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Li Y, Yang Z, Ge Q, Zhang Y, Gao M, Liu X, Zhang L. Specific Cytokines Analysis Incorporating Latency-Associated Antigens Differentiates Mycobacterium tuberculosis Infection Status: An Exploratory Study. Infect Drug Resist 2024; 17:3385-3393. [PMID: 39131518 PMCID: PMC11317045 DOI: 10.2147/idr.s470963] [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: 03/27/2024] [Accepted: 07/29/2024] [Indexed: 08/13/2024] Open
Abstract
Introduction Current immunologic methods cannot distinguish Mycobacterium tuberculosis (Mtb) infection statuses, especially to discriminate active tuberculosis (ATB) from latent tuberculosis infection (LTBI). This study explored the potential of latency-associated antigens (Rv1733cSLP and Rv2028c) and multifactorial cytokine detection to distinguish tuberculosis infection states. Methods ATB patients (20), LTBI healthcare workers (25), fever patients (11), and healthy controls (10) were enrolled. Cytokine levels (IFN-γ, TNF-α, IL-2, IL-6, IP-10, IL-1Ra, CXCL-1, and MCP-1) were measured using Luminex with/without MTB-specific virulence factor and latency-associated antigens stimulation. Results Without antigen stimulation, IL-6, IP-10, MCP-1, and IL-1Ra were higher in the ATB group than in the LTBI group (p<0.05), but no significant differences between the ATB group and the fever group. Stimulated with the four antigens, respectively, the cytokines, including IP-10Esat-6, IP-10CFP-10, IFN-γRv1733cSLP, IFN-γRv2028c, IL-6Esat-6, IL-6Rv1733cSLP, IL-6Rv2028c, IL-2Rv1733cSLP, IL-2 Rv2028c, IL-1RaEsat-6, IL-1RaCFP-10, IL-1RaRv2028c, CXCL-1Esat-6, CXCL-1CFP-10, CXCL-1Rv1733cSLP, CXCL-1Rv2028c, MCP-1Esat-6 and MCP-1CFP-10, demonstrated accurate discrimination between ATB and LTBI (p<0.05). Additive concentrations demonstrated significant secretion differences of IFN-γ, IP-10 and IL-2, primarily by virulence factors in ATB and latency-associated antigens in LTBI. Latency-associated antigens synergized with virulence factors, enhancing TH1-type cytokine diagnostic efficacy for discriminating ATB from LTBI, the AUC for TNF-α increased from 0.696 to 0.820 (p=0.038), IFN-γ increased from 0.806 to 0.962 (p=0.025), and IL-2 increased from 0.565 to 0.868 (p=0.007). Model selected by forward likelihood method indicated combined detection of IFN-γCFP-10, IFN-γRv1733cSLP, IP-10Rv1733cSLP, and CXCL-1Rv1733cSLP achieved ATB diagnosis (AUC=0.996) and ATB-LTBI differentiation (AUC=0.992). Combined detection of IFN-γCFP-10 and IFN-γRv1733cSLP achieved tuberculosis infection diagnosis (AUC=0.943). Conclusion Latency-associated antigens enhance multiple cytokine discriminatory ability, particularly TH1-type cytokines, for differentiating Mtb infection statuses.
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Affiliation(s)
- Yuanchun 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, People’s Republic of 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, People’s Republic of China
| | - Qiping Ge
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of 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, People’s Republic of China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People’s Republic of 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, People’s Republic of China
- Clinical Epidemiology Unit, Peking Union Medical College, International Clinical Epidemiology Network, Beijing, People’s Republic of China
- Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - 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, People’s Republic of China
- Clinical Epidemiology Unit, Peking Union Medical College, International Clinical Epidemiology Network, Beijing, People’s Republic of China
- Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
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Iqhrammullah M, Yusnaini R, Amirah S, Mulya IC, Tsurayya G, Naufal MA, Santosa SF, Harapan H, Zulkifli B. Effect of tuberculosis-specific antigen stimulation on the diagnostic accuracy of interferon-γ inducible protein-10 in distinguishing active and latent tuberculosis infection: a meta-analysis. Microbes Infect 2024:105396. [PMID: 39032689 DOI: 10.1016/j.micinf.2024.105396] [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: 03/28/2024] [Revised: 07/12/2024] [Accepted: 07/13/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND Identifying active tuberculosis (ATB) from latent tuberculosis infection (LTBI) persists as a challenge, and interferon-γ inducible protein-10 (IP-10) has been employed as the solution. To further improve its diagnostic performance, the sample can be stimulated with TB specific antigen (TBAg). AIM To perform meta-analysis on diagnostic accuracy of unstimulated and TBAg-stimulated IP-10 in differentiating ATB from LTBI. METHODS Systematic search was performed on five major scientific databases as of 29 November 2023. Observational studies reporting diagnostic values of unstimulated or TBAg-stimulated IP-10 in identifying ATB from LTBI were included. Meta-analysis was carried out using two-level mixed-effect logistic regression model. RESULTS Twenty-five studies recruiting 2301 patients (1137 ATB versus 1164 LTBI) were included in the quantitative analysis. The pooled sensitivity and specifity of IP-10 were 72% (95%CI: 0.59-0.82) and 78% (95%CI: 0.63-0.88), respectively. As for TBAg-stimulated IP-10, the sensitivity and specifity were 82% (95%CI: 0.76-0.87) and 85% (95%CI: 0.73-0.92), respectively. The senstivity was reduced signiticantly (p < 0.01) when the patients with human immunodeficiency virus infection were included, except after the TBAg stimulation. CONCLUSION Stimulating IP-10 with TBAg could improve the diagnostic accuracy in differentiating ATB from LTBI.
