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Østergaard AA, Feddersen S, Barnkob MB, Lynggaard RB, Karstoft ACA, Borup M, Titlestad IL, Jensen TT, Hilberg O, Wejse C, Bjerrum S, Blaabjerg M, Assing K, Johansen IS. Whole-blood culture-derived cytokine combinations for the diagnosis of tuberculosis. Front Immunol 2024; 15:1397941. [PMID: 38933274 PMCID: PMC11199390 DOI: 10.3389/fimmu.2024.1397941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 05/07/2024] [Indexed: 06/28/2024] Open
Abstract
Introduction The diagnosis of tuberculosis (TB) disease and TB infection (TBI) remains a challenge, and there is a need for non-invasive and blood-based methods to differentiate TB from conditions mimicking TB (CMTB), TBI, and healthy controls (HC). We aimed to determine whether combination of cytokines and established biomarkers could discriminate between 1) TB and CMTB 2) TB and TBI 3) TBI and HC. Methods We used hemoglobin, total white blood cell count, neutrophils, monocytes, C-reactive protein, and ten Meso Scale Discovery analyzed cytokines (interleukin (IL)-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-13, interferon (IFN)-ɣ, and tumor necrosis factor (TNF)-α) in TruCulture whole blood tubes stimulated by lipopolysaccharides (LPS), zymosan (ZYM), anti-CD3/28 (CD3), and unstimulated (Null) to develop three index tests able to differentiate TB from CMTB and TBI, and TBI from HC. Results In 52 persons with CMTB (n=9), TB (n=23), TBI (n=10), and HC (n=10), a combination of cytokines (LPS-IFN-ɣ, ZYM-IFN-ɣ, ZYM-TNF-α, ZYM-IL-1β, LPS-IL-4, and ZYM-IL-6) and neutrophil count could differentiate TB from CMTB with a sensitivity of 52.2% (95% CI: 30.9%-73.4%) and a specificity of 100 % (66.4%-100%). Null- IFN-ɣ, Null-IL-8, CD3-IL-6, CD3-IL-8, CD3-IL-13, and ZYM IL-1b discriminated TB from TBI with a sensitivity of 73.9% (56.5% - 91.3%) and a specificity of 100% (69.2-100). Cytokines and established biomarkers failed to differentiate TBI from HC with ≥ 98% specificity. Discussion Selected cytokines may serve as blood-based add-on tests to detect TB in a low-endemic setting, although these results need to be validated.
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Affiliation(s)
- Anne Ahrens Østergaard
- Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Infectious Diseases, Odense University Hospital, Odense, Denmark
| | - Søren Feddersen
- Department of Clinical Biochemistry, Odense University Hospital, Odense, Denmark
- Clinical Biochemistry, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Mike B. Barnkob
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | | | - Amanda Cecilie Annie Karstoft
- Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Maria Borup
- Department of Respiratory Medicine, Odense University Hospital, Odense, Denmark
| | - Ingrid Louise Titlestad
- Department of Respiratory Medicine, Odense University Hospital, Odense, Denmark
- Odense Respiratory Research Unit (ODIN), Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | | | - Ole Hilberg
- Department of Medicine, Vejle Hospital, Hospital Lillebælt, Vejle, Denmark
| | - Christian Wejse
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
- Center for Global Health (GloHAU), Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Stephanie Bjerrum
- Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Infectious Diseases, University Hospital of Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Morten Blaabjerg
- Research Unit of Neurology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Neurology, Odense University Hospital, Odense, Denmark
| | - Kristian Assing
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
- Research Unit of Clinical Immunology, Department of Clinical Research, Odense, Denmark
| | - Isik Somuncu Johansen
- Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Infectious Diseases, Odense University Hospital, Odense, Denmark
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Yasuda I, Saludar NRD, Sayo AR, Suzuki S, Yokoyama A, Ozeki Y, Kobayashi H, Nishiyama A, Matsumoto S, Cox SE, Tanaka T, Yamashita Y. Evaluation of cytokine profiles related to Mycobacterium tuberculosis latent antigens using a whole-blood assay in the Philippines. Front Immunol 2024; 15:1330796. [PMID: 38665909 PMCID: PMC11044679 DOI: 10.3389/fimmu.2024.1330796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
Introduction There is no useful method to discriminate between latent tuberculosis infection (LTBI) and active pulmonary tuberculosis (PTB). This study aimed to investigate the potential of cytokine profiles to discriminate between LTBI and active PTB using whole-blood stimulation with Mycobacterium tuberculosis (MTB) antigens, including latency-associated antigens. Materials and methods Patients with active PTB, household contacts of active PTB patients and community exposure subjects were recruited in Manila, the Philippines. Peripheral blood was collected from the participants and used for whole-blood stimulation (WBS) with either the early secretory antigenic target and the 10-kDa culture filtrate protein (ESAT-6/CFP-10), Rv3879c or latency-associated MTB antigens, including mycobacterial DNA-binding protein 1 (MDP-1), α-crystallin (Acr) and heparin-binding hemagglutinin (HBHA). Multiple cytokine concentrations were analyzed using the Bio-Plex™ multiplex cytokine assay. Results A total of 78 participants consisting of 15 active PTB patients, 48 household contacts and 15 community exposure subjects were eligible. The MDP-1-specific IFN-γ level in the active PTB group was significantly lower than that in the household contact group (p < 0.001) and the community exposure group (p < 0.001). The Acr-specific TNF-α and IL-10 levels in the active PTB group were significantly higher than those in the household contact (TNF-α; p = 0.001, IL-10; p = 0.001) and community exposure (TNF-α; p < 0.001, IL-10; p = 0.01) groups. However, there was no significant difference in the ESAT-6/CFP-10-specific IFN-γ levels among the groups. Conclusion The patterns of cytokine profiles induced by latency-associated MTB antigens using WBS have the potential to discriminate between LTBI and active PTB. In particular, combinations of IFN-γ and MDP-1, TNF-α and Acr, and IL-10 and Acr are promising. This study provides the first demonstration of the utility of MDP-1-specific cytokine responses in WBS.
