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Expression of Immune Memory Markers CD8 α α and Interleukin−7 Receptor on CD8+ T Cell Subsets among HIV−1 Infected Patients.

2006· article· en· W2593373924 on OpenAlexaff
Jean Pierre Routy, François Mercier, Ahmed Galal, Med-Rachid Boulassel

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsCD38CD8ImmunologyBiologyInterleukin-7 receptorCytotoxic T cellMemory T cellImmune systemT cellMemory cellIL-2 receptorCell biologyCD34

Abstract

fetched live from OpenAlex

Abstract Evidence from animal models suggests that the expression of CD8α α homodimer on CD8+ T-cells plays a key role in the generation of long-lived memory cells. However, very little information is available in the human clinical setting. Here, we examined immunophenotypic patterns of CD8+ T-cell subsets expressing CD8α α with other markers involved in generating and maintaining memory cells such as interleukin-7 receptor (IL-7Rα ) and circulating levels of IL-7 and IL-15, in three well-defined groups of human immunodeficiency virus-1 (HIV-1)-infected individuals including aviremic (n=15), viremic (n=31) and slow-progressor (n=15). In addition, immunophenotypic patterns were correlated with immune activation markers (CD38/HLA-DR), which are known to be an important factor in HIV-1 disease pathogenesis. Cell-surface expression of CD8α α , IL-7Rα and CD38/HLA-DR on CD8+ naïve, central memory, pre-terminal and terminal effector memory T-cells was measured by eight-color flow cytometry on freshly peripheral blood samples. IL-7 and IL-15 levels were measured by ELISA and viral loads were assessed by PCR. Group differences in the CD8+ T-cell subsets expressing each antigen tested were evaluated using the unpaired nonparametric Mann Whitney U test. Correlations were determined by Spearman’s correlation tests. Compared to slow-progressor subjects, expression of CD8α α was significantly reduced in aviremic and viremic patients and this reduction occurred mainly within naïve and central memory T-cell subsets and not in effector memory compartments. In contrast, persistent antigenemia in viremic patients appeared to lead to IL-7Rα loss mainly on central and effector memory subsets and not on naive T-cells. Compared to aviremic and viremic patients, slow-progressor subjects had lower levels of circulating IL-7, normal levels of IL-15, CD8α α and IL-7Rα , and reduced activated T-cells. Overall, expression of CD8α α was not significantly related to IL-7Rα although negative associations were evidenced within all CD8+ T-cell subsets. However, in viremic patients, naïve and central memory cell subsets expressing CD8α α were positively correlated with viral load but not with CD8+ T-cell subsets expressing immune activation markers. Together, these results provide new insights into the role of CD8α α /IL-7Rα along with immune activation markers in maintaining memory populations during HIV-1 infection. The inter-relationships between these immune memory markers require further investigations, which may help understanding the mechanisms of antiviral control.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.175
Teacher spread0.171 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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