Generation of reconstituted human plasma-derived secretory-like IgA and IgM and their protective effect on intestinal epithelium

Les muqueuses sont les membranes tapissant les cavités du corps, tel que le tube digestif, et sont en contact direct avec l'environnement extérieur. Ces surfaces subissent de nombreuses agressions pouvant être provoquées par des agents pathogènes (bactéries, toxines ou virus). Cela étant, les muqueuses sont munies de divers mécanismes de protection dont notamment deux protéines-clés permettant de neutraliser les agents pathogènes : les anticorps ou immunoglobulines sécrétoires A (SIgA) et M (SIgM). Ces anticorps sont, d'une part, fabriqués au niveau de la muqueuse sous forme d'IgA et IgM. Lorsqu'ils sont sécrétés dans l'intestin, ils se lient à une protéine appelée pièce sécrétoire et deviennent ainsi SIgA et SïgM. La présence de la pièce sécrétoire est essentielle pour que les anticorps puissent fonctionner au niveau de la muqueuse. D'autre part, ces anticorps sont également fabriqués dans d'autres parties du corps en général et se retrouvent dans le sang sous forme d'IgA et IgM Chez l'homme, des thérapies basées sur l'injection d'anticorps donnent de bons résultats depuis de nombreuses années notamment dans le traitement des infections. Bien qu'un certain nombre d'études ont montré le rôle protecteur des anticorps de type IgA et IgM, ceux-ci ne sont que rarement utilisés dans les thérapies actuelles. La principale raison de cette faible utilisation réside dans la production ou la purification des IgA/IgM ou SIgA/SIgM (la forme active au niveau des muqueuses) qui est difficile à réaliser à large échelle. Ainsi, le but de la thèse était (1) d'étudier la possibilité d'employer des IgA et des IgM provenant du sang humain pour générer des SIgA et SIgM et (2) de voir si ces anticorps reconstitués pouvaient neutraliser certains agents pathogènes au niveau des muqueuses. Tout d'abord, une analyse biochimique des IgA et des IgM issues du sang a été effectuée. Nous avons observé que ces anticorps avaient des caractéristiques similaires aux anticorps naturellement présents au niveau des muqueuses. De plus, nous avons confirmé que ces anticorps pouvaient être associés à une pièce sécrétoire produite en laboratoire pour ainsi donner des SIgA et SIgM reconstituées. Ensuite, la fonctionnalité des anticorps reconstitués a été testée grâce à un modèle de couche unique de cellules intestinales différenciées (monocouches) en laboratoire imitant la paroi de l'intestin. Ces monocouches ont été infectées par une bactérie pathogène, Shigella flexneri, responsable de la shigellose, une maladie qui provoque des diarrhées sanglantes chez l'homme. L'infection des monocouches par les bactéries seules ou combinées aux SIgA et SIgM reconstituées a été analysée. Nous avons observé que les dommages des cellules étaient moins importants lorsque les SIgA étaient présentes. Il apparaît que les SIgA neutralisent les bactéries en se fixant dessus, ce qui provoque leur agrégation, et diminuent l'inflammation des cellules. La protection s'est montrée encore plus efficace avec les SIgM. De plus, nous avons vu que les SIgA et SIgM pouvaient diminuer la sécrétion de facteurs nocifs produits par les bactéries. Utilisant le même modèle des monocouches, la fonctionnalité des IgA issues du sang humain a aussi été testée contre une toxine sécrétée par une bactérie appelée Clostridium diffìcile. Cette bactérie peut être présente naturellement dans l'intestin de personnes saines, cependant elle peut devenir pathogène dans certaines conditions et être à l'origine de diarrhées et d'inflammations de l'intestin via la sécrétion de toxines. Des préparations d'anticorps contenant une certaine proportion de SIgA reconstituées ont amené à une diminution des dommages et de l'inflammation des monocouches causés par la toxine. L'ensemble de ces résultats prometteurs, montrant que des SIgA et SIgM reconstituées peuvent protéger la paroi de l'intestin des infections bactériennes, nous conduisent à approfondir la recherche sur ces anticorps dans des modèles animaux. L'aboutissement de ce type de recherche permettrait de tester, par la suite, l'efficacité sur l'homme de traitements des infections des muqueuses par injection d'anticorps de type SIgA et SIgM reconstituées. Les muqueuses, telle que la muqueuse gastrointestinale, sont des surfaces constamment exposées à l'environnement et leur protection est garantie par une combinaison de barrières mécaniques, physicochimiques et immunologiques. Parmi les divers mécanismes de protection immunologiques, la réponse humorale spécifique joue un rôle prépondérant et est assurée par les immunoglobulines sécrétoires de type A (SIgA) et M (SIgM). Les thérapies basées sur l'administration d'IgG apportent d'importants bénéfices dans le domaine de la santé. Bien que des études sur les animaux aient montré que l'administration par voie muqueuse d'IgA polymérique (plgA) ou SIgA pouvaient protéger des infections, des IgA/SIgA n'ont été utilisées qu'occasionnellement dans les thérapies. De plus, des études précliniques et cliniques ont démontré que l'administration par voie systémique de préparations enrichies en IgM pouvait aussi protéger des infections. Cependant, l'administration par voie muqueuse d'IgM/SIgM purifiées n'a pas été examinée jusqu'à présent. La principale raison est que la purification ou là production des IgA/SIgA et IgM/SIgM est difficile à réaliser à large échelle. Le but de ce travail de thèse était d'examiner la possibilité d'associer des IgA et IgM polyclonals purifiées à partir du plasma humain avec une pièce sécrétoire recombinante humaine afin de générer des SIgA et SIgM reconstituées fonctionnelles. Tout d'abord, une analyse biochimique des IgA et IgM issues du plasma humain a été