1
|
Steyn C, Mishi R, Fillmore S, Verhoog MB, More J, Rohlwink UK, Melvill R, Butler J, Enslin JMN, Jacobs M, Sauka-Spengler T, Greco M, Quiñones S, Dulla CG, Raimondo JV, Figaji A, Hockman D. A temporal cortex cell atlas highlights gene expression dynamics during human brain maturation. Nat Genet 2024; 56:2718-2730. [PMID: 39567748 PMCID: PMC11631765 DOI: 10.1038/s41588-024-01990-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 10/15/2024] [Indexed: 11/22/2024]
Abstract
The human brain undergoes protracted postnatal maturation, guided by dynamic changes in gene expression. Most studies exploring these processes have used bulk tissue analyses, which mask cell-type-specific gene expression dynamics. Here, using single-nucleus RNA sequencing on temporal lobe tissue, including samples of African ancestry, we build a joint pediatric and adult atlas of 75 cell subtypes, which we verify with spatial transcriptomics. We explore the differences between pediatric and adult cell subtypes, revealing the genes and pathways that change during brain maturation. Our results highlight excitatory neuron subtypes, including the LTK and FREM subtypes, that show elevated expression of genes associated with cognition and synaptic plasticity in pediatric tissue. The resources we present here improve our understanding of the brain during its development and contribute to global efforts to build an inclusive brain cell map.
Collapse
Affiliation(s)
- Christina Steyn
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Ruvimbo Mishi
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Stephanie Fillmore
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Matthijs B Verhoog
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Jessica More
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Ursula K Rohlwink
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Division of Neurosurgery, Department of Surgery, University of Cape Town, Cape Town, South Africa
| | - Roger Melvill
- Division of Neurosurgery, Department of Surgery, University of Cape Town, Cape Town, South Africa
| | - James Butler
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Division of Neurology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Johannes M N Enslin
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Division of Neurosurgery, Department of Surgery, University of Cape Town, Cape Town, South Africa
| | - Muazzam Jacobs
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- Division of Immunology, Department of Pathology University of Cape Town, Cape Town, South Africa
- National Health Laboratory Service, Cape Town, South Africa
| | - Tatjana Sauka-Spengler
- Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Maria Greco
- Single Cell Facility, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Sadi Quiñones
- Department of Neuroscience, Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA
- Graduate School of Biomedical Science, Tufts University School of Medicine, Boston, MA, USA
| | - Chris G Dulla
- Department of Neuroscience, Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA
| | - Joseph V Raimondo
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Anthony Figaji
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Division of Neurosurgery, Department of Surgery, University of Cape Town, Cape Town, South Africa
| | - Dorit Hockman
- Division of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa.
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
| |
Collapse
|
2
|
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; 26:105396. [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] [MESH Headings] [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.
Collapse
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.
| |
Collapse
|
3
|
Wei Z, Chen Y, Dong P, Liu Z, Lai X, Wang N, Li H, Wang Q, Tao L, Su N, Yang Y, Meng F. CXCL9/CXCL10 as biomarkers the monitoring of treatment responses in Pulmonary TB patients: a systematic review and meta-analysis. BMC Infect Dis 2024; 24:1037. [PMID: 39333908 PMCID: PMC11428339 DOI: 10.1186/s12879-024-09939-0] [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: 03/05/2024] [Accepted: 09/16/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Tuberculosis (TB) remains a persistent threat to global public health and traditional treatment monitoring approaches are limited by their potential for contamination and need for timely evaluation. Therefore, new biomarkers are urgently required for monitoring the treatment efficacy of TB. METHODS This study aimed to elucidate the levels of CXCL10 and CXCL9 in pulmonary TB patients who underwent anti-TB treatment. The data was acquired from five databases, including PubMed, Ovid, Web of Science, Embase, and the Cochrane Library. A meta-analysis of CXCL10 data from all time points was conducted. Furthermore, a trend meta-analysis of temporal data of CXCL10 and CXCL9 from multiple time points was also performed. RESULTS It was revealed that patients who responded poorly to anti-TB treatment had higher serum levels relative to those who responded well (SMD: 1.23, 95% CI: -0.37-2.84) at the end of intensive treatment (2 months). Furthermore, heterogeneity was observed in these results, which might be because patients with a prior history of TB and different treatment monitoring methods than those selected in this study were also included. The analysis of alterations in CXCL10 and CXCL9 levels since the last collection time points indicated that their levels reduced with time. CONCLUSION In summary, the study revealed that reductions in CXCL10 levels during the first two months of anti-TB treatment are correlated with treatment responses. Furthermore, decreasing levels of CXCL9 during the treatment suggest that it may also serve as a biomarker with a similar value to CXCL10. Future in-depth studies are thus warranted to further probe the relevance of CXCL10 and CXCL9 in monitoring the treatment efficacy of TB.
Collapse
Grants
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 2022YFC2304800 the National Key Research and Development Program of China
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 202002030152, 202102020910, 202206010134, 202201010697, 2023A03J0539, 2023A03J0992 Guangzhou Science and Technology Planning Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 2018A030313550, 2023A1515010461 Guangdong Natural Science Foundation Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231A011051, 20241A011049 Guangzhou Health Science and Technology Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- 20231251 Guangdong Bureau of Traditional Chinese Medicine Scientific Research Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
- A2023284 Guangdong Medical Science and Technology Research Fund Project
Collapse
Affiliation(s)
- Zeyou Wei
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China
| | - Yuanjin Chen
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China
| | - Pengyan Dong
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China
| | - Zhihui Liu
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China
| | - Xiaomin Lai
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China
- School of Public Health, Sun Yat-sen University, Shen Zhen, China
| | - Nan Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China
| | - Hua Li
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China
| | - Qi Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China
| | - Lan Tao
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Department of Tuberculosis, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, Guangzhou, P.R. China
| | - Ning Su
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Department of Oncology, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, Guangzhou, P.R. China
| | - Yu Yang
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China.
| | - Fanrong Meng
- State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Institute of Pulmonary Diseases, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, 62 Hengzhigang Rd, Yuexiu District, Guangzhou, 510095, People's Republic of China.
| |
Collapse
|
4
|
Barnacle JR, Davis AG, Wilkinson RJ. Recent advances in understanding the human host immune response in tuberculous meningitis. Front Immunol 2024; 14:1326651. [PMID: 38264653 PMCID: PMC10803428 DOI: 10.3389/fimmu.2023.1326651] [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: 10/23/2023] [Accepted: 12/18/2023] [Indexed: 01/25/2024] Open
Abstract
Tuberculous meningitis (TBM), the most severe form of tuberculosis, causes death in approximately 25% cases despite antibiotic therapy, and half of survivors are left with neurological disability. Mortality and morbidity are contributed to by a dysregulated immune response, and adjunctive host-directed therapies are required to modulate this response and improve outcomes. Developing such therapies relies on improved understanding of the host immune response to TBM. The historical challenges in TBM research of limited in vivo and in vitro models have been partially overcome by recent developments in proteomics, transcriptomics, and metabolomics, and the use of these technologies in nested substudies of large clinical trials. We review the current understanding of the human immune response in TBM. We begin with M. tuberculosis entry into the central nervous system (CNS), microglial infection and blood-brain and other CNS barrier dysfunction. We then outline the innate response, including the early cytokine response, role of canonical and non-canonical inflammasomes, eicosanoids and specialised pro-resolving mediators. Next, we review the adaptive response including T cells, microRNAs and B cells, followed by the role of the glutamate-GABA neurotransmitter cycle and the tryptophan pathway. We discuss host genetic immune factors, differences between adults and children, paradoxical reaction, and the impact of HIV-1 co-infection including immune reconstitution inflammatory syndrome. Promising immunomodulatory therapies, research gaps, ongoing challenges and future paths are discussed.
