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Huang L, Liu Z, Lv X, Sun Y. Investigation of shared genetic features and related mechanisms between diabetes and tuberculosis. Int Urol Nephrol 2024; 56:2743-2753. [PMID: 38512440 DOI: 10.1007/s11255-024-04024-6] [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: 01/18/2024] [Accepted: 03/05/2024] [Indexed: 03/23/2024]
Abstract
OBJECTIVE This study aimed to integrate bioinformatics technology to explore shared hub genes and related mechanisms between diabetes and tuberculosis and to provide a theoretical basis for revealing the disease mechanisms in patients with both diabetes and tuberculosis. METHODS Differentially expressed genes and Venn analysis were used to identify shared genes between diabetes and tuberculosis. PPI network analysis was used to screen key hub genes. GO and KEGG analyses were used to analyze the potential biological functions of these key hub genes. Immune infiltration analysis was performed using the ssGSEA algorithm. EnrichR online analysis website was used to explore potential therapeutic drugs. RESULTS The dataset analysis showed that PSMB9, ISG15, RTP4, CXCL10, GBP2, and GBP3 were six hub genes shared by diabetes and tuberculosis, which not only could distinguish between the two disease samples but also had a high diagnostic rate. GO and KEGG analyses showed that these six genes mainly mediate immune-related biological processes such as interferon, interleukin, and chemokine receptor binding, as well as signaling pathways such as RIG-I-like receptor, NOD-like receptor, and proteasome. Immune infiltration analysis showed that high expression of TIL may mediate the development of both diabetes and tuberculosis. In addition, suloctidil HL60 UP, thioridazine HL60 UP, mefloquine HL60 UP, 1-NITROPYRENE CTD 00001569, and chlorophyllin CTD 00000324 were the candidate drugs predicted by this study that were most likely to target hub genes. CONCLUSION Six differentially expressed genes shared by both diseases (PSMB9, ISG15, RTP4, CXCL10, GBP2, and GBP3) may play a key role in the disease progression of patients with both diabetes and tuberculosis. Candidate drugs targeting these hub genes have therapeutic potential and are worthy of further research. In summary, this study reveals potential shared pathogenic mechanisms between tuberculosis and diabetes.
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Affiliation(s)
- Lifei Huang
- Department of Respiratory and Critical Care Medicine, Haining People's Hospital, Haining, 314400, China
| | - Zhihao Liu
- Department of Respiratory and Critical Care Medicine, Haining People's Hospital, Haining, 314400, China
| | - Xiaodong Lv
- Department of Respiratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China
| | - Yahong Sun
- Department of Respiratory and Critical Care Medicine, Haining People's Hospital, Haining, 314400, China.
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2
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Wang X, Tang G, Huang Y, Song H, Zhou S, Mao L, Sun Z, Xiong Z, Wu S, Hou H, Wang F. Using immune clusters for classifying Mycobacterium tuberculosis infection. Int Immunopharmacol 2024; 128:111572. [PMID: 38280332 DOI: 10.1016/j.intimp.2024.111572] [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: 10/12/2023] [Revised: 12/23/2023] [Accepted: 01/18/2024] [Indexed: 01/29/2024]
Abstract
BACKGROUND The differential diagnosis between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) is still a challenge worldwide. METHODS Immune indicators involved in innate, humoral, and cellular immune cells, as well as antigen-specific cells were simultaneously assessed in patients with ATB and LTBI. RESULTS Of 54 immune indicators, no indicator could distinguish ATB from LTBI, likely due to an obvious heterogeneity of immune indicators noticed in ATB patients. Cluster analysis of ATB patients identified three immune clusters with different severity. Cluster 1 (42.1 %) was a ''Treg/Th1/Tfh unbalance type" cluster, whereas cluster 2 (42.1 %) was an "effector type'' cluster, and cluster 3 was a ''inhibition type'' cluster (15.8 %) which showed the highest severity. A prediction model based on immune indicators was established and showed potential in classifying Mycobacterium tuberculosis infection. CONCLUSIONS We depicted the immune landscape of patients with ATB and LTBI. Three immune subtypes were identified in ATB patients with different severity.
