A multi-omics study of the association between insomnia with objective short sleep duration phenotype and high blood pressure
Bibliographic record
Abstract
STUDY OBJECTIVES: Insomnia with objective short sleep duration is associated with increased hypertension risk. We aimed to explore the mechanism underlying the association between objective short sleep duration and hypertension in patients with chronic insomnia disorder (CID) by multi-omics. METHODS: CID was defined according to International Classification of Sleep Disorders-3, and objective short sleep duration was based on the median value of total sleep time of the overall subjects during an overnight polysomnography. We used the mean values of measured nighttime and morning systolic (SBP) and diastolic blood pressure (DBP) for analysis. Serum metabolomics and fecal 16S rDNA amplicon sequencing were used to explore characteristic metabolites and analyze gut microbiota distribution, respectively. RESULTS: One hundred and three patients with CID and 70 normal sleepers were included. We found 52 objective short sleep duration insomnia phenotype (ISSD)-related serum metabolites. Among the 52 ISSD-related serum metabolites, indoxyl sulfate was positively correlated with BP after adjusting for confounding factors (SBP: β = 0.250, p = .028; DBP: β = 0.256, p = .030) in ISSD. In addition, the level of serum indoxyl sulfate was significantly correlated with the genera Prevotella 9 (r = .378, p = .027), CAG-56 (r = -.359, p = .037), Ruminiclostridium 9 (r = -.340, p = .049), and Ruminococcus 2 (r = -.356, p = .039) in ISSD. CONCLUSIONS: Our study suggests that the ISSD phenotype is associated with significant changes in serum metabolic profile, including high levels of indoxyl sulfate. The latter molecule correlates both with BP and gut microbiota in patients with the ISSD phenotype, suggesting that indoxyl sulfate may be the molecular path resulting in increased hypertension risk in this phenotype.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".