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Affiliation(s)
- Muhammad Iqhrammullah
- Faculty of Public Health, Universitas Muhammadiyah Aceh, Banda Aceh 23245, Indonesia.
| | - Rika Yusnaini
- Department of Nursing, Faculty of Medicine, Malikussaleh University, Lhokseumawe 24351, Indonesia
| | - Shakira Amirah
- Faculty of Medicine, Universitas Indonesia, Jakarta 40115, Indonesia
| | - Intan Chaharunia Mulya
- Education Program in Reproduction & Development, Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria 3168, Australia
| | - Ghina Tsurayya
- Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
| | - Muhammad Alif Naufal
- Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
| | - Sukmawan Fajar Santosa
- Integrated Research Laboratory, Faculty of Veterinary Medicine, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
| | - Harapan Harapan
- Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia; Tropical Disease Centre, School of Medicine, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia; Department of Microbiology, School of Medicine, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
| | - Baidillah Zulkifli
- Laboratory of Physiology, Faculty of Veterinary Medicine, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia.
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Yao XP, Hong JC, Jiang ZJ, Pan YY, Liu XF, Wang JM, Fan RJ, Yang BH, Zhang WQ, Fan QC, Li LX, Lin BW, Zhao M. Systemic and cerebrospinal fluid biomarkers for tuberculous meningitis identification and treatment monitoring. Microbiol Spectr 2024; 12:e0224623. [PMID: 38047697 PMCID: PMC10783035 DOI: 10.1128/spectrum.02246-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 10/31/2023] [Indexed: 12/05/2023] Open
Abstract
IMPORTANCE Tuberculous meningitis is a life-threatening infection with high mortality and disability rates. Current diagnostic methods using cerebrospinal fluid (CSF) samples have limited sensitivity and lack predictive biomarkers for evaluating prognosis. This study's findings reveal excessive activation of the immune response during tuberculous meningitis (TBM) infection. Notably, a strong negative correlation was observed between CSF levels of monokine induced by interferon-γ (MIG) and the CSF/blood glucose ratio in TBM patients. MIG also exhibited the highest area under the curve with high sensitivity and specificity. This study suggests that MIG may serve as a novel biomarker for differentiating TBM infection in CSF or serum, potentially leading to improved diagnostic accuracy and better patient outcomes.
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Affiliation(s)
- Xiang-Ping Yao
- Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Jian-Chen Hong
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Zai-Jie Jiang
- Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Yu-Ying Pan
- Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Xiao-Feng Liu
- Department of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Jun-Mei Wang
- Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Rui-Jie Fan
- Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Bi-Hui Yang
- Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Wei-Qing Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Qi-Chao Fan
- Department of Infectious Disease, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Li-Xiu Li
- Department of Oncology, Fuzhou Pulmonary Hospital of Fujian, Fuzhou, China
| | - Bi-Wei Lin
- Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Miao Zhao
- Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
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Sampath P, Rajamanickam A, Thiruvengadam K, Natarajan AP, Hissar S, Dhanapal M, Thangavelu B, Jayabal L, Ramesh PM, Ranganathan UD, Babu S, Bethunaickan R. Plasma chemokines CXCL10 and CXCL9 as potential diagnostic markers of drug-sensitive and drug-resistant tuberculosis. Sci Rep 2023; 13:7404. [PMID: 37149713 PMCID: PMC10163852 DOI: 10.1038/s41598-023-34530-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 05/03/2023] [Indexed: 05/08/2023] Open
Abstract
Tuberculosis (TB) diagnosis still remains to be a challenge with the currently used immune based diagnostic methods particularly Interferon Gamma Release Assay due to the sensitivity issues and their inability in differentiating stages of TB infection. Immune markers are valuable sources for understanding disease biology and are easily accessible. Chemokines, the stimulant, and the shaper of host immune responses are the vital hub for disease mediated dysregulation and their varied levels in TB disease are considered as an important marker to define the disease status. Hence, we wanted to examine the levels of chemokines among the individuals with drug-resistant, drug-sensitive, and latent TB compared to healthy individuals. Our results demonstrated that the differential levels of chemokines between the study groups and revealed that CXCL10 and CXCL9 as potential markers of drug-resistant and drug-sensitive TB with better stage discriminating abilities.
