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Profiling of Peripheral TRBV and CD4+CD25+ Treg in CHB Patients with HBeAg SC during TDF Treatment. J Immunol Res 2023; 2023:1914036. [PMID: 36660247 PMCID: PMC9845053 DOI: 10.1155/2023/1914036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/12/2022] [Accepted: 12/20/2022] [Indexed: 01/12/2023] Open
Abstract
Background It is lacking that markers could predict the prognosis of chronic hepatitis B (CHB) subjects during antiviral treatment, and the related cellular immune mechanism is not fully evaluated. Aim To explore the comprehensive profile of T cell receptor β-chain (TRBV) and CD4+CD25+ regulatory T cell (Treg) in peripheral blood of CHB patients with HBeAg seroconverting (SC) during tenofovir disoproxil fumarate (TDF) treatment. Methods The frequency of CD4+CD25high+ Treg and number of skewed TRBV in 20 HBeAg positive patients were determined at baseline and following every 12 weeks during 96-week TDF treatment. The relationship among serum alanine aminotransferase (ALT) level, HBV DNA load, Treg frequency, and the number of skewed TRBV, respectively, was analyzed for CHB patients. Receiver operative characteristic curve was applied to analyze their diagnostic value for HBeAg SC. Results The number of skewed TRBV at week 48, Treg frequency at week 72, and ALT level at baseline could predict the HBeAg SC or non-SC in CHB patients during 96-week TDF treatment. Moreover, the positive correlation between ALT or HBV DNA and Treg levels or skewed TRBVs was significant in the SC group, but not in non-SC. Conclusions The predictive cutoff value of ALT for HBeAg SC was 178 U/L at baseline. Moreover, the ALT, Treg, and TRBV families would be associated with the prognosis and pathogenesis of CHB patients during TDF treatment.
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Sitoe N, Ahmed MIM, Enosse M, Bakuli A, Chissumba RM, Held K, Hoelscher M, Nhassengo P, Khosa C, Rachow A, Geldmacher C. Tuberculosis Treatment Response Monitoring by the Phenotypic Characterization of MTB-Specific CD4+ T-Cells in Relation to HIV Infection Status. Pathogens 2022; 11:pathogens11091034. [PMID: 36145465 PMCID: PMC9506022 DOI: 10.3390/pathogens11091034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/03/2022] [Accepted: 09/06/2022] [Indexed: 11/16/2022] Open
Abstract
HIV infection causes systemic immune activation, impacts TB disease progression and hence may influence the diagnostic usability of Mycobacterium tuberculosis-specific T cell profiling. We investigated changes of activation and maturation markers on MTB-specific CD4+ T-cells after anti-tuberculosis treatment initiation in relation to HIV status and the severity of lung impairment. Thawed peripheral blood mononuclear cells from TB patients with (n = 27) and without HIV (n = 17) were analyzed using an intracellular IFN-γ assay and flow cytometry 2 and 6 months post-TB treatment initiation. H37Rv antigen was superior to the profile MTB-specific CD4+ T-cells phenotype when compared to PPD and ESAT6/CFP10. Regardless of HIV status and the severity of lung impairment, activation markers (CD38, HLA-DR and Ki67) on MTB-specific CD4+ T-cells declined after TB treatment initiation (p < 0.01), but the expression of the maturation marker CD27 did not change over the course of TB treatment. The MTB-specific T cell phenotype before, during and after treatment completion was similar between people living with and without HIV, as well as between subjects with severe and mild lung impairment. These data suggest that the assessment of activation and maturation markers on MTB-specific CD4+ T-cells can be useful for TB treatment monitoring, regardless of HIV status and the severity of lung disease.
