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Pianese V, Alvarez-Torres D, Gemez-Mata J, Garcia-Rosado E, Moreno P, Fausto AM, Taddei AR, Picchietti S, Scapigliati G. T-cells and CD45-cells discovery in the central nervous system of healthy and nodavirus-infected teleost fish Dicentrarchuslabrax. FISH & SHELLFISH IMMUNOLOGY 2024; 151:109646. [PMID: 38810712 DOI: 10.1016/j.fsi.2024.109646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 05/19/2024] [Accepted: 05/20/2024] [Indexed: 05/31/2024]
Abstract
To achieve insights in antiviral immune defense of the central nervous system (CNS), we investigated T cells and CD45 cells in the marine fish model Dicentrarchus labrax infected with the CNS-tropic virus betanodavirus. By employing markers for pan-T cells (mAb DLT15) and CD45-cells (mAb DLT22) in immunofluorescence (IIF) of leukocytes from brain, we obtained 3,7 ± 2.3 % of T cells and 7.3 ± 3.2 % of CD45+ cells. Both IIF and immunoelectron microscopy confirmed a leukocyte/glial morphology for the immunoreactive cells. Quantitative immunohistochemistry (qIHC) of brain/eye sections showed 1.9 ± 0.8 % of T+ cells and 2 ± 0.9 % of CD45+ cells in the brain, and 3.6 ± 1.9 % and 4.1 ± 2.2 % in the eye, respectively. After in vivo RGNNV infection the number of T cells/CD45+ leukocytes in the brain increased to 8.3 ± 2.1 % and 11.6 ± 4.4 % (by IIF), and 26.1 ± 3.4 % and 45.6 ± 5.9 % (by qIHC), respectively. In the eye we counted after infection 8.5 ± 4.4 % of T cells and 10.2 ± 5.8 % of CD45 cells. Gene transcription analysis of brain mRNA revealed a strong increase of gene transcripts coding for: antiviral proteins Mx and ISG-12; T-cell related CD3ε/δ, TcRβ, CD4, CD8α, CD45; and for immuno-modulatory cytokines TNFα, IL-2, IL-10. A RAG-1 gene product was also present and upregulated, suggesting somatic recombination in the fish brain. Similar transcription data were obtained in the eye, albeit with differences. Our findings provide first evidence for a recruitment and involvement of T cells and CD45+ leukocytes in the fish eye-brain axis during antiviral responses and suggest similarities in the CNS immune defense across evolutionary distant vertebrates.
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Affiliation(s)
- Valeria Pianese
- University of Tuscia, Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), Largo dell'Università, 01100, Viterbo (I), Italy.
| | - Daniel Alvarez-Torres
- University of Málaga, Institute of Biotecnology and Blue Development (IBYDA), 29071, Málaga (E), Spain.
| | - Juan Gemez-Mata
- University of Málaga, Institute of Biotecnology and Blue Development (IBYDA), Dept. Microbiology, Faculty of Sciences, 29071, Málaga (E), Spain.
| | - Esther Garcia-Rosado
- University of Málaga, Institute of Biotecnology and Blue Development (IBYDA), Dept. Microbiology, Faculty of Sciences, 29071, Málaga (E), Spain.
| | - Patricia Moreno
- University of Málaga, Institute of Biotecnology and Blue Development (IBYDA), Dept. Microbiology, Faculty of Sciences, 29071, Málaga (E), Spain.
| | - Anna Maria Fausto
- University of Tuscia, Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), Largo dell'Università, 01100, Viterbo (I), Italy.
| | - Anna Rita Taddei
- University of Tuscia, Section Microscopy (CGA), Largo dell'Università, 01100, Viterbo (I), Italy.
| | - Simona Picchietti
- University of Tuscia, Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), Largo dell'Università, 01100, Viterbo (I), Italy.
| | - Giuseppe Scapigliati
- University of Tuscia, Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), Largo dell'Università, 01100, Viterbo (I), Italy.
