Construction of ubiquitination risk model of COVID-19 based on LASSO regression

Journal Title: Journal of Air Force Medical University - Year 2023, Vol 44, Issue 7

Abstract

Objective To explore the relationship between the activation of ubiquitin proteasome function and coronavirus disease 19 ( COVID-19) and construct a risk model, so as to provide potential biomarkers for the prognosis evaluation of COVID-19. Methods Bioinformatics was used to analyze the transcriptomic data of COVID-19 patients in the public database, and differential analysis was performed on non-COVID-19 and COVID-19 patients and cluster 1 and cluster 2 obtained by cluster analysis, respectively. The least absolute shrinkage and selection operator ( LASSO) regression + Cox multivariate regression analysis prognostic model was constructed based on their overlapping differential genes. The survival curve was drawn and the receiver operating characteristic ( ROC) curve was used to evaluate the effect of the prognostic model, and the reliability of the model was verified with its corresponding clinical information. Results The intersection of differentially expressed genes (DEGs) in cluster 1 and cluster 2 with DEGs from non-COVID-19 and COVID-19 patients were selected, and the 230 genes obtained were used for LASSO regression analysis, of which nine key DEGs were used for risk model construction. Patients were divided into high-risk group and low-risk group with a critical value of 0. 79, and the mechanical ventilation probability curves of the two groups were statistically significant ( P < 0. 05 ) . Multivariate Cox regression analysis showed that the area under the ROC curve of the training set at 10, 20, and 30 d were 0. 919, 0. 962, and 0. 987, respectively. After validation by the test set and combined with clinical information analysis, it was shown that the risk model had a certain degree of predictability and stability. Conclusion The prognostic stratification and biomarker screening based on ubiquitination characteristics may play an important role in clinical management and drug development.

Authors and Affiliations

WANG Yueyue, ZHANG Junqi, YUAN Qinghong, XIA Lihong, LIU Ruibo, CAI Sirui, JIANG Dongbo, YANG Kun

Keywords

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  • EP ID EP727615
  • DOI -
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How To Cite

WANG Yueyue, ZHANG Junqi, YUAN Qinghong, XIA Lihong, LIU Ruibo, CAI Sirui, JIANG Dongbo, YANG Kun (2023). Construction of ubiquitination risk model of COVID-19 based on LASSO regression. Journal of Air Force Medical University, 44(7), -. https://europub.co.uk/articles/-A-727615