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Affiliation(s)
- Nádia Sitoe
- Instituto Nacional de Saúde, Marracuene 3943, Mozambique
- CIH LMU Center for International Health, Ludwig-Maximilians University, 80802 Munich, Germany
- Correspondence: ; Tel.: +258-840784833
| | - Mohamed I. M. Ahmed
- Division of Infectious Diseases and Tropical Medicine, Klinikum of the University of Munich (LMU), 80802 Munich, Germany
- German Center for Infection Research, Partner Site Munich, 80802 Munich, Germany
| | - Maria Enosse
- Instituto Nacional de Saúde, Marracuene 3943, Mozambique
| | - Abhishek Bakuli
- Division of Infectious Diseases and Tropical Medicine, Klinikum of the University of Munich (LMU), 80802 Munich, Germany
- German Center for Infection Research, Partner Site Munich, 80802 Munich, Germany
| | | | - Kathrin Held
- Division of Infectious Diseases and Tropical Medicine, Klinikum of the University of Munich (LMU), 80802 Munich, Germany
- German Center for Infection Research, Partner Site Munich, 80802 Munich, Germany
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, Klinikum of the University of Munich (LMU), 80802 Munich, Germany
- German Center for Infection Research, Partner Site Munich, 80802 Munich, Germany
| | | | - Celso Khosa
- Instituto Nacional de Saúde, Marracuene 3943, Mozambique
| | - Andrea Rachow
- Division of Infectious Diseases and Tropical Medicine, Klinikum of the University of Munich (LMU), 80802 Munich, Germany
- German Center for Infection Research, Partner Site Munich, 80802 Munich, Germany
| | - Christof Geldmacher
- Division of Infectious Diseases and Tropical Medicine, Klinikum of the University of Munich (LMU), 80802 Munich, Germany
- German Center for Infection Research, Partner Site Munich, 80802 Munich, Germany
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Luo Y, Xue Y, Tang G, Cai Y, Yuan X, Lin Q, Song H, Liu W, Mao L, Zhou Y, Chen Z, Zhu Y, Liu W, Wu S, Wang F, Sun Z. Lymphocyte-Related Immunological Indicators for Stratifying Mycobacterium tuberculosis Infection. Front Immunol 2021; 12:658843. [PMID: 34276653 PMCID: PMC8278865 DOI: 10.3389/fimmu.2021.658843] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 06/10/2021] [Indexed: 12/16/2022] Open
Abstract
Background Easily accessible tools that reliably stratify Mycobacterium tuberculosis (MTB) infection are needed to facilitate the improvement of clinical management. The current study attempts to reveal lymphocyte-related immune characteristics of active tuberculosis (ATB) patients and establish immunodiagnostic model for discriminating ATB from latent tuberculosis infection (LTBI) and healthy controls (HC). Methods A total of 171 subjects consisted of 54 ATB, 57 LTBI, and 60 HC were consecutively recruited at Tongji hospital from January 2019 to January 2021. All participants were tested for lymphocyte subsets, phenotype, and function. Other examination including T-SPOT and microbiological detection for MTB were performed simultaneously. Results Compared with LTBI and HC, ATB patients exhibited significantly lower number and function of lymphocytes including CD4+ T cells, CD8+ T cells and NK cells, and significantly higher T cell activation represented by HLA-DR and proportion of immunosuppressive cells represented by Treg. An immunodiagnostic model based on the combination of NK cell number, HLA-DR+CD3+ T cells, Treg, CD4+ T cell function, and NK cell function was built using logistic regression. Based on receiver operating characteristic curve analysis, the area under the curve (AUC) of the diagnostic model was 0.920 (95% CI, 0.867-0.973) in distinguishing ATB from LTBI, while the cut-off value of 0.676 produced a sensitivity of 81.48% (95% CI, 69.16%-89.62%) and specificity of 91.23% (95% CI, 81.06%-96.20%). Meanwhile, AUC analysis between ATB and HC according to the diagnostic model was 0.911 (95% CI, 0.855-0.967), with a sensitivity of 81.48% (95% CI, 69.16%-89.62%) and a specificity of 90.00% (95% CI, 79.85%-95.34%). Conclusions Our study demonstrated that the immunodiagnostic model established by the combination of lymphocyte-related indicators could facilitate the status differentiation of MTB infection.