Collapse
Affiliation(s)
- James R. Barnacle
- The Francis Crick Institute, London, United Kingdom
- Department of Infectious Disease, Imperial College, London, United Kingdom
- Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, South Africa
| | - Angharad G. Davis
- The Francis Crick Institute, London, United Kingdom
- Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, South Africa
| | - Robert J. Wilkinson
- The Francis Crick Institute, London, United Kingdom
- Department of Infectious Disease, Imperial College, London, United Kingdom
- Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, South Africa
| |
Collapse
|
5
|
Herrera M, Keynan Y, Lopez L, Marín D, Vélez L, McLaren PJ, Rueda ZV. Cytokine/chemokine profiles in people with recent infection by Mycobacterium tuberculosis. Front Immunol 2023; 14:1129398. [PMID: 37261336 PMCID: PMC10229054 DOI: 10.3389/fimmu.2023.1129398] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 04/26/2023] [Indexed: 06/02/2023] Open
Abstract
Introduction The risk of progression to tuberculosis disease is highest within the first year after M. tuberculosis infection (TBI). We hypothesize that people with newly acquired TBI have a unique cytokine/chemokine profile that could be used as a potential biomarker. Methods We evaluated socio-demographic variables and 18 cytokines/chemokines in plasma samples from a cohort of people deprived of liberty (PDL) in two Colombian prisons: 47 people diagnosed with pulmonary TB, 24 with new TBI, and 47 non-infected individuals. We performed a multinomial regression to identify the immune parameters that differentiate the groups. Results The concentration of immune parameters changed over time and was affected by the time of incarceration. The concentration of sCD14, IL-18 and IP-10 differed between individuals with new TBI and short and long times of incarceration. Among people with short incarceration, high concentrations of MIP-3α were associated with a higher risk of a new TBI, and higher concentrations of Eotaxin were associated with a lower risk of a new TBI. Higher concentrations of sCD14 and TNF-α were associated with a higher risk of TB disease, and higher concentrations of IL-18 and MCP-1 were associated with a lower risk of TB disease. Conclusions There were cytokines/chemokines associated with new TBI and TB disease. However, the concentration of immune mediators varies by the time of incarceration among people with new TBI. Further studies should evaluate the changes of these and other cytokines/chemokines over time to understand the immune mechanisms across the spectrum of TB.
Collapse
Affiliation(s)
- Mariana Herrera
- Epidemiology Doctorate, Facultad Nacional de Salud Pública, Universidad de Antioquia, Medellín, Colombia
- Department of Medical Microbiology & Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
| | - Yoav Keynan
- Department of Medical Microbiology & Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- Departments of Internal Medicine and Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Lucelly Lopez
- Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
- Grupo de Investigación en Salud Pública, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Diana Marín
- Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
- Grupo de Investigación en Salud Pública, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Lázaro Vélez
- Grupo Investigador de Problemas en Enfermedades Infecciosas (GRIPE), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Paul J. McLaren
- Department of Medical Microbiology & Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Zulma Vanessa Rueda
- Department of Medical Microbiology & Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
- Grupo de Investigación en Salud Pública, Universidad Pontificia Bolivariana, Medellín, Colombia
| |
Collapse
|
6
|
Peruhype-Magalhães V, de Araújo FF, de Morais Papini TF, Wendling APB, Campi-Azevedo AC, Coelho-Dos-Reis JG, de Almeida IN, do Valle Antonnelli LR, Amaral LR, de Souza Gomes M, Brito-de-Sousa JP, Elói-Santos SM, Augusto VM, Pretti Dalcolmo MM, Carneiro CM, Teixeira-Carvalho A, Martins-Filho OA. Serum biomarkers in patients with unilateral or bilateral active pulmonary tuberculosis: Immunological networks and promising diagnostic applications. Cytokine 2023; 162:156076. [PMID: 36417816 DOI: 10.1016/j.cyto.2022.156076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 10/08/2022] [Accepted: 10/14/2022] [Indexed: 11/21/2022]
Abstract
The present observational study was designed to characterize the integrative profile of serum soluble mediators to describe the immunological networks associated with clinical findings and identify putative biomarkers for diagnosis and prognosis of active tuberculosis. The study population comprises 163 volunteers, including 84 patients with active pulmonary tuberculosis/(TB), and 79 controls/(C). Soluble mediators were measured by multiplexed assay. Data analysis demonstrated that the levels of CCL3, CCL5, CXCL10, IL-1β, IL-6, IFN-γ, IL-1Ra, IL-4, IL-10, PDGF, VEGF, G-CSF, IL-7 were increased in TB as compared to C. Patients with bilateral pulmonary involvement/(TB-BI) exhibited higher levels of CXCL8, IL-6 and TNF with distinct biomarker signatures (CCL11, CCL2, TNF and IL-10) as compared to patients with unilateral infiltrates/(TB-UNI). Analysis of biomarker networks based in correlation power graph demonstrated small number of strong connections in TB and TB-BI. The search for biomarkers with relevant implications to understand the pathogenetic mechanisms and useful as complementary diagnosis tool of active TB pointed out the excellent performance of single analysis of IL-6 or CXCL10 and the stepwise combination of IL-6 → CXCL10 (Accuracy = 84 %; 80 % and 88 %, respectively). Together, our finding demonstrated that immunological networks of serum soluble biomarkers in TB patients differ according to the unilateral or bilateral pulmonary involvement and may have relevant implications to understand the pathogenetic mechanisms involved in the clinical outcome of Mtb infection.
Collapse
Affiliation(s)
- Vanessa Peruhype-Magalhães
- Grupo Integrado de Pesquisa em Biomarcadores, Instituto René Rachou, FIOCRUZ-Minas, Belo Horizonte, Minas Gerais, Brazil
| | - Fernanda Fortes de Araújo
- Grupo Integrado de Pesquisa em Biomarcadores, Instituto René Rachou, FIOCRUZ-Minas, Belo Horizonte, Minas Gerais, Brazil
| | - Tatiane Figueiredo de Morais Papini
- Grupo Integrado de Pesquisa em Biomarcadores, Instituto René Rachou, FIOCRUZ-Minas, Belo Horizonte, Minas Gerais, Brazil; Pós-graduação em Ciências Farmacêuticas (CIPHARMA), Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil
| | - Ana Paula Barbosa Wendling
- Grupo Integrado de Pesquisa em Biomarcadores, Instituto René Rachou, FIOCRUZ-Minas, Belo Horizonte, Minas Gerais, Brazil
| | - Ana Carolina Campi-Azevedo
- Grupo Integrado de Pesquisa em Biomarcadores, Instituto René Rachou, FIOCRUZ-Minas, Belo Horizonte, Minas Gerais, Brazil
| | - Jordana Grazziela Coelho-Dos-Reis
- Laboratório de Virologia Básica e Aplicada, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Isabela Neves de Almeida
- Departamento de Análises Clínicas, Escola de Farmácia, Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil
| | - Lis Ribeiro do Valle Antonnelli
- Laboratório de Biologia e Imunologia de Doenças Infecciosas e Parasitárias, Instituto René Rachou - FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil
| | - Laurence Rodrigues Amaral
- Rede Multidisciplinar de Pesquisa, Ciência e Tecnologia, Laboratório de Bioinformática e Análises Moleculares, Universidade Federal de Uberlândia, Campus Patos de Minas, Patos de Minas, MG, Brazil
| | - Matheus de Souza Gomes
- Rede Multidisciplinar de Pesquisa, Ciência e Tecnologia, Laboratório de Bioinformática e Análises Moleculares, Universidade Federal de Uberlândia, Campus Patos de Minas, Patos de Minas, MG, Brazil
| | - Joaquim Pedro Brito-de-Sousa
- Pós-graduação em Imunologia e Parasitologia Aplicadas (PPIPA), Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil
| | - Silvana Maria Elói-Santos
- Grupo Integrado de Pesquisa em Biomarcadores, Instituto René Rachou, FIOCRUZ-Minas, Belo Horizonte, Minas Gerais, Brazil; Departamento de Propedêutica Complementar, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Valéria Maria Augusto
- Departamento de Propedêutica Complementar, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Margareth Maria Pretti Dalcolmo
- Escola Nacional de Saúde Pública, Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Cláudia Martins Carneiro
- Pós-graduação em Ciências Farmacêuticas (CIPHARMA), Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil; Departamento de Análises Clínicas, Escola de Farmácia, Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil
| | - Andréa Teixeira-Carvalho
- Grupo Integrado de Pesquisa em Biomarcadores, Instituto René Rachou, FIOCRUZ-Minas, Belo Horizonte, Minas Gerais, Brazil.
| | - Olindo Assis Martins-Filho
- Grupo Integrado de Pesquisa em Biomarcadores, Instituto René Rachou, FIOCRUZ-Minas, Belo Horizonte, Minas Gerais, Brazil.
