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Feng J, Pu Z, Li R, Li Y, Qin X, Zhang H, Zhang Y. Correlation between Circulating T Follicular Helper Cell Levels after Infection and a Decreased Risk of COVID-19 Re-infection. Virol Sin 2024:S1995-820X(24)00081-6. [PMID: 38852919 DOI: 10.1016/j.virs.2024.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 05/30/2024] [Indexed: 06/11/2024] Open
Affiliation(s)
- Jinzhu Feng
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zeyu Pu
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Rong Li
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuzhuang Li
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xuewen Qin
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Hui Zhang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yiwen Zhang
- Institute of Human Virology, Department of Pathogen Biology and Biosecurity, Key Laboratory of Tropical Disease Control of Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
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Yang G, Cao J, Qin J, Mei X, Deng S, Xia Y, Zhao J, Wang J, Luan T, Chen D, Huang P, Chen C, Sun X, Luo Q, Su J, Zhang Y, Zhong N, Wang Z. Initial COVID-19 severity influenced by SARS-CoV-2-specific T cells imprints T-cell memory and inversely affects reinfection. Signal Transduct Target Ther 2024; 9:141. [PMID: 38811527 PMCID: PMC11136975 DOI: 10.1038/s41392-024-01867-4] [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: 02/10/2024] [Revised: 05/10/2024] [Accepted: 05/12/2024] [Indexed: 05/31/2024] Open
Abstract
The immunoprotective components control COVID-19 disease severity, as well as long-term adaptive immunity maintenance and subsequent reinfection risk discrepancies across initial COVID-19 severity, remain unclarified. Here, we longitudinally analyzed SARS-CoV-2-specific immune effectors during the acute infection and convalescent phases of 165 patients with COVID-19 categorized by severity. We found that early and robust SARS-CoV-2-specific CD4+ and CD8+ T cell responses ameliorate disease progression and shortened hospital stay, while delayed and attenuated virus-specific CD8+ T cell responses are prominent severe COVID-19 features. Delayed antiviral antibody generation rather than titer level associates with severe outcomes. Conversely, initial COVID-19 severity imprints the long-term maintenance of SARS-CoV-2-specific adaptive immunity, demonstrating that severe convalescents exhibited more sustained virus-specific antibodies and memory T cell responses compared to mild/moderate counterparts. Moreover, initial COVID-19 severity inversely correlates with SARS-CoV-2 reinfection risk. Overall, our study unravels the complicated interaction between temporal characteristics of virus-specific T cell responses and COVID-19 severity to guide future SARS-CoV-2 wave management.
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Affiliation(s)
- Gang Yang
- The Affiliated Hospital of Kunming University of Science and Technology. Department of Respiratory and Critical Care Medicine, The First People's Hospital of Yunnan province, Kunming, Yunnan, China
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
| | - Jinpeng Cao
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Jian Qin
- The Affiliated Hospital of Kunming University of Science and Technology. Department of Respiratory and Critical Care Medicine, The First People's Hospital of Yunnan province, Kunming, Yunnan, China
| | - Xinyue Mei
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Shidong Deng
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Yingjiao Xia
- The Affiliated Hospital of Kunming University of Science and Technology. Department of Respiratory and Critical Care Medicine, The First People's Hospital of Yunnan province, Kunming, Yunnan, China
| | - Jun Zhao
- The Affiliated Hospital of Kunming University of Science and Technology. Department of Respiratory and Critical Care Medicine, The First People's Hospital of Yunnan province, Kunming, Yunnan, China
| | - Junxiang Wang
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Tao Luan
- The Affiliated Hospital of Kunming University of Science and Technology. Department of Respiratory and Critical Care Medicine, The First People's Hospital of Yunnan province, Kunming, Yunnan, China
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
| | - Daxiang Chen
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Peiyu Huang
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Cheng Chen
- The Affiliated Hospital of Kunming University of Science and Technology. Department of Respiratory and Critical Care Medicine, The First People's Hospital of Yunnan province, Kunming, Yunnan, China
| | - Xi Sun
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Qi Luo
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Jie Su
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Yunhui Zhang
- The Affiliated Hospital of Kunming University of Science and Technology. Department of Respiratory and Critical Care Medicine, The First People's Hospital of Yunnan province, Kunming, Yunnan, China.
| | - Nanshan Zhong
- The Affiliated Hospital of Kunming University of Science and Technology. Department of Respiratory and Critical Care Medicine, The First People's Hospital of Yunnan province, Kunming, Yunnan, China.
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China.
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
| | - Zhongfang Wang
- Guangzhou National Laboratory, Bioland, Guangzhou, Guangdong, China.
