Circulating Long Noncoding RNA Signatures Associate With Incident Diabetes in Older Adults: A Prospective Analysis From the VITA Cohort Study
Bibliographic record
Abstract
OBJECTIVE: Long noncoding RNAs (lncRNAs) are involved in diabetogenesis in experimental models, yet their role in humans is unclear. We investigated whether circulating lncRNAs associate with incident type 2 diabetes in older adults. RESEARCH DESIGN AND METHODS: A preselected panel of lncRNAs was measured in serum of individuals without diabetes (n = 296) from the Vienna Transdanube Aging study, a prospective community-based cohort study. Participants were followed up over 7.5 years. A second cohort of individuals with and without type 2 diabetes (n = 90) was used to validate our findings. RESULTS: Four lncRNAs (ANRIL, MIAT, RNCR3, and PLUTO) were associated with incident type 2 diabetes and linked to hemoglobin A1c trajectories throughout the 7.5-year follow-up. Similar results (for MIAT and PLUTO also in combined analysis) were obtained in the validation cohort. CONCLUSIONS: We found a set of circulating lncRNAs that independently portends incident type 2 diabetes in older adults years before disease onset.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".