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The metabolic composition of human biofluids can provide important diagnostic and prognostic information. Among the biofluids most commonly analyzed in metabolomic studies, urine appears to be particularly useful. It is abundant, readily available, easily stored and can be collected by simple, noninvasive techniques. Moreover, given its chemical complexity, urine is particularly rich in potential disease biomarkers. This makes it an ideal biofluid for detecting or monitoring disease processes. Among the metabolomic tools available for urine analysis, NMR spectroscopy has proven to be particularly well-suited, because the technique is highly reproducible and requires minimal sample handling. As it permits the identification and quantification of a wide range of compounds, independent of their chemical properties, NMR spectroscopy has been frequently used to detect or discover disease fingerprints and biomarkers in urine. Although protocols for NMR data acquisition and processing have been standardized, no consensus on protocols for urine sample selection, collection, storage and preparation in NMR-based metabolomic studies have been developed. This lack of consensus may be leading to spurious biomarkers being reported and may account for a general lack of reproducibility between laboratories. Here, we review a large number of published studies on NMR-based urine metabolic profiling with the aim of identifying key variables that may affect the results of metabolomics studies. From this survey, we identify a number of issues that require either standardization or careful accounting in experimental design and provide some recommendations for urine collection, sample preparation and data acquisition.
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http://dx.doi.org/10.1007/s11306-014-0746-7 | DOI Listing |
J Clin Invest
September 2025
The University of Texas at Austin, Austin, United States of America.
Background: Following SARS-CoV-2 infection, ~10-35% of COVID-19 patients experience long COVID (LC), in which debilitating symptoms persist for at least three months. Elucidating biologic underpinnings of LC could identify therapeutic opportunities.
Methods: We utilized machine learning methods on biologic analytes provided over 12-months after hospital discharge from >500 COVID-19 patients in the IMPACC cohort to identify a multi-omics "recovery factor", trained on patient-reported physical function survey scores.
Metabolomics
September 2025
Laboratoire de Biochimie et Biologie Moléculaire, Centre Hospitalier Universitaire, Angers, France.
Introduction: The definition of Leber's hereditary optic neuropathy (LHON) does not take into account a preclinical phase during which the thickness of retinal nerve fiber layer (RNFL) is increased, prior to optic nerve atrophy, reducing the chances of visual recovery.
Objectives: Search for a metabolomic signature characterizing this preclinical phase and identify biomarkers predicting the risk of LHON onset.
Methods And Results: The blood and tear metabolomic profiles of 90 asymptomatic LHON mutation carriers followed for one year will be explored as a function of RNFL thickness and compared to those of a healthy control.
Metabolomics
September 2025
Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.
Introduction: Knockout of the Fmo5 gene in mice led to a lean, slow-ageing phenotype characterised by the presence of 2,3-butanediol isomers in their urine and plasma. Oral treatment of wildtype mice with 2,3-butanediol led to a low cholesterol, low epididymal fat phenotype.
Objectives: Determine if significant, heterozygous coding variations in human FMO5 would give rise to similar clinical and metabolic phenotypes in humans, as in C57BL/6J mice with knockout of the Fmo5 gene and in particular, increased excretion of 2,3-butanediol.
Orthod Craniofac Res
September 2025
Department of Orthodontics, College of Dentistry, University of Florida, Gainesville, Florida, USA.
Objective(s): In this pilot study, exosomes from saliva were isolated and tested for the presence of metabolomic biomarkers for physiological external root resorption and/or pathological alveolar bone resorption.
Settings And Sample Population: Saliva samples of 20 individuals in the mixed dentition stage of dental development.
Materials And Methods: Saliva was obtained from healthy control children with resorbing primary teeth or children with localised aggressive periodontitis (LAP) showing alveolar bone loss but little root resorption.
Analyst
September 2025
Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
: Postmenopausal conditions can lead to metabolic disorders such as obesity and steatosis. (PT), a prominent traditional Chinese medicine, exerts potential therapeutic effects against hepatic injury. Nevertheless, the extent to which PT ameliorates liver damage resulting from estrogen deficiency, along with the associated mechanisms, remains poorly understood.
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