ReviewJournal of diabetes research2016
Metabolomics and Type 2 Diabetes: Translating Basic Research into Clinical Application.
Review in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
71 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children.Scientific reports · 2019Pooled it
- The Relationship between Branched-Chain Amino Acid Related Metabolomic Signature and Insulin Resistance: A Systematic Review.Journal of diabetes research · 2016Pooled it
- Coregulated metabolite networks associated with global protein crotonylation are central pathophysiological processes in prediabetes and diabetes.medRxiv : the preprint server for health sciences · 2026Article
- Unraveling A-β+ ketosis-prone diabetes: An evolving diagnosis with an elusive pathogenesis.Journal of diabetes investigation · 2026Review
- Comparison of human metabolome changes identified in a placebo-controlled amphetamine administration study versus those using forensic toxicology routine data.Scientific reports · 2026Article
- Metabolic Phenotypes, Genotypes, and Gut Microbiome Signatures in Obesity: Implications for Precision Nutrition Strategies in Type 2 Diabetes Prevention.Nutrition reviews · 2026Review
- Effect of dapagliflozin on the serum metabolome in patients with type 2 diabetes mellitus.Journal of diabetes and metabolic disorders · 2025Article
- High-resolution accurate mass- mass spectrometry based- untargeted metabolomics: Reproducibility and detection power across data-dependent acquisition, data-independent acquisition, and AcquireX.Computational and structural biotechnology journal · 2025Article
- Metabolomics Insights into the Benefits of SGLT2 Inhibitors in Type 2 Diabetes.Clinical pharmacology : advances and applications · 2025Review
- Clinical metabolomics in type 2 diabetes mellitus: from pathogenesis to biomarkers.Frontiers in endocrinology · 2025Review
- Characterizing poorly controlled type 2 diabetes usingMetabolomics : Official journal of the Metabolomic Society · 2024Article
- Metabolomics and Lipidomics Analyses Aid Model Classification of Type 2 Diabetes in Non-Human Primates.Metabolites · 2024Article
- Ezetimibe, Niemann-Pick C1 like 1 inhibitor, modulates hepatic phospholipid metabolism to alleviate fat accumulation.Frontiers in pharmacology · 2024Article
- Metabolomics (Non-Targeted) of Induced Type 2 Diabetic Sprague Dawley Rats Comorbid with a Tissue-Dwelling Nematode Parasite.International journal of molecular sciences · 2023Article
- Association between type 2 diabetes and branched chain amino acids (BCAA); a case-control study.Journal of diabetes and metabolic disorders · 2023Article
- Metabolomics of Type 2 Diabetes Mellitus in Sprague Dawley Rats-In Search of Potential Metabolic Biomarkers.International journal of molecular sciences · 2023Article
- Childhood Obesity and the Cryptic Language of the Microbiota: Metabolomics' Upgrading.Metabolites · 2023Review
- Derivatization of N-Acyl Glycines by 3-Nitrophenylhydrazine for Targeted Metabolomics Analysis and Their Application to the Study of Diabetes Progression in Mice.Analytical chemistry · 2023Article
- Application of Metabolomics and Traditional Chinese Medicine for Type 2 Diabetes Mellitus Treatment.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Review
- Metabolomics: a promising tool for deciphering metabolic impairment in heavy metal toxicities.Frontiers in molecular biosciences · 2023Review
11 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type 2 diabetes (T2D) and its comorbidities have reached epidemic proportions, with more than half a billion cases expected by 2030. Metabolomics is a fairly new approach for studying metabolic changes connected to disease development and progression and for finding predictive biomarkers to enable early interventions, which are most effective against T2D and its comorbidities. In metabolomics, the abundance of a comprehensive set of small biomolecules (metabolites) is measured, thus giving insight into disease-related metabolic alterations. This review shall give an overview of basic metabolomics methods and will highlight current metabolomics research successes in the prediction and diagnosis of T2D. We summarized key metabolites changing in response to T2D. Despite large variations in predictive biomarkers, many studies have replicated elevated plasma levels of branched-chain amino acids and their derivatives, aromatic amino acids and α-hydroxybutyrate ahead of T2D manifestation. In contrast, glycine levels and lysophosphatidylcholine C18:2 are depressed in both predictive studies and with overt disease. The use of metabolomics for predicting T2D comorbidities is gaining momentum, as are our approaches for translating basic metabolomics research into clinical applications. As a result, metabolomics has the potential to enable informed decision-making in the realm of personalized medicine.
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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.