effectuée par buvardage de western et Chromatographie. Ces molécules avaient des caractéristiques biochimiques similaires à celles des immunoglobulines issues de la muqueuse. L'association entre plgA ou IgM issues du plasma humain et la pièce sécrétoire recombinante humaine a été confirmée, ainsi que la stoechiométrie 1:1 de l'association. Comme dans les conditions physiologiques, cette association permettait de retarder la dégradation des SIgA et SIgM reconstituées exposées à des protéases intestinales. Ensuite, la fonctionnalité et le mode d'action des IgA et IgM issues du plasma humain, ainsi que des SIgA et SIgM reconstituées, ont été explorés grâce à un modèle in vitro de monocouches de cellules intestinales épithéliales polarisées de type Caco-2, qui imite l'épithélium intestinal. Les monocouches ont été infectées par un pathogène entérique, Shigella flexneri, seul ou combiné aux immunoglobulines issues du plasma humain ou aux immunoglobulines sécrétoires reconstituées. Bien que les dommages des monocouches aient été retardés par les plgA et SIgA reconstituées, les IgM et SIgM reconstituées se sont montrées supérieures dans le maintien de l'intégrité des cellules. Une agrégation bactérienne et une diminution de l'inflammation des monocouches ont été observées avec les plgA et SIgA reconstituées. Ces effets étaient augmentés avec les IgM et SIgM reconstituées. De plus, il s'est révélé que les deux types d'immunoglobulines de type sécrétoire reconstituées agissaient directement sur la virulence des bactéries en réduisant leur sécrétion de facteurs de virulence. La fonctionnalité des IgA issues du plasma humain a aussi été testée contre la toxine A de Clostridium difficile grâce au même modèle de monocouches de cellules épithéliales. Nous avons démontré que des préparations enrichies en IgA provenant du plasma humain pouvaient diminuer les dommages et l'inflammation des monocouches induits par la toxine. L'ensemble de ces résultats démontrent que des IgA et IgM de type sécrétoire peuvent être générées à partir d'IgA et IgM issues du plasma humain en les associant à la pièce sécrétoire et que ces molécules protègent l'épithélium intestinal contre des bactéries pathogènes. Ces molécules pourraient dès lors être testées dans des modèles in vivo. Le but final serait de les utiliser chez l'homme à des fins d'immunisation passive dans le traitement de pathologies associées à la muqueuse telles que les infections. - Mucosal surfaces, such as gastrointestinal mucosa, are constantly exposed to the external environment and their protection is ensured by a combination of mechanical, physicochemical and immunological barriers. Among the various immunological defense mechanisms, specific humoral mucosal response plays a crucial role and is mediated by secretory immunoglobulins A (SIgA) and M (SIgM). Immunoglobulin therapy based on the administration of IgG molecules leads important health benefits. Even though animal studies have shown that mucosal application of polymeric IgA (plgA) or SIgA provided protection against infections, IgA/SIgA have been only used occasionally for therapeutic application. Moreover, preclinical and clinical studies have demonstrated that systemic administration of IgM-enriched preparations could also afford protection against infections. Nevertheless, mucosal application of purified IgM/SIgM has not been examined. The main reason is that the purification or production of IgA/SIgA and IgM/SIgM at large scale is difficult to achieve. The aim of this PhD project was to examine the possibility to associate polyclonal human plasma-derived IgA and IgM with recombinant human secretory component (SC) to generate functional secretoiy-like IgA and IgM. First, biochemical analysis of human plasma IgA and IgM was performed by western blotting and chromatography. These molecules exhibited the same biochemical features as mucosa-derived antibodies (Abs). The association between human plasma plgA or IgM and recombinant human SC was confirmed, as well as the 1:1 stoichiometry of association. Similarly to physiological conditions, this association delayed the degradation of secretory-like IgA or IgM by intestinal proteases. Secondly, the function activity and the mode of action of human plasma IgA and IgM, as well as secretory-like IgA and IgM were explored using an in vitro model of polarized intestinal epithelial Caco-2 cell monolayers mimicking intestinal epithelium. Cell monolayers were infected with an enteropathogen, Shigella flexneri, alone or in combination to plasma Abs or secretory-like Abs. Even though plasma plgA and secretoiy-like IgA resulted in a delay of bacteria-induced damages of cell monolayers, plasma IgM and secretory-like IgM were shown to be superior in maintenance of cell integrity. Polymeric IgA and secretory-like IgA induced bacterial aggregation and decreased cell monolayer inflammation, effects further amplified with IgM and secretory-like IgM. In addition, both secretory-like Abs directly impacted on bacterial virulence leading to a reduction in secretion of virulence factors by bacteria. The functionality of human plasma IgA was also tested against Clostridium difficile toxin A using Caco-2 cell monolayers. Human plasma IgA- enriched preparations led to a diminution of cell monolayer damages and a decrease of cellular inflammation induced by the toxin. The sum of these results demonstrates that secretory-like IgA and IgM can be generated from purified human plasma IgA and IgM associated to SC and that these molecules are functional to protect intestinal epithelium from bacterial infections. These molecules could be now tested using in vivo models. The final goal would be to use them by passive immunization in the treatment of mucosa-associated pathologies like infections in humans.

