Plasma acylcarnitines and amino acids in dyslipidemia: An integrated metabolomics and machine learning approach

Blüher M. Adipose tissue dysfunction contributes to obesity related metabolic diseases. Best Pract Res Clin Endocrinol Metab. 2013;27:163–77. https://doi.org/10.1016/j.beem.2013.02.005.

Article  CAS  PubMed  Google Scholar 

Aryan Z, Mahmoudi N, Sheidaei A, et al. The prevalence, awareness, and treatment of lipid abnormalities in iranian adults: surveillance of risk factors of noncommunicable diseases in Iran 2016. J Clin Lipidol. 2018;12:1471-1481.e4. https://doi.org/10.1016/j.jacl.2018.08.001.

Article  PubMed  Google Scholar 

National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report. Circulation. 2002;106:3143–3421.

Vekic J, Zeljkovic A, Stefanovic A, et al. Obesity and dyslipidemia. Metabolism. 2019;92:71–81. https://doi.org/10.1016/j.metabol.2018.11.005.

Article  CAS  PubMed  Google Scholar 

Johnson CB, Davis MK, Law A, Sulpher J. Shared risk factors for cardiovascular disease and cancer: Implications for preventive health and clinical care in oncology patients. Can J Cardiol. 2016;32:900–7. https://doi.org/10.1016/j.cjca.2016.04.008.

Article  PubMed  Google Scholar 

Lin C-F, Chang Y-H, Chien S-C, et al. Epidemiology of dyslipidemia in the Asia Pacific region. Int J Gerontol. 2018;12:2–6. https://doi.org/10.1016/j.ijge.2018.02.010.

Article  Google Scholar 

Esmati P, Najjar N, Emamgholipour S, et al. Mass spectrometry with derivatization method for concurrent measurement of amino acids and acylcarnitines in plasma of diabetic type 2 patients with diabetic nephropathy. J Diabetes Metab Disord. 2021;20:591–9. https://doi.org/10.1007/s40200-021-00786-3.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, et al. Scikit-learn: Machine learning in Python. J Mach Learn Res. 2011;12:2825–30.

Shapiro SS, Wilk MB. An analysis of variance test for normality (complete samples)†. Biometrika. 1965;52:591–611. https://doi.org/10.1093/biomet/52.3-4.591.

Article  MathSciNet  Google Scholar 

Freedman D, Pisani R, Purves R. Statistics: Fourth international student edition. W W Nort Co. 2020. Httpswww Amaz ComStatistics-Fourth-Int-Stud-Free. Accessed 22:

Gu Z, Eils R, Schlesner M. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinforma Oxf Engl. 2016;32:2847–9. https://doi.org/10.1093/bioinformatics/btw313.

Article  CAS  Google Scholar 

Evaluation of Feature Selections on Movie Reviews Sentiment | IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/document/9234287. Accessed 3 Sep 2022

FELLA: An R package to enrich metabolomics data | BMC Bioinformatics | Full Text. https://bmcbioinformatics.biomedcentral.com/articles/https://doi.org/10.1186/s12859-018-2487-5. Accessed 15 Nov 2022

Shannon P, Markiel A, Ozier O, et al. Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13:2498–504. https://doi.org/10.1101/gr.1239303.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Korobov M, Lopuhin K ELI5 Documentation. 113

Weintraub MS, Grosskopf I, Charach G, et al. Fluctuations of lipid and lipoprotein levels in hyperlipidemic postmenopausal women receiving hormone replacement therapy. Arch Intern Med. 1998;158:1803–6. https://doi.org/10.1001/archinte.158.16.1803.

Article  CAS  PubMed  Google Scholar 

Yousri NA, Suhre K, Yassin E, et al. Metabolic and metabo-clinical signatures of type 2 diabetes, obesity, retinopathy, and dyslipidemia. Diabetes. 2022;71:184–205. https://doi.org/10.2337/db21-0490.

Article  CAS  PubMed  Google Scholar 

Fukagawa NK, Martin JM, Wurthmann A, et al. Sex-related differences in methionine metabolism and plasma homocysteine concentrations. Am J Clin Nutr. 2000;72:22–9. https://doi.org/10.1093/ajcn/72.1.22.

Article  CAS  PubMed  Google Scholar 

Rose DP, Leklem JE, Fardal L, et al. Effect of oral alanine loads on the serum triglycerides of oral contraceptive users and normal subjects. Am J Clin Nutr. 1977;30:691–4. https://doi.org/10.1093/ajcn/30.5.691.

Article  CAS  PubMed  Google Scholar 

Wiklund P, Zhang X, Tan X, et al. Serum amino acid profiles in childhood predict triglyceride level in adulthood: A 7-year longitudinal study in girls. J Clin Endocrinol Metab. 2016;101:2047–55. https://doi.org/10.1210/jc.2016-1053.

Article  CAS  PubMed  Google Scholar 

Newgard CB. Interplay between lipids and branched-chain amino acids in development of insulin resistance. Cell Metab. 2012;15:606–14. https://doi.org/10.1016/j.cmet.2012.01.024.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Newgard CB, An J, Bain JR, et al. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab. 2009;9:311–26. https://doi.org/10.1016/j.cmet.2009.02.002.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Siddiqui MS, Sterling RK, Luketic VA, et al. Association between high-normal levels of alanine aminotransferase and risk factors for atherogenesis. Gastroenterology. 2013;145(1271–1279):e1-3. https://doi.org/10.1053/j.gastro.2013.08.036.

Article  CAS  Google Scholar 

Chen Z, Han C-K, Pan L-L, et al. Serum alanine aminotransferase independently correlates with intrahepatic triglyceride contents in obese subjects. Dig Dis Sci. 2014;59:2470–6. https://doi.org/10.1007/s10620-014-3214-3.

Article  CAS  PubMed  Google Scholar 

Adeva-Andany MM, Calvo-Castro I, Fernández-Fernández C, et al. Significance of l-carnitine for human health. IUBMB Life. 2017;69:578–94. https://doi.org/10.1002/iub.1646.

Article  CAS  PubMed  Google Scholar 

Costanzo M, Caterino M, Sotgiu G, et al. Sex differences in the human metabolome. Biol Sex Differ. 2022;13:30. https://doi.org/10.1186/s13293-022-00440-4.

Article  PubMed  PubMed Central  Google Scholar 

F M-J, Hk B, I C, et al. Sex- and gender-based pharmacological response to drugs. Pharmacol Rev. 2021;73. https://doi.org/10.1124/pharmrev.120.000206.

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