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. 2024 Jan 3;43(3):611–616. doi: 10.1007/s10096-023-04741-3

Differences in PPD- and mitogen-induced T-cell activation marker expression characterize immunopathology in acute tuberculosis patients

Isaac Acheampong 1,2, Difery Minadzi 1, Edwin F Laing 3, Michael Frimpong 3, Monika M Vivekanandan 1, Augustine Yeboah 1, Ernest Adankwah 1,2, Wilfred Aniagyei 1, Joseph F Arthur 1, Millicent Lamptey 1, Mohammed K Abass 4, Francis Kumbel 5, Francis Osei-Yeboah 6, Amidu Gawusu 7, Linda Batsa Debrah 1, Dorcas O Owusu 1, Alexander Debrah 1, Ertan Mayatepek 8, Julia Seyfarth 8, Richard O Phillips 1,3, Marc Jacobsen 8,
PMCID: PMC10917863  PMID: 38167987

Abstract

Impaired T-cell responses to mitogens and high T-cell activation marker (TAM) expression on Mycobacterium tuberculosis–specific T-cells characterize immunopathology in patients with tuberculosis (TB). In a study of patients with TB (n = 60) and asymptomatic contacts (controls, n = 37), we found that TB patients had higher CD38+ T-cell proportions specific for M. tuberculosis protein (PPDMtb), yet total proportions of PPDMtb-specific T-cells were comparable. Notably, both activated (CD38+) and total IFN-γ+ T-cells from TB patients had lower mitogen (phytohemagglutinin, PHA)-induced responses. This impaired mitogen response improved the classification efficacy of the TAM-TB assay, especially employing the PPD/PHA-induced T-cell ratio.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10096-023-04741-3.

Keywords: Tuberculosis, Immunopathology, Mitogen, T-cell activation marker, Anergy

Introduction

Tuberculosis remains a major health threat with approximately 10 million new cases and 2 million deaths occurring annually [1]. M. tuberculosis infection progresses towards acute disease in approximately 10% of index patient contacts; however, it remains asymptomatic in the vast majority of individuals due to effective immune surveillance [2]. T-helper type 1 (TH1) response is of central importance for host protection, but TH1 quantification (e.g., of the key cytokine IFN-γ) does not distinguish between patients with tuberculosis and asymptomatic M. tuberculosis infection [2]. However, the characterization of M. tuberculosis–specific TH1 cells by including markers of recent activation (e.g., CD38, HLA-DR) showed that this approach—termed TAM-TB—is able to identify patients with acute tuberculosis [3]. The TAM-TB assay combines in vitro stimulation of whole blood samples with M. tuberculosis antigens and positive control (e.g., PHA) with flow cytometry–based characterization of T-cell phenotypes.

It is well-described that immunopathology causes impaired T-cell responses in a subgroup of patients with acute tuberculosis [4, 5]. Different mechanisms identified to contribute to immune inhibition and antigen-specific as well as PHA-induced T-cells were shown to be affected in TB patients [6, 7]. Recent studies showed impaired PHA response of patients with tuberculosis in IFN-γ release assays (IGRA) and demonstrated the applicability of this marker for diagnosis of tuberculosis disease and for monitoring treatment efficacy [810]. In the present study, we investigated the influence of TB pathology-mediated inhibitory effects on the TAM-TB assay by comparing TB patients prior to treatment onset with asymptomatic contacts.

Material and methods

Study cohorts and clinical characterization

We recruited tuberculosis patients (n = 60) and asymptomatic contacts (controls) between April 2019 and September 2021 from the Agogo Presbyterian Hospital, St. Mathias Catholic Hospital, and Atebubu District Hospital in Ghana. Blood samples were collected before initiation of treatment. Diagnosis of tuberculosis was based on the described criteria [11]. Some of the samples from both cohorts were included in previous studies [1113]. Controls were selected on the described criteria that showed high reliability in identifying individuals with previous M. tuberculosis infection caused by a respective index TB patient [8, 14]. Controls were then preselected on the basis of PPD-specific CD4+IFN-γ+ response (> 0.02%). Of the 47 tested, 37 controls fulfilled the criteria and were included in this study (Table 1).

Table 1.

