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Record W1517497183 · doi:10.1161/hyp.62.suppl_1.a74

Abstract 74: The Nox4 Inhibitor GKT137831, Prevents Aldosterone Production by Adipocytes and Protects Against Adipose Tissue Inflammation and Fibrosis in Obese Mice

2013· article· en· W1517497183 on OpenAlexaff
Sarah Even, Aurélie Nguyen Dinh Cat, Francisco J. Rios, Antunes T Tayze, Ying He, Gláucia E. Callera, Andy Carswell, Carol Jenkins, Karin Jandeleit‐Dahm, Mark E. Cooper, Cédric Szyndralewiez, Patrick Page, Augusto C. Montezano, Rhian M. Touyz

Bibliographic record

VenueHypertension · 2013
Typearticle
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEndocrinologyInternal medicineNOX4AdipocyteAdipose tissueAldosteroneSirius RedFibrosisInflammationAdiponectinAdipogenesisChemistryMedicineObesityNADPH oxidaseInsulin resistanceOxidative stress

Abstract

fetched live from OpenAlex

Aldosterone (aldo) plays an important role in obesity-associated cardiovascular risk. We demonstrated that aldo is produced by adipocytes, an effect associated with increased generation of reactive oxygen species (ROS). These processes are exaggerated in obesity. The relationship between adipocyte aldosterone and ROS is unclear. We postulated that Nox4-derived ROS is important for aldo production in adipocytes and leads to a pro-inflammatory phenotype in obesity. Studies were performed in db/m (lean) and db/db (obese) mice, treated with low (20mg/kg/day) or high dose (60mg/kg/day) GKT137831 (GKT, Nox4 inhibitor, 16 weeks). Epididymal (EVAT) and perivascular (PVAT) fat were collected. Plasma and adipocyte aldo were measured by ELISA. Adipose tissue fibrosis was evaluated by picro Sirius red staining and inflammatory mediators by immunostudies. Body weight was increased in db/db mice (61.8g vs control 33.5g), with no effect of GKT. Epididymal adiposity was increased in db/db mice (0.098g vs. 0.067g, p<0.05). Plasma aldo levels in db/db (pg/mL: 518 vs. 272g) and aldo levels in culture media from db/db adipocytes were increased (pg/mL/μg RNA: 1964 vs. 388), p<0.05. All effects decreased by high dose GKT. In PVAT, CYP11B2 gene expression was increased in db/db (2.6±0.8 vs control 1.1±0.1, p<0.05), an effect blocked by Nox4 inhibition. Gene expression of adipocyte differentiation marker, AP2, was increased (3.5±1.1 vs control 1.4±0.4) while anti-inflammatory marker adiponectin was decreased (0.7±0.1 vs control 1.3±0.2, p<0.05)) in obese mice. GKT decreased AP2 levels. Adipocyte-derived TNFα was increased in db/db (4.9±1.8 vs control 1.6±0.6, p<0.05), an effect blocked by GKT. Pro-collagen I, marker of fibrosis, was increased in db/db mice (132±11 vs control 87±4, p<0.05). Sirius red staining was exaggerated in EVAT from db/db mice, and decreased by Nox4 inhibition. In conclusion, Nox4 plays a role in regulating adipocyte-derived aldosterone and promotes a pro-inflammatory and profibrotic adipose phenotype in obese db/db mice. These findings suggest that adipocyte Nox4 links hyperaldosteronism and inflammation/fibrosis in adiposity and as such may be a putative therapeutic target for obesity-associated cardiovascular damage.

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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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)0.0050.001

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 head0.014
GPT teacher head0.226
Teacher spread0.211 · 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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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