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Record W3206678984 · doi:10.15547/tjs.2021.02.008

SERUM EXPRESSION OF MICRORNA-142 IN A COHORT OF BULGARIAN PATIENTS WITH INFLAMMATORY BOWEL DISEASES

2021· article· en· W3206678984 on OpenAlexaboutno aff
Antonia Atanassova

Bibliographic record

VenueTrakia Journal of Sciences · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUlcerative colitisGastroenterologyInternal medicinemicroRNAInflammatory bowel diseaseCohortDiseaseReal-time polymerase chain reactionCrohn's diseaseCase-control studyImmunologyBiologyGene

Abstract

fetched live from OpenAlex

The study aims to assess the expression of serum miRNA-142_3p and miRNA-142_5p in IBD patients and its correlation with disease extent, activity and severity. It was performed on 35 patients with ulcerative colitis (UC), 35 patients with Crohn’s disease (CD) and 30 healthy controls. Serum miRNA-142 expression was assessed using reverse transcriptase quantitative real time PCR (RT-qPCR), and then correlated with that of a group of 30 healthy subjects. It was also correlated with disease extent and disease activity and severity indices (CDAI, Montreal classification, Partial Mayo score). The patients’ group showed mean serum miR-142_3p expression of 2.69±1.96 for CD, 1.66±0.90 for UC and 1.25±0.91 for the control group and serum miR-142_5p expression of 2.42±2.08 for CD, 1.61±1.12 for UC and 1.21±0.78 for the control group with a significant difference between groups. Conclusion: The expression of miR-142_3p and miR-142_5p was significantly higher in patients with CD compared to patients with UC and the control group.

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 score0.008
Threshold uncertainty score0.294

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 head0.004
GPT teacher head0.217
Teacher spread0.212 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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