Predicting the severity of COVID-19 patients using the CD24-CSF1R index in whole blood samples
Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has become one of the most serious public health crises worldwide. Most infected people are asymptomatic but are still able to spread the virus. People with mild or moderate illnesses are likely to recover without hospitalization, while crit...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023011520 |
| _version_ | 1797851901651320832 |
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| author | Dat Nguyen Thanh Nguyen Tan Thanh Giang Tam Vy Le Ngoc Minh Truong Thanh Van Ngo Thien Ngoc Lam Dinh Truong Nguyen Quynh Hoa Tran Minh Nam Nguyen |
| author_facet | Dat Nguyen Thanh Nguyen Tan Thanh Giang Tam Vy Le Ngoc Minh Truong Thanh Van Ngo Thien Ngoc Lam Dinh Truong Nguyen Quynh Hoa Tran Minh Nam Nguyen |
| author_sort | Dat Nguyen Thanh |
| collection | DOAJ |
| description | Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has become one of the most serious public health crises worldwide. Most infected people are asymptomatic but are still able to spread the virus. People with mild or moderate illnesses are likely to recover without hospitalization, while critically ill patients face a higher risk of organ injury or even death. In this study, we aimed to identify a novel biomarker that can predict the severity of COVID-19 patients. Clinical information and RNA-seq data of leukocytes from whole blood samples with and without a COVID-19 diagnosis (n = 100 and 26, respectively) were retrieved from the National Center for Biotechnology Information Gene Expression Omnibus database. Raw data were processed using the Transcripts Per Million (TPM) method and then transformed using log2 (TPM+1) for normalization. The CD24-CSF1R index was established. Violin plots, Kaplan-Meier curves, ROC curves, and multivariate Cox proportional hazards regression analyses were performed to evaluate the prognostic value of the established index. The CD24-CSF1R index was significantly associated with ICU admission (n = 50 ICU, 50 non-ICU) and ventilatory status (n = 42 ventilation, 58 non-ventilation) with p = 4.186e-11 and p = 1.278e-07, respectively. The ROC curve produced a relatively accurate prediction of ICU admission with an AUC of 0.8524. Additionally, patients with a high index had significantly fewer mechanical ventilation-free days than patients with a low index (p = 6.07e−07). Furthermore, the established index showed a strong prognostic ability for the risk of using a ventilator in the multivariate Cox regression model (p < 0.001). The CD24-CSF1R index was significantly associated with COVID-19 severity. The established index could have potential implications for prognosis, disease severity stratification, and clinical management. |
| first_indexed | 2024-04-09T19:24:14Z |
| format | Article |
| id | doaj.art-312db5788d094c6887fa4242078d0227 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-09T19:24:14Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-312db5788d094c6887fa4242078d02272023-04-05T08:19:46ZengElsevierHeliyon2405-84402023-03-0193e13945Predicting the severity of COVID-19 patients using the CD24-CSF1R index in whole blood samplesDat Nguyen Thanh0Nguyen Tan Thanh Giang1Tam Vy Le2Ngoc Minh Truong3Thanh Van Ngo4Thien Ngoc Lam5Dinh Truong Nguyen6Quynh Hoa Tran7Minh Nam Nguyen8School of Medicine, Vietnam National University Ho Chi Minh City, Ho Chi Minh City 700000, Viet Nam; Research Center for Genetics and Reproductive Health, School of Medicine, Vietnam National University Ho Chi Minh City, Ho Chi Minh City 700000, Viet NamSchool of Biotechnology, Tan Tao University, Duc Hoa, Tan Duc E.City, Long An, 850000, Viet NamSchool of Biotechnology, Tan Tao University, Duc Hoa, Tan Duc E.City, Long An, 850000, Viet NamDepartment of Biotechnology, International University - Vietnam National University Ho Chi Minh City, Ho Chi Minh City 700000, Viet NamSchool of Medicine, Vietnam National University Ho Chi Minh City, Ho Chi Minh City 700000, Viet