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References: [1] Wishart DS. Metabolomics for Investigating Physiological and Pathophysiological Processes. Physiol Rev. 2019 Oct 1;99(4):1819–75. https://journ
by danielgomari 4y ago
References:
[1] Wishart DS. Metabolomics for Investigating Physiological and Pathophysiological Processes. Physiol Rev. 2019 Oct 1;99(4):1819–75. https://journals.physiology.org/doi/full/10.1152/physrev.00035.2018 https://journals.physiology.org/doi/full/10.1152/physrev.000...
[2] Wishart DS, Tzur D, Knox C, Eisner R, Guo AC, Young N, et al. HMDB: the Human Metabolome Database. Nucleic Acids Res. 2007 Jan;35(Database issue):D521-526. https://academic.oup.com/nar/article/35/suppl_1/D521/1109186 https://academic.oup.com/nar/article/35/suppl_1/D521/1109186
[3] Wishart DS. Current progress in computational metabolomics. Brief Bioinform. 2007 Sep;8(5):279–93. https://academic.oup.com/bib/article/8/5/279/217981 https://academic.oup.com/bib/article/8/5/279/217981
[4] Nordström A, O’Maille G, Qin C, Siuzdak G. Nonlinear data alignment for UPLC-MS and HPLC-MS based metabolomics: quantitative analysis of endogenous and exogenous metabolites in human serum. Anal Chem. 2006 May 15;78(10):3289–95. https://pubs.acs.org/doi/10.1021/ac060245f https://pubs.acs.org/doi/10.1021/ac060245f
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[6] Ahadi, Sara, et al. "Personal aging markers and ageotypes revealed by deep longitudinal profiling." Nature Medicine 26.1 (2020): 83-90. https://www.nature.com/articles/s41591-019-0719-5 https://www.nature.com/articles/s41591-019-0719-5
[7] Pietzner, Maik, et al. "Plasma metabolites to profile pathways in noncommunicable disease multimorbidity." Nature medicine 27.3 (2021): 471-479. https://www.nature.com/articles/s41591-021-01266-0 https://www.nature.com/articles/s41591-021-01266-0
[8] Merino, Jordi, et al. "Metabolomics insights into early type 2 diabetes pathogenesis and detection in individuals with normal fasting glucose." Diabetologia 61.6 (2018): 1315-1324. https://pubmed.ncbi.nlm.nih.gov/29626220/ https://pubmed.ncbi.nlm.nih.gov/29626220/
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