Article in Aging cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
Michael R BeneDivision of Geriatric Medicine and Gerontology, Biology of Healthy Aging Program, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-5417-4052
William A FountainDivision of Geriatric Medicine and Gerontology, Biology of Healthy Aging Program, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-7995-8160
Giovanni Rosales-SotoDepartment of Biochemistry and Molecular Biology, School of Medicine, University of Maryland, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-7421-0671
Erick Hernández-OchoaDepartment of Biochemistry and Molecular Biology, School of Medicine, University of Maryland, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0003-1138-1382
Corina AntonescuGenetic Resources Core Facility, Computational Bioanalysis Division, and Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Liliana FloreaGenetic Resources Core Facility, Computational Bioanalysis Division, and Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-8124-2324
Seeun J JeongDivision of Geriatric Medicine and Gerontology, Biology of Healthy Aging Program, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0003-9477-4057
Qian-Li XueDivision of Geriatric Medicine and Gerontology, Biology of Healthy Aging Program, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-8818-7444
Peter M AbadirDivision of Geriatric Medicine and Gerontology, Biology of Healthy Aging Program, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-8186-0066
Qinchuan WangDivision of Geriatric Medicine and Gerontology, Biology of Healthy Aging Program, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-2359-3262
Funding
Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Anna Palmer Durbin · 2012 to 2026
$67.0M
Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
Multidisciplinary Rheumatology Training ProgramT32AR048522 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI CLIFTON O BINGHAM, LIVIA A CASCIOLA-ROSEN · 2003 to 2026
$6.4M
Translational Aging Research Training ProgramT32AG058527 · NIA · JOHNS HOPKINS UNIVERSITY · PI Peter M. Abadir, Esther Seunghee Oh · 2018 to 2026
$4.0M
Voltage sensor domain movements in skeletal muscle fiber activationR01AR075726 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI WARD, CHRISTOPHER WILLIAM · 2021 to 2025
$1.7M
Computational Methods to Characterize Alternative Splicing and Genetic Determinants from Heterogeneous Sequence DataR35GM156374 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Liliana D Florea · 2025 to 2026
$727k
AI-Driven Frailty Assessment and Molecular Correlation: A Multimodal Mentorship InitiativeK24AG088484 · NIA · JOHNS HOPKINS UNIVERSITY · PI Peter M. Abadir · 2024 to 2026
$596k
American Federation for Aging ResearchKaren and Ethan Leder CIM Human Aging ProjectNathan Shock scholarshipNational Institute of Allergy and Infectious Diseases P30AI094189NIAID NIH HHS P30 AI094189NIAMS NIH HHS 5T32AR048522-20NIAMS NIH HHS R01 AR075726NIAMS NIH HHS R01-AR075726NIAMS NIH HHS T32 AR048522NIA NIH HHS 2T32AG058527-06A1NIA NIH HHS K24 AG088484NIA NIH HHS P30 AG021334NIA NIH HHS P30AG021334NIA NIH HHS T32 AG058527NIGMS NIH HHS R35 GM156374
6 · The paper itself
Abstract
Sarcopenia, the age-related loss of muscle strength and mass, contributes to adverse health outcomes in older adults. Exercise engages calcium (Ca
Indexed as
AgingCalcium-Calmodulin-Dependent Protein Kinase Type 2Muscle ContractionMuscle, SkeletalAnimalsMaleMiceSignal TransductionCalcium-Calmodulin-Dependent Protein Kinase Type 2calcium‐calmodulin‐dependent protein kinase type 2calcium signalingmuscle weaknessoxidative stresssarcopeniaskeletal muscle
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 OpenQuestion graph.
Sustained Activation of CaMKII Promotes Skeletal Muscle Contractile Dysfunction in Aging. · full record | OpenQuestion