Evidence mapPaperPMID 41789689Full record

ArticleeLife2026

Cardiac neurons expressing a glucagon-like receptor mediate cardiac arrhythmia induced by high-fat diet in

Yunpo Zhao, Jianli Duan, Joyce van de Leemput, Zhe Han

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yunpo ZhaoCenter for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, Baltimore, United States.ORCID https://orcid.org/0000-0002-7942-3406
Jianli DuanCenter for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, Baltimore, United States.
Joyce van de LeemputCenter for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, Baltimore, United States.
Zhe HanCenter for Precision Disease Modeling, Department of Medicine, University of Maryland School of Medicine, Baltimore, United States.ORCID https://orcid.org/0000-0002-5177-7798

Funding

Functional characterization of genes and genetic variants associated with hypoplastic heart syndrome in DrosophilaR01HL180768 · UNIVERSITY OF MARYLAND BALTIMORE · 2025 to 2025
$777k
Screen and functional validation of Pediatric Cardiomyopathy genetic variants in DrosophilaR01HD111480 · UNIVERSITY OF MARYLAND BALTIMORE · 2025 to 2025
$650k
Eunice Kennedy Shriver National Institute of Child Health and Human Development R01-HD111480National Heart Lung and Blood Institute R01-HL134940National Heart Lung and Blood Institute R01-HL180768NHLBI NIH HHS R01 HL134940NHLBI NIH HHS R01 HL180768NICHD NIH HHS R01 HD111480
6 · The paper itself

Abstract

Cardiac arrhythmia leads to increased risks for stroke, heart failure, and cardiac arrest. Arrhythmic pathology is often rooted in the cardiac conduction system, but the mechanism is complex and not fully understood. For example, how metabolic diseases, like obesity and diabetes, increase the risk for cardiac arrhythmia. Glucagon regulates glucose production, mobilizes lipids from the fat body, and affects cardiac rate and rhythm, attributes of a likely key player.

Indexed as

Arrhythmias, CardiacDiet, High-FatDrosophila melanogasterDrosophila ProteinsNeuronsReceptors, GlucagonAnimalsDrosophilaHeartInsect HormonesOligopeptidesPyrrolidonecarboxylic Acidadipokinetic hormoneAKHR protein, DrosophilaDrosophila ProteinsInsect HormonesOligopeptidesPyrrolidonecarboxylic AcidReceptors, Glucagonadipokinetic hormone (Akh)AkhAkhRcardiac arrhythmiacardiac neuronscell biologyD. melanogasterglucagonhigh-fat diet

Identifiers

PMID41789689
PMCPMC12965717

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.