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Journal ArticleDOI

1H NMR-based metabolomics studies of urine reveal differences between type 1 diabetic patients with high and low HbAc1 values.

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TLDR
Application of (1)H NMR spectroscopy together with target analysis and chemometric tools based on urine metabolite concentration enable to monitor T1D patients, with results suggesting increased levels of alanine, pyruvate and branched amino acid valine might be related with endogenous glucose production pathway from proteins as well as in the case of T2D.
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This article is published in Journal of Pharmaceutical and Biomedical Analysis.The article was published on 2013-09-01. It has received 28 citations till now. The article focuses on the topics: Urine.

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Citations
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Book ChapterDOI

The strengths and weaknesses of NMR spectroscopy and mass spectrometry with particular focus on metabolomics research.

TL;DR: In this chapter, the advantages, limitations, strengths, and weaknesses of NMR and MS as tools applicable to metabolomics research are highlighted.
Journal ArticleDOI

High-Throughput Metabolomics by 1D NMR

TL;DR: From the analytical point of view, NMR has pros and cons but does provide a peculiar holistic perspective that may speak for its future adoption as a population‐wide health screening technique.
Journal ArticleDOI

Recommendations and Standardization of Biomarker Quantification Using NMR-Based Metabolomics with Particular Focus on Urinary Analysis

TL;DR: A number of the most significant issues regarding NMR-based urinary metabolomics with specific emphasis on metabolite quantification for disease biomarker applications are discussed and propose data collection and instrumental recommendations regarding N MR pulse sequences, acceptable acquisition parameter ranges, relaxation effects on quantitation, proper handling of instrumental differences, sample preparation, and biomarker assessment.
Journal ArticleDOI

Signature Mapping (SigMa): An efficient approach for processing complex human urine 1H NMR metabolomics data

TL;DR: This study demonstrates a new method, Signature Mapping (SigMa), for the rapid and efficient conversion of raw urine NMR spectra into an informative metabolite table, and has proven to be extraordinarily efficient, quantitatively reliable and robust.
References
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Journal ArticleDOI

Metabolomics - the link between genotypes and phenotypes

TL;DR: In this review, the differences among metabolite target analysis, metabolite profiling, and metabolic fingerprinting are clarified, and terms are defined.
Journal ArticleDOI

'metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological nmr spectroscopic data

TL;DR: Metabonomics: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data by using NMR data from Xenobiotica.
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International Expert Committee Report on the Role of the A1C Assay in the Diagnosis of Diabetes

TL;DR: Kilpatrick et al. as mentioned in this paper discussed the limitations of the A1C assay for populations in which it is not available or is currently too expensive, as well as for individuals in whom the assay may be misleading.

International expert committee report on the role of the A1C assay in the diagnosis of diabetes

TL;DR: Members of the International Expert Committee have recommended that diabetes should be diagnosed if A1C is ≤6.5%, without need to measure the plasma glucose concentration, but there are concerns that practical limitations will lead to false positives and negatives with this approach.
Journal ArticleDOI

OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification†

TL;DR: In this paper, class-orthogonal variation can be exploited to augment classificaiton analysis (OPLS-DA) for the purpose of discriminant analysis, and the OPLS method can be used to augment classification.
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