Intracellular Cytokine Flow Cytometry to Differentiate between Active and Latent Tuberculosis through Assessment of Tuberculosis-specific Cytokines
BACKGROUND: Immune assays, like QuantiFeron-TB Gold (QFT), are available for the diagnosis of latent tuberculosis infection (LTBI). Intracellular cytokine flow cytometry (ICCFC) can be used to assess T-cell immune responses specific to tuberculosis (TB). We studied the role of ICCFC in differentiati...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2024-12-01
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| Series: | Journal of Applied Hematology |
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| Online Access: | https://journals.lww.com/10.4103/joah.joah_82_24 |
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| author | Sindhura Lakshmi Koulmane Laxminarayana Sushma Belurkar Kavitha Saravu Shilna Muttickal Swaminathan |
| author_facet | Sindhura Lakshmi Koulmane Laxminarayana Sushma Belurkar Kavitha Saravu Shilna Muttickal Swaminathan |
| author_sort | Sindhura Lakshmi Koulmane Laxminarayana |
| collection | DOAJ |
| description | BACKGROUND:
Immune assays, like QuantiFeron-TB Gold (QFT), are available for the diagnosis of latent tuberculosis infection (LTBI). Intracellular cytokine flow cytometry (ICCFC) can be used to assess T-cell immune responses specific to tuberculosis (TB). We studied the role of ICCFC in differentiating active pulmonary TB (Mycobacterium tuberculosis [MTB]) from LTBI in comparison with QFT.
METHODS:
A prospective study of adult patients with MTB, LTBI, and healthy controls was performed over 1 year. QFT, ICCFC, and lymphocyte subsets were tested. The diagnostic performance of the ICCFC in detecting LTBI and MTB in comparison with the QFT was analyzed.
RESULTS:
Twenty-six participants were included in the study. The expression of interferon gamma (IFN-γ) and interleukin (IL)-2 by MTB-specific CD4+ T cells, absolute counts, and percentages of CD3+ and CD4+ T-cells was significantly different between the MTB and LTBI groups [P < 0.001]. The frequency of cytokine-expressing CD4+ T-cells correlated well with IFN-γ levels by QFT (IFN-γ, rho 0.736, P < 0.001 and IL-2, rho 0.726, P < 0.001). The frequency of IFN-γ and IL-2 expressing CD4+ T-cells had an area under the curve of 0.946 and 0.943, respectively, compared to QFT in detecting LTBI.
CONCLUSION:
ICCFC is a valuable tool for detecting LTBI in household contacts with MTB. |
| format | Article |
| id | doaj-art-d11e99d31ff44cd69ce8a186bc1ea28b |
| institution | Kabale University |
| issn | 1658-5127 2454-6976 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Applied Hematology |
| spelling | doaj-art-d11e99d31ff44cd69ce8a186bc1ea28b2025-01-10T11:14:03ZengWolters Kluwer Medknow PublicationsJournal of Applied Hematology1658-51272454-69762024-12-0115428028610.4103/joah.joah_82_24Intracellular Cytokine Flow Cytometry to Differentiate between Active and Latent Tuberculosis through Assessment of Tuberculosis-specific CytokinesSindhura Lakshmi Koulmane LaxminarayanaSushma BelurkarKavitha SaravuShilna Muttickal SwaminathanBACKGROUND: Immune assays, like QuantiFeron-TB Gold (QFT), are available for the diagnosis of latent tuberculosis infection (LTBI). Intracellular cytokine flow cytometry (ICCFC) can be used to assess T-cell immune responses specific to tuberculosis (TB). We studied the role of ICCFC in differentiating active pulmonary TB (Mycobacterium tuberculosis [MTB]) from LTBI in comparison with QFT. METHODS: A prospective study of adult patients with MTB, LTBI, and healthy controls was performed over 1 year. QFT, ICCFC, and lymphocyte subsets were tested. The diagnostic performance of the ICCFC in detecting LTBI and MTB in comparison with the QFT was analyzed. RESULTS: Twenty-six participants were included in the study. The expression of interferon gamma (IFN-γ) and interleukin (IL)-2 by MTB-specific CD4+ T cells, absolute counts, and percentages of CD3+ and CD4+ T-cells was significantly different between the MTB and LTBI groups [P < 0.001]. The frequency of cytokine-expressing CD4+ T-cells correlated well with IFN-γ levels by QFT (IFN-γ, rho 0.736, P < 0.001 and IL-2, rho 0.726, P < 0.001). The frequency of IFN-γ and IL-2 expressing CD4+ T-cells had an area under the curve of 0.946 and 0.943, respectively, compared to QFT in detecting LTBI. CONCLUSION: ICCFC is a valuable tool for detecting LTBI in household contacts with MTB.https://journals.lww.com/10.4103/joah.joah_82_24intracellular cytokine flow cytometrylatent tuberculosis infectionmycobacterium-specific immune response |
| spellingShingle | Sindhura Lakshmi Koulmane Laxminarayana Sushma Belurkar Kavitha Saravu Shilna Muttickal Swaminathan Intracellular Cytokine Flow Cytometry to Differentiate between Active and Latent Tuberculosis through Assessment of Tuberculosis-specific Cytokines Journal of Applied Hematology intracellular cytokine flow cytometry latent tuberculosis infection mycobacterium-specific immune response |
| title | Intracellular Cytokine Flow Cytometry to Differentiate between Active and Latent Tuberculosis through Assessment of Tuberculosis-specific Cytokines |
| title_full | Intracellular Cytokine Flow Cytometry to Differentiate between Active and Latent Tuberculosis through Assessment of Tuberculosis-specific Cytokines |
| title_fullStr | Intracellular Cytokine Flow Cytometry to Differentiate between Active and Latent Tuberculosis through Assessment of Tuberculosis-specific Cytokines |
| title_full_unstemmed | Intracellular Cytokine Flow Cytometry to Differentiate between Active and Latent Tuberculosis through Assessment of Tuberculosis-specific Cytokines |
| title_short | Intracellular Cytokine Flow Cytometry to Differentiate between Active and Latent Tuberculosis through Assessment of Tuberculosis-specific Cytokines |
| title_sort | intracellular cytokine flow cytometry to differentiate between active and latent tuberculosis through assessment of tuberculosis specific cytokines |
| topic | intracellular cytokine flow cytometry latent tuberculosis infection mycobacterium-specific immune response |
| url | https://journals.lww.com/10.4103/joah.joah_82_24 |
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