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Heme Oxygenase‐1 Attenuates Isoproterenol‐induced Cardiac Hypertrophy in vivo

2008· article· en· W48418136 on OpenAlexafffundabout
Robert Kinobe, Jeremy A. Simpson, Keith R. Brunt, Sean R. R. Hall, Laurel L. Ballantyne, Kofo O. Ogunyankin, Chris Ward, Luis G. Melo

Bibliographic record

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsQueen's University
FundersHeart and Stroke Foundation of Canada
KeywordsHeme oxygenaseInternal medicineEndocrinologyHeart failureMedicineMuscle hypertrophyOxidative stressTransgeneIsoprenalineFibrosisGenetically modified mouseStimulationChemistryHemeEnzyme

Abstract

fetched live from OpenAlex

Heme oxygenase‐1 (HO‐1) is an oxidative stress responsive gene that is implicated in protection against many pathophysiological processes including ischemia reperfusion injury and heart failure. As elevated activity of the sympathetic nerve system is a common feature of heart failure, the present study was designed to investigate the role of HO‐1 in cardiac hypertrophy during chronic β‐adrenoceptor stimulation. Isoproterenol was administered to wild type, non‐transgenic or transgenic cardiac specific HO‐1 overexpressing (α‐MHC‐HO‐1) FVB mice for 15 or 30 days at a rate of 30 μg/g/day. Chronic isoproterenol infusion caused a significant increase in left ventricular cardiac mass in the non‐transgenic but not transgenic mice (mg/g heart to body weight ratio: sham 4.9 ± 0.4, isoproterenol 6.4 ± 1.3; and sham 5.9 ± 0.7, isoproterenol 5.8 ± 0.5 for non‐transgenic and transgenic mice, respectively). Isoproterenol‐induced cardiac hypertrophy was accompanied by an increase in ventricular end diastolic pressure (P < 0.05), myocardial fibrosis and superoxide generation as measured by NADH oxidase activity. These data suggest that HO‐1 alleviates oxidative stress and cardiac hypertrophy under excessive β‐adrenergic stimulation, and that overexpression of HO‐1 is beneficial for sympatho‐excitatory cardiac hypertrophy and failure in mice. This work was supported by the Heart and Stroke Foundation of Canada.

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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.

Opus teacher head0.025
GPT teacher head0.254
Teacher spread0.229 · 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
Published2008
Admission routes3
Has abstractyes

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