In one paragraphArticle in American journal of physiology. Endocrinology and metabolism, 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Theresia M SchnurrDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.
Miranda L JohnsonDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.ORCID 0009-0000-8589-3124 Christopher JinDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.ORCID 0000-0001-7340-5023 Kimmie V SørensenNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.
Lindsey KimDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.
James W JahngBiomedical Institute, Department of Medicine, Stanford University, Stanford, California, United States.ORCID 0000-0003-2367-6567 Amanda RamsteDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.
Ewa Bielczyk-MaczynskaDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.ORCID 0000-0002-0558-1188 Michael J GloudemansBiomedical Informatics Training Program, Department of Pathology, Stanford University, Stanford, California, United States.ORCID 0000-0002-9924-9943 Peter Saliba-GustafssonDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.
Elena VintonDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.ORCID 0000-0001-8101-9317 Patrick L JurneyBiomedical Engineering Department, San José State University, San Jose, California, United States.ORCID 0000-0002-4099-2927 Ivan Carcamo-OriveDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.
Euan A AshleyDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.ORCID 0000-0001-9418-9577 Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-8748-3831 Joshua W KnowlesDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.
Brian T PalmisanoDivision of Cardiovascular Medicine and Cardiovascular Institute and Diabetes Research Center, Department of Medicine, Stanford University, Stanford, California, United States.ORCID 0000-0002-2140-1060 Funding
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5MCharacterization of novel insulin resistance genes by gene editing, high-throughput phenotyping and in vivo studiesR01DK120565 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2019 to 2023
$3.2MMechanisms of NAT2 Regulation of Insulin Resistance and Mitochondrial DysfunctionR01DK116750 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2019 to 2023
$2.4MBeyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4MMolecular Mechanisms of Insulin Resistance Associated LociR01DK137889 · NIDDK · STANFORD UNIVERSITY · PI Joshua Wiley Knowles · 2024 to 2026
$1.8MGene Regulatory Mechanisms of the Coronary Artery Disease Gene PRDM16 on Smooth Muscle Cell Phenotypic ModulationK08HL177251 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Brian T. Palmisano · 2025 to 2026
$311kOneView 4kX4k sCMOS camera for transmission electron microscopy applicationsS10OD028536 · OD · STANFORD UNIVERSITY · PI MULHOLLAND, JONATHAN W · 2020 to 2020
$195kThe Epigenetic Regulator Prdm16 Controls Smooth Muscle Phenotypic Modulation and Atherosclerosis RiskF32HL165854 · NHLBI · STANFORD UNIVERSITY · PI PALMISANO, BRIAN T. · 2022 to 2024
$108kÅke Wiberg Stiftelse (Åke Wiberg Foundation) M24-0065American Diabetes Association (ADA) 1-19-JDF-108American Heart Association (AHA) 24CDA1272805Biomedicum Helsinki-säätiö (Biomedicum Helsinki Foundation)Diabetes Research FoundationEmil Aaltosen Säätiö (Emil Aaltonen Foundation)European Atherosclerosis Society (EAS)HHS | National Institutes of Health (NIH) F32HL165854HHS | National Institutes of Health (NIH) K08HL177251Ida Montin's FoundationIkerbasque, Basque Foundation for Science (Ikerbasque) H2020-MSCA-COFUND-2020-101034228-WOLFRAM2Karolinska Institutet foundations 2024-02617Karolinska Institutet Network Medicine Alliance 2-776/2024Killian and Hathaway familiesMCIU/AEI/FEDER-EU PID2023-148986OB-I00NHLBI NIH HHS F32 HL165854NHLBI NIH HHS K08 HL177251NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK106236NIDDK NIH HHS R01 DK116750NIDDK NIH HHS R01 DK120565NIDDK NIH HHS R01 DK137889NIH HHS S10 OD028536Novo Nordisk Foundation Center for Basic Metabolic Research (NovoNordisk Foundation Center for Basic Metabolic Research) NNF19OC0054265Orion | Orionin Tutkimussäätiö (Orion Research Foundation)Suomen Lääketieteen Säätiö (Finnish Medical Foundation)SU | Stanford Bio-XSydäntutkimussäätiö (Finnish Foundation for Cardiovascular Research)
6 · The paper itselfAbstract
Handgrip strength is a proxy for muscular fitness, an indicator for general health status, and is associated with cardiometabolic health. The mechanisms connecting handgrip strength to skeletal muscle function are incompletely understood. We applied integrated linkage-disequilibrium-adjusted colocalization analysis of genome-wide association study summary statistics for handgrip strength, combined with expression and splicing quantitative trait loci from skeletal muscle, and identified glycogen branching enzyme 1 (
Indexed as
Glycogen Debranching Enzyme SystemHand StrengthMuscle, SkeletalGene Knockdown TechniquesGenome-Wide Association StudyGlycogenHumansOxidative StressQuantitative Trait LociGBE1 protein, humanGlycogenGlycogen Debranching Enzyme Systemfunctional genomicsglycogen branching enzyme 1handgrip strengthmitochondrial functionoxidative stress responses
Identifiers
PMID41697796
PMCPMC13008485
What OpenQuestion holds
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