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Teklu T, Wondale B, Taye B, Hailemariam M, Bekele S, Tamirat M, Zewude A, Mohamed T, Medhin G, Legesse M, Yu Y, Ameni G, Pieper R. Differences in plasma proteomes for active tuberculosis, latent tuberculosis and non-tuberculosis mycobacterial lung disease patients with and without ESAT-6/CFP10 stimulation. Proteome Sci 2020; 18:10. [PMID: 33292280 PMCID: PMC7603755 DOI: 10.1186/s12953-020-00165-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 09/24/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) is one of the world's most problematic infectious diseases. The pathogen Mycobacterium tuberculosis (Mtb) is contained by the immune system in people with latent TB infection (LTBI). No overt disease symptoms occur. The environmental and internal triggers leading to reactivation of TB are not well understood. Non-tuberculosis Mycobacteria (NTM) can also cause TB-like lung disease. Comparative analysis of blood plasma proteomes from subjects afflicted by these pathologies in an endemic setting may yield new differentiating biomarkers and insights into inflammatory and immunological responses to Mtb and NTM. METHODS Blood samples from 40 human subjects in a pastoral region of Ethiopia were treated with the ESAT-6/CFP-10 antigen cocktail to stimulate anti-Mtb and anti-NTM immune responses. In addition to those of active TB, LTBI, and NTM cohorts, samples from matched healthy control (HC) subjects were available. Following the generation of sample pools, proteomes were analyzed via LC-MS/MS. These experiments were also performed without antigen stimulation steps. Statistically significant differences using the Z-score method were determined and interpreted in the context of the proteins' functions and their contributions to biological pathways. RESULTS More than 200 proteins were identified from unstimulated and stimulated plasma samples (UPSs and SPSs, respectively). Thirty-four and 64 proteins were differentially abundant with statistical significance (P < 0.05; Benjamini-Hochberg correction with an FDR < 0.05) comparing UPS and SPS proteomic data of four groups, respectively. Bioinformatics analysis of such proteins via the Gene Ontology Resource was indicative of changes in cellular and metabolic processes, responses to stimuli, and biological regulations. The m7GpppN-mRNA hydrolase was increased in abundance in the LTBI group compared to HC subjects. Charged multivesicular body protein 4a and platelet factor-4 were increased in abundance in NTM as compared to HC and decreased in abundance in NTM as compared to active TB. C-reactive protein, α-1-acid glycoprotein 1, sialic acid-binding Ig-like lectin 16, and vitamin K-dependent protein S were also increased (P < 0.05; fold changes≥2) in SPSs and UPSs comparing active TB with LTBI and NTM cases. These three proteins, connected in a STRING functional network, contribute to the acute phase response and influence blood coagulation. CONCLUSION Plasma proteomes are different comparing LTBI, TB, NTM and HC cohorts. The changes are augmented following prior blood immune cell stimulation with the ESAT-6/CFP-10 antigen cocktail. The results encourage larger-cohort studies to identify specific biomarkers to diagnose NTM infection, LTBI, and to predict the risk of TB reactivation.
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Affiliation(s)
- Takele Teklu
- Department of Immunology and Molecular Biology, University of Gondar, Gondar, Ethiopia.
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
| | - Biniam Wondale
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Biology, Arba Minch University, Arba Minch, Ethiopia
| | - Biruhalem Taye
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
- European Molecular Biology Laboratory, Notkestraβe 85, 22607, Hamburg, Germany
| | | | | | - Mesfin Tamirat
- Laboratory department, Jinka General Hospital, Jinka, Ethiopia
| | - Aboma Zewude
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
- Ethiopian Public health Institute, P.O box 1242, Addis Ababa, Ethiopia
| | - Temesgen Mohamed
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Girmay Medhin
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Mengistu Legesse
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Yanbao Yu
- J. Craig Venter Institute, Rockville, MD, USA
| | - Gobena Ameni
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Veterinary Medicine, College of Food and Agriculture, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates
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O'Halloran C, McCulloch L, Rentoul L, Alexander J, Hope JC, Gunn-Moore DA. Cytokine and Chemokine Concentrations as Biomarkers of Feline Mycobacteriosis. Sci Rep 2018; 8:17314. [PMID: 30470763 PMCID: PMC6251861 DOI: 10.1038/s41598-018-35571-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 11/02/2018] [Indexed: 12/16/2022] Open
Abstract
Mycobacteriosis is an emerging zoonotic disease of domestic cats and timely, accurate diagnosis is currently challenging. To identify differential cytokine/chemokine concentrations in serum/plasma of cats, which could be diagnostic biomarkers of infection we analysed plasma/serum from 116 mycobacteria-infected cats, 16 healthy controls and six cats hospitalised for unrelated reasons was analysed using the Milliplex MAP Feline Cytokine Magnetic Bead multiplex assay. Three cytokines; sFAS, IL-13 and IL-4 were reduced while seven; GM-CSF, IL-2, PDGF-BB, IL-8, KC, RANTES and TNF-α were elevated in mycobacteria-infected cats compared to healthy controls. However, IL-8 and KC concentrations were not significantly different from cats hospitalised for other reasons. Elevations in TNF-α and PDGF-BB may have potential to identify M. bovis and M. microti infected cats specifically while GM-CSF, IL-2 and FLT3L were increased in MTBC infected cats. This study demonstrates potential use of feline tuberculosis as a spontaneously occurring model of this significant human disease. Cytokine profiling has clear diagnostic potential for mycobacteriosis of cats and could be used discriminate tuberculous from non-tuberculous disease to rapidly inform on zoonotic risk. Future work should focus on the in-field utility of these findings to establish diagnostic sensitivity and specificity of these markers.
