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Record W2022381378 · doi:10.2174/13816128113199990023

Leptin as a Cardiac Pro-Hypertrophic Factor and its Potential Role in the Development of Heart Failure

2014· review· en· W2022381378 on OpenAlexafffund
Morris Karmazyn, Venkatesh Rajapurohitam

Bibliographic record

VenueCurrent Pharmaceutical Design · 2014
Typereview
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsLeptinAdipokineAdipocyteHeart failureMedicineEndocrine systemInternal medicineEndocrinologyObesityBioinformaticsBiologyAdipose tissueHormone

Abstract

fetched live from OpenAlex

The identification of the adipocyte as a source of production of biologically-active peptides has materialized into an active area of research related to the role of these peptides in physiology and pathophysiology. Moreover, this research has resulted in the identification of the adipocyte as an endocrine organ producing potent bioactive compounds. An increasing number of these adipokines are being identified, the first of which was leptin, a product of the obesity gene whose primary function is to act as a satiety factor but which is now known to exert a myriad of effects. It is now recognized that virtually all adipokines produce effects on numerous organ systems including the heart and many of these, including leptin, are produced by cardiac tissue. Here we focus primarily on the diverse effects of leptin on the heart especially as it pertains to hypertrophy and discuss the potential cell signaling mechanisms underlying their actions. Current evidence suggests that leptin is a cardiac hypertrophic factor and from clinical studies there is evidence that hyperleptinemia is associated with cardiovascular risk especially as it pertains to heart failure. While more substantial research needs to be carried out, leptin may represent a potential link between obesity, which is associated with hyperleptinemia, and increased cardiovascular risk.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score1.000

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 integrity0.0000.001
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 head0.176
GPT teacher head0.404
Teacher spread0.228 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations16
Published2014
Admission routes2
Has abstractyes

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