Literature DB >> 33679684

Monitoring Anti-tuberculosis Treatment Response Using Analysis of Whole Blood Mycobacterium tuberculosis Specific T Cell Activation and Functional Markers.

Molly A Vickers1,2, Fatoumatta Darboe2, Caleb N Muefong2, Georgetta Mbayo2, Amadou Barry2, Awa Gindeh2, Sainabou Njie2, Abi-Janet Riley2, Binta Sarr2, Basil Sambou2, Hazel M Dockrell1, Salome Charalambous3, Andrea Rachow4,5, Olumuyiwa Owolabi2, Shamanthi Jayasooriya2,6, Jayne S Sutherland2.   

Abstract

Background: Blood-based biomarkers have been proposed as an alternative to current sputum-based treatment monitoring methods in active tuberculosis (ATB). The aim of this study was to validate previously described phenotypic, activation, and cytokine markers of treatment response in a West African cohort.
Methods: Whole blood immune responses to Mycobacterium tuberculosis ESAT-6/CFP-10 (EC) and purified protein derivative (PPD) were measured in twenty adults at baseline and after 2 months of standard TB treatment. Patients were classified as fast or slow responders based on a negative or positive sputum culture result at 2 months, respectively. Cellular expression of activation markers (CD38, HLA-DR), memory markers (CD27), and functional intracellular cytokine and proliferation (IFN-γ, Ki-67, TNF-α) markers were measured using multi-color flow cytometry.
Results: There was a significant increase in the proportion of CD4+CD27+ cells expressing CD38 and HLA-DR following EC stimulation at 2 months compared to baseline (p = 0.0328 and p = 0.0400, respectively). Following PPD stimulation, slow treatment responders had a significantly higher proportion of CD8+CD27-IFN-γ+ (p = 0.0105) and CD4+CD27+HLA-DR+CD38+ (p = 0.0077) T cells than fast responders at baseline. Receiver operating curve analysis of these subsets resulted in 80% sensitivity and 70 and 100% specificity, respectively (AUC of 0.82, p = 0.0156 and 0.84, p = 0.0102).
Conclusion: Our pilot data show reductions in expression of T cell activation markers were seen with treatment, but this was not associated with fast or slow sputum conversion at 2 months. However, baseline proportions of activated T cell subsets are potentially predictive of the subsequent speed of response to treatment.
Copyright © 2020 Vickers, Darboe, Muefong, Mbayo, Barry, Gindeh, Njie, Riley, Sarr, Sambou, Dockrell, Charalambous, Rachow, Owolabi, Jayasooriya and Sutherland.

Entities:  

Keywords:  activation markers; cytokines; immunity; treatment; tuberculosis

Year:  2020        PMID: 33679684      PMCID: PMC7931252          DOI: 10.3389/fimmu.2020.572620

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


  33 in total

1.  Biomarkers on patient T cells diagnose active tuberculosis and monitor treatment response.

Authors:  Toidi Adekambi; Chris C Ibegbu; Stephanie Cagle; Ameeta S Kalokhe; Yun F Wang; Yijuan Hu; Cheryl L Day; Susan M Ray; Jyothi Rengarajan
Journal:  J Clin Invest       Date:  2015-03-30       Impact factor: 14.808

2.  Activation Profile of Mycobacterium tuberculosis-Specific CD4(+) T Cells Reflects Disease Activity Irrespective of HIV Status.

Authors:  Katalin A Wilkinson; Tolu Oni; Hannah P Gideon; Rene Goliath; Robert J Wilkinson; Catherine Riou
Journal:  Am J Respir Crit Care Med       Date:  2016-06-01       Impact factor: 21.405

3.  Assessment of the novel T-cell activation marker-tuberculosis assay for diagnosis of active tuberculosis in children: a prospective proof-of-concept study.

Authors:  Damien Portevin; Felicien Moukambi; Petra Clowes; Asli Bauer; Mkunde Chachage; Nyanda E Ntinginya; Elirehema Mfinanga; Khadija Said; Frederick Haraka; Andrea Rachow; Elmar Saathoff; Maximilian Mpina; Levan Jugheli; Fred Lwilla; Ben J Marais; Michael Hoelscher; Claudia Daubenberger; Klaus Reither; Christof Geldmacher
Journal:  Lancet Infect Dis       Date:  2014-08-31       Impact factor: 25.071

4.  SPICE: exploration and analysis of post-cytometric complex multivariate datasets.

Authors:  Mario Roederer; Joshua L Nozzi; Martha C Nason
Journal:  Cytometry A       Date:  2011-01-07       Impact factor: 4.355

5.  Analysis of the Phenotype of Mycobacterium tuberculosis-Specific CD4+ T Cells to Discriminate Latent from Active Tuberculosis in HIV-Uninfected and HIV-Infected Individuals.

