References

Biotechnology4you.com References

References

  1. American Diabetes Association. (2024). Standards of Care in Diabetes—2024. Diabetes Care, 47(Supplement 1), S1–S321. Link
  2. Emwas, A.-H., Roy, R., McKay, R. T., Ryan, D., Brennan, L., Tenori, L., Luchinat, C., Gao, X., Zeri, A. C., Gowda, G. A. N., Raftery, D., Steinbeck, C., Salek, R. M., & Wishart, D. S. (2022). NMR in metabolomics: From conventional statistics to machine learning and neural network approaches. NMR in Biomedicine, 35(4), e4638.
  3. Fiehn, O. (2002). Metabolomics—the link between genotypes and phenotypes. Plant Molecular Biology *48*(1-2), 155–171.
  4. Kaddurah-Daouk, R., & Weinshilboum, R. M. (2014). Pharmacometabolomics: implications for clinical pharmacology and systems pharmacology. Clinical Pharmacology & Therapeutics, *95*(2), 154–167.
  5. Nicholson, J. K., Lindon, J. C., & Holmes, E. (1999). 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica, 29(11), 1181–1189. Link
  6. Pavlova, N. N., & Thompson, C. B. (2016). The Emerging Hallmarks of Cancer Metabolism. Cell Metabolism, 23(1), 27–47. Link
  7. Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., ... & Gerszten, R. E. (2011). Metabolite profiles and the risk of developing diabetes. Nature Medicine, *17*(4), 448–453.
  8. Wishart, D. S. (2019). Metabolomics for Investigating Physiological and Pathophysiological Processes. Physiological Reviews, 99(4), 1819–1875. Link
  9. Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009). Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science, 324(5930), 1029–1033.
  10. R. Ju, X. Liu and F. Zheng, et al., Removal of false positive features to generate authentic peak table for high-resolution mass spectrometry-based metabolomics study, Anal. Chim. Acta, 2019, 1067, 79–87