Literature DB >> 28890660

Flow Cytometric Immune Profiling in Infliximab-Associated Tuberculosis.

Kelly Pennington1, Humberto C Sasieta1, Guiherme P Ramos2, Courtney L Erskine3, Virginia P Van Keulen3, Tobias Peikert1, Patricio Escalante1,4.   

Abstract

Tumor necrosis factor α antagonists are increasingly used to treat inflammatory and autoimmune disorders and are associated with increased risk of active tuberculosis. Diagnosis of active tuberculosis in patients taking tumor necrosis factor α antagonists can be challenging owing to increased incidence of extrapulmonary manifestations and false-negative results on current available diagnostic tests. We present a case of a young woman on infliximab for ulcerative colitis who presented with disseminated tuberculosis. As part of a research study, we performed flow cytometric immune profiling, which has previously not been reported in patients with active tuberculosis taking tumor necrosis α antagonists. The flow cytometry results were within the positive thresholds for tuberculosis infection. Flow cytometric immune profiling may be a valid diagnostic tool for patients taking tumor necrosis factor α antagonists.

Entities:  

Keywords:  Tumor necrosis factor alpha antagonists; active tuberculosis; flow cytometry; inflammatory bowel disease

Year:  2017        PMID: 28890660      PMCID: PMC5574471          DOI: 10.1177/1179547617724776

Source DB:  PubMed          Journal:  Clin Med Insights Case Rep        ISSN: 1179-5476


Introduction

Tumor necrosis factor α antagonists (TNFAs) are increasingly used to treat connective tissue diseases and inflammatory bowel disease. Tumor necrosis factor α antagonists are associated with a high incidence of active tuberculosis (TB) that can reactivate despite chemoprophylaxis on some reports.[1] The role of tumor necrosis factor α (TNF-α) in the immune response to Mycobacterium tuberculosis (MTB) is important but not entirely clear. In animal models, it appears to play a significant role in disease containment and granuloma formation[2-4]; which may explain the increased risk of patients on TNFA to develop TB, including disseminated disease. Moreover, current diagnostic tests, tuberculin skin testing and interferon gamma release assays, have false-negative results in immunosuppressed patients[5,6] and cannot distinguish between active and latent TB infections.[6] Combinatorial immunoassay profiling using flow cytometric (FC) detection of co-expression of surface markers CD25 (interleukin 2α receptor) and CD134 (a TNF-α receptor superfamily member) can identify antigen-specific effector CD4+ and CD8+ T-cell activation in latent TB infection (LTBI), and early studies suggest that it can distinguish between unexposed subjects, untreated subjects with LTBI, and treated patients with LTBI.[7] This diagnostic strategy has not been used in active TB or in immunosuppressed patients receiving TNFA. We present a case of a patient on infliximab for ulcerative colitis who presented with disseminated TB. As part of a research study, we performed FC immune profiling.

Case Report

A 19-year-old US-born college student with a past medical history significant for ulcerative colitis treated with infliximab for the past 3 years and negative tuberculin skin test at initiation of TNFA was evaluated for a 3-month history of fever, night sweats, weight loss, productive cough, and abdominal pain. Several weeks prior to evaluation, she was treated for community-acquired pneumonia with azithromycin without symptomatic improvement. She was additionally treated with a short course of ciprofloxacin and prednisone for possible ulcerative colitis exacerbation without improvement. She had no known TB exposure including prior travel to endemic TB areas. Physical examination revealed an afebrile woman in mild distress. Vital signs were notable for mild hypoxia (Spo2 = 92% on room air). She had no palpable lymphadenopathy. Bilateral rhonchi were present on pulmonary auscultation. Remainder of physical examination was unremarkable. Laboratory evaluation revealed a normal complete blood count and inflammatory markers. Human immunodeficiency virus (HIV) testing was negative. QuantiFERON-TB Gold in-Tube (QFT) test was positive (2.62 IU/mL). Transbronchial lung biopsy and bronchoalveolar lavage showed acid-fast bacilli, and subsequent cultures grew pan-sensitive MTB. Computed tomography of the chest, abdomen, and pelvis revealed miliary pulmonary pattern, patchy nodular infiltrates, and mediastinal lymphadenopathy with peritoneal and omental involvement (Figure 1). She did well after completion of 6 months of anti-TB therapy.
Figure 1.