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Affiliation(s)
- Pavithra Sampath
- Department of Immunology, ICMR-National Institute for Research in Tuberculosis (ICMR-NIRT), No.1. Mayor Sathyamoorthy Road, Chetpet, Chennai, 600 031, India
| | | | - Kannan Thiruvengadam
- Department of Statistics, ICMR-National Institute for Research in Tuberculosis (ICMR-NIRT), Chennai, India
| | | | - Syed Hissar
- Department of Clinical Research, ICMR-National Institute for Research in Tuberculosis (ICMR-NIRT), Chennai, India
| | - Madhavan Dhanapal
- Department of Immunology, ICMR-National Institute for Research in Tuberculosis (ICMR-NIRT), No.1. Mayor Sathyamoorthy Road, Chetpet, Chennai, 600 031, India
| | - Bharathiraja Thangavelu
- Department of Clinical Pharmacology, ICMR-National Institute for Research in Tuberculosis (ICMR-NIRT), Chennai, India
| | | | | | - Uma Devi Ranganathan
- Department of Immunology, ICMR-National Institute for Research in Tuberculosis (ICMR-NIRT), No.1. Mayor Sathyamoorthy Road, Chetpet, Chennai, 600 031, India
| | - Subash Babu
- ICMR-NIRT-NIH-International Center for Excellence in Research, Chennai, India
| | - Ramalingam Bethunaickan
- Department of Immunology, ICMR-National Institute for Research in Tuberculosis (ICMR-NIRT), No.1. Mayor Sathyamoorthy Road, Chetpet, Chennai, 600 031, India.
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Management of Tuberculosis Infection: Current Situation, Recent Developments and Operational Challenges. Pathogens 2023; 12:pathogens12030362. [PMID: 36986284 PMCID: PMC10051832 DOI: 10.3390/pathogens12030362] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 02/13/2023] [Accepted: 02/16/2023] [Indexed: 02/25/2023] Open
Abstract
Tuberculosis infection (TBI) is defined as a state of infection in which individuals host live Mycobacterium tuberculosis with or without clinical signs of active TB. It is now understood as a dynamic process covering a spectrum of responses to infection resulting from the interaction between the TB bacilli and the host immune system. The global burden of TBI is about one-quarter of the world’s population, representing a reservoir of approximately 2 billion people. On average, 5–10% of people who are infected will develop TB disease over the course of their lives, but this risk is enhanced in a series of conditions, such as co-infection with HIV. The End-TB strategy promotes the programmatic management of TBI as a crucial endeavor to achieving global targets to end the TB epidemic. The current development of new diagnostic tests capable of discriminating between simple TBI and active TB, combined with novel short-course preventive treatments, will help achieve this goal. In this paper, we present the current situation and recent developments of management of TBI and the operational challenges.
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Kalita E, Panda M, Rao A, Prajapati VK. Exploring the role of secretory proteins in the human infectious diseases diagnosis and therapeutics. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2023; 133:231-269. [PMID: 36707203 DOI: 10.1016/bs.apcsb.2022.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Secretory proteins are playing important role during the host-pathogen interaction to develop the infection or protection into the cell. Pathogens developing infectious disease to human being are taken up by host macrophages or number of immune cells, play an important role in physiological, developmental and immunological function. At the same time, infectious agents are also secreting various proteins to neutralize the resistance caused by host cells and also helping the pathogens to develop the infection. Secretory proteins (secretome) are only developed at the time of host-pathogen interaction, therefore they become very important to develop the targeted and potential therapeutic strategies. Pathogen specific secretory proteins released during interaction with host cell provide opportunity to develop point of care and rapid diagnostic kits. Proteins secreted by pathogens at the time of interaction with host cell have also been found as immunogenic in nature and numbers of vaccines have been developed to control the spread of human infectious diseases. This chapter highlights the importance of secretory proteins in the development of diagnostic and therapeutic strategies to fight against human infectious diseases.
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Affiliation(s)
- Elora Kalita
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India
| | - Mamta Panda
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India
| | - Abhishek Rao
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India
| | - Vijay Kumar Prajapati
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India.