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Affiliation(s)
- Ikkoh Yasuda
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
- Department of General Internal Medicine and Clinical Infectious Diseases, Fukushima Medical University, Fukushima, Japan
- Department of General Internal Medicine and Infectious Diseases, Kita-Fukushima Medical Center, Fukushima, Japan
| | | | | | - Shuichi Suzuki
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Akira Yokoyama
- Department of Bacteriology, Niigata University Graduate School of Medicine, Niigata, Japan
- Department of Respiratory Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Yuriko Ozeki
- Department of Bacteriology, Niigata University Graduate School of Medicine, Niigata, Japan
| | - Haruka Kobayashi
- Department of Bacteriology, Niigata University Graduate School of Medicine, Niigata, Japan
| | - Akihito Nishiyama
- Department of Bacteriology, Niigata University Graduate School of Medicine, Niigata, Japan
| | - Sohkichi Matsumoto
- Department of Bacteriology, Niigata University Graduate School of Medicine, Niigata, Japan
- Department of Medical Microbiology, Universitas Airlangga, Faculty of Medicine, Surabaya, Indonesia
- Division of Research Aids, Hokkaido University Institute for Vaccine Research & Development, Sapporo, Japan
| | - Sharon E. Cox
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Takeshi Tanaka
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
- Department of Infectious Diseases, Nagasaki University Hospital, Nagasaki, Japan
- Infection Control and Education Center, Nagasaki University Hospital, Nagasaki, Japan
| | - Yoshiro Yamashita
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
- Department of Respiratory Medicine, Shunkaikai Inoue Hospital, Nagasaki, Japan
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Zhang L, Yang Z, Wu F, Ge Q, Zhang Y, Li D, Gao M, Liu X. Multiple cytokine analysis based on QuantiFERON-TB gold plus in different tuberculosis infection status: an exploratory study. BMC Infect Dis 2024; 24:28. [PMID: 38166667 PMCID: PMC10762904 DOI: 10.1186/s12879-023-08943-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND More efficient and convenient diagnostic method is a desperate need to reduce the burden of tuberculosis (TB). This study explores the multiple cytokines secretion based on QuantiFERON-TB Gold Plus (QFT-Plus), and screens for optimal cytokines with diagnostic potential to differentiate TB infection status. METHODS Twenty active tuberculosis (ATB) patients, fifteen patients with latent TB infection (LTBI), ten patients with previous TB and ten healthy controls (HC) were enrolled. Whole blood samples were collected and stimulated by QFT-Plus TB1 and TB2 antigens. The levels of IFN-γ, TNF-α, IL-2, IL-6, IL-5, IL-10, IP-10, IL-1Ra, CXCL-1 and MCP-1 in supernatant were measured by Luminex bead-based multiplex assays. The receiver operating characteristic curve was used to evaluate the diagnostic accuracy of cytokine for distinguishing different TB infection status. RESULTS After stimulation with QFT-Plus TB1 and TB2 antigens, the levels of all cytokines, except IL-5 in TB2 tube, in ATB group were significantly higher than that in HC group. The levels of IL-1Ra concurrently showed the equally highest AUC for distinguishing TB infection from HC, followed by the levels of IP-10 in both TB1 tube and TB2 tube. Moreover, IP-10 levels displayed the largest AUC for distinguishing ATB patients from non-ATB patients. Meanwhile, the levels of IP-10 also demonstrated the largest AUC in both TB1 tube and TB2 tube for distinguishing ATB patients from LTBI. CONCLUSIONS In addition to conventional detection of IFN-γ, measuring IP-10 and IL-1Ra based on QFT-Plus may have the more tremendous potential to discriminate different TB infection status.