Characteristics of study participants

Parameter TB (n = 60) Controls (n = 47) P-value
Age (Mean ± SD) 46 ± 15.15 47.73 ± 12.96 0.5658
Gender Male, n (%) 44 (73.3%) 20 (54.05%) 0.0769
Female, n (%) 16 (26.7%) 17 (45.95%)
Chest X-ray Suggestive, n (%) 40 (66.7%) NA NA
GeneXpert Positive, n (%) 53 (88.3%) NA NA
Smear Positive, n (%) 50 (83.3%) NA NA
Scanty n (%) 6 (12.0%) NA NA
+1, n (%) 3 (6.0%) NA NA
+2, n (%) 32 (64.0%) NA NA
+3, n (%) 9 (18.0%) NA NA
Culture Positive, n (%) 47 (78.3%) NA NA
Cough > 2 weeks, n (%) 48 (80.0%) NA NA
Chest pains N (%) 33 (55.0%) NA NA
Hemoptysis N (%) 45 (75.0%) NA NA
Weight loss N (%) 48 (80.0%) NA NA
Fever N (%) 65 (76.7%) NA NA
Night sweats N (%) 66 (75.0%) NA NA

N number, NA not applicable, TB tuberculosis patients

Age (t-test), Gender (Fisher’s exact test)

The TAM-TB assay

The TAM-TB assay was performed as described [3]. In brief, diluted whole blood was stimulated using ESAT6/CFP10 (2 μg/ml), protein derivative of M. tuberculosis (PPDMtb; 10 μg/ml) or PHA (10 μg/ml), as well as costimulatory antibodies (i.e, αCD28 and CD49d; 1 μg/ml each). After overnight culture in the presence of Brefeldin A, samples were stained with the following antibodies: α CD3-FITC (clone HIT3a), αCD4-PerCP-Cy5.5 (clone RPA-T4), αCD38-APC (clone HIT2), and αIFNγ-PE (clone B27), all BioLegend, and measured using a BD Acurri C6 flow cytometer. Data analyses were done using FlowJo (BD). Minimum detection was set at 0.001%. The gating strategy is illustrated in Supplementary Figure 1.

Statistics

Non-parametric Mann–Whitney U-test to compare cases and contacts was performed using GraphPad Prism v9. Receiver operating characteristic (ROC) was performed to evaluate the discrimination efficacy of different parameters. A p-value below 0.05 was considered statistically significant.

Results and discussion

Whole blood in vitro stimulation and flow cytometry phenotype analysis of samples from tuberculosis patients and contacts were performed using M. tuberculosis antigens (i.e., PPDMtb, ESAT6_CFP10), and the mitogen, PHA, PPDMtb, and ESAT6_CFP10-induced proportions of IFN-γ+ T-cell were similar between the study groups (Supplementary Figure 2). In contrast, the inclusion of CD38, a marker of recent activation, for the gating detected higher proportions of PPD-specific IFN-γ+/CD38+/CD4+ T-cells in patients with TB as compared to controls (p < 0.0001; Fig. 1a). No differences were seen for ESAT6_CFP10-specific T-cells (p = 0.8941; Fig. 1a). The results for PPD were in accordance with previous studies demonstrating higher proportions of recently activated M. tuberculosis–specific T-cells in blood samples from patients with TB [3]. Notably, significant differences were seen in the response against PHA. PHA induced lower proportions of IFN-γ+/CD38+/CD4+ T-cells in samples from patients with TB as compared to contacts (p < 0.0001; Fig. 1a). Since similar differences were seen also for all IFN-γ+/CD4+ T-cells independent of recent activation (Supplementary Figure 2), we concluded that described immunopathology effects are likely causative for reduced PHA response in patients with TB. Inflammatory pathways were shown to be associated with hyporesponsive T-cell responses in tuberculosis patients [4, 15]. Hypermethylation of DNA as well as constitutive STAT3 phosphorylation were identified as potential underlying mechanisms [7, 15]. Both, pathogen-mediated and plasma milieu effects, were identified as potential triggers [5]. In this context, a recent study found a negative correlation between high IL-6 plasma levels and impaired PHA response in TB patients [12]. No differences were detected between TB patients with high or low M. tuberculosis sputum burden (Supplementary Figure 3) or between female and male TB patients (Supplementary Figure 4).

Fig. 1.

