Integrative genomics sheds light on the immunogenetics of tuberculosis in cattle
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ABSTRACT:
ORGANISM(S): Bos taurus
PROVIDER: GSE255724 | GEO | 2024/02/26
REPOSITORIES: GEO
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Project description:Bovine tuberculosis (bTB), primarily caused by Mycobacterium bovis (M. bovis), is a globally zoonotic disease with significant economic impacts. Plasma exosomes have been extensively used for investigating disease processes and exploring biomarkers. While mass spectrometry (MS)-based proteomic analysis of plasma exosomes has been employed for human tuberculosis (TB) studies, it has not yet been applied to bTB. Therefore, a comprehensive proteomic overview of plasma exosomes from M. bovis-infected cows is essential. In this study, we present an extensive proteomic analysis of plasma exosomes from 89 M. bovis-infected cows across three farms, using data-dependent acquisition (DDA) mode. Our analysis encompasses 239,894 spectra, 6,011 peptides and 835 protein groups. The proteomic overview reveals both consistencies and differences among individual cows, supplements 595 proteins to the bovine exosome library, and enriches tuberculosis and related pathways. Additionally, six pathways were validated as immune response pathways, and three proteins (CATHL1, H1-1, and LCN2) were identified as potential indicators of bTB. This study is the first to investigate the exosome proteome of plasma from cows infected with M. bovis, providing a valuable dataset for exploring candidate bTB markers and understanding the mechanisms of host defense against M. bovis.
2024-06-17 | PXD048167 |
Project description:Bovine tuberculosis (bTB), caused by Mycobacterium bovis (Mycobacterium tuberculosis complex), is a zoonotic disease that affects cattle and wildlife worldwide. In some regions of Spain, Iberian red deer (Cervus elaphus hispanicus) can serve as reservoir of infection, thus increasing the risk of human and cattle exposure and infection. Mesenteric lymph nodes are naturally infected with M. bovis in Iberian red deer, in which the digestive route of infection is particularly important in Mediterranean Spain. In this study we characterized the differential expression of inflammatory and immune response genes in mesenteric lymph nodes of Iberian red deer naturally infected with M. bovis using a Ruminant Immuno-inflammatory Gene Universal Array (RIGUA) and real-time RT-PCR. Of the 600 genes that were analyzed in the microarray, 157 showed ? 1.2 fold changes in expression in infected or uninfected deer and 17 genes displayed an expression fold change greater than 1.7 with a P-value ? 0.05 and were selected for further analysis. These genes included tight junction proteins (Z02 and occluding), IL-11R, bactenecin, CD62L, CD74, desmoglein, IgA and IgM that constitute new findings and suggest new mechanisms by which M. bovis may modulate host inflammatory and immune responses. Identification of genes differentially expressed in animals and tissues naturally infected with M. bovis contributes to our basic understanding of the mechanisms of pathogenesis and protective immunity to mycobacterial infections and may have important implications for future functional genomic and vaccine studies to aid in the control of bTB in deer and other wildlife reservoir species. Mesenteric lymph node RNA from four different uninfected Iberian red deer stags and two Iberian red deer stags infected with Mycobacterium bovis. Infected animals were naturally infected with M. bovis. All animals were hunter-harvested and the tissues retrieved 2-6 hrs after animal hunting.
