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http://dx.doi.org/10.6564/JKMRS.2018.22.4.149

1H NMR metabolomics study for diabetic neuropathy and diabetes  

Hyun, Ja-Shil (College of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University)
Yang, Jiwon (Department of Neurology, Gil Medical Center, Gachon University College of Medicine)
Kim, Hyun-Hwi (College of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University)
Lee, Yeong-Bae (Department of Neurology, Gil Medical Center, Gachon University College of Medicine)
Park, Sung Jean (College of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University)
Publication Information
Journal of the Korean Magnetic Resonance Society / v.22, no.4, 2018 , pp. 149-157 More about this Journal
Abstract
Diabetes is known to be one of common causes for several types of peripheral nerve damage. Diabetic neuropathy (DN) is a significant complication lowering the quality of life that can be frequently found in diabetes patients. In this study, the metabolomic characteristic of DN and Diabetes was investigated with NMR spectroscopy. The sera samples were collected from DN patients, Diabetes patients, and healthy volunteers. Based on the pair-wise comparison, three metabolites were found to be noticeable: glucose, obviously, was upregulated both in DN patients (DNP) and Diabetes. Citrate is also increased in both diseases. However, the dietary nutrient and biosynthesized metabolite from glucose, ascorbate, was elevated only in DNP, compared to healthy control. The multivariate model of OPLS-DA clearly showed the group separation between healthy control-DNP and healthy control-Diabetes. The most significant metabolites that contributed the group separation included glucose, citrate, ascorbate, and lactate. Lactate did not show the statistical significance of change in t-test while it tends to down-regulated both in DNP and Diabetes. We also conducted the ROC curve analysis to make a multivariate model for discrimination of healthy control and diseases with the identified three metabolites. As a result, the discrimination model between healthy control and DNP (or Diabetes) was successful while the model between DNP and Diabetes was not satisfactory for discrimination. In addition, multiple combinations of lactate and citrate in the OPLS-DA model of healthy control and diabetes group (DNP + Diabetes patients) gave good ROC value of 0.952, which imply these two metabolites could be used for diagnosis of Diabetes without glucose information.
Keywords
Diabetic neuropathy; diabetes; metabolomics; NMR;
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