Fig. 1

PPDMtb and PHA-induced differences in IFN-γ+/CD38+/CD4+ T-cells discriminate between TB patients and controls. M. tuberculosis antigens (i.e., PPDMtb, ESAT6_CFP10) and phytohemagglutinin (PHA)-specific IFN-γ expressing CD4+ T-cell proportions from the in vitro culture (20 h) were measured by flow cytometry in whole blood samples from tuberculosis patients (TB, n = 60) and contacts (controls, n = 37). a Comparisons of PPDMtb, ESAT6_CFP10 and PHA-specific IFN-γ expressing CD4+ T-cell proportions between the study groups of TB patients (dark grey background) and controls (open background) are shown as violin plots with stagged symbols (indicating individual donor values). A two-tailed Mann–Whitney U-test analysis was employed, and nominal p-values are shown. b Receiver operating characteristic (ROC) analyses for discrimination of TB patients and controls for PPDMtb and mitogen-specific IFN-γ expressing CD4+ T-cell proportions are shown. Area under curve (AUC) and nominal p-values are shown. c Ratio of PPDMtb/PHA-induced IFN-γ+/CD38+/CD4+ T-cell proportions of TB (triangle symbols, open background) patients and controls (circular symbols, grey background) are shown as scattered symbol plots with lines indicating median and interquartile ranges. A two-tailed Mann–Whitney U-test analysis was employed, and nominal p-values are shown. d ROC analysis for discrimination of TB patients and controls for the ratio of PPDMtb/PHA-induced IFN-γ+/CD38+/CD4+ T-cell proportions. AUC and nominal p-values are shown

Next, we applied values for PPDMtb and PHA responses to determine the discriminating capacity of these markers using receiver operating characteristic (ROC) analyses. PPDMtb- and PHA-induced IFN-γ+/CD38+/CD4+ T-cell proportions were able to distinguish participants from both study groups with moderate efficacy (AUC, p-value; PPDMtb, 0.83, p < 0.0001; PHA, 0.76, p < 0.0001; Fig. 1b). Previous studies indicated that a combination of both, PPDMtb- and PHA-specific responses, may improve discrimination between TB patients and controls [10, 12, 16]. PPD/PHA ratios were calculated and significant differences between the study groups were detected (p < 0.0001; Fig. 1c). Notably, ROC-based discrimination detected a strong capacity of PPDMtb/PHA T-cell response ratios to distinguish between the study groups (AUC = 0.90, p < 0.0001; Fig. 1d). These results confirmed the capacity of the TAM-TB assay to classify tuberculosis disease and showed the effects of immunopathology that can add to diagnosis.

Supplementary information

ESM 1 (306KB, pdf)

(PDF 306 kb)

Acknowledgements

We would like to thank all study participants, study nurses, and physicians for supporting this investigation.

Author contribution

Isaac Acheampong and Difery Minadzi performed the experiments. Linda Batsa Debrah, Dorcas Ohui Owusu, Michael Frimpong, Joseph Fosu Arthur, Augustine Yeboah, Wilfred Aniagyei, Millicent Lamptey, Monika Mira Vivekanandan, Mohammed K. Abass, Francis Kubel, Francis Osei Yeboah, and Amidu Gawusu recruited patients and coordinated the field activities. Richard Odame Pillips and Mark Jacobsen designed the study. Richard Odame Phillips, Alexander Debrah, Edwin Ferguson Laing, and Mark Jacobsen supervised the study. Richard Odame Philips, Julia Seyfarth, and Mark Jacobsen provided reagents and expertise. Isaac Acheampong and Ernest Adankwah analyzed the data. Mark Jacobsen and Isaac Acheampong wrote the manuscript. Ertan Mayatepek and Julia Seyfarth reviewed, proofread, and contributed to the finalization of the manuscript. All authors reviewed the final draft.

Funding

Open Access funding enabled and organized by Projekt DEAL. This study was supported by the German Research Foundation (DFG, JA 1479/9-1). The funder had no role in the study design, data collection, data analysis, decision to publish, or preparation of the manuscript.

Data availability

The dataset generated during this study is available from the corresponding author upon reasonable request.

Declarations

Ethical approval

The study was approved by the Committee on Human Research, Publication and Ethics (CHRPE/AP/023/18) at the School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology (KNUST) in Kumasi, Ghana.

Consent to participate

All study subjects gave written informed consent before recruitment.

Consent for publication

All Authors affirm that study subjects consented to project data analysis for the purpose of publication.

Conflict of interest

The authors declare no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

ESM 1 (306KB, pdf)

(PDF 306 kb)

Data Availability Statement

The dataset generated during this study is available from the corresponding author upon reasonable request.


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