985 results on '"Scriba, Thomas"'
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2. BACH1 promotes tissue necrosis and Mycobacterium tuberculosis susceptibility
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Amaral, Eduardo P., Namasivayam, Sivaranjani, Queiroz, Artur T. L., Fukutani, Eduardo, Hilligan, Kerry L., Aberman, Kate, Fisher, Logan, Bomfim, Caio Cesar B., Kauffman, Keith, Buchanan, Jay, Santuo, Leslie, Gazzinelli-Guimaraes, Pedro Henrique, Costa, Diego L., Teixeira, Mariane Araujo, Barreto-Duarte, Beatriz, Rocha, Clarissa Gurgel, Santana, Monique Freire, Cordeiro-Santos, Marcelo, Barber, Daniel L., Wilkinson, Robert J., Kramnik, Igor, Igarashi, Kazuhiko, Scriba, Thomas, Mayer-Barber, Katrin D., Andrade, Bruno B., and Sher, Alan
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- 2024
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3. Target product profiles: tests for tuberculosis treatment monitoring and optimization/ Profils de produits cibles: essais pour le suivi et l'optimisation du traitement de la tuberculose/ Perfiles de productos objetivo: pruebas para el seguimiento y la optimizacion del tratamiento de la tuberculosis
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Gupta-Wright, Ankur, den Boon, Saskia, MacLean, Emily L., Cirillo, Daniela, Cobelens, Frank, Gillespie, Stephen H., Kohli, Mikashmi, Ruhwald, Morten, Savic, Rada, Brigden, Grania, Gidado, Mustapha, Goletti, Delia, Hanna, Debra, Hasan, Rumina, Hewison, Cathy, Koura, Kobto G., Lienhardt, Christian, Lungu, Patrick, McHugh, Timothy D., McKenna, Lindsay, Scott, Cherise, Scriba, Thomas, Sekaggya-Wiltshire, Christine, Kasaeva, Tereza, Zignol, Matteo, Denkinger, Claudia M., and Falzon, Dennis
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Cost benefit analysis -- Surveys ,Tuberculosis -- Surveys ,Public health -- Surveys ,Cost benefit analysis ,Health ,World Health Organization -- Surveys - Abstract
The World Health Organization has developed target product profiles containing minimum and optimum targets for key characteristics for tests for tuberculosis treatment monitoring and optimization. Tuberculosis treatment optimization refers to initiating or switching to an effective tuberculosis treatment regimen that results in a high likelihood of a good treatment outcome. The target product profiles also cover tests of cure conducted at the end of treatment. The development of the target product profiles was informed by a stakeholder survey, a cost-effectiveness analysis and a patient-care pathway analysis. Additional feedback from stakeholders was obtained by means of a Delphi-like process, a technical consultation and a call for public comment on a draft document. A scientific development group agreed on the final targets in a consensus meeting. For characteristics rated of highest importance, the document lists: (i) high diagnostic accuracy (sensitivity and specificity); (ii) time to result of optimally [less than or equal to] 2 hours and no more than 1 day; (iii) required sample type to be minimally invasive, easily obtainable, such as urine, breath, or capillary blood, or a respiratory sample that goes beyond sputum; (iv) ideally the test could be placed at a peripheral-level health facility without a laboratory; and (v) the test should be affordable to low- and middle-income countries, and allow wide and equitable access and scale-up. Use of these target product profiles should facilitate the development of new tuberculosis treatment monitoring and optimization tests that are accurate and accessible for all people being treated for tuberculosis. L'Organisation mondiale de la sante a elabore des profils de produits cibles contenant des cibles minimales et optimales pour les caracteristiques principales des essais destines au suivi et a l'optimisation du traitement de la tuberculose. L'optimisation du traitement de la tuberculose fait reference a l'instauration d'un regime de traitement efficace de la tuberculose ou a l'adoption d'un tel regime, avec une probabilite elevee d'obtenir de bons resultats therapeutiques. Les profils de produits cibles couvrent egalement les essais de guerison effectues a l'issue du traitement. Les profils de produits cibles ont ete elabores sur la base d'un sondage aupres des parties prenantes, d'une analyse cout-efficacite et d'une analyse du parcours de soins du patient. Des retours supplementaires des parties prenantes ont ete obtenus au moyen d'un processus cree selon la methode Delphi, d'une consultation technique et d'un appel a commentaires publics sur un projet de document. Un groupe d'elaboration scientifique s'est mis d'accord sur les objectifs finaux lors d'une reunion de concertation. En ce qui concerne les caracteristiques jugees les plus importantes, le document enumere ce qui suit: (i) une grande precision diagnostique (sensibilite et specificite); (ii) un delai ideal d'obtention des resultats [less than or equal to] 2 heures et au maximum de 1 jour; (iii) le type d'echantillon requis doit etre peu invasif et facile a obtenir, comme l'urine, l'haleine ou le sang capillaire, ou bien un echantillon respiratoire au-dela des expectorations; (iv) idealement, l'essai pourrait avoir lieu dans un etablissement de sante peripherique sans laboratoire ; et (v) l'essai devrait etre abordable pour les pays a revenu faible et intermediaire et permettre un acces large et equitable ainsi qu'une mise a l'echelle. L'utilisation de ces profils de produits cibles devrait faciliter la mise au point de nouveaux essais de surveillance et d'optimisation du traitement de la tuberculose qui soient precis et accessibles a toutes les personnes suivant un traitement pour la tuberculose. La Organizacion Mundial de la Salud ha elaborado perfiles de productos objetivo que contienen objetivos minimos y optimos para las caracteristicas principales de las pruebas de seguimiento y optimizacion del tratamiento de la tuberculosis. La optimizacion del tratamiento de la tuberculosis consiste en iniciar o cambiar a un regimen eficaz de tratamiento de la tuberculosis que ofrezca una alta probabilidad de un buen resultado terapeutico. Los perfiles de productos objetivo tambien abarcan las pruebas de curacion realizadas al final del tratamiento. La elaboracion de los perfiles de los productos objetivo se baso en una encuesta a las partes interesadas, un analisis de rentabilidad y un analisis de la via de atencion al paciente. Se obtuvo informacion adicional de las partes interesadas mediante un proceso tipo Delphi, una consulta tecnica y una convocatoria de comentarios publicos sobre un borrador del documento. Un grupo de desarrollo cientifico acordo los objetivos finales en una reunion de consenso. Para las caracteristicas clasificadas de mayor importancia, el documento enumera: (i) alta precision diagnostica (sensibilidad y especificidad); (ii) tiempo hasta el resultado de optimamente [less than or equal to] 2 horas y no mas de 1 dia; (iii) el tipo de muestra requerida debe ser minimamente invasiva, facil de obtener, como orina, aliento o sangre capilar, o una muestra respiratoria que vaya mas alla del esputo; (iv) idealmente la prueba podria realizarse en un centro sanitario periferico sin laboratorio; y (v) la prueba debe ser asequible para los paises de ingresos bajos y medios y permitir un acceso amplio y equitativo y su expansion. El uso de estos perfiles de producto objetivo deberia facilitar el desarrollo de pruebas nuevas de seguimiento y optimizacion del tratamiento de la tuberculosis que sean precisas y accesibles para todas las personas que reciben tratamiento antituberculoso. [phrase omitted], Introduction Tuberculosis continues to be a major cause of morbidity and mortality globally, despite being curable and preventable. In 2021, an estimated 10.6 million people had tuberculosis disease and 1.6 [...]
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- 2023
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4. Classification of early tuberculosis states to guide research for improved care and prevention: an international Delphi consensus exercise
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Alland, David, Behr, Marcel A, Beko, Busisiwe B, Burhan, Erlina, Churchyard, Gavin, Cobelens, Frank, Denholm, Justin T, Dinkele, Ryan, Ellner, Jerrold J, Fatima, Razia, Haigh, Kate A, Hatherill, Mark, Horton, Katherine C, Kendall, Emily A, Khan, Palwasha Y, MacPherson, Peter, Malherbe, Stephanus T, Mave, Vidya, Mendelsohn, Simon C, Musvosvi, Munyaradzi, Nemes, Elisa, Penn-Nicholson, Adam, Ramamurthy, Dharanidharan, Rangaka, Molebogeng X, Sahu, Suvanand, Schwalb, Alvaro, Shah, Divya K, Sheerin, Dylan, Simon, Donald, Steyn, Adrie J C, Thu Anh, Nguyen, Walzl, Gerhard, Weller, Charlotte L, Williams, Caroline ML, Wong, Emily B, Wood, Robin, Xie, Yingda L, Yi, Siyan, Coussens, Anna K, Zaidi, Syed M A, Allwood, Brian W, Dewan, Puneet K, Gray, Glenda, Kohli, Mikashmi, Kredo, Tamara, Marais, Ben J, Marks, Guy B, Martinez, Leo, Ruhwald, Morten, Scriba, Thomas J, Seddon, James A, Tisile, Phumeza, Warner, Digby F, Wilkinson, Robert J, Esmail, Hanif, and Houben, Rein M G J
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- 2024
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5. Neutrophil degranulation, NETosis and platelet degranulation pathway genes are co-induced in whole blood up to six months before tuberculosis diagnosis
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Meier, Stuart, Seddon, James A, Maasdorp, Elizna, Kleynhans, Léanie, du Plessis, Nelita, Loxton, Andre G, Malherbe, Stephanus T, Zak, Daniel E, Thompson, Ethan, Duffy, Fergal J, Kaufmann, Stefan HE, Ottenhoff, Tom HM, Scriba, Thomas J, Suliman, Sara, Sutherland, Jayne S, Winter, Jill, Kuivaniemi, Helena, Walzl, Gerhard, Tromp, Gerard, Consortium, GC6-74, and Consortium, Catalysis TB Biomarkers
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Biomedical and Clinical Sciences ,Clinical Sciences ,Lung ,Infectious Diseases ,Rare Diseases ,Clinical Research ,Tuberculosis ,Genetics ,Detection ,screening and diagnosis ,Aetiology ,4.1 Discovery and preclinical testing of markers and technologies ,2.1 Biological and endogenous factors ,Infection ,Good Health and Well Being ,Humans ,Neutrophils ,Positron Emission Tomography Computed Tomography ,Neutrophil Activation ,Mycobacterium tuberculosis ,Tuberculosis ,Lymph Node ,GC6-74 Consortium ,Catalysis TB Biomarkers Consortium ,General Science & Technology - Abstract
Mycobacterium tuberculosis (M.tb) causes tuberculosis (TB) and remains one of the leading causes of mortality due to an infectious pathogen. Host immune responses have been implicated in driving the progression from infection to severe lung disease. We analyzed longitudinal RNA sequencing (RNAseq) data from the whole blood of 74 TB progressors whose samples were grouped into four six-month intervals preceding diagnosis (the GC6-74 study). We additionally analyzed RNAseq data from an independent cohort of 90 TB patients with positron emission tomography-computed tomography (PET-CT) scan results which were used to categorize them into groups with high and low levels of lung damage (the Catalysis TB Biomarker study). These groups were compared to non-TB controls to obtain a complete whole blood transcriptional profile for individuals spanning from early stages of M.tb infection to TB diagnosis. The results revealed a steady increase in the number of genes that were differentially expressed in progressors at time points closer to diagnosis with 278 genes at 13-18 months, 742 at 7-12 months and 5,131 detected 1-6 months before diagnosis and 9,205 detected in TB patients. A total of 2,144 differentially expressed genes were detected when comparing TB patients with high and low levels of lung damage. There was a large overlap in the genes upregulated in progressors 1-6 months before diagnosis (86%) with those in TB patients. A comprehensive pathway analysis revealed a potent activation of neutrophil and platelet mediated defenses including neutrophil and platelet degranulation, and NET formation at both time points. These pathways were also enriched in TB patients with high levels of lung damage compared to those with low. These findings suggest that neutrophils and platelets play a critical role in TB pathogenesis, and provide details of the timing of specific effector mechanisms that may contribute to TB lung pathology.
