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Record W4252522645 · doi:10.1139/y00-052

Dietary zinc deficiency and expression of T lymphocyte signal transduction proteins

2000· article· en· W4252522645 on OpenAlexvenueno aff
Carla G. Taylor, Jeri-Anne C Giesbrecht

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2000
Typearticle
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsnot available
Fundersnot available
KeywordsImmune systemZinc deficiency (plant disorder)Signal transductionLymphocyteBiologyImmunologyPhosphorylationT lymphocyteEndocrinologyCell biology

Abstract

fetched live from OpenAlex

Impaired immune function in dietary zinc (Zn) deficiency is characterized in part by reduced lymphocyte numbers (lymphopenia) and depressed cell-mediated (T lymphocyte) immune function, however, the causative mechanisms at the molecular level have not been elucidated. This paper will focus on the role of dietary Zn in T lymphocyte signal transduction, and specifically, the early Zn-dependent steps for phosphorylation and the putative Zn-finger proteins or Zn-metalloenzymes that may be part of the molecular mechanism for explaining immune dysfunction in Zn deficiency. One of the major recent findings is that murine splenic T lymphocyte p56lckexpression is elevated in dietary Zn deficiency and caloric deficiency. Based on the known functions of p56lck, it is proposed that elevated p56lckmay contribute to altered thymocyte maturation, apoptosis, and lymphopenia in dietary Zn deficiency and other malnutrition syndromes.Key words: zinc, T lymphocytes, signal transduction, immune function.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.018
GPT teacher head0.289
Teacher spread0.271 · 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 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

Citations13
Published2000
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Physiology and PharmacologySame topicTrace Elements in HealthFrench-language works237,207