- State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
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Harris EM, Chamseddine S, Chu A, Senkpeil L, Nikiciuk M, Al-Musa A, Woods B, Ozdogan E, Saker S, van Konijnenburg DPH, Yee CS, Nelson R, Lee P, Halyabar O, Hale RC, Day-Lewis M, Henderson LA, Nguyen AA, Elkins M, Ohsumi TK, Gutierrez-Arcelus M, Peyper JM, Platt CD, Grace RF, LaBere B, Chou J. Integrating circulating T follicular memory cells and autoantibody repertoires for characterization of autoimmune disorders. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.25.24303331. [PMID: 38464255 PMCID: PMC10925364 DOI: 10.1101/2024.02.25.24303331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Introduction Autoimmune diseases are heterogeneous and often lack specific or sensitive diagnostic tests. Increased percentages of CD4+CXCR5+PD1+ circulating T follicular helper (cTfh) cells and skewed distributions of cTfh subtypes have been associated with autoimmunity. However, cTfh cell percentages can normalize with immunomodulatory treatment despite persistent disease activity, indicating the need for identifying additional cellular and/or serologic features correlating with autoimmunity. Methods The cohort included 50 controls and 56 patients with autoimmune cytopenias, gastrointestinal, pulmonary, and/or neurologic autoimmune disease. Flow cytometry was used to measure CD4+CXCR5+ T cell subsets expressing the chemokine receptors CXCR3 and/or CCR6: CXCR3+CCR6- Type 1, CXCR3-CCR6- Type 2, CXCR3+CCR6+ Type 1/17, and CXCR3- CCR6+ Type 17 T cells. IgG and IgA autoantibodies were quantified using a microarray featuring 1616 full-length, conformationally intact protein antigens. The 97.5th percentile in the control cohort defined normal limits for T cell subset percentages and total number (burden) of autoantibodies. Results This study focused on CD4+CXCR5+ T cells because CXCR5 upregulation occurs after cognate T-B cell interactions characteristic of autoimmune diseases. We refer to these cells as circulating T follicular memory (cTfm) cells to acknowledge the dynamic nature of antigen-experienced CXCR5+ T cells, which encompass progenitors of cTfh or Tfh cells as well as early effector memory T cells that have not yet lost CXCR5. Compared to controls, 57.1% of patients had increased CXCR5+CXCR3+CCR6+ cTfm1/17 and 25% had increased CXCR5+CXCR3-CCR6+ cTfm17 cell percentages. Patients had significantly more diverse IgG and IgA autoantibodies than controls and 44.6% had an increased burden of autoantibodies of either isotype. Unsupervised autoantibody clustering identified three clusters of patients with IgG autoantibody profiles distinct from those of controls, enriched for patients with active autoimmunity and monogenic diseases. An increased percentage of cTfm17 cells was most closely associated with an increased burden of high-titer IgG and IgA autoantibodies. A composite measure integrating increased cTfm1/17, cTfm17, and high-titer IgG and/or IgA autoantibodies had 91.1% sensitivity and 90.9% specificity for identifying patients with autoimmunity. Percentages of cTfm1/17 and cTfm17 percentages and numbers of high-titer autoantibodies in patients receiving immunomodulatory treatment did not differ from those in untreated patients, thus suggesting that measurements of cTfm can complement measurements of other cellular markers affected by treatment. Conclusions This study highlights two new approaches for assessing autoimmunity: measuring CD4+CXCR5+ cTfm subsets as well as total burden of autoantibodies. Our findings suggest that these approaches are particularly relevant to patients with rare autoimmune disorders for whom target antigens and prognosis are often unknown.