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Yu L, Fu H, Zhang H. The diagnostic value of combined detection of microRNA-155, TNF-α and IL-37 for active pulmonary tuberculosis in the elderly. Am J Transl Res 2022; 14:9018-9024. [PMID: 36628207 PMCID: PMC9827330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/29/2022] [Indexed: 01/12/2023]
Abstract
OBJECTIVE To identify a panel of potential biomarkers consisting of microRNA-155 (miR-155), tumor necrosis factor-alpha (TNF-α), interleukin-37 (IL-37) for the diagnosis of active pulmonary tuberculosis (PTB) infection in elderly patients. METHODS The serum expression of miR-155 and TNF-α in patients was measured by RT-qPCR, and the serum IL-37 level was determined by ELISA. The correlation between their expression and the features of active PTB patients was also analyzed. The AUCs of miR-155, TNF-α and IL-37 in diagnosing active PTB was calculated according to the ROC curves. The sensitivity, specificity and Youden's index of the three biomarkers alone or in combination for the active PTB diagnosis in the elderly were assessed. RESULTS miR-155, TNF-α, and IL-37 were overexpressed in the sera of elderly patients with active PTB. miR-155, TNF-α and IL-37 serum levels were enhanced in the elderly patients with pulmonary and extrapulmonary TB relative to those with PTB only, and in patients with active TB infection in both lungs compared to those with unilateral lung infection. The AUCs of miR-155, TNF-α and IL-37 for the diagnosis of active PTB were 0.7920, 0.8734 and 0.7398, respectively. The combination of these three improved the sensitivity of the diagnosis (84.78%). CONCLUSION miR-155, TNF-α and IL-37 were overexpressed in elderly patients with active PTB. The combined detection of serum miR-155/TNF-α/IL-37 expression has potential to serve as a diagnostic tool for active PTB in the elderly.
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Exopolyphosphatases PPX1 and PPX2 from Mycobacterium tuberculosis regulate dormancy response and pathogenesis. Microb Pathog 2022; 173:105885. [DOI: 10.1016/j.micpath.2022.105885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/12/2022] [Accepted: 11/12/2022] [Indexed: 11/21/2022]
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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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Park SY, Hisham Y, Shin HM, Yeom SC, Kim S. Interleukin-18 Binding Protein in Immune Regulation and Autoimmune Diseases. Biomedicines 2022; 10:biomedicines10071750. [PMID: 35885055 PMCID: PMC9313042 DOI: 10.3390/biomedicines10071750] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/13/2022] [Accepted: 07/16/2022] [Indexed: 12/28/2022] Open
Abstract
Natural soluble antagonist and decoy receptor on the surface of the cell membrane are evolving as crucial immune system regulators as these molecules are capable of recognizing, binding, and neutralizing (so-called inhibitors) their targeted ligands. Eventually, these soluble antagonists and decoy receptors terminate signaling by prohibiting ligands from connecting to their receptors on the surface of cell membrane. Interleukin-18 binding protein (IL-18BP) participates in regulating both Th1 and Th2 cytokines. IL-18BP is a soluble neutralizing protein belonging to the immunoglobulin (Ig) superfamily as it harbors a single Ig domain. The Ig domain is essential for its binding to the IL-18 ligand and holds partial homology to the IL-1 receptor 2 (IL-1R2) known as a decoy receptor of IL-1α and IL-1β. IL-18BP was defined as a unique soluble IL-18BP that is distinct from IL-18Rα and IL-18Rβ chain. IL-18BP is encoded by a separated gene, contains 8 exons, and is located at chr.11 q13.4 within the human genome. In this review, we address the difference in the biological activity of IL-18BP isoforms, in the immunity balancing Th1 and Th2 immune response, its critical role in autoimmune diseases, as well as current clinical trials of recombinant IL-18BP (rIL-18BP) or equivalent.
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Affiliation(s)
- Seung Yong Park
- College of Veterinary Medicine, Konkuk University, Seoul 05029, Korea;
| | - Yasmin Hisham
- Laboratory of Cytokine Immunology, Department of Biomedical Science and Technology, Konkuk University, Seoul 05029, Korea;
| | - Hyun Mu Shin
- System Immunology, Wide River Institute of Immunology, Collage of Medicine, Seoul National University, Hongcheon-gun 25159, Korea;
| | - Su Cheong Yeom
- Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Korea;
| | - Soohyun Kim
- College of Veterinary Medicine, Konkuk University, Seoul 05029, Korea;
- Laboratory of Cytokine Immunology, Department of Biomedical Science and Technology, Konkuk University, Seoul 05029, Korea;
- Correspondence: ; Tel.: +82-2-457-0868
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Konrad ER, Soo J, Conroy AL, Namasopo S, Opoka RO, Hawkes MT. Interleukin-18 binding protein in infants and children hospitalized with pneumonia in low-resource settings. Cytokine 2021; 150:155775. [PMID: 34875584 DOI: 10.1016/j.cyto.2021.155775] [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: 09/24/2021] [Revised: 11/14/2021] [Accepted: 11/24/2021] [Indexed: 11/27/2022]
Abstract
Pneumonia is the leading infectious cause of death in children, with especially high mortality in low- and middle-income countries. Interleukin-18 binding protein (IL-18BP) is a natural antagonist of the pro-inflammatory cytokine interleukin-18 and is elevated in numerous autoimmune conditions and infectious diseases. We conducted a prospective cohort study to determine the association between admission IL-18BP levels and clinical severity among children admitted to two hospitals in Uganda for hypoxemic pneumonia. A total of 42 children (median age of 1.2 years) were included. IL-18BP levels were higher in patients with respiratory distress, including chest indrawing (median 15 ng/mL (IQR 9.8-18) versus 4.5 ng/mL (IQR 3.8-11) without chest indrawing, P = 0.0064) and nasal flaring (median 15 ng/mL (IQR 9.7-19) versus 11 ng/mL (IQR 5.4-14) without nasal flaring, P = 0.034). IL-18BP levels were positively correlated with the composite clinical severity score, Pediatric Early Death Index for Africa (PEDIA-e, ρ = 0.46, P = 0.0020). Patients with IL-18BP > 14 ng/mL also had slower recovery times, including time to sit (median 0.69 days (IQR 0.25-1) versus 0.15 days (IQR 0.076-0.36) with IL-18BP < 14 ng/mL, P = 0.036) and time to fever resolution (median 0.63 days (IQR 0.16-2) versus 0.13 days (IQR 0-0.42), P = 0.016). In summary, higher IL-18BP levels were associated with increased disease severity and prolonged recovery times in Ugandan children with pneumonia.
