Literature DB >> 29958080

A mini review: Proteomics approaches to understand disused vs. exercised human skeletal muscle.

Yoshitake Cho1, Robert S Ross1,2.   

Abstract

Immobilization, bed rest, or denervation leads to muscle disuse and subsequent skeletal muscle atrophy. Muscle atrophy can also occur as a component of various chronic diseases such as cancer, AIDS, sepsis, diabetes, and chronic heart failure or as a direct result of genetic muscle disorders. In addition to this atrophic loss of muscle mass, metabolic deregulation of muscle also occurs. In contrast, physical exercise plays a beneficial role in counteracting disuse-induced atrophy by increasing muscle mass and strength. Along with this, exercise can also reduce mitochondrial dysfunction and metabolic deregulation. Still, while exercise causes valuable metabolic and functional adaptations in skeletal muscle, the mechanisms and effectors that lead to these changes such as increased mitochondria content or enhanced protein synthesis are not fully understood. Therefore, mechanistic insights may ultimately provide novel ways to treat disuse induced atrophy and metabolic deregulation. Mass spectrometry (MS)-based proteomics offers enormous promise for investigating the molecular mechanisms underlying disuse and exercise-induced changes in skeletal muscle. This review will focus on initial findings uncovered by using proteomics approaches with human skeletal muscle specimens and discuss their potential for the future study.

Entities:  

Keywords:  exercise adaptation; physical activity; proteomics; skeletal muscle disuse

Mesh:

Year:  2018        PMID: 29958080      PMCID: PMC6172614          DOI: 10.1152/physiolgenomics.00043.2018

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  66 in total

Review 1.  Proteomics by mass spectrometry: approaches, advances, and applications.

Authors:  John R Yates; Cristian I Ruse; Aleksey Nakorchevsky
Journal:  Annu Rev Biomed Eng       Date:  2009       Impact factor: 9.590

2.  Comparative proteomic analysis of the aging soleus and extensor digitorum longus rat muscles using TMT labeling and mass spectrometry.

Authors:  Daniela F S Chaves; Paulo C Carvalho; Diogo B Lima; Humberto Nicastro; Fábio M Lorenzeti; Mário Siqueira-Filho; Sandro M Hirabara; Paulo H M Alves; James J Moresco; John R Yates; Antonio H Lancha
Journal:  J Proteome Res       Date:  2013-09-25       Impact factor: 4.466

Review 3.  Fiber types in mammalian skeletal muscles.

Authors:  Stefano Schiaffino; Carlo Reggiani
Journal:  Physiol Rev       Date:  2011-10       Impact factor: 37.312

Review 4.  Disuse-induced muscle wasting.

Authors:  Sue C Bodine
Journal:  Int J Biochem Cell Biol       Date:  2013-06-22       Impact factor: 5.085

Review 5.  Mapping the human skeletal muscle proteome: progress and potential.

Authors:  Daniele Capitanio; Manuela Moriggi; Cecilia Gelfi
Journal:  Expert Rev Proteomics       Date:  2017-08-14       Impact factor: 3.940

Review 6.  Effect of limb immobilization on skeletal muscle.

Authors:  F W Booth
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1982-05

7.  Altered gene expression patterns in muscle ring finger 1 null mice during denervation- and dexamethasone-induced muscle atrophy.

Authors:  J David Furlow; Monica L Watson; David S Waddell; Eric S Neff; Leslie M Baehr; Adam P Ross; Sue C Bodine
Journal:  Physiol Genomics       Date:  2013-10-15       Impact factor: 3.107

8.  Basal and exercise induced label-free quantitative protein profiling of m. vastus lateralis in trained and untrained individuals.

Authors:  Marius Schild; Aaron Ruhs; Thomas Beiter; Martina Zügel; Jens Hudemann; Anna Reimer; Ilke Krumholz-Wagner; Carola Wagner; Janine Keller; Klaus Eder; Karsten Krüger; Marcus Krüger; Thomas Braun; Andreas Nieß; Jürgen Steinacker; Frank C Mooren
Journal:  J Proteomics       Date:  2015-04-06       Impact factor: 4.044

Review 9.  Skeletal muscle wasting with disuse atrophy is multi-dimensional: the response and interaction of myonuclei, satellite cells and signaling pathways.

Authors:  Naomi E Brooks; Kathryn H Myburgh
Journal:  Front Physiol       Date:  2014-03-17       Impact factor: 4.566

10.  Genome-Wide Analysis of Acute Endurance Exercise-Induced Translational Regulation in Mouse Skeletal Muscle.

Authors:  Hiroaki Sako; Koichi Yada; Katsuhiko Suzuki
Journal:  PLoS One       Date:  2016-02-04       Impact factor: 3.240

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  5 in total

1.  Proteomic investigation of human skeletal muscle before and after 70 days of head down bed rest with or without exercise and testosterone countermeasures.

Authors:  E Lichar Dillon; Kizhake V Soman; John E Wiktorowicz; Ria Sur; Daniel Jupiter; Christopher P Danesi; Kathleen M Randolph; Charles R Gilkison; William J Durham; Randall J Urban; Melinda Sheffield-Moore
Journal:  PLoS One       Date:  2019-06-13       Impact factor: 3.240

Review 2.  Characterization of Contractile Proteins from Skeletal Muscle Using Gel-Based Top-Down Proteomics.

Authors:  Paul Dowling; Margit Zweyer; Dieter Swandulla; Kay Ohlendieck
Journal:  Proteomes       Date:  2019-06-20

3.  Skeletal muscle alterations in tachycardia-induced heart failure are linked to deficient natriuretic peptide signalling and are attenuated by RAS-/NEP-inhibition.

Authors:  Alexander Dietl; Ingrid Winkel; Gabriela Pietrzyk; Michael Paulus; Astrid Bruckmann; Josef A Schröder; Samuel Sossalla; Andreas Luchner; Lars S Maier; Christoph Birner
Journal:  PLoS One       Date:  2019-12-04       Impact factor: 3.240

4.  Denervation drives skeletal muscle atrophy and induces mitochondrial dysfunction, mitophagy and apoptosis via miR-142a-5p/MFN1 axis.

Authors:  Xiaofan Yang; Pingping Xue; Hongrui Chen; Meng Yuan; Yu Kang; Dominik Duscher; Hans-Günther Machens; Zhenbing Chen
Journal:  Theranostics       Date:  2020-01-01       Impact factor: 11.556

5.  Transcriptomic Signatures and Upstream Regulation in Human Skeletal Muscle Adapted to Disuse and Aerobic Exercise.

Authors:  Pavel A Makhnovskii; Roman O Bokov; Fedor A Kolpakov; Daniil V Popov
Journal:  Int J Mol Sci       Date:  2021-01-26       Impact factor: 5.923

  5 in total

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