Low circulatory Fe and Se levels with a higher IL-6/IL-10 ratio provide nutritional immunity in tuberculosis
Tuberculosis (TB) patients show dysregulated immunity, iron metabolism, and anemia. In this study, circulatory cytokines, trace metals, and iron-related proteins (hepcidin, ferroportin, transferrin, Dmt1, Nramp1, ferritin, ceruloplasmin, hemojuvelin, aconitase, and transferrin receptor) were monitor...
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| Published in | Frontiers in immunology Vol. 13; p. 985538 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media S.A
12.01.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1664-3224 1664-3224 |
| DOI | 10.3389/fimmu.2022.985538 |
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| Abstract | Tuberculosis (TB) patients show dysregulated immunity, iron metabolism, and anemia. In this study, circulatory cytokines, trace metals, and iron-related proteins (hepcidin, ferroportin, transferrin, Dmt1, Nramp1, ferritin, ceruloplasmin, hemojuvelin, aconitase, and transferrin receptor) were monitored in case (active tuberculosis patients: ATB) and control (non-tuberculosis: NTB and healthy) study populations (
n
= 72, male: 100%, mean age, 42.94 years; range, 17–83 years). Using serum elemental and cytokine levels, a partial least square discriminate analysis model (PLS-DA) was built, which clustered ATB patients away from NTB and healthy controls. Based on the PLS-DA variable importance in projection (VIP) score and analysis of variance (ANOVA), 13 variables were selected as important biosignatures [IL-18, IL-10, IL-13, IFN-γ, TNF-α, IL-5, IL-12 (p70), IL-1β, copper, zinc, selenium, iron, and aluminum]. Interestingly, low iron and selenium levels and high copper and aluminum levels were observed in ATB subjects. Low circulatory levels of transferrin, ferroportin, and hemojuvelin with higher ferritin and ceruloplasmin levels observed in ATB subjects demonstrate an altered iron metabolism, which partially resolved upon 6 months of anti-TB therapy. The identified biosignature in TB patients demonstrated perturbed iron homeostasis with anemia of inflammation, which could be useful targets for the development of host-directed adjunct therapeutics. |
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| AbstractList | Tuberculosis (TB) patients show dysregulated immunity, iron metabolism, and anemia. In this study, circulatory cytokines, trace metals, and iron-related proteins (hepcidin, ferroportin, transferrin, Dmt1, Nramp1, ferritin, ceruloplasmin, hemojuvelin, aconitase, and transferrin receptor) were monitored in case (active tuberculosis patients: ATB) and control (non-tuberculosis: NTB and healthy) study populations (n = 72, male: 100%, mean age, 42.94 years; range, 17-83 years). Using serum elemental and cytokine levels, a partial least square discriminate analysis model (PLS-DA) was built, which clustered ATB patients away from NTB and healthy controls. Based on the PLS-DA variable importance in projection (VIP) score and analysis of variance (ANOVA), 13 variables were selected as important biosignatures [IL-18, IL-10, IL-13, IFN-γ, TNF-α, IL-5, IL-12 (p70), IL-1β, copper, zinc, selenium, iron, and aluminum]. Interestingly, low iron and selenium levels and high copper and aluminum levels were observed in ATB subjects. Low circulatory levels of transferrin, ferroportin, and hemojuvelin with higher ferritin and ceruloplasmin levels observed in ATB subjects demonstrate an altered iron metabolism, which partially resolved upon 6 months of anti-TB therapy. The identified biosignature in TB patients demonstrated perturbed iron homeostasis with anemia of inflammation, which could be useful targets for the development of host-directed adjunct therapeutics.Tuberculosis (TB) patients show dysregulated immunity, iron metabolism, and anemia. In this study, circulatory cytokines, trace metals, and iron-related proteins (hepcidin, ferroportin, transferrin, Dmt1, Nramp1, ferritin, ceruloplasmin, hemojuvelin, aconitase, and transferrin