ArticleDiabetes care2023
Prediction of Cardiometabolic Health Through Changes in Plasma Proteins With Intentional Weight Loss in the DiRECT and DIADEM-I Randomized Clinical Trials of Type 2 Diabetes Remission.
Article in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Cardioprotective therapy in type 2 diabetes guided by a proteomic risk model: A randomized trial.American journal of preventive cardiology · 2026Article
- Leveraging Multiomic Signatures to Predict Body Composition.Advances in nutrition (Bethesda, Md.) · 2026Review
- The need for clinical studies assessing whether weight loss improves functional outcome after stroke in diabetes.BMC medicine · 2026Review
- Utilization of Proteomic Measures for Early Detection of Drug Benefits and Adverse Effects.Journal of clinical pharmacology · 2025Article
- Linear and non-linear proteome-wide association studies provide novel insight into venous thromboembolism.Nature communications · 2025Article
- Low Energy Diets for Obesity and CKD (SLOW-CKD Randomized Feasibility Study).Kidney international reports · 2025Article
- Association of changes in the type 2 diabetes and MASLD/related SLD status with risk of developing cardiovascular disease.Diabetes, obesity & metabolism · 2025Article
- Novel therapeutic targets for metabolism-related diseases: proteomic Mendelian randomization and colocalization analyses.Therapeutic advances in endocrinology and metabolism · 2025Article
- Age- and sex-related variations in extracellular vesicle profiling for the assessment of cardiovascular risk: the EVaging index.npj aging · 2024Article
- Exploring the design of clinical research studies on the efficacy mechanisms in type 2 diabetes mellitus.Frontiers in endocrinology · 2024Review
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 3 countries.
Funding
Abstract
objectiveTo determine the extent to which changes in plasma proteins, previously predictive of cardiometabolic outcomes, predict changes in two diabetes remission trials. RESEARCH DESIGN AND
methodsWe applied SomaSignal predictive tests (each derived from ∼5,000 plasma protein measurements using aptamer-based proteomics assay) to baseline and 1-year samples of trial intervention (Diabetes Remission Clinical Trial [DiRECT], n = 118, and Diabetes Intervention Accentuating Diet and Enhancing Metabolism [DIADEM-I], n = 66) and control (DiRECT, n = 144, DIADEM-I, n = 76) group participants.
resultsMean (SD) weight loss in DiRECT (U.K.) and DIADEM-I (Qatar) was 10.2 (7.4) kg and 12.1 (9.5) kg, respectively, vs. 1.0 (3.7) kg and 4.0 (5.4) kg in control groups. Cardiometabolic SomaSignal test results showed significant improvement (Bonferroni-adjusted P < 0.05) in DiRECT and DIADEM-I (expressed as relative difference, intervention minus control) as follows, respectively: liver fat (-26.4%, -37.3%), glucose tolerance (-36.6%, -37.4%), body fat percentage (-8.6%, -8.7%), resting energy rate (-8.0%, -5.1%), visceral fat (-34.3%, -26.1%), and cardiorespiratory fitness (9.5%, 10.3%). Cardiovascular risk (measured with SomaSignal tests) also improved in intervention groups relative to control, but this was significant only in DiRECT (DiRECT, -44.2%, and DIADEM-I, -9.2%). However, weight loss >10 kg predicted significant reductions in cardiovascular risk, -19.1% (95% CI -33.4 to -4.91) in DiRECT and -33.4% (95% CI -57.3, -9.6) in DIADEM-I. DIADEM-I also demonstrated rapid emergence of metabolic improvements at 3 months.
conclusionsIntentional weight loss in recent-onset type 2 diabetes rapidly induces changes in protein-based risk models consistent with widespread cardiometabolic improvements, including cardiorespiratory fitness. Protein changes with greater (>10 kg) weight loss also predicted lower cardiovascular risk, providing a positive outlook for relevant ongoing trials.
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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.