Updated survival data of the phase iii clinical trial of novottf-100a versus best standard chemotherapy for recurrent glioblastoma

NovoTTF-100A (TTF) is a portable device delivering low-intensity, intermediate-frequency, alternating electric fields using noninvasive, disposable scalp electrodes. TTF interferes with tumor cell division, and it has been approved by the US Food and Drug Administration (FDA) for the treatment of recurrent glioblastoma (rGBM) based on data from a phase III trial. This presentation describes the updated survival data 2 years after completing recruitment. Adults with rGBM (KPS ≥ 70) were randomized (stratified by surgery and center) to either continuous TTF (20-24 h/day, 7 days/week) or efficacious chemotherapy based on best physician choice (BPC). The primary endpoint was overall survival (OS), and secondary endpoints were PFS6, 1-year survival, and QOL. Patients were randomized (28 US and European centers) to either TTF alone (n ¼ 120) or BPC (n ¼ 117). Patient characteristics were balanced, median age was 54 years (range, 23-80 years), and median KPS was 80 (range, 50-100). One quarter of the patients had debulking surgery, and over half of the patients were at their second or later recurrence. OS in the intent-to-treat (ITT) population was equivalent in TTF versus BPC patients (median OS, 6.6vs. 6.0 months; n ¼ 237; p ¼ 0.26; HR ¼ 0.86). With a median follow-up of 33.6 months, long-term survival in the TTF group was higher than that in the BPC group at 2, 3, and 4 years of follow-up (9.3% vs. 6.6%; 8.4% vs. 1.4%; 8.4% vs. 0.0%, respectively). Analysis of patients who received at least one treatment course demonstrated a survival benefit for TTF patients compared to BPC patients (median OS, 7.8 vs. 6.0 months; n ¼ 93 vs. n ¼ 117; p ¼ 0.012; HR ¼ 0.69). In this group, 1-year survival was 28% vs. 20%, and PFS6 was 26.2% vs. 15.2% (p ¼ 0.034). TTF, a noninvasive, novel cancer treatment modality shows significant therapeutic efficacy with promising long-term survival results. The impact of TTF was more pronounced when comparing only patients who received the minimal treatment course. A large-scale phase III trial in newly diagnosed GBM is ongoing.