Bilateral diffuse miliary nodular infiltrates with mediastinal and bilateral hilar adenopathy.

Bilateral diffuse miliary nodular infiltrates with mediastinal and bilateral hilar adenopathy.

FC Immunoprofiling

In addition to the clinical QFT test, peripheral blood mononuclear cells (PBMCs) were analyzed by FC as part of a research study. This research study was approved by Mayo Clinic Institutional Review Board (Mayo IRB number 09-003253 00). Peripheral blood mononuclear cells were isolated by Ficoll-Paque separation from 40 mL of heparinized blood within 1 hour of collection and cryopreserved in liquid nitrogen until stimulation. Multiparameter antigen stimulation with costimulatory antibodies (MTB-purified protein derivatives (PPD), region of difference 1 (RD1) peptide antigen [ESAT-6/CFP-10 peptide mix or specific MTB antigens], positive and negative controls) was completed. The PBMC sample and antigens were incubated for 48 hours at 37°C and then stained with fluorescent dye–conjugated anti-CD3, anti-CD4, anti-CD8, anti-CD25, and anti-CD134 antibodies and isotype controls. About 2 × 105 cells were analyzed by fluorescence-activated cell sorting (FACS) (BD FACSCanto) and gated using FlowJo software and Kaluza FC software. Detailed methods have been reported previously.[7] CD25+CD134+ co-expression was detected on 0.34% and 0.84% of RD1 peptide and PPD-stimulated CD3+CD4+ T cells, respectively (Figure 2). In addition, upregulation of CD25+CD134+ was present on 0.26% and 0.59% of RD1 peptide and PPD-stimulated CD3+CD8+ T cells, respectively. These results were in the range of untreated LTBI associated with an increased risk of TB reactivation, as previously described,[7] and suggest possible active TB infection in an immunosuppressed and symptomatic patient.
Figure 2.

Flow cytometric gating strategy for detection of percentage of activated T cells (CD3+CD4+ and CD3+CD8+) co-expressing CD25+CD134+ markers. (A) Viable lymphocyte gate using side and forward scatter, (B) gate on CD3+/CD4+, (C) CD3+CD4+/CD25+CD134+ co-expression after 48 hours incubation with an unstimulated sample, PPD, and ESAT-6/CFP-10 peptides mix (RD1 peptide antigen), (D) gate on CD3+/CD8+, (E) CD3+CD8+/CD25+CD134+ co-expression after 48 hours incubation with an unstimulated sample, PPD, and RD1 peptide antigen. Percentages (boxes) indicate the calculated distribution of CD25+CD134+ among CD3+CD4+ and CD3+CD8+ T cells after the subtraction of background (nil). FCS-A indicates forward scatter; PPD, purified protein derivatives; RD1, region of difference 1; SSC-A, side scatter.

Flow cytometric gating strategy for detection of percentage of activated T cells (CD3+CD4+ and CD3+CD8+) co-expressing CD25+CD134+ markers. (A) Viable lymphocyte gate using side and forward scatter, (B) gate on CD3+/CD4+, (C) CD3+CD4+/CD25+CD134+ co-expression after 48 hours incubation with an unstimulated sample, PPD, and ESAT-6/CFP-10 peptides mix (RD1 peptide antigen), (D) gate on CD3+/CD8+, (E) CD3+CD8+/CD25+CD134+ co-expression after 48 hours incubation with an unstimulated sample, PPD, and RD1 peptide antigen. Percentages (boxes) indicate the calculated distribution of CD25+CD134+ among CD3+CD4+ and CD3+CD8+ T cells after the subtraction of background (nil). FCS-A indicates forward scatter; PPD, purified protein derivatives; RD1, region of difference 1; SSC-A, side scatter.

