997 resultados para Novel Ecosystems


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Chemotherapeutic drug resistance is one of the major causes for treatment failure in high-risk neuroblastoma (NB), the most common extra cranial solid tumor in children. Poor prognosis is typically associated with MYCN amplification. Here, we utilized a loss-of-function kinome-wide RNA interference screen to identify genes that cause cisplatin sensitization. We identified fibroblast growth factor receptor 2 (FGFR2) as an important determinant of cisplatin resistance. Pharmacological inhibition of FGFR2 confirmed the importance of this kinase in NB chemoresistance. Silencing of FGFR2 sensitized NB cells to cisplatin-induced apoptosis, which was regulated by the downregulation of the anti-apoptotic proteins BCL2 and BCLXL. Mechanistically, FGFR2 was shown to activate protein kinase C-δ to induce BCL2 expression. FGFR2, as well as the ligand fibroblast growth factor-2, were consistently expressed in primary NB and NB cell lines, indicating the presence of an autocrine loop. Expression analysis revealed that FGFR2 correlates with MYCN amplification and with advanced stage disease, demonstrating the clinical relevance of FGFR2 in NB. These findings suggest a novel role for FGFR2 in chemoresistance and provide a rational to combine pharmacological inhibitors against FGFR2 with chemotherapeutic agents for the treatment of NB.

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Benznidazole (BZ) is one of the two drugs used for Chagas disease treatment. Nevertheless therapeutic failures of BZ have been reported, which were mostly attributed to variable drug susceptibility among Trypanosoma cruzistrains. ATP-binding cassette (ABC) transporters are involved in a variety of translocation processes and some members have been implicated in drug resistance. Here we report the characterisation of the first T. cruzi ABCG transporter gene, named TcABCG1, which is over-expressed in parasite strains naturally resistant to BZ. Comparison ofTcABCG1 gene sequence of two TcI BZ-resistant strains with CL Brener BZ-susceptible strain showed several single nucleotide polymorphisms, which determined 11 amino acid changes. CL Brener transfected with TcI transporter genes showed 40-47% increased resistance to BZ, whereas no statistical significant increment in drug resistance was observed when CL Brener was transfected with the homologous gene. Only in the parasites transfected with TcI genes there was 2-2.6-fold increased abundance of TcABCG1transporter protein. The analysis in wild type strains also suggests that the level of TcABCG1transporter is related to BZ natural resistance. The characteristics of untranslated regions of TcABCG1genes of BZ-susceptible and resistant strains were investigated by computational tools.

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Na,K-ATPase is a potential target for regulatory phosphorylation by protein kinase A and C (PKA and PKC). To identify the phosphorylation sites, we have mutated the alpha 1-subunit of Bufo marinus in a highly conservative PKA and in 20 different PKC consensus sequences. The mutants were expressed in Xenopus oocytes and their phosphorylation capacity tested in homogenates upon stimulation of PKA or PKC. While serine 943 (Ser-943) was identified as a unique target site for PKA, none of the PKC consensus serine or threonine residues are implicated in PKC phosphorylation. Controlled trypsinolysis of phosphorylated alpha-subunits of various purified enzyme preparations and of alpha/beta complexes from oocyte homogenates revealed that PKC phosphorylation was exclusively associated with the N terminus. A fusion protein containing the first 32 amino acids of the Bufo alpha-subunit was phosphorylated in vitro and serine and threonine residues (Thr-15 and Ser-16) in this region were identified by site-directed mutagenesis as the PKC phosphorylation sites. Finally, the Bufo alpha-subunit was phosphorylated by protein kinases in transfected COS-7 cells. In intact cells, PKA stimulation induced phosphorylation exclusively on Ser-943 and PKC stimulation mainly on Thr-15 and Ser-16, which are contained in a novel PKC phosphorylation motif.