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Affiliation(s)
- Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Xue
- Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yimin Cai
- Department of Epidemiology and Biostatistics, Key Laboratory of Environmental Health of Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xu Yuan
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qun Lin
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liyan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Zhou
- Department of Laboratory Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Zhongju Chen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yaowu Zhu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiyong Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiji Wu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Chen ZY, Wang L, Gu L, Qu R, Lowrie DB, Hu Z, Sha W, Fan XY. Decreased Expression of CD69 on T Cells in Tuberculosis Infection Resisters. Front Microbiol 2020; 11:1901. [PMID: 32849474 PMCID: PMC7426741 DOI: 10.3389/fmicb.2020.01901] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 07/20/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND CD69 is a biomarker of T-cell activation status, but its activation status in human Mycobacterium tuberculosis (Mtb) infection remains elusive. METHODS A set of cohorts of patients with different tuberculosis (TB) infection status including active TB patients (ATB), latent tuberculous infection patients (LTBI) and close contacts (CCs) of ATB was designed, and the expression profiles of CD69 and several T-cell markers were determined on Mtb antigen-stimulated T cells by flow cytometry. RESULTS The frequencies of CD4+ and CD8+ T cells were both comparable among Mtb-infected individuals including ATB and LTBI, which guaranteed the consistency of the background level. A t-Distributed Stochastic Neighbor Embedding (tSNE) analysis on a panel of six phenotypic markers showed a unique color map axis gated on T cells in the CCs group compared with ATB and LTBI populations. By further gating on cells positive for each individual marker and then overlaying those events on top of the tSNE plots, their distribution suggested that some markers were expressed differently in the CCs group. Further analysis showed that the expression levels of CD69 on both CD4+ and CD8+ T cells were significantly lower in the CCs group, especially in interferon-γ-responding T cells. CONCLUSION Our findings suggest that the T-cell activation status of CD69 is associated with Mtb infection and may have the potential to distinguish LTBI from those populations who have been exposed continuously to Mtb but have not become infected.
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Affiliation(s)
- Zhen-Yan Chen
- Shanghai Public Health Clinical Center, Key Laboratory of Medical Molecular Virology of MOE/MOH, Fudan University, Shanghai, China
| | - Lei Wang
- Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Ling Gu
- Shanghai Public Health Clinical Center, Key Laboratory of Medical Molecular Virology of MOE/MOH, Fudan University, Shanghai, China
| | - Rong Qu
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, China
| | - Douglas B. Lowrie
- Shanghai Public Health Clinical Center, Key Laboratory of Medical Molecular Virology of MOE/MOH, Fudan University, Shanghai, China
- TB Center, Shanghai Emerging and Re-emerging Institute, Shanghai, China
| | - Zhidong Hu
- Shanghai Public Health Clinical Center, Key Laboratory of Medical Molecular Virology of MOE/MOH, Fudan University, Shanghai, China
- TB Center, Shanghai Emerging and Re-emerging Institute, Shanghai, China
| | - Wei Sha
- Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Xiao-Yong Fan
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, China
- TB Center, Shanghai Emerging and Re-emerging Institute, Shanghai, China
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Cheng C, Wang B, Gao L, Liu J, Chen X, Huang H, Zhao Z. Next generation sequencing reveals changes of the γδ T cell receptor repertoires in patients with pulmonary tuberculosis. Sci Rep 2018; 8:3956. [PMID: 29500378 PMCID: PMC5834497 DOI: 10.1038/s41598-018-22061-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 02/14/2018] [Indexed: 12/25/2022] Open
Abstract
Tuberculosis (TB) is a severe global threat to human health. The immune protection initiated by γδ T cells play an important role in mycobacterial infection. Vaccines for Mycobacterium tuberculosis (Mtb) based on γδ T cells provide a novel approach for TB control. In our previous studies, we found a preponderant complementarity-determining region 3 (CDR3) sequence of the γδ T cell receptor (TCR) in TB patients, and successfully identified a tuberculosis antigen that can effectively activate γδ T cells with a reverse genetic strategy. However, due to the throughput limitation of the method we used, the information we obtained about the γδ TCR repertoire and preponderant CDR3 sequences was limited. In this study, we introduced next generation sequencing (NGS) to study the γδ TCR CDR3 repertoires in TB patients. We found that the CDR3δ tended to be more polyclonal and CDR3γ tended to be longer in TB patients; the γδ T cells expressing CDR3 sequences using a Vγ9-JγP rearrangement expanded significantly during Mtb infection. We also identified new preponderant CDR3 sequences during Mtb infection. This study comprehensively characterized the γδ T cell receptor repertoire changes, and provides useful information for the development of new vaccines and adjuvants against TB.
