ArticleNature medicine2022
Metabolomic profiles predict individual multidisease outcomes.
Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 256 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
256 citing papers in PubMed, 1 synthesis or guideline pooled it, 371 citations in OpenAlex.
- Impact of Low Testosterone and SHBG Levels on Heart Failure Risk: A Systematic Review and Meta-Analysis.Arquivos brasileiros de cardiologia · 2025Pooled it
- Effects of daily multivitamin-multimineral supplementation on metabolomic profiles: 2-year findings from the COSMOS randomized clinical trial.GeroScience · 2026Trial
- A multi-metabolite signature robustly predicts long-term mortality in the PREDIMED trial and several US cohorts.Metabolism: clinical and experimental · 2025Trial
- Disease activity and treatment response in early rheumatoid arthritis: an exploratory metabolomic profiling in the NORD-STAR cohort.Arthritis research & therapy · 2025Trial
- The perspective of artificial intelligence for NMR.Magnetic resonance letters · 2027Review
- Metabolomic signatures of brain aging: A multimodal and genetic study.Molecular psychiatry · 2026Article
- Expanding the pig metabolomics QTL catalog.Genetics, selection, evolution : GSE · 2026Article
- Identifying low-quality features and suboptimal models to enhance phenotype prediction.Patterns (New York, N.Y.) · 2026Article
- Genomic Medicine Sweden: Advancing precision medicine at the national level.Journal of internal medicine · 2026Review
- MetaboHealth and Metabolic Vulnerability Index as Risk Factors for Cardio-Renal-Metabolic Multimorbidity: A Large-Scale Prospective Cohort Study.Diabetes, obesity & metabolism · 2026Article
- Chemical Derivatization Strategies for Expanding Small Biomolecule Analysis by MALDI-MS.Metabolites · 2026Review
- Metabolomic Profiles in Down Syndrome: A Scoping Review of Convergent and Context-Dependent Patterns.Journal of intellectual disability research : JIDR · 2026Article
- A high-resolution circulating metabolic atlas of lung adenocarcinoma progression supports early and accurate diagnosis.Cell reports. Medicine · 2026Article
- A Shared Systemic Metabolic Signature Across the Neurological Disease Spectrum: A Summary-Level Analysis of 274,241 UK Biobank Participants.Biomedicines · 2026Article
- Metabolites stratify future major depressive disorder risk in obese population: a longitudinal machine learning analysis.Psychological medicine · 2026Article
- Exercise and Sports Metabolomics: Analytical Platforms, Metabolite Annotation, Pathway-Level Interpretation, and Biomarker-Panel Readiness.Metabolites · 2026Review
- Plasma Metabolite Associations with Incident Heart Failure with Reduced and Preserved Ejection Fraction.medRxiv : the preprint server for health sciences · 2026Article
- Plasma metabolomic signatures of heterogeneous multimorbidity trajectories in ageing: a population-based cohort study.GeroScience · 2026Article
- Seven routine blood markers predict five-year mortality in older Indians: a risk score from the LASI-DAD cohort.Research square · 2026Article
- Donor-Independent Metabolomics Enables Bloodstain Age Determination at Crime Scenes.Journal of proteome research · 2026Article
196 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors at 9 institutions in 5 countries.
Funding
Abstract
Risk stratification is critical for the early identification of high-risk individuals and disease prevention. Here we explored the potential of nuclear magnetic resonance (NMR) spectroscopy-derived metabolomic profiles to inform on multidisease risk beyond conventional clinical predictors for the onset of 24 common conditions, including metabolic, vascular, respiratory, musculoskeletal and neurological diseases and cancers. Specifically, we trained a neural network to learn disease-specific metabolomic states from 168 circulating metabolic markers measured in 117,981 participants with ~1.4 million person-years of follow-up from the UK Biobank and validated the model in four independent cohorts. We found metabolomic states to be associated with incident event rates in all the investigated conditions, except breast cancer. For 10-year outcome prediction for 15 endpoints, with and without established metabolic contribution, a combination of age and sex and the metabolomic state equaled or outperformed established predictors. Moreover, metabolomic state added predictive information over comprehensive clinical variables for eight common diseases, including type 2 diabetes, dementia and heart failure. Decision curve analyses showed that predictive improvements translated into clinical utility for a wide range of potential decision thresholds. Taken together, our study demonstrates both the potential and limitations of NMR-derived metabolomic profiles as a multidisease assay to inform on the risk of many common diseases simultaneously.
Indexed as
Identifiers
What OpenQuestion holds
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.