2007-10-17 | E-GEOD-6083 | biostudies-arrayexpress
Project description:Background: Mycobacterium bovis is the causative agent of bovine tuberculosis (BTB), a pathological infection with significant economic impact. Recent studies have highlighted the role of functional genomics to better understand the molecular mechanisms governing the host immune response to M. bovis infection. Furthermore, these studies may enable the identification of novel transcriptional markers of BTB that can augment current diagnostic tests and surveillance programmes. In the present study, we have analysed the transcriptome of peripheral blood leukocytes (PBL) from eight M. bovis-infected and eight control non-infected age-matched and sex-matched Holstein-Friesian cattle using the Affymetrix® GeneChip® Bovine Genome Array with features representing more than 23,000 gene transcripts and over 19,000 gene probe sets. Results: Control and infected animals had similar mean white blood cell counts. However, the mean number of lymphocytes was significantly increased in the infected group relative to the control group (P = 0.001), while the mean number of monocytes was significantly decreased in the BTB group (P = 0.002). Hierarchical clustering analysis using gene expression data from all 5,388 detectable mRNA transcripts unambiguously partitioned the animals according to their disease status. In total, 2,960 gene transcripts were differentially expressed (DE) between the infected and control animal groups (adjusted P-value threshold ≤ 0.05); with the number of genes showing decreased relative expression (1,563) exceeding those displaying increased relative expression (1,397). Systems analysis using the Ingenuity Systems Pathway Analysis (IPA) Knowledge Base revealed an over-representation of DE genes involved in the immune response functional category. More specifically, 64.5% of genes in the affects immune response subcategory displayed decreased relative expression levels in the infected animals compared to the control group. Conclusions: This study demonstrates that genome-wide transcriptional profiling of PBL can distinguish active M. bovis-infected animals from control non-infected animals. Furthermore, the results obtained support previous investigations demonstrating that mycobacterial infection is associated with host transcriptional suppression. These data support the use of transcriptomic technologies to enable the identification of robust, reliable transcriptional markers of active M. bovis infection Affymetrix GeneChip® Bovine Genome Arrays were used to examine gene expression of peripheral blood leukocytes from cattle infected with Mycobacterium bovis
2011-12-01 | E-GEOD-33359 | biostudies-arrayexpress
Project description:Bovine tuberculosis (bTB), caused by Mycobacterium bovis (Mycobacterium tuberculosis complex), is a zoonotic disease that affects cattle and wildlife worldwide. In some regions of Spain, Iberian red deer (Cervus elaphus hispanicus) can serve as reservoir of infection, thus increasing the risk of human and cattle exposure and infection. Mesenteric lymph nodes are naturally infected with M. bovis in Iberian red deer, in which the digestive route of infection is particularly important in Mediterranean Spain. In this study we characterized the differential expression of inflammatory and immune response genes in mesenteric lymph nodes of Iberian red deer naturally infected with M. bovis using a Ruminant Immuno-inflammatory Gene Universal Array (RIGUA) and real-time RT-PCR. Of the 600 genes that were analyzed in the microarray, 157 showed ≥ 1.2 fold changes in expression in infected or uninfected deer and 17 genes displayed an expression fold change greater than 1.7 with a P-value ≤ 0.05 and were selected for further analysis. These genes included tight junction proteins (Z02 and occluding), IL-11R, bactenecin, CD62L, CD74, desmoglein, IgA and IgM that constitute new findings and suggest new mechanisms by which M. bovis may modulate host inflammatory and immune responses. Identification of genes differentially expressed in animals and tissues naturally infected with M. bovis contributes to our basic understanding of the mechanisms of pathogenesis and protective immunity to mycobacterial infections and may have important implications for future functional genomic and vaccine studies to aid in the control of bTB in deer and other wildlife reservoir species. Keywords: disease state analysis
2007-10-17 | GSE6083 | GEO
Project description:Bovine tuberculosis (bTB) is a chronic infectious disease caused by the Mycobacterium bovis (M. bovis). Rapid, cost-effective, and accurate diagnosis of bTB remains a significant clinical challenge globally. The ideal biomarker for diagnosing bTB would be a molecular derived from M. bovis that can not only confirm the presence of the disease but also help determine its clinical stage. Research has indicated that exosomes, which are small vesicles released by cells, can carry components from pathogen following infection with Mycobacterium tuberculosis (Mtb). In this study, a detailed proteomic analysis was conducted to explore the protein expression profiles in the plasma and plasma exosomes of five cows infected with M. bovis. The findings revealed that exosome samples contained a greater number of M. bovis-derived proteins compared to plasma samples. Specifically, six M. bovis-derived proteins, Mb0416, Mb0704, Mb1051, Mb2900, Mb3904, and Mb3905, were identified in plasma exosomes with high quality spectra. Notably, two of these proteins, Mb3904 and Mb3905, correspond to well-known clinical markers for human tuberculosis, Rv3874 and Rv3875, respectively. Furthermore, exosome host proteins were found to be enriched in more immune-related pathways and biological processes, such as antigen processing and presentation, complement and coagulation cascades, innate immune response, and antimicrobial humoral immune response. These proteins demonstrate immunogenic properties and hold potential as biomarkers for bTB diagnosis, providing new insights for the development of vaccines and therapeutic strategies.
