HYBRID EVENT: You can participate in person at Paris, France or Virtually from your home or work.

6th Edition of World Congress on Infectious Diseases

June 24-26, 2024 | Paris, France

June 24 -26, 2024 | Paris, France
Infection 2023

Abdallah Musa Abdallah

Speaker at Infectious Diseases Conference - Abdallah Musa Abdallah
Qatar University, Qatar
Title : Metabolic predictors of COVID-19 mortality and severity: A survival analysis study


Metabolomics has been increasingly utilized in studying the host response to viral infections and for understanding the progression of multi-system disorders such as COVID-19. The analysis of metabolites in response to SARS-CoV-2 infection provides a snapshot of the endogenous host metabolism and its role in shaping the interaction with SARS-CoV-2. In this study, using a targeted metabolomics approach, the metabolic signatures of mortality and severity were studied in COVID-19 patients. Blood plasma concentrations were quantified through LC-MS using MxP Quant 500 kit, which has a coverage of 630 metabolites from 26 biochemical classes including different classes of lipids and small organic molecules. We utilized Kaplan-Meier survival analysis to investigate the correlation between various metabolic markers and patient outcomes. A comparison of survival rates between individuals with high levels of various metabolites (amino acids, tryptophan, kynurenine, serotonin, creatine, SDMA, ADMA, 1-MH, and indicators of carnitine palmitoyltransferase 1 and 2 enzymes) and those with low levels showed statistically significant differences in survival outcomes. We further used four metabolic markers (tryptophan, kynurenine, asymmetric dimethylarginine, and 1-Methylhistidine) to develop a COVID-19 mortality risk model through the application of multiple machine learning methods. These metabolic predictors can be further validated as potential biomarkers to identify patients at risk of poor outcomes. Finally, integrating machine learning models in metabolome analysis of COVID-19 patients can improve our understanding of disease mortality by providing insight into the relationship between metabolites and survival probability, which can lead to the development of potential therapeutics and clinical risk models.


Dr. Abdallah received his PhD in Molecular Biology from the VU University Amsterdam, in 2008. His dissertation work focused on several aspects of protein secretion mechanisms in mycobacteria. Following postdoctoral appointments at the VU medical Centre and The Netherlands Cancer Institute, he started his academic career at the King Abdullah University of Science and Technology, KSA. Dr. Abdallah is an expert Molecular biologist and his research interests are in the area of Microbial Genetics, host-pathogen interaction and molecular pathogenesis of infectious agents. Dr. Abdallah joined the Qatar University, College of Medicine as an Assistant Professor of Genetics on August 2019.