ReviewEmerging topics in life sciences2021
Use of nuclear magnetic resonance spectroscopy in diagnosis of inborn errors of metabolism.
Review in Emerging topics in life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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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.
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Who cites it
5 citing papers in PubMed.
- Article
- Photo-CIDNP for quantification of micromolar analytes in urine.Communications chemistry · 2025Article
- Exploring the World of Membrane Proteins: Techniques and Methods for Understanding Structure, Function, and Dynamics.Molecules (Basel, Switzerland) · 2023Review
- NMR and Metabolomics-A Roadmap for the Future.Metabolites · 2022Review
- Application of medical imaging methods and artificial intelligence in tissue engineering and organ-on-a-chip.Frontiers in bioengineering and biotechnology · 2022Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Nuclear Magnetic Resonance (NMR) spectroscopy has been applied in many fields of science and is increasingly being considered as a tool in the clinical setting. This review examines its application for diagnosis of inborn errors of metabolism (IEMs). IEMs, whether involving deficiency in the synthesis and degradation of metabolites, or in lipoprotein metabolism, affect nearly 3% of the global population. NMR is a preferred method for comprehensive evaluation of complex biofluids such as blood or urine, as it can provide a relatively unbiased overview of all compounds that are present and does not destroy or otherwise chemically alter the sample. While current newborn screening programs take advantage of other more sensitive methods, such as mass spectrometry, NMR has advantages especially for urine analysis with respect to ease of sample preparation and the reproducibility of results. NMR spectroscopy is particularly compatible with analysis of lipoproteins because it provides information about their size and density, not easily attained by other methods, that can help the clinician to better manage patients with dyslipidemia. We believe that NMR holds great potential for expanding clinical diagnosis in the future, in the field of IEMs and beyond.
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Registered trials
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