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Record W1595491423 · doi:10.1113/jphysiol.2013.270538

Impairments in mitochondrial palmitoyl‐CoA respiratory kinetics that precede development of diabetic cardiomyopathy are prevented by resveratrol in ZDF rats

2014· article· en· W1595491423 on OpenAlexafffund
Marie‐Soleil Beaudoin, Christopher G. R. Perry, Alicia M. Arkell, Adrian Chabowski, Jeremy A. Simpson, David C. Wright, Graham P. Holloway

Bibliographic record

VenueThe Journal of Physiology · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsYork UniversityUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsDiabetic cardiomyopathyResveratrolInternal medicineEndocrinologyDiabetes mellitusCardiomyopathyMitochondrionVentricleMedicineReactive oxygen speciesBioenergeticsFenofibrateCardiac function curveChemistryPharmacologyHeart failureBiochemistry

Abstract

fetched live from OpenAlex

Key points Dysfunctional mitochondrial respiration may contribute to the establishment of diabetic cardiomyopathy, but this remains controversial; resveratrol, a polyphenol compound, has been shown to recover heart contractile function in rodent models of high‐fat‐diet‐induced cardiac dysfunction. Therefore, we studied mitochondrial respiratory kinetic function in ZDF rats before overt diabetes and cardiac dysfunction manifested, and determined the efficacy of resveratrol to recover potential derangements in mitochondrial bioenergetics. We show that the electron transport chain functions normally in ZDF rats, as pyruvate and ADP respiratory kinetics were normal. In contrast, in ZDF rats, we show impairments in the sensitivity of mitochondria to lipids (palmitoyl‐CoA) as well as the accumulation of reactive lipids and increased mitochondrial reactive oxygen species (ROS) emission rates. Supplementation with resveratrol improved palmitoyl‐CoA respiratory kinetics and reactive lipid profiles, and normalized mitochondrial ROS emission rates. Abstract Alterations in lipid metabolism within the heart may have a causal role in the establishment of diabetic cardiomyopathy; however, this remains equivocal. Therefore, in the current study we determined cardiac mitochondrial bioenergetics in ZDF rats before overt type 2 diabetes and diabetic cardiomyopathy developed. In addition, we utilized resveratrol, a compound previously shown to improve, prevent or reverse cardiac dysfunction in high‐fat‐fed rodents, as a tool to potentially recover dysfunctions within mitochondria. Fasting blood glucose and invasive left ventricular haemodynamic analysis confirmed the absence of type 2 diabetes and diabetic cardiomyopathy. However, fibrosis was already increased ( P < 0.05) ∼70% in ZDF rats at this early stage in disease progression. Assessments of mitochondrial ADP and pyruvate respiratory kinetics in permeabilized fibres from the left ventricle revealed normal electron transport chain function and content. In contrast, the apparent K m to palmitoyl‐CoA (P‐CoA) was increased ( P < 0.05) ∼60%, which was associated with an accumulation of intracellular triacylgycerol, diacylglycerol and ceramide species. In addition, the capacity for mitochondrial reactive oxygen species emission was increased ( P < 0.05) ∼3‐fold in ZDF rats. The provision of resveratrol reduced fibrosis, P‐CoA respiratory sensitivity, reactive lipid accumulation and mitochondrial reactive oxygen species emission rates. Altogether the current data support the supposition that a chronic dysfunction within mitochondrial lipid‐supported bioenergetics contributes to the development of diabetic cardiomyopathy, as this was present before overt diabetes or cardiac dysfunction. In addition, we show that resveratrol supplementation prevents these changes, supporting the belief that resveratrol is a potent therapeutic approach for preventing diabetic cardiomyopathy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.247
Teacher spread0.233 · 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 teacher head, 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

Citations61
Published2014
Admission routes2
Has abstractyes

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