Combining metabolomic non-targeted GC×GC–ToF–MS analysis and chemometric ASCA-based study of variances to assess dietary influence on type 2 diabetes development in a mouse model-Reference-Cited by-同舟云学术

Combining metabolomic non-targeted GC×GC–ToF–MS analysis and chemometric ASCA-based study of variances to assess dietary influence on type 2 diabetes development in a mouse model

Published:2014-11-29 Issue:1 Volume:407 Page:343-354
ISSN:1618-2642
Container-title:Analytical and Bioanalytical Chemistry
language:en
Short-container-title:Anal Bioanal Chem

Author:

Ly-Verdú Saray,Gröger Thomas Maximilian,Arteaga-Salas Jose Manuel,Brandmaier Stefan,Kahle Melanie,Neschen Susanne,Harbě de Angelis Martin,Zimmermann Ralf

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry,Analytical Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s00216-014-8227-4.pdf

Reference25 articles.

1. Stumvoll M, Goldstein BJ, van Haeften TW (2005) Type 2 diabetes: principles of pathogenesis and therapy. Lancet 365(9467):1333–1346. doi: 10.1016/S0140-6736(05)61032-X

2. Marchesini G, Brizi M, Morselli-Labate AM, Bianchi G, Bugianesi E, McCullough AJ, Forlani G, Melchionda N (1999) Association of nonalcoholic fatty liver disease with insulin resistance. Am J Med 107(5):450–455. doi: 10.1016/S0002-9343(99)00271-5

3. DeFronzo RA (2009) From the triumvirate to the ominous octet: a new paradigm for the treatment of type 2 diabetes mellitus. Diabetes 58(4):773–795. doi: 10.2337/db09-9028

4. Bain JR, Stevens RD, Wenner BR, Ilkayeva O, Muoio DM, Newgard CB (2009) Metabolomics applied to diabetes research: moving from information to knowledge. Diabetes 58(11):2429–2443. doi: 10.2337/db09-0580

5. Patti GJ, Yanes O, Siuzdak G (2012) Innovation: metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol 13(4):263–269

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