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- 2022
6. Mtb HLA-E-tetramer-sorted CD8+ T cells have a diverse TCR repertoire
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Voogd, Linda, Drittij, Anne M.H.F., Dingenouts, Calinda K.E., Franken, Kees L.M.C., Unen, Vincent van, van Meijgaarden, Krista E., Ruibal, Paula, Hagedoorn, Renate S., Leitner, Judith A., Steinberger, Peter, Heemskerk, Mirjam H.M., Davis, Mark M., Scriba, Thomas J., Ottenhoff, Tom H.M., and Joosten, Simone A.
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- 2024
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7. Antigen-specific B cells direct T follicular-like helper cells into lymphoid follicles to mediate Mycobacterium tuberculosis control
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Swanson, Rosemary V., Gupta, Ananya, Foreman, Taylor W., Lu, Lan, Choreno-Parra, Jose Alberto, Mbandi, Stanley Kimbung, Rosa, Bruce A., Akter, Sadia, Das, Shibali, Ahmed, Mushtaq, Garcia-Hernandez, Maria de la Luz, Singh, Dhiraj K., Esaulova, Ekaterina, Artyomov, Maxim N., Gommerman, Jennifer, Mehra, Smriti, Zuniga, Joaquin, Mitreva, Makedonka, Scriba, Thomas J., Rangel-Moreno, Javier, Kaushal, Deepak, and Khader, Shabaana A.
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- 2023
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8. Virome-wide detection of natural infection events and the associated antibody dynamics using longitudinal highly-multiplexed serology
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Kelley, Erin J., Henson, Sierra N., Rahee, Fatima, Boyle, Annalee S., Engelbrektson, Anna L., Nelson, Georgia A., Mead, Heather L., Anderson, N. Leigh, Razavi, Morteza, Yip, Richard, Ladner, Jason T., Scriba, Thomas J., and Altin, John A.
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- 2023
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9. T cell receptor repertoires associated with control and disease progression following Mycobacterium tuberculosis infection
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Musvosvi, Munyaradzi, Huang, Huang, Wang, Chunlin, Xia, Qiong, Rozot, Virginie, Krishnan, Akshaya, Acs, Peter, Cheruku, Abhilasha, Obermoser, Gerlinde, Leslie, Alasdair, Behar, Samuel M., Hanekom, Willem A., Bilek, Nicole, Fisher, Michelle, Kaufmann, Stefan H. E., Walzl, Gerhard, Hatherill, Mark, Davis, Mark M., and Scriba, Thomas J.
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- 2023
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10. Integrated analysis of whole blood oxylipin and cytokine responses after bacterial, viral, and T cell stimulation reveals new immune networks
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Abel, Laurent, Alcover, Andres, Aschard, Hugues, Bousso, Philippe, Bourke, Nollaig, Brodin, Petter, Bruhns, Pierre, Cerf-Bensussan, Nadine, Cumano, Ana, D’Enfert, Christophe, Deriano, Ludovic, Dillies, Marie-Agnès, Di Santo, James, Eberl, Gérard, Enninga, Jost, Fellay, Jacques, Gomperts-Boneca, Ivo, Hasan, Milena, Hedestam, Gunilla Karlsson, Hercberg, Serge, Ingersoll, Molly A., Lantz, Olivier, Kenny, Rose Anne, Ménager, Mickaël, Mouquet, Hugo, O'Farrelly, Cliona, Patin, Etienne, Pellegrini, Sandra, Rausell, Antonio, Rieux-Laucat, Frédéric, Rogge, Lars, Fontes, Magnus, Sakuntabhai, Anavaj, Schwartz, Olivier, Schwikowski, Benno, Shorte, Spencer, Tangy, Frédéric, Toubert, Antoine, Touvier, Mathilde, Ungeheuer, Marie-Noëlle, Zimmer, Christophe, Albert, Matthew L., Duffy, Darragh, Quintana-Murci, Lluis, Villain, Etienne, Chanson, Aurélie, Mainka, Malwina, Kampschulte, Nadja, Le Faouder, Pauline, Bertrand-Michel, Justine, Brandolini-Bunlon, Marion, Charbit, Bruno, Musvosvi, Munyaradzi, Bilek, Nicole, Scriba, Thomas J., Schebb, Nils Helge, and Gladine, Cécile
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- 2023
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11. RISK6, a 6-gene transcriptomic signature of TB disease risk, diagnosis and treatment response
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Penn-Nicholson, Adam, Mbandi, Stanley Kimbung, Thompson, Ethan, Mendelsohn, Simon C, Suliman, Sara, Chegou, Novel N, Malherbe, Stephanus T, Darboe, Fatoumatta, Erasmus, Mzwandile, Hanekom, Willem A, Bilek, Nicole, Fisher, Michelle, Kaufmann, Stefan HE, Winter, Jill, Murphy, Melissa, Wood, Robin, Morrow, Carl, Van Rhijn, Ildiko, Moody, Branch, Murray, Megan, Andrade, Bruno B, Sterling, Timothy R, Sutherland, Jayne, Naidoo, Kogieleum, Padayatchi, Nesri, Walzl, Gerhard, Hatherill, Mark, Zak, Daniel, and Scriba, Thomas J
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Biomedical and Clinical Sciences ,Clinical Sciences ,Clinical Research ,Prevention ,Infectious Diseases ,HIV/AIDS ,Lung ,Tuberculosis ,Rare Diseases ,4.1 Discovery and preclinical testing of markers and technologies ,Detection ,screening and diagnosis ,4.2 Evaluation of markers and technologies ,Infection ,Good Health and Well Being ,Adolescent ,Area Under Curve ,Biomarkers ,Cohort Studies ,Female ,HIV Infections ,Humans ,Male ,Mycobacterium tuberculosis ,Point-of-Care Systems ,Positron-Emission Tomography ,Prognosis ,RNA ,Bacterial ,ROC Curve ,Real-Time Polymerase Chain Reaction ,Sensitivity and Specificity ,Adolescent Cohort Study team ,GC6-74 Consortium ,SATVI Clinical and Laboratory Team ,ScreenTB Consortium ,AE-TBC Consortium ,RePORT Brazil Team ,Peruvian Household Contacts Cohort Team ,CAPRISA IMPRESS team - Abstract
Improved tuberculosis diagnostics and tools for monitoring treatment response are urgently needed. We developed a robust and simple, PCR-based host-blood transcriptomic signature, RISK6, for multiple applications: identifying individuals at risk of incident disease, as a screening test for subclinical or clinical tuberculosis, and for monitoring tuberculosis treatment. RISK6 utility was validated by blind prediction using quantitative real-time (qRT) PCR in seven independent cohorts. Prognostic performance significantly exceeded that of previous signatures discovered in the same cohort. Performance for diagnosing subclinical and clinical disease in HIV-uninfected and HIV-infected persons, assessed by area under the receiver-operating characteristic curve, exceeded 85%. As a screening test for tuberculosis, the sensitivity at 90% specificity met or approached the benchmarks set out in World Health Organization target product profiles for non-sputum-based tests. RISK6 scores correlated with lung immunopathology activity, measured by positron emission tomography, and tracked treatment response, demonstrating utility as treatment response biomarker, while predicting treatment failure prior to treatment initiation. Performance of the test in capillary blood samples collected by finger-prick was noninferior to venous blood collected in PAXgene tubes. These results support incorporation of RISK6 into rapid, capillary blood-based point-of-care PCR devices for prospective assessment in field studies.
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- 2020
12. Immune Phenotype and Functionality of Mtb-Specific T-Cells in HIV/TB Co-Infected Patients on Antiretroviral Treatment.
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Zetola, Nicola, Mogashoa, Tuelo, Musonda, Rosemary, Kasvosve, Ishmael, Scriba, Thomas, Nemes, Elisa, Gaseitsiwe, Simani, Mupfumi, Lucy, Mpande, Cheleka, Reid, Tim, Moyo, Sikhulile, and Shin, Sanghyuk
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CD38 ,HLA-DR ,immune activation ,treatment response - Abstract
The performance of host blood-based biomarkers for tuberculosis (TB) in HIV-infected patients on antiretroviral therapy (ART) has not been fully assessed. We evaluated the immune phenotype and functionality of antigen-specific T-cell responses in HIV positive (+) participants with TB (n = 12) compared to HIV negative (-) participants with either TB (n = 9) or latent TB infection (LTBI) (n = 9). We show that the cytokine profile of Mtb-specific CD4+ T-cells in participants with TB, regardless of HIV status, was predominantly single IFN-γ or dual IFN-γ/ TNFα. Whilst ESAT-6/CFP-10 responding T-cells were predominantly of an effector memory (CD27-CD45RA-CCR7-) profile, HIV-specific T-cells were mainly of a central (CD27+CD45RA-CCR7+) and transitional memory (CD27+CD45RA+/-CCR7-) phenotype on both CD4+ and CD8+ T-cells. Using receiving operating characteristic (ROC) curve analysis, co-expression of CD38 and HLA-DR on ESAT-6/CFP-10 responding total cytokine-producing CD4+ T-cells had a high sensitivity for discriminating HIV+TB (100%, 95% CI 70-100) and HIV-TB (100%, 95% CI 70-100) from latent TB with high specificity (100%, 95% CI 68-100 for HIV-TB) at a cut-off value of 5% and 13%, respectively. TB treatment reduced the proportion of Mtb-specific total cytokine+CD38+HLA-DR+ CD4+ T-cells only in HIV-TB (p = 0.001). Our results suggest that co-expression of CD38 and HLA-DR on Mtb-specific CD4+ T-cells could serve as a TB diagnosis tool regardless of HIV status.
