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Mitofusin 1-Mediated Redistribution of Mitochondrial Antiviral Signaling Protein Promotes Type 1 Interferon Response in Human Cytomegalovirus Infection. Microbiol Spectr 2023:e0461522. [PMID: 36939338 PMCID: PMC10100850 DOI: 10.1128/spectrum.04615-22] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023] Open
Abstract
One of the most potent anti-human cytomegalovirus (HCMV) immune mechanisms possessed by host cells is type I interferon (IFN1), which induces the expression of IFN-stimulated genes (ISGs). During this process, mitochondria play an important role in the IFN1 response, and mitofusin 1 (MFN1) is a key regulator of mitochondrial fusion located on the outer mitochondrial membrane. However, the underlying mechanism of MFN1's promotion of IFN1 during HCMV infection still remains unknown. In this study, HCMV infection promoted IFN1 production and enhanced ISG expression. Meanwhile, it promoted the increase of mitochondrial fusion in THP-1 cells and peripheral blood mononuclear cells (PBMCs), especially the expression of MFN1. Phosphorylation of tank binding kinase 1 (p-TBK1), interferon regulatory factor 3 (p-IRF3), and ISGs was significantly decreased in MFN1 or mitochondrial antiviral signaling protein (MAVS)-knockdown THP-1 cells, and MFN1 was constitutively associated with MAVS, positively regulated mitochondrial fusion, and IFN1 production. Knockdown of MFN1 inhibited the MAVS redistribution without affecting the MAVS expression, whereas the HCMV-induced IFN1 production decreased. Conversely, leflunomide could induce the expression of MFN1, thereby producing IFN1 and stimulating the expression of ISG in leflunomide-treated THP-1 cells. These observations reveal that HCMV infection leads to MFN1-mediated redistribution of MAVS and then induces an antiviral response of IFN1 and that the MFN-agonist leflunomide promotes IFN1 responses and may serve as a potential anti-HCMV therapy. IMPORTANCE Human cytomegalovirus (HCMV) infection is ubiquitous and is often asymptomatic in healthy individuals, but it can cause great damage to newborns, AIDS patients, and other immune deficiency patients. In this study, we found that HCMV infection caused mitochondrial fusion, and expression of mitofusin 1 (MFN1), which is a protein associated with mitochondrial antiviral signaling protein (MAVS), positively regulates mitochondrial fusion and HCMV-induced IFN1 response. Knockdown of MFN1 or MAVS can inhibit the HCMV-induced IFN1 production. What is more, confocal laser-scanning microscope showed that knockdown of MFN1 inhibits the HCMV-induced redistribution of MAVS. Conversely, MFN1 agonist leflunomide could induce IFN1 production. In conclusion, we provide new insight into the relationship between MFN1 and IFN1 during HCMV infection and show that MFN1 may serve as a potential strategy against HCMV infection.
