Differential expression of miR-23a-3p/-210-3p and /-18b-5p in sudden sensorineural hearing loss patients: A North American cohort study
Bibliographic record
Abstract
Sudden sensorineural hearing loss (SSNHL) is an acquired idiopathic hearing loss in which recent studies have suggested that microRNAs (miRNAs) have a pathogenetic role. We assessed six specific miRNAs linked to SSNHL in serum samples drawn from 11 SSNHL patients and 11 age and sex matched controls. Quantitative real-time PCR Cycle threshold (Ct) values were normalized to an internal control to determine relative miRNA levels. Inter-group mean age, sex, mean or median normalized Ct values were compared using Independent Sample t, Chi-squared or Mann-Whitney U tests. The relative expression (ΔΔCt) of miR-210-3p, miR-23a-2p, miR18b-5p -2.75, -3.33, and - 1.29, corresponded to statistically different ΔCt values (Students T-test, p = 0.006; Mann-Whitney U, p = 0.001 and 0.02) and fold changes of 6.73, 10.87, and 2.45, respectively, in SSNHL patients compared with controls. No significant difference in the expression levels of miR-15a-5p, miR-143-3p, or miR-183-5p was found. This study supports consistent dysregulation of miR-210-3p/-23a-3p and - 18b-5p across different populations of SSNHL patients, suggesting that they play a key role in the pathogenesis of SSNHL.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".