Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
Ashutosh KumarDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-2623-0416
Yonghui ZhaoDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-6192-4130
Litao XieDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0009-0001-4089-3830
Rahul ChaddaDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-6710-3985
John D TranterDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0009-0006-6884-7154
Ryan T MikamiDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.
Nihil AbrahamDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0009-0001-1940-940X
Juan HongDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-7894-8403
Ethan FengDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0009-0000-6999-7759
David R RawnsleyDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-1620-8637
Haiyan LiuDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-3154-8285
Kayla M HenryFraternal Order of Eagles Diabetes Research Center, Iowa City, IA, USA.ORCID 0009-0007-1846-0725
Gretchen MeyerProgram in Physical Therapy and Departments of Neurology, Biomedical Engineering and Orthopedic Surgery, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0001-9268-3993
Meiqin HuDepartment of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-3953-5868
Haoxing XuDepartment of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-3561-4654
Antentor HintonFraternal Order of Eagles Diabetes Research Center, Iowa City, IA, USA.ORCID 0000-0002-7730-952X
Chad E GrueterFraternal Order of Eagles Diabetes Research Center, Iowa City, IA, USA.ORCID 0000-0001-8950-742X
E Dale AbelFraternal Order of Eagles Diabetes Research Center, Iowa City, IA, USA.ORCID 0000-0001-5290-0738
Andrew W NorrisStead Family Department of Pediatrics, Endocrinology and Diabetes Division, Fraternal Order of Eagles Diabetes Research Center, University of Iowa, Iowa City, IA, USA.ORCID 0000-0001-8396-9543
Abhinav DiwanDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-7554-4772
Rajan SahDepartment of Internal Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-1092-1244
Funding
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · 2022 to 2025
$5.6M
Mitophagy and Cardiac Myocyte Protein AggregationR01HL107594 · NHLBI · WASHINGTON UNIVERSITY · 2024 to 2025
$959k
LRRC8 complex regulation of endothelial functionR01HL168600 · WASHINGTON UNIVERSITY · 2025 to 2025
$567k
Optimizing small molecule SWELL1-LRRC8 modulators to treat Type 2 diabetesR01DK126068 · WASHINGTON UNIVERSITY · 2025 to 2025
$411k
Targeting Lysosome Function in Lipid Overload CardiomyopathyK08HL163469 · WASHINGTON UNIVERSITY · 2025 to 2025
The lysosome integrates anabolic signaling and nutrient sensing to regulate intracellular growth pathways. The leucine-rich repeat-containing 8 (LRRC8) channel complex forms a lysosomal anion channel and regulates PI3K-AKT-mTOR signaling, skeletal muscle differentiation, growth, and systemic glucose metabolism. Here, we define the endogenous LRRC8 subunits localized to a subset of lysosomes in differentiated myotubes. We show that LRRC8A affects leucine-stimulated mTOR; lysosome size; number; pH; expression of lysosomal proteins LAMP2, P62, and LC3B; and lysosomal function. Mutating an LRRC8A lysosomal targeting dileucine motif sequence (LRRC8A-L706A;L707A) in myotubes recapitulates the abnormal AKT signaling and altered lysosomal morphology and pH observed in LRRC8A knockout cells. In vivo, LRRC8A-L706A;L707A knock-in mice exhibit increased adiposity, impaired glucose tolerance and insulin resistance associated with reduced skeletal muscle PI3K-AKT-mTOR signaling, glucose uptake, and impaired incorporation of glucose into glycogen. These data reveal a lysosomal LRRC8-mediated metabolic signaling function regulating lysosomal function, systemic glucose homeostasis, and insulin sensitivity.
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.