ArticleScientific reports2022
Cross-sectional metabolic subgroups and 10-year follow-up of cardiometabolic multimorbidity in the UK Biobank.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Dementia risk across distinct metabolic profiles in the UK Biobank.GeroScience · 2026Article
- MetaboHealth and Metabolic Vulnerability Index as Risk Factors for Cardio-Renal-Metabolic Multimorbidity: A Large-Scale Prospective Cohort Study.Diabetes, obesity & metabolism · 2026Article
- Gaps Between Guidelines and Practice in Patients with Hypertension and Type 2 Diabetes: A Nationwide Cross-Sectional Study (SNAPSHOT-Brazil Study).Journal of clinical medicine · 2026Article
- Multi-organ network of cardiometabolic disease-depression multimorbidity revealed by phenotypic and genetic analyses of MR images.Nature communications · 2026Article
- Association between C-reactive protein-triglyceride glucose index and all-cause mortality and premature death: a joint analysis based on case data from the Central Hospital of Shaoyang and CHARLS database.Frontiers in medicine · 2025Article
- An unsupervised cluster analysis of multimorbidity patterns in older adults in Shenzhen, China.Frontiers in public health · 2025Article
- Unsupervised clustering identified clinically relevant metabolic syndrome endotypes in UK and Taiwan Biobanks.iScience · 2024Article
- Influence of age and sex on longitudinal metabolic profiles and body weight trajectories in the UK Biobank.International journal of epidemiology · 2024Article
- Novel subgroups of obesity and their association with outcomes: a data-driven cluster analysis.BMC public health · 2024Article
- Longitudinal metabolomics of increasing body-mass index and waist-hip ratio reveals two dynamic patterns of obesity pandemic.International journal of obesity (2005) · 2023Observational
- Metabolic profile-based subgroups can identify differences in brain volumes and brain iron deposition.Diabetes, obesity & metabolism · 2023Article
- Clustered Mendelian randomization analyses identify distinct and opposing pathways in the association between genetically influenced insulin-like growth factor-1 and type 2 diabetes mellitus.International journal of epidemiology · 2022Article
- Considering hormone-sensitive cancers as a single disease in the UK biobank reveals shared aetiology.Communications biology · 2022Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
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Abstract
We assigned 329,908 UK Biobank participants into six subgroups based on a self-organizing map of 51 biochemical measures (blinded for clinical outcomes). The subgroup with the most favorable metabolic traits was chosen as the reference. Hazard ratios (HR) for incident disease were modeled by Cox regression. Enrichment ratios (ER) of incident multi-morbidity versus randomly expected co-occurrence were evaluated by permutation tests; ER is like HR but captures co-occurrence rather than event frequency. The subgroup with high urinary excretion without kidney stress (HR = 1.24) and the subgroup with the highest apolipoprotein B and blood pressure (HR = 1.52) were associated with ischemic heart disease (IHD). The subgroup with kidney stress, high adiposity and inflammation was associated with IHD (HR = 2.11), cancer (HR = 1.29), dementia (HR = 1.70) and mortality (HR = 2.12). The subgroup with high liver enzymes and triglycerides was at risk of diabetes (HR = 15.6). Multimorbidity was enriched in metabolically favorable subgroups (3.4 ≤ ER ≤ 4.0) despite lower disease burden overall; the relative risk of co-occurring disease was higher in the absence of obvious metabolic dysfunction. These results provide synergistic insight into metabolic health and its associations with cardiovascular disease in a large population sample.
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