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Affiliation(s)
- Emily R Konrad
- Department of Pediatrics, University of Alberta, Edmonton, Canada
| | - Jeremy Soo
- Department of Pediatrics, University of Alberta, Edmonton, Canada
| | - Andrea L Conroy
- Ryan White Center for Pediatric Infectious Diseases and Global Health, Indiana University School of Medicine, Indianapolis, USA
| | | | - Robert O Opoka
- Department of Paediatrics and Child Health, Mulago Hospital and Makerere University, Kampala, Uganda
| | - Michael T Hawkes
- Department of Pediatrics, University of Alberta, Canada; School of Public Health, University of Alberta, Edmonton, Canada; Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, Canada; Distinguished Researcher, Stollery Science Lab, Canada; Member, Women and Children's Health Research Institute, Canada.
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Delemarre EM, van Hoorn L, Bossink AWJ, Drylewicz J, Joosten SA, Ottenhoff THM, Akkerman OW, Goletti D, Petruccioli E, Navarra A, van den Broek BTA, Paardekooper SPA, van Haeften I, Koenderman L, Lammers JWJ, Thijsen SFT, Hofland RW, Nierkens S. Serum Biomarker Profile Including CCL1, CXCL10, VEGF, and Adenosine Deaminase Activity Distinguishes Active From Remotely Acquired Latent Tuberculosis. Front Immunol 2021; 12:725447. [PMID: 34691031 PMCID: PMC8529994 DOI: 10.3389/fimmu.2021.725447] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 09/15/2021] [Indexed: 12/20/2022] Open
Abstract
Introduction There is an urgent medical need to differentiate active tuberculosis (ATB) from latent tuberculosis infection (LTBI) and prevent undertreatment and overtreatment. The aim of this study was to identify biomarker profiles that may support the differentiation between ATB and LTBI and to validate these signatures. Materials and Methods The discovery cohort included adult individuals classified in four groups: ATB (n = 20), LTBI without prophylaxis (untreated LTBI; n = 20), LTBI after completion of prophylaxis (treated LTBI; n = 20), and healthy controls (HC; n = 20). Their sera were analyzed for 40 cytokines/chemokines and activity of adenosine deaminase (ADA) isozymes. A prediction model was designed to differentiate ATB from untreated LTBI using sparse partial least squares (sPLS) and logistic regression analyses. Serum samples of two independent cohorts (national and international) were used for validation. Results sPLS regression analyses identified C-C motif chemokine ligand 1 (CCL1), C-reactive protein (CRP), C-X-C motif chemokine ligand 10 (CXCL10), and vascular endothelial growth factor (VEGF) as the most discriminating biomarkers. These markers and ADA(2) activity were significantly increased in ATB compared to untreated LTBI (p ≤ 0.007). Combining CCL1, CXCL10, VEGF, and ADA2 activity yielded a sensitivity and specificity of 95% and 90%, respectively, in differentiating ATB from untreated LTBI. These findings were confirmed in the validation cohort including remotely acquired untreated LTBI participants. Conclusion The biomarker signature of CCL1, CXCL10, VEGF, and ADA2 activity provides a promising tool for differentiating patients with ATB from non-treated LTBI individuals.