An evaluation of new parsimony-based versus parametric inference methods in biogeography: a case study using the globally distributed plant family Sapindaceae

Aim  Recently developed parametric methods in historical biogeography allow researchers to integrate temporal and palaeogeographical information into the reconstruction of biogeographical scenarios, thus overcoming a known bias of parsimony-based approaches. Here, we compare a parametric method, dispersal-extinction-cladogenesis (DEC), against a parsimony-based method, dispersal-vicariance analysis (DIVA), which does not incorporate branch lengths but accounts for phylogenetic uncertainty through a Bayesian empirical approach (Bayes-DIVA). We analyse the benefits and limitations of each method using the cosmopolitan plant family Sapindaceae as a case study.Location  World-wide.Methods  Phylogenetic relationships were estimated by Bayesian inference on a large dataset representing generic diversity within Sapindaceae. Lineage divergence times were estimated by penalized likelihood over a sample of trees from the posterior distribution of the phylogeny to account for dating uncertainty in biogeographical reconstructions. We compared biogeographical scenarios between Bayes-DIVA and two different DEC models: one with no geological constraints and another that employed a stratified palaeogeographical model in which dispersal rates were scaled according to area connectivity across four time slices, reflecting the changing continental configuration over the last 110 million years.Results  Despite differences in the underlying biogeographical model, Bayes-DIVA and DEC inferred similar biogeographical scenarios. The main differences were: (1) in the timing of dispersal events - which in Bayes-DIVA sometimes conflicts with palaeogeographical information, and (2) in the lower frequency of terminal dispersal events inferred by DEC. Uncertainty in divergence time estimations influenced both the inference of ancestral ranges and the decisiveness with which an area can be assigned to a node.Main conclusions  By considering lineage divergence times, the DEC method gives more accurate reconstructions that are in agreement with palaeogeographical evidence. In contrast, Bayes-DIVA showed the highest decisiveness in unequivocally reconstructing ancestral ranges, probably reflecting its ability to integrate phylogenetic uncertainty. Care should be taken in defining the palaeogeographical model in DEC because of the possibility of overestimating the frequency of extinction events, or of inferring ancestral ranges that are outside the extant species ranges, owing to dispersal constraints enforced by the model. The wide-spanning spatial and temporal model proposed here could prove useful for testing large-scale biogeographical patterns in plants.

TV taskussa - tänään ja tulevaisuudessa

The objective of my thesis was to find out how mobile TV service will influence TV consumption behaviour of the Finns. In particular the study focuses on the consumption behaviour of a well educated urban people. For my thesis, I provided a detailed analysis of the study results of a large scale questionnaire research FinPilot from the year 2005 based on an assignment of Nokia Ltd. In order to deepen the study results, I focused on the above mentioned group of young people with good education. The goal of the FinPilot research was to give answers to the following questions: what kind of programs, in what kind of circumstances, and for which reasons are they watched when using the mobile television service. The results of the research consisted mainly of data like figures, graphics etc. The data was explaned from the helicopter perspective, for it gave additional value to the research and consequently to my own thesis. My study offered complementary, unique information about their needs as it was based on questionnaires supplemented by individual interviews of the group members, their free comments as well as group discussions. The study results proved that mobile TV service did not increase the total TV consumption time. The time used for watching the mobile TV was significantly shorter than the time for watching the traditional TV. According to my study, the young urban people with good education are more interested to adapt the mobile TV service than the average Finns. Being eager to utilize the added value offered by the mobile TVs they are a potential target group in launching and marketing processes. On the basis of the outcome of the thesis, the future of mobile TV service seems very promising. The content and the pricing, however, have to match the user's needs and expectations. All the study results prove that there exists a social order for mobile TV service.