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Affiliation(s)
- Xiaochen Wang
- Department of Laboratory Medicine, Tongji Hospital, 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
| | - Yi Huang
- 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
| | - Siyu Zhou
- 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
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhigang Xiong
- 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.
| | - Hongyan Hou
- 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.
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Kotov DI, Lee OV, Fattinger SA, Langner CA, Guillen JV, Peters JM, Moon A, Burd EM, Witt KC, Stetson DB, Jaye DL, Bryson BD, Vance RE. Early cellular mechanisms of type I interferon-driven susceptibility to tuberculosis. Cell 2023; 186:5536-5553.e22. [PMID: 38029747 PMCID: PMC10757650 DOI: 10.1016/j.cell.2023.11.002] [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: 10/18/2022] [Revised: 06/16/2023] [Accepted: 11/01/2023] [Indexed: 12/01/2023]
Abstract
Mycobacterium tuberculosis (Mtb) causes 1.6 million deaths annually. Active tuberculosis correlates with a neutrophil-driven type I interferon (IFN) signature, but the cellular mechanisms underlying tuberculosis pathogenesis remain poorly understood. We found that interstitial macrophages (IMs) and plasmacytoid dendritic cells (pDCs) are dominant producers of type I IFN during Mtb infection in mice and non-human primates, and pDCs localize near human Mtb granulomas. Depletion of pDCs reduces Mtb burdens, implicating pDCs in tuberculosis pathogenesis. During IFN-driven disease, we observe abundant DNA-containing neutrophil extracellular traps (NETs) described to activate pDCs. Cell-type-specific disruption of the type I IFN receptor suggests that IFNs act on IMs to inhibit Mtb control. Single-cell RNA sequencing (scRNA-seq) indicates that type I IFN-responsive cells are defective in their response to IFNγ, a cytokine critical for Mtb control. We propose that pDC-derived type I IFNs act on IMs to permit bacterial replication, driving further neutrophil recruitment and active tuberculosis disease.
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Affiliation(s)
- Dmitri I Kotov
- Division of Immunology and Molecular Medicine, University of California, Berkeley, Berkeley, CA 94720, USA; Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - Ophelia V Lee
- Division of Immunology and Molecular Medicine, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Stefan A Fattinger
- Division of Immunology and Molecular Medicine, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Charlotte A Langner
- Division of Immunology and Molecular Medicine, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Jaresley V Guillen
- Division of Immunology and Molecular Medicine, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Joshua M Peters
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Andres Moon
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA 30322, USA
| | - Eileen M Burd
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA 30322, USA
| | - Kristen C Witt
- Division of Immunology and Molecular Medicine, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Daniel B Stetson
- Department of Immunology, University of Washington, Seattle, WA 98195, USA
| | - David L Jaye
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA 30322, USA
| | - Bryan D Bryson
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Russell E Vance
- Division of Immunology and Molecular Medicine, University of California, Berkeley, Berkeley, CA 94720, USA; Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA.
