article · International Journal of Molecular Sciences
This review aimed to enhance the understanding and management of type 1 and type 2 diabetes mellitus (DM) by examining the relationships between metabolites and these conditions. Information was gathered from 70 studies identified through PubMed, MEDLINE, and EMBASE databases. The analysis revealed that several plasma metabolites, including glucose, fructose, amino acids, and lipids, are typically altered in individuals with type 1 diabetes (T1D), type 2 diabetes (T2D), and T2D prediabetes. These metabolites show significant predictive associations with the diseases. The findings suggest that metabolomic techniques can identify these changes, enabling the identification and analysis of T1D and T2D biomarkers, which could inform the development of effective interventions.
Understanding the specific metabolite changes associated with type 1 and type 2 diabetes is crucial for improving diagnosis and management. This research highlights how metabolomics can identify biomarkers, offering a pathway to earlier detection and more targeted interventions, ultimately improving patient outcomes and reducing healthcare burdens.
This research provides foundational evidence for developing diagnostic tools and monitoring systems for type 1 and type 2 diabetes, as well as prediabetes. Potential users include diagnostic companies, healthcare providers, and pharmaceutical researchers. The findings could lead to the creation of novel biomarker panels for early detection or disease progression monitoring. This is early-stage research, indicating potential for future applied development in clinical diagnostics and personalised medicine.
AI-generated from the published abstract. Always read the original work before citing.
Type 1 and type 2 diabetes mellitus (DM) are chronic diseases that affect nearly 425 million people worldwide, leading to poor health outcomes and high health care costs. High-throughput metabolomics screening can provide vital insight into the pathophysiological pathways of DM and help in managing its effects. The primary aim of this study was to contribute to the understanding and management of DM by providing reliable evidence of the relationships between metabolites and type 1 diabetes (T1D) and metabolites and type 2 diabetes (T2D). Information for the study was obtained from the PubMed, MEDLINE, and EMBASE databases, and leads to additional articles that were obtained from the reference lists of the studies examined. The results from the selected studies were used to assess the relationships between diabetes (T1D and/or T2D) and metabolite markers-such as glutamine, glycine, and aromatic amino acids-in patients. Seventy studies were selected from the three databases and from the reference lists in the records retrieved. All studies explored associations between various metabolites and T1D or T2D. This review identified several plasma metabolites associated with T2D prediabetes and/or T1D and/or T2D in humans. The evidence shows that metabolites such as glucose, fructose, amino acids, and lipids are typically altered in individuals with T1D and T2D. These metabolites exhibit significant predictive associations with T2D prediabetes, T1D, and/or T2D. The current review suggests that changes in plasma metabolites can be identified by metabolomic techniques and used to identify and analyze T1D and T2D biomarkers. The results of the metabolomic studies can be used to help create effective interventions for managing these diseases.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.3390/ijms20102467
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
