Omo-Okhuasuyi, A.; Jin, Y.-F.; ElHefnawi, M.; Chen, Y.; Flores, M. Multimodal Identification of Molecular Factors Linked to Severe Diabetic Foot Ulcers Using Artificial Intelligence. Int. J. Mol. Sci.2024, 25, 10686.
Omo-Okhuasuyi, A.; Jin, Y.-F.; ElHefnawi, M.; Chen, Y.; Flores, M. Multimodal Identification of Molecular Factors Linked to Severe Diabetic Foot Ulcers Using Artificial Intelligence. Int. J. Mol. Sci. 2024, 25, 10686.
Omo-Okhuasuyi, A.; Jin, Y.-F.; ElHefnawi, M.; Chen, Y.; Flores, M. Multimodal Identification of Molecular Factors Linked to Severe Diabetic Foot Ulcers Using Artificial Intelligence. Int. J. Mol. Sci.2024, 25, 10686.
Omo-Okhuasuyi, A.; Jin, Y.-F.; ElHefnawi, M.; Chen, Y.; Flores, M. Multimodal Identification of Molecular Factors Linked to Severe Diabetic Foot Ulcers Using Artificial Intelligence. Int. J. Mol. Sci. 2024, 25, 10686.
Abstract
Diabetic Foot Ulcer (DFU) is a severe complication of diabetes mellitus (DM), often leading to hospitalization and non-traumatic amputations in the United States. It is particularly prevalent among individuals of Hispanic descent, with a prevalence rate exceeding 10% [1, 2]. The target of this study is to identify markers of severity of DFU. This work follows a strategy that uses first Electronic Health Records and machine learning to identify risk factors reported as measurements of blood tests, such as cholesterol, blood sugar, and specific proteins in a cohort of thousands of patients. After this RNA risk factors are predicted using samples of bulk and single-cell gene expression across patients with different levels of DFU severity. We found the Albu-min/Creatinine Ratio (ACR) test as a key factor in severe DFUs. We also found a cluster of cells that harbor high expression of Apolipoprotein E protein (APOE) and it is significant in non-healing DFU cases. Overall, the study shows how the use of hundreds of thousands of EHR can reduce and inform the search space of molecules in a few samples of bulk-single cell transcriptomics and identify molecular markers of severity of DFU.
Biology and Life Sciences, Immunology and Microbiology
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