receptor) were monitored in case (active tuberculosis patients: ATB) and control (non-tuberculosis: NTB and healthy) study populations (n = 72, male: 100%, mean age, 42.94 years; range, 17-83 years). Using serum elemental and cytokine levels, a partial least square discriminate analysis model (PLS-DA) was built, which clustered ATB patients away from NTB and healthy controls. Based on the PLS-DA variable importance in projection (VIP) score and analysis of variance (ANOVA), 13 variables were selected as important biosignatures [IL-18, IL-10, IL-13, IFN-γ, TNF-α, IL-5, IL-12 (p70), IL-1β, copper, zinc, selenium, iron, and aluminum]. Interestingly, low iron and selenium levels and high copper and aluminum levels were observed in ATB subjects. Low circulatory levels of transferrin, ferroportin, and hemojuvelin with higher ferritin and ceruloplasmin levels observed in ATB subjects demonstrate an altered iron metabolism, which partially resolved upon 6 months of anti-TB therapy. The identified biosignature in TB patients demonstrated perturbed iron homeostasis with anemia of inflammation, which could be useful targets for the development of host-directed adjunct therapeutics. Tuberculosis (TB) patients show dysregulated immunity, iron metabolism, and anemia. In this study, circulatory cytokines, trace metals, and iron-related proteins (hepcidin, ferroportin, transferrin, Dmt1, Nramp1, ferritin, ceruloplasmin, hemojuvelin, aconitase, and transferrin receptor) were monitored in case (active tuberculosis patients: ATB) and control (non-tuberculosis: NTB and healthy) study populations (n = 72, male: 100%, mean age, 42.94 years; range, 17–83 years). Using serum elemental and cytokine levels, a partial least square discriminate analysis model (PLS-DA) was built, which clustered ATB patients away from NTB and healthy controls. Based on the PLS-DA variable importance in projection (VIP) score and analysis of variance (ANOVA), 13 variables were selected as important biosignatures [IL-18, IL-10, IL-13, IFN-γ, TNF-α, IL-5, IL-12 (p70), IL-1β, copper, zinc, selenium, iron, and aluminum]. Interestingly, low iron and selenium levels and high copper and aluminum levels were observed in ATB subjects. Low circulatory levels of transferrin, ferroportin, and hemojuvelin with higher ferritin and ceruloplasmin levels observed in ATB subjects demonstrate an altered iron metabolism, which partially resolved upon 6 months of anti-TB therapy. The identified biosignature in TB patients demonstrated perturbed iron homeostasis with anemia of inflammation, which could be useful targets for the development of host-directed adjunct therapeutics. Tuberculosis (TB) patients show dysregulated immunity, iron metabolism, and anemia. In this study, circulatory cytokines, trace metals, and iron-related proteins (hepcidin, ferroportin, transferrin, Dmt1, Nramp1, ferritin, ceruloplasmin, hemojuvelin, aconitase, and transferrin receptor) were monitored in case (active tuberculosis patients: ATB) and control (non-tuberculosis: NTB and healthy) study populations ( n = 72, male: 100%, mean age, 42.94 years; range, 17–83 years). Using serum elemental and cytokine levels, a partial least square discriminate analysis model (PLS-DA) was built, which clustered ATB patients away from NTB and healthy controls. Based on the PLS-DA variable importance in projection (VIP) score and analysis of variance (ANOVA), 13 variables were selected as important biosignatures [IL-18, IL-10, IL-13, IFN-γ, TNF-α, IL-5, IL-12 (p70), IL-1β, copper, zinc, selenium, iron, and aluminum]. Interestingly, low iron and selenium levels and high copper and aluminum levels were observed in ATB subjects. Low circulatory levels of transferrin, ferroportin, and hemojuvelin with higher ferritin and ceruloplasmin levels observed in ATB subjects demonstrate an altered iron metabolism, which partially resolved upon 6 months of anti-TB therapy. The identified biosignature in TB patients demonstrated perturbed iron homeostasis with anemia of inflammation, which could