Designing phase III or IV trials for vaccines: choosing between individual or cluster randomised trial designs.

The choice of design between individual randomisation, cluster or pseudo-cluster randomisation is often made difficult. Clear methodological guidelines have been given for trials in general practice, but not for vaccine trials. This article proposes a decisional flow-chart to choose the most adapted design for evaluating the effectiveness of a vaccine in large-scale studies. Six criteria have been identified: importance of herd immunity or herd protection, ability to delimit epidemiological units, homogeneity of transmission probability across sub-populations, population's acceptability of randomisation, availability of logistical resources, and estimated sample size. This easy to use decisional method could help sponsors, trial steering committees and ethical committees adopt the most suitable design.

Experimental and computational approaches to quantitative proteomics: status quo and outlook.

Proteomics has come a long way from the initial qualitative analysis of proteins present in a given sample at a given time ("cataloguing") to large-scale characterization of proteomes, their interactions and dynamic behavior. Originally enabled by breakthroughs in protein separation and visualization (by two-dimensional gels) and protein identification (by mass spectrometry), the discipline now encompasses a large body of protein and peptide separation, labeling, detection and sequencing tools supported by computational data processing. The decisive mass spectrometric developments and most recent instrumentation news are briefly mentioned accompanied by a short review of gel and chromatographic techniques for protein/peptide separation, depletion and enrichment. Special emphasis is placed on quantification techniques: gel-based, and label-free techniques are briefly discussed whereas stable-isotope coding and internal peptide standards are extensively reviewed. Another special chapter is dedicated to software and computing tools for proteomic data processing and validation. A short assessment of the status quo and recommendations for future developments round up this journey through quantitative proteomics.

Mapping the structural core of human cerebral cortex.

Structurally segregated and functionally specialized regions of the human cerebral cortex are interconnected by a dense network of cortico-cortical axonal pathways. By using diffusion spectrum imaging, we noninvasively mapped these pathways within and across cortical hemispheres in individual human participants. An analysis of the resulting large-scale structural brain networks reveals a structural core within posterior medial and parietal cerebral cortex, as well as several distinct temporal and frontal modules. Brain regions within the structural core share high degree, strength, and betweenness centrality, and they constitute connector hubs that link all major structural modules. The structural core contains brain regions that form the posterior components of the human default network. Looking both within and outside of core regions, we observed a substantial correspondence between structural connectivity and resting-state functional connectivity measured in the same participants. The spatial and topological centrality of the core within cortex suggests an important role in functional integration.