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Affiliation(s)
- Lifan Zhang
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Clinical Epidemiology Unit, Peking Union Medical College, International Clinical Epidemiology Network, Beijing, China
- Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhengrong Yang
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fengying Wu
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qiping Ge
- Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yueqiu Zhang
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongyu Li
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- 4+4 Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Mengqiu Gao
- Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Xiaoqing Liu
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Clinical Epidemiology Unit, Peking Union Medical College, International Clinical Epidemiology Network, Beijing, China.
- Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Selvavinayagam ST, Aswathy B, Yong YK, Frederick A, Murali L, Kalaivani V, Karishma SJ, Rajeshkumar M, Anusree A, Kannan M, Gopalan N, Vignesh R, Murugesan A, Tan HY, Zhang Y, Chandramathi S, Sivasankaran MP, Balakrishnan P, Govindaraj S, Byrareddy SN, Velu V, Larsson M, Shankar EM, Raju S. Plasma CXCL8 and MCP-1 as surrogate plasma biomarkers of latent tuberculosis infection among household contacts-A cross-sectional study. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0002327. [PMID: 37992019 PMCID: PMC10664947 DOI: 10.1371/journal.pgph.0002327] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 10/31/2023] [Indexed: 11/24/2023]
Abstract
Early detection of latent tuberculosis infection (LTBI) is critical to TB elimination in the current WHO vision of End Tuberculosis Strategy. The study investigates whether detecting plasma cytokines could aid in diagnosing LTBI across household contacts (HHCs) positive for IGRA, HHCs negative for IGRA, and healthy controls. The plasma cytokines were measured using a commercial Bio-Plex Pro Human Cytokine 17-plex assay. Increased plasma CXCL8 and decreased MCP-1, TNF-α, and IFN-γ were associated with LTBI. Regression analysis showed that a combination of CXCL8 and MCP-1 increased the risk of LTBI among HHCs to 14-fold. Our study suggests that CXCL-8 and MCP-1 could serve as the surrogate biomarkers of LTBI, particularly in resource-limited settings. Further laboratory investigations are warranted before extrapolating CXCL8 and MCP-1 for their usefulness as surrogate biomarkers of LTBI in resource-limited settings.
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Affiliation(s)
- Sivaprakasam T. Selvavinayagam
- State Public Health Laboratory, Directorate of Public Health and Preventive Medicine, DMS Campus, Teynampet, Chennai, Tamil Nadu, India
| | - Bijulal Aswathy
- Department of Biotechnology, Infection and Inflammation, Central University of Tamil Nadu, Thiruvarur, India
| | - Yean K. Yong
- Laboratory Centre, Xiamen University Malaysia, Sepang, Selangor, Malaysia
| | - Asha Frederick
- National Tuberculosis Elimination Programme, Chennai, Tamil Nadu, India
| | - Lakshmi Murali
- National Tuberculosis Elimination Programme, Chennai, Tamil Nadu, India
| | - Vasudevan Kalaivani
- State Public Health Laboratory, Directorate of Public Health and Preventive Medicine, DMS Campus, Teynampet, Chennai, Tamil Nadu, India
| | - Sree J. Karishma
- Department of Biotechnology, Infection and Inflammation, Central University of Tamil Nadu, Thiruvarur, India
| | - Manivannan Rajeshkumar
- State Public Health Laboratory, Directorate of Public Health and Preventive Medicine, DMS Campus, Teynampet, Chennai, Tamil Nadu, India
| | - Adukkadukkam Anusree
- Department of Life Sciences, Blood and Vascular Biology, Central University of Tamil Nadu, Thiruvarur, India
| | - Meganathan Kannan
- Department of Life Sciences, Blood and Vascular Biology, Central University of Tamil Nadu, Thiruvarur, India
| | - Natarajan Gopalan
- Department of Epidemiology and Public Health, Central University of Tamil Nadu, Thiruvarur, India
| | - Ramachandran Vignesh
- Pre-clinical Department, Royal College of Medicine, Universiti Kuala Lumpur, Ipoh, Malaysia
| | - Amudhan Murugesan
- Department of Microbiology, The Government Theni Medical College and Hospital, Theni, India
| | - Hong Yien Tan
- Laboratory Centre, Xiamen University Malaysia, Sepang, Selangor, Malaysia
| | - Ying Zhang
- Laboratory Centre, Xiamen University Malaysia, Sepang, Selangor, Malaysia
| | - Samudi Chandramathi
- Department of Medical Microbiology, University of Malaya, Kuala Lumpur, Malaysia
| | | | - Pachamuthu Balakrishnan
- Department of Microbiology, Saveetha Institute of Medical and Technical Sciences (SIMATS), Centre for Infectious Diseases, Velappanchavadi, Chennai, India
| | - Sakthivel Govindaraj
