Biological convergence of three human and animal model quantitative trait loci for blood pressure
Bibliographic record
Abstract
OBJECTIVES: Blood pressure (BP) is comparable among different mammalian orders, despite their evolution divergence. Because of it, fundamental mechanisms should connect humans and rodents by their shared BP physiology. We hypothesized that similar quantitative trait loci (QTLs) function in both humans and rodents in controlling BP. METHODS: We utilized inbred hypertensive Dahl salt-sensitive rats (DSS) as a functional proxy to evaluate the relevance of human genome-wide association studies (GWAS) genes in BP regulation. RESULTS: First, three DSS BP QTLs functionally captured three specific human GWAS genes. Each QTL has a major biological impact, not a miniscule effect, on BP, in causation by function. Second, noncoding single-nucleotide polymorphisms (SNPs) found in GWAS are by products of primate evolution, instead of mechanistic drivers in regulating BP, because their absence did not impact on BP of mammals. Third, a missense mutation, rather than a noncoding GWAS SNP marking it nearby, is the priority functional basis for a given QTL. Depleting such a noncoding GWAS SNP had no impact, whereas eliminating the muscarinic cholinergic receptor 3 (M3R) signaling decreased BP. Finally, epistatic modularity biologically organizes multiple QTLs with redundant functions, and is the genetic mechanism that modulates the BP homeostasis when QTLs function collectively. CONCLUSIONS: Two pathogenic pathways of hypertension biologically unify mechanisms of BP regulations for humans and their functional surrogates. The mechanism-based biology for the M3R-mediated pathway in raising BP has established M3R as a novel pathogenesis-driven target for antihypertension therapies.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".