Background & Aims: Celiac disease (CD) is a chronic inflammatory small-bowel enteropathy caused by permanent intolerance to gliadin in wheat gluten, and related proteins in ray and barley. It is disputed whether CD patients tolerate oats. The only treatment of CD is lifelong gluten-free diet (GFD). Only individuals that carry the HLA-DQ2 and/or DQ8 alleles, and eat gluten can develop CD. Dysbiosis in the gut microbiota is a suggested risk factor for CD. T cells in small intestinal mucosa, including intraepithelial lymphocytes (IELs), are known to be important in the pathogenesis of CD. In contrast, the role of intestinal epithelial cells (IECs) is poorly understood. In this thesis we investigated the role of IECs in the immune pathology of CD from duodenal mucosa of children with CD, clinical controls and treated CD. We also investigated the role of CD associated bacteria and oats supplemented GFD on the mucosal immune system. Results: A new CD-associated bacterium, Prevotella jejuni, was isolated and characterized. It is a saccharolytic and proteolytic anaerobe. More than 25 defense-related genes, including IRF1, SPINK4, ITLN1, OAS2, CIITA, HLA-DMB, HLA-DOB, PSMB9, TAP1, BTN3A1, and CX3CL1, were upregulated in IECs in active CD. In two in vitro models for intestinal epithelium, small intestine enteroids and T84 polarized tight monolayers, we showed that 70% of these genes were upregulated by interferon (IFN)-γ via the IRF1 pathway. IRF1 was also upregulated by the CD-associated bacteria P. jejuni and Actinomyces gravenitzii. IECs expressed the NLRP6/8 inflammasome yielding CASP1 and biologically active interleukin (IL)-18, which induces IFN-γ in IELs. P. jejuni bound the intestinal epithelial cell lines T84, Caco2, HT29, and INT407, while Lachnoanaerobaculum umeaense preferentially bound Caco2. P. jejuni caused decreased transepithelial resistance over tight monolayers, while L. umeaense caused an increase. P. jejuni upregulated mRNAs for the detoxification molecules CYP1A1, CYP1A2, CYP1B1, and TIPARP, the chemokines CX3CL1, CXCL1, and CXCL10, the sialyltranserase ST3GAL4, and the inflammation promoting protein S100A3 in tight monolayers. L. umeaense upregulated the chemokines CCL20 and CXCL10, and down-regulated TLR2. In a randomized, double-blinded intervention trial comparing two study-groups, standard GFD and oat-containing GFD, we found that mRNAs for several immune effector molecules and tight junction proteins were only reduced in patients receiving GFD, but not in a substantial fraction of patients on GFD with oats. The down-regulatory cytokines IL-10 and TGF-β1, the cytotoxicity-activating NK-receptors NKG2C and NKG2E, and the tight junction protein claudin-4 remained elevated in the study group on GFD with oats. Conclusions: IECs are far from inactive in CD. A key factor in the epithelial reaction in CD appears to be over-expression of IRF1 in IECs. Dual activation of IRF1 and IRF1-regulated genes, both directly by P. jejuni and indirectly by IFN-γ via the IL-18-inflammasome, would drastically enhance the inflammatory response and lead to the pathological situation seen in active CD. P. jejuni harms the intestinal epithelium, i.e., it is a likely risk factor for CD, while L. umeaense strengthen barrier function and local immunity, possibly acting as a protective. A fraction of CD patients should avoid oats in the diet. / Doctoral thesis

Recently Whole Genome Sequencing (WGS) has become the new high-resolution tool used to trace the source of foodborne outbreaks. There are often only a few genetic differences that can distinguish closely related bacterial isolates, and variability in data quality between different laboratories may influence the results. In this project, a data set from ten laboratories where the same bacterial samples were sequenced using different library preparation kits and sequencing methods in an interlaboratory study, has been used. Factors that could be responsible for the different performance in terms of how well the raw WGS data from the different labs assembles were investigated. The raw data from the different labs assembled very differently. One lab showed adapter sequences in their reads and filtering them improved the assembly substantially. All labs utilizing the transposase-based library preparation kit Nextera, had base composition bias in the beginning of the reads. For many labs, as the coverage was increased, the number of contigs first increased and then decreased. This was due to low number of contaminating reads from other species. However, these contaminations were barely visible in the plots generated by Kraken/Krona. Filtering out contigs with very low coverage removed this problem. Two labs performed much worse than the others. Some of their reads showed quality drop towards the ends, whereas their data also had the longest read length. However, quality trimming the read ends did not improve the assembly. These two labs had higher GC content in their reads compared to the other labs, the reason for this needs further investigation.

京都大学 / 0048 / 新制・論文博士 / 博士(工学) / 乙第12805号 / 論工博第4099号 / 新制||工||1584(附属図書館) / 80849 / 京都大学大学院工学研究科都市環境工学専攻 / (主査)教授 伊藤 禎彦, 教授 米田 稔, 教授 高野 裕久 / 学位規則第4条第2項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DGAM

No description available.

Saskatchewan is the only province in Canada to have routinely tested the antimicrobial susceptibility of all provincially reported human cases of campylobacteriosis. From 1999 to 2006, 1378 human Campylobacter species infections were tested for susceptibility at the Saskatchewan Disease Control Laboratory using the Canadian Integrated Program for Antimicrobial Resistance Surveillance panel and minimum inhibitory concentration (MIC) breakpoints. Of these, 1200 were C. jejuni, 129 were C. coli, with the remaining made up of C. lari, C. laridis, C. upsaliensis and undifferentiated Campylobacter species. Campylobacter coli had significantly higher prevalences of ciprofloxacin resistance (CIPr), erythromycin resistance (ERYr), combined CIPr-ERYr resistance and multidrug resistance (to three or greater drug classes) than C. jejuni. Logistic regression models indicated that CIPr in C. jejuni decreased from 1999 to 2004 and subsequently increased in 2005 and 2006. The risk of CIPr was significantly increased in the winter months (January to March) compared to other seasons. A comparison of logistic regression and Cox proportional hazard survival models found that the latter were better able to detect significant temporal trends in CIPr and tetracycline resistance by directly modeling MICs, but that these trends were more difficult to interpret. Scan statistics detected significant spatial clusters of CIPr C. jejuni infections in urban centers (Saskatoon and Regina) and temporal clusters in the winter months; the space-time permutation model did not detect any space-time clusters. Bernoulli scan tests were computationally the fastest for cluster detection, compared to ordinal MIC and multinomial antibiogram models. eBURST analysis of antibiogram patterns showed a marked distinction between case and non-case isolates from the scan statistic clusters. Multilevel logistic regression models detected significant individual and regional contextual risk factors for infection with CIPr C. jejuni. Patients infected in the winter, that were between the ages of 40-45 years of age, that lived in urban regions and that lived in regions of moderately high poultry density had higher risks of a resistant infection. These results advance the epidemiologic knowledge of CIPr C. jejuni in Saskatchewan and provide novel analytical methods for antimicrobial resistance surveillance data in Canada. / Saskatchewan Disease Control Laboratory (Saskatchewan Ministry of Health); Laboratory for Foodborne Zoonoses (Public Health Agency of Canada); Centre for Foodborne, Environmental and Zoonotic Infectious Diseases (Public Health Agency of Canada); Ontario Veterinary College Blake Graham Fellowship