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Record W2072643791 · doi:10.1002/eji.200636997

Adaptive immune responses fail to provide protection against genital HSV‐2 infection in the absence of IL‐15

2007· article· en· W2072643791 on OpenAlexaff
Navkiran Gill, Ali A. Ashkar

Bibliographic record

VenueEuropean Journal of Immunology · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsMcMaster UniversityHealth Sciences CentreMcMaster University Medical Centre
FundersAmgen
KeywordsBiologyAcquired immune systemImmunologyImmune systemImmunityInnate immune systemAdoptive cell transferImmunizationT cellAntibodyVirology

Abstract

fetched live from OpenAlex

IL-15 plays a crucial role in innate defense against viral infections. The role of IL-15 in the generation and function of adaptive immunity, following mucosal immunization, against genital HSV-2 has not been studied. Here, we report that immunized IL-15(-/-) mice were able to generate antibody and T cell-mediated immune responses against HSV-2, comparable to those seen in immunized B6 mice. However, immunized IL-15(-/-) mice were not protected against subsequent HSV-2 challenge, compared to B6 immunized mice, even with a ten times lower challenge dose. We then examined if the adaptive immune responses generated in the absence of IL-15 could provide protection against HSV-2 in an IL-15-positive environment. Adoptive transfer of lymphocytes from immunized IL-15(-/-) to naive mice were able to provide protection against HSV-2 challenge similar to protection with immunized cells from control mice. This suggests that the adaptive immune responses raised in the absence of IL-15 are functional in vivo. Reconstitution of the innate components, particularly IL-15, NK cells and NK cell-derived IFN-gamma, in immunized IL-15(-/-) mice restored their protective adaptive immunity against subsequent genital HSV-2 challenge. Our results clearly suggest that innate antiviral activity of IL-15 is necessary for protective adaptive immunity against genital HSV-2 infection.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.502
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.237
Teacher spread0.217 · 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

Citations17
Published2007
Admission routes1
Has abstractyes

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