- Department of Pathology and Laboratory Medicine, Division of Microbiology and Immunology, Emory University School of Medicine, Emory National Primate Research Center, Emory Vaccine Center, Atlanta, GA, United States of America
| | - Siddappa N. Byrareddy
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, Nebraska, United States of America
| | - Vijayakumar Velu
- Department of Pathology and Laboratory Medicine, Division of Microbiology and Immunology, Emory University School of Medicine, Emory National Primate Research Center, Emory Vaccine Center, Atlanta, GA, United States of America
| | - Marie Larsson
- Department of Biomedicine and Clinical Sciences, Linkoping University, Linköping, Sweden
| | - Esaki M. Shankar
- Department of Biotechnology, Infection and Inflammation, Central University of Tamil Nadu, Thiruvarur, India
| | - Sivadoss Raju
- State Public Health Laboratory, Directorate of Public Health and Preventive Medicine, DMS Campus, Teynampet, Chennai, Tamil Nadu, India
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Selvavinayagam ST, Aswathy B, Yong YK, Frederick A, Murali L, Kalaivani V, Jith KS, Rajeshkumar M, Anusree A, Kannan M, Gopalan N, Vignesh R, Murugesan A, Tan HY, Zhang Y, Chandramathi S, Sivasankaran MP, Govindaraj S, Byrareddy SN, Velu V, Larsson M, Shankar EM, Raju S. Plasma CXCL8 and MCP-1 as biomarkers of latent tuberculosis infection. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.07.23293767. [PMID: 37609153 PMCID: PMC10441491 DOI: 10.1101/2023.08.07.23293767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Background Early detection of latent tuberculosis infection (LTBI) is critical to TB elimination in the current WHO vision of End Tuberculosis Strategy. Methods We investigated whether detecting plasma cytokines could aid in diagnosing LTBI across household contacts (HHCs) positive for IGRA, HHCs negative for IGRA, and healthy controls. We also measured the plasma cytokines using a commercial Bio-Plex Pro Human Cytokine 17-plex assay. Results Increased plasma CXCL8 and decreased MCP-1, TNF-α, and IFN-γ were associated with LTBI. Regression analysis showed that a combination of CXCL8 and MCP-1 increased the risk of LTBI among HHCs to 14-fold. Conclusions We postulated that CXCL8 and MCP-1 could be the surrogate biomarkers of LTBI, especially in resource-limited settings.
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Affiliation(s)
- Sivaprakasam T Selvavinayagam
- State Public Health Laboratory, Directorate of Public Health and Preventive Medicine, DMS Campus, Teynampet 600 018, Chennai, Tamil Nadu, India
| | - Bijulal Aswathy
- Infection and Inflammation, Department of Biotechnology, Central University of Tamil Nadu, Thiruvarur 610 005, India
| | - Yean K Yong
- Laboratory Centre, Xiamen University Malaysia, 43 900 Sepang, Selangor, Malaysia
| | - Asha Frederick
- National Tuberculosis Elimination Programme, Chennai, Tamil Nadu, India
| | - Lakshmi Murali
- National Tuberculosis Elimination Programme, Chennai, Tamil Nadu, India
| | - Vasudevan Kalaivani
- State Public Health Laboratory, Directorate of Public Health and Preventive Medicine, DMS Campus, Teynampet 600 018, Chennai, Tamil Nadu, India
| | - Karishma S Jith
- Infection and Inflammation, Department of Biotechnology, Central University of Tamil Nadu, Thiruvarur 610 005, India
| | - Manivannan Rajeshkumar
- State Public Health Laboratory, Directorate of Public Health and Preventive Medicine, DMS Campus, Teynampet 600 018, Chennai, Tamil Nadu, India
| | - Adukkadukkam Anusree
- Blood and Vascular Biology, Department of Life Sciences, Central University of Tamil Nadu, Thiruvarur 610 005, India
| | - Meganathan Kannan
- Blood and Vascular Biology, Department of Life Sciences, Central University of Tamil Nadu, Thiruvarur 610 005, India
| | - Natarajan Gopalan
- Department of Epidemiology and Public Health, Central University of Tamil Nadu, Thiruvarur 610 005, India
| | - Ramachandran Vignesh
- Pre-clinical Department, Royal College of Medicine, Universiti Kuala Lumpur, Ipoh, Malaysia
| | - Amudhan Murugesan
- Department of Microbiology, The Government Theni Medical College and Hospital, Theni, India
| | - Hong Yien Tan
- Laboratory Centre, Xiamen University Malaysia, 43 900 Sepang, Selangor, Malaysia
| | - Ying Zhang
- Laboratory Centre, Xiamen University Malaysia, 43 900 Sepang, Selangor, Malaysia
| | - Samudi Chandramathi
- Department of Medical Microbiology, University of Malaya, Kuala Lumpur, Malaysia
| | | | - Sakthivel Govindaraj
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Division of Microbiology and Immunology, Emory National Primate Research Center, Emory Vaccine Center, Atlanta, GA, 30329, USA
| | - Siddappa N Byrareddy
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68131, USA
| | - Vijayakumar Velu