be useful targets for the development of host-directed adjunct therapeutics. Tuberculosis (TB) patients show dysregulated immunity, iron metabolism, and anemia. In this study, circulatory cytokines, trace metals, and iron-related proteins (hepcidin, ferroportin, transferrin, Dmt1, Nramp1, ferritin, ceruloplasmin, hemojuvelin, aconitase, and transferrin receptor) were monitored in case (active tuberculosis patients: ATB) and control (non-tuberculosis: NTB and healthy) study populations ( = 72, male: 100%, mean age, 42.94 years; range, 17-83 years). Using serum elemental and cytokine levels, a partial least square discriminate analysis model (PLS-DA) was built, which clustered ATB patients away from NTB and healthy controls. Based on the PLS-DA variable importance in projection (VIP) score and analysis of variance (ANOVA), 13 variables were selected as important biosignatures [IL-18, IL-10, IL-13, IFN-γ, TNF-α, IL-5, IL-12 (p70), IL-1β, copper, zinc, selenium, iron, and aluminum]. Interestingly, low iron and selenium levels and high copper and aluminum levels were observed in ATB subjects. Low circulatory levels of transferrin, ferroportin, and hemojuvelin with higher ferritin and ceruloplasmin levels observed in ATB subjects demonstrate an altered iron metabolism, which partially resolved upon 6 months of anti-TB therapy. The identified biosignature in TB patients demonstrated perturbed iron homeostasis with anemia of inflammation, which could be useful targets for the development of host-directed adjunct therapeutics. |
| Author | Thong, Asunu Saikia, Lahari Das, Ranjit Sahu, Sukanya Basumatary, Rumi Khamo, Vinotsole Nanda, Ranjan Kumar Kapfo, Wetetsho Das, Anjan Guha, Hritusree Deka, Trinayan Kupa, Rukuwe-u Dasgupta, Arunabha Pandey, Amit Kumar Kaushik, Sandeep R. Goswami, Bidhan Saha, Sourav |
| AuthorAffiliation | 4 Department of Microbiology, Assam Medical College , Dibrugarh, Assam , India 3 Healthcare Laboratory and Research Centre, Naga Hospital Authority , Kohima, Nagaland , India 5 District Tuberculosis Centre , Kohima, Nagaland , India 1 Translational Health Group, International Centre for Genetic Engineering and Biotechnology , New Delhi , India 2 Department of Respiratory Medicine, Agartala Government Medical College , Agartala, Tripura , India 7 Department of Microbiology, Agartala Government Medical College , Agartala, Tripura , India 6 Department of Medicine, Agartala Government Medical College , Agartala, Tripura , India 8 Mycobacterial Pathogenesis Laboratory, Translational Health Science and Technology Institute (THSTI) , Faridabad, Haryana , India 9 Department of Microbiology, Gauhati Medical College , Guwahati, Assam , India |
| AuthorAffiliation_xml | – name: 5 District Tuberculosis Centre , Kohima, Nagaland , India – name: 8 Mycobacterial Pathogenesis Laboratory, Translational Health Science and Technology Institute (THSTI) , Faridabad, Haryana , India – name: 1 Translational Health Group, International Centre for Genetic Engineering and Biotechnology , New Delhi , India – name: 9 Department of Microbiology, Gauhati Medical College , Guwahati, Assam , India – name: 7 Department of Microbiology, Agartala Government Medical College , Agartala, Tripura , India – name: 6 Department of Medicine, Agartala Government Medical College , Agartala, Tripura , India – name: 2 Department of Respiratory Medicine, Agartala Government Medical College , Agartala, Tripura , India – name: 3 Healthcare Laboratory and Research Centre, Naga Hospital Authority , Kohima, Nagaland , India – name: 4 Department of Microbiology, Assam Medical College , Dibrugarh, Assam , India |