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Meng C, Liu J, Kang X, Xu Z, Xu S, Li X, Pan Z, Chen X, Jiao X. Discrepancy in Response of Mouse Dendritic Cells against BCG: Weak Immune Effects of Plasmacytoid Dendritic Cells Compared to Classical Dendritic Cells despite the Uptake of Bacilli. Trop Med Infect Dis 2023; 8:tropicalmed8030140. [PMID: 36977141 PMCID: PMC10057906 DOI: 10.3390/tropicalmed8030140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/25/2023] [Accepted: 02/24/2023] [Indexed: 03/03/2023] Open
Abstract
Tuberculosis (TB), a zoonosis characterized by chronic respiratory infections, is mainly caused by Mycobacterium tuberculosis and is associated with one of the heaviest disease burdens in the world. Dendritic cells (DCs) play a key role and act as a bridge between innate and adaptive immune responses against TB. DCs are divided into distinct subsets. Currently, the response of DCs to mycobacterial infections is poorly understood. Herein, we aimed to evaluate the responses of splenic conventional DCs (cDC) and plasmacytoid DCs (pDC), subsets to Bacillus Calmette–Guérin (BCG) infection in mice. Splenic pDC had a significantly higher infection rate and intracellular bacterial count than cDC and the CD8+ and CD8− cDC subsets after BCG infection. However, the expression levels of CD40, CD80, CD86, and MHC-II molecules were significantly upregulated in splenic cDC and the CD8 cDC subsets compared to pDC during BCG infection. Splenic cDC had a higher expression of IFN-γ and IL-12p70 than pDC, whereas pDC had higher levels of TNF-α and MCP-1 than cDC in mice infected with BCG. At early stages of immunization with BCG containing the Ag85A protein, splenic cDC and pDC could present the Ag85A peptide to a specific T hybridoma; however, cDC had a stronger antigen presenting activity than pDC. In summary, splenic cDC and pDC extensively participate in mouse immune responses against BCG infection in vivo. Although pDC had a higher BCG uptake, cDC induced stronger immunological effects, including activation and maturation, cytokine production, and antigen presentation.
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Affiliation(s)
- Chuang Meng
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China
| | - Jun Liu
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou 225009, China
| | - Xilong Kang
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China
| | - Zhengzhong Xu
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China
| | - Shuangyuan Xu
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou 225009, China
| | - Xin Li
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China
| | - Zhiming Pan
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China
| | - Xiang Chen
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China
- Correspondence: (X.C.); (X.J.)
| | - Xinan Jiao
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China
- Correspondence: (X.C.); (X.J.)
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Kim H, Shin SJ. Pathological and protective roles of dendritic cells in Mycobacterium tuberculosis infection: Interaction between host immune responses and pathogen evasion. Front Cell Infect Microbiol 2022; 12:891878. [PMID: 35967869 PMCID: PMC9366614 DOI: 10.3389/fcimb.2022.891878] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 07/08/2022] [Indexed: 11/13/2022] Open
Abstract
Dendritic cells (DCs) are principal defense components that play multifactorial roles in translating innate immune responses to adaptive immunity in Mycobacterium tuberculosis (Mtb) infections. The heterogeneous nature of DC subsets follows their altered functions by interacting with other immune cells, Mtb, and its products, enhancing host defense mechanisms or facilitating pathogen evasion. Thus, a better understanding of the immune responses initiated, promoted, and amplified or inhibited by DCs in Mtb infection is an essential step in developing anti-tuberculosis (TB) control measures, such as host-directed adjunctive therapy and anti-TB vaccines. This review summarizes the recent advances in salient DC subsets, including their phenotypic classification, cytokine profiles, functional alterations according to disease stages and environments, and consequent TB outcomes. A comprehensive overview of the role of DCs from various perspectives enables a deeper understanding of TB pathogenesis and could be useful in developing DC-based vaccines and immunotherapies.