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Zhang H, Xiao W, Zhao M, Zhang Y, Lu D, Lu S, Zhang Q, Peng W, Shu L, Zhang J, Liu S, Zong K, Wang P, Ye B, Zhang D, Li S, Tan S, Liu P, Zhao Y, Zhang F, Wang H, Lu X, Gao GF, Liu J. Characterization of CD8 + T cells in immune-privileged organs of ZIKV-infected Ifnar1-/- mice. J Virol 2024; 98:e0078923. [PMID: 38168677 PMCID: PMC10805016 DOI: 10.1128/jvi.00789-23] [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: 06/11/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
Zika virus (ZIKV) infection caused neurological complications and male infertility, leading to the accumulation of antigen-specific immune cells in immune-privileged organs (IPOs). Thus, it is important to understand the immunological responses to ZIKV in IPOs. We extensively investigated the ZIKV-specific T cell immunity in IPOs in Ifnar1-/- mice, based on an immunodominant epitope E294-302 tetramer. The distinct kinetics and functions of virus-specific CD8+ T cells infiltrated into different IPOs were characterized, with late elevation in the brain and spinal cord. Single epitope E294-302-specific T cells can account for 20-60% of the total CD8+ T cells in the brain, spinal cord, and testicle and persist for at least 90 days in the brain and spinal cord. The E294-302-specific TCRαβs within the IPOs are featured with the majority of clonotypes utilizing TRAV9N-3 paired with diverse TRBV chains, but with distinct αβ paired clonotypes in 7 and 30 days post-infection. Specific chemokine receptors, Ccr2 and Ccr5, were selectively expressed in the E294-302-specific CD8+ T cells within the brain and testicle, indicating an IPO-oriented migration of virus-specific CD8+ T cells after infection. Overall, this study adds to the understanding of virus-specific CD8+ T cell responses for controlling and clearing ZIKV infection in IPOs.IMPORTANCEThe immune-privileged organs (IPOs), such as the central nervous system and testicles, presented pathogenicity and inflammation after Zika virus (ZIKV) infection with infiltrated CD8+ T cells. Our data show that CD8+ T cells keep up with virus increases and decreases in immune-privileged organs. Furthermore, our study provides the first ex vivo comparative analyses of the composition and diversity related to TCRα/β clonotypes across anatomical sites and ZIKV infection phases. We show that the vast majority of TCRα/β clonotypes in tissues utilize TRAV9N-3 with conservation. Specific chemokine expression, including Ccr2 and Ccr5, was found to be selectively expressed in the E294-302-specific CD8+ T cells within the brain and testicle, indicating an IPO-oriented migration of the virus-specific CD8+ T cells after the infection. Our study adds insights into the anti-viral immunological characterization and chemotaxis mechanism of virus-specific CD8+ T cells after ZIKV infection in different IPOs.
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Affiliation(s)
- Hangjie Zhang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Department of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Wenling Xiao
- Shunde Hospital, Guangzhou Medical University (The Lecong Hospital of Shunde, Foshan), Foshan, China
| | - Min Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Yongli Zhang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Dan Lu
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Shuangshuang Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Laboratory Animal Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qingxu Zhang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Weiyu Peng
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Liumei Shu
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jie Zhang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Sai Liu
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Kexin Zong
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Pengyan Wang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Beiwei Ye
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Danni Zhang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Shihua Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Shuguang Tan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Peipei Liu
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Fuping Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Huanyu Wang
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Xuancheng Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Laboratory Animal Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - George F. Gao
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
| | - Jun Liu
- NHC Key Laboratory of Biosafety, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing, China
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Agner SC, Brier LM, Hill J, Liu E, Bice A, Rahn RM, Culver JP, Klein RS. Myeloid cell activation during Zika virus encephalitis predicts recovery of functional cortical connectivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.06.547991. [PMID: 37461558 PMCID: PMC10350085 DOI: 10.1101/2023.07.06.547991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Neurologic complications of Zika virus (ZIKV) infection across the lifespan have been described during outbreaks in Southeast Asia, South America, and Central America since 2016. In the adult CNS ZIKV tropism for neurons is tightly linked to its effects, with neuronal loss within the hippocampus during acute infection and protracted synapse loss during recovery, which is associated with cognitive deficits. The effects of ZIKV on cortical networks have not been evaluated. Although animal behavior assays have been used previously to model cognitive impairment, in vivo brain imaging can provide orthogonal information regarding the health of brain networks in real time, providing a tool to translate findings in animal models to humans. In this study, we use widefield optical imaging to measure cortical functional connectivity (FC) in mice during acute infection with, and recovery from, intracranial infection with a mouse-adapted strain of ZIKV. Acute ZIKV infection leads to high levels of myeloid cell activation, with loss of neurons and presynaptic termini in the cerebral cortex and associated loss of FC primarily within the somatosensory cortex. During recovery, neuron numbers, synapses and FC recover to levels near those of healthy mice. However, hippocampal injury and impaired spatial cognition persist. The magnitude of activated myeloid cells during acute infection predicted both recovery of synapses and the degree of FC recovery after recovery from ZIKV infection. These findings suggest that a robust inflammatory response may contribute to the health of functional brain networks after recovery from infection.
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Affiliation(s)
- Shannon C. Agner
- Center for Neuroimmunology and Neuroinfectious Diseases, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Lindsey M. Brier
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jeremy Hill
- Center for Neuroimmunology and Neuroinfectious Diseases, Washington University School of Medicine, St. Louis, MO, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Ethan Liu
- Center for Neuroimmunology and Neuroinfectious Diseases, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Annie Bice
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Rachel M. Rahn
- Departments of Physics, Biomedical Engineering, and Electrical and Systems Engineering, Washington University School of Medicine, St. Louis, MO, USA
| | - Joseph P. Culver
- Departments of Physics, Biomedical Engineering, and Electrical and Systems Engineering, Washington University School of Medicine, St. Louis, MO, USA
| | - Robyn S. Klein
- Center for Neuroimmunology and Neuroinfectious Diseases, Washington University School of Medicine, St. Louis, MO, USA
- Departments of Medicine, Pathology & Immunology, and Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
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