|
Omics-driven Systems Interrogation of Metabolic Dysregulation in COVID-19 Pathogenesis
Jinwen Song, Sin Man Lam, Xing Fan, Wenjing Cao, Siyu Wang, He Tian, Gek Huey Chua, Chao Zhang, Fanping Meng, Zhe Xu, Junliang Fu, Lei Huang, Peng Xia, Tao Yang, Shaohua Zhang, Bowen Li, Tianjun Jiang, Raoxu Wang, Zehua Wang, Ming Shi, Jiyuan Zhang, Fusheng Wang, Guanghou Shui
Cell Metabolism
Abstract
The coronavirus disease 2019 (COVID-19) pandemic presents an unprecedented threat to global public health. Herein, we utilized a combination of targeted and untargeted tandem mass spectrometry to analyse the plasma lipidome and metabolome in mild, moderate and severe COVID-19 patients and healthy controls. A panel of 10 plasma metabolites effectively distinguished COVID-19 patients from healthy controls (AUC = 0.975). Plasma lipidome of COVID-19 resembled that of monosialodihexosyl gangliosides (GM3)-enriched exosomes, with enhanced levels of sphingomyelins (SMs) and GM3s, and reduced diacylglycerols (DAGs). Systems evaluation of metabolic dysregulation in COVID-19 was performed using multiscale embedded differential correlation network analyses. Using exosomes isolated from the same cohort, we demonstrated that exosomes of COVID-19 patients with elevating disease severity were increasingly enriched in GM3s. Our work suggests that GM3-enriched exosomes may partake in pathological processes related to COVID-19 pathogenesis, and presents the largest repository on the plasma lipidome and metabolome distinct to COVID-19.
|
论文编号: |
DOI:10.1016/j.cmet.2020.06.016 |
论文题目: |
Omics-driven Systems Interrogation of Metabolic Dysregulation in COVID-19 Pathogenesis |
英文论文题目: |
Omics-driven Systems Interrogation of Metabolic Dysregulation in COVID-19 Pathogenesis |
第一作者: |
Jinwen Song, Sin Man Lam, Xing Fan, Wenjing Cao, Siyu Wang, He Tian, Gek Huey Chua, Chao Zhang, Fanping Meng, Zhe Xu, Junliang Fu, Lei Huang, Peng Xia, Tao Yang, Shaohua Zhang, Bowen Li, Tianjun Jiang, Raoxu Wang, Zehua Wang, Ming Shi, Jiyuan Zhang, Fusheng Wang, Guanghou Shui |
英文第一作者: |
Jinwen Song, Sin Man Lam, Xing Fan, Wenjing Cao, Siyu Wang, He Tian, Gek Huey Chua, Chao Zhang, Fanping Meng, Zhe Xu, Junliang Fu, Lei Huang, Peng Xia, Tao Yang, Shaohua Zhang, Bowen Li, Tianjun Jiang, Raoxu Wang, Zehua Wang, Ming Shi, Jiyuan Zhang, Fusheng Wang, Guanghou Shui |
联系作者: |
|
英文联系作者: |
|
外单位作者单位: |
|
英文外单位作者单位: |
|
发表年度: |
2020-07-02 |
卷: |
|
期: |
|
页码: |
|
摘要: |
The coronavirus disease 2019 (COVID-19) pandemic presents an unprecedented threat to global public health. Herein, we utilized a combination of targeted and untargeted tandem mass spectrometry to analyse the plasma lipidome and metabolome in mild, moderate and severe COVID-19 patients and healthy controls. A panel of 10 plasma metabolites effectively distinguished COVID-19 patients from healthy controls (AUC = 0.975). Plasma lipidome of COVID-19 resembled that of monosialodihexosyl gangliosides (GM3)-enriched exosomes, with enhanced levels of sphingomyelins (SMs) and GM3s, and reduced diacylglycerols (DAGs). Systems evaluation of metabolic dysregulation in COVID-19 was performed using multiscale embedded differential correlation network analyses. Using exosomes isolated from the same cohort, we demonstrated that exosomes of COVID-19 patients with elevating disease severity were increasingly enriched in GM3s. Our work suggests that GM3-enriched exosomes may partake in pathological processes related to COVID-19 pathogenesis, and presents the largest repository on the plasma lipidome and metabolome distinct to COVID-19. |
英文摘要: |
The coronavirus disease 2019 (COVID-19) pandemic presents an unprecedented threat to global public health. Herein, we utilized a combination of targeted and untargeted tandem mass spectrometry to analyse the plasma lipidome and metabolome in mild, moderate and severe COVID-19 patients and healthy controls. A panel of 10 plasma metabolites effectively distinguished COVID-19 patients from healthy controls (AUC = 0.975). Plasma lipidome of COVID-19 resembled that of monosialodihexosyl gangliosides (GM3)-enriched exosomes, with enhanced levels of sphingomyelins (SMs) and GM3s, and reduced diacylglycerols (DAGs). Systems evaluation of metabolic dysregulation in COVID-19 was performed using multiscale embedded differential correlation network analyses. Using exosomes isolated from the same cohort, we demonstrated that exosomes of COVID-19 patients with elevating disease severity were increasingly enriched in GM3s. Our work suggests that GM3-enriched exosomes may partake in pathological processes related to COVID-19 pathogenesis, and presents the largest repository on the plasma lipidome and metabolome distinct to COVID-19. |
刊物名称: |
Cell Metabolism |
英文刊物名称: |
Cell Metabolism |
论文全文: |
|
英文论文全文: |
|
全文链接: |
|
其它备注: |
Jinwen Song, Sin Man Lam, Xing Fan, Wenjing Cao, Siyu Wang, He Tian, Gek Huey Chua, Chao Zhang, Fanping Meng, Zhe Xu, Junliang Fu, Lei Huang, Peng Xia, Tao Yang, Shaohua Zhang, Bowen Li, Tianjun Jiang, Raoxu Wang, Zehua Wang, Ming Shi, Jiyuan Zhang, Fusheng Wang, Guanghou Shui. Omics-driven Systems Interrogation of Metabolic Dysregulation in COVID-19 Pathogenesis. Cell Metabolism. DOI:10.1016/j.cmet.2020.06.016 |
英文其它备注: |
|
学科: |
|
英文学科: |
|
影响因子: |
|
第一作者所在部门: |
|
英文第一作者所在部门: |
|
论文出处: |
|
英文论文出处: |
|
论文类别: |
|
英文论文类别: |
|
参与作者: |
|
英文参与作者: |
|
|