1. Potential Plasma Proteins (LGALS9, LAMP3, PRSS8 and AGRN) as Predictors of Hospitalisation Risk in COVID-19 Patients.
- Author
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McLarnon, Thomas, McDaid, Darren, Lynch, Seodhna M., Cooper, Eamonn, McLaughlin, Joseph, McGilligan, Victoria E., Watterson, Steven, Shukla, Priyank, Zhang, Shu-Dong, Bucholc, Magda, English, Andrew, Peace, Aaron, O'Kane, Maurice, Kelly, Martin, Bhavsar, Manav, Murray, Elaine K., Gibson, David S., Walsh, Colum P., Bjourson, Anthony J., and Rai, Taranjit Singh
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MACHINE learning , *SARS-CoV-2 , *SUPPORT vector machines , *COVID-19 pandemic , *BLOOD proteins , *COVID-19 - Abstract
Background: The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has posed unprecedented challenges to healthcare systems worldwide. Here, we have identified proteomic and genetic signatures for improved prognosis which is vital for COVID-19 research. Methods: We investigated the proteomic and genomic profile of COVID-19-positive patients (n = 400 for proteomics, n = 483 for genomics), focusing on differential regulation between hospitalised and non-hospitalised COVID-19 patients. Signatures had their predictive capabilities tested using independent machine learning models such as Support Vector Machine (SVM), Random Forest (RF) and Logistic Regression (LR). Results: This study has identified 224 differentially expressed proteins involved in various inflammatory and immunological pathways in hospitalised COVID-19 patients compared to non-hospitalised COVID-19 patients. LGALS9 (p-value < 0.001), LAMP3 (p-value < 0.001), PRSS8 (p-value < 0.001) and AGRN (p-value < 0.001) were identified as the most statistically significant proteins. Several hundred rsIDs were queried across the top 10 significant signatures, identifying three significant SNPs on the FSTL3 gene showing a correlation with hospitalisation status. Conclusions: Our study has not only identified key signatures of COVID-19 patients with worsened health but has also demonstrated their predictive capabilities as potential biomarkers, which suggests a staple role in the worsened health effects caused by COVID-19. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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