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Affiliation(s)
- C O'Halloran
- Royal (Dick) School of Veterinary Studies and The Roslin Institute, University of Edinburgh, Easter Bush Campus, Edinburgh, Scotland, EH25 9RG, UK. conor.o'
| | - L McCulloch
- UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, Scotland, EH16 4SB, UK
| | - L Rentoul
- MilliporeSigma (a Division of Merck KGaA, Darmstadt, Germany), 3050, Spruce Street, St. Louis, MO, USA
| | - J Alexander
- Waltham Centre for Pet Nutrition, Leicestershire, UK
| | - J C Hope
- Royal (Dick) School of Veterinary Studies and The Roslin Institute, University of Edinburgh, Easter Bush Campus, Edinburgh, Scotland, EH25 9RG, UK
| | - D A Gunn-Moore
- Royal (Dick) School of Veterinary Studies and The Roslin Institute, University of Edinburgh, Easter Bush Campus, Edinburgh, Scotland, EH25 9RG, UK
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Potential Immunological Biomarkers for Detection of Mycobacterium tuberculosis Infection in a Setting Where M. tuberculosis Is Endemic, Ethiopia. Infect Immun 2018; 86:IAI.00759-17. [PMID: 29311240 DOI: 10.1128/iai.00759-17] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 01/02/2018] [Indexed: 12/12/2022] Open
Abstract
Accurate diagnosis and early treatment of tuberculosis (TB) and latent TB infection (LTBI) are vital to prevent and control TB. The lack of specific biomarkers hinders these efforts. This study's purpose was to screen immunological markers that discriminate Mycobacterium tuberculosis infection outcomes in a setting where it is endemic, Ethiopia. Whole blood from 90 participants was stimulated using the ESAT-6/CFP-10 antigen cocktail. The interferon gamma (IFN-γ)-based QuantiFERON diagnostic test was used to distinguish between LTBI and uninfected control cases. Forty cytokines/chemokines were detected from antigen-stimulated plasma supernatants (SPSs) and unstimulated plasma samples (UPSs) using human cytokine/chemokine antibody microarrays. Statistical tests allowed us to identify potential biomarkers that distinguish the TB, LTBI, and healthy control groups. As expected, the levels of IFN-γ in SPSs returned a high area under the receiver operating characteristic curve (AUC) value comparing healthy controls and LTBI cases (Z = 0.911; P < 0.001). The SPS data also indicated that interleukin 17 (IL-17) abundance discriminates LTBI from healthy controls (Z = 0.763; P = 0.001). RANTES and MIP-1β were significantly elevated in SPSs of TB-infected compared to healthy controls (P < 0.05), while IL-12p40 and soluble tumor necrosis factor receptor II (sTNF-RII) were significantly increased in active TB cases compared to the combined LTBI and control groups (P < 0.05). Interestingly, quantitative changes for RANTES were observed using both SPSs and UPSs, with P values of 0.013 and 0.012, respectively, in active TB versus LTBI cases and 0.001 and 0.002, respectively, in active TB versus healthy controls. These results encourage biomarker verification studies for IL-17 and RANTES. Combinations of these cytokines may complement IFN-γ measurements to diagnose LTBI and distinguish active TB from LTBI cases.
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Profiling the human immune response to Mycobacterium tuberculosis by human cytokine array. Tuberculosis (Edinb) 2016; 97:108-17. [PMID: 26980502 DOI: 10.1016/j.tube.2015.12.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 12/26/2015] [Indexed: 11/23/2022]
Abstract
OBJECT Tuberculosis (TB) continues to be one of the most serious infectious diseases in the world, however, no effective biomarkers can be used for rapid screening of latent tuberculosis infection (LTBI) and active TB. In this study, serum cytokines were screened and tested as potential biomarker for TB diagnosis. METHOD Cytokine array was used to track the cytokine profile and its dynamic change after TB infection. The different expressions of cytokines were confirmed by ELISA assay. ROC curve analyses were used to evaluate the efficacy of a cytokine or cytokine combination for diagnosis. RESULTS Eotaxin-2, ICAM-1, MCSF, IL-12p70, and IL-11 were significantly higher in the LTBI individuals. I-309, MIG, Eotaxin-2, IL-8, ICAM-1, IL-6sR, and Eotaxin were significantly higher in active TB patients. ROC curve analyses gave AUCs of 0.843, 0.898, and 0.888 for I-309, MIG, and IL-8, respectively, and 0.894 for the combination panel in active TB diagnosis. IFN-γ/IL-4 and IL-2/TNF-α ratios exhibit dynamic changes in the healthy control and LTBI to different stages of active TB. CONCLUSIONS Serum cytokines, including I-309 and MIG, IL-8, Extoxin-2, ICAM-1 and combinations of cytokines, including IFN-γ/IL-4 and IL-2/TNF-α, can be used as serum biomarkers for LTBI and active TB screening, thus indicating prospective clinical applications.
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