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Chronic Central Leptin Infusion Improves Cardiac Function in Diabetic Rats With Heart Failure

2017· article· en· W4389019781 on OpenAlexaboutno aff
Alexandre A. da Silva, Fábio Nelson Gava, Renata Maria Lataro, Carlos Alberto A. Silva, Driéli P. Rodrigues, T. Guzella Guida, Jussara M. do Carmo, Hélio César Salgado

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesNational Heart, Lung, and Blood InstituteConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsMedicineLeptinInternal medicineCardiac function curveEndocrinologyVentricleHeart failureStreptozotocinMyocardial infarctionDiabetes mellitusCardiologyObesity

Abstract

fetched live from OpenAlex

Myocardial infarction (MI) is a major cause of mortality and morbity and the leading cause of heart failure (HF) worldwide. We previously demonstrated that leptin, a peptide hormone produced by adipocytes, exerts powerful antidiabetic effects via activation of its receptors in the central nervous system (CNS). We also showed that chronic central leptin infusion restores intrinsic heart rate, cardiac sympathetic‐vagal balance and baroreflex sensitivity in uncontrolled diabetes. Therefore, in this study we examined if chronic intracerebroventricular infusion of leptin improves cardiac function in rats with HF induced by MI. Wistar Munich rats (275–300 g, n=4–5/group) were submitted to MI by ligation of the left descending coronary artery. Diabetes was induced one week later by a single injection of streptozotocin (STZ, 35 mg/kg, i.p.). Seven days later, rats were instrumented with an intracerebroventricular (ICV) cannula into the lateral ventricle for continuous infusion of leptin (0.62 μg/h, 0.5 μL/h, n=5) or vehicle (0.5 μL/h, n=4), for 4 weeks using osmotic pumps (Alzet, model 2002). Cardiac function was evaluated 6 days after MI surgery and on days 14 and 28 of ICV leptin or vehicle infusion using the echocardiograph VEVO 2100 (VisualSonics, Canada). STZ caused severe hyperglycemia in both groups (ranging from 472±17 to 477±14 mg/dl) which was completely normalized by chronic ICV leptin infusion (120±8 mg/dl). Compared to vehicle group, leptin infusion for 4 weeks also markedly ameliorated cardiac function as evidenced by lower left atrium/aorta ratio (1.73±0.07 vs. 2.63±0.23 mm) and higher cardiac output (113.8±27.6 vs. 69.5±10.0 ml/min) and ejection fraction (36.7±2.3 vs. 30.7±8.7 %). These results suggest that in addition to its powerful CNS‐mediated antidiabetic effects, leptin attenuates the progression of HF after MI in diabetic rats by improving cardiac function. Support or Funding Information NHLBI‐PO1HL51971, NIGMS‐P20GM104357, FAPESP, CNPq

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.231
Teacher spread0.218 · 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
Published2017
Admission routes1
Has abstractyes

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