Relevant research on the whole metabolome of physical activity

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Jacob, M., Lopata, AL, Dasouki, M. & Abdel Rahman, AM Metabolomics for personalized medicine. mass spectrometry. Rev. 38(3), 221–238 (2019).

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Johnson, CH, Ivanisevic, J. & Siuzdak, G. Metabolomics: Beyond biomarkers and towards mechanisms. nut. Rev. Mol. cell organism. 17451–459 (2016).

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Brennan, AM and others. Plasma metabolite profile in response to chronic exercise. medicine. Science. sport exercise. 50(7), 1480–1486 (2018).

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Fukai, K. and others. Metabolic profiling of gross physical activity and sedentary behavior in community-dwelling men. pro swan 11(10), 1–14 (2016).

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Xiao, Q. and others. Objectively measured physical activity and plasma metabolomics in the Shanghai Physical Activity Study. Inside and outside J. Epidemiol. 45(5), 1433–1444 (2016).

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Ding, M. and others. A metabolome-wide association study of the relationship between habitual physical activity and plasma metabolite levels. morning. J. Epidemiol. 188(11), 1932–1943 (2019).

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Smith, GD & Hemani, G. Mendelian randomization: A genetic anchor for causal inference in epidemiological studies. ham. Mole. Genette. twenty three(1), 89–98 (2014).

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Elliott, P. and others. Radio health monitoring studies of UK police officers and staff: rationale, design and methods. environment resolution. (Elsevier) 134280–285 (2014).

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Lewis, MR and others. Development and application of ultra-performance liquid chromatography-TOF MS for precise and large-scale urinary metabolic phenotyping. anal. Chemistry. 88(18), 9004–9013 (2016).

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Sarafyan, MH and others. An objective set of criteria for optimization of sample preparation procedures for ultra-high-throughput non-targeted plasma lipid profiling by ultra-performance liquid chromatography-mass spectrometry. anal. Chemistry. 86(12), 5766–5774 (2014).

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Baumann, AE and others. International Physical Activity Questionnaire : Reliability and validity of 12 countries. medicine. Science. sport exercise. 35(8), 1381–1395 (2000).

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Ainsworth, BE and others. Physical Activity Compendium: Updated Activity Codes and MET Intensity. medicine. Science. sport exercise. 32(12), 498–504 (2000).

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Xia, J., Sinelnikov, IV, Han, B. & Wishart, DS MetaboAnalyst 3.0 makes metabolomics more meaningful. Nucleic acid resolution. 43(W1), W251–W257 (2015).

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Minnelli, C. and others. Using a two-sample method for Mendelian randomization analysis on a single large dataset. Inside and outside J. Epidemiol. 50(5), 1651–1659 (2021).

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Clementidis, YC and others. A genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identified multiple variants, including CADM2 and APOE. Inside and outside J. Oves. 42(6), 1161–1176 (2018).

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Roshchupkin, GV, Adams, HHH, Vernooij, MW, Hofman, A. & Van Duijn, CM OPEN HASE: A Framework for Efficient High-Dimensional Association Analysis. nut. Public Gr. (Nature Publishing Group) 61–8 (2016).

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Bowden, J., Greco, D., Minelli, C., Smith, GD & Thompson, J. 2 Framework Mendelian randomization to investigate pleiotropy in sample summary data. state. and. 36(11), 1783–1802 (2017).

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Bowden, J., Smith, GD & Burgess, S. Mendelian Randomization Methodology Mendelian Randomization Using Ineffective Measures: Effect Estimation and Bias Detection by Egger Regression. Inside and outside J. Epidemiol. 44(2), 512–525 (2015).

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Mitani H. and others. Correlation of plasma levels of glutamate, alanine, and serine with severity of depression. Program Neuropsychopharmacall. creature.psychiatry 30(6), 1155–1158 (2006).

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Bergman, BC, Hunerdosse, DM, Kerege, A., Playdon, MC & Perreault, L. Skeletal muscle diacylglycerol localization and composition predict insulin resistance in humans. Diabetes 55(4), 1140–1150 (2013).

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Dube, J.J. and others. Effects of weight loss and exercise on insulin resistance, intramuscular triacylglycerols, diacylglycerols, and ceramides. Diabetes 54(5), 1147–1156 (2013).

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Pavey, TG, Peeters, G., Bauman, AE & Brown, WJ Does vigorous physical activity provide additional benefits above moderate? medicine. Science. sport exercise. 45(10), 1948–1955 (2013).

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Erion, DM & Shulman, GI Diacylglycerol-mediated insulin resistance. night. and. 16(4), 400–402 (2013).

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Roa Engel, CA, Straathof, AJJ, Zijlmans, TW, Van, GWM & Van Der, WLAM Fumarate production by fermentation. Application microbes. biotechnology. 78(3), 379–389 (2008).

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Kainulainen, H., Hulmi, JJ & Kujala, UM Potential role of branched-chain amino acid catabolism in regulation of fatty acid oxidation. I will do it. Sports Science Rev. 41(4), 194–200 (2013).

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Kozey, SL, Lyden, K., Howe, CA, Staudenmayer, JW & Freedson, PS Accelerometer outputs and MET values ​​for general physical activity. medicine. Science. sport exercise. 42(9), 1776–1784 (2010).

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