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Affiliation(s)
- Chaofei Cheng
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Bei Wang
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.,Clinical Immunology Center, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Lei Gao
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Jianmin Liu
- The Sixth People's Hospital of Zhengzhou, Zhengzhou, 450015, China
| | - Xinchun Chen
- Department of Pathogen Biology, School of Medicine, Shenzhen University, Shenzhen, 518002, China.
| | - He Huang
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China. .,Clinical Immunology Center, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
| | - Zhendong Zhao
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China. .,Clinical Immunology Center, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China. .,CAMS-Oxford University International Center for Translational Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
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Yang J, Yan D, Guo R, Chen J, Li Y, Fan J, Fu X, Yao X, Diao H, Li L. Predictive value of serum ALT and T-cell receptor beta variable chain for HBeAg seroconversion in chronic hepatitis B patients during tenofovir treatment. Medicine (Baltimore) 2017; 96:e6242. [PMID: 28272219 PMCID: PMC5348167 DOI: 10.1097/md.0000000000006242] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Effective antiviral therapy plays a key role in slowing the progression of chronic hepatitis B (CHB). Identification of serum indices, including hepatitis B e antigen (HBeAg) expression and seroconversion, will facilitate evaluation of the efficacy of antiviral therapy in HBeAg-positive CHB patients. The biochemical, serological, virological parameters, and the frequency of circulating CD4CD25 regulatory T cell (Treg) in 32 patients were measured at baseline and every 12 weeks during 96 weeks of tenofovir disoproxil fumarate (TDF) treatment. The relationship between the hepatitis B virus (HBV) deoxyribonucleic acid (DNA) and Treg and alanine aminotransferase (ALT) levels was analyzed, respectively. The molecular profiles of T-cell receptor beta variable chain (TRBV) were determined using gene melting spectral pattern. For the seroconverted 12 patients, ALT declined to normal levels by week 24 and remained at this level in subsequent treatment; moreover, the predictive cutoff value of ALT for HBeAg seroconversion (SC) was 41.5 U/L at week 24. The positive correlation between HBV DNA and Treg and ALT was significant in SC patients, but not in non-SC patients. Six TRBV families (BV3, BV11, BV12, BV14, BV20, and BV24) were predominantly expressed in SC patients at baseline. The decline of ALT could be used to predict HBeAg seroconversion for CHB patients during TDF treatment. In addition, the profile of Tregs and TRBVs may be associated with HBeAg seroconversion and could also be a potential indicator for predicting HBeAg SC and treatment outcome for CHB patients.
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Affiliation(s)
- Jiezuan Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
| | - Dong Yan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
| | - Renyong Guo
- Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
| | - Jiajia Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
| | - Yongtao Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
| | - Jun Fan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
| | - Xuyan Fu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
| | - Xinsheng Yao
- Department of immunology, Zunyi Medical Univesity, Zunyi, China
| | - Hongyan Diao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
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Improving T-cell assays for diagnosis of latent TB infection: Confirmation of the potential role of testing Interleukin-2 release in Iranian patients. Allergol Immunopathol (Madr) 2016; 44:314-21. [PMID: 26786720 DOI: 10.1016/j.aller.2015.09.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Revised: 08/20/2015] [Accepted: 09/30/2015] [Indexed: 11/21/2022]
Abstract
BACKGROUND Since gamma interferon release assays (IGRAs) cannot differentiate between active tuberculosis and latent tuberculosis infection (LTBI), development of rapid and specific diagnosis tools are essential for discriminating between active tuberculosis (TB) from LTBI. Both IGRAs are based on Mycobacterium tuberculosis-specific antigens, namely, early secretory antigenic target 6 (ESAT-6) and 10kDa culture filtrate (CFP-10). The aim of this study was to evaluate the potential value of IL-2 secretion by whole blood cells after stimulation with rESAT-6 and rCFP-10 for discriminating between active and latent tuberculosis. METHODS Interleukin-2 and IFN-γ were measured after blood stimulation of 90 cases (30 with active TB, 30 with LTBI and 30 healthy controls) with recombinant ESAT-6 and CFP-10. Receiver operating characteristic (ROC) curve analysis was conducted to determine the best IL-2 and IFN-γ result thresholds in discriminating between cases with active or latent TB, and the corresponding sensitivity and specificity were recorded. RESULTS The IFN-γ release assay demonstrated a good sensitivity and specificity (sensitivity 83-84% and specificity 92%) for diagnosis of tuberculosis. The discrimination performance of IL-2 assay (assessed by the area under ROC curve) between LTBI and patients with active TB were 0.75 and 0.8 following stimulation with rESAT-6 and rCFP-10, respectively. Maximum discrimination was reached at a cut-off of 11.6pg/mL for IL-2 after stimulation with recombinant rESAT-6 with 72% sensitivity and 79% specificity and 10.7pg/mL for IL-2 following stimulation with rCFP-10 with 75% sensitivity and 79% specificity, respectively. CONCLUSION This study demonstrates that rESAT-6 and rCFP-10 can provide a sensitive and specific diagnosis of TB. In addition, it was shown that IL-2 may be serving as a marker for discriminating LTBI and active TB.
