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Huang T, Wang X, Mi Y, Wu W, Xu X, Li C, Wen Y, Li B, Li Y, Sun L, Li J, Wang M, Liu T, Wang S, Liang M. Time-Course Transcriptome Analysis Reveals Distinct Phases and Identifies Two Key Genes during Severe Fever with Thrombocytopenia Syndrome Virus Infection in PMA-Induced THP-1 Cells. Viruses 2023; 16:59. [PMID: 38257759 PMCID: PMC10819900 DOI: 10.3390/v16010059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/23/2023] [Accepted: 12/25/2023] [Indexed: 01/24/2024] Open
Abstract
In recent years, there have been significant advancements in the research of Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV). However, several limitations and challenges still exist. For instance, researchers face constraints regarding experimental conditions and the feasibility of sample acquisition for studying SFTSV. To enhance the quality and comprehensiveness of SFTSV research, we opted to employ PMA-induced THP-1 cells as a model for SFTSV infection. Multiple time points of SFTSV infection were designed to capture the dynamic nature of the virus-host interaction. Through a comprehensive analysis utilizing various bioinformatics approaches, including diverse clustering methods, MUfzz analysis, and LASSO/Cox machine learning, we performed dynamic analysis and identified key genes associated with SFTSV infection at the host cell transcriptomic level. Notably, successful clustering was achieved for samples infected at different time points, leading to the identification of two important genes, PHGDH and NLRP12. And these findings may provide valuable insights into the pathogenesis of SFTSV and contribute to our understanding of host-virus interactions.
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Affiliation(s)
- Tao Huang
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Xueqi Wang
- Capital Institute of Pediatrics, Beijing 100020, China;
| | - Yuqian Mi
- Shanxi Academy of Advanced Research and Innovation, Taiyuan 030032, China;
| | - Wei Wu
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Xiao Xu
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Chuan Li
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Yanhan Wen
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Boyang Li
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Yang Li
- Chongqing Research Institute of Big Data, Peking University, Chongqing 400039, China
| | - Lina Sun
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Jiandong Li
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Mengxuan Wang
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Tiezhu Liu
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Shiwen Wang
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
| | - Mifang Liang
- State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (T.H.); (W.W.); (X.X.)
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Zhu J, Fan J, Xia Y, Wang H, Li Y, Feng Z, Fu C. Potential therapeutic targets of macrophages in inhibiting immune damage and fibrotic processes in musculoskeletal diseases. Front Immunol 2023; 14:1219487. [PMID: 37545490 PMCID: PMC10400722 DOI: 10.3389/fimmu.2023.1219487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 07/04/2023] [Indexed: 08/08/2023] Open
Abstract
Macrophages are a heterogeneous cell type with high plasticity, exhibiting unique activation characteristics that modulate the progression and resolution of diseases, serving as a key mediator in maintaining tissue homeostasis. Macrophages display a variety of activation states in response to stimuli in the local environment, with their subpopulations and biological functions being dependent on the local microenvironment. Resident tissue macrophages exhibit distinct transcriptional profiles and functions, all of which are essential for maintaining internal homeostasis. Dysfunctional macrophage subpopulations, or an imbalance in the M1/M2 subpopulation ratio, contribute to the pathogenesis of diseases. In skeletal muscle disorders, immune and inflammatory damage, as well as fibrosis induced by macrophages, are prominent pathological features. Therefore, targeting macrophages is of great significance for maintaining tissue homeostasis and treating skeletal muscle disorders. In this review, we discuss the receptor-ligand interactions regulating macrophages and identify potential targets for inhibiting collateral damage and fibrosis in skeletal muscle disorders. Furthermore, we explore strategies for modulating macrophages to maintain tissue homeostasis.
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Affiliation(s)
- Jianshu Zhu
- Department of Spine Surgery, The First Hospital of Jilin University, Changchun, China
| | - Jiawei Fan
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China
| | - Yuanliang Xia
- Department of Spine Surgery, The First Hospital of Jilin University, Changchun, China
| | - Hengyi Wang
- Department of Spine Surgery, The First Hospital of Jilin University, Changchun, China
| | - Yuehong Li
- Department of Spine Surgery, The First Hospital of Jilin University, Changchun, China
| | - Zijia Feng
- Department of Spine Surgery, The First Hospital of Jilin University, Changchun, China
| | - Changfeng Fu
- Department of Spine Surgery, The First Hospital of Jilin University, Changchun, China
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