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Division of Microbiology and Immunology, Emory National Primate Research Center, Emory Vaccine Center, Atlanta, GA, 30329, USA
| | - Marie Larsson
- Department of Biomedicine and Clinical Sciences, Linkoping University, 58 185 Linköping, Sweden
| | - Esaki M Shankar
- Infection and Inflammation, Department of Biotechnology, Central University of Tamil Nadu, Thiruvarur 610 005, India
| | - Sivadoss Raju
- State Public Health Laboratory, Directorate of Public Health and Preventive Medicine, DMS Campus, Teynampet 600 018, Chennai, Tamil Nadu, India
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Tayal D, Sethi P, Jain P. Point-of-care test for tuberculosis: a boon in diagnosis. Monaldi Arch Chest Dis 2023; 94. [PMID: 37114932 DOI: 10.4081/monaldi.2023.2528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
Rapid diagnosis of tuberculosis (TB) is an effective measure to eradicate this infectious disease worldwide. Traditional methods for screening TB patients do not provide an immediate diagnosis and thus delay treatment. There is an urgent need for the early detection of TB through point-of-care tests (POCTs). Several POCTs are widely available at primary healthcare facilities that assist in TB screening. In addition to the currently used POCTs, advancements in technology have led to the discovery of newer methods that provide accurate and fast information independent of access to laboratory facilities. In the present article, the authors tried to include and describe the potential POCTs for screening TB in patients. Several molecular diagnostic tests, such as nucleic acid amplification tests, including GeneXpert and TB-loop-mediated isothermal amplification, are currently being used as POCTs. Besides these methods, the pathogenic component of Mycobacterium tuberculosis can also be utilized as a biomarker for screening purposes through immunological assays. Similarly, the host immune response to infection has also been utilized as a marker for the diagnosis of TB. These novel biomarkers might include Mtb85, interferon-γ inducible protein-10, volatile organic compounds, acute-phase proteins, etc. Radiological tests have also been observed as POCTs in the TB screening POCT panel. Various POCTs are performed on samples other than sputum, which further eases the screening process. These POCTs should not require large-scale manpower and infrastructure. Hence, POCT should be able to identify patients with M. tuberculosis infection at the primary healthcare level only. There are several other advanced techniques that have been proposed as future POCTs and have been discussed in the present article.
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Affiliation(s)
- Devika Tayal
- Department of Biochemistry, National Institute of Tuberculosis and Respiratory Disease, New Delhi.
| | - Prabhpreet Sethi
- Department of Pulmonary Medicine, National Institute of Tuberculosis and Respiratory Disease, New Delhi.
| | - Prerna Jain
- Department of Biochemistry, National Institute of Tuberculosis and Respiratory Disease, New Delhi.
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Thu VTA, Dat LD, Jayanti RP, Trinh HKT, Hung TM, Cho YS, Long NP, Shin JG. Advancing personalized medicine for tuberculosis through the application of immune profiling. Front Cell Infect Microbiol 2023; 13:1108155. [PMID: 36844400 PMCID: PMC9950414 DOI: 10.3389/fcimb.2023.1108155] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 01/17/2023] [Indexed: 02/12/2023] Open
Abstract
While early and precise diagnosis is the key to eliminating tuberculosis (TB), conventional methods using culture conversion or sputum smear microscopy have failed to meet demand. This is especially true in high-epidemic developing countries and during pandemic-associated social restrictions. Suboptimal biomarkers have restricted the improvement of TB management and eradication strategies. Therefore, the research and development of new affordable and accessible methods are required. Following the emergence of many high-throughput quantification TB studies, immunomics has the advantages of directly targeting responsive immune molecules and significantly simplifying workloads. In particular, immune profiling has been demonstrated to be a versatile tool that potentially unlocks many options for application in TB management. Herein, we review the current approaches for TB control with regard to the potentials and limitations of immunomics. Multiple directions are also proposed to hopefully unleash immunomics' potential in TB research, not least in revealing representative immune biomarkers to correctly diagnose TB. The immune profiles of patients can be valuable covariates for model-informed precision dosing-based treatment monitoring, prediction of outcome, and the optimal dose prediction of anti-TB drugs.