| |
Collapse
|
7
|
Identification of host biomarkers from dried blood spots for monitoring treatment response in extrapulmonary tuberculosis. Sci Rep 2023; 13:599. [PMID: 36635313 PMCID: PMC9837114 DOI: 10.1038/s41598-022-26823-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 12/20/2022] [Indexed: 01/14/2023] Open
Abstract
There is a lack of objective tools for monitoring treatment response in extrapulmonary tuberculosis (EPTB). This study aimed to explore the utility of inflammatory biomarkers from the dry blood spots (DBS) as a tool for monitoring treatment response in EPTB. In a prospective cohort study, 40 inflammatory biomarkers were investigated in DBS samples from 105 EPTB cases using a Luminex platform. The samples were taken before, and, at the end of the 2nd and 6th months of treatment. A total of 11 inflammatory host biomarkers changed significantly with treatment in all EPTB patients. CXCL9/MIG, CCL20, CCL23, CXCL10/IP-10, CXCL1, CXCL2, and CXCL8 significantly declined in our cohort of EPTB (48 TB pleuritis and 57 TB lymphadenitis) patients at both time points. A biosignature consisting of MIG, CCL23, and CXCL2, corresponded with the treatment response in 81% of patients in the 2nd month and 79% of patients at the end of treatment. MIG, CCL23, IP-10, and CXCL2 changed significantly with treatment in all patients including those showing partial clinical response at the 2nd month of treatment. The changes in the levels of inflammatory biomarkers in the DBS correspond with the treatment success and can be developed as a routine test in low-resource settings.
Collapse
|
8
|
Eshraghisamani R, Arrazuria R, Luo L, De Buck J. Evaluation of Mycobacterium avium subsp. paratuberculosis isocitrate lyase ( IcL) and ABC transporter ( BacA) knockout mutants as vaccine candidates. Front Cell Infect Microbiol 2023; 13:1149419. [PMID: 37065210 PMCID: PMC10098363 DOI: 10.3389/fcimb.2023.1149419] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 02/28/2023] [Indexed: 04/18/2023] Open
Abstract
There has been little success in controlling Johne's disease, caused by Mycobacterium avium subsp. paratuberculosis, due to suboptimal diagnostics and the ineffectiveness of available vaccines. By knocking out BacA and IcL, genes required for MAP survival in dairy calves, two live-attenuated vaccine candidates were created. This study evaluated the host-specific attenuation of MAP IcL and BacA mutants in mouse and calf models, as well as the elicited immune responses. Deletion mutants were generated in MAP strain A1-157 through specialized transduction and found viable in vitro. First, the mutants' attenuation and elicited cytokine secretion were assessed in a mouse model, 3 weeks after intraperitoneal inoculation with MAP strains. Later, vaccine strains were assessed in a natural host infection model where calves received 109CFU oral dose of MAP wild-type or mutant strains at 2 weeks old. Transcription levels of cytokines in PBMCs were evaluated at 12-, 14-, and 16-weeks post-inoculation (WPI) and MAP colonization in tissue was assessed at 4.5 months after inoculation. Whereas both vaccine candidates colonized mouse tissues similarly to wild-type strain, both failed to persist in calf tissues. In either mouse or calf models, gene deletion did not reduce immunogenicity. Instead, inoculation with ΔBacA induced a greater upregulation of proinflammatory cytokines than ΔIcL and wild-type in both models and a greater expansion of cytotoxic and memory T-cells than uninfected control in calves. ΔBacA and wild-type strains significantly increased secretion of IP-10, MIG, TNFα, and RANTES in mice serum compared to uninfected control. This agreed with upregulation of IL-12, IL-17, and TNFα in calves inoculated with ΔBacA at all time points. The ΔBacA also gave rise to greater populations of CD4+CD45RO+, and CD8+ cells than uninfected control calves at 16 WPI. Low survival rate of MAP in macrophages co-incubated with PBMCs isolated from the ΔBacA group indicated that these cell populations are capable of killing MAP. Overall, the immune response elicited by ΔBacA is stronger compared to ΔIcL and it is maintained over two different models and over time in calves. Further investigation is warranted to evaluate the BacA mutant's protection against MAP infection as a live attenuated vaccine candidate.
Collapse
|
9
|
Mann TN, Davis JH, Beltran C, Walzl G, du Toit J, Lamberts RP, Chegou NN. Evaluation of host biomarkers for monitoring treatment response in spinal tuberculosis: A 12-month cohort study. Cytokine 2022; 157:155944. [PMID: 35717881 DOI: 10.1016/j.cyto.2022.155944] [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] [Received: 03/03/2022] [Revised: 05/19/2022] [Accepted: 06/06/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Monitoring treatment response is an important precaution in spinal tuberculosis (TB), particularly when the condition was clinically diagnosed rather than bacteriologically confirmed and when drug susceptibility testing was not performed. Conventional monitoring measures have limitations and there is a need for favourable alternatives. Therefore, this study aimed to investigate changes in immune biomarkers over the course of treatment for spinal TB and to compare these responses to the conventional monitoring measure, erythrocyte sedimentation rate (ESR). METHODS Patients with spinal TB were recruited from a tertiary hospital in the Western Cape, South Africa, and provided blood samples at 0, 3, 6, 9 and 12 months of TB treatment. Blood samples were analysed for ESR, using standard techniques, and for 19 cytokines, using a multiplex platform. Changes in ESR and cytokine levels were investigated using a mixed model ANOVA and Least Significant Difference post-hoc testing. RESULTS Twenty-six patients with spinal TB were included in the study although only fifteen remained in follow-up at 12 months. Seven biomarkers changed significantly over the course of treatment (CRP, Fibrinogen, IFN-γ, Ferritin, VEGF-A, ApoA1 and NCAM, p < 0.01) with a further three showing a strong trend towards change (CCL1, CXCL9 and GDF-15, 0.05 ≥ p ≤ 0.06). Responsive biomarkers could be approximately grouped according to patterns of progressive, initial or delayed change. ESR performed similarly to CRP, Fibrinogen and IFN-γ with all showing significant decreases between 0, 6 and 12- months of treatment. Individual ESR responses were variable. DISCUSSION Individual ESR responses may be unreliable and support the investigation of multi-marker approaches to evaluating treatment response in spinal TB. Biomarkers of treatment response identified in the current study require validation in a larger study, which may also incorporate aspects such as evaluating biomarkers within the first week of treatment and the inclusion of a healthy control group.
Collapse
Affiliation(s)
- Theresa N Mann
- Division of Orthopaedic Surgery, Department of Surgical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; Institute of Orthopaedics and Rheumatology, Mediclinic Winelands Orthopaedic Hospital, Stellenbosch, South Africa.
| | - Johan H Davis
- Division of Orthopaedic Surgery, Department of Surgical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; Institute of Orthopaedics and Rheumatology, Mediclinic Winelands Orthopaedic Hospital, Stellenbosch, South Africa
| | - Caroline Beltran
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Gerhard Walzl
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Jacques du Toit
- Division of Orthopaedic Surgery, Department of Surgical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Robert P Lamberts
- Division of Orthopaedic Surgery, Department of Surgical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; Division of Biokinetics, Department of Sport Science, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Novel N Chegou
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| |
Collapse
|
10
|
Host biomarkers for monitoring therapeutic response in extrapulmonary tuberculosis. Cytokine 2021; 142:155499. [PMID: 33799008 DOI: 10.1016/j.cyto.2021.155499] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 03/08/2021] [Indexed: 01/29/2023]
Abstract
PURPOSE The aim of this study was to explore the utility of inflammatory biomarkers in the peripheral blood to predict response to treatment in extrapulmonary tuberculosis (EPTB). METHODS A Luminex xMAP-based multiplex immunoassay was used to measure 40 inflammatory biomarkers in un-stimulated plasma of 91 EPTB patients (48 lymphadenitis, and 43 pleuritis) before and at 2 and 6 months of treatment. RESULTS Overall a significant change was observed in 28 inflammatory biomarkers with treatment in EPTB patients. However, MIG/CXCL9, IP-10/CXCL10, and CCL23 decreased in all patients' groups with successful treatment at both time points. At 2 months, 29/64 (45%) patients responded partially while 35/64 (55%) showed complete regress. Among good responders, a higher number of biomarkers (16/40) reduced significantly as compared to partial responders (1/40). Almost half (14/29) of partial responders required longer treatment than 6 months to achieve satisfactory response. The levels of MIG, IP-10, MIF, CCL22 and CCL23 reduced significantly among 80, 74, 60, 71, 51% good responders, as compared to 52, 52, 52, 59, 52% partial responders, respectively. A biosignature, defined by a significant decrease in any one of these five biomarkers, corresponded with satisfactory response to treatment in 97% patients at 2 month and 99% patients at 6 months of treatment. CONCLUSION Change in inflammatory biomarkers correlates with treatment success. A five biomarker biosignature (MIG, IP-10, MIF, CCL22 and CCL23) could be used as an indicator of treatment success.
