Bibliographic record
Abstract
Introduction: Hypertension and osteoporosis are two age related diseases contributing an important health burdens on our aging society. We set to unveil a potential link between these two pathologies in a human cross-sectional study (CARTaGENE) and in an animal model study (the recombinant inbred strain of rats). Design and methods: CARTaGENE is constituted of 20,007 subjects, aged between 40 and 70 years. Subjects went through a three hour detailed phenotyping session that included peripheral and central blood pressure, height and bone mineral density (BMD), that were analysed in our project. Two additional cohorts were used for confirmation of the height and hypertension relationships, the Canadian Heart Health Surveys (N=23,129) and a family cohort of the Saguenay Lac St-Jean population (N=849 from 120 families). In the rat project, we carried our experiments on the recombinant inbred strains of rats (RIS); available strains were used in addition to one parental strain, the sponateously hypertensive rat (SHR). Radiotelemetry, bone scanning, oral glucose tolerance tests in addition to blood and urine biochemistry analysis were carried at 3, 6, 9 and 12 months of age in male and female rats. Results: Human data showed that hypertension is significantly associated with shorter stature in elderly; in addition we observed a significant association of arterial stiffness with an increased rate of fractures and low BMD. In the rat model we observed a differential display of hypertension, bone density and insulin resistance among strains and between sexes. A significant association between bone volume traits and chromosome X was found. Moreover, a significant interaction between chromosome 1 and X was found to be associated with trabecular number. Conclusion: Data of both our studies suggest a strong link between hypertension and low bone mineral density suggesting shared genetic determinants.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".