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Hong YM, Min SY, Kim D, Kim S, Seo D, Lee KH, Han SH. Human MicroRNAs Attenuate the Expression of Immediate Early Proteins and HCMV Replication during Lytic and Latent Infection in Connection with Enhancement of Phosphorylated RelA/p65 (Serine 536) That Binds to MIEP. Int J Mol Sci 2022; 23:ijms23052769. [PMID: 35269913 PMCID: PMC8911160 DOI: 10.3390/ijms23052769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 02/24/2022] [Accepted: 02/28/2022] [Indexed: 02/05/2023] Open
Abstract
Attenuating the expression of immediate early (IE) proteins is essential for controlling the lytic replication of human cytomegalovirus (HCMV). The human microRNAs (hsa-miRs), miR-200b-3p and miR-200c-3p, have been identified to bind the 3′-untranslated region (3′-UTR) of the mRNA encoding IE proteins. However, whether hsa-miRs can reduce IE72 expression and HCMV viral load or exhibit a crosstalk with the host cellular signaling machinery, most importantly the NF-κB cascade, has not been evaluated. In this study, argonaute-crosslinking and immunoprecipitation-seq revealed that miR-200b-3p and miR-200c-3p bind the 3′-UTR of UL123, which is a gene that encodes IE72. The binding of these miRNAs to the 3′-UTR of UL123 was verified in transfected cells stably expressing GFP. We used miR-200b-3p/miR-200c-3p mimics to counteract the downregulation of these miRNA after acute HCMV infection. This resulted in reduced IE72/IE86 expression and HCMV VL during lytic infection. We determined that IE72/IE86 alone can inhibit the phosphorylation of RelA/p65 at the Ser536 residue and that p-Ser536 RelA/p65 binds to the major IE promoter/enhancer (MIEP). The upregulation of miR-200b-3p and miR-200c-3p resulted in the phosphorylation of RelA/p65 at Ser536 through the downregulation of IE, and the binding of the resultant p-Ser536 RelA/p65 to MIEP resulted in a decreased production of pro-inflammatory cytokines. Overall, miR-200b-3p and miR-200c-3p—together with p-Ser536 RelA/p65—can prevent lytic HCMV replication during acute and latent infection
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Affiliation(s)
- Yeon-Mi Hong
- Division of Infectious Disease, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 06273, Korea; (Y.-M.H.); (S.Y.M.); (D.K.); (S.K.); (K.H.L.)
| | - Seo Yeon Min
- Division of Infectious Disease, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 06273, Korea; (Y.-M.H.); (S.Y.M.); (D.K.); (S.K.); (K.H.L.)
| | - Dayeong Kim
- Division of Infectious Disease, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 06273, Korea; (Y.-M.H.); (S.Y.M.); (D.K.); (S.K.); (K.H.L.)
| | - Subin Kim
- Division of Infectious Disease, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 06273, Korea; (Y.-M.H.); (S.Y.M.); (D.K.); (S.K.); (K.H.L.)
| | - Daekwan Seo
- Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul 06273, Korea;
| | - Kyoung Hwa Lee
- Division of Infectious Disease, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 06273, Korea; (Y.-M.H.); (S.Y.M.); (D.K.); (S.K.); (K.H.L.)
| | - Sang Hoon Han
- Division of Infectious Disease, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 06273, Korea; (Y.-M.H.); (S.Y.M.); (D.K.); (S.K.); (K.H.L.)
- Correspondence: ; Tel.: +82-2-2019-3319; Fax: +82-2-3463-3882
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STING facilitates nuclear import of herpesvirus genome during infection. Proc Natl Acad Sci U S A 2021; 118:2108631118. [PMID: 34385328 DOI: 10.1073/pnas.2108631118] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Once inside the host cell, DNA viruses must overcome the physical barrier posed by the nuclear envelope to establish a successful infection. The mechanism underlying this process remains unclear. Here, we show that the herpesvirus exploits the immune adaptor stimulator of interferon genes (STING) to facilitate nuclear import of the viral genome. Following the entry of the viral capsid into the cell, STING binds the viral capsid, mediates capsid docking to the nuclear pore complex via physical interaction, and subsequently enables accumulation of the viral genome in the nucleus. Silencing STING in human cytomegalovirus (HCMV)-susceptible cells inhibited nuclear import of the viral genome and reduced the ensuing viral gene expression. Overexpressing STING increased the host cell's susceptibility to HCMV and herpes simplex virus 1 by improving the nuclear delivery of viral DNA at the early stage of infection. These observations suggest that the proviral activity of STING is conserved and exploited by the herpesvirus family. Intriguingly, in monocytes, which act as latent reservoirs of HCMV, STING deficiency negatively regulated the establishment of HCMV latency and reactivation. Our findings identify STING as a proviral host factor regulating latency and reactivation of herpesviruses.