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Yang J, Sheng G, Xiao D, Shi H, Wu W, Lu H, Cao H, Li L. The frequency and skewed T-cell receptor beta-chain variable patterns of peripheral CD4(+)CD25(+) regulatory T-cells are associated with hepatitis B e antigen seroconversion of chronic hepatitis B patients during antiviral treatment. Cell Mol Immunol 2016; 13:678-87. [PMID: 26899927 DOI: 10.1038/cmi.2015.100] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Revised: 11/07/2015] [Accepted: 11/08/2015] [Indexed: 02/08/2023] Open
Abstract
The frequency and T-cell receptor beta-chain variable (TCRBV) patterns of peripheral CD4(+)CD25(+) regulatory T-cells (Tregs) are ambiguously altered in chronic hepatitis B (CHB) patients following tenofovir disoproxil fumarate (TDF) treatment. Moreover, the clinical significance of these parameters in relation to hepatitis B e antigen (HBeAg) seroconversion (SC) is largely unknown. In this study, the circulation of Tregs in HBeAg-positive CHB patients was determined by flow cytometry, and the molecular profiles of frequent TCRBV patterns of Tregs were analyzed using a gene melting spectral pattern. The parameters, such as Treg frequency, the number of skewed TCRBV patterns, hepatitis B virus (HBV) DNA levels, and alanine aminotransferase (ALT) levels, were analyzed by comparing their associations in seroconverting and non-seroconverting patients following TDF treatment. The Treg frequency was significantly correlated with the ALT level in seroconverting but not in non-seroconverting patients. Similarly, skewed TCRBV patterns were remarkably associated with HBV DNA levels in the SC group. Six TCRBV families (BV3, BV11, BV12, BV14, BV20, and BV24) were more prevalent than other TCRBV members in seroconverting patients pretreated with TDF, while BV12, BV15, and BV22 were predominant in non-seroconverting patients during TDF treatment. Taken together, the preferential TCRBV patterns may be associated with immune responses related to SC. The dynamic frequency and skewed TCRBV patterns of peripheral Tregs could contribute to predicting SC in CHB patients. Moreover, the conserved TCRBV complementarity-determining region (CDR3) motif may be targeted to develop personalized immunotherapy for CHB patients.
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Nunes-Alves C, Booty MG, Carpenter SM, Rothchild AC, Martin CJ, Desjardins D, Steblenko K, Kløverpris HN, Madansein R, Ramsuran D, Leslie A, Correia-Neves M, Behar SM. Human and Murine Clonal CD8+ T Cell Expansions Arise during Tuberculosis Because of TCR Selection. PLoS Pathog 2015; 11:e1004849. [PMID: 25945999 PMCID: PMC4422591 DOI: 10.1371/journal.ppat.1004849] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2015] [Accepted: 04/01/2015] [Indexed: 12/17/2022] Open
Abstract
The immune system can recognize virtually any antigen, yet T cell responses against several pathogens, including Mycobacterium tuberculosis, are restricted to a limited number of immunodominant epitopes. The host factors that affect immunodominance are incompletely understood. Whether immunodominant epitopes elicit protective CD8+ T cell responses or instead act as decoys to subvert immunity and allow pathogens to establish chronic infection is unknown. Here we show that anatomically distinct human granulomas contain clonally expanded CD8+ T cells with overlapping T cell receptor (TCR) repertoires. Similarly, the murine CD8+ T cell response against M. tuberculosis is dominated by TB10.44-11-specific T cells with extreme TCRβ bias. Using a retrogenic model of TB10.44-11-specific CD8+ T cells, we show that TCR dominance can arise because of competition between clonotypes driven by differences in affinity. Finally, we demonstrate that TB10.4-specific CD8+ T cells mediate protection against tuberculosis, which requires interferon-γ production and TAP1-dependent antigen presentation in vivo. Our study of how immunodominance, biased TCR repertoires, and protection are inter-related, provides a new way to measure the quality of T cell immunity, which if applied to vaccine evaluation, could enhance our understanding of how to elicit protective T cell immunity. While T cells are required for protection against Mycobacterium tuberculosis infection, attempts to prevent tuberculosis by vaccines designed to elicit memory T cells have only been partially successful. Several vaccine candidates are in clinical trials, but progress has been slow because their ability to prevent disease must be empirically tested. There is little understanding of why certain antigens are targets of protective immunity. We have characterized an immunodominant CD8+ T cell response to the M. tuberculosis antigen TB10.4 (EsxH). CD8+ T cells specific for the