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Record W2991887382 · doi:10.1080/13813455.2019.1694039

PNPLA3 and IL 28B signature for predicting susceptibility to chronic hepatitis C infection and fibrosis progression

2019· article· en· W2991887382 on OpenAlexaff
Samar Samir Youssef, Eman Abd El Razek Abbas, R.A. Youness, Moustafa Nouh Elemeery, Amal Nasr, Sameh Seif

Bibliographic record

VenueArchives of Physiology and Biochemistry · 2019
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversité de Montréal
FundersScience and Technology Development Fund
KeywordsFibrosisGenotypeHaplotypeHepatitis C virusGenetic predispositionImmunologyInterleukin 28BSingle-nucleotide polymorphismInternal medicineBiologyMedicineGeneticsGeneVirusDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Association studies identified genetic polymorphisms as predictive risk factors of rapid fibrosis progression in chronic hepatitis C (CHC). This study aims to assess the impact of IL28B rs8099917 polymorphism on CHC genotype 4 (G4) susceptibility and liver fibrosis progression individually; and in combination with PNPLA3 rs738409. PATIENTS AND METHODS: IL28B rs8099917 and PNPLA3 rs738409 were genotyped in 150 Egyptian CHC patients and 175 healthy controls using real-time PCR. RESULTS: = .013). The haplotype CC -GG (PNPLA3-IL28B) is considered a high-risk signature for susceptibility to CHC infection. Similarly, GG-GG (PNPLA3-IL28B) is considered a high-risk signature for higher degree of fibrosis. CONCLUSION: IL28B rs8099917 and PNPLA3 rs738409 introduce genetic signature to identify patients at higher risk for CHC susceptibility and fibrosis progression in CHC G4.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.329

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 head0.007
GPT teacher head0.292
Teacher spread0.284 · 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 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

Citations18
Published2019
Admission routes1
Has abstractyes

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