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6
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Sampath P, Natarajan AP, Moideen K, Kathamuthu GR, Hissar S, Dhanapal M, Jayabal L, Ramesh PM, Tripathy SP, Ranganathan UD, Babu S, Bethunaickan R. Differential Frequencies of Intermediate Monocyte Subsets Among Individuals Infected With Drug-Sensitive or Drug-Resistant Mycobacterium tuberculosis. Front Immunol 2022; 13:892701. [PMID: 35911760 PMCID: PMC9336531 DOI: 10.3389/fimmu.2022.892701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 06/21/2022] [Indexed: 11/13/2022] Open
Abstract
The rampant increase in drug-resistant tuberculosis (TB) remains a major challenge not only for treatment management but also for diagnosis, as well as drug design and development. Drug-resistant mycobacteria affect the quality of life owing to the delayed diagnosis and require prolonged treatment with multiple and toxic drugs. The phenotypic modulations defining the immune status of an individual during tuberculosis are well established. The present study aims to explore the phenotypic changes of monocytes & dendritic cells (DC) as well as their subsets across the TB disease spectrum, from latency to drug-sensitive TB (DS-TB) and drug-resistant TB (DR-TB) using traditional immunophenotypic analysis and by uniform manifold approximation and projection (UMAP) analysis. Our results demonstrate changes in frequencies of monocytes (classical, CD14++CD16-, intermediate, CD14++CD16+ and non-classical, CD14+/-CD16++) and dendritic cells (DC) (HLA-DR+CD11c+ myeloid DCs, cross-presenting HLA-DR+CD14-CD141+ myeloid DCs and HLA-DR+CD14-CD16-CD11c-CD123+ plasmacytoid DCs) together with elevated Monocyte to Lymphocyte ratios (MLR)/Neutrophil to Lymphocyte ratios (NLR) and alteration of cytokine levels between DS-TB and DR-TB groups. UMAP analysis revealed significant differential expression of CD14+, CD16+, CD86+ and CD64+ on monocytes and CD123+ on DCs by the DR-TB group. Thus, our study reveals differential monocyte and DC subset frequencies among the various TB disease groups towards modulating the immune responses and will be helpful to understand the pathogenicity driven by Mycobacterium tuberculosis.
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Affiliation(s)
- Pavithra Sampath
- Department of Immunology, National Institute for Research in Tuberculosis (NIRT), Chennai, India
| | | | - Kadar Moideen
- Indian Council of Medical Research-National Institute for Research in Tuberculosis (ICMR-NIRT)-International Center for Excellence in Research, Chennai, India
| | - Gokul Raj Kathamuthu
- Indian Council of Medical Research-National Institute for Research in Tuberculosis (ICMR-NIRT)-International Center for Excellence in Research, Chennai, India
| | - Syed Hissar
- Department of Clinical Research, National Institute for Research in Tuberculosis (NIRT), Chennai, India
| | - Madhavan Dhanapal
- Department of Immunology, National Institute for Research in Tuberculosis (NIRT), Chennai, India
| | | | | | - Srikanth Prasad Tripathy
- Indian Council of Medical Research-National Institute for Research in Tuberculosis (ICMR-NIRT), Chennai, India
| | - Uma Devi Ranganathan
- Department of Immunology, National Institute for Research in Tuberculosis (NIRT), Chennai, India
| | - Subash Babu
- Indian Council of Medical Research-National Institute for Research in Tuberculosis (ICMR-NIRT)-International Center for Excellence in Research, Chennai, India
| | - Ramalingam Bethunaickan
- Department of Immunology, National Institute for Research in Tuberculosis (NIRT), Chennai, India
- *Correspondence: Ramalingam Bethunaickan, ;
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7
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Esaulova E, Das S, Singh DK, Choreño-Parra JA, Swain A, Arthur L, Rangel-Moreno J, Ahmed M, Singh B, Gupta A, Fernández-López LA, de la Luz Garcia-Hernandez M, Bucsan A, Moodley C, Mehra S, García-Latorre E, Zuniga J, Atkinson J, Kaushal D, Artyomov MN, Khader SA. The immune landscape in tuberculosis reveals populations linked to disease and latency. Cell Host Microbe 2021; 29:165-178.e8. [PMID: 33340449 PMCID: PMC7878437 DOI: 10.1016/j.chom.2020.11.013] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 11/09/2020] [Accepted: 11/24/2020] [Indexed: 01/06/2023]
Abstract
Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb) latently infects approximately one-fourth of the world's population. The immune mechanisms that govern progression from latent (LTBI) to active pulmonary TB (PTB) remain poorly defined. Experimentally Mtb-infected non-human primates (NHP) mirror the disease observed in humans and recapitulate both PTB and LTBI. We characterized the lung immune landscape in NHPs with LTBI and PTB using high-throughput technologies. Three defining features of PTB in macaque lungs include the influx of plasmacytoid dendritic cells (pDCs), an Interferon (IFN)-responsive macrophage population, and activated T cell responses. In contrast, a CD27+ Natural killer (NK) cell subset accumulated in the lungs of LTBI macaques. This NK cell population was also detected in the circulation of LTBI individuals. This comprehensive analysis of the lung immune landscape will improve the understanding of TB immunopathogenesis, providing potential targets for therapies and vaccines for TB control.