TB10.44–11 epitope are primed early during infection and account for 30–50% of lung CD8+ T cells during chronic infection. Now we have used deep sequencing to characterize the TCR repertoire of TB10.44-11-specific CD8+ T cells in the lungs of infected mice. Interestingly, TB10.44-11-specific CD8+ T cells exhibit extreme clonal expansion of certain TCRβ with common structural features, most likely because of affinity selection. Affinity selection of T cells is more important when antigen presentation is limiting. Although the lung contains numerous bacteria during infection, antigen-presentation by infected APC may be limiting, mimicking a “low antigen” state. Thus, even T cells that have the potential to mediate protection may function inefficiently because of suboptimal T cell activation.
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Affiliation(s)
- Cláudio Nunes-Alves
- Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal
- ICVS/3B’s—PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Matthew G. Booty
- Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
- Program in Immunology, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Stephen M. Carpenter
- Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
- Division of Infectious Disease, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Division of Infectious Disease, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Alissa C. Rothchild
- Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
- Program in Immunology, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Constance J. Martin
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Danielle Desjardins
- Division of Infectious Disease, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Katherine Steblenko
- Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Henrik N. Kløverpris
- KwaZulu-Natal Research Institute for TB and HIV, Durban, South Africa
- Nelson Mandela School of Medicine, University of Kwa-Zulu-Natal, Durban, South Africa
- Department of International Health, Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Rajhmun Madansein
- Nelson Mandela School of Medicine, University of Kwa-Zulu-Natal, Durban, South Africa
| | - Duran Ramsuran
- KwaZulu-Natal Research Institute for TB and HIV, Durban, South Africa
| | - Alasdair Leslie
- KwaZulu-Natal Research Institute for TB and HIV, Durban, South Africa
- Nelson Mandela School of Medicine, University of Kwa-Zulu-Natal, Durban, South Africa
| | - Margarida Correia-Neves
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal
- ICVS/3B’s—PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Samuel M. Behar
- Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
- * E-mail:
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10
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Profiling the repertoire of T-cell receptor beta-chain variable genes in peripheral blood lymphocytes from subjects who have recovered from acute hepatitis B virus infection. Cell Mol Immunol 2015; 11:332-42. [PMID: 25126662 DOI: 10.1038/cmi.2014.22] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
The profile of T-cell receptor beta-chain variable (TRBV) genes usually skews in subjects with virus infection or cancer. The gene melting spectral pattern (GMSP) can be used to determine the profile of the TRBV gene family. To explore the portrait of the TRBV family in peripheral blood lymphocytes from subjects who have recovered from acute hepatitis B virus infection (AHI), peripheral blood mononuclear cells (PBMCs) were separated and further sorted into CD4+ and CD8+ T-cell subsets. The molecular features of the TRBV complementary determining region 3 (CDR3) motifs were determined using GMSP analysis. When aGMSP profile showed a single peak, the monoclonally expanded TRBV gene was cloned and sequenced. Skewed expansions of multiple TRBV genes were observed among the CD4+ and CD8+ T-cell subsets and the PBMCs. The frequency of monoclonally expanded TRBV genes in the CD8+ T-cell subset was significantly higher than that of the CD4+ T-cell subset and the PBMCs. Compared to other members of the TRBV gene family, TRBV11, BV15 and BV20 were predominantly expressed in the repertoire of peripheral blood lymphocytes in recovered AHI subjects. The relatively conserved amino acid motifs of TRBV5.1 and BV20 CDR3 were also detected in the CD4+ and CD8+ T-cell subsets. These results demonstrate the presence of multiple biased TRBV families in recovered AHI subjects. TRBV11, BV15 and BV20, especially from the CD8+ T-cell subset, may be relevant to the pathogenesis of subjects with AHI. The preferentially selected TRBV5.1 and BV20 with the relatively conserved CDR3 motif may be potential targets for personalized treatments of chronic HBV infection.
