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“Tuberculosis in advanced HIV infection is associated with increased expression of IFNγ and its downstream targets”

BACKGROUND: Tuberculosis (TB) is the major cause of death in Human Immunodeficiency Virus (HIV)-infected individuals. However, diagnosis of TB in HIV remains challenging particularly when HIV infection is advanced. Several gene signatures and serum protein biomarkers have been identified that distin...

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Autores principales: Verma, Sheetal, Du, Peicheng, Nakanjako, Damalie, Hermans, Sabine, Briggs, Jessica, Nakiyingi, Lydia, Ellner, Jerrold J., Manabe, Yukari C., Salgame, Padmini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5952419/
https://www.ncbi.nlm.nih.gov/pubmed/29764370
http://dx.doi.org/10.1186/s12879-018-3127-4
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author Verma, Sheetal
Du, Peicheng
Nakanjako, Damalie
Hermans, Sabine
Briggs, Jessica
Nakiyingi, Lydia
Ellner, Jerrold J.
Manabe, Yukari C.
Salgame, Padmini
author_facet Verma, Sheetal
Du, Peicheng
Nakanjako, Damalie
Hermans, Sabine
Briggs, Jessica
Nakiyingi, Lydia
Ellner, Jerrold J.
Manabe, Yukari C.
Salgame, Padmini
author_sort Verma, Sheetal
collection PubMed
description BACKGROUND: Tuberculosis (TB) is the major cause of death in Human Immunodeficiency Virus (HIV)-infected individuals. However, diagnosis of TB in HIV remains challenging particularly when HIV infection is advanced. Several gene signatures and serum protein biomarkers have been identified that distinguish active TB from latent infection. Our study was designed to assess if gene expression signatures and cytokine levels would distinguish active TB in advanced HIV. METHODS: We conducted a case-control study of whole blood RNA-Seq and plasma cytokine/chemokine analysis in HIV-infected with CD4(+) T cell count of ≤ 100 cells/μl, with and without active TB. Next, the overlap of the differentially expressed genes (DEG) with the published signatures was performed and then receiver operator characteristic (ROC) analysis was done on small gene discriminators to determine their performance in distinguishing TB in advanced HIV. ELISA was performed on plasma to evaluate cytokine and chemokine levels. RESULTS: Hierarchical clustering of the transcriptional profiles showed that, in general, HIV-infected individuals with TB (TB-HIV) clustered separately from those without TB. IPA indicated that the TB-HIV signature was characterized by an increase in inflammatory signaling pathways. Analysis of overlaps between DEG in our data set with published TB signatures revealed that significant overlap was seen with one TB signature and one TB-IRIS signature. ROC analysis revealed that transcript levels of FcGR1A (AUC = 0.85) and BATF2 (AUC = 0.82), previously reported as consistent single gene classifiers of active TB irrespective of HIV status, performed successfully even in advanced HIV. Plasma protein levels of IFNγ, a stimulator of FcGR1A and BATF2, and CXCL10, also up-regulated by IFNγ, accurately classified active TB (AUC = 0.98 and 0.91, respectively) in advanced HIV. Neither of these genes nor proteins distinguished between TB and TB-IRIS. CONCLUSIONS: Gene expression of FcGR1A and BATF2, and plasma protein levels of IFNγ and CXCL10 have the potential to independently detect TB in advanced HIV. However, since other lung diseases were not included in this study, these final candidates need to be validated as specific to TB in the advanced HIV population with TB. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3127-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-59524192018-05-21 “Tuberculosis in advanced HIV infection is associated with increased expression of IFNγ and its downstream targets” Verma, Sheetal Du, Peicheng Nakanjako, Damalie Hermans, Sabine Briggs, Jessica Nakiyingi, Lydia Ellner, Jerrold J. Manabe, Yukari C. Salgame, Padmini BMC Infect Dis Research Article BACKGROUND: Tuberculosis (TB) is the major cause of death in Human Immunodeficiency Virus (HIV)-infected individuals. However, diagnosis of TB in HIV remains challenging particularly when HIV infection is advanced. Several gene signatures and serum protein biomarkers have been identified that distinguish active TB from latent infection. Our study was designed to assess if gene expression signatures and cytokine levels would distinguish active TB in advanced HIV. METHODS: We conducted a case-control study of whole blood RNA-Seq and plasma cytokine/chemokine analysis in HIV-infected with CD4(+) T cell count of ≤ 100 cells/μl, with and without active TB. Next, the overlap of the differentially expressed genes (DEG) with the published signatures was performed and then receiver operator characteristic (ROC) analysis was done on small gene discriminators to determine their performance in distinguishing TB in advanced HIV. ELISA was performed on plasma to evaluate cytokine and chemokine levels. RESULTS: Hierarchical clustering of the transcriptional profiles showed that, in general, HIV-infected individuals with TB (TB-HIV) clustered separately from those without TB. IPA indicated that the TB-HIV signature was characterized by an increase in inflammatory signaling pathways. Analysis of overlaps between DEG in our data set with published TB signatures revealed that significant overlap was seen with one TB signature and one TB-IRIS signature. ROC analysis revealed that transcript levels of FcGR1A (AUC = 0.85) and BATF2 (AUC = 0.82), previously reported as consistent single gene classifiers of active TB irrespective of HIV status, performed successfully even in advanced HIV. Plasma protein levels of IFNγ, a stimulator of FcGR1A and BATF2, and CXCL10, also up-regulated by IFNγ, accurately classified active TB (AUC = 0.98 and 0.91, respectively) in advanced HIV. Neither of these genes nor proteins distinguished between TB and TB-IRIS. CONCLUSIONS: Gene expression of FcGR1A and BATF2, and plasma protein levels of IFNγ and CXCL10 have the potential to independently detect TB in advanced HIV. However, since other lung diseases were not included in this study, these final candidates need to be validated as specific to TB in the advanced HIV population with TB. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3127-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-15 /pmc/articles/PMC5952419/ /pubmed/29764370 http://dx.doi.org/10.1186/s12879-018-3127-4 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Verma, Sheetal
Du, Peicheng
Nakanjako, Damalie
Hermans, Sabine
Briggs, Jessica
Nakiyingi, Lydia
Ellner, Jerrold J.
Manabe, Yukari C.
Salgame, Padmini
“Tuberculosis in advanced HIV infection is associated with increased expression of IFNγ and its downstream targets”
title “Tuberculosis in advanced HIV infection is associated with increased expression of IFNγ and its downstream targets”
title_full “Tuberculosis in advanced HIV infection is associated with increased expression of IFNγ and its downstream targets”
title_fullStr “Tuberculosis in advanced HIV infection is associated with increased expression of IFNγ and its downstream targets”
title_full_unstemmed “Tuberculosis in advanced HIV infection is associated with increased expression of IFNγ and its downstream targets”
title_short “Tuberculosis in advanced HIV infection is associated with increased expression of IFNγ and its downstream targets”
title_sort “tuberculosis in advanced hiv infection is associated with increased expression of ifnγ and its downstream targets”
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5952419/
https://www.ncbi.nlm.nih.gov/pubmed/29764370
http://dx.doi.org/10.1186/s12879-018-3127-4
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