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Les cellules dendritiques (DCs) sont des cellules multifonctionnelles qui font le lien entre le sytème immunitaire inné et adaptatif chez les mammifères. Il existe plusieurs sous-types de DCs basés sur leurs fonctions et l'endroit où elles se situent dans le corps. Dans le cadre de cette thèse, nous avons étudié le rôle de ces cellules face à une infection parasitaire. La Leishmania est un parasite causant une maladie appelée Leishmaniose, maladie endémique de l'Afrique, de l'Asie et de certaines régions de l'Amérique du Sud. Certaines espèces causent des lésions cutanées, alors que d'autres causent des lésions dans les muqueuses ou dans les organes internes. Le système immunitaire répond en générant une réponse inflammatoire qui élimine l'infection. Lors d'une réponse non-inflammatoire (de type cytokines, chemokines), cela va amener à une persistance du parasite sur le long terme. Les DC s'activant en présence du parasite dans la peau, vont le transporter vers un ganglion. A cet endroit, se trouvent différents sous-types de DC qui ont la particularité de présenter l'antigène (spécifique à la Leishmaniose) aux lymphocytes T, ce qui va alors amener à une réponse immunitaire puissante contre le parasite. Nous avons comparé différentes espèces de Leishmaniose dans leur façon d'activer les DC et différents modèles de souris ont été utilisé dans ce but-là. Les souris du type C57BL/6 sont connues pour être résistantes à L. major et sensibles à L. mexicana, alors qu'au contraire, les souris Balb/c sont connues pour être sensibles à ces deux espèces. En utilisant des parasites fluorescents transgéniques, nous avons comparé ces deux espèces de parasites (L. major et L. mexicana) en recherchant quelles cellules elles sont capables d'infecter in-vivo dans un modèle murin. Le rôle général des DC dans une infection à L. major a déjà été décrit. Dans notre étude, nous avons étudié le besoin en DC CD8a+ dans les ganglions afin d'engendrer une réponse face à une infection à L. major. Les souris qui n'ont pas ce sous-type de DC sont beaucoup plus sensibles à l'infection : elles ont des marqueurs inflammatoires plus bas et des lésions plus grandes. Nous avons également remarqué que les DC CD8a+ jouent un rôle crucial dans une phase plus avancée de l'infection. Dans notre laboratoire, nous avons la chance d'avoir une source illimitée de DCs de sous-type CD8a+ provenant d'une souris génétiquement modifiée par nos soin. Grâce à cela, nous avons utilisé ces cellules CD8a+ pour immuniser des rats afin de produire des anticorps monoclonaux ayant des propriétés spécifiques comme l'identification de protéines uniques présentes à la surface des DC et qui ensuite, modulent une réponse immunitaire in-vivo. Nous sommes actuellement en phase de caractérisation de plus de 750 hybridomes générés dans notre laboratoire. - Les cellules dendritiques (DCs) constituent le lien entre le système inné et adaptatif de la réponse immunitaire, car elles sont capables de présenter l'antigène, de donner la co- stimulation et de relâcher des cytokines et chimokines. Au cours de cette thèse, nous avons exploré différentes familles de DC lors d'infections parasitaires, telles que la Leishmaniose, parasite intracellulaire qui infecte les mammifères. La plupart des lésions cutanées résistantes sont caractérisées par une réponse pro-inflammatoire générée par l'IL-12. A l'inverse, pour la forme non résistante, la réponse est générée par l'IL-4 et l'IL-10, dans les modèles murins vulnérables. L'infection avec Lmajor a été caractérisée chez la souris C57BL/6 (Thl) et chez la souris Balb/c (Th2). Chez la souris C57BL/6 la lésion guérit, alors que chez la souris Balb/c, la lésion est au contraire non-cicatrisante. Nous avons comparé l'activation causée dans l'ensemble des DC par différentes espéces de Leishmania, et plus spécifiquement dans les DC CD8a+ présentes dans les ganglions lymphatiques et leur rôle dans la vulnérabilité à L. major. Ces cellules sont spécialisées dans