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Record W1537540028 · doi:10.4049/jimmunol.0903758

Soluble IL-7Rα (sCD127) Inhibits IL-7 Activity and Is Increased in HIV Infection

2010· article· en· W1537540028 on OpenAlexafffund
Angela M. Crawley, Sylvie Faucher, Jonathan B. Angel

Bibliographic record

VenueThe Journal of Immunology · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsOttawa HospitalHealth CanadaUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsSTAT5Interleukin-7 receptorPathogenesisImmunologyRecombinant DNABiologyFunction (biology)CD8Cancer researchImmune systemPhosphorylationT cellGeneCell biologyGeneticsIL-2 receptor

Abstract

fetched live from OpenAlex

Soluble CD127 (sCD127) appears to play an important role in the immunopathogenesis of several chronic infections, multiple sclerosis, and various cancers. The function of sCD127 and whether it influences IL-7 bioavailability or activity is unknown. In this study, we demonstrated that recombinant and native sources of sCD127 significantly inhibited IL-7-mediated STAT5 and Akt phosphorylation in CD8(+) T cells. IL-7-mediated proliferation and Bcl-2 expression were similarly reduced by sCD127. In each case, native sCD127 inhibited IL-7 activity to a greater degree than rsCD127. Anti-IL-7 activity was inherent to human plasma and could be reversed by depletion of CD127, revealing for the first time the biological activity of naturally occurring sCD127. Plasma sCD127 concentrations were increased in HIV(+) individuals compared with HIV(-) controls, correlated with IL-7 levels, and remained unchanged in HIV(+) individuals following 1 y of effective antiretroviral therapy. Determining the regulation and function of sCD127 may be critical for understanding both the pathogenesis of diseases in which IL-7 likely has a role (e.g., HIV infection, cancer) and its potential impact on IL-7 as a therapeutic approach.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.002
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 head0.008
GPT teacher head0.225
Teacher spread0.218 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations88
Published2010
Admission routes2
Has abstractyes

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