ArticleNPJ digital medicine2019
Real-time health monitoring through urine metabolomics.
Article in NPJ digital medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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.
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Who cites it
47 citing papers in PubMed.
- Discovery urinary metabolomics of preterm neonatal acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2026Observational
- Metabolomic Profiles in Down Syndrome: A Scoping Review of Convergent and Context-Dependent Patterns.Journal of intellectual disability research : JIDR · 2026Article
- Structural Basis and Conformational Switching of Capture-SELEX Aptamers for Designing Equol Sensors.ACS omega · 2026Article
- Metabolic profiling reveals circadian rhythms and lifestyle-associated changes.Science China. Life sciences · 2026Article
- Integrating intestinal microbiome and urinary metabolome data to predict secondary infection in critically ill patients.Critical care (London, England) · 2026Article
- Ethnopharmacological knowledge and antibacterial activity of camel urine in southern Morocco: Influence of physiological, nutritional, and ecological factors.Open veterinary journal · 2026Article
- Integrated Metabolomics and Microbial Profiling in Patients with Irritable Bowel Syndrome.Journal of microbiology and biotechnology · 2026Article
- LC-MS-Based Metabolomics and Proteomics Sample Preparation of Urine: Methods and Multi-Omics Integration.Advances in experimental medicine and biology · 2026Review
- Urinary biochemical ecology reveals microbiome-metabolite interactions and metabolic markers of recurrent urinary tract infection.NPJ biofilms and microbiomes · 2025Article
- Prediction of irritable bowel syndrome by integrating urine metabolites and gut microbiota.Scientific reports · 2025Article
- Advancements and Challenges in Salivary Metabolomics for Early Detection and Monitoring of Systemic Diseases.MedComm · 2025Review
- Amino acid metabolism in breast cancer: pathogenic drivers and therapeutic opportunities.Protein & cell · 2025Review
- Metabolomics Signatures of a Respiratory Tract Infection During an Altitude Training Camp in Elite Rowers.Metabolites · 2025Article
- Urine metabolite profiling in Indian males exposed to high-altitude: a longitudinal pilot study.Scientific reports · 2025Article
- Headspace Injection Method for Intermittent Sampling and Profiling Analyses of Volatile Organic Compounds Using Dielectric Barrier Discharge Ionization (DBDI).Journal of the American Society for Mass Spectrometry · 2025Article
- Relationship between the level of mixed chemicals in male urine and the prevalence of male cancers, especially prostate cancer.Frontiers in public health · 2025Article
- Machine Learning and Metabolomics Predict Mesenchymal Stem Cell Osteogenic Differentiation in 2D and 3D Cultures.Journal of functional biomaterials · 2024Article
- Biochemical Characteristics of Urine Metabolomics in Female Giant Pandas at Different Estrous Stages.Animals : an open access journal from MDPI · 2024Article
- Diagnostic accuracy of urinary cytokeratin fragment-19 (CYFRA21-1) for bladder cancer.Narra J · 2024Article
- Longitudinal non-targeted metabolomic profiling of urine samples for monitoring of kidney transplantation patients.Renal failure · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Current healthcare practices are reactive and based on limited physiological information collected months or years apart. By enabling patients and healthy consumers access to continuous measurements of health, wearable devices and digital medicine stand to realize highly personalized and preventative care. However, most current digital technologies provide information on a limited set of physiological traits, such as heart rate and step count, which alone offer little insight into the etiology of most diseases. Here we propose to integrate data from biohealth smartphone applications with continuous metabolic phenotypes derived from urine metabolites. This combination of molecular phenotypes with quantitative measurements of lifestyle reflect the biological consequences of human behavior in real time. We present data from an observational study involving two healthy subjects and discuss the challenges, opportunities, and implications of integrating this new layer of physiological information into digital medicine. Though our dataset is limited to two subjects, our analysis (also available through an interactive web-based visualization tool) provides an initial framework to monitor lifestyle factors, such as nutrition, drug metabolism, exercise, and sleep using urine metabolites.
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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.