Improved experimental data processing for UHPLC–HRMS/MS lipidomics applied to nonalcoholic fatty liver disease
Author:
Funder
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism
Link
http://link.springer.com/article/10.1007/s11306-017-1280-1/fulltext.html
Reference35 articles.
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2. Bril, F., & Cusi, K. (2016). Nonalcoholic fatty liver disease: The new complication of type 2 diabetes mellitus. Endocrinology and Metabolism Clinics of North America, 45(4), 765–781. doi: 10.1016/j.ecl.2016.06.005 .
3. Broadhurst, D. I., & Kell, D. B. (2006). Statistical strategies for avoiding false discoveries in metabolomics and related experiments. Metabolomics, 2(4), 171–196. doi: 10.1007/s11306-006-0037-z .
4. Browning, J. D., Szczepaniak, L. S., Dobbins, R., Nuremberg, P., Horton, J. D., Cohen, J. C., et al. (2004). Prevalence of hepatic steatosis in an urban population in the United States: Impact of ethnicity. Hepatology, 40(6), 1387–1395.
5. Castro-Perez, J. M., Kamphorst, J., Degroot, J., Lafeber, F., Goshawk, J., Yu, K., et al. (2010). Comprehensive LC–MS E lipidomic analysis using a shotgun approach and its application to biomarker detection and identification in osteoarthritis patients research articles. Journal of Proteome Research, 9, 2377–2389.
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