Normotension in Lewis and Dahl salt-resistant rats is governed by different genes
Bibliographic record
Abstract
OBJECTIVES: Inbred rodent models simulating essential hypertension and normotension are useful tools in discovering genes controlling blood pressure (BP) homeostasis. An analysis of a F2 population made from crosses of hypertensive Dahl salt-sensitive (DSS) and normotensive Lewis rats did not detect a BP quantitative trait locus (QTL) on chromosome 7 (Chr 7). However, false negativity could not be excluded. If a BP QTL could be proven to exist, what gene(s) may be responsible for this QTL. METHODS: We first constructed reciprocal congenic strains for a Chr 7 segment and determined functional domains of prominent candidate genes. RESULTS: A congenic strain made in the DSS rat background exhibited a BP effect, indicating that a BP QTL, C7QTL, inhabits Chr 7. Contrarily, a congenic strain constructed in the Lewis rat background did not change BP, demonstrating a dependence of C7QTL on the DSS rats environment. Among the candidate genes, tachykinin 2 (Tac2), neurexophilin 4 (Nxph4) and retinol dehydrogenase 2 (Rdh2) bear nonsynonymous changes comparing DSS and Lewis rats, but are the same comparing DSS and Dahl salt-resistant (DSR) rats. In contrast, the Lewis alleles of 11-beta-hydroxylase (Cyp11b1), aldosterone synthase (Cyp11b2) and Cytochrome P-450 11B3 (Cyp11b3) are identical to those of DSS rats, but different from those of DSR rats. CONCLUSION: Thus, the failure to detect a linkage between a Chr 7 segment and BP in F2(DSS × Lewis) can be attributed to false negativity. Tac2, Nxph4 and Rdh2 are priority candidate genes for C7QTL. Lewis and DSR rats are both normotensive, but their underlying genetic determinants are different.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".