58 research outputs found

    Circulating beta cell-specific CD8(+) T cells restricted by high-risk HLA class I molecules show antigen experience in children with and at risk of type 1 diabetes

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    In type 1 diabetes (T1D), autoreactive cytotoxic CD8(+) T cells are implicated in the destruction of insulin-producing beta cells. The HLA-B*3906 and HLA-A*2402 class I genes confer increased risk and promote early disease onset, suggesting that CD8(+) T cells that recognize peptides presented by these class I molecules on pancreatic beta cells play a pivotal role in the autoimmune response. We examined the frequency and phenotype of circulating preproinsulin (PPI)-specific and insulin B (InsB)-specific CD8(+) T cells in HLA-B*3906(+) children newly diagnosed with T1D and in high-risk HLA-A*2402(+) children before the appearance of disease-specific autoantibodies and before diagnosis of T1D. Antigen-specific CD8(+) T cells were detected using human leucocyte antigen (HLA) class I tetramers and flow cytometry was used to assess memory status. In HLA-B*3906(+) children with T1D, we observed an increase in PPI5-12-specific transitional memory CD8(+) T cells compared to non-diabetic, age- and HLA-matched subjects. Furthermore, PPI5-12-specific CD8(+) T cells in HLA-B*3906(+) children with T1D showed a significantly more antigen-experienced phenotype compared to polyclonal CD8(+) T cells. In longitudinal samples from high-risk HLA-A*2402(+) children, the percentage of terminal effector cells within the InsB(15-24)-specific CD8(+) T cells was increased before diagnosis relative to samples taken before the appearance of autoantibodies. This is the first study, to our knowledge, to report HLA-B*3906-restricted autoreactive CD8(+) T cells in T1D. Collectively, our results provide evidence that beta cell-reactive CD8(+) T cells restricted by disease-associated HLA class I molecules display an antigen-experienced phenotype and acquire enhanced effector function during the period leading to clinical diagnosis, implicating these cells in driving disease.Peer reviewe

    Prediction of cervical intraepithelial neoplasia grade 2+ (CIN2+) using HPV DNA testing after a diagnosis of atypical squamous cell of undetermined significance (ASC-US) in Catalonia, Spain

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    <p>Abstract</p> <p>Background</p> <p>A protocol for cervical cancer screening among sexually active women 25 to 65 years of age was introduced in 2006 in Catalonia, Spain to increase coverage and to recommend a 3-year-interval between screening cytology. In addition, Human Papillomavirus (HPV) was offered as a triage test for women with a diagnosis of atypical squamous cells of undetermined significance (ASC-US). HPV testing was recommended within 3 months of ASC-US diagnosis. According to protocol, HPV negative women were referred to regular screening including a cytological exam every 3 years while HPV positive women were referred to colposcopy and closer follow-up. We evaluated the implementation of the protocol and the prediction of HPV testing as a triage tool for cervical intraepithelial lesions grade two or worse (CIN2+) in women with a cytological diagnosis of ASC-US.</p> <p>Methods</p> <p>During 2007-08 a total of 611 women from five reference laboratories in Catalonia with a novel diagnosis of ASC-US were referred for high risk HPV (hrHPV) triage using high risk Hybrid Capture version 2. Using routine record linkage data, women were followed for 3 years to evaluate hrHPV testing efficacy for predicting CIN2+ cases. Logistic regression analysis was used to estimate the odds ratio for CIN2 +.</p> <p>Results</p> <p>Among the 611 women diagnosed with ASC-US, 493 (80.7%) had at least one follow-up visit during the study period. hrHPV was detected in 48.3% of the women at study entry (mean age 35.2 years). hrHPV positivity decreased with increasing age from 72.6% among women younger than 25 years to 31.6% in women older than 54 years (<it>p </it>< 0.01).</p> <p>At the end of the 3 years follow-up period, 37 women with a diagnosis of CIN2+ (18 CIN2, 16 CIN3, 2 cancers, and 1 with high squamous intraepithelial lesions -HSIL) were identified and all but one had a hrHPV positive test at study entry. Sensitivity to detect CIN2+ of hrHPV was 97.2% (95%confidence interval (CI) = 85.5-99.9) and specificity was 68.3% (95%CI = 63.1-73.2). The odds ratio for CIN2+ was 45.3 (95% CI: 6.2-333.0), when among ASC-US hrHPV positive women were compared to ASC-US hrHPV negative women.</p> <p>Conclusions</p> <p>Triage of ASC-US with hrHPV testing showed a high sensitivity for the detection of CIN2+ and a high negative predictive value after 3 years of follow-up. The results of this study are in line with the current guidelines for triage of women with ASC-US in the target age range of 25-65. Non adherence to guidelines will lead to unnecessary medical interventions. Further investigation is needed to improve specificity of ASC-US triage.</p

    Circulating β cell-specific CD8+ T cells restricted by high-risk HLA class I molecules show antigen experience in children with and at risk of type 1 diabetes