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11
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Yang J, Lu H, Guo R, Yan D, Ye P, Jin L, Chen C, Cao H, Diao H, Li L. Molecular profile of the T cell receptor beta variable in peripheral blood lymphocytes from chronic asymptomatic HBV carriers. Pathog Dis 2014; 73:1-9. [PMID: 25722488 DOI: 10.1093/femspd/ftu018] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Affiliation(s)
- Jiezuan Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310003, China
| | - Haifeng Lu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310003, China
| | - Renyong Guo
- Department of Laboratory Medicine, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Dong Yan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310003, China
| | - Ping Ye
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310003, China
| | - Linfeng Jin
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310003, China
| | - Chunlei Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310003, China
| | - Hongcui Cao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310003, China
| | - Hongyan Diao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310003, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310003, China
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12
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Orchestration of pulmonary T cell immunity during Mycobacterium tuberculosis infection: immunity interruptus. Semin Immunol 2014; 26:559-77. [PMID: 25311810 DOI: 10.1016/j.smim.2014.09.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2014] [Revised: 09/17/2014] [Accepted: 09/19/2014] [Indexed: 12/31/2022]
Abstract
Despite the introduction almost a century ago of Mycobacterium bovis BCG (BCG), an attenuated form of M. bovis that is used as a vaccine against Mycobacterium tuberculosis, tuberculosis remains a global health threat and kills more than 1.5 million people each year. This is mostly because BCG fails to prevent pulmonary disease--the contagious form of tuberculosis. Although there have been significant advances in understanding how the immune system responds to infection, the qualities that define protective immunity against M. tuberculosis remain poorly characterized. The ability to predict who will maintain control over the infection and who will succumb to clinical disease would revolutionize our approach to surveillance, control, and treatment. Here we review the current understanding of pulmonary T cell responses following M. tuberculosis infection. While infection elicits a strong immune response that contains infection, M. tuberculosis evades eradication. Traditionally, its intracellular lifestyle and alteration of macrophage function are viewed as the dominant mechanisms of evasion. Now we appreciate that chronic inflammation leads to T cell dysfunction. While this may arise as the host balances the goals of bacterial sterilization and avoidance of tissue damage, it is becoming clear that T cell dysfunction impairs host resistance. Defining the mechanisms that lead to T cell dysfunction is crucial as memory T cell responses are likely to be subject to the same subject to the same pressures. Thus, success of T cell based vaccines is predicated on memory T cells avoiding exhaustion while at the same time not promoting overt tissue damage.
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13
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A Mycobacterium bovis BCG-naked DNA prime-boost vaccination strategy induced CD4⁺ and CD8⁺ T-cell response against Mycobacterium tuberculosis immunogens. J Immunol Res 2014; 2014:395626. [PMID: 24741595 PMCID: PMC3987877 DOI: 10.1155/2014/395626] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2013] [Revised: 01/02/2014] [Accepted: 02/06/2014] [Indexed: 01/29/2023] Open
Abstract
Mycobacterium tuberculosis infection is still a major global public health problem. Presently the only tuberculosis (TB) vaccine available is Bacille Calmette-Guérin (BCG), although it fails to adequately protect against pulmonary TB in adults. To solve this problem, the development of a new effective vaccine is urgently desired. BCG-prime DNA-booster vaccinations strategy has been shown to induce greater protection against tuberculosis (TB) than BCG alone. Some studies have demonstrated that the two genes (Rv1769 and Rv1772) are excellent T-cell antigens and could induce T-cell immune responses. In this research, we built BCG-C or BCG-P prime-recombination plasmid PcDNA3.1-Rv1769 or PcDNA3.1-Rv1772 boost vaccinations strategy to immunize BALB/c mice and evaluated its immunogenicity. The data suggests that the BCG-C+3.1-72 strategy could elicit the most long-lasting and strongest Th1-type cellular immune responses and the BCG-C+3.1-69 strategy could induce the high level CD8+ T-cell response at certain time points. These findings support the ideas that the prime-boost strategy as a combination of vaccines may be better than a single vaccine for protection against tuberculosis.
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