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Record W2004504845 · doi:10.1089/gtmb.2011.0032

Interleukin 4-590T/C Polymorphism and Susceptibility to Leprosy

2011· article· en· W2004504845 on OpenAlexaff
Degang Yang, Haihan Song, Weimin Xu, Heng Long, Chao Shi, Zhichun Jing, Weiguo Song, Bin Pei

Bibliographic record

VenueGenetic Testing and Molecular Biomarkers · 2011
Typearticle
Languageen
FieldMedicine
TopicLeprosy Research and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLeprosyMycobacterium lepraeGenotypeImmunologyOdds ratioImmune systemAlleleAllele frequencyPolymerase chain reactionBiologyGene polymorphismMedicinePolymorphism (computer science)Internal medicineGeneGenetics

Abstract

fetched live from OpenAlex

BACKGROUND: Leprosy is a chronic infectious disease caused by Mycobacterium leprae. Cell-mediated (Th1) immune response and humoral (Th2) immune response play different roles in leprosy infection. Interleukin 4 (IL-4) is a typical Th2 cytokine. It is a critical mediator of the Th1/Th2 balance. OBJECTIVE: The objective of this study is to investigate the association between IL-4 gene -590T/C polymorphism and the susceptibility to leprosy in a Chinese population. METHODS: The IL-4 variant -590T/C was detected by polymerase chain reaction-restriction fragment length polymorphism in 432 leprosy cases and 465 age-matched healthy controls. Data were analyzed using the chi-square test. RESULTS: Frequencies of the IL-4-590TC and CC genotypes and the -590C allele were significantly lower in patients with leprosy than in healthy controls (odds ratio [OR]=0.74, 95% confidence interval [CI] 0.55-0.99, p=0.044; OR=0.46, 95% CI 0.25-0.84, p=0.010; and OR=0.68, 95% CI 0.54-0.86, p=0.001, respectively). CONCLUSIONS: Our data suggest that the -590T/C polymorphism of the IL-4 gene is associated with decreased susceptibility of leprosy.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.039
GPT teacher head0.273
Teacher spread0.234 · 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 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

Citations11
Published2011
Admission routes1
Has abstractyes

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