Discussion

Tumor necrosis factor α antagonists are associated with an increased risk of development of active TB. Extrapulmonary TB and disseminated TB represent one-half and one-quarter, respectively, of TB cases in patients receiving TNFA leading to many atypical presentations.[8] Moreover, current diagnostic tools, tuberculin skin tests and interferon gamma release assays, can be false negative in this population and do not distinguish between active and latent infections.[5] The FC-based assays of T-cell markers could potentially provide an additional diagnostic tool to identify patients on TNFA with latent and active TB.[9-11] Combinatorial interferon gamma release assays and FC assays assessing TB antigen–induced T-cell CD25 (interleukin-2 receptor α chain) and CD134 (TNF-α receptor superfamily member) co-expression were recently described as a method to risk stratify patients with LTBI.[7] Furthermore, this strategy has been used to identify patients with LTBI with HIV co-infection.[12] However, FC has not been used to clinically identify active TB, and the effects of TNFA on the FC detection of CD134 have not been described. Our patient was on infliximab for several months prior to presenting with a clear diagnosis of disseminated TB in an immunosuppressed host. Flow cytometric immune profiling was completed as a research tool to determine the feasibility of this strategy in immune compromised patients with active TB on TNFA therapy. The result demonstrated that this FC immune profiling strategy can detect antigen-specific T-cell activation in an immunosuppressed patient with disseminated TB receiving TNFA; however, further validation is warranted.
  12 in total

Review 1.  Immunology of tuberculosis.

Authors:  J L Flynn; J Chan
Journal:  Annu Rev Immunol       Date:  2001       Impact factor: 28.527

2.  Combinatorial Immunoprofiling in Latent Tuberculosis Infection. Toward Better Risk Stratification.

Authors:  Patricio Escalante; Tobias Peikert; Virginia P Van Keulen; Courtney L Erskine; Cathy L Bornhorst; Boleyn R Andrist; Kevin McCoy; Larry R Pease; Roshini S Abraham; Keith L Knutson; Hirohito Kita; Adam G Schrum; Andrew H Limper
Journal:  Am J Respir Crit Care Med       Date:  2015-09-01       Impact factor: 21.405

3.  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

4.  Tuberculosis in patients receiving anti-TNF agents despite chemoprophylaxis.

Authors:  L Sichletidis; L Settas; D Spyratos; D Chloros; D Patakas
Journal:  Int J Tuberc Lung Dis       Date:  2006-10       Impact factor: 2.373

5.  Tuberculosis associated with infliximab, a tumor necrosis factor alpha-neutralizing agent.

Authors:  J Keane; S Gershon; R P Wise; E Mirabile-Levens; J Kasznica; W D Schwieterman; J N Siegel; M M Braun
Journal:  N Engl J Med       Date:  2001-10-11       Impact factor: 91.245

Review 6.  Gamma interferon release assays for detection of Mycobacterium tuberculosis infection.

Authors:  Madhukar Pai; Claudia M Denkinger; Sandra V Kik; Molebogeng X Rangaka; Alice Zwerling; Olivia Oxlade; John Z Metcalfe; Adithya Cattamanchi; David W Dowdy; Keertan Dheda; Niaz Banaei
Journal:  Clin Microbiol Rev       Date:  2014-01       Impact factor: 26.132

7.  A novel assay detecting recall response to Mycobacterium tuberculosis: Comparison with existing assays.

Authors:  Denise C Hsu; John J Zaunders; Marshall Plit; Craig Leeman; Susanna Ip; Thatri Iampornsin; Sarah L Pett; Michelle Bailey; Janaki Amin; Sasiwimol Ubolyam; Anchalee Avihingsanon; Jintanat Ananworanich; Kiat Ruxrungtham; David A Cooper; Anthony D Kelleher
Journal:  Tuberculosis (Edinb)       Date:  2012-04-26       Impact factor: 3.131

8.  Meta-analysis: new tests for the diagnosis of latent tuberculosis infection: areas of uncertainty and recommendations for research.

Authors:  Dick Menzies; Madhukar Pai; George Comstock
Journal:  Ann Intern Med       Date:  2007-03-06       Impact factor: 25.391

9.  TNF regulates chemokine induction essential for cell recruitment, granuloma formation, and clearance of mycobacterial infection.

Authors:  Daniel R Roach; Andrew G D Bean; Caroline Demangel; Malcolm P France; Helen Briscoe; Warwick J Britton
Journal:  J Immunol       Date:  2002-05-01       Impact factor: 5.422

10.  Tumor necrosis factor alpha stimulates killing of Mycobacterium tuberculosis by human neutrophils.

Authors:  Kevin O Kisich; Michael Higgins; Gill Diamond; Leonid Heifets
Journal:  Infect Immun       Date:  2002-08       Impact factor: 3.441

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