Mairead B. Doyle
University College Dublin
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Featured researches published by Mairead B. Doyle.
BMC Genomics | 2007
Kieran G. Meade; Eamonn Gormley; Mairead B. Doyle; Tara Fitzsimons; Cliona O'Farrelly; Eamon Costello; Joseph Keane; Yingdong Zhao; David E. MacHugh
BackgroundBovine tuberculosis is an enduring disease of cattle that has significant repercussions for human health. The advent of high-throughput functional genomics technologies has facilitated large-scale analyses of the immune response to this disease that may ultimately lead to novel diagnostics and therapeutic targets. Analysis of mRNA abundance in peripheral blood mononuclear cells (PBMC) from six Mycobacterium bovis infected cattle and six non-infected controls was performed. A targeted immunospecific bovine cDNA microarray with duplicated spot features representing 1,391 genes was used to test the hypothesis that a distinct gene expression profile may exist in M. bovis infected animals in vivo.ResultsIn total, 378 gene features were differentially expressed at the P ≤ 0.05 level in bovine tuberculosis (BTB)-infected and control animals, of which 244 were expressed at lower levels (65%) in the infected group. Lower relative expression of key innate immune genes, including the Toll-like receptor 2 (TLR2) and TLR4 genes, lack of differential expression of indicator adaptive immune gene transcripts (IFNG, IL2, IL4), and lower BOLA major histocompatibility complex – class I (BOLA) and class II (BOLA-DRA) gene expression was consistent with innate immune gene repression in the BTB-infected animals. Supervised hierarchical cluster analysis and class prediction validation identified a panel of 15 genes predictive of disease status and selected gene transcripts were validated (n = 8 per group) by real time quantitative reverse transcription PCR.ConclusionThese results suggest that large-scale expression profiling can identify gene signatures of disease in peripheral blood that can be used to classify animals on the basis of in vivo infection, in the absence of exogenous antigenic stimulation.
Veterinary Microbiology | 2012
Eduard Shuralev; Padraig Quinn; Mairead B. Doyle; Anthony Duignan; Hang Fai Kwok; Javier Bezos; Shane Olwill; Eamonn Gormley; Alicia Aranaz; Margaret Good; William C. Davis; John Clarke; Clare Whelan
A study was conducted to optimise a multiplex serological immunoassay for use in identification of goats infected with Mycobacterium bovis. To assess assay specificity, 31 goats with a history of being free from M. bovis infection were used. To determine assay sensitivity, 180 Single Intradermal Comparative Tuberculin test (SICTT) positive goats were recruited. Additionally, 286 SICTT negative goats classed as potentially exposed animals present in the same positive herds were also included in the study. The results of the assay demonstrated a specificity of 100%. The multiplex assay detected 57/60 SICTT (95.0%) positive animals in one M. bovis infected herd and 120/120 (100%) in a second herd. In a separate experiment, 28 M. caprae culture confirmed infected goats from Spain were assayed, of which 24 (85.7%) were found positive in the test. The results show that inclusion of an antibody based assay can improve the ability to identify M. bovis and M. caprae infected goats. With further development and validation the multiplex assay may prove to be a useful tool for control of M. bovis and M. caprae infection in goats.
Veterinary Research | 2013
Eamonn Gormley; Mairead B. Doyle; Anthony Duignan; Margaret Good; Simon J. More; Tracy A. Clegg
The gamma-interferon assay (IFNγ) is often used as an ancillary diagnostic test alongside the tuberculin skin test in order to detect Mycobacterium bovis infected cattle. The performance of the IFNγ test has been evaluated in many countries worldwide and wider usage as a disease surveillance tool is constrained due to the relatively low and inconsistent specificity at a herd and area level. This results in disclosure of a higher proportion of false positive reactors when compared with the skin test. In this study, we used cohorts of animals from low prevalence tuberculosis herds (n = 136) to assess a range of risk factors that might influence the specificity of the test. Univariate and multivariate logistic generalised estimating-equation (GEE) models were used to evaluate potential risk factors associated with a false positive IFNγ test result. In these herds, the univariate model revealed that the region of herd origin, the time of year when the testing was carried out, and the age of the animal were all significant risk factors. In the final multivariate models only animal age and region of herd origin were found to be significant risk factors. A high proportion of herds with multiple IFNγ false positive animals were located in one county, with evidence of within-herd clustering, suggesting a localised source of non-specific sensitization. Knowledge of the underlying factors influencing the IFNγ test specificity could be used to optimize the test performance in different disease level scenarios in order to reduce the disclosure rate of false positive reactors.