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Affiliation(s)
- Eveline M Delemarre
- Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands.,Platform Immune Monitoring (PIM), University Medical Center Utrecht, Utrecht, Netherlands
| | - Laura van Hoorn
- Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands.,Department of Respiratory Medicine and Tuberculosis, University Medical Center Utrecht, Utrecht, Netherlands
| | - Aik W J Bossink
- Department of Respiratory Medicine and Tuberculosis, Diakonessenhuis, Utrecht, Netherlands
| | - Julia Drylewicz
- Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands
| | - Simone A Joosten
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands
| | - Tom H M Ottenhoff
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands
| | - Onno W Akkerman
- Department of Respiratory Medicine and Tuberculosis, University Medical Center Groningen, Groningen, Netherlands
| | - Delia Goletti
- Translational Research Unit, Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases-IRCCS L. Spallanzani, Rome, Italy
| | - Elisa Petruccioli
- Translational Research Unit, Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases-IRCCS L. Spallanzani, Rome, Italy
| | - Assunta Navarra
- Translational Research Unit, Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases-IRCCS L. Spallanzani, Rome, Italy
| | | | - Sanne P A Paardekooper
- Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands
| | - Ineke van Haeften
- Department of Tuberculosis, Municipal Public Health Service, Utrecht, Netherlands
| | - Leo Koenderman
- Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands.,Department of Respiratory Medicine and Tuberculosis, University Medical Center Utrecht, Utrecht, Netherlands
| | - Jan-Willem J Lammers
- Department of Respiratory Medicine and Tuberculosis, University Medical Center Utrecht, Utrecht, Netherlands
| | - Steven F T Thijsen
- Department of Medical Microbiology and Immunology, Diakonessenhuis, Utrecht, Netherlands
| | - Regina W Hofland
- Department of Respiratory Medicine and Tuberculosis, University Medical Center Utrecht, Utrecht, Netherlands.,Department of Respiratory Medicine and Tuberculosis, Diakonessenhuis, Utrecht, Netherlands
| | - Stefan Nierkens
- Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands.,Platform Immune Monitoring (PIM), University Medical Center Utrecht, Utrecht, Netherlands
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Koyuncu D, Niazi MKK, Tavolara T, Abeijon C, Ginese ML, Liao Y, Mark C, Specht A, Gower AC, Restrepo BI, Gatti DM, Kramnik I, Gurcan M, Yener B, Beamer G. CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice. PLoS Pathog 2021; 17:e1009773. [PMID: 34403447 PMCID: PMC8423361 DOI: 10.1371/journal.ppat.1009773] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 09/07/2021] [Accepted: 06/30/2021] [Indexed: 12/12/2022] Open
Abstract
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum protein biomarkers to help diagnose TB, which afflicts millions of people in high-burden countries. However, the protein biomarker pipeline is small. Here, we used the Diversity Outbred (DO) mouse population to address this gap, identifying five protein biomarker candidates. One protein biomarker, serum CXCL1, met the World Health Organization’s Targeted Product Profile for a triage test to diagnose active TB from latent M.tb infection (LTBI), non-TB lung disease, and normal sera in HIV-negative, adults from South Africa and Vietnam. To find the biomarker candidates, we quantified seven immune cytokines and four inflammatory proteins corresponding to highly expressed genes unique to progressor DO mice. Next, we applied statistical and machine learning methods to the data, i.e., 11 proteins in lungs from 453 infected and 29 non-infected mice. After searching all combinations of five algorithms and 239 protein subsets, validating, and testing the findings on independent data, two combinations accurately diagnosed progressor DO mice: Logistic Regression using MMP8; and Gradient Tree Boosting using a panel of 4: CXCL1, CXCL2, TNF, IL-10. Of those five protein biomarker candidates, two (MMP8 and CXCL1) were crucial for classifying DO mice; were above the limit of detection in most human serum samples; and had not been widely assessed for diagnostic performance in humans before. In patient sera, CXCL1 exceeded the triage diagnostic test criteria (>90% sensitivity; >70% specificity), while MMP8 did not. Using Area Under the Curve analyses, CXCL1 averaged 94.5% sensitivity and 88.8% specificity for active pulmonary TB (ATB) vs LTBI; 90.9% sensitivity and 71.4% specificity for ATB vs non-TB; and 100.0% sensitivity and 98.4% specificity for ATB vs normal sera. Our findings overall show that the DO mouse population can discover diagnostic-quality, serum protein biomarkers of human TB. More humans die of tuberculosis (TB) than any other infectious disease, yet diagnostic tools remain limited. Here, we used the Diversity Outbred mouse population to discover candidate protein biomarkers of human TB. By applying statistical methods and machine learning to multidimensional data, we identified CXCL1 and MMP8 as the two most promising protein biomarker candidates. When evaluated in samples from human patients, CXCL1 achieved the World Health Organization’s targeted profile for a triage diagnostic test, discriminating active TB from important clinical differential diagnoses: latent Mtb infection and non-TB lung disease in HIV-negative adults. Overall, our studies show how a translationally relevant animal population model can accelerate TB biomarker discovery, validation, and testing for humans.