BME-based uncertainty assessment of the Chernobyl fallout

The vast territories that have been radioactively contaminated during the 1986 Chernobyl accident provide a substantial data set of radioactive monitoring data, which can be used for the verification and testing of the different spatial estimation (prediction) methods involved in risk assessment studies. Using the Chernobyl data set for such a purpose is motivated by its heterogeneous spatial structure (the data are characterized by large-scale correlations, short-scale variability, spotty features, etc.). The present work is concerned with the application of the Bayesian Maximum Entropy (BME) method to estimate the extent and the magnitude of the radioactive soil contamination by 137Cs due to the Chernobyl fallout. The powerful BME method allows rigorous incorporation of a wide variety of knowledge bases into the spatial estimation procedure leading to informative contamination maps. Exact measurements (?hard? data) are combined with secondary information on local uncertainties (treated as ?soft? data) to generate science-based uncertainty assessment of soil contamination estimates at unsampled locations. BME describes uncertainty in terms of the posterior probability distributions generated across space, whereas no assumption about the underlying distribution is made and non-linear estimators are automatically incorporated. Traditional estimation variances based on the assumption of an underlying Gaussian distribution (analogous, e.g., to the kriging variance) can be derived as a special case of the BME uncertainty analysis. The BME estimates obtained using hard and soft data are compared with the BME estimates obtained using only hard data. The comparison involves both the accuracy of the estimation maps using the exact data and the assessment of the associated uncertainty using repeated measurements. Furthermore, a comparison of the spatial estimation accuracy obtained by the two methods was carried out using a validation data set of hard data. Finally, a separate uncertainty analysis was conducted that evaluated the ability of the posterior probabilities to reproduce the distribution of the raw repeated measurements available in certain populated sites. The analysis provides an illustration of the improvement in mapping accuracy obtained by adding soft data to the existing hard data and, in general, demonstrates that the BME method performs well both in terms of estimation accuracy as well as in terms estimation error assessment, which are both useful features for the Chernobyl fallout study.

Identification and functional characterization of Rca1, a transcription factor involved in both antifungal susceptibility and host response in Candida albicans.

The identification of novel transcription factors associated with antifungal response may allow the discovery of fungus-specific targets for new therapeutic strategies. A collection of 241 Candida albicans transcriptional regulator mutants was screened for altered susceptibility to fluconazole, caspofungin, amphotericin B, and 5-fluorocytosine. Thirteen of these mutants not yet identified in terms of their role in antifungal response were further investigated, and the function of one of them, a mutant of orf19.6102 (RCA1), was characterized by transcriptome analysis. Strand-specific RNA sequencing and phenotypic tests assigned Rca1 as the regulator of hyphal formation through the cyclic AMP/protein kinase A (cAMP/PKA) signaling pathway and the transcription factor Efg1, but also probably through its interaction with a transcriptional repressor, most likely Tup1. The mechanisms responsible for the high level of resistance to caspofungin and fluconazole observed resulting from RCA1 deletion were investigated. From our observations, we propose that caspofungin resistance was the consequence of the deregulation of cell wall gene expression and that fluconazole resistance was linked to the modulation of the cAMP/PKA signaling pathway activity. In conclusion, our large-scale screening of a C. albicans transcription factor mutant collection allowed the identification of new effectors of the response to antifungals. The functional characterization of Rca1 assigned this transcription factor and its downstream targets as promising candidates for the development of new therapeutic strategies, as Rca1 influences host sensing, hyphal development, and antifungal response.

Mycorrhizal ecology and evolution: the past, the present, and the future.

1406 I. 1407 II. 1408 III. 1410 IV. 1411 V. 1413 VI. 1416 VII. 1418 1418 References 1419 SUMMARY: Almost all land plants form symbiotic associations with mycorrhizal fungi. These below-ground fungi play a key role in terrestrial ecosystems as they regulate nutrient and carbon cycles, and influence soil structure and ecosystem multifunctionality. Up to 80% of plant N and P is provided by mycorrhizal fungi and many plant species depend on these symbionts for growth and survival. Estimates suggest that there are c. 50 000 fungal species that form mycorrhizal associations with c. 250 000 plant species. The development of high-throughput molecular tools has helped us to better understand the biology, evolution, and biodiversity of mycorrhizal associations. Nuclear genome assemblies and gene annotations of 33 mycorrhizal fungal species are now available providing fascinating opportunities to deepen our understanding of the mycorrhizal lifestyle, the metabolic capabilities of these plant symbionts, the molecular dialogue between symbionts, and evolutionary adaptations across a range of mycorrhizal associations. Large-scale molecular surveys have provided novel insights into the diversity, spatial and temporal dynamics of mycorrhizal fungal communities. At the ecological level, network theory makes it possible to analyze interactions between plant-fungal partners as complex underground multi-species networks. Our analysis suggests that nestedness, modularity and specificity of mycorrhizal networks vary and depend on mycorrhizal type. Mechanistic models explaining partner choice, resource exchange, and coevolution in mycorrhizal associations have been developed and are being tested. This review ends with major frontiers for further research.