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Record W2582395582 · doi:10.1139/cjpp-2016-0332

Poly (ADP-ribose) polymerase-1 (PARP-1) in Chinese patients with Graves’ disease and Graves’ ophthalmopathy

2017· article· en· W2582395582 on OpenAlexvenueno aff
Tong Wu, Dong-run Tang, Liang Zhao, Feng-yuan Sun

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2017
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Eye Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPoly ADP ribose polymeraseGraves' diseasePolymeraseMedicineDiseaseRiboseInternal medicineMolecular biologyEndocrinologyChemistryBiologyBiochemistryEnzyme

Abstract

fetched live from OpenAlex

We aimed to evaluate the genetic variation of poly (ADP-ribose) polymerase-1 (PARP-1) as risk factor in development of Graves' disease (GD) and Graves' ophthalmopathy (GO) among Chinese individuals. Patients with confirmed diagnosis of GD or healthy individuals with no clinical symptoms of hyperthyroiditis were enrolled at the Department of Ophthalmology, Tianjin First Center Hospital, China. Genetic polymorphism was studied in plasma DNA samples of subjects by polymerase chain reaction of restriction fragment length polymorphism to confirm our hypothesis. Cytokine levels were measured routinely on serum samples of subjects by sandwich ELISA technique. Patients with GG genotype (odds ratio (OR) 95% CI = 2.25 (1.35-3.73), p = 0.002) and carriers of G allele (OR = 2.03 (1.23-3.36), p = 0.006) were at high risk of developing ophthalmopathy. Polymorphism of del/ins of nuclear factor-κB1 gene (NFkB1) gene (OR = 7.1 (2.88-17.52), p < 0.0001) and PARP-1 C410T polymorphism was found to be associated with GO (p < 0.05). Cytokine level was significantly higher in patients with GD (p < 0.05), but no significant change in cytokines level among GO patients from baseline (p > 0.05). Our study results recommended that polymorphism of PARP-1 gene is more likely responsible for development of GD in Chinese individuals. We also observed that the polymorphism of gene-related del/ins to NFkB1 in development of GO.

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 score0.005
Threshold uncertainty score0.644

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 studies0.0000.001
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 head0.010
GPT teacher head0.285
Teacher spread0.275 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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