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Affiliation(s)
- Vo Thuy Anh Thu
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Ly Da Dat
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Rannissa Puspita Jayanti
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Hoang Kim Tu Trinh
- Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh, Ho Chi Minh City, Vietnam
| | - Tran Minh Hung
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Yong-Soon Cho
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Phuoc Long
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea,*Correspondence: Jae-Gook Shin, ; Nguyen Phuoc Long,
| | - Jae-Gook Shin
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea,Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Republic of Korea,*Correspondence: Jae-Gook Shin, ; Nguyen Phuoc Long,
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Chin KL, Anibarro L, Sarmiento ME, Acosta A. Challenges and the Way forward in Diagnosis and Treatment of Tuberculosis Infection. Trop Med Infect Dis 2023; 8:tropicalmed8020089. [PMID: 36828505 PMCID: PMC9960903 DOI: 10.3390/tropicalmed8020089] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 02/03/2023] Open
Abstract
Globally, it is estimated that one-quarter of the world's population is latently infected with Mycobacterium tuberculosis (Mtb), also known as latent tuberculosis infection (LTBI). Recently, this condition has been referred to as tuberculosis infection (TBI), considering the dynamic spectrum of the infection, as 5-10% of the latently infected population will develop active TB (ATB). The chances of TBI development increase due to close contact with index TB patients. The emergence of multidrug-resistant TB (MDR-TB) and the risk of development of latent MDR-TB has further complicated the situation. Detection of TBI is challenging as the infected individual does not present symptoms. Currently, there is no gold standard for TBI diagnosis, and the only screening tests are tuberculin skin test (TST) and interferon gamma release assays (IGRAs). However, these tests have several limitations, including the inability to differentiate between ATB and TBI, false-positive results in BCG-vaccinated individuals (only for TST), false-negative results in children, elderly, and immunocompromised patients, and the inability to predict the progression to ATB, among others. Thus, new host markers and Mtb-specific antigens are being tested to develop new diagnostic methods. Besides screening, TBI therapy is a key intervention for TB control. However, the long-course treatment and associated side effects result in non-adherence to the treatment. Additionally, the latent MDR strains are not susceptible to the current TBI treatments, which add an additional challenge. This review discusses the current situation of TBI, as well as the challenges and efforts involved in its control.
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Affiliation(s)
- Kai Ling Chin
- Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia
- Borneo Medical and Health Research Centre, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia
- Correspondence: (K.L.C.); (L.A.); (A.A.)
| | - Luis Anibarro
- Tuberculosis Unit, Infectious Diseases and Internal Medicine Department, Complexo Hospitalario Universitario de Pontevedra, 36071 Pontevedra, Spain
- Immunology Research Group, Galicia Sur Health Research Institute (IIS-GS), 36312 Vigo, Spain
- Correspondence: (K.L.C.); (L.A.); (A.A.)
| | - Maria E. Sarmiento
- School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Malaysia
| | - Armando Acosta
- School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Malaysia
- Correspondence: (K.L.C.); (L.A.); (A.A.)
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Differential expression of host protein biomarkers among symptomatic clinic attendees finally diagnosed with tuberculosis and other respiratory diseases with or without latent Mycobacterium tuberculosis infection. Immunol Lett 2023; 253:8-18. [PMID: 36463987 DOI: 10.1016/j.imlet.2022.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 11/23/2022] [Accepted: 11/29/2022] [Indexed: 12/04/2022]
Abstract
BACKGROUND There is a need for new tools for the diagnosis of tuberculosis (TB) amongst patients who present at primary health care centers with symptoms suggestive of TB. OBJECTIVES To assess the abilities of selected blood-based host biomarkers to discriminate between patients who self-presented with symptoms suggestive of TB and were subsequently diagnosed with pulmonary tuberculosis (PTB), other respiratory diseases (ORD) with latent Mycobacterium tuberculosis infection (ORD_LTBI) or ORD without latent infection (ORD_NoLTBI). METHODS Presumptive TB patients (n = 161) were enrolled at a TB Clinic in Kampala, Uganda, and blood was collected. Participants were later classified as having PTB or ORD using standard microbiological confirmatory tests. Patients with ORD were subsequently classified as having LTBI or no LTBI using the QuantiFERON Gold-plus test. The concentrations of 27 host biomarkers were evaluated in patient sera using the Luminex platform, followed by an evaluation of their abilities to discriminate between PTB, ORD_LTBI, and ORD_NoLTBI. RESULTS Multiple host biomarkers including IP10, IL6, IL2, IL1β, TNFα, IFNγ, and IL12p70, were significantly different between patients with PTB (n = 55), ORDs (n = 106), and between PTB and the two ORD sub-groups. A bio-signature comprising IP10, IL6, TNFα IL1β, IL1ra, and IL12p70 best diagnosed PTB disease, with an area under the ROC curve of 90. CONCLUSION We identified host biomarkers that discriminated between different M.tb infection states amongst patients who presented with symptoms requiring investigation for TB. The biomarkers that showed diagnostic potential in our study may be considered as additional candidate markers for future active PTB rapid screening tests.
