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Advantage of Applying OSC to 1 H NMR-Based Metabonomic Data of Celiac Disease

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TLDR
The OSC, a filtering method for minimization of inter- and intra-spectrometer variations that influence on data acquisition, was applied to biofluid NMR data of CD patients and four metabolites are introduced as CD biomarkers.
Abstract
Background Celiac disease (CD) is a disorder associated with body reaction to gluten. After the gluten intake, an immune reaction against the protein occurs and damages villi of small intestine in celiac patients gradually.

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Application of metabolomics in autoimmune diseases: Insight into biomarkers and pathology

TL;DR: This review outlines recent advances in the use of metabolomic techniques to study autoimmune diseases (ADs), including multiple sclerosis, rheumatoid arthritis, inflammatory bowel diseases (IBD), autoimmune diabetes et al.
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The urinary 1 H-NMR metabolomics profile of an italian autistic children population and their unaffected siblings.

TL;DR: Nuclear magnetic resonance‐based metabolomics analysis of the urine seems to have the potential for the identification of a metabolic fingerprint of ASD phenotypes and appears to be suitable for further investigation of the disease mechanisms.
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The metabolomics and lipidomics window into thyroid cancer research

TL;DR: Attempts are still in progress to use these methods to find a reliable biomarker panel besides current diagnostic tools in the field of thyroid cancer research.
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Characterization of the serum metabolic profile of dairy cows with milk fever using 1H-NMR spectroscopy

TL;DR: The different metabolites in cows with MF reflected the pathological features of negative energy balance and fat mobilization, suggesting that MF is associated with altered energy metabolism.
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Metabolomics-based studies in the field of Leishmania/leishmaniasis

TL;DR: The present review highlights the role of metabolomics approach in the field of Leishmania research and introduces several important metabolite signatures introduced in various aspect of leishmania parasite such as drug resistance and parasite biology which would be useful in theField of biomarker and drug discovery process.
References
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Journal ArticleDOI

Principal component analysis

TL;DR: Principal Component Analysis is a multivariate exploratory analysis method useful to separate systematic variation from noise and to define a space of reduced dimensions that preserve noise.
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Modified Spin‐Echo Method for Measuring Nuclear Relaxation Times

TL;DR: In this article, a spin echo method adapted to the measurement of long nuclear relaxation times (T2) in liquids is described, and the pulse sequence is identical to the one proposed by Carr and Purcell, but the rf of the successive pulses is coherent, and a phase shift of 90° is introduced in the first pulse.
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'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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The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses

TL;DR: In this article, the use of Partial Least Squares (PLS) for handling collinearities among the independent variables X in multiple regression is discussed, and successive estimates are obtained using the residuals from previous rank as a new dependent variable y.
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Orthogonal projections to latent structures (O-PLS)

TL;DR: In this article, a generic preprocessing method for multivariate data, called orthogonal projections to latent structures (O-PLS), is described, which removes variation from X (descriptor variables) that is not correlated to Y (property variables, e.g. yield, cost or toxicity).
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