2024-11-04 | PXD057505 |
Project description:We investigated peripheral blood mononuclear cell (PBMC) transcriptomes in naturally M. bovis-infected cattle. PBMCs isolated from cattle with different infection statuses (i.e., nested PCR-positive (bTB PCR-P), nested PCR-negative (bTB PCR-N) M. bovis-infected cattle and healthy cattle) were treated with bovine purified protein derivative of bovine tuberculin (PPD-B) or phosphate-buffered saline (PBS) for 6 h. By RNA-Seq, we compared the transcriptomes of PPD-B-stimulated and -unstimulated (PBS-treated) PBMCs between the three groups. Numerous differentially expressed genes were identified following pair-wise comparison of different groups, with or without PPD-B stimulation (adjusted p < 0.05). RNA-seq data was confirmed by validating 14 known genes with qRT–PCR. Finally, data analysis revealed the immune heterogeneity of bTB at different stages which can improve the understanding of the molecular mechanisms in bTB progression.
2020-04-28 | GSE149505 | GEO
Project description:Bovine tuberculosis (bTB), mainly caused by Mycobacterium bovis (M. bovis), is a zoonotic disease that poses a significant threat to both cattle and human health. Currently, the immunological diagnosis using tuberculin tuberculin skin testing (TST) is widely employed for bTB surveillance. There is an urgent need for on-farm inspection indicators or strategies for bTB that utilize easily accessible fluid samples. Previously, we presented a comprehensive proteomic overview of plasma-derived exosomes from M. bovis-infected cows. In this study, we used other two parallel cohorts from two farms to illustrate the expression characteristics of infected cows and explore potential bTB indicators using plasma exosome proteome profiling. Cohort A included 15 negative and 22 positive samples, while cohort B included 28 negative and 40 positive samples. Among the 777 identified proteins, 217 in cohort A and 233 in cohort B showed differential expression between negative and positive samples. Of these, 47 proteins exhibited consistent dysregulation in both cohorts and were significantly enriched in tuberculosis, antigen processing and presentation pathways. Additionally, three proteins, HSPA8, B2M and HRG, were identified and verified as bTB indicators through Lasso regression analysis, western blot and ELISA validation. This study enhances us understanding of the dynamic expression change in plasma exosomes following M. bovis infection and provides technical insights for bTB detection based on clinical fluid samples.
2024-08-28 | PXD055417 |
Project description:Background: Mycobacterium bovis is the causative agent of bovine tuberculosis (BTB), a pathological infection with significant economic impact. Recent studies have highlighted the role of functional genomics to better understand the molecular mechanisms governing the host immune response to M. bovis infection. Furthermore, these studies may enable the identification of novel transcriptional markers of BTB that can augment current diagnostic tests and surveillance programmes. In the present study, we have analysed the transcriptome of peripheral blood leukocytes (PBL) from eight M. bovis-infected and eight control non-infected age-matched and sex-matched Holstein-Friesian cattle using the Affymetrix® GeneChip® Bovine Genome Array with features representing more than 23,000 gene transcripts and over 19,000 gene probe sets. Results: Control and infected animals had similar mean white blood cell counts. However, the mean number of lymphocytes was significantly increased in the infected group relative to the control group (P = 0.001), while the mean number of monocytes was significantly decreased in the BTB group (P = 0.002). Hierarchical clustering analysis using gene expression data from all 5,388 detectable mRNA transcripts unambiguously partitioned the animals according to their disease status. In total, 2,960 gene transcripts were differentially expressed (DE) between the infected and control animal groups (adjusted P-value threshold ≤ 0.05); with the number of genes showing decreased relative expression (1,563) exceeding those displaying increased relative expression (1,397). Systems analysis using the Ingenuity Systems Pathway Analysis (IPA) Knowledge Base revealed an over-representation of DE genes involved in the immune response functional category. More specifically, 64.5% of genes in the affects immune response subcategory displayed decreased relative expression levels in the infected animals compared to the control group. Conclusions: This study demonstrates that genome-wide transcriptional profiling of PBL can distinguish active M. bovis-infected animals from control non-infected animals. Furthermore, the results obtained support previous investigations demonstrating that mycobacterial infection is associated with host transcriptional suppression. These data support the use of transcriptomic technologies to enable the identification of robust, reliable transcriptional markers of active M. bovis infection
