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A Meta analysis of association between IL-1 gene polymorphisms and Beh(c)et disease susciptibility

2014· article· en· W3031689957 on OpenAlexaboutno aff
Jing Wu

Bibliographic record

VenueZhonghua shiyan yanke zazhi · 2014
Typearticle
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsnot available
Fundersnot available
KeywordsBehcet's diseaseCochrane LibraryMeta-analysisInternal medicineMedicinePathogenesisSingle-nucleotide polymorphismGastroenterologyDiseaseGenotypeGeneGeneticsBiology

Abstract

fetched live from OpenAlex

Background Interleukin (IL)-1a-889C/T,IL-1β-S11C/T,+ 3962C/T and IL-1Ra-2 are different morphology of single nucleotide of interleuki-1 (IL-1).The potential relationship of IL-1 polymorphisms with Beh(c)et disease has been studied in several populations and groups.However,study outcomes are controversial for a long duration.Objective This Meta-analysis was to determine whether the IL-1 gene polymorphisms is associated with the pathogenesis and development of Beh(c)et disease.Methods The literature of the assoiation between IL-1 polymorphisms and Beh(c)et disease was retrieved from Medline,EMBASE,Cochrane Library,Web of knowledge,Google Scholar,Wanfang and CNKI databases.All the published original articles (case-control studies) were reviewed with the deadline May 31,2013,and the languages were limited to English and Chinese.Included reports were evaluated based on Newcastle-Ottawa Scale (NOS) score.The potential influence of IL-1α-889TT gene,IL-1β-3962C,IL-1β-511T and IL-1Ra-2 polymorphisms on Beh(c)et disease were analyzed.RevMan5.0,the Cochrane collaboration software program,was used to prepare and complete this review.The effect size was assessed using fixed effect model in the index with lower heterogeneity (I2 <50%) or randomized effect model in the index with higher heterogeneity (I2>50%).Results The literature search resulted a total of 370 cases-controlled studies,and 7 studies met the included criteria,with the NOS scores ≥ 8.The total patients were 499 and normal controls were 708.Meta-analysis was performed on several populations.Overall,the polymorphisms of IL-1β-3962C allele increased the susciptibility of Beh(c)et disease (OR =1.41,95% CI:1.06-1.88,P =0.02),and IL-1α-889TT genotype reduced the risk of Beh(c)et disease (OR =0.61,95 % CI:0.40-0.92,P =0.02).However,There was no significant association between variants of IL-1β-511T allele (OR =0.84,95% CI:0.58-1.23,P=0.38) or IL-1RA-2 allele (OR =1.25,95% CI:0.50-3.14,P=0.63) and Beh(c)et disease susciptibility.Conclusions These results suggest that Beh(c)et disease is associated with the IL-1 gene polymorphisms at the locations α-889C/T and β-3962C/T.A larger sample size clinical data still are need to confirm this conclusion. Key words: Beh(c)et disease;  Interleukin-1;  Polymorphism;  Meta analysis

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.035
GPT teacher head0.283
Teacher spread0.248 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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