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Affiliation(s)
- Ekaterina Esaulova
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Shibali Das
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Dhiraj Kumar Singh
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Jose Alberto Choreño-Parra
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas," Mexico City 14080, Mexico; Laboratorio de Inmunoquímica I, Posgrado en Ciencias Quimicobiológicas, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City 07320, Mexico
| | - Amanda Swain
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Laura Arthur
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Javier Rangel-Moreno
- Department of Medicine, Division of Allergy, Immunology and Rheumatology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Mushtaq Ahmed
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Bindu Singh
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Ananya Gupta
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Luis Alejandro Fernández-López
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas," Mexico City 14080, Mexico; Laboratorio de Inmunoquímica I, Posgrado en Ciencias Quimicobiológicas, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City 07320, Mexico
| | - Maria de la Luz Garcia-Hernandez
- Department of Medicine, Division of Allergy, Immunology and Rheumatology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Allison Bucsan
- Tulane National Primate Research Center, Tulane University School of Medicine, Covington 70112, Louisiana
| | - Chivonne Moodley
- Tulane National Primate Research Center, Tulane University School of Medicine, Covington 70112, Louisiana
| | - Smriti Mehra
- Tulane National Primate Research Center, Tulane University School of Medicine, Covington 70112, Louisiana
| | - Ethel García-Latorre
- Laboratorio de Inmunoquímica I, Posgrado en Ciencias Quimicobiológicas, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City 07320, Mexico
| | - Joaquin Zuniga
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas," Mexico City 14080, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City 07320 Mexico
| | - Jeffrey Atkinson
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Deepak Kaushal
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
| | - Maxim N Artyomov
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63110, USA.
| | - Shabaana A Khader
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
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Xie L, Chao X, Teng T, Li Q, Xie J. Identification of Potential Biomarkers and Related Transcription Factors in Peripheral Blood of Tuberculosis Patients. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17196993. [PMID: 32987825 PMCID: PMC7579196 DOI: 10.3390/ijerph17196993] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/13/2020] [Accepted: 09/22/2020] [Indexed: 12/16/2022]
Abstract
Tuberculosis (TB), one major threat to humans, can infect one third of the worldwide population, and cause more than one million deaths each year. This study aimed to identify the effective diagnosis and therapy biomarkers of TB. Hence, we analyzed two microarray datasets (GSE54992 and GSE62525) derived from the Gene Expression Omnibus (GEO) database to find the differentially expressed genes (DEGs) of peripheral blood mononuclear cell (PBMC) between TB patients and healthy specimens. Functional and pathway enrichment of the DEGs were analyzed by Metascape database. Protein-protein interaction (PPI) network among the DEGs were constructed by STRING databases and visualized in Cytoscape software. The related transcription factors regulatory network of the DEGs was also constructed. A total of 190 DEGs including 36 up-regulated genes and 154 down-regulated genes were obtained in TB samples. Gene functional enrichment analysis showed that these DEGs were enriched in T cell activation, chemotaxis, leukocyte activation involved in immune response, cytokine secretion, head development, etc. The top six hub genes (namely, LRRK2, FYN, GART, CCR7, CXCR5, and FASLG) and two significant modules were got from PPI network of DEGs. Vital transcriptional factors, such as FoxC1 and GATA2, were discovered with close interaction with these six hub DEGs. By systemic bioinformatic analysis, many DEGs associated with TB were screened, and these identified hub DEGs may be potential biomarkers for diagnosis and treatment of TB in the future.
