway activation is critical for Th17 cell differentiation. Timosaponin A-III (TA3) was reported to inhibit the STAT3 pathway. Here, we investigated whether TA3 improved asthma by inhibiting the STAT3 pathway.
View Article and Find Full Text PDFJ Clin Invest
January 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Stimulator of interferon genes (STING) agonists have been developed and tested in clinical trials for their antitumor activity. However, the specific cell population(s) responsible for such STING activation-induced antitumor immunity have not been completely understood. In this study, we demonstrated that endothelial STING expression was critical for STING agonist-induced antitumor activity.
View Article and Find Full Text PDFRegulatory T cells (Tregs) are increasingly being recognized for their role in promoting tissue repair. In this issue of the JCI, Chen et al. found that Tregs at the site of bone injury contribute to bone repair.
View Article and Find Full Text PDFJ Clin Invest
January 2025
Institute for Research in Biomedicine (IRB), Bellinzona, Switzerland.
Autoimmune hepatitis (AIH) is a rare chronic inflammatory liver disease characterized by the presence of autoantibodies, including those targeting O-phosphoseryl-tRNA:selenocysteine-tRNA synthase (SepSecS), also known as soluble liver antigen (SLA). Anti-SepSecS antibodies have been associated with a more severe phenotype, suggesting a key role for the SepSecS autoantigen in AIH. To analyze the immune response to SepSecS in patients with AIH at the clonal level, we combined sensitive high-throughput screening assays with the isolation of monoclonal antibodies (mAbs) and T cell clones.
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