Abstract 2529: Chromosome 2 and Vascular Inflammatory Responses
Bibliographic record
Abstract
Microvascular inflammation contributes to the pathogenesis of cardiovascular disease and hypertension. The purpose of this study is to identify the contribution of chromosome 2 (chr2) to vascular inflammatory responses. We hypothesize that transfer of chr2 from normotensive rats (Brown Norway - BN) to hypertensive rats (Dahl salt-sensitive - SS), a model known as a consomic strain (SSBN2), allows recovery of the normal inflammatory response that might be altered in SS compared to BN. Results showed that SS rats exhibited a higher blood pressure than BN and SSBN2 (181±5 vs 122±12 and 154±11 mmHg respectively). Using ELISA-luminex assay, plasma cytokine levels (IL-1α, IL-1β, IL-2, IL-6, IL-10 and TNFα) were increased in SS ( P <0.001) compared to BN. SSBN2 exhibited reduced plasma IL-1α, IL-1β, IL-2 and IL-6 level compared to SS. To identify vascular smooth muscle cell (VSMC) contribution to cytokine production, the time-course of expression of cytokine mRNA and cytokine secretion in cultured VSMCs in response to angiotensin II (Ang II) was evaluated. IL-1α, IL-1β, IL-10, and TNFαproduction were not measurable in VSMCs from any strain. IL-6 production increased with AngII in a time-dependent manner in BN and SSBN2 but not in SS. Interestingly, IL-2 levels were higher ( P <0.001) in SS than in BN and SSBN2. IL-2 protein levels were not affected by AngII. These observations demonstrate that chr2 plays a role in blood pressure regulation and systemic inflammation in salt-sensitive hypertensive rats. Furthermore, secretion of IL-2 by the microvasculature in salt-sensitive hypertensive rats is modulated by chr2. In conclusion, chr2 is involved in the vascular response of IL-2, and may play an important role in vascular inflammation in salt-sensitive hypertension.
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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 | 0.000 | 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) | 0.011 | 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".