The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Quantitative Metabolomics by 1H-NMR and LC-MS/MS Confirms Altered Metabolic Pathways in Diabetes
Open accessAbstract
Insulin is as a major postprandial hormone with profound effects on carbohydrate, fat, and protein metabolism. In the absence of exogenous insulin, patients with type 1 diabetes exhibit a variety of metabolic abnormalities including hyperglycemia, glycosurea, accelerated ketogenesis, and muscle wasting due to increased proteolysis. We analyzed plasma from type 1 diabetic (T1D) humans during insulin treatment (I+) and acute insulin deprivation (I-) and non-diabetic participants (ND) by (1)H nuclear magnetic resonance spectroscopy and liquid chromatography-tandem mass spectrometry. The aim was to determine if this combination of analytical methods could provide information on metabolic pathways known to be altered by insulin deficiency. Multivariate statistics differentiated proton spectra from I- and I+ based on several derived plasma metabolites that were elevated during insulin deprivation (lactate, acetate, allantoin, ketones). Mass spectrometry revealed significant perturbations in levels of plasma amino acids and amino acid metabolites during insulin deprivation. Further analysis of metabolite levels measured by the two analytical techniques indicates several known metabolic pathways that are perturbed in T1D (I-) (protein synthesis and breakdown, gluconeogenesis, ketogenesis, amino acid oxidation, mitochondrial bioenergetics, and oxidative stress). This work demonstrates the promise of combining multiple analytical methods with advanced statistical methods in quantitative metabolomics research, which we have applied to the clinical situation of acute insulin deprivation in T1D to reflect the numerous metabolic pathways known to be affected by insulin deficiency.
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Wolfe, A. J. (2005) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.69.1.12-50.2005 · Cited by 1,233
Orešič, M., Simell, S., Sysi-Aho, M., Näntö-Salonen, K., Seppänen-Laakso, T., Parikka, V., Katajamaa, M., Hekkala, A., Mattila, I., Keskinen, P., et al. (2008) · The Journal of Experimental Medicine · doi:10.1084/jem.20081800 · Cited by 449
Influence of endogenous insulin secretion on splanchnic glucose and amino acid metabolism in man
Felig, P., & Wahren, J. (1971) · Journal of Clinical Investigation · doi:10.1172/jci106659 · Cited by 269
Protein dynamics in whole body and in splanchnic and leg tissues in type I diabetic patients.
Nair, K. S., Ford, G. C., Ekberg, K., Fernqvist-Forbes, E., & Wahren, J. (1995) · Journal of Clinical Investigation · doi:10.1172/jci118000 · Cited by 239
Self-citationKarakelides, H., Asmann, Y. W., Bigelow, M. L., Short, K. R., Dhatariya, K., Coenen-Schimke, J., Kahl, J., Mukhopadhyay, D., & Nair, K. S. (2007) · Diabetes · doi:10.2337/db07-0378 · Cited by 123
Self-citationIncreased energy expenditure in poorly controlled Type 1 (insulin-dependent) diabetic patients
Nair, K. S., Halliday, D., & Garrow, J. S. (1984) · Diabetologia · doi:10.1007/bf00253494 · Cited by 122
Self-citationJaleel, A., Klaus, K. A., Morse, D. M., Karakelides, H., Ward, L. E., Irving, B. A., & Nair, K. S. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00351.2009 · Cited by 23
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Want, E. J., Masson, P., Michopoulos, F., Wilson, I. D., Theodoridis, G., Plumb, R. S., Shockcor, J., Loftus, N., Holmes, E., & Nicholson, J. K. (2013) · Nature Protocols · doi:10.1038/nprot.2012.135 · Cited by 1,611
Comprehensive review on lactate metabolism in human health
Adeva-Andany, M., López-Ojén, M., Funcasta-Calderón, R., Ameneiros-Rodríguez, E., Donapetry-García, C., Vila-Altesor, M., & Rodríguez-Seijas, J. (2014) · Mitochondrion · doi:10.1016/j.mito.2014.05.007 · Cited by 615
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Zeki, Ö. C., Eylem, C. C., Reçber, T., Kır, S., & Nemutlu, E. (2020) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2020.113509 · Cited by 336
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Scherer, T., Sakamoto, K., & Buettner, C. (2021) · Nature Reviews Endocrinology · doi:10.1038/s41574-021-00498-x · Cited by 205
FoxO Transcription Factors Are Critical Regulators of Diabetes-Related Muscle Atrophy
O’Neill, B. T., Bhardwaj, G., Penniman, C. M., Krumpoch, M. T., Suarez Beltran, P. A., Klaus, K., Poro, K., Li, M., Pan, H., Dreyfuss, J. M., et al. (2019) · Diabetes · doi:10.2337/db18-0416 · Cited by 167
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Metadata
- Authors
- Lanza, I. R., Zhang, S., Ward, L. E., Karakelides, H., Raftery, D., & Nair, K. S.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-05-10
- Volume
- 5
- Issue
- 5
- Pages
- e10538
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2063523286
- Cited by
- 266
- References
- 7
- FWCI
- 8.39
- Type
- journal article
- Language
- en
- Open access
- gold
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- Lanza, I. R., Zhang, S., Ward, L. E., Karakelides, H., Raftery, D., & Nair, K. S. (2010). Quantitative Metabolomics by 1H-NMR and LC-MS/MS Confirms Altered Metabolic Pathways in Diabetes. PLoS ONE. https://doi.org/10.1371/journal.pone.0010538
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