Collapse
|
11
|
Park JY, Park SB, Park H, Kim J, Kim YN, Kim S. Cytokine and Chemokine mRNA Expressions after Mycobacterium tuberculosis-Specific Antigen Stimulation in Whole Blood from Hemodialysis Patients with Latent Tuberculosis Infection. Diagnostics (Basel) 2021; 11:diagnostics11040595. [PMID: 33810426 PMCID: PMC8066642 DOI: 10.3390/diagnostics11040595] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/16/2021] [Accepted: 03/22/2021] [Indexed: 02/08/2023] Open
Abstract
There have been few reports on the kinetics of hemodialyzed (HD) patients’ immune responses in latent tuberculosis infection (LTBI). Therefore, in the present study, messenger ribonucleic acid (mRNA) expression levels of nine immune markers were analyzed to discriminate between HD patients with LTBI and healthy individuals. Nine cytokines and chemokines were screened through relative mRNA expression levels in whole blood samples after stimulation with Mycobacterium tuberculosis (MTB)-specific antigens from HD patients with LTBI (HD/LTBI), HD patients without LTBI, and healthy individuals, and results were compared with the QuantiFERON-TB Gold In-Tube (QFT-GIT) test. We confirmed that the C-C motif chemokine 11 (CCL11) mRNA expression level of the HD/LTBI group was significantly higher than the other two groups. Especially, the CCL11 mRNA expression level of the >0.7 IU/mL group in the QFT-GIT test was significantly higher than the <0.2 IU/mL group in the QFT-GIT test and the 0.2–0.7 IU/mL group in the QFT-GIT test (p = 0.0043). The present study reveals that the relative mRNA expression of CCL11 was statistically different in LTBI based on the current cut-off value (i.e., ≥0.35 IU/mL) and in the >0.7 IU/mL group. These results suggest that CCL11 mRNA expression might be an alternative biomarker for LTBI diagnosis in HD patients.
Collapse
Affiliation(s)
- Ji Young Park
- Department of Internal Medicine, Park Clinic, Busan 49267, Korea;
| | - Sung-Bae Park
- Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea; (S.-B.P.); (H.P.); (J.K.)
- Clinical Trial Specialist Program for In Vitro Diagnostics, Brain Busan 21 Plus Program, Graduate School, Catholic University of Pusan, Busan 49267, Korea
| | - Heechul Park
- Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea; (S.-B.P.); (H.P.); (J.K.)
- Clinical Trial Specialist Program for In Vitro Diagnostics, Brain Busan 21 Plus Program, Graduate School, Catholic University of Pusan, Busan 49267, Korea
| | - Jungho Kim
- Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea; (S.-B.P.); (H.P.); (J.K.)
- Clinical Trial Specialist Program for In Vitro Diagnostics, Brain Busan 21 Plus Program, Graduate School, Catholic University of Pusan, Busan 49267, Korea
| | - Ye Na Kim
- Department of Internal Medicine, Kosin University Gospel Hospital, Busan 49267, Korea
- Correspondence: (Y.N.K.); (S.K.); Tel.: +82-51-990-6108 (Y.N.K.); +82-51-510-0560 (S.K.); Fax: +82-51-990-3005 (Y.N.K.); +82-51-510-0568 (S.K.)
| | - Sunghyun Kim
- Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea; (S.-B.P.); (H.P.); (J.K.)
- Clinical Trial Specialist Program for In Vitro Diagnostics, Brain Busan 21 Plus Program, Graduate School, Catholic University of Pusan, Busan 49267, Korea
- Correspondence: (Y.N.K.); (S.K.); Tel.: +82-51-990-6108 (Y.N.K.); +82-51-510-0560 (S.K.); Fax: +82-51-990-3005 (Y.N.K.); +82-51-510-0568 (S.K.)
| |
Collapse
|
12
|
Kwon JS, Park JH, Kim JY, Cha HH, Kim MJ, Chong YP, Lee SO, Choi SH, Kim YS, Woo JH, Koo YS, Jeon SB, Lee SA, Kim SH. Diagnostic Usefulness of Cytokine and Chemokine Levels in the Cerebrospinal Fluid of Patients with Suspected Tuberculous Meningitis. Am J Trop Med Hyg 2020; 101:343-349. [PMID: 31264559 DOI: 10.4269/ajtmh.18-0947] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
In this study, we investigated the diagnostic utility of the cytokine profile of the cerebrospinal fluid (CSF) and enzyme-linked immunospot (ELISPOT) assays of patients with suspected tuberculous meningitis (TBM). We prospectively enrolled adult patients with suspected TBM, and CSF specimens were analyzed for 18 cytokines/chemokines and soluble programmed death protein 1 (PD-1) and programmed death ligand 1 (PD-L1). Enzyme-linked immunospot assays were performed on mononuclear cells from the CSF (CSF-MCs) and peripheral blood (PBMCs). A total of 87 patients with meningitis, including 42 TBM-suspected patients and 45 non-TBM patients, were enrolled. Excluding the 32 patients with possible TBM, 10 patients with TBM and 45 patients with non-TBM were finally analyzed. Levels of adenosine deaminase (ADA), interleukin 12 subunit β (IL-12p40), IL-13, macrophage inflammatory protein α (MIP-1α), and soluble PD-1 and PD-L1 in the CSF were significantly higher in the TBM group than in the non-TBM group (P < 0.05). The optimal cutoff values for the sensitivities and specificities of the test methods for diagnosing TBM with small samples of 10 cases of definite or probable TBM were as follows: ADA > 6.95 U/L, 70% and 81%; IL-12p40 > 52.04 pg/mL, 80% and 73%; IL-13 > 0.44 pg/mL, 90% and 47%; MIP-1α > 8.83 pg/mL, 80% and 62%; soluble PD-1 > 35.87 pg/mL, 80% and 63%; soluble PD-L1 > 24.19 pg/mL, 80% and 61%; CSF-MC ELISPOT > 13.5 spots/250,000 CSF-MC, 30% and 91%; and PBMC ELISPOT > 14 spots/250,000 PBMCs, 50% and 78%, respectively. Therefore, CSF IL-12p40, IL-13, MIP-1α, and soluble PD-1 and PD-L1 concentrations appear to be useful adjuncts for diagnosing TBM.
Collapse
Affiliation(s)
- Ji-Soo Kwon
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Joung Ha Park
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Ji Yeun Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Hye Hee Cha
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Min-Jae Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Yong Pil Chong
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Sang-Oh Lee
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Sang-Ho Choi
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Yang Soo Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Jun Hee Woo
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Yong Seo Koo
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Sang-Beom Jeon
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Sang-Ahm Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Sung-Han Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| |
Collapse
|
13
|
Qiu X, Tang Y, Zou R, Zeng Y, Yue Y, Li W, Qu Y, Mu D. Diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: A meta-analysis. Sci Rep 2019; 9:11408. [PMID: 31388072 PMCID: PMC6684649 DOI: 10.1038/s41598-019-47923-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 07/25/2019] [Indexed: 12/21/2022] Open
Abstract
Tuberculin skin test and interferon-gamma release assay are not good at differentiating active tuberculosis from latent tuberculosis. Interferon-gamma-induced protein 10 (IP-10) has been widely used to detect tuberculosis infection. However, its values of discriminating active and latent tuberculosis is unknown. To estimate the diagnostic potential of IP-10 for differentiating active tuberculosis from latent tuberculosis, we searched PubMed, Web of Science, Embase, the Cochrane Library, CNKI, Wanfang, VIP and CBM databases. Eleven studies, accounting for 706 participants (853 samples), were included. We used a bivariate diagnostic random-effects model to conduct the primary data. The overall pooled sensitivity, specificity, negative likelihood rate, positive likelihood rate, diagnostic odds ratio and area under the summary receiver operating characteristic curve were 0.72 (95% CI: 0.68-0.76), 0.83 (95% CI: 0.79-0.87), 0.32 (95% CI: 0.22-0.46), 4.63 (95% CI: 2.79-7.69), 17.86 (95% CI: 2.89-38.49) and 0.8638, respectively. This study shows that IP-10 is a potential biomarker for differentiating active tuberculosis from latent tuberculosis.