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Tungsattayathitthan U, Boonsopon S, Tesavibul N, Dharakul T, Choopong P. Interferon-gamma release assays in tuberculous uveitis: a comprehensive review. Int J Ophthalmol 2022; 15:1520-1528. [PMID: 36124199 DOI: 10.18240/ijo.2022.09.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 07/19/2022] [Indexed: 12/11/2022] Open
Abstract
Tuberculous uveitis (TBU) comprises a broad clinical spectrum of ocular manifestations, making its diagnosis challenging. Ophthalmologists usually require evidence from investigations to confirm or support a clinical diagnosis of TBU. Since direct isolation of the causative organism from ocular specimens has limitations owing to the small volume of the ocular specimens, resultant test positivities are low in yield. Immunodiagnostic tests, including the tuberculin skin test and interferon-gamma release assays (IGRAs), can help support a clinical diagnosis of TBU. Unlike the tuberculin skin test, IGRAs are in vitro tests that require a single visit and are not affected by prior Bacillus Calmette-Guerin vaccination. Currently, available IGRAs consist of different techniques and interpretation methods. Moreover, newer generations have been developed to improve the sensitivity and ability to detect active tuberculosis. This narrative review collates salient practice points as a reference for general ophthalmologists, such as evidence for the utilization of IGRAs in patients with suspected TBU, and summarizes basic knowledge and details of clinical applications of these tests in a clinical setting.
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Affiliation(s)
- Usanee Tungsattayathitthan
- Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Sutasinee Boonsopon
- Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Nattaporn Tesavibul
- Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Tararaj Dharakul
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Pitipol Choopong
- Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
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Gong W, Liang Y, Wang J, Liu Y, Xue Y, Mi J, Li P, Wang X, Wang L, Wu X. Prediction of Th1 and Cytotoxic T Lymphocyte Epitopes of Mycobacterium tuberculosis and Evaluation of Their Potential in the Diagnosis of Tuberculosis in a Mouse Model and in Humans. Microbiol Spectr 2022; 10:e0143822. [PMID: 35938824 PMCID: PMC9430503 DOI: 10.1128/spectrum.01438-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 07/12/2022] [Indexed: 12/03/2022] Open
Abstract
Latent tuberculosis infection (LTBI) is the primary source of tuberculosis (TB) but there is no suitable detection method to distinguish LTBI from active tuberculosis (ATB). In this study, five antigens of Mycobacterium tuberculosis belonging to LTBI and regions of difference (RDs) were selected to predict Th1 and cytotoxic T lymphocyte (CTL) epitopes. The immunodominant Th1 and CTL peptides were identified in mouse models, and their performance in distinguishing LTBI from ATB was determined in mice and humans. Ten Th1 and ten CTL immunodominant peptides were predicted and synthesized in vitro. The enzyme-linked immunosorbent spot assay results showed that the combination of five Th1 peptides (area under the curve [AUC] = 1, P < 0.0001; sensitivity = 100% and specificity = 93.33%), the combination of seven CTL peptides (AUC = 1, P < 0.0001; 100 and 95.24%), and the combination of four peptide pools (AUC = 1, P < 0.0001; sensitivity = 100% and specificity = 91.67%) could significantly discriminate mice with LTBI from mice with ATB or uninfected controls (UCs). The combined peptides or peptide pools induced significantly different cytokine levels between the three groups, improving their ability to differentiate ATB from LTBI. Furthermore, it was found that pool 2 could distinguish patients with ATB from UCs (AUC = 0.6728, P = 0.0041; sensitivity = 72.58% and specificity = 59.46%). The combination of Th1 and CTL immunodominant peptides derived from LTBI-RD antigens might be a promising strategy for diagnosing ATB and LTBI in mice and patients with ATB and uninfected controls. IMPORTANCE Latent tuberculosis infection (LTBI) is a challenging problem in preventing, diagnosing, and treating tuberculosis (TB). The innate and adaptive immune responses are essential for eliminating or killing the mycobacteria. Antigen-presenting cells (APCs) present and display mycobacterium peptides on their surfaces, and recognition between T cells and APCs is based on some essential peptides rather than the full-length protein. Therefore, the selection of candidate antigens and the prediction and screening of potential immunodominant peptides have become a key to designing a new generation of TB diagnostic biomarkers. This study is the first to report that the combination of Th1 and CTL immunodominant peptides derived from LTBI-RD antigens can distinguish LTBI from active TB (ATB) in animals and ATB patients from uninfected individuals. These findings provide a novel insight for discovering potential biomarkers for the differential diagnosis of ATB and LTBI in the future.
