SynthesisDiabetes care2016
Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis.
Synthesis in Diabetes care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06959043 (Therapeutic Strategies for Type 2 Diabetes Based on Lifestyle Changes), which is not on this map. Cited by 537 papers, 9 of them syntheses 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.
Therapeutic Strategies for Type 2 Diabetes Based on Lifestyle Changes: Plant-based Diet and Physical Exercise
Who cites it
537 citing papers in PubMed, 9 syntheses or guidelines pooled it, 908 citations in OpenAlex.
- Oral Microbiome and Metabolome Changes During Orthodontic Treatments: A Systematic Review of Limited Clinical Evidence.Medicina (Kaunas, Lithuania) · 2026Pooled it
- Blood metabolome of cardiovascular disease, diabetic kidney disease, and diabetic retinopathy in type 2 diabetes patients: A systematic review and meta-analysis.Endocrine research · 2025Pooled it
- Exploring Metabolic Signatures: Unraveling the Association with Obesity in Children and Adolescents.Nutrients · 2025Pooled it
- Association of maternal blood metabolomics and gestational diabetes mellitus risk: a systematic review and meta-analysis.Reviews in endocrine & metabolic disorders · 2025Pooled it
- Pooled it
- Prediabetes and the incidence of Parkinson's disease: A meta-analysis.Biomolecules & biomedicine · 2024Pooled it
- Serum branched amino acids and the risk of all-cause mortality: a meta-analysis and systematic review.Amino acids · 2023Pooled it
- Associations between Per- and Polyfluoroalkyl Substances Exposures and Blood Lipid Levels among Adults-A Meta-Analysis.Environmental health perspectives · 2023Pooled it
- Replication and mediation of the association between the metabolome and clinical markers of metabolic health in an adolescent cohort study.Scientific reports · 2023Pooled it
- Metabolic impact of reduced-protein Nordic diet-based complementary feeding: a secondary analysis of a randomized controlled study.The American journal of clinical nutrition · 2026Trial
- Digitally enhanced ketogenic diet versus low-fat diet for cardio-renal-metabolic health in a predominantly Hispanic adult population with overweight or obesity: Pilot randomised clinical trial.Diabetes, obesity & metabolism · 2025Trial
- Effects of Weight Loss and Weight Maintenance on Lipoprotein Insulin Resistance Scores in Adults with Overweight and Obesity.Metabolic syndrome and related disorders · 2024Trial
- Circulating Metabolite Biomarkers of Glycemic Control in Youth-Onset Type 2 Diabetes.Diabetes care · 2024Trial
- Trial
- Consumption of Different Egg-Based Diets Alters Clinical Metabolic and Hematological Parameters in Young, Healthy Men and Women.Nutrients · 2023Trial
- Branched-chain amino acids and gut microbiota: coregulation and impact on neurological function via the gut-brain axis.Gut microbes · 2026Review
- Article
- Serum metabolomic signatures associated with frailty-related phenotypes in a cohort of older people.GeroScience · 2026Article
- Operationalizing Precision Medicine in Drug Development: Predictive Biomarkers, Companion Diagnostics, and Regulatory Pathways.Clinical pharmacology and therapeutics · 2026Review
- Searching for Metabolic Markers for Hypertension in Human Urine.Molecules (Basel, Switzerland) · 2026Article
477 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
7 authors at 4 institutions in 2 countries.
Funding
Abstract
objectiveTo conduct a systematic review of cross-sectional and prospective human studies evaluating metabolite markers identified using high-throughput metabolomics techniques on prediabetes and type 2 diabetes. RESEARCH DESIGN AND
methodsWe searched MEDLINE and EMBASE databases through August 2015. We conducted a qualitative review of cross-sectional and prospective studies. Additionally, meta-analyses of metabolite markers, with data estimates from at least three prospective studies, and type 2 diabetes risk were conducted, and multivariable-adjusted relative risks of type 2 diabetes were calculated per study-specific SD difference in a given metabolite.
resultsWe identified 27 cross-sectional and 19 prospective publications reporting associations of metabolites and prediabetes and/or type 2 diabetes. Carbohydrate (glucose and fructose), lipid (phospholipids, sphingomyelins, and triglycerides), and amino acid (branched-chain amino acids, aromatic amino acids, glycine, and glutamine) metabolites were higher in individuals with type 2 diabetes compared with control subjects. Prospective studies provided evidence that blood concentrations of several metabolites, including hexoses, branched-chain amino acids, aromatic amino acids, phospholipids, and triglycerides, were associated with the incidence of prediabetes and type 2 diabetes. We meta-analyzed results from eight prospective studies that reported risk estimates for metabolites and type 2 diabetes, including 8,000 individuals of whom 1,940 had type 2 diabetes. We found 36% higher risk of type 2 diabetes per study-specific SD difference for isoleucine (pooled relative risk 1.36 [1.24-1.48]; I(2) = 9.5%), 36% for leucine (1.36 [1.17-1.58]; I(2) = 37.4%), 35% for valine (1.35 [1.19-1.53]; I(2) = 45.8%), 36% for tyrosine (1.36 [1.19-1.55]; I(2) = 51.6%), and 26% for phenylalanine (1.26 [1.10-1.44]; I(2) = 56%). Glycine and glutamine were inversely associated with type 2 diabetes risk (0.89 [0.81-0.96] and 0.85 [0.82-0.89], respectively; both I(2) = 0.0%).
conclusionsIn studies using high-throughput metabolomics, several blood amino acids appear to be consistently associated with the risk of developing type 2 diabetes.
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.