Collapse
Affiliation(s)
- Xia Qiu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Ying Tang
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
- Ultrasonic Department, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Rong Zou
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Yan Zeng
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Yan Yue
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Wenxing Li
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Yi Qu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Dezhi Mu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China.
| |
Collapse
|
14
|
MacLean E, Broger T, Yerlikaya S, Fernandez-Carballo BL, Pai M, Denkinger CM. A systematic review of biomarkers to detect active tuberculosis. Nat Microbiol 2019; 4:748-758. [PMID: 30804546 DOI: 10.1038/s41564-019-0380-2] [Citation(s) in RCA: 118] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Accepted: 01/18/2019] [Indexed: 12/12/2022]
Abstract
Millions of cases of tuberculosis (TB) go undiagnosed each year. Better diagnostic tools are urgently needed. Biomarker-based or multiple marker biosignature-based tests, ideally performed on blood or urine, for the detection of active TB might help to meet target product profiles proposed by the World Health Organization for point-of-care testing. We conducted a systematic review to summarize evidence on proposed biomarkers and biosignatures and evaluate their quality and level of evidence. We screened the titles and abstracts of 7,631 citations and included 443 publications that fulfilled the inclusion criteria and were published in 2010-2017. The types of biomarkers identified included antibodies, cytokines, metabolic activity markers, mycobacterial antigens and volatile organic compounds. Only 47% of studies reported a culture-based reference standard and diagnostic sensitivity and specificity. Forty-four biomarkers (4%) were identified in high-quality studies and met the target product profile minimum criteria, of which two have been incorporated into commercial assays. Of the 44 highest-quality biomarkers, 24 (55%) were multiple marker biosignatures. No meta-analyses were performed owing to between-study heterogeneity. In conclusion, TB biomarker discovery studies are often poorly designed and findings are rarely confirmed in independent studies. Few markers progress to a further developmental stage. More validation studies that consider the intended diagnostic use cases and apply rigorous design are needed. The extracted data from this review are currently being used by FIND as the foundation of a dynamic database in which biomarker data and developmental status will be presented.
Collapse
Affiliation(s)
- Emily MacLean
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec, Canada
| | | | | | | | - Madhukar Pai
- McGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal, Québec, Canada
| | | |
Collapse
|
15
|
Rajamanickam A, Munisankar S, Bhootra Y, Dolla CK, Nutman TB, Babu S. Coexistent Helminth Infection-Mediated Modulation of Chemokine Responses in Latent Tuberculosis. THE JOURNAL OF IMMUNOLOGY 2019; 202:1494-1500. [PMID: 30651341 DOI: 10.4049/jimmunol.1801190] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 12/14/2018] [Indexed: 01/09/2023]
Abstract
Coexistent helminth infections are known to modulate T cell and cytokine responses in latent infection with Mycobacterium tuberculosis However, their role in modulating chemokine responses in latent tuberculosis (LTB) has not been explored. Because chemokines play a vital role in the protective immune responses in LTB, we postulated that coexistent helminth infection could modulate chemokine production in helminth-LTB coinfection. To test this, we measured the levels of a panel of CC and CXC chemokines at baseline and following mycobacterial Ag or mitogen stimulation in individuals with LTB with (Strongyloides stercoralis +LTB+) or without S. stercoralis (S. stercoralis -LTB+) infection and in individuals without both infections, healthy controls (HC). At baseline (in the absence of a stimulus), S. stercoralis +LTB+ individuals exhibited significantly diminished production of CCL1, CCL2, CCL4, CCL11, CXCL9, CXCL10, and CXCL11 in comparison with S. stercoralis -LTB+ and/or HC individuals. Upon mycobacterial Ag stimulation, S. stercoralis +LTB+ individuals exhibited significantly diminished production of CCL1, CCL2, CCL4, CCL11, CXCL2, CXCL9, and CXCL10 in comparison with S. stercoralis -LTB+ and/or HC individuals. No differences were observed upon mitogen stimulation. Finally, after anthelmintic treatment, the baseline levels of CCL1, CCL2, CCL4, CCL11, and CXCL11 and mycobacterial Ag-stimulated levels of CCL1, CCL2, CCL11, CXCL2, and CXCL10 were significantly increased in S. stercoralis +LTB+ individuals. Thus, our data demonstrate that S. stercoralis +LTB+ individuals are associated with a compromised ability to express both CC and CXC chemokines and that this defect is at least partially reversible upon treatment. Hence, coexistent helminth infection induces downmodulation of chemokine responses in LTB individuals with likely potential effects on tuberculosis pathogenesis.
Collapse
Affiliation(s)
- Anuradha Rajamanickam
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India 600031
| | - Saravanan Munisankar
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India 600031
| | - Yukthi Bhootra
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India 600031
| | | | - Thomas B Nutman
- Laboratory of Parasitic Diseases, National Institute for Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892
| | - Subash Babu
- National Institutes of Health-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India 600031; .,Laboratory of Parasitic Diseases, National Institute for Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892
| |
Collapse
|
16
|
Santos VS, Goletti D, Kontogianni K, Adams ER, Molina-Moya B, Dominguez J, Crudu V, Martins-Filho PRS, Ruhwald M, Lawson L, Bimba JS, Garcia-Basteiro AL, Petrone L, Kabeer BS, Reither K, Cuevas LE. Acute phase proteins and IP-10 as triage tests for the diagnosis of tuberculosis: systematic review and meta-analysis. Clin Microbiol Infect 2018; 25:169-177. [PMID: 30076971 DOI: 10.1016/j.cmi.2018.07.017] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 06/26/2018] [Accepted: 07/18/2018] [Indexed: 01/23/2023]
Abstract
OBJECTIVES We examined the data reported in studies for diagnostic purposes and to discuss whether their intended use could be extended to triage, as rule-in or rule-out tests to select individuals who should undergo further confirmatory tests. METHODS We searched Scopus, PubMed and Web of Science with the terms 'acute phase proteins,' 'IP-10,' 'tuberculosis,' 'screening' and 'diagnosis,' extracted the sensitivity and specificity of the biomarkers and explored methodologic differences to explain performance variations. Summary estimates were calculated using random-effects models for overall pooled accuracy. The hierarchical summary receiver operating characteristic model was used for meta-analysis. RESULTS We identified 14, four and one studies for C-reactive protein (CRP), interferon γ-induced protein 10 (IP-10) and alpha-1-acid glycoprotein (AGP). The pooled CRP sensitivity/specificity (95% confidence interval) was 89% (80-96) and 57% (36-65). Sensitivity/specificity were higher in high-tuberculosis-burden countries (90%/64%), HIV-infected individuals (91%/61%) and community-based studies (90%/62%). IP-10 sensitivity/specificity in TB vs. non-TB studies was 85%/63% and in TB and HIV coinfected vs. other lung conditions 94%/21%. However, IP-10 studies included diverse populations and a high risk of bias, resulting in very low-quality evidence. AGP had 86%/93% sensitivity/specificity. CONCLUSIONS Few studies have evaluated CRP, IP-10 and AGP for the triage of symptomatic patients. Their high sensitivity and moderate specificity warrant further prospective studies exploring whether their combined use could optimize performance.
