Publications by authors named "Alaaedin Abdelmajid"
Article Synopsis
- COVID-19, caused by the SARS-CoV-2 virus, presents a range of symptoms from asymptomatic to severe illness, necessitating early biomarker identification for improved treatment and resource allocation.
- This study focused on 89 diverse COVID-19 patients in Qatar and analyzed various blood parameters and pre-existing conditions to determine factors predicting disease severity and mortality.
- Key findings highlighted that elevated levels of the biomarker C5a, alongside other indicators like hypoalbuminemia and lymphopenia, correlated with increased risk of death, leading to the development of the CAL model for accurate prognosis of severe cases.
There is a lack of predictive markers for early and rapid identification of disease progression in COVID-19 patients. Our study aims at identifying microRNAs (miRNAs)/small nucleolar RNAs (snoRNAs) as potential biomarkers of COVID-19 severity. Using differential expression analysis of microarray data (n = 29), we identified hsa-miR-1246, ACA40, hsa-miR-4532, hsa-miR-145-5p, and ACA18 as the top five differentially expressed transcripts in severe versus asymptomatic, and ACA40, hsa-miR-3609, ENSG00000212378 (SNORD78), hsa-miR-1231, hsa-miR-885-3p as the most significant five in severe versus mild cases.
View Article and Find Full Text PDFReactivation of cytomegalovirus (CMV) in immunocompetent patients may lead to increase morbidity and mortality. A clinical suspicion allows timely diagnosis, treatment, and favorable outcome. In a subject without apparent risk factors for acute myocardial infarction (AMI), CMV can be a possibility.
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