| Author_xml | – sequence: 1 givenname: Sandeep R. surname: Kaushik fullname: Kaushik, Sandeep R. – sequence: 2 givenname: Sukanya surname: Sahu fullname: Sahu, Sukanya – sequence: 3 givenname: Hritusree surname: Guha fullname: Guha, Hritusree – sequence: 4 givenname: Sourav surname: Saha fullname: Saha, Sourav – sequence: 5 givenname: Ranjit surname: Das fullname: Das, Ranjit – sequence: 6 givenname: Rukuwe-u surname: Kupa fullname: Kupa, Rukuwe-u – sequence: 7 givenname: Wetetsho surname: Kapfo fullname: Kapfo, Wetetsho – sequence: 8 givenname: Trinayan surname: Deka fullname: Deka, Trinayan – sequence: 9 givenname: Rumi surname: Basumatary fullname: Basumatary, Rumi – sequence: 10 givenname: Asunu surname: Thong fullname: Thong, Asunu – sequence: 11 givenname: Arunabha surname: Dasgupta fullname: Dasgupta, Arunabha – sequence: 12 givenname: Bidhan surname: Goswami fullname: Goswami, Bidhan – sequence: 13 givenname: Amit Kumar surname: Pandey fullname: Pandey, Amit Kumar – sequence: 14 givenname: Lahari surname: Saikia fullname: Saikia, Lahari – sequence: 15 givenname: Vinotsole surname: Khamo fullname: Khamo, Vinotsole – sequence: 16 givenname: Anjan surname: Das fullname: Das, Anjan – sequence: 17 givenname: Ranjan Kumar surname: Nanda fullname: Nanda, Ranjan Kumar |
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| CitedBy_id | crossref_primary_10_1002_eji_202350485 crossref_primary_10_7759_cureus_62275 crossref_primary_10_22207_JPAM_19_1_52 crossref_primary_10_1016_j_tube_2024_102477 |
| Cites_doi | 10.1006/eesa.1996.0026 10.1093/ajcn/58.5.705 10.1172/JCI25683 10.1073/pnas.0409808102 10.1073/pnas.0900453106 10.1164/ajrccm.161.6.9911054 10.1038/nrmicro2836 10.1038/ng1777 10.1038/s41598-018-37662-9 10.1007/s12011-020-02254-0 10.1182/blood.V93.12.4406 10.1038/s41598-018-37860-5 10.1038/mi.2011.7 10.1086/344903 10.1016/j.chom.2015.06.017 10.5588/ijtld.10.0445 10.1111/j.1365-2249.2009.03875.x 10.1182/blood.2020010562 10.3177/jnsv.54.454 10.1007/BF02913325 10.3346/jkms.2006.21.6.1028 10.1016/j.cmet.2015.09.006 10.1016/j.plabm.2019.e00142 10.1136/thoraxjnl-2018-212557 10.1093/nar/gkab382 10.1073/pnas.1914830117 10.1182/blood-2007-12-126854 10.1111/imr.12616 10.1007/s00109-001-0307-1 10.1182/blood-2003-03-0672 10.1172/JCI200420945 |
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| Copyright | Copyright © 2023 Kaushik, Sahu, Guha, Saha, Das, Kupa, Kapfo, Deka, Basumatary, Thong, Dasgupta, Goswami, Pandey, Saikia, Khamo, Das and Nanda. Copyright © 2023 Kaushik, Sahu, Guha, Saha, Das, Kupa, Kapfo, Deka, Basumatary, Thong, Dasgupta, Goswami, Pandey, Saikia, Khamo, Das and Nanda 2023 Kaushik, Sahu, Guha, Saha, Das, Kupa, Kapfo, Deka, Basumatary, Thong, Dasgupta, Goswami, Pandey, Saikia, Khamo, Das and Nanda |
| Copyright_xml | – notice: Copyright © 2023 Kaushik, Sahu, Guha, Saha, Das, Kupa, Kapfo, Deka, Basumatary, Thong, Dasgupta, Goswami, Pandey, Saikia, Khamo, Das and Nanda. – notice: Copyright © 2023 Kaushik, Sahu, Guha, Saha, Das, Kupa, Kapfo, Deka, Basumatary, Thong, Dasgupta, Goswami, Pandey, Saikia, Khamo, Das and Nanda 2023 Kaushik, Sahu, Guha, Saha, Das, Kupa, Kapfo, Deka, Basumatary, Thong, Dasgupta, Goswami, Pandey, Saikia, Khamo, Das and Nanda |
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| Keywords | iron metabolism anemia of inflammatiom cytokines selenium tuberculosis |
| Language | English |
| License | Copyright © 2023 Kaushik, Sahu, Guha, Saha, Das, Kupa, Kapfo, Deka, Basumatary, Thong, Dasgupta, Goswami, Pandey, Saikia, Khamo, Das and Nanda. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. cc-by |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Mengyao Guo, Northeast Agricultural University, China Reviewed by: Shiwen Xu, Northeast Agricultural University, China; Eileen Fung, InnoSense, United States This article was submitted to Nutritional Immunology, a section of the journal Frontiers in Immunology |
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| SubjectTerms | Adolescent Adult Aged Aged, 80 and over Aluminum Anemia anemia of inflammatiom Ceruloplasmin Copper Cytokines Ferritins Humans Immunology Interleukin-10 Interleukin-6 Iron iron metabolism Male Middle Aged Selenium Transferrin Tuberculosis Young Adult |
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| Title | Low circulatory Fe and Se levels with a higher IL-6/IL-10 ratio provide nutritional immunity in tuberculosis |
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