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- 2020
13. Immune Phenotype and Functionality of Mtb-Specific T-Cells in HIV/TB Co-Infected Patients on Antiretroviral Treatment.
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Mupfumi, Lucy, Mpande, Cheleka AM, Reid, Tim, Moyo, Sikhulile, Shin, Sanghyuk S, Zetola, Nicola, Mogashoa, Tuelo, Musonda, Rosemary M, Kasvosve, Ishmael, Scriba, Thomas J, Nemes, Elisa, and Gaseitsiwe, Simani
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CD38 ,HLA-DR ,immune activation ,treatment response ,Immunology ,Medical Microbiology - Abstract
The performance of host blood-based biomarkers for tuberculosis (TB) in HIV-infected patients on antiretroviral therapy (ART) has not been fully assessed. We evaluated the immune phenotype and functionality of antigen-specific T-cell responses in HIV positive (+) participants with TB (n = 12) compared to HIV negative (-) participants with either TB (n = 9) or latent TB infection (LTBI) (n = 9). We show that the cytokine profile of Mtb-specific CD4+ T-cells in participants with TB, regardless of HIV status, was predominantly single IFN-γ or dual IFN-γ/ TNFα. Whilst ESAT-6/CFP-10 responding T-cells were predominantly of an effector memory (CD27-CD45RA-CCR7-) profile, HIV-specific T-cells were mainly of a central (CD27+CD45RA-CCR7+) and transitional memory (CD27+CD45RA+/-CCR7-) phenotype on both CD4+ and CD8+ T-cells. Using receiving operating characteristic (ROC) curve analysis, co-expression of CD38 and HLA-DR on ESAT-6/CFP-10 responding total cytokine-producing CD4+ T-cells had a high sensitivity for discriminating HIV+TB (100%, 95% CI 70-100) and HIV-TB (100%, 95% CI 70-100) from latent TB with high specificity (100%, 95% CI 68-100 for HIV-TB) at a cut-off value of 5% and 13%, respectively. TB treatment reduced the proportion of Mtb-specific total cytokine+CD38+HLA-DR+ CD4+ T-cells only in HIV-TB (p = 0.001). Our results suggest that co-expression of CD38 and HLA-DR on Mtb-specific CD4+ T-cells could serve as a TB diagnosis tool regardless of HIV status.
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- 2020
14. Newborn bacille Calmette-Guérin vaccination induces robust infant interferon-γ-expressing natural killer cell responses to mycobacteria
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Murphy, Melissa, Suliman, Sara, Briel, Libby, Veldtsman, Helen, Khomba, Nondumiso, Africa, Hadn, Steyn, Marcia, Snyders, Candice I., van Rensburg, Ilana C., Walzl, Gerhard, Chegou, Novel N., Hatherill, Mark, Hanekom, Willem A., Scriba, Thomas J., and Nemes, Elisa
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- 2023
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15. Predictive performance of interferon-gamma release assays and the tuberculin skin test for incident tuberculosis: an individual participant data meta-analysis
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Hamada, Yohhei, Gupta, Rishi K., Quartagno, Matteo, Izzard, Abbie, Acuna-Villaorduna, Carlos, Altet, Neus, Diel, Roland, Dominguez, Jose, Floyd, Sian, Gupta, Amita, Huerga, Helena, Jones-López, Edward C., Kinikar, Aarti, Lange, Christoph, van Leth, Frank, Liu, Qiao, Lu, Wei, Lu, Peng, Rueda, Irene Latorre, Martinez, Leonardo, Mbandi, Stanley Kimbung, Muñoz, Laura, Padilla, Elisabeth Sánchez, Paradkar, Mandar, Scriba, Thomas, Sester, Martina, Shanaube, Kwame, Sharma, Surendra K., Sloot, Rosa, Sotgiu, Giovanni, Thiruvengadam, Kannan, Vashishtha, Richa, Abubakar, Ibrahim, and Rangaka, Molebogeng X.
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- 2023
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16. MR1-Independent Activation of Human Mucosal-Associated Invariant T Cells by Mycobacteria
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Suliman, Sara, Murphy, Melissa, Musvosvi, Munyaradzi, Gela, Anele, Meermeier, Erin W, Geldenhuys, Hennie, Hopley, Christiaan, Toefy, Asma, Bilek, Nicole, Veldsman, Ashley, Hanekom, Willem A, Johnson, John L, Boom, W Henry, Obermoser, Gerlinde, Huang, Huang, Hatherill, Mark, Lewinsohn, David M, Nemes, Elisa, and Scriba, Thomas J
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Biomedical and Clinical Sciences ,Immunology ,Rare Diseases ,Vaccine Related ,Immunization ,HIV/AIDS ,Prevention ,Infectious Diseases ,Clinical Research ,Tuberculosis ,Tuberculosis Vaccine ,Aetiology ,2.1 Biological and endogenous factors ,Infection ,Good Health and Well Being ,Adolescent ,Child ,Cohort Studies ,Cytokines ,Histocompatibility Antigens Class I ,Humans ,Minor Histocompatibility Antigens ,Mucosal-Associated Invariant T Cells ,Mycobacterium tuberculosis ,Receptors ,Antigen ,T-Cell ,Biochemistry and cell biology - Abstract
Tuberculosis (TB) is the leading cause of mortality from a single infectious agent, Mycobacterium tuberculosis Relevant immune targets of the partially efficacious TB vaccine bacille Calmette-Guérin (BCG) remain poorly defined. Mucosal-associated invariant T (MAIT) cells are MHC-related protein 1 (MR1)-restricted T cells, which are reactive against M. tuberculosis, and underexplored as potential TB vaccine targets. We sought to determine whether BCG vaccination activated mycobacteria-specific MAIT cell responses in humans. We analyzed whole blood samples from M. tuberculosis-infected South African adults who were revaccinated with BCG after a six-month course of isoniazid preventative therapy. In vitro BCG stimulation potently induced IFN-γ expression by phenotypic (CD8+CD26+CD161+) MAIT cells, which constituted the majority (75%) of BCG-reactive IFN-γ-producing CD8+ T cells. BCG revaccination transiently expanded peripheral blood frequencies of BCG-reactive IFN-γ+ MAIT cells, which returned to baseline frequencies a year following vaccination. In another cohort of healthy adults who received BCG at birth, 53% of mycobacteria-reactive-activated CD8 T cells expressed CDR3α TCRs, previously reported as MAIT TCRs, expressing the canonical TRAV1-2-TRAJ33 MAIT TCRα rearrangement. CD26 and CD161 coexpression correlated with TRAV1-2+CD161+ phenotype more accurately in CD8+ than CD4-CD8- MAIT cells. Interestingly, BCG-induced IFN-γ expression by MAIT cells in vitro was mediated by the innate cytokines IL-12 and IL-18 more than MR1-induced TCR signaling, suggesting TCR-independent activation. Collectively, the data suggest that activation of blood MAIT cells by innate inflammatory cytokines is a major mechanism of responsiveness to vaccination with whole cell vaccines against TB or in vitro stimulation with mycobacteria (Clinical trial registration: NCT01119521).
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- 2019
17. Discovery and validation of a prognostic proteomic signature for tuberculosis progression: A prospective cohort study
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Penn-Nicholson, Adam, Hraha, Thomas, Thompson, Ethan G, Sterling, David, Mbandi, Stanley Kimbung, Wall, Kirsten M, Fisher, Michelle, Suliman, Sara, Shankar, Smitha, Hanekom, Willem A, Janjic, Nebojsa, Hatherill, Mark, Kaufmann, Stefan HE, Sutherland, Jayne, Walzl, Gerhard, De Groote, Mary Ann, Ochsner, Urs, Zak, Daniel E, and Scriba, Thomas J
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Biomedical and Clinical Sciences ,Clinical Sciences ,Infectious Diseases ,Rare Diseases ,HIV/AIDS ,Tuberculosis ,Clinical Research ,Prevention ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,4.2 Evaluation of markers and technologies ,Infection ,Good Health and Well Being ,Adolescent ,Biomarkers ,Child ,Cohort Studies ,Diagnostic Tests ,Routine ,Disease Progression ,Female ,Humans ,Longitudinal Studies ,Male ,Point-of-Care Testing ,Prognosis ,Prospective Studies ,Proteome ,Proteomics ,ACS and GC6–74 cohort study groups ,Medical and Health Sciences ,General & Internal Medicine ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundA nonsputum blood test capable of predicting progression of healthy individuals to active tuberculosis (TB) before clinical symptoms manifest would allow targeted treatment to curb transmission. We aimed to develop a proteomic biomarker of risk of TB progression for ultimate translation into a point-of-care diagnostic.Methods and findingsProteomic TB risk signatures were discovered in a longitudinal cohort of 6,363 Mycobacterium tuberculosis-infected, HIV-negative South African adolescents aged 12-18 years (68% female) who participated in the Adolescent Cohort Study (ACS) between July 6, 2005 and April 23, 2007, through either active (every 6 months) or passive follow-up over 2 years. Forty-six individuals developed microbiologically confirmed TB disease within 2 years of follow-up and were selected as progressors; 106 nonprogressors, who remained healthy, were matched to progressors. Over 3,000 human proteins were quantified in plasma with a highly multiplexed proteomic assay (SOMAscan). Three hundred sixty-one proteins of differential abundance between progressors and nonprogressors were identified. A 5-protein signature, TB Risk Model 5 (TRM5), was discovered in the ACS training set and verified by blind prediction in the ACS test set. Poor performance on samples 13-24 months before TB diagnosis motivated discovery of a second 3-protein signature, 3-protein pair-ratio (3PR) developed using an orthogonal strategy on the full ACS subcohort. Prognostic performance of both signatures was validated in an independent cohort of 1,948 HIV-negative household TB contacts from The Gambia (aged 15-60 years, 66% female), longitudinally followed up for 2 years between March 5, 2007 and October 21, 2010, sampled at baseline, month 6, and month 18. Amongst these contacts, 34 individuals progressed to microbiologically confirmed TB disease and were included as progressors, and 115 nonprogressors were included as controls. Prognostic performance of the TRM5 signature in the ACS training set was excellent within 6 months of TB diagnosis (area under the receiver operating characteristic curve [AUC] 0.96 [95% confidence interval, 0.93-0.99]) and 6-12 months (AUC 0.76 [0.65-0.87]) before TB diagnosis. TRM5 validated with an AUC of 0.66 (0.56-0.75) within 1 year of TB diagnosis in the Gambian validation cohort. The 3PR signature yielded an AUC of 0.89 (0.84-0.95) within 6 months of TB diagnosis and 0.72 (0.64-0.81) 7-12 months before TB diagnosis in the entire South African discovery cohort and validated with an AUC of 0.65 (0.55-0.75) within 1 year of TB diagnosis in the Gambian validation cohort. Signature validation may have been limited by a systematic shift in signal magnitudes generated by differences between the validation assay when compared to the discovery assay. Further validation, especially in cohorts from non-African countries, is necessary to determine how generalizable signature performance is.ConclusionsBoth proteomic TB risk signatures predicted progression to incident TB within a year of diagnosis. To our knowledge, these are the first validated prognostic proteomic signatures. Neither meet the minimum criteria as defined in the WHO Target Product Profile for a progression test. More work is required to develop such a test for practical identification of individuals for investigation of incipient, subclinical, or active TB disease for appropriate treatment and care.