2011-12-01 | GSE33359 | GEO
Project description:Abstract: Bovine tuberculosis (bTB), caused by infection with Mycobacterium bovis, continues to cause significant issues for the global agriculture industry as well as for human health. An incomplete understanding of the host immune response contributes to the challenges of control and eradication of this zoonotic disease. In this study, high-throughput bulk RNA sequencing (RNA-seq) was used to characterize differential gene expression in γδ T cells – a subgroup of T cells which bridge innate and adaptive immunity and have specific anti-mycobacterial response mechanisms. γδ T cell subsets are classified on the basis of expression of a pathogen-recognition receptor known as Workshop Cluster 1 (WC1) and we hypothesised that bTB infection may alter the phenotype and function of specific γδ T cell subsets. Peripheral blood was collected from naturally M. bovis-infected (positive for single intradermal comparative tuberculin test (SICTT) and IFN-γ ELISA) and age- and sex-matched, non-infected control Holstein-Friesian cattle. γδ T subsets were isolated using fluorescence activated cell sorting (n = 10-12 per group) and high-quality RNA extracted from each purified lymphocyte subset (WC1.1+, WC1.2+, WC1- and γδ-) was used to generate transcriptomes using bulk RNA-seq (n = 6 per group, representing a total of 48 RNA-seq libraries). Relatively low numbers of differentially expressed genes (DEGs) were observed between most cell subsets; however, 163 genes were significantly differentially expressed in the M. bovis-infected compared to control groups for the WC1.1+ γδ T cell compartment (Log 2 FC ≥ 1.5 and FDR P adj ≤ 0.1). The majority of these DEGs (146) were significantly increased in expression in cells from the bTB+ cattle and included genes encoding transcription factor (TBX21 and EOMES), chemokine receptors (CCR5 and CCR7), granzymes (GZMA, GZMM and GZMH) and multiple killer cell immunoglobulin-like receptors (KIR) indicating cytotoxic functions. Biological pathway overrepresentation analysis revealed enrichment of genes with multiple immune functions including cell activation, proliferation, chemotaxis and cytotoxicity of lymphocytes. In conclusion, WC1.1+ γδ T cells have been proposed as major regulatory cell subset in cattle, and we provide evidence for preferential differential activation of this specific subset in cattle naturally infected with M. bovis. Understanding the role of these critical immune cells during mycobacterial infection contributes to our understanding of host immunity to bTB and identifies multiple novel cytotoxic functions of WC1.1+ γδ T cells.
2023-07-01 | E-MTAB-13111 | biostudies-arrayexpress
Project description:Bovine tuberculosis (BTB) caused by Mycobacterium bovis continues to cause substantial losses to global agriculture and has significant repercussions for human health. The advent of high throughput genomics has facilitated large scale gene expression analyses that present a novel opportunity for revealing the molecular mechanisms underlying chronic mycobacterial infection. Using this approach, we have previously shown that innate immune genes in peripheral blood mononuclear cells (PBMC) from BTB-infected animals are repressed in vivo in the absence of exogenous stimulation. In the present study, functional genomics methods were used to examine the immune response of PBMC from BTB-infected (n = 6) and healthy control (n = 6) cattle to stimulation with bovine purified protein derivative (PPDb) in vitro. PBMC were harvested before, and at 3h and 12h post in vitro stimulation with PPDb. Gene expression changes were catalogued within each group using a reference hybridization design and a targeted immunospecific cDNA microarray platform (BOTL-5) with 4,800 spot features representing 1,391 genes
2008-09-20 | GSE12835 | GEO