Collapse
Affiliation(s)
- V S Santos
- Centre for Epidemiology and Public Health, Federal University of Alagoas, Arapiraca, Brazil
| | - D Goletti
- Department of Clinical and Clinical Research, 'L. Spallanzani' National Institute for Infectious Diseases (INMI), IRCCS, Rome, Italy
| | - K Kontogianni
- Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - E R Adams
- Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - B Molina-Moya
- Servei de Microbiologia, Hospital Universitari Germans Trias i Pujol, Institut d'Investigació Germans Trias i Pujol, Universitat Autònoma de Barcelona, Carretera del Canyet s/n, 08916, Badalona, Spain
| | - J Dominguez
- Servei de Microbiologia, Hospital Universitari Germans Trias i Pujol, Institut d'Investigació Germans Trias i Pujol, Universitat Autònoma de Barcelona, Carretera del Canyet s/n, 08916, Badalona, Spain
| | - V Crudu
- National TB Reference Laboratory, Phthisiopneumology Institute 'Chiril Draganiuc,' Chişinău, Republic of Moldova
| | - P R S Martins-Filho
- Investigative Pathology Laboratory, Federal University of Sergipe, Aracaju, Brazil
| | - M Ruhwald
- Center for Vaccine Research, Statens Serum Institut, Copenhagen, Denmark
| | - L Lawson
- Zankli Research Laboratory, Bingham University, Nassarawa State, Nigeria
| | - J S Bimba
- Zankli Research Laboratory, Bingham University, Nassarawa State, Nigeria
| | - A L Garcia-Basteiro
- Centro de Investigação em Saude de Manhiça (CISM), Rua 12, Cambeve CP 1929, Maputo, Mozambique; Amsterdam Institute for Global Health (AIGHD), Amsterdam, The Netherlands; Barcelona Institute for Global Health (ISGLobal), Barcelona, Spain
| | - L Petrone
- Department of Clinical and Clinical Research, 'L. Spallanzani' National Institute for Infectious Diseases (INMI), IRCCS, Rome, Italy
| | - B S Kabeer
- Department of Clinical and Clinical Research, 'L. Spallanzani' National Institute for Infectious Diseases (INMI), IRCCS, Rome, Italy
| | - K Reither
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - L E Cuevas
- Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
| |
Collapse
|
17
|
Sivro A, McKinnon LR, Yende-Zuma N, Gengiah S, Samsunder N, Abdool Karim SS, Naidoo K. Plasma Cytokine Predictors of Tuberculosis Recurrence in Antiretroviral-Treated Human Immunodeficiency Virus-infected Individuals from Durban, South Africa. Clin Infect Dis 2018; 65:819-826. [PMID: 29017282 DOI: 10.1093/cid/cix357] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 04/21/2017] [Indexed: 12/22/2022] Open
Abstract
Background Immune correlates of tuberculosis (TB) risk in populations infected with human immunodeficiency virus (HIV) remain understudied, despite HIV being associated with a high burden of TB disease. Here we describe plasma cytokine correlates of TB recurrence in a well-characterized cohort of HIV-infected individuals on antiretroviral therapy (ART) with a history of prior TB cure. Methods Study participants were drawn from a prospective cohort study initiated at the conclusion of a randomized clinical trial in which individuals presented with untreated HIV infection and active pulmonary TB. At baseline, ART was initiated, and TB successfully cured. Participants were screened for TB recurrence quarterly for up to 4 years. TB recurrent cases (n = 63) were matched to controls (n = 123) on sex, study arm assignment in the original trial, and month of enrollment with a subset of cases sampled longitudinally at several time-points. Results Three cytokines were associated with increased rates of TB recurrence in univariate models: interleukin 6 (IL6) (odds ratio [OR] 2.66, 95% confidence interval [CI] 1.34-5.28, P = .005), IP10 (OR 4.62, 95% CI 1.69-12.65, P = .003), monokine induced by IFN-γ (MIG) (OR 3.11, 95% CI 1.10-8.82, P = .034). Conversely, interferon β (IFNβ) was associated with decreased TB risk (OR 0.34, 95% CI 0.13-0.87, P = .025). Following multivariate analyses adjusting for covariates IL6, interleukin 1β (IL1β), and interleukin 1Rα (IL1Rα) were associated with increased risk and IFNβ with decreased TB risk. Longitudinal analysis showed that levels of many TB-associated markers, including IL6, IP10, sCD14, and interferon γ (IFNγ) are reduced following TB treatment. Conclusion These data show that TB recurrence, in HIV-infected individuals on ART is predicted by biomarkers of systemic inflammation, many of which are implicated in more rapid HIV disease progression. Clinical Trials Registration NCT 01539005.
Collapse
Affiliation(s)
- Aida Sivro
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban.,Department of Medical Microbiology, University of Manitoba, Winnipeg, Canada
| | - Lyle R McKinnon
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban.,Department of Medical Microbiology, University of Manitoba, Winnipeg, Canada
| | - Nonhlanhla Yende-Zuma
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Santhana Gengiah
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban
| | - Natasha Samsunder
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban
| | - Salim S Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.,Department of Epidemiology, Columbia University, New York
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
| |
Collapse
|
18
|
Wilkinson RJ, Rohlwink U, Misra UK, van Crevel R, Mai NTH, Dooley KE, Caws M, Figaji A, Savic R, Solomons R, Thwaites GE. Tuberculous meningitis. Nat Rev Neurol 2017; 13:581-598. [PMID: 28884751 DOI: 10.1038/nrneurol.2017.120] [Citation(s) in RCA: 303] [Impact Index Per Article: 37.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Tuberculosis remains a global health problem, with an estimated 10.4 million cases and 1.8 million deaths resulting from the disease in 2015. The most lethal and disabling form of tuberculosis is tuberculous meningitis (TBM), for which more than 100,000 new cases are estimated to occur per year. In patients who are co-infected with HIV-1, TBM has a mortality approaching 50%. Study of TBM pathogenesis is hampered by a lack of experimental models that recapitulate all the features of the human disease. Diagnosis of TBM is often delayed by the insensitive and lengthy culture technique required for disease confirmation. Antibiotic regimens for TBM are based on those used to treat pulmonary tuberculosis, which probably results in suboptimal drug levels in the cerebrospinal fluid, owing to poor blood-brain barrier penetrance. The role of adjunctive anti-inflammatory, host-directed therapies - including corticosteroids, aspirin and thalidomide - has not been extensively explored. To address this deficit, two expert meetings were held in 2009 and 2015 to share findings and define research priorities. This Review summarizes historical and current research into TBM and identifies important gaps in our knowledge. We will discuss advances in the understanding of inflammation in TBM and its potential modulation; vascular and hypoxia-mediated tissue injury; the role of intensified antibiotic treatment; and the importance of rapid and accurate diagnostics and supportive care in TBM.
Collapse
Affiliation(s)
- Robert J Wilkinson
- Department of Medicine, Imperial College London, Norfolk Place, London W2 1PG, UK
- The Francis Crick Institute, Midland Road, London NW1 2AT, UK
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine and Department of Medicine, University of Cape Town, Republic of South Africa
| | - Ursula Rohlwink
- Division of Neurosurgery, University of Cape Town, Anzio Road, Observatory 7925, Republic of South Africa
| | - Usha Kant Misra
- Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Rae Bareli Road, Lucknow, Uttar Pradesh 226014, India
| | - Reinout van Crevel
- Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands
| | - Nguyen Thi Hoang Mai
- Oxford University Clinical Research Unit, 764 Vo Van Kiet, Quan 5, Ho Chi Minh City, Vietnam
| | - Kelly E Dooley
- Johns Hopkins University School of Medicine, The Johns Hopkins Hospital, 1800 Orleans Street, Baltimore, Maryland 21287, USA
| | - Maxine Caws
- Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, UK
| | - Anthony Figaji
- Division of Neurosurgery, University of Cape Town, Anzio Road, Observatory 7925, Republic of South Africa
| | - Rada Savic
- UCSF School of Pharmacy, Department, Bioengineering, 1700 4th Street, San Francisco, California 94158, UA
| | - Regan Solomons
- Faculty of Health Sciences, Stellenbosch University, Tygerberg Hospital, Francie van Zijl Drive, Tygerberg 7505, Cape Town, Republic of South Africa
| | - Guy E Thwaites
- Oxford University Clinical Research Unit, 764 Vo Van Kiet, Quan 5, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Old Road, Oxford OX3 9FZ, UK
| |
Collapse
|
19
|
Park S, Baek SH, Cho SN, Jang YS, Kim A, Choi IH. Unique Chemokine Profiles of Lung Tissues Distinguish Post-chemotherapeutic Persistent and Chronic Tuberculosis in a Mouse Model. Front Cell Infect Microbiol 2017; 7:314. [PMID: 28752079 PMCID: PMC5508001 DOI: 10.3389/fcimb.2017.00314] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 06/26/2017] [Indexed: 01/11/2023] Open
Abstract
There is a substantial need for biomarkers to distinguish latent stage from active Mycobacterium tuberculosis infections, for predicting disease progression. To induce the reactivation of tuberculosis, we present a new experimental animal model modified based on the previous model established by our group. In the new model, the reactivation of tuberculosis is induced without administration of immunosuppressive agents, which might disturb immune responses. To identify the immunological status of the persistent and chronic stages, we analyzed immunological genes in lung tissues from mice infected with M. tuberculosis. Gene expression was screened using cDNA microarray analysis and confirmed by quantitative RT-PCR. Based on the cDNA microarray results, 11 candidate cytokines genes, which were obviously up-regulated during the chronic stage compared with those during the persistent stage, were selected and clustered into three groups: (1) chemokine genes, except those of monocyte chemoattractant proteins (MCPs; CXCL9, CXCL10, CXCL11, CCL5, CCL19); (2) MCP genes (CCL2, CCL7, CCL8, CCL12); and (3) TNF and IFN-γ genes. Results from the cDNA microarray and quantitative RT-PCR analyses revealed that the mRNA expression of the selected cytokine genes was significantly higher in lung tissues of the chronic stage than of the persistent stage. Three chemokines (CCL5, CCL19, and CXCL9) and three MCPs (CCL7, CCL2, and CCL12) were noticeably increased in the chronic stage compared with the persistent stage by cDNA microarray (p < 0.01, except CCL12) or RT-PCR (p < 0.01). Therefore, these six significantly increased cytokines in lung tissue from the mouse tuberculosis model might be candidates for biomarkers to distinguish the two disease stages. This information can be combined with already reported potential biomarkers to construct a network of more efficient tuberculosis markers.
