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Record W1979656721 · doi:10.4236/oji.2013.34026

The prolactin-inducible-protein (PIP): A regulatory molecule in adaptive and innate immunity

2013· article· en· W1979656721 on OpenAlexafffund
Vivake Umadat, Olivia C. Ihedioha, Robert P. C. Shiu, Jude E. Uzonna, Yvonne Myal

Bibliographic record

VenueOpen Journal of Immunology · 2013
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyInnate immune systemImmunityAcquired immune systemImmunologyImmune systemCell biology

Abstract

fetched live from OpenAlex

The Prolactin-inducible-protein (PIP)/Gross Cystic Disease Fluid Protein-15 (GCDFP-15) gene is highly expressed in salivary, lacrimal and sweat glands and the protein abundantly found in the secretions that originate from these glands; saliva, tears and sweat. PIP is thus considered to be strategically located at sites viewed as the first port of entry for invading organisms. PIP is also found over-expressed under abnormal and pathological conditions of the breast and prostate. The function of PIP has yet to be defined but it has been implicated to play a role in immunity, with respect to bacterial and viral infection, cancer and fertility. Despite such predictive functions, there is still no clear demonstration of an immunoregulatory role for PIP. In this review we will focus on accumulating evidence that suggests a role for PIP in both innate and adaptive immunity. Moreover, we will discuss recent evidence that defines a modulatory role for PIP with regards to a CD4+ T cell immune response, identifying for the first time, a critical role for PIP in effective cell-mediated immunity against an intracellular pathogen.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.349
Teacher spread0.303 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2013
Admission routes2
Has abstractyes

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