Literature DB >> 33410783

Metabolic signatures of muscle mass loss in an elderly Taiwanese population.

Chi-Jen Lo1, Yu-Shien Ko2,3, Su-Wei Chang4, Hsiang-Yu Tang1, Cheng-Yu Huang1, Yu-Chen Huang3,5, Hung-Yao Ho1,6,7, Chih-Ming Lin3,8,9, Mei-Ling Cheng1,7,10.   

Abstract

To identify the association between metabolites and muscle mass in 305 elderly Taiwanese subjects, we conducted a multivariate analysis of 153 plasma samples. Based on appendicular skeletal muscle mass index (ASMI) quartiles, female and male participants were divided into four groups. Quartile 4 (Men: 5.67±0.35, Women: 4.70±0.32 Kg/m2) and quartile 1 (Men: 7.60±0.29, Women: 6.56±0.53 Kg/m2) represented low muscle mass and control groups, respectively. After multivariable adjustment, except for physical function, we found that blood urea nitrogen, creatinine, and age were associated with ASMI in men. However, only triglyceride level was related to ASMI in women. The multiple logistic regression models were used to analyze in each baseline characteristic and metabolite concentration. After the adjustment, we identify amino acid-related metabolites and show that glutamate levels in women and alpha-aminoadipate, Dopa, and citrulline/ornithine levels in men are gender-specific metabolic signatures of muscle mass loss.

Entities:  

Keywords:  amino acid-related metabolites; elderly; metabolomics; muscle mass loss; sarcopenia

Mesh:

Substances:

Year:  2020        PMID: 33410783      PMCID: PMC7834982          DOI: 10.18632/aging.202209

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


  38 in total

1.  Age-related changes in serum amino acids concentrations in healthy individuals.

Authors:  Takanori Kouchiwa; Keiko Wada; Mari Uchiyama; Nobuhiko Kasezawa; Mitsuko Niisato; Hiromi Murakami; Kazue Fukuyama; Hidehiko Yokogoshi
Journal:  Clin Chem Lab Med       Date:  2012-01-04       Impact factor: 3.694

2.  Individual variability in human blood metabolites identifies age-related differences.

Authors:  Romanas Chaleckis; Itsuo Murakami; Junko Takada; Hiroshi Kondoh; Mitsuhiro Yanagida
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-28       Impact factor: 11.205

Review 3.  Gender-related metabolomics and lipidomics: From experimental animal models to clinical evidence.

Authors:  Matteo Audano; Mariateresa Maldini; Emma De Fabiani; Nico Mitro; Donatella Caruso
Journal:  J Proteomics       Date:  2017-11-06       Impact factor: 4.044

4.  The transcription factor ATF4 promotes skeletal myofiber atrophy during fasting.

Authors:  Scott M Ebert; Alex Mas Monteys; Daniel K Fox; Kale S Bongers; Bridget E Shields; Sharon E Malmberg; Beverly L Davidson; Manish Suneja; Christopher M Adams
Journal:  Mol Endocrinol       Date:  2010-03-02

5.  Metabolic disturbances identified in plasma are associated with outcomes in patients with heart failure: diagnostic and prognostic value of metabolomics.

Authors:  Mei-Ling Cheng; Chao-Hung Wang; Ming-Shi Shiao; Min-Hui Liu; Yu-Yen Huang; Cheng-Yu Huang; Chun-Tai Mao; Jui-Fen Lin; Hung-Yao Ho; Ning-I Yang
Journal:  J Am Coll Cardiol       Date:  2015-04-21       Impact factor: 24.094

6.  Serum amino acid concentrations in aging men and women.

Authors:  H T Pitkänen; S S Oja; K Kemppainen; J M Seppä; A A Mero
Journal:  Amino Acids       Date:  2003-06       Impact factor: 3.520

7.  Branched chain amino acids are associated with muscle mass in functionally limited older adults.

Authors:  Michael S Lustgarten; Lori Lyn Price; Angela Chale; Edward M Phillips; Roger A Fielding
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-10-01       Impact factor: 6.053

8.  Precision high-throughput proton NMR spectroscopy of human urine, serum, and plasma for large-scale metabolic phenotyping.

Authors:  Anthony C Dona; Beatriz Jiménez; Hartmut Schäfer; Eberhard Humpfer; Manfred Spraul; Matthew R Lewis; Jake T M Pearce; Elaine Holmes; John C Lindon; Jeremy K Nicholson
Journal:  Anal Chem       Date:  2014-09-16       Impact factor: 6.986

Review 9.  Proline metabolism and cancer: emerging links to glutamine and collagen.

Authors:  James M Phang; Wei Liu; Chad N Hancock; Joseph W Fischer
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2015-01       Impact factor: 4.294

10.  Gender-specific pathway differences in the human serum metabolome.

Authors:  Jan Krumsiek; Kirstin Mittelstrass; Kieu Trinh Do; Ferdinand Stückler; Janina Ried; Jerzy Adamski; Annette Peters; Thomas Illig; Florian Kronenberg; Nele Friedrich; Matthias Nauck; Maik Pietzner; Dennis O Mook-Kanamori; Karsten Suhre; Christian Gieger; Harald Grallert; Fabian J Theis; Gabi Kastenmüller
Journal:  Metabolomics       Date:  2015-08-04       Impact factor: 4.290

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  2 in total

1.  Identification of Metabolomics Biomarkers in Extracranial Carotid Artery Stenosis.

Authors:  Chia-Ni Lin; Kai-Cheng Hsu; Kuo-Lun Huang; Wen-Cheng Huang; Yi-Lun Hung; Tsong-Hai Lee
Journal:  Cells       Date:  2022-09-27       Impact factor: 7.666

2.  A Comparative Analysis of Metabolic Profiles of Embryonic Skeletal Muscle from Lantang and Landrace Pigs.

Authors:  Shufang Cai; Tianqi Duo; Xiaoyu Wang; Xian Tong; Chenglong Luo; Yaosheng Chen; Jianhao Li; Delin Mo
Journal:  Animals (Basel)       Date:  2022-02-10       Impact factor: 2.752

  2 in total

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