Authors:  Catherine Riou; Natacha Berkowitz; Rene Goliath; Wendy A Burgers; Robert J Wilkinson
Journal:  Front Immunol       Date:  2017-08-10       Impact factor: 7.561

6.  Phenotypic Changes on Mycobacterium Tuberculosis-Specific CD4 T Cells as Surrogate Markers for Tuberculosis Treatment Efficacy.

Authors:  Mohamed I M Ahmed; Nyanda E Ntinginya; Gibson Kibiki; Bariki A Mtafya; Hadija Semvua; Stellah Mpagama; Charles Mtabho; Elmar Saathoff; Kathrin Held; Rebecca Loose; Inge Kroidl; Mkunde Chachage; Ulrich von Both; Antelmo Haule; Anna-Maria Mekota; Martin J Boeree; Stephen H Gillespie; Michael Hoelscher; Norbert Heinrich; Christof Geldmacher
Journal:  Front Immunol       Date:  2018-09-28       Impact factor: 7.561

7.  The TAM-TB Assay-A Promising TB Immune-Diagnostic Test With a Potential for Treatment Monitoring.

Authors:  Mohamed I M Ahmed; Christian Ziegler; Kathrin Held; Ilja Dubinski; Julia Ley-Zaporozhan; Christof Geldmacher; Ulrich von Both
Journal:  Front Pediatr       Date:  2019-02-11       Impact factor: 3.418

Review 8.  Cell Differentiation Degree as a Factor Determining the Role for Different T-Helper Populations in Tuberculosis Protection.

Authors:  Irina Lyadova; Irina Nikitina
Journal:  Front Immunol       Date:  2019-05-08       Impact factor: 7.561

9.  Biomarkers of Tuberculosis Severity and Treatment Effect: A Directed Screen of 70 Host Markers in a Randomized Clinical Trial.

Authors:  G B Sigal; M R Segal; A Mathew; L Jarlsberg; M Wang; S Barbero; N Small; K Haynesworth; J L Davis; M Weiner; W C Whitworth; J Jacobs; J Schorey; D M Lewinsohn; P Nahid
Journal:  EBioMedicine       Date:  2017-10-24       Impact factor: 8.143

10.  Active Tuberculosis Is Characterized by Highly Differentiated Effector Memory Th1 Cells.

Authors:  Riccardo Arrigucci; Karim Lakehal; Pooja Vir; Deborah Handler; Amy L Davidow; Rosa Herrera; Julia Dolores Estrada-Guzmán; Yuri Bushkin; Sanjay Tyagi; Alfred A Lardizabal; Maria Laura Gennaro
Journal:  Front Immunol       Date:  2018-09-19       Impact factor: 7.561

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  4 in total

1.  In-Depth Immunophenotyping With Mass Cytometry During TB Treatment Reveals New T-Cell Subsets Associated With Culture Conversion.

Authors:  Carole Chedid; Thibault Andrieu; Eka Kokhreidze; Nestani Tukvadze; Samanta Biswas; Md Fahim Ather; Mohammad Khaja Mafij Uddin; Sayera Banu; Flavio De Maio; Giovanni Delogu; Hubert Endtz; Delia Goletti; Marc Vocanson; Oana Dumitrescu; Jonathan Hoffmann; Florence Ader
Journal:  Front Immunol       Date:  2022-03-22       Impact factor: 8.786

2.  CD38 Expression by Antigen-Specific CD4 T Cells Is Significantly Restored 5 Months After Treatment Initiation Independently of Sputum Bacterial Load at the Time of Tuberculosis Diagnosis.

Authors:  Hellen Hiza; Jerry Hella; Ainhoa Arbués; Mohamed Sasamalo; Veronica Misana; Jacques Fellay; Sébastien Gagneux; Klaus Reither; Damien Portevin
Journal:  Front Med (Lausanne)       Date:  2022-04-15

3.  Persistent expression of activation markers on Mycobacterium tuberculosis-specific CD4 T cells in smear negative TB patients.

Authors:  Ahmed Esmael; Adane Mihret; Tamrat Abebe; Daniel Mussa; Sebsibe Neway; Joel Ernst; Jyothi Rengarajan; Liya Wassie; Rawleigh Howe
Journal:  PLoS One       Date:  2022-08-30       Impact factor: 3.752

4.  Study of CD27, CD38, HLA-DR and Ki-67 immune profiles for the characterization of active tuberculosis, latent infection and end of treatment.

Authors:  Sergio Díaz-Fernández; Raquel Villar-Hernández; Zoran Stojanovic; Marco Fernández; Maria Luiza De Souza Galvão; Guillermo Tolosa; Adrián Sánchez-Montalva; Jorge Abad; María Ángeles Jiménez-Fuentes; Guillem Safont; Iris Romero; Josefina Sabrià; Cristina Prat; Jose Domínguez; Irene Latorre
Journal:  Front Microbiol       Date:  2022-07-22       Impact factor: 6.064

  4 in total

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