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Affiliation(s)
- Deniz Koyuncu
- Rensselaer Polytechnic Institute, Department of Electrical, Computer, and Systems Engineering, Troy, New York, United States of America
| | - Muhammad Khalid Khan Niazi
- Wake Forest School of Medicine, Bowman Gray Center for Medical Education, Winston-Salem, North Carolina, United States of America
| | - Thomas Tavolara
- Wake Forest School of Medicine, Bowman Gray Center for Medical Education, Winston-Salem, North Carolina, United States of America
| | - Claudia Abeijon
- Tufts University, Cummings School of Veterinary Medicine, North Grafton, Massachusetts, United States of America
| | - Melanie L. Ginese
- Tufts University, Cummings School of Veterinary Medicine, North Grafton, Massachusetts, United States of America
| | | | - Carolyn Mark
- Kansas State University, College of Veterinary Medicine, Manhattan, Kansas, United States of America
| | - Aubrey Specht
- Tufts University, Cummings School of Veterinary Medicine, North Grafton, Massachusetts, United States of America
| | - Adam C. Gower
- Boston University Clinical and Translational Science Institute, Boston, Massachusetts, United States of America
| | - Blanca I. Restrepo
- The University of Texas Health Science Center at Houston School of Public Health in Brownsville, Texas, United States of America
| | - Daniel M. Gatti
- The Jackson Laboratory, Bar Harbor, Maine, United States of America
| | - Igor Kramnik
- Boston University, National Emerging Infectious Diseases Laboratories, Boston, Massachusetts, United States of America
| | - Metin Gurcan
- Wake Forest School of Medicine, Bowman Gray Center for Medical Education, Winston-Salem, North Carolina, United States of America
| | - Bülent Yener
- Rensselaer Polytechnic Institute, Department of Computer Science, Troy, New York, United States of America
| | - Gillian Beamer
- Tufts University, Cummings School of Veterinary Medicine, North Grafton, Massachusetts, United States of America
- * E-mail:
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14
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Flores J, Cancino JC, Chavez-Galan L. Lipoarabinomannan as a Point-of-Care Assay for Diagnosis of Tuberculosis: How Far Are We to Use It? Front Microbiol 2021; 12:638047. [PMID: 33935997 PMCID: PMC8081860 DOI: 10.3389/fmicb.2021.638047] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 03/22/2021] [Indexed: 12/13/2022] Open
Abstract
Tuberculosis (TB) is still a severe public health problem; the current diagnostic tests have limitations that delay treatment onset. Lipoarabinomannan (LAM) is a glycolipid that is a component of the cell wall of the bacillus Mycobacterium tuberculosis, the etiologic agent of TB. This glycolipid is excreted as a soluble form in urine. The World Health Organization has established that the design of new TB diagnostic methods is one of the priorities within the EndTB Strategy. LAM has been suggested as a biomarker to develop diagnostic tests based on its identification in urine, and it is one of the most prominent candidates to develop point-of-care diagnostic test because urine samples can be easily collected. Moreover, LAM can regulate the immune response in the host and can be found in the serum of TB patients, where it probably affects a wide variety of host cell populations, consequently influencing the quality of both innate and adaptive immune responses during TB infection. Here, we revised the evidence that supports that LAM could be used as a tool for the development of new point-of-care tests for TB diagnosis, and we discussed the mechanisms that could contribute to the low sensitivity of diagnostic testing.
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Affiliation(s)
- Julio Flores
- Laboratory of Integrative Immunology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosio Villegas, Mexico City, Mexico.,Laboratory of Immunomicrobiology, Department of Microbiology, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City, Mexico
| | - Juan Carlos Cancino
- Laboratory of Immunomicrobiology, Department of Microbiology, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City, Mexico
| | - Leslie Chavez-Galan
- Laboratory of Integrative Immunology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosio Villegas, Mexico City, Mexico
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15
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Padmapriyadarsini C, Sachdeva KS, Nair D, Ramachandran R. The paradigm shift in the approach to management of latent tuberculosis infection in high tuberculosis burden countries. Expert Rev Respir Med 2021; 15:899-910. [PMID: 33302729 DOI: 10.1080/17476348.2021.1862652] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Introduction: Addressing the reservoir of Latent Tuberculosis Infection (LTBI) is critical to TB elimination because if left untreated LTBI can progress to active TB disease. This additional burden can prevent achieving the global targets of TB elimination. Management of LTBI has been a low priority target for National TB Elimination Programs (NTEP) due to various challenges in the field settings.Areas covered: This article reviews the most recent advances in the field of LTBI management including newer diagnostics, treatments, vaccines, programmatic challenges, and gaps and suggests a way forward that can be adopted by NTEPs for LTBI. We searched the electronic databases of PubMed, Scopus, and Web of Science for studies published between 2010 to 2020 using MeSH terms: Latent TB Diagnosis, TB preventive therapy, Vaccines, LTBI, and HIV/ COVID.Expert opinion: NTEPs of developing countries should offer a better, point-of-care diagnostic, and effective treatment for LTBI to reduce the number of new TB cases arising from people infected with M.tb. Awareness about LTBI should be increased among the health system staff and the public. More funding is needed to advance research as well as implement the newer findings in the NTEP to achieve the End TB targets by 2035.