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Affiliation(s)
- Emily M. Harris
- Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA, USA
| | - Sarah Chamseddine
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Anne Chu
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Northeastern University, Boston, MA
| | - Leetah Senkpeil
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Matthew Nikiciuk
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Northeastern University, Boston, MA
| | - Amer Al-Musa
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Brian Woods
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Sarife Saker
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Christina S.K. Yee
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ryan Nelson
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Pui Lee
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Olha Halyabar
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Rebecca C. Hale
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Megan Day-Lewis
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Lauren A. Henderson
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Alan A. Nguyen
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Megan Elkins
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | | | - Craig D. Platt
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Rachael F. Grace
- Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA, USA
| | - Brenna LaBere
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Current affiliation: Division of Allergy and Immunology, Phoenix Children’s Hospital, Phoenix, AZ 85016
| | - Janet Chou
- Division of Immunology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
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Hu Y, Bao F, Fu S, Feng S, Miao J, Miao P, Xu Y. A facile electrochemical biosensor for coronavirus RNA assay with silver deposition. Talanta 2024; 266:125013. [PMID: 37536110 DOI: 10.1016/j.talanta.2023.125013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/23/2023] [Accepted: 07/28/2023] [Indexed: 08/05/2023]
Abstract
Coronaviruses are highly infectious and pose a serious threat to human and animal healths. In this work, a facile electrochemical method based on Exonuclease III (Exo III) catalyzed digestion and silver deposition is developed for coronavirus RNA analysis. A magnetic separation procedure is performed to specifically identify target sequence and release single-stranded DNA modified gold nanoparticles (AuNPs). The nanoparticles can thus be immobilized at a screen-printed electrode and catalyze silver deposition for signal readout. This method allows sensitive analysis of PEDV and SARS-CoV-2 RNAs in the concentration range from 1 to 1000 nM with the limits of detection as low as 0.47 nM and 0.17 nM, respectively. Good specificities are demonstrated. Thus, the proposed method may have great potential use in the applications of coronaviruses analysis.
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Affiliation(s)
- Yaqi Hu
- Sanya Institute of Nanjing Agricultural University, MOE Joint International Research Laboratory of Animal Health and Food Safety, Key Laboratory of Animal Physiology & Biochemistry, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, PR China
| | - Fang Bao
- Sanya Institute of Nanjing Agricultural University, MOE Joint International Research Laboratory of Animal Health and Food Safety, Key Laboratory of Animal Physiology & Biochemistry, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, PR China
| | - Siyuan Fu
- Sanya Institute of Nanjing Agricultural University, MOE Joint International Research Laboratory of Animal Health and Food Safety, Key Laboratory of Animal Physiology & Biochemistry, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, PR China
| | - Shiyuan Feng
- Sanya Institute of Nanjing Agricultural University, MOE Joint International Research Laboratory of Animal Health and Food Safety, Key Laboratory of Animal Physiology & Biochemistry, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, PR China
| | - Jinfeng Miao
- Sanya Institute of Nanjing Agricultural University, MOE Joint International Research Laboratory of Animal Health and Food Safety, Key Laboratory of Animal Physiology & Biochemistry, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, PR China
| | - Peng Miao
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, PR China.
| | - Yuanyuan Xu
- Sanya Institute of Nanjing Agricultural University, MOE Joint International Research Laboratory of Animal Health and Food Safety, Key Laboratory of Animal Physiology & Biochemistry, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, PR China.
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Rubinstein A, Kudryavtsev I, Malkova A, Mammedova J, Isakov D, Isakova-Sivak I, Kudlay D, Starshinova A. Sarcoidosis-related autoimmune inflammation in COVID-19 convalescent patients. Front Med (Lausanne) 2023; 10:1271198. [PMID: 38179278 PMCID: PMC10765615 DOI: 10.3389/fmed.2023.1271198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/27/2023] [Indexed: 01/06/2024] Open
Abstract
Currently, there are a large number of reports about the development of autoimmune conditions after COVID-19. Also, there have been cases of sarcoid-like granulomas in convalescents as a part of the post-COVID-19 syndrome. Since one of the etiological theories of sarcoidosis considers it to be an autoimmune disease, we decided to study changes in the adaptive humoral immune response in sarcoidosis and SARS-CoV-2 infection and to find out whether COVID-19 can provoke the development of sarcoidosis. This review discusses histological changes in lymphoid organs in sarcoidosis and COVID-19, changes in B cell subpopulations, T-follicular helper cells (Tfh), and T-follicular regulatory cells (Tfr), and analyzes various autoantibodies detected in these pathologies. Based on the data studied, we concluded that SARS-CoV-2 infection may cause the development of autoimmune pathologies, in particular contributing to the onset of sarcoidosis in convalescents.
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Affiliation(s)
- Artem Rubinstein
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- Institution of Experimental Medicine, Saint Petersburg, Russia
| | - Igor Kudryavtsev
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- Institution of Experimental Medicine, Saint Petersburg, Russia
- Far Eastern Federal University, Vladivostok, Russia
| | - Annа Malkova
- Ariel University Faculty of Natural Sciences, Ariel, Israel
| | | | - Dmitry Isakov
- First Saint Petersburg State I. Pavlov Medical University, Saint Petersburg, Russia
| | | | - Dmitry Kudlay
- Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
- NRC Institute of Immunology, Moscow, Russia
- Department of Pharmacognosy and Industrial Pharmacy, Faculty of Fundamental Medicine, Moscow, Russia
| | - Anna Starshinova
- Almazov National Medical Research Centre, Saint Petersburg, Russia
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