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- 2019
18. Developing tuberculosis vaccines for people with HIV: consensus statements from an international expert panel
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Miner, Maurine D, Hatherill, Mark, Mave, Vidya, Gray, Glenda E, Nachman, Sharon, Read, Sarah W, White, Richard G, Hesseling, Anneke, Cobelens, Frank, Patel, Sheral, Frick, Mike, Bailey, Theodore, Seder, Robert, Flynn, Joanne, Rengarajan, Jyothi, Kaushal, Deepak, Hanekom, Willem, Schmidt, Alexander C, Scriba, Thomas J, Nemes, Elisa, Andersen-Nissen, Erica, Landay, Alan, Dorman, Susan E, Aldrovandi, Grace, Cranmer, Lisa M, Day, Cheryl L, Garcia-Basteiro, Alberto L, Fiore-Gartland, Andrew, Mogg, Robin, Kublin, James G, Gupta, Amita, and Churchyard, Gavin
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- 2022
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19. T cell responses to Mycobacterium indicus pranii immunotherapy and adjunctive glucocorticoid therapy in tuberculous pericarditis
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Steigler, Pia, Chhiba, Mukesh, Francis, Veronica, Keyser, Alana, Abrahams, Deborah, Hanekom, Willem, Ntsekhe, Mpiko, and Scriba, Thomas J.
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- 2022
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20. Rapid GPR183-mediated recruitment of eosinophils to the lung after Mycobacterium tuberculosis infection
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Bohrer, Andrea C., Castro, Ehydel, Tocheny, Claire E., Assmann, Maike, Schwarz, Benjamin, Bohrnsen, Eric, Makiya, Michelle A., Legrand, Fanny, Hilligan, Kerry L., Baker, Paul J., Torres-Juarez, Flor, Hu, Zhidong, Ma, Hui, Wang, Lin, Niu, Liangfei, Wen, Zilu, Lee, Sang H., Kamenyeva, Olena, Kauffman, Keith D., Donato, Michele, Sher, Alan, Barber, Daniel L., Via, Laura E., Scriba, Thomas J., Khatri, Purvesh, Song, Yanzheng, Wong, Ka-Wing, Bosio, Catharine M., Klion, Amy D., and Mayer-Barber, Katrin D.
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- 2022
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21. Evaluation of a transcriptomic signature of tuberculosis risk in combination with an interferon gamma release assay: A diagnostic test accuracy study
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Mulenga, Humphrey, Fiore-Gartland, Andrew, Mendelsohn, Simon C., Penn-Nicholson, Adam, Mbandi, Stanley Kimbung, Nemes, Elisa, Borate, Bhavesh, Musvosvi, Munyaradzi, Tameris, Michèle, Walzl, Gerhard, Naidoo, Kogieleum, Churchyard, Gavin, Scriba, Thomas J., and Hatherill, Mark
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- 2022
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22. Transcriptomic Signatures of Progression to Tuberculosis Disease Among Close Contacts in Brazil.
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Mendelsohn, Simon C, Andrade, Bruno B, Mbandi, Stanley Kimbung, Andrade, Alice M S, Muwanga, Vanessa M, Figueiredo, Marina C, Erasmus, Mzwandile, Rolla, Valeria C, Thami, Prisca K, Cordeiro-Santos, Marcelo, Penn-Nicholson, Adam, Kritski, Afranio L, Hatherill, Mark, Sterling, Timothy R, Scriba, Thomas J, and Consortia, the RePORT–South Africa and RePORT–Brazil
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Background Approximately 5% of people infected with Mycobacterium tuberculosis progress to tuberculosis (TB) disease without preventive therapy. There is a need for a prognostic test to identify those at highest risk of incident TB so that therapy can be targeted. We evaluated host blood transcriptomic signatures for progression to TB disease. Methods Close contacts (≥4 hours of exposure per week) of adult patients with culture-confirmed pulmonary TB were enrolled in Brazil. Investigation for incident, microbiologically confirmed, or clinically diagnosed pulmonary or extrapulmonary TB disease through 24 months of follow-up was symptom triggered. Twenty previously validated blood TB transcriptomic signatures were measured at baseline by real-time quantitative polymerase chain reaction. Prognostic performance for incident TB was tested by receiver operating characteristic curve analysis at 6, 9, 12, and 24 months of follow-up. Results Between June 2015 and June 2019, 1854 close contacts were enrolled. Twenty-five progressed to incident TB, of whom 13 had microbiologically confirmed disease. Baseline transcriptomic signature scores were measured in 1789 close contacts. Prognostic performance for all signatures was best within 6 months of diagnosis. Seven signatures (Gliddon4, Suliman4, Roe3, Roe1, Penn-Nicholson6, Francisco2, and Rajan5) met the minimum World Health Organization target product profile for a prognostic test through 6 months and 3 signatures (Gliddon4, Rajan5, and Duffy9) through 9 months. None met the target product profile threshold through ≥12 months of follow-up. Conclusions Blood transcriptomic signatures may be useful for predicting TB risk within 9 months of measurement among TB-exposed contacts to target preventive therapy administration. [ABSTRACT FROM AUTHOR]
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- 2024
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23. Co-regulation of innate and adaptive immune responses induced by ID93+GLA-SE vaccination in humans.
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Fiore-Gartland, Andrew, Srivastava, Himangi, Seese, Aaron, Day, Tracey, Penn-Nicholson, Adam, Luabeya, Angelique Kany Kany, Du Plessis, Nelita, Loxton, Andre G., Bekker, Linda-Gail, Diacon, Andreas, Walzl, Gerhard, Sagawa, Zachary K., Reed, Steven G., Scriba, Thomas J., Hatheril, Mark, and Coler, Rhea
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VACCINE effectiveness ,GENE regulatory networks ,TUBERCULOSIS vaccines ,GLOBAL burden of disease ,T cells - Abstract
Introduction: Development of an effective vaccine against tuberculosis is a critical step towards reducing the global burden of disease. A therapeutic vaccine might also reduce the high rate of TB recurrence and help address the challenges of drug-resistant strains. ID93+GLA-SE is a candidate subunit vaccine that will soon be evaluated in a phase 2b efficacy trial for prevention of recurrent TB among patients undergoing TB treatment. ID93+GLA-SE vaccination was shown to elicit robust CD4+ T cell and IgG antibody responses among recently treated TB patients in the TBVPX-203 Phase 2a study (NCT02465216), but the mechanisms underlying these responses are not well understood. Methods: In this study we used specimens from TBVPX-203 participants to describe the changes in peripheral blood gene expression that occur after ID93 +GLA-SE vaccination. Results: Analyses revealed several distinct modules of co-varying genes that were either up- or down-regulated after vaccination, including genes associated with innate immune pathways at 3 days post-vaccination and genes associated with lymphocyte expansion and B cell activation at 7 days post-vaccination. Notably, the regulation of these gene modules was affected by the dose schedule and by participant sex, and early innate gene signatures were correlated with the ID93-specific CD4+ T cell response. Discussion: The results provide insight into the complex interplay of the innate and adaptive arms of the immune system in developing responses to vaccination with ID93+GLA-SE and demonstrate how dosing and schedule can affect vaccine responses. [ABSTRACT FROM AUTHOR]
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- 2024
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24. Mtb -Specific HLA-E-Restricted T Cells Are Induced during Mtb Infection but Not after BCG Administration in Non-Human Primates and Humans.
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Voogd, Linda, van Wolfswinkel, Marjolein, Satti, Iman, White, Andrew D., Dijkman, Karin, Gela, Anele, van Meijgaarden, Krista E., Franken, Kees L. M. C., Marshall, Julia L., Ottenhoff, Tom H. M., Scriba, Thomas J., McShane, Helen, Sharpe, Sally A., Verreck, Frank A. W., and Joosten, Simone A.