PLOS ONE | 2016
Sven D. C. Parsons; Kevina McGill; Mairead B. Doyle; Wynand J. Goosen; Paul D. van Helden; Eamonn Gormley
The most widely used ante-mortem diagnostic tests for tuberculosis in cattle are the tuberculin skin test and the interferon-gamma (IFN-γ) release assay, both of which measure cell-mediated immune responses to Mycobacterium bovis infection. However, limitations in the performance of these tests results in a failure to identify all infected animals. In attempting to increase the range of diagnostic tests for tuberculosis, measurement of the cytokine IP-10 in antigen-stimulated blood has previously been shown to improve the detection of M. tuberculosis and M. bovis infection, in humans and African buffaloes (Syncerus caffer), respectively. In the present study, 60 cattle were identified by the single intradermal comparative tuberculin test as tuberculosis reactors (n = 24) or non-reactors (n = 36) and the release of IFN-γ and IP-10 in antigen-stimulated whole blood from these animals was measured using bovine specific ELISAs. There was a strong correlation between IP-10 and IFN-γ production in these samples. Moreover, measurement of the differential release of IP-10 in response to stimulation with M. bovis purified protein derivative (PPD) and M. avium PPD distinguished between reactor and non-reactor cattle with a sensitivity of 100% (95% CI, 86%–100%) and a specificity of 97% (95% CI, 85%–100%). These results suggest that IP-10 might prove valuable as a diagnostic biomarker of M. bovis infection in cattle.
Preventive Veterinary Medicine | 2017
Tracy A. Clegg; Margaret Good; Mairead B. Doyle; Anthony Duignan; Simon J. More; Eamonn Gormley
There are two different contexts in the Irish bTB eradication programme in which the interferon-gamma assay (IFN-γ) is applied. Firstly, the IFN-γ assay is applied routinely to high risk cohorts in herds with four or more reactors to the SICTT. The IFN-γ test is then carried out on blood samples submitted to the laboratory within 8h of collection (diagnostic testing). Secondly, the use of the IFN-γ assay has recently been extended to test SICTT reactors as part of a general quality assurance (QA) scheme to monitor the performance of the SICTT. Blood samples from reactors are tested one day after blood collection (QA testing). In this study, we analysed the relative performance of the SICTT and IFN-γ when used in parallel as an 8h diagnostic test and as a 24h QA test on SICTT reactors. A total of 17,725 IFN-γ tests were included in the analysis (11,658 diagnostic tests and 6067 QA tests). Of the samples submitted for diagnostic testing, the proportion positive to IFN-γ decreased with the severity of interpretation of the SICTT result. Of the standard reactors that were tested with IFN-γ in the QA programme, 92.2% were positive to the IFN-γ test. Among animals that were SICTT -ve/IFN-γ +ve, 18.9% were positive at post-mortem compared to 11.8% of those that were SICTT +ve (standard reactor)/IFN-γ -ve. These results highlight the risk associated with retaining SICTT -ve/IFN-γ +ve animals, and suggest that prompt removal of these animals is necessary to reduce the potential for future transmission.
Veterinary Immunology and Immunopathology | 2017
Michael P. Sheridan; John A. Browne; Mairead B. Doyle; Tara Fitzsimons; Kevina McGill; Eamonn Gormley
The measurement of bovine interferon-gamma (IFN-γ) forms the basis of a diagnostic test for bovine tuberculosis where Mycobacterium bovis sensitised effector T cells produce IFN-γ following in vitro stimulation with tuberculin antigens. In cattle infected with M. bovis it is also known that the anti-inflammatory IL-10 cytokine can inhibit in vitro production of IFN-γ leading to a reduced response in the IFN-γ diagnostic test. In order to investigate this in greater detail, whole blood samples from tuberculin skin test positive and negative cattle were stimulated with bovine and avian tuberculin antigens and in parallel with a neutralising anti-IL-10 monoclonal antibody. The results showed that IFN-γ protein levels increased when IL-10 activity was suppressed by Anti - IL-10. By using a standard diagnostic interpretation, the elevated levels of IFN-γ were shown to change the level of agreement between the performance of the single intradermal comparative tuberculin test (SICTT) and IFN-γ assay, depending on the tuberculin treatment. A transcriptomic analysis using RT-qPCR investigated the influence of IL-10 activity on expression of a suite of cytokine genes (IFNG, IL12B, IL10 and CXCL10) associated with antigen-stimulated production of IFN-γ. The IFNG and IL12B genes both experienced significant increases in expression in the presence of Anti-IL-10, while the expression of IL10 and CXCL10 remained unaffected.
Veterinary Microbiology | 2006
Eamonn Gormley; Mairead B. Doyle; Tara Fitzsimons; Kevina McGill; J. D. Collins
Veterinary Immunology and Immunopathology | 2004
Eamonn Gormley; Mairead B. Doyle; Kevina McGill; Eamon Costello; M. Good; J. D. Collins
Journal of Food Safety | 2004
Donal Minihan; Paul Whyte; M. O'Mahony; Séamus Fanning; Mairead B. Doyle; J. D. Collins
Veterinary Immunology and Immunopathology | 2004
Eamonn Gormley; Mairead B. Doyle; Kevin C. McGill; Eamon Costello; Mark A. Good; J. D. Collins