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Affiliation(s)
- Longxiang Xie
- Cell Signal Transduction Laboratory, Bioinformatics Center, Department of Pathology, Institute of Biomedical Informatics, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China; (L.X.); (X.C.); (T.T.); (Q.L.)
| | - Xiaoyu Chao
- Cell Signal Transduction Laboratory, Bioinformatics Center, Department of Pathology, Institute of Biomedical Informatics, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China; (L.X.); (X.C.); (T.T.); (Q.L.)
| | - Tieshan Teng
- Cell Signal Transduction Laboratory, Bioinformatics Center, Department of Pathology, Institute of Biomedical Informatics, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China; (L.X.); (X.C.); (T.T.); (Q.L.)
| | - Qiming Li
- Cell Signal Transduction Laboratory, Bioinformatics Center, Department of Pathology, Institute of Biomedical Informatics, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China; (L.X.); (X.C.); (T.T.); (Q.L.)
| | - Jianping Xie
- State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Eco-Environments in Three Gorges Reservoir Region, Institute of Modern Biopharmaceuticals, Ministry of Education, School of Life Sciences, Southwest University, Beibei, Chongqing 400715, China
- Correspondence: ; Tel.: +86-236-836-7108
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Zhang JA, Lu YB, Wang WD, Liu GB, Chen C, Shen L, Luo HL, Xu H, Peng Y, Luo H, Huang GX, Wu DD, Zheng BY, Yi LL, Chen ZW, Xu JF. BTLA-Expressing Dendritic Cells in Patients With Tuberculosis Exhibit Reduced Production of IL-12/IFN-α and Increased Production of IL-4 and TGF-β, Favoring Th2 and Foxp3 + Treg Polarization. Front Immunol 2020; 11:518. [PMID: 32296431 PMCID: PMC7136538 DOI: 10.3389/fimmu.2020.00518] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 03/06/2020] [Indexed: 12/15/2022] Open
Abstract
Little is known about how tuberculosis (TB) impairs dendritic cell (DC) function and anti-TB immune responses. We previously showed that the B and T lymphocyte attenuator (BTLA), an immune inhibitory receptor, is involved in TB pathogenesis. Here, we examined whether BTLA expression in TB affects phenotypic and functional aspects of DCs. Active TB patients exhibited higher expression of BTLA in myeloid dendritic cells (mDCs) and plasmacytoid DCs (pDCs) subsets compared with healthy controls (HCs). BTLA expression was similarly high in untreated TB, TB relapse, and sputum-bacillus positive TB, but anti-TB therapy reduced TB-driven increases in frequencies of BTLA+ DCs. BTLA+ DCs in active TB showed decreased expression of the DC maturation marker CD83, with an increased expression of CCR7 in mDCs. BTLA+ DCs in active TB displayed a decreased ability to express HLA-DR and to uptake foreign antigen, with a reduced expression of the co-stimulatory molecule CD80, but not CD86. Functionally, BTLA+ DCs in active TB showed a decreased production of IL-12 and IFN-α as well as a reduced ability to stimulate allogeneic T-cell proliferative responses. BTLA+ mDCs produced larger amounts of IL-4 and TGF-β than BTLA− mDCs in both HCs and APT patients. BTLA+ DCs from active TB patients showed a reduced ability to stimulate Mtb antigen-driven Th17 and Th22 polarizations as compared to those from HCs. Conversely, these BTLA+ DCs more readily promoted the differentiation of T regulatory cells (Treg) and Th2 than those from HCs. These findings suggest that TB-driven BTLA expression in DCs impairs the expression of functional DC surrogate markers and suppress the ability of DCs to induce anti-TB Th17 and Th22 response while promoting Th2 and Foxp3+ Tregs.
