ArticleAnnals of the New York Academy of Sciences2013
Application of combined omics platforms to accelerate biomedical discovery in diabesity.
Article in Annals of the New York Academy of Sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed.
- Metabolome Alterations Associated with Three-Month Sitting-Time Reduction Among Sedentary Postmenopausal Latinas with Cardiometabolic Disease Risk.Metabolites · 2025Article
- Sitting Interruption Modalities during Prolonged Sitting Acutely Improve Postprandial Metabolome in a Crossover Pilot Trial among Postmenopausal Women.Metabolites · 2024Article
- Distinct Lipidomic Signatures in People Living With HIV: Combined Analysis of ACTG 5260s and MACS/WIHS.The Journal of clinical endocrinology and metabolism · 2022Article
- Obesity Connected Metabolic Changes in Type 2 Diabetic Patients Treated With Metformin.Frontiers in pharmacology · 2020Article
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- Isotopic Ratio Outlier Analysis of the S. cerevisiae Metabolome Using Accurate Mass Gas Chromatography/Time-of-Flight Mass Spectrometry: A New Method for Discovery.Analytical chemistry · 2016Article
- Lower Preprandial Insulin and Altered Fuel Use in HIV/Antiretroviral-Exposed Infants in Cameroon.The Journal of clinical endocrinology and metabolism · 2015Article
- Metabolomics in the developmental origins of obesity and its cardiometabolic consequences.Journal of developmental origins of health and disease · 2015Review
- Metabolomic insights into the intricate gut microbial-host interaction in the development of obesity and type 2 diabetes.Frontiers in microbiology · 2015Review
- Article
- MicroRNA-205 targets tight junction-related proteins during urothelial cellular differentiation.Molecular & cellular proteomics : MCP · 2014Article
- Integrative analysis of longitudinal metabolomics data from a personal multi-omics profile.Metabolites · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Diabesity has become a popular term to describe the specific form of diabetes that develops late in life and is associated with obesity. While there is a correlation between diabetes and obesity, the association is not universally predictive. Defining the metabolic characteristics of obesity that lead to diabetes, and how obese individuals who develop diabetes different from those who do not, are important goals. The use of large-scale omics analyses (e.g., metabolomic, proteomic, transcriptomic, and lipidomic) of diabetes and obesity may help to identify new targets to treat these conditions. This report discusses how various types of omics data can be integrated to shed light on the changes in metabolism that occur in obesity and diabetes.
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Registered trials
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