Evidence map›Paper›PMID 31407867›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine2020

Skeletal muscle: A review of molecular structure and function, in health and disease.

Kavitha Mukund, Shankar Subramaniam

Open access · hybridAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 341 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
341citing papers in PubMed, 3 pooled it
15.4field-weighted citation impact, top 1% of its field
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

341 citing papers in PubMed, 3 syntheses or guidelines pooled it, 600 citations in OpenAlex.

  1. NMR in biomedicine · 2025
    Pooled it
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  10. The role of mNaunyn-Schmiedeberg's archives of pharmacology · 2026
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281 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Kavitha MukundDepartment of Bioengineering, University of California, San Diego, California.ORCID 0000-0002-3570-2315
Shankar SubramaniamDepartment of Bioengineering, Bioinformatics & Systems Biology, University of California, San Diego, California.ORCID 0000-0002-8059-4659
University of California San Diego · USUniversity of San Diego · US

Funding

Systems Biological Analysis of Innate and Adaptive Responses to VaccinationU19AI090023 · NIAID · EMORY UNIVERSITY · PI AHMED, RAFI, LI, SHUZHAO · 2010 to 2021
$45.0M
The second phase of NIH Common Fund 4D Nucleome Network Organizational HubU01CA200147 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2015 to 2024
$22.0M
Systems Biology Analyses for Hemodynamic Regulation of Vascular HomeostasisR01HL108735 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, SHYY, JOHN YJ · 2012 to 2024
$13.4M
National Metabolomics Data Repository - nextgen Metabolomics WorkbenchU2CDK119886 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$12.7M
Shear Regulation of MicroRNA Transportomes and Targetomes in Vascular HomeostasisR01HL106579 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, SHYY, JOHN YJ · 2011 to 2022
$8.3M
The Metabolomics Data Center and Workbench (MDCW)U01DK097430 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2012 to 2017
$7.4M
An Integrative Omics Approach to Identify Biomarkers Related to Preeclampsia and Breast Cancer RisksR01HD084633 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2020
$3.0M
Mapping Disease Pathways for Biliary AtresiaR01DK109365 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SHIN, DONGHUN, SINDHI, RAKESH K. · 2017 to 2020
$2.4M
Theoretical Foundations and Software Infrastructure for Biological Network DatabasesU01CA198941 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI KOYUTURK, MEHMET · 2015 to 2017
$1.4M
Reconstruction and Modeling of Dynamical Molecular NetworksR01LM012595 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$1.3M
NCI NIH HHS U01 CA198941NCI NIH HHS U01 CA200147NHLBI NIH HHS R01 HL106579NHLBI NIH HHS R01 HL108735NIAID NIH HHS U19 AI090023NICHD NIH HHS R01 HD084633NIDDK NIH HHS R01 DK109365NIDDK NIH HHS U01 DK097430NIDDK NIH HHS U2C DK119886NIH HHS R01 DK109365NIH HHS R01 HD084633NIH HHS R01 HL106579NIH HHS R01 LM012595NIH HHS U01 CA198941NIH HHS U01 CA200147NIH HHS U01 DK097430NIH HHS U19 AI090023NIH HHS U2C DK119886NLM NIH HHS R01 LM012595
6 · The paper itself

Abstract

Decades of research in skeletal muscle physiology have provided multiscale insights into the structural and functional complexity of this important anatomical tissue, designed to accomplish the task of generating contraction, force and movement. Skeletal muscle can be viewed as a biomechanical device with various interacting components including the autonomic nerves for impulse transmission, vasculature for efficient oxygenation, and embedded regulatory and metabolic machinery for maintaining cellular homeostasis. The "omics" revolution has propelled a new era in muscle research, allowing us to discern minute details of molecular cross-talk required for effective coordination between the myriad interacting components for efficient muscle function. The objective of this review is to provide a systems-level, comprehensive mapping the molecular mechanisms underlying skeletal muscle structure and function, in health and disease. We begin this review with a focus on molecular mechanisms underlying muscle tissue development (myogenesis), with an emphasis on satellite cells and muscle regeneration. We next review the molecular structure and mechanisms underlying the many structural components of the muscle: neuromuscular junction, sarcomere, cytoskeleton, extracellular matrix, and vasculature surrounding muscle. We highlight aberrant molecular mechanisms and their possible clinical or pathophysiological relevance. We particularly emphasize the impact of environmental stressors (inflammation and oxidative stress) in contributing to muscle pathophysiology including atrophy, hypertrophy, and fibrosis. This article is categorized under: Physiology > Mammalian Physiology in Health and Disease Developmental Biology > Developmental Processes in Health and Disease Models of Systems Properties and Processes > Cellular Models.

Indexed as

Models, BiologicalMuscle, SkeletalMuscular DiseasesAnimalsBiophysical PhenomenaExtracellular MatrixHumansMuscle ContractionNeuromuscular JunctionSatellite Cells, Skeletal MuscleSynapsesmolecular mechanismsmolecular structuremuscle health and diseasemuscle physiologyskeletal muscle

Identifiers

PMID31407867
PMCPMC6916202
OpenAlexW2967714070

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.