Biomarkers for Early Stages of Johne’s Disease Infection and Immunization in Goats
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ABSTRACT:
PROVIDER: PRJNA483205 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7612060_1.fastq.gz | Fastqsanger.gz | |||
| SRR7612060_2.fastq.gz | Fastqsanger.gz | |||
| SRR7612061_1.fastq.gz | Fastqsanger.gz | |||
| SRR7612061_2.fastq.gz | Fastqsanger.gz | |||
| SRR7612062_1.fastq.gz | Fastqsanger.gz |
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Project description:Background: Mycobacterium avium subsp. paratuberculosis (M. paratuberculosis) is the causative agent of Johne’s disease, a chronic enteric infection of ruminants. Infection occurs within the first few months of life but remains subclinical for an average of 2-5 years. Current diagnostics to detect early subclinical infections lack diagnostic sensitivity, which hinders disease control resulting in significant economic losses to the dairy industry worldwide. The pathophysiology of early infection with M. paratuberculosis is still not well understood and represents a key hurdle towards the development of better diagnostics. Methods: The present study employed a large-scale RNA-Sequencing technology to better understand early stages of M. paratuberculosis infection and immunization. Specifically, gene expression profiles of peripheral blood mononuclear cells (PBMCs) from infected and vaccinated goats were compared to controls. Results: The transcriptome of the control goats revealed a large number of genes (N = 226, 1018, 1714, 1133) that were differentially expressed compared to the M. paratuberculosis-infected goats, goats vaccinated with live attenuated or inactivated vaccines, and goats both vaccinated and infected. Bioinformatics evaluation of the differentially expressed genes indicated the regulation of a large number of genes with immunity and inflammatory functions including IL-18BP, IFN-γ, IL-17A, NOS2, LIPG and IL-22. Interestingly, a large number of goat genes (N=667) were regulated whether live or inactivated vaccine were used. Some of the regulated genes (e.g. IL-17A, IFN-g) continued its unique transcriptional profile up to 12 months post-challenge. Conclusions: Overall, transcriptome analysis of infected and/or immunized goats identified potential targets for developing early diagnostics for Johne’s disease and a potential approach to differentiate infected from vaccinated animals. A similar approach could be used to analyze later stages of Johne’s disease or other chronic infections.
2018-07-28 | GSE117799 | GEO
Project description:Background: Mycobacterium avium subsp. paratuberculosis (M. paratuberculosis) is the causative agent of Johne's disease, a chronic enteric infection of ruminants. Infection occurs within the first few months of life but remains subclinical for an average of 2-5 years. Current diagnostics to detect early subclinical infections lack diagnostic sensitivity, which hinders disease control resulting in significant economic losses to the dairy industry worldwide. The pathophysiology of early infection with M. paratuberculosis is still not well understood and represents a key hurdle toward the development of better diagnostics. Methods: The present study employed a large-scale RNA-Sequencing technology to better understand early stages of M. paratuberculosis infection and immunization. Specifically, gene expression profiles of peripheral blood mononuclear cells (PBMCs) from infected or vaccinated goats were compared to controls. Results: When compared to the naïve control goats, we identified a large number of transcripts (N = 226, 1018, 1714) that were differentially expressed in the M. paratuberculosis-infected goats, goats vaccinated with live attenuated or inactivated vaccines. There were also 1133 differentially expressed (DE) transcripts between vaccinated goats and infected ones. Bioinformatics evaluation of the DE genes indicated the regulation of a large number of genes with immunity and inflammatory functions including IL-18BP, IFN-?, IL-17A, NOS2, LIPG, and IL-22. Interestingly, a large number of goat genes (N = 667) were regulated whether live or inactivated vaccine were used. Some of the regulated genes (e.g., IL-17A, IFN-?) continued its unique transcriptional profile up to 12 months post-challenge. Conclusion: Overall, transcriptome analysis of infected and/or immunized goats identified potential targets for developing early diagnostics for Johne's disease and a potential approach to differentiate infected from vaccinated animals. A similar approach could be used to analyze later stages of Johne's disease or other chronic infections.