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Affiliation(s)
| | | | - Dina Nair
- Department of Clinical Research, ICMR-National Institute for Research in Tuberculosis, Chennai, India
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Evaluation of Interleukin-2 to Detect Active and Latent Tuberculosis among Household Contacts of Pulmonary Tuberculosis Cases. ARCHIVES OF PEDIATRIC INFECTIOUS DISEASES 2021. [DOI: 10.5812/pedinfect.109398] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: The interferon-gamma release assays (IGRAs) are the most important diagnostic approach to Mycobacterium tuberculosis infection diagnosis. However, they cannot discriminate between latent tuberculosis infection (LTBI) and active tuberculosis (TB). Some recent studies suggested that interleukin-2 (IL-2) response to M. tuberculosis could be utilized as a potential biomarker to discriminate active disease from LTBI. Objectives: The current study aimed at evaluating the potential role of IL-2 to detect both active TB and LTBI among household contacts of patients with pulmonary TB in two TB-endemic regions of Iran. Methods: A total of 650 household contacts of patients with TB were invited to participate in the current study. All subjects were diagnosed on extensive clinical evaluation of active TB and LTBI based on clinical manifestations and laboratory findings. The IGRA test was performed using QuantiFERON®-TB Gold Plus. The serum level of IL-2 was measured using the ELISA Development Kit. Results: A total of 237 household contacts entered the final analysis, including 132 patients with LTBI and three with active TB. In addition, 14 subjects were included as TB controls and 102 as TB-uninfected controls. The serum level of IL-2 was significantly higher in active TB and LTBI patients than TB-uninfected controls. The ROC curve was plotted between active TB and LTBI, revealing that the cutoff point of 25.5 pg/mL identifies the active form with 88.24% sensitivity and 36.36% specificity. Conclusions: The current study indicated that the IL-2 assay could not discriminate between active TB and LTBI with acceptable sensitivity.
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IL-18 and related function proteins associated with tuberculosis severity and screening for active TB among patients with non-mycobacterial community-acquired pneumonia (CAP). Saudi J Biol Sci 2020; 27:3035-3045. [PMID: 33100863 PMCID: PMC7569146 DOI: 10.1016/j.sjbs.2020.09.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 08/31/2020] [Accepted: 09/01/2020] [Indexed: 01/04/2023] Open
Abstract
Background Differentiation of active pulmonary tuberculosis (TB) from non-mycobacterial community-acquired pneumonia (CAP) still remains a diagnostic challenge. Objective The study aimed to quantify the IL-18, IFN-γ, IL-18BP, IL-37, and IP-10 levels in serum and Mycobacterium tuberculosis (M.tb) antigens-stimulated blood cultures from TB or CAP patients and explore if the proteins can be a useful basis for discriminating these diseases. Methods In total, 124 Polish adults, including mild/moderate (M/MTB) or advanced (ATB) TB patients, and CAP patients, were enrolled in the study. The concentrations of IL-18, IL-18BP, IFN-γ, IL-37, and IP-10 in sera and M.tb-stimulated cultures were measured by ELISA. Results The most specific and sensitive serum proteins discriminating TB from CAP were IP-10 and IL-18BP; however, IP-10 had the highest AUC in the ROC curve for the diagnosis. Serum IP-10 and IL-18BP levels increased significantly in M/MTB or ATB groups. The IL-18BP elevation in ATB group was accompanied by an increase in IL-18. No single protein measured in M.tb-stimulated cultures differed TB from CAP patients. Conclusions The combined analysis of serum IL-18BP and IP-10 might be considered as an auxiliary tool in the differentiation of TB from CAP.
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Interleukin-18, Functional IL-18 Receptor and IL-18 Binding Protein Expression in Active and Latent Tuberculosis. Pathogens 2020; 9:pathogens9060451. [PMID: 32521630 PMCID: PMC7350328 DOI: 10.3390/pathogens9060451] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/30/2020] [Accepted: 06/04/2020] [Indexed: 11/16/2022] Open
Abstract
A thorough understanding of the processes modulating the innate and acquired immune response to Mycobacterium tuberculosis (M.tb) infection in the context of gene expression is still a scientific and diagnostic problem. The study was aimed to assess IL-18, IL-18 binding protein (IL-18BP), IL-18R, IFN-γ, and IL-37 mRNA expression in patients with active tuberculosis (ATB) and healthy volunteers with latent M.tb-infection (LTB) or M.tb-uninfected healthy controls (Control). The relative mRNA expression was assessed in the buffy coat blood fraction using the qPCR method. In total, 97 BCG-vaccinated Polish adults were enrolled in the study. The relative expression of IL-18 and IL-18BP mRNA was significantly elevated in the ATB and LTB groups. In ATB, but not LTB individuals, the overexpression of IL-18 and IL-18BP, as well as a significant increase in IFN-γ mRNA expression, might be considered as a manifestation of active tuberculosis disease. No statistically significant differences were observed in the IL-37 mRNA expression among the studied groups. Particularly noteworthy is the outstanding reduction in the relative expression of IL-18R mRNA in the LTB group as compared to the ATB and Control group. Reduced expression of IL-18R in LTB group may, at least partially, prevent the development of a pathological inflammatory reaction and promote the maintenance of homeostatic conditions between host immunity and M.tb.
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