Abstract 257: Mapping of Chromosome 2 Regions Linked to Vascular Inflammation using Congenic Rats
Bibliographic record
Abstract
Background: Chromosome 2 introgression from normotensive Brown Norway rats (BN) into hypertensive Dahl salt sensitive (SS) background (consomic SB2) reduced vascular inflammation and restored Treg function. We hypothesized that the BN chromosome 2 contains genes that reduce vascular inflammation, which could be mapped using congenic rats containing different portions of BN chromosome 2 on the SS background. Methods: Twelve-to-13 week old male BN, SS, SB2, congenic (SB)A, SBB and SBE rats fed normal salt diet were studied. Systolic blood pressure (SBP) was measured by telemetry. Aortic vascular cell adhesion molecule 1 (VCAM-1) and fibronectin expression, collagen content and reactive oxygen species (ROS) production were determined. Spleen Treg (CD4 + CD25 hi ) and CD4 + CD25 - T lymphocytes were characterized and cultured. Transforming growth factor (TGF)-β, tumor necrosis factor (TNF)-α, interleukin (IL)-10, IL-17 and IL-6 were measured in culture media. Results: SS, SB2 and SBE exhibited 20 mmHg higher SBP compared to BN, SBA, and SBB ( P <0.05). Aortic and perivascular ROS production and aortic VCAM-1 expression were ≥2.7- and ~1.5-fold greater, respectively, in SS and SBB ( P <0.05) compared to BN, SB2, SBA and SBE. Aortic media collagen content was 3-fold greater in SS and 1.7-fold in SB2 and SBB ( P <0.05) compared to BN, SBA and SBE. Aortic fibronectin expression was ~1.5-fold higher in SS and SBE ( P <0.05) compared to SB2 and SBA or BN. The percentage of spleen CD4 + CD25 - cells was higher in SS, SB2 and SBE (~16%) compared to BN, SBA and SBB (~12%, <0.05). Treg percentage was lower in SBA (2%) compared to SS and SB2 (3%, P <0.05). CD4 + CD25 - from SS or SBB secreted less TNF-α, IFN-γ and IL-6 (≤141, 1428 and 13 pg/10 5 cells, respectively, P <0.05), compared to SB2 and SBE (~320, 2350 and 50 pg/10 5 cells, respectively) or BN (458, 3552 and 57 pg/10 5 cells, respectively). Treg IL-10 and IL-17 production was higher in SB2 (9597 pg/10 5 cells), and SS and SB2 (>90 pg/10 5 cells), respectively ( P <0.05), compared to congenic rats (~2540 and 23 pg/10 5 cells, respectively) or BN (2497 and 9 pg/10 5 cells). Conclusion: Some genes regulating vascular injury and inflammatory responses are contained within the fragment of BN-chromosome 2 present in congenic SBA and SBE rats.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".