Collapse
Affiliation(s)
- Soomin Park
- Department of Microbiology, Institute for Immunology and Immunological Diseases, and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of MedicineSeoul, South Korea
| | - Seung-Hun Baek
- Department of Microbiology, Institute for Immunology and Immunological Diseases, and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of MedicineSeoul, South Korea
| | - Sang-Nae Cho
- Department of Microbiology, Institute for Immunology and Immunological Diseases, and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of MedicineSeoul, South Korea
| | - Young-Saeng Jang
- Department of Microbiology, Institute for Immunology and Immunological Diseases, and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of MedicineSeoul, South Korea
| | - Ahreum Kim
- Department of Microbiology, Institute for Immunology and Immunological Diseases, and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of MedicineSeoul, South Korea
| | - In-Hong Choi
- Department of Microbiology, Institute for Immunology and Immunological Diseases, and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of MedicineSeoul, South Korea
| |
Collapse
|
20
|
Tong X, Lu H, Yu M, Wang G, Han C, Cao Y. Diagnostic value of interferon-γ-induced protein of 10kDa for tuberculous pleurisy: A meta-analysis. Clin Chim Acta 2017; 471:143-149. [PMID: 28577960 DOI: 10.1016/j.cca.2017.05.034] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 05/30/2017] [Indexed: 02/01/2023]
Abstract
BACKGROUND The accurate diagnosis of tuberculous pleurisy is still a clinical challenge. Many studies reported that interferon-γ-induced protein of 10kDa (IP-10) plays a role in diagnosing tuberculous pleurisy, but with considerable variance of results. This meta-analysis aimed to evaluate the overall diagnostic accuracy of IP-10 for tuberculous pleurisy. METHODS PubMed, EMBASE, and other databases were searched for studies examining accuracy of pleural IP-10 for diagnosing tuberculous pleurisy. Related data were extracted and sensitivity/specificity, positive/negative likelihood ratio (PLR/NLR), and diagnostic odds ratio (DOR) were pooled. Summary receiver operating characteristic curve and area under the curve (AUC) were performed and calculated to summarize the overall test performance. RESULTS Fourteen studies involving 1382 subjects met inclusion criteria, including 715 cases of tuberculous pleurisy and 667 controls. Summary estimates of the diagnostic performance of the IP-10 for tuberculous pleurisy were listed as follows: sensitivity, 0.84 (95%CI 0.81 to 0.87); specificity, 0.90 (95% CI 0.88 to 0.92); PLR, 7.96 (95% CI 5.59 to 11.32); NLR, 0.19 (95% CI 0.15 to 0.24); DOR, 49.82 (95% CI 28.08 to 88.38); and AUC 0.94. No publication bias was detected. CONCLUSION Pleural IP-10 is a useful diagnostic marker for tuberculous pleurisy. Nevertheless, its result should be interpreted together with the results of conventional test and clinical information of patients.
Collapse
Affiliation(s)
- Xiaomeng Tong
- Department of Laboratory Medicine and Department of Blood transfusion, China-Japan Friendship Hospital, Beijing 100029, China
| | - Hongkai Lu
- Department of Laboratory Medicine and Department of Blood transfusion, China-Japan Friendship Hospital, Beijing 100029, China
| | - Min Yu
- Department of Laboratory Medicine and Department of Blood transfusion, China-Japan Friendship Hospital, Beijing 100029, China
| | - Guozhen Wang
- Department of Laboratory Medicine and Department of Blood transfusion, China-Japan Friendship Hospital, Beijing 100029, China
| | - Chengwu Han
- Department of Laboratory Medicine and Department of Blood transfusion, China-Japan Friendship Hospital, Beijing 100029, China.
| | - Yongtong Cao
- Department of Laboratory Medicine and Department of Blood transfusion, China-Japan Friendship Hospital, Beijing 100029, China.
| |
Collapse
|
21
|
Porcel JM. Advances in the diagnosis of tuberculous pleuritis. ANNALS OF TRANSLATIONAL MEDICINE 2016; 4:282. [PMID: 27570776 DOI: 10.21037/atm.2016.07.23] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Pleural tuberculosis (TB) remains difficult to diagnose. In about two-thirds of the cases the diagnosis is reliant upon clinical suspicion along with consistent fluid biochemistries (i.e., lymphocytic predominant exudates) and exclusion of other potential causes for the effusion. Microbiological methods for a confirmatory diagnosis of pleural TB, which include acid-fast smears (Ziehl-Nelseen), cultures on solid media (Lowenstein-Jensen) and polymerase chain reaction tests from either pleural fluid or sputum samples, remain suboptimal since they are positive in only a minority of patients. Liquid media, however, significantly increase sensitivity while shortening culture positivity as compared with solid cultures. A number of pleural fluid biomarkers such as adenosine deaminase (ADA), interferon-Ƴ, interferon-Ƴ-induced protein of 10 KDa (IP-10) and interleukin-27 (IL-27), have shown promise for the rapid diagnosis of TB, but only ADA combines the accuracy and simplicity required to be considered a mainstay investigative tool for clinical decisions, particularly in areas with medium to high TB prevalence. In countries where ADA is not available, pleural biopsies to evaluate for caseating granulomas are a standard diagnostic approach. They are now frequently performed under ultrasound guidance to optimize yield and patient safety.