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    In type 1 diabetes (T1D), autoreactive cytotoxic CD8+ T cells are implicated in the destruction of insulin‐producing β cells. The HLA‐B*3906 and HLA‐A*2402 class I genes confer increased risk and promote early disease onset, suggesting that CD8+ T cells that recognize peptides presented by these class I molecules on pancreatic β cells play a pivotal role in the autoimmune response. We examined the frequency and phenotype of circulating preproinsulin (PPI)‐specific and insulin B (InsB)‐specific CD8+ T cells in HLA‐B*3906+ children newly diagnosed with T1D and in high‐risk HLA‐A*2402+ children before the appearance of disease‐specific autoantibodies and before diagnosis of T1D. Antigen‐specific CD8+ T cells were detected using human leucocyte antigen (HLA) class I tetramers and flow cytometry was used to assess memory status. In HLA‐B*3906+ children with T1D, we observed an increase in PPI5–12‐specific transitional memory CD8+ T cells compared to non‐diabetic, age‐ and HLA‐matched subjects. Furthermore, PPI5–12‐specific CD8+ T cells in HLA‐B*3906+ children with T1D showed a significantly more antigen‐experienced phenotype compared to polyclonal CD8+ T cells. In longitudinal samples from high‐risk HLA‐A*2402+ children, the percentage of terminal effector cells within the InsB15–24‐specific CD8+ T cells was increased before diagnosis relative to samples taken before the appearance of autoantibodies. This is the first study, to our knowledge, to report HLA‐B*3906‐restricted autoreactive CD8+ T cells in T1D. Collectively, our results provide evidence that β cell‐reactive CD8+ T cells restricted by disease‐associated HLA class I molecules display an antigen‐experienced phenotype and acquire enhanced effector function during the period leading to clinical diagnosis, implicating these cells in driving disease.</p

    Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)

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    The third edition of Flow Cytometry Guidelines provides the key aspects to consider when performing flow cytometry experiments and includes comprehensive sections describing phenotypes and functional assays of all major human and murine immune cell subsets. Notably, the Guidelines contain helpful tables highlighting phenotypes and key differences between human and murine cells. Another useful feature of this edition is the flow cytometry analysis of clinical samples with examples of flow cytometry applications in the context of autoimmune diseases, cancers as well as acute and chronic infectious diseases. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid. All sections are written and peer-reviewed by leading flow cytometry experts and immunologists, making this edition an essential and state-of-the-art handbook for basic and clinical researchers

    Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)

    Get PDF
    The third edition of Flow Cytometry Guidelines provides the key aspects to consider when performing flow cytometry experiments and includes comprehensive sections describing phenotypes and functional assays of all major human and murine immune cell subsets. Notably, the Guidelines contain helpful tables highlighting phenotypes and key differences between human and murine cells. Another useful feature of this edition is the flow cytometry analysis of clinical samples with examples of flow cytometry applications in the context of autoimmune diseases, cancers as well as acute and chronic infectious diseases. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid. All sections are written and peer-reviewed by leading flow cytometry experts and immunologists, making this edition an essential and state-of-the-art handbook for basic and clinical researchers

    Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)

    Get PDF
    The third edition of Flow Cytometry Guidelines provides the key aspects to consider when performing flow cytometry experiments and includes comprehensive sections describing phenotypes and functional assays of all major human and murine immune cell subsets. Notably, the Guidelines contain helpful tables highlighting phenotypes and key differences between human and murine cells. Another useful feature of this edition is the flow cytometry analysis of clinical samples with examples of flow cytometry applications in the context of autoimmune diseases, cancers as well as acute and chronic infectious diseases. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid. All sections are written and peer‐reviewed by leading flow cytometry experts and immunologists, making this edition an essential and state‐of‐the‐art handbook for basic and clinical researchers.DFG, 389687267, Kompartimentalisierung, Aufrechterhaltung und Reaktivierung humaner Gedächtnis-T-Lymphozyten aus Knochenmark und peripherem BlutDFG, 80750187, SFB 841: Leberentzündungen: Infektion, Immunregulation und KonsequenzenEC/H2020/800924/EU/International Cancer Research Fellowships - 2/iCARE-2DFG, 252623821, Die Rolle von follikulären T-Helferzellen in T-Helferzell-Differenzierung, Funktion und PlastizitätDFG, 390873048, EXC 2151: ImmunoSensation2 - the immune sensory syste

    Molecular characterization of the coat protein gene of prunus necrotic ringspot virus infecting peach in Montenegro

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    In 2011 and 2012, two major peach-growing areas in Montenegro were surveyed for the occurrence of eleven peach viruses. Samples collected from 105 peach and nectarine trees were tested by Reverse transcription-polymerase chain reaction (RT-PCR) using sets of primers specific for the detection of Apple chlorotic leaf spot virus (ACLSV), Apple mosaic virus (ApMV), Cherry mottle leaf virus (CMLV), Prunus necrotic ringspot virus (PNRSV), Prune dwarf virus (PDV), Peach mosaic virus (PMV), Peach rosette mosaic virus (PRMV), Tobacco ringspot virus (TRSV) and Tomato ringspot virus (ToRSV). The occurrence of Strawberry latent ringspot virus (SLRSV) was examined using nested RT-PCR, while a Real-time quantitative RT-PCR method was applied for detection of Plum pox virus (PPV). PPV, PNRSV and PDV were detected in 42.9, 24.8 and 0.9 % of samples. Mixed viral infections were recorded in 6.7 % of samples, while results showed the absence of ACLSV, ApMV, PMV, CMLV, SLRSV, PRMV, TRSV and ToRSV from all assayed samples. In particular, the PCR products of complete coat protein (CP) gene was cloned and sequenced from fourteen PNRSV isolates. A high identity (87.5–100 %) was found between CP nucleotide sequences of Montenegrin isolates and other PNRSV isolates from different hosts and geographic regions retrieved from GenBank. CP nucleotide sequence comparison, as well as phylogenetic reconstruction confirmed the clustering of the isolates into three molecular groups (PV-96, PV-32 and PE-5), whereby Montenegrin isolates were separated into two phylogroups (PV-96 and PE-5). Comparative sequence and phylogenetic analysis showed that clustering of various isolates was not associated with geographic and host origin
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