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Transcriptional profiling of immune-related genes in Leishmania infantum-infected mice: identification of potential biomarkers of infection and progression of disease [BIOMARKERS]

ABSTRACT: Leishmania spp. is a protozoan parasite that affects millions of people around the world. At present, there is no effective vaccine to prevent leishmaniases in humans. A major limitation in vaccine development is the lack of precise understanding of the particular immunological mechanisms that allow parasite survival in the host. The parasite-host cell interaction induces dramatic changes in transcriptome patterns in both organisms, therefore, a detailed analysis of gene expression in infected tissues will contribute to the evaluation of drug and vaccine candidates, the identification of potential biomarkers, and the understanding of the immunological pathways that lead to protection or progression of disease. High-throughput real-time quantitative PCR is a highly sensitive, and specific technique that allows analysis of gene expression in multiple genes at the same time. Hence, it is an interesting approach that may bring light to this complex topic. In this large-scale analysis, forty-seven BALB/c mice were divided in two groups: control mice and mice infected with L. infantum promastigotes. After infection animals were sacrificed at different timepoints, RNA was purified from spleens and expression of 112 genes related with immune system was determined by high-throughput qPCR. These extensive gene-expression analyses reveal a selective recruitment of lymphocytes to the spleen and an immunosuppressive response, which favors parasite persistence, in early stages of the infection. In later stages of infection, gene-expression patterns suggest an inflammatory process that should resolve infection. Nevertheless, a detailed analysis reveals that L. infantum infection induces a regulatory process that counteracts the Th1/M1 response. This large pool of data was also used to identify a group of potential biomarkers of infection and parasitic burden in spleen, on the bases of two different statistical models, a logistic regression analysis and a linear regression analysis. Given the results, it seems clear that gene expression signature analysis is a useful tool to identify the mechanisms involved in disease outcome and to establish a rational approach for the identification of potential biomarkers useful for monitoring disease progression, new therapies or vaccine development in Leishmaniases.

ORGANISM(S): Mus musculus

PROVIDER: GSE112138 | GEO | 2018/05/22

REPOSITORIES: GEO

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Project description:Leishmania spp. is a protozoan parasite that affects millions of people around the world. At present, there is no effective vaccine to prevent leishmaniases in humans. A major limitation in vaccine development is the lack of precise understanding of the particular immunological mechanisms that allow parasite survival in the host. The parasite-host cell interaction induces dramatic changes in transcriptome patterns in both organisms, therefore, a detailed analysis of gene expression in infected tissues will contribute to the evaluation of drug and vaccine candidates, the identification of potential biomarkers, and the understanding of the immunological pathways that lead to protection or progression of disease. High-throughput real-time quantitative PCR is a highly sensitive, and specific technique that allows analysis of gene expression in multiple genes at the same time. Hence, it is an interesting approach that may bring light to this complex topic. In this large-scale analysis, forty-seven BALB/c mice were divided in two groups: control mice and mice infected with L. infantum promastigotes. After infection animals were sacrificed at different timepoints, RNA was purified from spleens and expression of 112 genes related with immune system was determined by high-throughput qPCR. These extensive gene-expression analyses reveal a selective recruitment of lymphocytes to the spleen and an immunosuppressive response, which favors parasite persistence, in early stages of the infection. In later stages of infection, gene-expression patterns suggest an inflammatory process that should resolve infection. Nevertheless, a detailed analysis reveals that L. infantum infection induces a regulatory process that counteracts the Th1/M1 response. Given the results, it seems clear that gene expression signature analysis is a useful tool to identify the mechanisms involved in disease outcome and to establish a rational approach for the identification of potential biomarkers useful for monitoring disease progression, new therapies or vaccine development in Leishmaniases.

Project description:Effective management and control of parasitic infections on farms depends on their early detection. Traditional serological diagnostic methods for Fasciola hepatica infection in livestock are specific and sensitive, but currently the earliest detection of the parasite only occurs at approximately three weeks post-infection. At this timepoint, parasites have already entered the liver and caused the tissue damage and immunopathology that results in reduced body weight and loss in productivity. Here, we investigated whether the differential abundance of micro(mi)miRNAs in sera of F. hepatica-infected sheep has potential as a tool for the early diagnosis of infection. Using miRNA sequencing analysis, we discovered specific profiles of sheep miRNAs at both the pre-hepatic and hepatic infection phases in comparison to non-infected sheep. In addition, six F. hepatica-derived miRNAs were specifically identified in sera from infected sheep. Thus, a panel of differentially expressed miRNAs comprising four sheep (miR-3231-3p; miR133-5p; 3957-5p; 1197-3p) and two parasite miRNAs (miR-124-3p; miR-Novel-11-5p) were selected as potential biomarkers. The expression of these candidates in sera samples from longitudinal sheep infection studies collected between 7 days and 23 weeks was quantified using RT-qPCR and compared to samples from age-matched non-infected sheep. We identified oar-miR-133-5p and oar-miR-3957-5p as promising biomarkers of fasciolosis, detecting infection as early as 7 days. The differential expression of the other selected miRNAs was not sufficient to diagnose infection; however, our analysis found that the most abundant forms of fhe-miR-124-3p in sera were sequence variants (IsomiRs) of the canonical miRNA, highlighting the critical importance of primer design for accurate diagnostic RT-qPCR. Accordingly, this investigative study suggests that certain miRNAs are biomarkers of F. hepatica infection and validates miRNA-based diagnostics for the detection of fasciolosis in sheep.

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Transcriptional profiling of immune-related genes in Leishmania infantum-infected mice: identification of potential biomarkers of infection and progression of disease [BIOMARKERS]

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