Collapse
Affiliation(s)
- José M Porcel
- Pleural Medicine Unit, Department of Internal Medicine, Arnau de Vilanova University Hospital, Institut for Biomedical Research Dr Pifarre Foundation, Lleida, Spain
| |
Collapse
|
22
|
Choi R, Kim K, Kim MJ, Kim SY, Kwon OJ, Jeon K, Park HY, Jeong BH, Shin SJ, Koh WJ, Lee SY. Serum inflammatory profiles in pulmonary tuberculosis and their association with treatment response. J Proteomics 2016; 149:23-30. [PMID: 27321581 DOI: 10.1016/j.jprot.2016.06.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Revised: 05/20/2016] [Accepted: 06/10/2016] [Indexed: 12/20/2022]
Abstract
The aim of this study was to evaluate serum cytokines and natural antimicrobial peptide profiles in pulmonary tuberculosis, and compare them with levels in controls without tuberculosis, to explore the associations between these biomarkers and response to antituberculosis treatment. Serum levels of 10 biomarkers were measured using a Luminex bead array platform. Tuberculosis biosignatures were identified from the discovery cohort (n=148) and were validated in the independent cohort (n=148). Association between biosignatures and clinical outcome was investigated with negative conversion in follow-up sputum culture after 2months of treatment. Serum concentrations of eotaxin, MIP-1α, sIL-2Rα, and lipocalin 2 were significantly different between pulmonary tuberculosis patients and controls (P<0.05). Serum concentrations of eotaxin and sIL-2Rα were higher in pulmonary tuberculosis patients than in controls, while those of MIP-1α and lipocalin 2 were lower (P<0.05). Eotaxin concentrations were significantly higher in good responders to treatment (P<0.05), indicating this immunomolecule may serve as a positive predictor for therapy response in pulmonary tuberculosis. The magnitude serum eotaxin, MIP-1α, sIL-2Rα, and lipocalin 2 are important indicators for pulmonary tuberculosis. These biomarkers alone or combinatorial detections have potential applicability in monitoring tuberculosis patients during antituberculosis treatment. SIGNIFICANCE Cytokines and endogenous antimicrobial peptides represent an important part of immune system and the identification of a pattern of differentially expressed those biomarkers (a "biosignature") could help to differentiate tuberculosis infection from the non-infected state which might eventually assist case identification and accelerate access to treatment. In this direction, cytokine analysis including multiple serum biomarkers to evaluate biosignatures of pulmonary tuberculosis would provide basic knowledge to aid understanding of the pathophysiology of tuberculosis infection and for the development of future diagnostic methods, treatments, and monitoring for pulmonary tuberculosis.
Collapse
Affiliation(s)
- Rihwa Choi
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Kyunga Kim
- Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, Republic of Korea.
| | - Min-Ji Kim
- Biostatistics Team, Samsung Biomedical Research Institute, Seoul, Republic of Korea.
| | - Su-Young Kim
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - O Jung Kwon
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Kyeongman Jeon
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Hye Yun Park
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Byeong-Ho Jeong
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Sung Jae Shin
- Department of Microbiology, Institute for Immunology and Immunological Diseases, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Won-Jung Koh
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Soo-Youn Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| |
Collapse
|
23
|
Profiling the human immune response to Mycobacterium tuberculosis by human cytokine array. Tuberculosis (Edinb) 2016; 97:108-17. [PMID: 26980502 DOI: 10.1016/j.tube.2015.12.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 12/26/2015] [Indexed: 11/23/2022]
Abstract
OBJECT Tuberculosis (TB) continues to be one of the most serious infectious diseases in the world, however, no effective biomarkers can be used for rapid screening of latent tuberculosis infection (LTBI) and active TB. In this study, serum cytokines were screened and tested as potential biomarker for TB diagnosis. METHOD Cytokine array was used to track the cytokine profile and its dynamic change after TB infection. The different expressions of cytokines were confirmed by ELISA assay. ROC curve analyses were used to evaluate the efficacy of a cytokine or cytokine combination for diagnosis. RESULTS Eotaxin-2, ICAM-1, MCSF, IL-12p70, and IL-11 were significantly higher in the LTBI individuals. I-309, MIG, Eotaxin-2, IL-8, ICAM-1, IL-6sR, and Eotaxin were significantly higher in active TB patients. ROC curve analyses gave AUCs of 0.843, 0.898, and 0.888 for I-309, MIG, and IL-8, respectively, and 0.894 for the combination panel in active TB diagnosis. IFN-γ/IL-4 and IL-2/TNF-α ratios exhibit dynamic changes in the healthy control and LTBI to different stages of active TB. CONCLUSIONS Serum cytokines, including I-309 and MIG, IL-8, Extoxin-2, ICAM-1 and combinations of cytokines, including IFN-γ/IL-4 and IL-2/TNF-α, can be used as serum biomarkers for LTBI and active TB screening, thus indicating prospective clinical applications.
Collapse
|
24
|
Yang Q, Xu Q, Chen Q, Li J, Zhang M, Cai Y, Liu H, Zhou Y, Deng G, Deng Q, Zhou B, Kornfeld H, Chen X. Discriminating Active Tuberculosis from Latent Tuberculosis Infection by flow cytometric measurement of CD161-expressing T cells. Sci Rep 2015; 5:17918. [PMID: 26643453 PMCID: PMC4672319 DOI: 10.1038/srep17918] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Accepted: 11/03/2015] [Indexed: 01/19/2023] Open
Abstract
Interferon-gamma Release Assays (IGRAs) significantly increases the possibility for early diagnosis of tuberculosis, but IGRAs alone cannot discriminate active TB from LTBI. Therefore, fast and reliable discrimination of active tuberculosis, especially bacteriology negative tuberculosis, from LTBI is a great necessity. Here we established an assay based on flow cytometric multiparameter assay assessing expression of CD161 along with CD3, CD4, and CD8, whereby a set of indices formulated by the percentages of CD3+CD161+, CD3+CD4+CD161+ and CD3+CD8+CD161+ T cells multiplied with lymphocyte/monocyte ratio were established. Application of the CD3+CD8+CD161+ index to compare a cohort of active tuberculosis with a cohort of LTBI or health control yielded 0.7662 (95% confidence interval [CI] 0.6559–0.8552) or 0.7922 (95% CI 0.6846–0.8763) for sensitivity and 0.9048 (95% CI 0.8209–0.9580) or 0.8939 (95% CI 0.8392–0.9349) for specificity when the TB cohort was AFB+; the corresponding results were 0.7481 (95% CI 0.6648–0.8198) or 0.7557 (95% CI 0.6730–0.8265) for sensitivity and 0.8571 (95% CI 0.7637–0.9239) or 0.8603 (95% CI 0.8008–0.9075) for specificity when the TB cohort was AFB−. Our results reveal that in combination with IGRAs, CD161-based indices provide a novel, fast diagnostic solution addressing the limitation of current tuberculosis diagnostics.
Collapse
Affiliation(s)
- Qianting Yang
- Guangdong (Shenzhen) Key Laboratory for Diagnosis &Treatment of Emerging Infectious Diseases.,Shenzhen Key Laboratory of Infection &Immunity, Shenzhen Third People's Hospital, Guangdong Medical College, China
| | - Qian Xu
- Guangdong (Shenzhen) Key Laboratory for Diagnosis &Treatment of Emerging Infectious Diseases.,Shenzhen Key Laboratory of Infection &Immunity, Shenzhen Third People's Hospital, Guangdong Medical College, China.,Institute of Microbiology, Chinese Academy of Sciences, China
| | - Qi Chen
- Shenzhen Key Laboratory of Infection &Immunity, Shenzhen Third People's Hospital, Guangdong Medical College, China
| | - Jin Li
- Guangdong (Shenzhen) Key Laboratory for Diagnosis &Treatment of Emerging Infectious Diseases.,Shenzhen Key Laboratory of Infection &Immunity, Shenzhen Third People's Hospital, Guangdong Medical College, China
| | - Mingxia Zhang
- Guangdong (Shenzhen) Key Laboratory for Diagnosis &Treatment of Emerging Infectious Diseases.,Shenzhen Key Laboratory of Infection &Immunity, Shenzhen Third People's Hospital, Guangdong Medical College, China
| | - Yi Cai
- Guangdong (Shenzhen) Key Laboratory for Diagnosis &Treatment of Emerging Infectious Diseases
| | - Haiying Liu
- Institute of Pathogen Biology, Chinese Academy of Medical Sciences, China
| | - Yiping Zhou
- Department of Respiratory Diseases, Shenzhen Futian Hospital, China
| | - Guofang Deng
- Guangdong (Shenzhen) Key Laboratory for Diagnosis &Treatment of Emerging Infectious Diseases
| | - Qunyi Deng
- Shenzhen Key Laboratory of Infection &Immunity, Shenzhen Third People's Hospital, Guangdong Medical College, China
| | - Boping Zhou
- Guangdong (Shenzhen) Key Laboratory for Diagnosis &Treatment of Emerging Infectious Diseases
| | - Hardy Kornfeld
- Department of Medicine, University of Massachusetts Medical School, USA
| | - Xinchun Chen
- Guangdong (Shenzhen) Key Laboratory for Diagnosis &Treatment of Emerging Infectious Diseases.,Shenzhen Key Laboratory of Infection &Immunity, Shenzhen Third People's Hospital, Guangdong Medical College, China
| |
Collapse
|