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Affiliation(s)
- Wenping Gong
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Yan Liang
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Jie Wang
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Yinping Liu
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Yong Xue
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Jie Mi
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Pengchuan Li
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Xiaoou Wang
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Lan Wang
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Xueqiong Wu
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The Eighth Medical Center of PLA General Hospital, Beijing, China
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Saluzzo F, Denkinger CM, Cirillo DM. Improving interferon-γ release assay interpretation: are IP-10 and MIG the solution? Eur Respir J 2022; 60:60/2/2200697. [PMID: 35948350 DOI: 10.1183/13993003.00697-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/20/2022] [Indexed: 11/05/2022]
Affiliation(s)
- Francesca Saluzzo
- IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Claudia M Denkinger
- Division of Infectious Diseases and Tropical Medicine, Center of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.,German Center for Infection Research (DZIF), partner site Heidelberg University Hospital, Heidelberg, Germany
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Alvarez AH. Revisiting tuberculosis screening: An insight to complementary diagnosis and prospective molecular approaches for the recognition of the dormant TB infection in human and cattle hosts. Microbiol Res 2021; 252:126853. [PMID: 34536677 DOI: 10.1016/j.micres.2021.126853] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/21/2021] [Accepted: 08/22/2021] [Indexed: 12/17/2022]
Abstract
Tuberculosis (TB) is defined as a chronic infection in both human and cattle hosts and many subclinical cases remain undetected. After the pathogen is inhaled by a host, phagocyted bacilli can persist inside macrophages surviving intracellularly. Hosts develop granulomatous lesions in the lungs or lymph nodes, limiting infection. However, bacilli become persister cells. Immunological diagnosis of TB is performed basically by routine tuberculin skin test (TST), and in some cases, by ancillary interferon-gamma release assay (IGRA). The concept of human latent TB infection (LTBI) by M. tuberculosis is recognized in cohorts without symptoms by routine clinical diagnostic tests, and nowadays IGRA tests are used to confirm LTBI with either active or latent specific antigens of M. tuberculosis. On the other hand, dormant infection in cattle by M. bovis has not been described by TST or IGRA testing as complications occur by cross-reactive immune responses to homolog antigens of environmental mycobacteria or a false-negative test by anergic states of a wained bovine immunity, evidencing the need for deciphering more specific biomarkers by new-generation platforms of analysis for detection of M. bovis dormant infection. The study and description of bovine latent TB infection (boLTBI) would permit the recognition of hidden animal infection with an increase in the sensitivity of routine tests for an accurate estimation of infected dairy cattle. Evidence of immunological and experimental analysis of LTBI should be taken into account to improve the study and the description of the still neglected boLTBI.
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Affiliation(s)
- Angel H Alvarez
- Centro de Investigación y Asistencia en Tecnología y diseño del Estado de Jalisco A.C. (CIATEJ), Consejo Nacional de Ciencia y Tecnología (CONACYT), Av. Normalistas 800 C.P. 44270, Guadalajara, Jalisco, Mexico.
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CCL1 and IL-2Ra differentiate Tuberculosis disease from latent infection Irrespective of HIV infection in low TB burden countries. J Infect 2021; 83:433-443. [PMID: 34333033 DOI: 10.1016/j.jinf.2021.07.036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/20/2021] [Accepted: 07/23/2021] [Indexed: 01/06/2023]
Abstract
OBJECTIVES To evaluate the performance of selected host immunological biomarkers in differentiating tuberculosis (TB) disease from latent TB infection (LTBI) in HIV uninfected and infected individuals enrolled in TB low-burden countries. DESIGN Participants with TB disease (N = 85) and LTBI (N = 150) were recruited from prospective cohorts at hospitals in Norway and Denmark. Plasma concentrations of 54 host markers were assessed by Luminex multiplex immunoassays. Using receiver operator characteristic curves and general discriminant analysis, we determined the abilities of individual and combined biomarkers to discriminate between TB disease and LTBI including when patients were stratified according to HIV infection status. RESULTS Regardless of the groups compared, CCL1 and IL-2Ra were the most accurate single biomarkers in differentiating TB disease from LTBI. Regardless of HIV status, a 4-marker signature (CCL1+RANTES+CRP+MIP-1α) derived from a training set (n = 155) differentiated TB disease from LTBI in the test set (n = 67) with a sensitivity of 56.0% (95% CI, 34.9-75.6) and a specificity of 85.7% (95% CI, 71.5-94.6). A 5-marker signature derived from the HIV uninfected group (CCL1+RANTES+MIP-1α+procalcitonin+IP-10) performed in HIV-infected individuals with a sensitivity of 75.0% and a specificity of 96.7% after leave-one-out cross validation. A 2-marker signature (CCL1+TNF-α) identified in HIV-infected persons performed in HIV-uninfected with a sensitivity and specificity of 66.7% and 100% respectively in the test set. CONCLUSIONS Plasma CCL1 and IL-2Ra have potential as biomarkers for differentiating TB disease from LTBI in low TB burden settings unaffected by HIV infection. Combinations between these and other biomarkers in bio-signatures for global use warrant further exploration.
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