Integrative multi-omics approach for identifying molecular signatures and pathways and deriving and validating molecular scores for COVID-19 severity and status.
Integrative multi-omics approach for identifying molecular signatures and pathways and deriving and validating molecular scores for COVID-19 severity and status.
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DOI：
10.1186/s12864-023-09410-5
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发表时间：
2023-06-12
期刊：
影响因子：
4.4
通讯作者：
中科院分区：
文献类型：
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作者：
关于COVID-19的病理生物学，还有更多的东西需要了解。多组学方法提供了一个全面的视角，以更好地了解COVID-19的机制。我们使用最先进的统计学习方法整合从123名出现COVID-19或COVID-19样症状的患者中获得的基因组学、代谢组学、蛋白质组学和脂质组学数据，以识别与该疾病相关的分子特征和相应途径。我们构建并验证了分子评分，并评估了其在已知影响疾病状态和严重程度的临床因素之外的效用。我们确定了炎症和免疫反应相关的途径，以及其他途径，为疾病的可能后果提供了见解。我们得出的分子评分与疾病状态和严重程度密切相关，可用于识别患严重疾病风险较高的个体。这些发现有可能提供进一步的，必要的，深入了解为什么某些人发展更糟糕的结果。在线版本包含补充材料，可通过10.1186/s12864-023-09410-5获得。
There is still more to learn about the pathobiology of COVID-19. A multi-omic approach offers a holistic view to better understand the mechanisms of COVID-19. We used state-of-the-art statistical learning methods to integrate genomics, metabolomics, proteomics, and lipidomics data obtained from 123 patients experiencing COVID-19 or COVID-19-like symptoms for the purpose of identifying molecular signatures and corresponding pathways associated with the disease. We constructed and validated molecular scores and evaluated their utility beyond clinical factors known to impact disease status and severity. We identified inflammation- and immune response-related pathways, and other pathways, providing insights into possible consequences of the disease. The molecular scores we derived were strongly associated with disease status and severity and can be used to identify individuals at a higher risk for developing severe disease. These findings have the potential to provide further, and needed, insights into why certain individuals develop worse outcomes. The online version contains supplementary material available at 10.1186/s12864-023-09410-5.
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影响因子：
64.8
作者：
通讯作者：
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DOI：
10.1016/s0140-6736(21)00441-4
发表时间：
2021-05-22
期刊：
Lancet (London, England)
影响因子：
--
作者：
African COVID-19 Critical Care Outcomes Study (ACCCOS) Investigators
通讯作者：
African COVID-19 Critical Care Outcomes Study (ACCCOS) Investigators
影响因子：
7.3
作者：
Lin A;Yan WH
通讯作者：
Yan WH
影响因子：
39.3
作者：
Ardestani A;Azizi Z
通讯作者：
Azizi Z
影响因子：
39.3
作者：
He X;Liu C;Peng J;Li Z;Li F;Wang J;Hu A;Peng M;Huang K;Fan D;Li N;Zhang F;Cai W;Tan X;Hu Z;Deng X;Li Y;Mo X;Li L;Shi Y;Yang L;Zhu Y;Wu Y;Liang H;Liao B;Hong W;He R;Li J;Guo P;Zhuo Y;Zhao L;Hu F;Li W;Zhu W;Zhang Z;Guo Z;Zhang W;Hong X;Cai W;Gu L;Du Z;Zhang Y;Xu J;Zuo T;Deng K;Yan L;Chen X;Chen S;Lei C
通讯作者：
Lei C