Parallel Multi-Omics in High-Risk Subjects for the Identification of Integrated Biomarker Signatures of Type 1 Diabetes

Parallel Multi-Omics in High-Risk Subjects for the Identification of Integrated Biomarker Signatures of Type 1 Diabetes

Background: Biomarkers are crucial for detecting early type-1 diabetes (T1D) and preventing significant β-cell loss before the onset of clinical symptoms. Here, we present proof-of-concept studies to demonstrate the potential for identifying integrated biomarker signature(s) of T1D using parallel mu...

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Bibliographic Details
Main Authors: Oscar Alcazar, Luis F. Hernandez, Ernesto S. Nakayasu, Carrie D. Nicora, Charles Ansong, Michael J. Muehlbauer, James R. Bain, Ciara J. Myer, Sanjoy K. Bhattacharya, Peter Buchwald, Midhat H. Abdulreda
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Biomolecules
Subjects:
omics
multi-omics
metabolomics
proteomics
lipidomics
transcriptomics
Online Access:https://www.mdpi.com/2218-273X/11/3/383

Internet

https://www.mdpi.com/2218-273X/11/3/383

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