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Project description:<p>Goats can provide meat, milk and skins for humans and are livestock with high economic benefits. However, despite their economic significance, the comprehensive analysis of goats' serum metabolic profile and its intricate alterations throughout their developmental journey remains conspicuously absent. To investigate the stage-specificity and dynamic change characteristics of metabolites during the growth and development of goats, this study compared the alterations in serum hormone levels and serum biochemical markers across different developmental stages of female goats (1, 60, 120, 180 days old; n=5). Additionally, a serum untargeted LC-MS metabolomics analysis was conducted. A total of 504 DAMs were identified with age. The results indicated that PE, PC, Lyso-PE, Lyso-PC and FAFHA may play important roles in lipid metabolism in goats after birth. Weighted gene co-expression network analysis (WGCNA) identified two metabolite modules (Turquoise and Yellow) and key metabolites within these modules that were significantly associated with phenotypic features. L-carnitine may be a metabolite related to muscle development in goats. The findings of this study demonstrate notable variations in serum metabolites across distinct developmental phases in goats. Lipids and organic acids play important roles in different developmental stages of goats.</p>
2024-06-04 | MTBLS8944 | MetaboLights
Project description:Mastitis is an inflammation of the mammary gland (MG), usually due to bacterial infection. Although considerable attention has been paid to this economically important disease, the early stages of the host response remain poorly defined. In particular, it is unclear how mammary epithelial cells (MEC), a first barrier against pathogens, respond to infection. Indeed, it is difficult to differentiate between the contributions of MEC and infiltrating immune cells to gene expression profiles of mammary tissue during mastitis. The current investigation examines the response of MEC at the early stage of infection using a non invasive RNA sampling method taking advantage of the presence of cytoplasmic crescents contained in milk fat globules. We have recently shown that, in goats, Milk Fat Globules (MFG) provide a unique source of RNA to study the in vivo regulation of gene expression in MEC. This non invasive RNA sampling method was used during the time course of an experimental intra mammary infection (IMI) with S. aureus. Experiments were performed using ovine microarrays (Agilent) to compare gene expression patterns before infection, at 12h, 18h and 24h post-infection (PI). Furthermore, we combined this approach with laser capture microdissection of MEC isolated from frozen slides of mammary tissue to study some specific genes at the late stage of infection (30h PI). We show that at 18h PI, before the burst of somatic cells in milk, MEC play an important role in the recruitment and activation of inflammatory cells through the IL-8 signaling pathways. Then, at the late stage of infection (30h PI), the contribution of MEC in immune response changes to produce different acute phase proteins, including SAA3, serpin A1 and PTX3. These cells also express factors that contribute directly to fighting infection, such as S100A12. In summary, we demonstrate for the first time in vivo how MEC orchestrate innate immune response during an IMI with S. aureus in the goat species. We report here new opportunities to assess the dynamics of gene expression in the mammary gland, thus providing significant advances in the understanding of MEC immune capacity.M-bM-^@M-^BFurthermore, the production of some molecules by MEC, in the early stages of IMI, could provide sensitive biomarkers for early detection and therefore, treatment of mastitis. Experiments were performed using ovine microarrays (Agilent) to compare gene expression patterns before infection, at 12h, 18h and 24h post-infection (PI). 20 sample records; mono-colour experimental design
2013-08-31 | E-GEOD-39315 | biostudies-arrayexpress
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Project description:Mastitis is an inflammation of the mammary gland (MG), usually due to bacterial infection. Although considerable attention has been paid to this economically important disease, the early stages of the host response remain poorly defined. In particular, it is unclear how mammary epithelial cells (MEC), a first barrier against pathogens, respond to infection. Indeed, it is difficult to differentiate between the contributions of MEC and infiltrating immune cells to gene expression profiles of mammary tissue during mastitis. The current investigation examines the response of MEC at the early stage of infection using a non invasive RNA sampling method taking advantage of the presence of cytoplasmic crescents contained in milk fat globules. We have recently shown that, in goats, Milk Fat Globules (MFG) provide a unique source of RNA to study the in vivo regulation of gene expression in MEC. This non invasive RNA sampling method was used during the time course of an experimental intra mammary infection (IMI) with S. aureus. Experiments were performed using ovine microarrays (Agilent) to compare gene expression patterns before infection, at 12h, 18h and 24h post-infection (PI). Furthermore, we combined this approach with laser capture microdissection of MEC isolated from frozen slides of mammary tissue to study some specific genes at the late stage of infection (30h PI). We show that at 18h PI, before the burst of somatic cells in milk, MEC play an important role in the recruitment and activation of inflammatory cells through the IL-8 signaling pathways. Then, at the late stage of infection (30h PI), the contribution of MEC in immune response changes to produce different acute phase proteins, including SAA3, serpin A1 and PTX3. These cells also express factors that contribute directly to fighting infection, such as S100A12. In summary, we demonstrate for the first time in vivo how MEC orchestrate innate immune response during an IMI with S. aureus in the goat species. We report here new opportunities to assess the dynamics of gene expression in the mammary gland, thus providing significant advances in the understanding of MEC immune capacity. Furthermore, the production of some molecules by MEC, in the early stages of IMI, could provide sensitive biomarkers for early detection and therefore, treatment of mastitis.
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