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Affiliation(s)
- Jun-Ai Zhang
- Department of Clinical Immunology, Institute of Laboratory Medicine, Guangdong Medical University, Dongguan, China.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
| | - Yuan-Bin Lu
- Department of Clinical Immunology, Institute of Laboratory Medicine, Guangdong Medical University, Dongguan, China.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
| | - Wan-Dang Wang
- Department of Clinical Immunology, Institute of Laboratory Medicine, Guangdong Medical University, Dongguan, China.,Department of Clinical Medicine Laboratory, Affiliated Xiaolan Hospital, Southern Medical University, Zhongshan, China
| | - Gan-Bin Liu
- Department of Respiration, Dongguan 6th Hospital, Dongguan, China
| | - Chen Chen
- Department of Clinical Immunology, Institute of Laboratory Medicine, Guangdong Medical University, Dongguan, China.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
| | - Ling Shen
- Department of Microbiology and Immunology, Center for Primate Biomedical Research, University of Illinois College of Medicine, Chicago, IL, United States
| | - Hou-Long Luo
- Department of Clinical Immunology, Institute of Laboratory Medicine, Guangdong Medical University, Dongguan, China.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
| | - Huan Xu
- Department of Clinical Immunology, Institute of Laboratory Medicine, Guangdong Medical University, Dongguan, China.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
| | - Ying Peng
- Department of Clinical Immunology, Institute of Laboratory Medicine, Guangdong Medical University, Dongguan, China.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
| | - Hong Luo
- Department of Clinical Immunology, Institute of Laboratory Medicine, Guangdong Medical University, Dongguan, China.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
| | - Gui-Xian Huang
- Department of Clinical Immunology, Institute of Laboratory Medicine, Guangdong Medical University, Dongguan, China.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
| | - Du-Du Wu
- School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Bi-Ying Zheng
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
| | - Lai-Long Yi
- Department of Respiration, Dongguan 6th Hospital, Dongguan, China
| | - Zheng W Chen
- Department of Microbiology and Immunology, Center for Primate Biomedical Research, University of Illinois College of Medicine, Chicago, IL, United States
| | - Jun-Fa Xu
- Department of Clinical Immunology, Institute of Laboratory Medicine, Guangdong Medical University, Dongguan, China.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
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Type 1 interferon-inducible gene expression in QuantiFERON Gold TB-positive uveitis: A tool to stratify a high versus low risk of active tuberculosis? PLoS One 2018; 13:e0206073. [PMID: 30336493 PMCID: PMC6193765 DOI: 10.1371/journal.pone.0206073] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 10/06/2018] [Indexed: 01/10/2023] Open
Abstract
QuantiFERON-Gold TB (QFT)-positive patients with undetermined cause of uveitis are problematic in terms of whether to diagnose and treat them for tuberculosis (TB). Here, we investigated whether peripheral blood expression of type 1 interferon (IFN)-inducible genes may be of use to stratify QFT-positive patients with uveitis into groups of high versus low risk of having active TB-associated uveitis. We recruited all new uveitis patients in Cipto Mangunkusumo Hospital, Jakarta, Indonesia for one year. We included 12 patients with uveitis and clinically diagnosed active pulmonary TB, 58 QFT-positive patients with uveitis of unknown cause, 10 newly diagnosed sputum-positive active pulmonary TB patients without uveitis and 23 QFT-negative healthy controls. Expression of 35 type 1 IFN-inducible genes was measured in peripheral blood cells from active pulmonary TB patients without uveitis and healthy controls. Differentially expressed genes were identified and used for further clustering analyses of the uveitis groups. A type-1 IFN gene signature score was calculated and the optimal cut-off value for this score to differentiate active pulmonary TB from healthy controls was determined and applied to QFT-positive patients with uveitis of unknown cause. Ten type 1 IFN-inducible genes were differentially expressed between active pulmonary TB and healthy controls. Expression of these 10 genes in QFT-positive patients with uveitis of unknown cause revealed three groups: 1); patients resembling active pulmonary TB, 2); patients resembling healthy controls, and 3); patients displaying an in-between gene expression pattern. A type 1 IFN gene signature score ≥5.61 displayed high sensitivity (100%) and specificity (91%) for identification of active TB. Application of this score to QFT-positive patients with uveitis of unknown cause yielded two groups with expected different likelihood (high vs. low) of having active-TB uveitis, and therefore may be useful in clinical management decisions.
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