Literature DB >> 36267920

Muscle atrophy phenotype gene expression during spaceflight is linked to a metabolic crosstalk in both the liver and the muscle in mice.

Geraldine Vitry1,2, Rebecca Finch2, Gavin Mcstay2, Afshin Behesti3,4, Sébastien Déjean5, Tricia Larose1,6, Virginia Wotring1,7, Willian Abraham da Silveira1,2.   

Abstract

Human expansion in space is hampered by the physiological risks of spaceflight. The muscle and the liver are among the most affected tissues during spaceflight and their relationships in response to space exposure have never been studied. We compared the transcriptome response of liver and quadriceps from mice on NASA RR1 mission, after 37 days of exposure to spaceflight using GSEA, ORA, and sparse partial least square-differential analysis. We found that lipid metabolism is the most affected biological process between the two organs. A specific gene cluster expression pattern in the liver strongly correlated with glucose sparing and an energy-saving response affecting high energy demand process gene expression such as DNA repair, autophagy, and translation in the muscle. Our results show that impaired lipid metabolism gene expression in the liver and muscle atrophy gene expression are two paired events during spaceflight, for which dietary changes represent a possible countermeasure.
© 2022 The Author(s).

Entities:  

Keywords:  Astronautics; Omics; Space medicine; Space sciences

Year:  2022        PMID: 36267920      PMCID: PMC9576569          DOI: 10.1016/j.isci.2022.105213

Source DB:  PubMed          Journal:  iScience        ISSN: 2589-0042


  58 in total

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Review 2.  Mechanisms for insulin resistance: common threads and missing links.

Authors:  Varman T Samuel; Gerald I Shulman
Journal:  Cell       Date:  2012-03-02       Impact factor: 41.582

3.  Treatment of spinal muscular atrophy by sodium butyrate.

Authors:  J G Chang; H M Hsieh-Li; Y J Jong; N M Wang; C H Tsai; H Li
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4.  Polymorphisms in the ABCG5 and ABCG8 genes associate with cholesterol absorption and insulin sensitivity.

Authors:  Helena Gylling; Maarit Hallikainen; Jussi Pihlajamäki; Jyrki Agren; Markku Laakso; Radhakrishnan A Rajaratnam; Rainer Rauramaa; Tatu A Miettinen
Journal:  J Lipid Res       Date:  2004-06-01       Impact factor: 5.922

Review 5.  Mitochondrial dysfunction in diabetes: from molecular mechanisms to functional significance and therapeutic opportunities.

Authors:  William I Sivitz; Mark A Yorek
Journal:  Antioxid Redox Signal       Date:  2010-04       Impact factor: 8.401

6.  Visualising associations between paired 'omics' data sets.

Authors:  Ignacio González; Kim-Anh Lê Cao; Melissa J Davis; Sébastien Déjean
Journal:  BioData Min       Date:  2012-11-13       Impact factor: 2.522

7.  Gene Expression Profiling in Slow-Type Calf Soleus Muscle of 30 Days Space-Flown Mice.

Authors:  Guido Gambara; Michele Salanova; Stefano Ciciliot; Sandra Furlan; Martina Gutsmann; Gudrun Schiffl; Ute Ungethuem; Pompeo Volpe; Hanns-Christian Gunga; Dieter Blottner
Journal:  PLoS One       Date:  2017-01-11       Impact factor: 3.240

8.  Age-related changes in the gut microbiota influence systemic inflammation and stroke outcome.

Authors:  Monica S Spychala; Venugopal Reddy Venna; Michal Jandzinski; Sarah J Doran; David J Durgan; Bhanu Priya Ganesh; Nadim J Ajami; Nagireddy Putluri; Joerg Graf; Robert M Bryan; Louise D McCullough
Journal:  Ann Neurol       Date:  2018-07-18       Impact factor: 10.422

Review 9.  Re-Setting the Circadian Clock Using Exercise against Sarcopenia.

Authors:  Youngju Choi; Jinkyung Cho; Mi-Hyun No; Jun-Won Heo; Eun-Jeong Cho; Eunwook Chang; Dong-Ho Park; Ju-Hee Kang; Hyo-Bum Kwak
Journal:  Int J Mol Sci       Date:  2020-04-28       Impact factor: 5.923

Review 10.  Hepatokines and Metabolism: Deciphering Communication from the Liver.

Authors:  Sharon O Jensen-Cody; Matthew J Potthoff
Journal:  Mol Metab       Date:  2020-12-04       Impact factor: 7.422

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