MétaCan
Menu
← Back to cohort

Nourin miRNAs: novel biomarkers highly expressed in unstable angina patients with normal ECG and negative hs-troponin and dropped post percutaneous coronary intervention

2023· article· en· W4388600466 on OpenAlexaboutno aff
Hossam Kandil, Beshoy Yacoub, M Sadaka, Ahmed Yehia, Nashwa El‐Khazragy, Laila Ahmed Rashed, Abeer Elhadidi, Donald L. Kreutzer, Robert H. Christenson, Salwa A. Elgebaly

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineConventional PCIPercutaneous coronary interventionCardiologyChest painInternal medicineTroponin ICoronary artery diseaseUnstable anginaMyocardial infarctionAngina

Abstract

fetched live from OpenAlex

Abstract Background We recently reported that Nourin-dependent miR-137 and miR-106b can identify reversible myocardial ischemia in chest pain patients with a confirmed diagnosis of chronic stable chronic artery disease (CAD) and unstable angina (UA). These patients showed normal resting ECG and hs-cTnI below the clinical decision (<99th of URL). Normal, low-grade, baseline expression levels of Nourin miRNAs were detected in healthy subjects and in non-cardiac chest pain patients with hs-cTnI <99th URL. Purpose 1) To confirm the upregulation of Nourin miRNAs in chest pain patients with normal resting ECG and hs-cTnI < 99th URL, who are suspected of having UA; 2) whether Nourin miRNA expression levels change after relieving myocardial ischemia by PCI; and 3) whether there is an association between severity of chest of pain and Nourin miRNA expression levels prior to PCI. Methods This study enrolled 36 consecutive chest pain patients with normal resting ECGs and hs-cTnI <99th URL, from two large referral centers in Egypt. All enrolled patients had a single vessel disease with significant coronary stenosis (>70%) during diagnostic coronary angiography that was treated by PCI using standard techniques. The gene expression levels of miR-137 and miR-106b were measured in serum samples collected prior to PCI, as well as 12 hours and 24 hours post PCI. The angina class was evaluated at presentation, discharge, and after 4 weeks to verify angina relief. Results All patients (n=36) underwent successful PCI. Gene expression levels of miR-137 and miR-106b were significantly upregulated prior to PCI (mean ± SD: miR-137 = 355±150 and miR-106b =317±122) compared to healthy subjects (n=16) who showed minimal expression levels ranged from 0.615 to 1.05 (P <0.0001). Levels of both biomarkers dropped by 50% (12 hours) and 65% (24 hours) post PCI (P <0.05) (Figure 1). The expression levels of Nourin miRNAs did not associate with the Canadian class levels of angina severity. All patients were asymptomatic at discharge, while 84% remained asymptomatic after 4 weeks. Conclusions This study: 1) confirms that Nourin miR-137 and miR-106b can identify myocardial ischemia in patients presenting with unstable angina; 2) confirms that these two novel molecular biomarkers are elevated during myocardial ischemia, in the absence of myocardial injury; and 3) for the first time, we report a significant drop of Nourin miRNA expression levels post PCI, with myocardial ischemia relief.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.008
GPT teacher head0.226
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Heart Journal→Same topicMicroRNA in disease regulation→French-language works237,207→