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Record W2971855304 · doi:10.1161/hyp.74.suppl_1.p150

Abstract P150: Genes of a Brown Norway Chromosome 2 Fragment Introgressed Into Hypertensive Dahl Salt-Sensitive Background Exert Pro-Inflammatory Effects When Stimulated by a High-Salt Diet

2019· article· en· W2971855304 on OpenAlexaff
Olga Berillo, Sofiane Ouerd, Ku-Geng Huo, Asia Rehman, Chantal Richer, Daniel Sinnett, Anne E. Kwitek, Pierre Paradis, Ernesto L. Schiffrin

Bibliographic record

VenueHypertension · 2019
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineJewish General Hospital
Fundersnot available
KeywordsInflammationInternal medicineEndocrinologyBlood pressureMonocyteBiologyGene expressionGeneMolecular biologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

Background: Chromosome 2 (Chr2) introgression from normotensive Brown Norway (BN) rats into hypertensive Dahl salt-sensitive (SS) background (consomic S B 2) reduced blood pressure (BP) and vascular inflammation under normal-salt diet (NSD). We hypothesized that BN Chr2 contains anti-inflammatory genes that could reduce BP elevation and vascular inflammation in rats fed NSD and high-salt diet (HSD). Method: Four- to 6-week old male SS and congenic rats containing the BN Chr2 distal portion (S B 2a) and middle segment (S B 2b) were fed NSD or HSD (4% NaCl) for 8 weeks. We determined systolic BP (SBP) by telemetry, reactive oxygen species (ROS) generation using dihydroethidium staining, and vascular cell adhesion molecule 1 (VCAM-1), monocyte chemoattractant protein-1 (MCP-1) expression and monocyte/macrophage (MoMϕ) infiltration by immunofluorescence in aorta or perivascular fat (PVAT). RNA was extracted from aorta and used for small and total RNA sequencing and data were analyzed using a systems biology approach. Differentially expressed genes (DEGs) were identified with fold change >1.3 and fold discovery rate <0.05 and some of them were validated with RT-qPCR. Results: SS SBP was 145±2 mm Hg under NSD and 168±1 mm Hg under HSD, which was lower in S B 2a and S B 2b SBP (125±3 and 127±6, P <0.05) under NSD but similar under HSD. Examination of ROS generation, VCAM-1 and MCP-1 expression and MoMϕ infiltration revealed that S B 2a present less and more inflammation under NSD and HSD, respectively, compared to SS. DEGs were identified in S B 2a vs SS uniquely under NSD (15↑ and 8↓) and HSD (318↑ and 221↓) and under both diet (3↑ and 3↓), and in S B 2b vs SS uniquely under NSD (43↑ and 65↓) and HSD (4↑ and 7 ↓) and under both diet (3↑ and 4 ↓). DEGs encoded within BN Chr2a were uniquely identified under NSD (1↑ and 1↓) and HSD (6↑ and 1↓), and in both diets (1↑ and 1↓). Gene enrichment analysis revealed that under NSD, 2 BN Chr2a DEGs are involved in regulation of BP, and under HSD, 7 BN Chr2a DEGs in cell proliferation, cell differentiation, signal transduction and the immune system. RT-qPCR validated DEGs encoded within BN Chr2a under NSD (2) and HSD (4). Conclusions: DEGs encoded within BN Chr2a fragment are associated with anti- and pro-inflammatory effects under NSD and HSD, respectively.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.012
GPT teacher head0.239
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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