NamSchool of Biotechnology, Tan Tao University, Duc Hoa, Tan Duc E.City, Long An, 850000, Viet NamDepartment of Pathology, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, LA, United StatesDepartment of Biology and Environment, Ho Chi Minh City University of Food Industry (HUFI), Ho Chi Minh City 700000, Viet NamSchool of Medicine, Vietnam National University Ho Chi Minh City, Ho Chi Minh City 700000, Viet Nam; Research Center for Genetics and Reproductive Health, School of Medicine, Vietnam National University Ho Chi Minh City, Ho Chi Minh City 700000, Viet Nam; Department of Biomedical Engineering, School of Medicine, Vietnam National University Ho Chi Minh City, Ho Chi Minh City 700000, Viet Nam; Corresponding author. School of Medicine, Vietnam National University Ho Chi Minh City, Linh Trung ward, Thu Duc District, Ho Chi Minh City, Viet Nam.Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has become one of the most serious public health crises worldwide. Most infected people are asymptomatic but are still able to spread the virus. People with mild or moderate illnesses are likely to recover without hospitalization, while critically ill patients face a higher risk of organ injury or even death. In this study, we aimed to identify a novel biomarker that can predict the severity of COVID-19 patients. Clinical information and RNA-seq data of leukocytes from whole blood samples with and without a COVID-19 diagnosis (n = 100 and 26, respectively) were retrieved from the National Center for Biotechnology Information Gene Expression Omnibus database. Raw data were processed using the Transcripts Per Million (TPM) method and then transformed using log2 (TPM+1) for normalization. The CD24-CSF1R index was established. Violin plots, Kaplan-Meier curves, ROC curves, and multivariate Cox proportional hazards regression analyses were performed to evaluate the prognostic value of the established index. The CD24-CSF1R index was significantly associated with ICU admission (n = 50 ICU, 50 non-ICU) and ventilatory status (n = 42 ventilation, 58 non-ventilation) with p = 4.186e-11 and p = 1.278e-07, respectively. The ROC curve produced a relatively accurate prediction of ICU admission with an AUC of 0.8524. Additionally, patients with a high index had significantly fewer mechanical ventilation-free days than patients with a low index (p = 6.07e−07). Furthermore, the established index showed a strong prognostic ability for the risk of using a ventilator in the multivariate Cox regression model (p < 0.001). The CD24-CSF1R index was significantly associated with COVID-19 severity. The established index could have potential implications for prognosis, disease severity stratification, and clinical management.http://www.sciencedirect.com/science/article/pii/S2405844023011520SARS-CoV-2COVID-19BiomarkerCD24-CSF1R indexImmunity |
| spellingShingle | Dat Nguyen Thanh Nguyen Tan Thanh Giang Tam Vy Le Ngoc Minh Truong Thanh Van Ngo Thien Ngoc Lam Dinh Truong Nguyen Quynh Hoa Tran Minh Nam Nguyen Predicting the severity of COVID-19 patients using the CD24-CSF1R index in whole blood samples Heliyon SARS-CoV-2 COVID-19 Biomarker CD24-CSF1R index Immunity |
| title | Predicting the severity of COVID-19 patients using the CD24-CSF1R index in whole blood samples |
| title_full | Predicting the severity of COVID-19 patients using the CD24-CSF1R index in whole blood samples |
| title_fullStr | Predicting the severity of COVID-19 patients using the CD24-CSF1R index in whole blood samples |
| title_full_unstemmed | Predicting the severity of COVID-19 patients using the CD24-CSF1R index in whole blood samples |
| title_short | Predicting the severity of COVID-19 patients using the CD24-CSF1R index in whole blood samples |
| title_sort | predicting the severity of covid 19 patients using the cd24 csf1r index in whole blood samples |
| topic | SARS-CoV-2 COVID-19 Biomarker CD24-CSF1R index Immunity |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023011520 |
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