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T cells ,BCG vaccines ,TUBERCULOSIS vaccines ,MYCOBACTERIUM tuberculosis ,RHESUS monkeys - Abstract
Background: Novel vaccines targeting the world's deadliest pathogen Mycobacterium tuberculosis (Mtb) are urgently needed as the efficacy of the Bacillus Calmette–Guérin (BCG) vaccine in its current use is limited. HLA-E is a virtually monomorphic unconventional antigen presentation molecule, and HLA-E-restricted Mtb-specific CD8
+ T cells can control intracellular Mtb growth, making HLA-E a promising vaccine target for Mtb. Methods: In this study, we evaluated the frequency and phenotype of HLA-E-restricted Mtb-specific CD4+ /CD8+ T cells in the circulation and bronchoalveolar lavage fluid of two independent non-human primate (NHP) studies and from humans receiving BCG either intradermally or mucosally. Results: BCG vaccination followed by Mtb challenge in NHPs did not affect the frequency of circulating and local HLA-E–Mtb CD4+ and CD8+ T cells, and we saw the same in humans receiving BCG. HLA-E–Mtb T cell frequencies were significantly increased after Mtb challenge in unvaccinated NHPs, which was correlated with higher TB pathology. Conclusions: Together, HLA-E–Mtb-restricted T cells are minimally induced by BCG in humans and rhesus macaques (RMs) but can be elicited after Mtb infection in unvaccinated RMs. These results give new insights into targeting HLA-E as a potential immune mechanism against TB. [ABSTRACT FROM AUTHOR]- Published
- 2024
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25. Clinical predictors of pulmonary tuberculosis among South African adults with HIV
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Mendelsohn, Simon C., Fiore-Gartland, Andrew, Awany, Denis, Mulenga, Humphrey, Mbandi, Stanley Kimbung, Tameris, Michèle, Walzl, Gerhard, Naidoo, Kogieleum, Churchyard, Gavin, Scriba, Thomas J., and Hatherill, Mark
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- 2022
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26. The effect of host factors on discriminatory performance of a transcriptomic signature of tuberculosis risk
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Mulenga, Humphrey, Fiore-Gartland, Andrew, Mendelsohn, Simon C., Penn-Nicholson, Adam, Mbandi, Stanley Kimbung, Borate, Bhavesh, Musvosvi, Munyaradzi, Tameris, Michèle, Walzl, Gerhard, Naidoo, Kogieleum, Churchyard, Gavin, Scriba, Thomas J., and Hatherill, Mark
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- 2022
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27. Effects of BCG vaccination on donor unrestricted T cells in two prospective cohort studies
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Gela, Anele, Murphy, Melissa, Rodo, Miguel, Hadley, Kate, Hanekom, Willem A., Boom, W.Henry, Johnson, John L., Hoft, Daniel F., Joosten, Simone A., Ottenhoff, Tom H.M., Suliman, Sara, Moody, D.Branch, Lewinsohn, David M., Hatherill, Mark, Seshadri, Chetan, Nemes, Elisa, Scriba, Thomas J., Briel, Libby, Veldtsman, Hellen, Khomba, Nondumiso, Pienaar, Bernadette, Africa, Hadn, and Steyn, Marcia
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- 2022
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28. Four-Gene Pan-African Blood Signature Predicts Progression to Tuberculosis
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Suliman, Sara, Thompson, Ethan G, Sutherland, Jayne, Weiner, January, Ota, Martin OC, Shankar, Smitha, Penn-Nicholson, Adam, Thiel, Bonnie, Erasmus, Mzwandile, Maertzdorf, Jeroen, Duffy, Fergal J, Hill, Philip C, Hughes, E Jane, Stanley, Kim, Downing, Katrina, Fisher, Michelle L, Valvo, Joe, Parida, Shreemanta K, van der Spuy, Gian, Tromp, Gerard, Adetifa, Ifedayo MO, Donkor, Simon, Howe, Rawleigh, Mayanja-Kizza, Harriet, Boom, W Henry, Dockrell, Hazel M, Ottenhoff, Tom HM, Hatherill, Mark, Aderem, Alan, Hanekom, Willem A, Scriba, Thomas J, Kaufmann, Stefan HE, Zak, Daniel E, Walzl, Gerhard, Black, Gillian F, Kriel, Magdalena, Du Plessis, Nelita, Nene, Nonhlanhla, Roberts, Teri, Kleynhans, Leanie, Gutschmidt, Andrea, Smith, Bronwyn, Loxton, Andre G, Chegou, Novel N, Tromp, Gerhardus, Tabb, David, Klein, Michel R, Haks, Marielle C, Franken, Kees LMC, Geluk, Annemieke, van Meijgaarden, Krista E, Joosten, Simone A, Joloba, Moses, Zalwango, Sarah, Nsereko, Mary, Okwera, Brenda, Kisingo, Hussein, Golinski, Robert, Jacobson, Marc, Dockrell, Hazel, Smith, Steven, Gorak-Stolinska, Patricia, Hur, Yun-Gyoung, Lalor, Maeve, Lee, Ji-Sook, Crampin, Amelia C, French, Neil, Ngwira, Bagrey, Ben-Smith, Anne, Watkins, Kate, Ambrose, Lyn, Simukonda, Felanji, Mvula, Hazzie, Chilongo, Femia, Saul, Jacky, Branson, Keith, Mahomed, Hassan, Bilek, Nicole, Xasa, Onke, Veldsman, Ashley, Fisher, Michelle, and Mulenga, Humphrey
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HIV/AIDS ,Rare Diseases ,Infectious Diseases ,Tuberculosis ,Clinical Research ,Emerging Infectious Diseases ,Prevention ,Genetics ,2.1 Biological and endogenous factors ,4.2 Evaluation of markers and technologies ,4.1 Discovery and preclinical testing of markers and technologies ,Aetiology ,Detection ,screening and diagnosis ,Infection ,Good Health and Well Being ,GC6-74 cohort study team ,The ACS cohort study team ,biomarkers ,gene expression ,tuberculosis ,Medical and Health Sciences ,Respiratory System - Abstract
Rationale: Contacts of patients with tuberculosis (TB) constitute an important target population for preventive measures because they are at high risk of infection with Mycobacterium tuberculosis and progression to disease.Objectives: We investigated biosignatures with predictive ability for incident TB.Methods: In a case-control study nested within the Grand Challenges 6-74 longitudinal HIV-negative African cohort of exposed household contacts, we employed RNA sequencing, PCR, and the pair ratio algorithm in a training/test set approach. Overall, 79 progressors who developed TB between 3 and 24 months after diagnosis of index case and 328 matched nonprogressors who remained healthy during 24 months of follow-up were investigated.Measurements and Main Results: A four-transcript signature derived from samples in a South African and Gambian training set predicted progression up to two years before onset of disease in blinded test set samples from South Africa, the Gambia, and Ethiopia with little population-associated variability, and it was also validated in an external cohort of South African adolescents with latent M. tuberculosis infection. By contrast, published diagnostic or prognostic TB signatures were predicted in samples from some but not all three countries, indicating site-specific variability. Post hoc meta-analysis identified a single gene pair, C1QC/TRAV27 (complement C1q C-chain / T-cell receptor-α variable gene 27) that would consistently predict TB progression in household contacts from multiple African sites but not in infected adolescents without known recent exposure events.Conclusions: Collectively, we developed a simple whole blood-based PCR test to predict TB in recently exposed household contacts from diverse African populations. This test has potential for implementation in national TB contact investigation programs.
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- 2018
29. Diagnostic biomarkers for active tuberculosis: progress and challenges
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Nogueira, Betânia M F, Krishnan, Sonya, Barreto‐Duarte, Beatriz, Araújo‐Pereira, Mariana, Queiroz, Artur T L, Ellner, Jerrold J, Salgame, Padmini, Scriba, Thomas J, Sterling, Timothy R, Gupta, Amita, and Andrade, Bruno B
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- 2022
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30. Inflammation and immune activation are associated with risk of Mycobacterium tuberculosis infection in BCG-vaccinated infants
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Satti, Iman, Wittenberg, Rachel E., Li, Shuailin, Harris, Stephanie A., Tanner, Rachel, Cizmeci, Deniz, Jacobs, Ashley, Williams, Nicola, Mulenga, Humphrey, Fletcher, Helen A., Scriba, Thomas J., Tameris, Michele, Hatherill, Mark, and McShane, Helen
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- 2022
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31. Non-volatile organic compounds in exhaled breath particles correspond to active tuberculosis
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Chen, Dapeng, Bryden, Noella A., Bryden, Wayne A., McLoughlin, Michael, Smith, Dexter, Devin, Alese P., Caton, Emily R., Haddaway, Caroline R., Tameris, Michele, Scriba, Thomas J., Hatherill, Mark, Gessner, Sophia, Warner, Digby F., and Wood, Robin
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- 2022
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32. Prospective multicentre head-to-head validation of host blood transcriptomic biomarkers for pulmonary tuberculosis by real-time PCR
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Mendelsohn, Simon C., Mbandi, Stanley Kimbung, Fiore-Gartland, Andrew, Penn-Nicholson, Adam, Musvosvi, Munyaradzi, Mulenga, Humphrey, Fisher, Michelle, Hadley, Katie, Erasmus, Mzwandile, Nombida, Onke, Tameris, Michèle, Walzl, Gerhard, Naidoo, Kogieleum, Churchyard, Gavin, Hatherill, Mark, and Scriba, Thomas J.
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- 2022
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33. CD4 and CD8 co-receptors modulate functional avidity of CD1b-restricted T cells
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James, Charlotte A., Xu, Yuexin, Aguilar, Melissa S., Jing, Lichen, Layton, Erik D., Gilleron, Martine, Minnaard, Adriaan J., Scriba, Thomas J., Day, Cheryl L., Warren, Edus H., Koelle, David M., and Seshadri, Chetan
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- 2022
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34. Phospholipase C epsilon-1 (PLCƐ1) mediates macrophage activation and protection against tuberculosis
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Gupta, Ananya, primary, Thirunavukkarasu, Shyamala, additional, Rangel-Moreno, Javier, additional, Ahmed, Mushtaq, additional, Swanson, Rosemary V., additional, Mbandi, Stanley Kimbung, additional, Smrcka, Alan V., additional, Kaushal, Deepak, additional, Scriba, Thomas J., additional, and Khader, Shabaana A., additional
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- 2024
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35. Estimating the Potential Public Health Value of BCG Revaccination
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Clark, Rebecca A, primary, Sumner, Tom, additional, Weerasuriya, Chathika K, additional, Bakker, Roel, additional, Scriba, Thomas J, additional, and White, Richard G, additional
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- 2024
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36. Fetal public Vγ9Vδ2 T cells expand and gain potent cytotoxic functions early after birth
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Papadopoulou, Maria, Dimova, Tanya, Shey, Muki, Briel, Libby, Veldtsman, Helen, Khomba, Nondumiso, Africa, Hadn, Steyn, Marcia, Hanekom, Willem A., Scriba, Thomas J., Nemes, Elisa, and Vermijlen, David
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- 2020
37. Poly(ADP-ribose) polymerase 9 mediates early protection against Mycobacterium tuberculosis infection by regulating type I IFN production
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Thirunavukkarasu, Shyamala, Ahmed, Mushtaq, Rosa, Bruce A., Boothby, Mark, Cho, Sung Hoon, Rangel-Moreno, Javier, Mbandi, Stanley K., Schreiber, Valerie, Gupta, Ananya, Zuniga, Joaquin, Mitreva, Makedonka, Kaushal, Deepak, Scriba, Thomas J., and Khader, Shabaana A.
