Related Experiment Videos
[Relationship between T-cells subsets and prognostic markers in HIV-1-infected children]
S Resino1, J Navarro, J M Bellón
1Servicio de Inmunología. Hospital General Universitario Gregorio Marañón. Madrid.
Insights
Peripheral blood T-cell subsets correlate with viral load and CD4+ T-cell percentage in children with HIV-1. Specific subsets may help assess virologic and immunologic status in treated children.
Area of Science:
- Immunology
- Virology
- Pediatrics
Context:
- Human Immunodeficiency Virus type 1 (HIV-1) infection in children requires ongoing monitoring of viral load (VL) and CD4+ T-cell counts.
- Antiretroviral therapy (ART) is standard care, but understanding immune reconstitution is crucial.
- Peripheral blood T-cell subsets offer potential biomarkers for disease status.
Purpose:
- To investigate the relationship between specific peripheral blood T-cell subsets and key clinical markers (CD4+ T-cell percentage and VL) in HIV-1-infected children on ART.
Summary:
- Memory, activated memory, and effector T-cells (CD45RO+, CD45RA-CD62L+, HLA-DR+, CD38+) were positively associated with higher VL and negatively with CD4+ T-cell percentage.
- Naive T-cells (CD45RA+CD62L+) showed an inverse correlation, being higher with increased CD4+ T-cell percentage and lower VL.
- Specific CD8+ T-cell subsets (CD8+CD28+, CD8+CD57+) demonstrated distinct associations with VL and CD4+ T-cell counts.
Impact:
- Findings suggest that T-cell subset analysis can provide valuable insights into the virologic and immunologic status of HIV-1-infected children.
- These subsets may serve as useful indicators for monitoring treatment response and disease progression in pediatric HIV.
- This research contributes to a deeper understanding of immune dynamics in children undergoing ART for HIV-1.
Background:
To investigate the relationship between peripheral blood T-cell subsets and both CD4+ T-cell percentage and viral load (VL) in HIV-1-infected children.
Patients And Method:
We studied 50 HIV-1-infected children on antiretroviral therapy. T-cell subsets were determined by flow cytometry. The VL was quantified using standardized molecular methods.
Results:
Memory (CD45RO+), activated memory (CD45RO+HLA-DR+) and CD45RA-CD62L+ (memory cells expressing L-selectin) CD4+ and CD8+ T-cells correlated positively with the VL and negatively with the percentage of CD4+ T-cells. Inversely, naive CD4+ and CD8+ T-cells (CD45RA+CD62L+) correlated positively with the percentage of CD4+ T-cells and negatively with the VL. HLA-DR+, CD38+ or HLA-DR+CD38+CD4+ and CD8+ T-cells correlated also positively with the VL and negatively with the percentage of CD4+ T-cells (with the exception of CD4+CD38+ which did not show any association with the VL). CD8+CD28+ T-cells correlated positively with the percentage of CD4+ T-cells and negatively with the VL, whereas CD8+ CD57+ and CD8+CD28-CD57+ exhibited an opposite association.
Conclusions:
Our data suggest a relationship between the different lymphocyte subsets (memory, naïve, activated and effector T-cells) and the most commonly used markers in clinical practice, namely the viral load and the CD4+ T-cell percentage. Some of these subsets may be useful to determine the virologic and immunologic status in HIV-1-infected children.