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比较动态转录组分析揭示了 COVID-19 的特定特征和免疫功能低下人群的发病机制。

Comparative analysis of dynamic transcriptomes reveals specific COVID-19 features and pathogenesis of immunocompromised populations.

机构信息

Department of Hematology, Peking University First Hospital, Beijing, China.

Department of Computer Science, University of Miami, Miami, Florida, USA.

出版信息

mSystems. 2024 Jun 18;9(6):e0138523. doi: 10.1128/msystems.01385-23. Epub 2024 May 16.

DOI:10.1128/msystems.01385-23
PMID:38752789
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11237560/
Abstract

UNLABELLED

A dysfunction of human host genes and proteins in coronavirus infectious disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a key factor impacting clinical symptoms and outcomes. Yet, a detailed understanding of human host immune responses is still incomplete. Here, we applied RNA sequencing to 94 samples of COVID-19 patients with and without hematological tumors as well as COVID-19 uninfected non-tumor individuals to obtain a comprehensive transcriptome landscape of both hematological tumor patients and non-tumor individuals. In our analysis, we further accounted for the human-SARS-CoV-2 protein interactome, human protein interactome, and human protein complex subnetworks to understand the mechanisms of SARS-CoV-2 infection and host immune responses. Our data sets enabled us to identify important SARS-CoV-2 (non-)targeted differentially expressed genes and complexes post-SARS-CoV-2 infection in both hematological tumor and non-tumor individuals. We found several unique differentially expressed genes, complexes, and functions/pathways such as blood coagulation (APOE, SERPINE1, SERPINE2, and TFPI), lipoprotein particle remodeling (APOC2, APOE, and CETP), and pro-B cell differentiation (IGHM, VPREB1, and IGLL1) during COVID-19 infection in patients with hematological tumors. In particular, APOE, a gene that is associated with both blood coagulation and lipoprotein particle remodeling, is not only upregulated in hematological tumor patients post-SARS-CoV-2 infection but also significantly expressed in acute dead patients with hematological tumors, providing clues for the design of future therapeutic strategies specifically targeting COVID-19 in patients with hematological tumors. Our data provide a rich resource for understanding the specific pathogenesis of COVID-19 in immunocompromised patients, such as those with hematological malignancies, and developing effective therapeutics for COVID-19.

IMPORTANCE

A majority of previous studies focused on the characterization of coronavirus infectious disease 2019 (COVID-19) disease severity in people with normal immunity, while the characterization of COVID-19 in immunocompromised populations is still limited. Our study profiles changes in the transcriptome landscape post-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in hematological tumor patients and non-tumor individuals. Furthermore, our integrative and comparative systems biology analysis of the interactome, complexome, and transcriptome provides new insights into the tumor-specific pathogenesis of COVID-19. Our findings confirm that SARS-CoV-2 potentially tends to target more non-functional host proteins to indirectly affect host immune responses in hematological tumor patients. The identified unique genes, complexes, functions/pathways, and expression patterns post-SARS-CoV-2 infection in patients with hematological tumors increase our understanding of how SARS-CoV-2 manipulates the host molecular mechanism. Our observed differential genes/complexes and clinical indicators of normal/long infection and deceased COVID-19 patients provide clues for understanding the mechanism of COVID-19 progression in hematological tumors. Finally, our study provides an important data resource that supports the increasing value of the application of publicly accessible data sets to public health.

摘要

目的

大多数先前的研究都集中在表征具有正常免疫功能的人群中 2019 年冠状病毒病(COVID-19)的严重程度,而对免疫功能低下人群中 COVID-19 的表征仍然有限。我们的研究描绘了严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)感染后血液系统肿瘤患者和非肿瘤个体转录组图谱的变化。此外,我们对互作组、复合物组和转录组的综合比较系统生物学分析为 COVID-19 的肿瘤特异性发病机制提供了新的见解。我们的发现证实,SARS-CoV-2 可能倾向于针对更多非功能性宿主蛋白,以间接影响血液系统肿瘤患者的宿主免疫反应。血液系统肿瘤患者感染 SARS-CoV-2 后鉴定出的独特基因、复合物、功能/途径和表达模式增加了我们对 SARS-CoV-2 如何操纵宿主分子机制的理解。我们观察到的差异基因/复合物以及正常/长期感染和死亡 COVID-19 患者的临床指标为理解血液系统肿瘤中 COVID-19 进展的机制提供了线索。最后,我们的研究提供了一个重要的数据资源,支持越来越多地将公开可获得的数据集应用于公共卫生的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b156/11237560/4a4370c764e6/msystems.01385-23.f007.jpg
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本文引用的文献

1
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Nucleic Acids Res. 2024 Jan 5;52(D1):D1465-D1477. doi: 10.1093/nar/gkad751.
2
Epigenetic memory of coronavirus infection in innate immune cells and their progenitors.先天免疫细胞及其前体细胞中冠状病毒感染的表观遗传记忆。
Cell. 2023 Aug 31;186(18):3882-3902.e24. doi: 10.1016/j.cell.2023.07.019. Epub 2023 Aug 18.
3
Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection.
多组学生物血图谱揭示了对 SARS-CoV-2 奥密克戎突破性感染的免疫和血小板反应的独特特征。
Immunity. 2023 Jun 13;56(6):1410-1428.e8. doi: 10.1016/j.immuni.2023.05.007. Epub 2023 May 16.
4
Dysregulation of PD-L1 by UFMylation imparts tumor immune evasion and identified as a potential therapeutic target.泛素样修饰因子(UFM1)对程序性死亡配体 1(PD-L1)的调节作用导致肿瘤免疫逃逸,并被鉴定为潜在的治疗靶点。
Proc Natl Acad Sci U S A. 2023 Mar 14;120(11):e2215732120. doi: 10.1073/pnas.2215732120. Epub 2023 Mar 9.
5
ApoE4 associated with severe COVID-19 outcomes via downregulation of ACE2 and imbalanced RAS pathway.载脂蛋白 E4 通过下调 ACE2 和失衡的 RAS 通路与严重的 COVID-19 结局相关。
J Transl Med. 2023 Feb 9;21(1):103. doi: 10.1186/s12967-023-03945-7.
6
CORUM: the comprehensive resource of mammalian protein complexes-2022.CORUM:哺乳动物蛋白质复合物综合资源-2022 年版。
Nucleic Acids Res. 2023 Jan 6;51(D1):D539-D545. doi: 10.1093/nar/gkac1015.
7
The phenotypic landscape of essential human genes.必需人类基因的表型景观。
Cell. 2022 Nov 23;185(24):4634-4653.e22. doi: 10.1016/j.cell.2022.10.017. Epub 2022 Nov 7.
8
KEGG for taxonomy-based analysis of pathways and genomes.KEGG 用于基于分类的途径和基因组分析。
Nucleic Acids Res. 2023 Jan 6;51(D1):D587-D592. doi: 10.1093/nar/gkac963.
9
A comprehensive SARS-CoV-2-human protein-protein interactome reveals COVID-19 pathobiology and potential host therapeutic targets.全面的 SARS-CoV-2-人类蛋白质-蛋白质相互作用组揭示了 COVID-19 的发病机制和潜在的宿主治疗靶点。
Nat Biotechnol. 2023 Jan;41(1):128-139. doi: 10.1038/s41587-022-01474-0. Epub 2022 Oct 10.
10
A proteome-scale map of the SARS-CoV-2-human contactome.SARS-CoV-2 与人类互作组蛋白图谱
Nat Biotechnol. 2023 Jan;41(1):140-149. doi: 10.1038/s41587-022-01475-z. Epub 2022 Oct 10.