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Interferon -- Health aspects ,Tuberculosis -- Development and progression ,Cellular proteins -- Health aspects ,Immune response -- Regulation ,Health care industry - Abstract
The ADP ribosyltransferases (PARPs 1-17) regulate diverse cellular processes, including DNA damage repair. PARPs are classified on the basis of their ability to catalyze poly-ADP-ribosylation (PARylation) or mono-ADP-ribosylation (MARylation). Although PARP9 mRNA expression is significantly increased in progressive tuberculosis (TB) in humans, its participation in host immunity to TB is unknown. Here, we show that PARP9 mRNA encoding the MARylating PARP9 enzyme was upregulated during TB in humans and mice and provide evidence of a critical modulatory role for PARP9 in DNA damage, cyclic GMP-AMP synthase (cGAS) expression, and type I IFN production during TB. Thus, Parp9-deficient mice were susceptible to Mycobacterium tuberculosis infection and exhibited increased TB disease, cGAS and 2'3'-cyclic GMP-AMP (cGAMP) expression, and type I IFN production, along with upregulation of complement and coagulation pathways. Enhanced M. tuberculosis susceptibility is type I IFN dependent, as blockade of IFN a receptor (IFNAR) signaling reversed the enhanced susceptibility of [Parp9.sup.-/-] mice. Thus, in sharp contrast to PARP9 enhancement of type I IFN production in viral infections, this member of the MAR family plays a protective role by limiting type I IFN responses during TB., Introduction Mycobacterium tuberculosis infects approximately 25% of the world's population and causes tuberculosis (TB), a leading infectious disease that results in approximately 1.3 million deaths annually. Although a majority of [...]
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- 2023
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38. Validation of a host blood transcriptomic biomarker for pulmonary tuberculosis in people living with HIV: a prospective diagnostic and prognostic accuracy study
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Abrahams, Charmaine, Africa, Hadn, Ahlers, Petri, Arendsen, Denis, Badimo, Tebogo, Baepanye, Kagiso, Baepanye, Kesenogile Edna, Bande, Bianca, Batyi, Nomfuneko Cynthia, Beukes, Roslyn, Bontsi, Laudicia Tshenolo, Booi, Obakeng Peter, Botha, Mari Cathrin, Braaf, Samentra, Buhlungu, Sivuyile, Carstens, Alida, Chauke, Kgomotso Violet, Chinappa, Thilagavathy, Chung, Eva, Chung, Michelle, Clarke, Ken, Cloete, Yolundi, Coetzee, Lorraine, Collignon, Marelize, Companie, Alessandro, Corris, Cara-mia, Cwaile, Mooketsi Theophillius, Cwele, Thobelani, Davids, Ilse, Davies, Isabella Johanna, De Klerk, Emilia, de Kock, Marwou, Dhlamini, Audrey Lebohang, Diamond, Bongani, Didloff, Maria, Dlamini, Celaphiwe, Dolo, Palesa, Eyre, Candice, Feni, Tebogo, Ferreira, Juanita, Ferus, Christal, Fisher, Michelle, Flinn, Marika, Fransman, Bernadine, Galane, Welseh Phindile, Geldenhuys, Hennie, Gempies, Diann, Goliath, Thelma, Govender, Dhineshree, Gregg, Yolande, Gumede, Goodness, Gwamada, Zanele, Halti, Senzo, Hassiem, Rieyaat, Herling, Roxane, Herselman, Yulandi, Hughes, Ellis, Issel, Henry, Iyemosolo, Blanchard Mbay, Jali, Zandile, Janse Van Rensburg, Bonita, Jansen, Ruwiyda, Jeleni, James Michael, Jonkane, Olebogeng, Julies, Fabio, Kafaar, Fazlin, Kasongo, Christian Mabika, Keffers, Sophie, Kekana, Boitumelo Sophy, Kekana, Sebaetseng Jeanette, Kelepu, Xoliswa, Khanyile, Lungile, Khobedi, Gomotsegang Virginia, Khomba, Gloria, Khoza, Lucky Sipho, King, Marietjie, Kolobe, Gloria Keitumetse, Kruger, Sandra, Kruger, Jaftha, Kunene, Ndlela Israel, Lakay, Sunelza, Lakhi, Aneesa, Langa, Nondumiso, Ledwaba, Hildah, Lekagane, Lerato Julia, Lekotloane, Sheiley Christina, Leopeng, Thelma, Louw, Ilze Jeanette, Luabeya, Angelique Kany Kany, Lusale, Sarah Teboso, Maatjie, Perfect Tiisetso, Mabasa, Immaculate, Mabe, Tshegofatso Dorah, Mabena, Kamogelo Fortunate, Mabuza, Nkosinathi Charles, Mabwe, Simbarashe, Madikwe, Johanna Thapelo, Madikwe, Octavia Mahkosazana, Maebana, Rapontwana Letlhogonolo, Magwasha, Malobisa Sylvester, Majola, Molly, Makhetha, Mantai, Makhethe, Lebohang, Malay, Vernon, Manzini, Vutlhari-I-Vunhenha Fairlord, Maphanga, Jabu, Maphanga, Nonhle, Market, Juanita, Maroele, Isholedi Samuel, Masibi, Omphile Petunia, Mathabanzini, July Rocky, Mathode, Tendamudzimu Ivan, Matsane, Ellen Ditaba, Mbata, Lungile, Meyer, Faheema, Mhandire, Nyasha Karen, Miga, Thembisiwe, Mkhize, Nosisa Charity Thandeka, Mkhokho, Caroline, Mkwalase, Neo Hilda, Mnqonywa, Nondzakazi, Moche, Karabo, Modisaotsile, Brenda Matshidiso, Mokgetsengoane, Patricia Pakiso, Mokone, Selemeng Matseliso Carol, Molatlhegi, Kegomoditswe Magdeline, Molefe, Thuso Andrew, Moloko, Joseph Panie, Molosi, Kabelo, Molotsi, Motlatsi Evelyn, Montwedi, Tebogo Edwin, Monyemangene, Boikanyo Dinah, Mooketsi, Hellen Mokopi, Moses, Miriam, Mosito, Boitumelo, Mosito, Tshplpfelo Mapula, Mosweu, Ireen Lesebang, Mothaga, Primrose, Motlagomang, Banyana Olga, Mouton, Angelique, Mpofu, Onesisa, Mthembu, Funeka Nomvula, Mtlali, Mpho, Ndlovu, Nhlamulo, Ngcobo, Nompumelelo, Noble, Julia, Ntamo, Bantubonke Bertrum, Ntanjana, Gloria, Ntshauba, Tedrius, Opperman, Fajwa, Padayatchi, Nesri, Papalagae, Thandiwe, Petersen, Christel, Phakathi, Themba, Phatshwane, Mapule Ozma, Plaatjie, Patiswa, Pretorius, Abe, Rameetse, Victor Kgothatso, Ramjit, Dirhona, Ratangee, Frances, Ratangee, Maigan, Sanyaka, Pearl Nomsa, Sato, Alicia, Schoeman, Elisma, Schreuder, Constance, Seabela, Letlhogonolo, Segaetsho, Kelebogile Magdeline, Sein, Ni Ni, Selepe, Raesibe Agnes Pearl, Senne, Melissa Neo, September, Alison, September, Cashwin, Serake, Moeti, Shenje, Justin, Shezi, Thandiwe, Shezi, Sifiso Cornelius, Sing, Phindile, Singh, Chandrapharbha, Sithetho, Zona, Solomons, Dorothy, Stanley, Kim, Steyn, Marcia, Stofile, Bongiwe, Stryers, Sonia, Swanepoel, Liticia, Swarts, Anne, Thaba, Mando Mmakhora, Theko, Lethabo Collen, Thembela, Philile, Thompo, Mugwena, Toefy, Asma, Toto, Khayalethu, Tsagae, Dimakatso Sylvia, Tsamane, Ayanda, Tshikovhi, Vincent, Tswaile, Lebogang Isaac, Tyambetyu, Petrus, Tönsing, Susanne, Valley, Habibullah, van der Merwe, Linda, van Rooyen, Elma, Veldsman, Ashley, Veldtsman, Helen, Vollenhoven, Kelvin, Zaca, Londiwe, Zimri, Elaine, Zulu, Mbali, Mendelsohn, Simon C, Fiore-Gartland, Andrew, Penn-Nicholson, Adam, Mulenga, Humphrey, Mbandi, Stanley Kimbung, Borate, Bhavesh, Hadley, Katie, Hikuam, Chris, Musvosvi, Munyaradzi, Bilek, Nicole, Erasmus, Mzwandile, Jaxa, Lungisa, Raphela, Rodney, Nombida, Onke, Kaskar, Masooda, Sumner, Tom, White, Richard G, Innes, Craig, Brumskine, William, Hiemstra, Andriëtte, Malherbe, Stephanus T, Hassan-Moosa, Razia, Tameris, Michèle, Walzl, Gerhard, Naidoo, Kogieleum, Churchyard, Gavin, Scriba, Thomas J, and Hatherill, Mark
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- 2021
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39. Safety and immunogenicity of the adjunct therapeutic vaccine ID93 + GLA-SE in adults who have completed treatment for tuberculosis: a randomised, double-blind, placebo-controlled, phase 2a trial
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Beckmann, Anna Marie, Hsu, Fan-Chi, Albertson, Sarah, Veldsman, Ashley, Schreuder, Constance, Smit, Erica, Cloete, Yolundi, Ontong, Cynthia, Filander, Elisabeth, Jacobs, Gail, Keyser, Alana, Africa, Hadn, Mulenga, Humphrey, Noble, Julia, Makhethe, Lebohang, Steyn, Marcia, de Kock, Marwou, Quaqua, Nambitha, Lu, Yiwen, Gutschmidt, Andrea, Thienemann, Friedrich, Kahn, Stuart, Mouton, Angelique, Van Rooyen, Elma, Opperman, Fajwa, Swarts, Ann, Van Schalkwyk, Amaryl, Herselman, Yolandi, Hofmeester, Devona, Amsterdam, Julia, Hassanally, Leya, van der Merwe, Linda, Companie, Alessandro, Rossouw, Susan, Jones, Carolyn, Botes, Natasja, van der Riet, Elize, Goliath, Sandra, Kruger, Sandra, Sinandile, Eunice, Day, Tracey A, Penn-Nicholson, Adam, Luabeya, Angelique Kany Kany, Fiore-Gartland, Andrew, Du Plessis, Nelita, Loxton, Andre G, Vergara, Julie, Rolf, Tom A, Reid, Tim D, Toefy, Asma, Shenje, Justin, Geldenhuys, Hendrik, Tameris, Michele, Mabwe, Simbarashe, Bilek, Nicole, Bekker, Linda-Gail, Diacon, Andreas, Walzl, Gerhard, Ashman, Jill, Frevol, Aude, Sagawa, Zachary K, Lindestam Arlehamn, Cecilia, Sette, Alessandro, Reed, Steven G, Coler, Rhea N, Scriba, Thomas J, and Hatherill, Mark
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- 2021
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40. Sequential inflammatory processes define human progression from M. tuberculosis infection to tuberculosis disease
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Scriba, Thomas J, Penn-Nicholson, Adam, Shankar, Smitha, Hraha, Tom, Thompson, Ethan G, Sterling, David, Nemes, Elisa, Darboe, Fatoumatta, Suliman, Sara, Amon, Lynn M, Mahomed, Hassan, Erasmus, Mzwandile, Whatney, Wendy, Johnson, John L, Boom, W Henry, Hatherill, Mark, Valvo, Joe, De Groote, Mary Ann, Ochsner, Urs A, Aderem, Alan, Hanekom, Willem A, and Zak, Daniel E
- Subjects
Biomedical and Clinical Sciences ,Immunology ,Genetics ,Tuberculosis Vaccine ,Tuberculosis ,Emerging Infectious Diseases ,Lung ,Vaccine Related ,Immunization ,Clinical Research ,Infectious Diseases ,Prevention ,Rare Diseases ,Biotechnology ,Aetiology ,2.1 Biological and endogenous factors ,Inflammatory and immune system ,Infection ,Good Health and Well Being ,Adolescent ,Child ,Disease Progression ,Humans ,Inflammation ,Mycobacterium tuberculosis ,T-Lymphocytes ,Vaccines ,other members of the ACS cohort study team ,Microbiology ,Medical Microbiology ,Virology ,Medical microbiology - Abstract
