ArticleAnalytical chemistry2009
Interdependence of signal processing and analysis of urine 1H NMR spectra for metabolic profiling.
Article in Analytical chemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04257877 (Targeted Proteomic Analysis in the Plasma of Children With Diabetes Type 1 and Its Association With Peripheral Diabetic Neuropathy), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Targeted Proteomic Analysis in the Plasma of Children With Diabetes Type 1 and Its Association With Peripheral Diabetic Neuropathy
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metabolomics for exposure assessment and toxicity effects of occupational pollutants: current status and future perspectives.Metabolomics : Official journal of the Metabolomic Society · 2022Pooled it
- Semi-Targeted Nuclear Magnetic Resonance Metabolomics via Parahydrogen-Induced Hyperpolarization for Enhanced Sensitivity to Metabolic Composition.Journal of the American Chemical Society · 2025Article
- Pretreating and normalizing metabolomics data for statistical analysis.Genes & diseases · 2024Review
- A Real-Life Reproducibility Assessment for NMR Metabolomics.Diagnostics (Basel, Switzerland) · 2022Article
- The Effect of Oxidative Stress on the Chicken Ovary: Involvement of Microbiota and Melatonin Interventions.Antioxidants (Basel, Switzerland) · 2021Article
- Metabolomics applied to maternal and perinatal health: a review of new frontiers with a translation potential.Clinics (Sao Paulo, Brazil) · 2019Review
- "Metabolic and cardiovascular response to exercise in patients with type 1 diabetes".Journal of endocrinological investigation · 2017 · on this mapObservational
- Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis.Scientific reports · 2016Article
- Dynamic metabolites profile of cerebral ischemia/reperfusion revealed by (1)H NMR-based metabolomics contributes to potential biomarkers.International journal of clinical and experimental pathology · 2014Article
- Introduction of a new critical p value correction method for statistical significance analysis of metabonomics data.Analytical and bioanalytical chemistry · 2013Article
- State-of-the art data normalization methods improve NMR-based metabolomic analysis.Metabolomics : Official journal of the Metabolomic Society · 2012Article
- Metabolomics approach for analyzing the effects of exercise in subjects with type 1 diabetes mellitus.PloS one · 2012Article
- Metabolomic phenotyping of a cloned pig model.BMC physiology · 2011Article
- Identification and quantification of metabolites in (1)H NMR spectra by Bayesian model selection.Bioinformatics (Oxford, England) · 2011Article
- Use of 1H nuclear magnetic resonance to measure intracellular metabolite levels during growth and asexual sporulation in Neurospora crassa.Eukaryotic cell · 2011Article
- Use of optimized 1D TOCSY NMR for improved quantitation and metabolomic analysis of biofluids.Journal of biomolecular NMR · 2011Article
- Metabolomics of oxidative stress in recent studies of endogenous and exogenously administered intermediate metabolites.International journal of molecular sciences · 2011Review
- Advances in NMR-based biofluid analysis and metabolite profiling.The Analyst · 2010Review
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Metabolic profiling of urine presents challenges because of the extensive random variation of metabolite concentrations and the dilution resulting from changes in the overall urine volume. Thus statistical analysis methods play a particularly important role; however, appropriate choices of these methods are not straightforward. Here we investigate constant and variance-stabilization normalization of raw and peak picked spectra, for use with exploratory analysis (principal component analysis) and confirmatory analysis (ordinary and Empirical Bayes t-test) in (1)H NMR-based metabolic profiling of urine. We compare the performance of these methods using urine samples spiked with known metabolites according to a Latin square design. We find that analysis of peak picked and logarithm-transformed spectra is preferred, and that signal processing and statistical analysis steps are interdependent. While variance-stabilizing transformation is preferred in conjunction with principal component analysis, constant normalization is more appropriate for use with a t-test. Empirical Bayes t-test provides more reliable conclusions when the number of samples in each group is relatively small. Performance of these methods is illustrated using a clinical metabolomics experiment on patients with type 1 diabetes to evaluate the effect of insulin deprivation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.