Abstract 164: CYP17A1 Variant is Associated with Blood Pressure Reactivity to a Mental but not a Physical Challenge in Male Adolescents and May Be an Early Marker of Hypertension Risk
Bibliographic record
Abstract
Individuals who exhibit exaggerated blood pressure (BP) reactivity to physical and mental challenges at a young age are at increased risk of developing hypertension in adulthood. Hypertension is a complex genetic trait that is more prevalent in men than women during reproductive age. CYP17A1 is one of the best-established gene loci of hypertension. It encodes a key enzyme in the steroidogenic pathway that produces mineralocorticoids, glucocorticoids, androgens, and estrogens; as such, it may influence BP reactivity in a sex-specific manner. Here, we investigated whether CYP17A1 is associated with BP reactivity to physical and mental challenges in adolescence. In 285 male and 311 female adolescents (age 12-18 years), we measured systolic BP (SBP) and diastolic BP (DBP) beat-by-beat during a 52-minute protocol, which included a physical (10-min standing) and mental (2-min math test) challenge and we genotyped 8 tagging single nucleotide polymorphisms (SNPs) that covered the entire region of CYP17A1. Genotype-phenotype association tests were performed separately in males and females, while adjusting for age, height and initial BP. Our results showed that 6 SNPs were associated with higher SBP and DBP reactivity (p=0.003-0.0001), but only in response to mental stress and only in boys. At rs619824 , minor allele homozygotes differed from major allele homozygotes by 8.7 mm Hg of SBP (p=3x10-4) and 4.8 mm Hg of DBP (p=1x10-4) in boys, and the two groups varied only by 2.0 mm Hg of SBP (p=0.31) and 0.9 mm Hg of DBP (p=0.42) in girls. These results suggest that CYP17A1 may contribute to the development of hypertension through the regulation of the stress response and that, at least in adolescence, this effect appears to be present in males but not in females.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.005 | 0.001 |
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".