Our understanding of mechanisms underlying progression from Mycobacterium tuberculosis infection to pulmonary tuberculosis disease in humans remains limited. To define such mechanisms, we followed M. tuberculosis-infected adolescents longitudinally. Blood samples from forty-four adolescents who ultimately developed tuberculosis disease (“progressors”) were compared with those from 106 matched controls, who remained healthy during two years of follow up. We performed longitudinal whole blood transcriptomic analyses by RNA sequencing and plasma proteome analyses using multiplexed slow off-rate modified DNA aptamers. Tuberculosis progression was associated with sequential modulation of immunological processes. Type I/II interferon signalling and complement cascade were elevated 18 months before tuberculosis disease diagnosis, while changes in myeloid inflammation, lymphoid, monocyte and neutrophil gene modules occurred more proximally to tuberculosis disease. Analysis of gene expression in purified T cells also revealed early suppression of Th17 responses in progressors, relative to M. tuberculosis-infected controls. This was confirmed in an independent adult cohort who received BCG re-vaccination; transcript expression of interferon response genes in blood prior to BCG administration was associated with suppression of IL-17 expression by BCG-specific CD4 T cells 3 weeks post-vaccination. Our findings provide a timeline to the different immunological stages of disease progression which comprise sequential inflammatory dynamics and immune alterations that precede disease manifestations and diagnosis of tuberculosis disease. These findings have important implications for developing diagnostics, vaccination and host-directed therapies for tuberculosis.Trial registrationClincialtrials.gov, NCT01119521.
- Published
- 2017
41. A Functional Toll-Interacting Protein Variant Is Associated with Bacillus Calmette-Guérin–Specific Immune Responses and Tuberculosis
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Shah, Javeed A, Musvosvi, Munyaradzi, Shey, Muki, Horne, David J, Wells, Richard D, Peterson, Glenna J, Cox, Jeffery S, Daya, Michelle, Hoal, Eileen G, Lin, Lin, Gottardo, Raphael, Hanekom, Willem A, Scriba, Thomas J, Hatherill, Mark, and Hawn, Thomas R
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Infectious Diseases ,Genetics ,Tuberculosis Vaccine ,Prevention ,Vaccine Related ,Rare Diseases ,Immunization ,Tuberculosis ,Aetiology ,2.1 Biological and endogenous factors ,Infection ,Inflammatory and immune system ,Good Health and Well Being ,Humans ,Immunity ,Innate ,Intracellular Signaling Peptides and Proteins ,Mycobacterium bovis ,Polymorphism ,Single Nucleotide ,Prospective Studies ,bacillus Calmette-Guerin ,tuberculosis ,Toll interacting protein ,adaptiye immunity ,genetics ,Toll-interacting protein ,adaptive immunity ,bacillus Calmette-Guérin ,Medical and Health Sciences ,Respiratory System - Abstract
RationaleThe molecular mechanisms that regulate tuberculosis susceptibility and bacillus Calmette-Guérin (BCG)-induced immunity are mostly unknown. However, induction of the adaptive immune response is a critical step in host control of Mycobacterium tuberculosis. Toll-interacting protein (TOLLIP) is a ubiquitin-binding protein that regulates innate immune responses, including Toll-like receptor signaling, which initiate adaptive immunity. TOLLIP variation is associated with susceptibility to tuberculosis, but the mechanism by which it regulates tuberculosis immunity is poorly understood.ObjectivesTo identify functional TOLLIP variants and evaluate the role of TOLLIP variation on innate and adaptive immune responses to mycobacteria and susceptibility to tuberculosis.MethodsWe used human cellular immunology approaches to characterize the role of a functional TOLLIP variant on monocyte mRNA expression and M. tuberculosis-induced monocyte immune functions. We also examined the association of TOLLIP variation with BCG-induced T-cell responses and susceptibility to latent tuberculosis infection.Measurements and main resultsWe identified a functional TOLLIP promoter region single-nucleotide polymorphism, rs5743854, which was associated with decreased TOLLIP mRNA expression in infant monocytes. After M. tuberculosis infection, TOLLIP-deficient monocytes demonstrated increased IL-6, increased nitrite, and decreased bacterial replication. The TOLLIP-deficiency G/G genotype was associated with decreased BCG-specific IL-2+ CD4+ T-cell frequency and proliferation. This genotype was also associated with increased susceptibility to latent tuberculosis infection.ConclusionsTOLLIP deficiency is associated with decreased BCG-specific T-cell responses and increased susceptibility to tuberculosis. We hypothesize that the heightened antibacterial monocyte responses after vaccination of TOLLIP-deficient infants are responsible for decreased BCG-specific T-cell responses. Activating TOLLIP may provide a novel adjuvant strategy for BCG vaccination.
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- 2017
42. Biomarker-guided tuberculosis preventive therapy (CORTIS): a randomised controlled trial
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Baepanye, Kesenogile, Baepanye, Tshepiso, Clarke, Ken, Collignon, Marelize, Dlamini, Audrey, Eyre, Candice, Feni, Tebogo, Fikizolo, Moogo, Galane, Phinda, Goliath, Thelma, Gangat, Alia, Malefo-Grootboom, Shirley, Janse van Rensburg, Elba, Janse van Rensburg, Bonita, Kekana, Sophy, Zietsman, Marietjie, Kock, Adrianne, Kunene, Israel, Lakhi, Aneessa, Langa, Nondumiso, Ledwaba, Hilda, Luphoko, Marillyn, Mabasa, Immaculate, Mabe, Dorah, Mabuza, Nkosinathi, Majola, Molly, Makhetha, Mantai, Makoanyane, Mpho, Makhubalo, Blossom, Malay, Vernon, Market, Juanita, Matshego, Selvy, Mbipa, Nontsikelelo, Mmotsa, Tsiamo, Modipa, Sylvester, Mopati, Samuel, Moswegu, Palesa, Mothaga, Primrose, Muller, Dorothy, Nchwe, Grace, Nel, Maryna, Nhlangulela, Lindiwe, Ntamo, Bantubonke, Ntoahae, Lawerence, Ntshauba, Tedrius, Sanyaka, Nomsa, Seabela, Letlhogonolo, Selepe, Pearl, Senne, Melissa, Serake, MG, Thlapi, Maria, Tshikovhi, Vincent, Tswaile, Lebogang, van Aswegen, Amanda, Mbata, Lungile, Takavamanya, Constance, Pinho, Pedro, Mdlulu, John, Taljaard, Marthinette, Slabbert, Naydene, Sayed, Sharfuddin, Nielson, Tanya, Ni Sein, Ni, Govender, Dhineshree, Chinappa, Tilagavathy, Zulu, Mbali Ignatia, Maphanga, Nonhle Bridgette, Hlathi, Senzo Ralph, Gumede, Goodness Khanyisile, Shezi, Thandiwe Yvonne, Maphanga, Jabulisiwe Lethabo, Jali, Zandile Patrica, Cwele, Thobelani, Gwamanda, Nonhlanhla Zanele Elsie, Dlamini, Celaphiwe, Sing, Zibuyile Phindile Penlee, Ntanjana, Ntombozuko Gloria, Nzimande, Sphelele Simo, Mbatha, Siyabonga, Maharaj, Bhavna, Moosa, Atika, Corris, Cara-Mia, Kafaar, Fazlin, Geldenhuys, Hennie, Luabeya, Angelique Kany Kany, Shenje, Justin, Botes, Natasja, Rossouw, Susan, Africa, Hadn, Diamond, Bongani, Braaf, Samentra, Stryers, Sonia, Carstens, Alida, Jansen, Ruwiyda, Mabwe, Simbarashe, Mulenga, Humphrey, Herling, Roxane, Veldsman, Ashley, Makhete, Lebohgang, Steyn, Marcia, Buhlungu, Sivuyile, Erasmus, Margareth, Davids, Ilse, Plaatjie, Patiswa, Companie, Alessandro, Ratangee, Frances, Veldtsman, Helen, Petersen, Christel, Abrahams, Charmaine, Moses, Miriam, Kelepu, Xoliswa, Gregg, Yolande, Swanepoel, Liticia, Magawu, Nomsitho, Cetywayo, Nompumelelo, Mactavie, Lauren, Valley, Habibullah, Filander, Elizabeth, Nqakala, Nambitha, Maasdorp, Elizna, Khoury, Justine, Kriel, Belinda, Smith, Bronwyn, Muller, Liesel, Tonsing, Susanne, Loxton, Andre, Hiemstra, Andriette, Ahlers, Petri, Flinn, Marika, Chung, Eva, Chung, Michelle, Sato, Alicia, Scriba, Thomas J, Fiore-Gartland, Andrew, Penn-Nicholson, Adam, Kimbung Mbandi, Stanley, Borate, Bhavesh, Mendelsohn, Simon C, Hadley, Katie, Hikuam, Chris, Kaskar, Masooda, Musvosvi, Munyaradzi, Bilek, Nicole, Self, Steven, Sumner, Tom, White, Richard G, Erasmus, Mzwandile, Jaxa, Lungisa, Raphela, Rodney, Innes, Craig, Brumskine, William, Hiemstra, Andriëtte, Malherbe, Stephanus T, Hassan-Moosa, Razia, Tameris, Michèle, Walzl, Gerhard, Naidoo, Kogieleum, Churchyard, Gavin, and Hatherill, Mark
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- 2021
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43. Immune profiling of Mycobacterium tuberculosis-specific T cells in recent and remote infection
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Mpande, Cheleka A.M., Rozot, Virginie, Mosito, Boitumelo, Musvosvi, Munyaradzi, Dintwe, One B., Bilek, Nicole, Hatherill, Mark, Scriba, Thomas J., and Nemes, Elisa
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- 2021
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44. Diagnostic accuracy of plasma kynurenine/tryptophan ratio, measured by enzyme-linked immunosorbent assay, for pulmonary tuberculosis
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Adu-Gyamfi, Clement Gascua, Snyman, Tracy, Makhathini, Lillian, Otwombe, Kennedy, Darboe, Fatoumatta, Penn-Nicholson, Adam, Fisher, Michelle, Savulescu, Dana, Hoffmann, Christopher, Chaisson, Richard, Martinson, Neil, Scriba, Thomas Jens, George, Jaya Anna, and Suchard, Melinda Shelley
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- 2020
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45. Key recent advances in TB vaccine development and understanding of protective immune responses against Mycobacterium tuberculosis
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Scriba, Thomas J., Netea, Mihai G., and Ginsberg, Ann M.
