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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Clinical and Experim...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Clinical and Experimental Pharmacology and Physiology
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Proteomic response of the rat liver in differential swimming modes

Authors: Liang Chen; Yanhua Yang; Yiting Wang; Lipeng Qiu; Hengchuan Xia; Aiai Wang; Hailong Liu; +2 Authors

Proteomic response of the rat liver in differential swimming modes

Abstract

SummaryModerate exercise helps improve competition results, providing a balanced muscle tone and biochemical activity, whereas excessive training disrupts the balance between training and recovery, causes harm to the organism, and leads to overtraining syndrome (OTS). To explore the mechanisms of different protein expressions during training and acquisition of immunity, we used proteomic analyses to investigate the differences of liver‐protein expressions between 2 swimming modes. Sprague‐Dawley rats were randomly divided into control (CT), fatigue training (FT), and exhaustive training (ET) groups, and liver tissues from each group were subjected to 2‐dimensional electrophoresis (2DE). A total of 4518 protein spots were detected in 9 replicates, and 45 protein spots exhibited a >2‐fold difference in expression (P < .05), 31 of which was successfully identified by mass spectrometry. SERPINA3K expression decreased markedly during 2 stages from CT → FT and FT → ET, while DDT, RHOT1, and RBP4 decreased significantly only from CT → ET but not from the former 2 stages. By contrast, KRT8, PCBD1, KRT18, PRDX1, and ACY1A showed significant >2‐fold increase in expression in either the CT → FT or FT → ET stages. Bioinformatic analyses showed that among the identified proteins, 30.2%, 54.18%, and 15.62% were involved in biological processes, molecular functions, and cell composition, respectively. Notably, PCBD1, PRDX1, and PPP1CB were involved in redox processes, while PPP1CB was only expressed in the FT group. RGN, PSMB9, and AGT, commonly recognized as oxidative stress biomarkers, may involve in regulating homeostasis in the locomotor mode and may provide diagnostic criteria for the occurrence and prevention of exercise‐induced fatigue and OTS.

Related Organizations
Keywords

Male, Proteomics, Rats, Sprague-Dawley, Liver, Malondialdehyde, Physical Conditioning, Animal, Animals, Fatigue, Swimming, Rats

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average