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Xiao K, Xiong D, Chen G, Yu J, Li Y, Chen K, Zhang L, Xu Y, Xu Q, Huang X, Gao A, Cao K, Yan K, Dai J, Hu X, Ruan Y, Fu Z, Li G, Cao G. RUNX1-mediated alphaherpesvirus-host trans-species chromatin interaction promotes viral transcription. SCIENCE ADVANCES 2021; 7:7/26/eabf8962. [PMID: 34162542 PMCID: PMC8221632 DOI: 10.1126/sciadv.abf8962] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 05/10/2021] [Indexed: 05/04/2023]
Abstract
Like most DNA viruses, herpesviruses precisely deliver their genomes into the sophisticatedly organized nuclei of the infected host cells to initiate subsequent transcription and replication. However, it remains elusive how the viral genome specifically interacts with the host genome and hijacks host transcription machinery. Using pseudorabies virus (PRV) as model virus, we performed chromosome conformation capture assays to demonstrate a genome-wide specific trans-species chromatin interaction between the virus and host. Our data show that the PRV genome is delivered by the host DNA binding protein RUNX1 into the open chromatin and active transcription zone. This facilitates virus hijacking host RNAPII to efficiently transcribe viral genes, which is significantly inhibited by either a RUNX1 inhibitor or RNA interference. Together, these findings provide insights into the chromatin interaction between viral and host genomes and identify new areas of research to advance the understanding of herpesvirus genome transcription.
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Affiliation(s)
- Ke Xiao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Dan Xiong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Gong Chen
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Jinsong Yu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Yue Li
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Kening Chen
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China
| | - Lu Zhang
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Yangyang Xu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Qian Xu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Xi Huang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Anran Gao
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Kai Cao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Keji Yan
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Jinxia Dai
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Xueying Hu
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Yijun Ruan
- Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Zhenfang Fu
- Department of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
| | - Guoliang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
- College of Biomedicine and Health, Huazhong Agricultural University, Wuhan 430070, China
| | - Gang Cao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China.
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
- College of Biomedicine and Health, Huazhong Agricultural University, Wuhan 430070, China
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Transcriptome altered by latent human cytomegalovirus infection on THP-1 cells using RNA-seq. Gene 2016; 594:144-150. [PMID: 27623506 PMCID: PMC7126988 DOI: 10.1016/j.gene.2016.09.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2016] [Revised: 09/02/2016] [Accepted: 09/07/2016] [Indexed: 02/08/2023]
Abstract
Human cytomegalovirus (HCMV) has been recognized as a cause of severe, sometimes life-threatening disease in congenitally infected newborns as well as in immunocompromised individuals. However, the molecular mechanisms of the host-virus interaction remain poorly understood. Here, we profiled the expression of mRNAs and long noncoding RNAs (lncRNAs) in THP-1 cells using the emerging RNA-seq to investigate the transcriptional changes during HCMV latent infection. At 4 days post HCMV infection, a total of 169,008,624 sequence reads and 180,616 transcripts were obtained, respectively. Of these transcripts, 1,354 noncoding genes and 12,952 protein-coding genes were observed in Refseq database. Differential gene expression analysis identified 2,153 differentially expressed genes (DEGs) between HCMV-infected and mock-infected THP-1 cells, including 1,098 up-regulated genes and 1,055 down-regulated genes. These regulated genes were involved in pathways of apoptosis, inflammatory response and cell cycle progression, all of which may be implicated in viral pathogenesis. In addition, 646 lncRNAs (208 known lncRNAs and 438 novel lncRNAs) were upregulated and 424 (140 known and 284 novel) were downregulated in infected THP-1 cells. These findings have provided a dynamic scenario of DE candidate genes and lncRNAs at the virus-host interface and clearly warrant further experimental investigation associated with HCMV infection. Differential gene expression analysis identified 2,153 differentially expressed genes between HCMV-infected cells and mock-infected THP-1 cells. These regulated genes were involved in pathways of apoptosis, inflammatory response and cell cycle progression, all of which may be implicated in viral pathogenesis. lncRNAs may involved in regulation of HCMV latent infection.
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