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- 2020
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46. γδ T cell antigen receptor polyspecificity enables T cell responses to a broad range of immune challenges
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Guo, Jing, primary, Chowdhury, Roshni Roy, additional, Mallajosyula, Vamsee, additional, Xie, Jianming, additional, Dubey, Megha, additional, Liu, Yuanyuan, additional, Li, Jing, additional, Wei, Yu-ling, additional, Palanski, Brad A., additional, Wang, Conghua, additional, Qiu, Lingfeng, additional, Ohanyan, Mané, additional, Kask, Oliver, additional, Sola, Elsa, additional, Kamalyan, Lilit, additional, Lewis, David B., additional, Scriba, Thomas J., additional, Davis, Mark M., additional, Dodd, Dylan, additional, Zeng, Xun, additional, and Chien, Yueh-hsiu, additional
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- 2024
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47. A Quantitative Analysis of Complexity of Human Pathogen-Specific CD4 T Cell Responses in Healthy M. tuberculosis Infected South Africans.
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Lindestam Arlehamn, Cecilia S, McKinney, Denise M, Carpenter, Chelsea, Paul, Sinu, Rozot, Virginie, Makgotlho, Edward, Gregg, Yolande, van Rooyen, Michele, Ernst, Joel D, Hatherill, Mark, Hanekom, Willem A, Peters, Bjoern, Scriba, Thomas J, and Sette, Alessandro
- Subjects
CD4-Positive T-Lymphocytes ,Humans ,Mycobacterium tuberculosis ,Tuberculosis ,Antigens ,Bacterial ,HLA Antigens ,Epitopes ,T-Lymphocyte ,Fluorescent Antibody Technique ,Adult ,South Africa ,Female ,Male ,Enzyme-Linked Immunospot Assay ,Antigens ,Bacterial ,Epitopes ,T-Lymphocyte ,Virology ,Microbiology ,Immunology ,Medical Microbiology - Abstract
We performed a quantitative analysis of the HLA restriction, antigen and epitope specificity of human pathogen specific responses in healthy individuals infected with M. tuberculosis (Mtb), in a South African cohort as a test case. The results estimate the breadth of T cell responses for the first time in the context of an infection and human population setting. We determined the epitope repertoire of eleven representative Mtb antigens and a large panel of previously defined Mtb epitopes. We estimated that our analytic methods detected 50-75% of the total response in a cohort of 63 individuals. As expected, responses were highly heterogeneous, with responses to a total of 125 epitopes detected. The 66 top epitopes provided 80% coverage of the responses identified in our study. Using a panel of 48 HLA class II-transfected antigen-presenting cells, we determined HLA class II restrictions for 278 epitope/donor recognition events (36% of the total). The majority of epitopes were restricted by multiple HLA alleles, and 380 different epitope/HLA combinations comprised less than 30% of the estimated Mtb-specific response. Our results underline the complexity of human T cell responses at a population level. Efforts to capture and characterize this broad and highly HLA promiscuous Mtb-specific T cell epitope repertoire will require significant peptide multiplexing efforts. We show that a comprehensive "megapool" of Mtb peptides captured a large fraction of the Mtb-specific T cells and can be used to characterize this response.
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- 2016
48. A Quantitative Analysis of Complexity of Human Pathogen-Specific CD4 T Cell Responses in Healthy M. tuberculosis Infected South Africans
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Arlehamn, Cecilia S Lindestam, McKinney, Denise M, Carpenter, Chelsea, Paul, Sinu, Rozot, Virginie, Makgotlho, Edward, Gregg, Yolande, van Rooyen, Michele, Ernst, Joel D, Hatherill, Mark, Hanekom, Willem A, Peters, Bjoern, Scriba, Thomas J, and Sette, Alessandro
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Vaccine Related ,Clinical Research ,Biodefense ,Infectious Diseases ,Tuberculosis ,Rare Diseases ,Emerging Infectious Diseases ,Prevention ,HIV/AIDS ,Aetiology ,2.1 Biological and endogenous factors ,Infection ,Good Health and Well Being ,Adult ,Antigens ,Bacterial ,CD4-Positive T-Lymphocytes ,Enzyme-Linked Immunospot Assay ,Epitopes ,T-Lymphocyte ,Female ,Fluorescent Antibody Technique ,HLA Antigens ,Humans ,Male ,Mycobacterium tuberculosis ,South Africa ,Microbiology ,Immunology ,Medical Microbiology ,Virology - Abstract
We performed a quantitative analysis of the HLA restriction, antigen and epitope specificity of human pathogen specific responses in healthy individuals infected with M. tuberculosis (Mtb), in a South African cohort as a test case. The results estimate the breadth of T cell responses for the first time in the context of an infection and human population setting. We determined the epitope repertoire of eleven representative Mtb antigens and a large panel of previously defined Mtb epitopes. We estimated that our analytic methods detected 50-75% of the total response in a cohort of 63 individuals. As expected, responses were highly heterogeneous, with responses to a total of 125 epitopes detected. The 66 top epitopes provided 80% coverage of the responses identified in our study. Using a panel of 48 HLA class II-transfected antigen-presenting cells, we determined HLA class II restrictions for 278 epitope/donor recognition events (36% of the total). The majority of epitopes were restricted by multiple HLA alleles, and 380 different epitope/HLA combinations comprised less than 30% of the estimated Mtb-specific response. Our results underline the complexity of human T cell responses at a population level. Efforts to capture and characterize this broad and highly HLA promiscuous Mtb-specific T cell epitope repertoire will require significant peptide multiplexing efforts. We show that a comprehensive "megapool" of Mtb peptides captured a large fraction of the Mtb-specific T cells and can be used to characterize this response.
- Published
- 2016
49. Select sequencing of clonally expanded CD8⁺ T cells reveals limits to clonal expansion
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Huang, Huang, Sikora, Michael J., Islam, Saiful, Chowdhury, Roshni Roy, Chien, Yueh-hsiu, Scriba, Thomas J., Davis, Mark M., and Steinmetz, Lars M.
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- 2019
50. S100A8/A9 regulates CD11b expression and neutrophil recruitment during chronic tuberculosis
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Scott, Ninecia R., Swanson, Rosemary V., Hammadi, Noor Al-, Domingo-Gonzalez, Racquel, Rangel-Moreno, Javier, Kriel, Belinda A., Bucsan, Allison N., Das, Shibali, Ahmed, Mushtaq, Mehra, Smriti, Treerat, Puthayalai, Cruz- Lagunas, Alfredo, Jimenez-Alvarez, Luis, Munoz-Torrico, Marcela, Bobadilla-Lozoya, Karen, Vogl, Thomas, Walzl, Gerhard, Plessis, Nelita du, Kaushal, Deepak, Scriba, Thomas J., Zuniga, Joaquin, and Khader, Shabaana A.
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Tree Star Inc. ,BCG -- Analysis -- Health aspects ,Medical research -- Analysis -- Health aspects ,Software industry -- Analysis -- Health aspects ,Integrins -- Analysis -- Health aspects ,Tuberculosis -- Development and progression ,RNA -- Analysis -- Health aspects ,Health care industry - Abstract
Neutrophil accumulation is associated with lung pathology during active tuberculosis (ATB). However, the molecular mechanism or mechanisms by which neutrophils accumulate in the lung and contribute to TB immunopathology are not fully delineated. Using the well-established mouse model of TB, our new data provide evidence that the alarmin S100A8/A9 mediates neutrophil accumulation during progression to chronic TB. Depletion of neutrophils or S100A8/A9 deficiency resulted in improved Mycobacterium tuberculosis (Mtb) control during chronic but not acute TB. Mechanistically, we demonstrate that, following Mtb infection, S100A8/A9 expression is required for upregulation of the integrin molecule CD11b specifically on neutrophils, mediating their accumulation during chronic TB disease. These findings are further substantiated by increased expression of S100A8 and S100A9 mRNA in whole blood in human TB progressors when compared with nonprogressors and rapidly decreased S100A8/A9 protein levels in the serum upon TB treatment. Furthermore, we demonstrate that S100A8/ A9 serum levels along with chemokines are useful in distinguishing between ATB and asymptomatic Mtb-infected latent individuals. Thus, our results support targeting S100A8/A9 pathways as host- directed therapy for TB., Introduction Mycobacterium tuberculosis (Mtb), the causative agent of the disease tuberculosis (TB), is estimated to infect one-fourth of the world's population and results in approximately 1.6 million deaths each year [...]
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- 2020
- Full Text
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