la présentation croisée d'antigènes exogènes par le CMH-I et le haut taux de production d'IL-12 après activation. En utilisant des DC dérivées de moelle osseuse, nous avons constaté que L. guyanensis V+ (transportant un retrovirus) était le plus efficace pour l'activation des DC in-vitro comparé à L. major, L. mexicana et L. guyanensis (V-). Toutefois, in-vivo, les souris infectées avec L. major ont vu la taille de leur ganglions lymphatiques drainants augmentée, 3-6 semaines après l'infection dans les deux espèces de souris (les C57BL/6 résistantes et les Balb/c sensibles). En utilisant un parasite fluorescent transgénique, nous avons trouvé que les souris C57BL/6 sensibles à Lmexicana ont un nombre plus important de cellules Β infectées et un plus petit nombre de DC dérivées des monocytes inflammatoires, comparé au souris infectées avec L. major. Les conséquences de ces observations sont encore à l'étude. Des souris déficientes en CD8ct+DC et CD103+ sont plus sensibles à L. major que les souris WT: leurs lésions sont plus grandes et la charge parasitaire est plus importante. Nous avons généré une chimère de moelles osseuse CD11-DTR et Batf3-/- en mélangeant les moelles de ces deux souris, afin de déterminer le temps après infection où le manque de DC's CD8a+ contribue le plus à l'augmentation de la vulnérabilité chez la souris KO. Ces souris produisent plus d'IgG1 et IgE, font une réponse Th2 plus forte et Thl moins forte. Nous avons constaté que les souris déficientes en DC CD8a+ au début de la réponse immunitaire adaptive (trois semaines après injection) maintiennent un haut taux de lésions de grande taille, semblable à celui des souris chez qui les cellules ont été déplétées avant l'injection. Cela indique que les DC CD8a+ sont nécessaires pour l'efficacité de l'immunité dans la phase chronique de l'infection à L. major. Parallèlement à cela, nous avons aussi commencé une génération d'anticorps monoclonaux dirigés contre les DC CD8a+ activés en utilisant des souches établies dans notre laboratoire. En partant d'une librairie de 763 hybridomes, nous avons identifié plusieurs clones dignes d'intérêt avec une capacité fonctionnelle à moduler la prolifération et la sécrétion de cytokines des cellules T, ainsi que les molécules de co-stimulation présentes à la surface des DC activées elle-même. - Dendritic cells (DCs) are the bridge between the innate and the adaptive arms of the immune systems. They are professional antigen presentation cells and have important cytokine/chemokine release functions. In this dissertation we have focussed on the study of the different subsets of DCs in parasitic infection immunity. Leishmania are intra-cellular parasites of many different species that infect mammals. Most cutaneous lesions that are self- healing are characterized with a pro-inflammatory response with IL-12 while high levels of cytokines such as IL-4 and IL-10 characterized in susceptible mouse models. In mice L. major infection has been well characterized in C57BL/6 mice (Thl) that form healing lesions while Balb/c mice (Th2) form non-healing lesions. This thesis is focussed on comparing DC activation at large by different strains of Leishmania and more specifically, dLN resident CD8a+ DCs and their role in L. major susceptibility. This subset is specialized in cross- presentation of exogenous antigens in the MHC-I pathway and produce high levels of EL-12. Using bone marrow derived DCs we found that L. guyanensis V+ (carrying a retro-virus) was the most efficient at activating DCs in-vitro. In-vivo however L. major infected mice had the largest dLNs 3-6 weeks after infection in both genetically resistant C57BL/6 and susceptible Balb/c mice. Using transgenic fluorescent parasites, we found that C57BL/6 mice which are susceptible to L. mexicana had more number of infected Β cells and fewer number of infected inflammatory monocyte derived DCs in contrast to L. major infection. Using mice deficient in CD8a+ DCs, we found that these mice were more susceptible to L. major than their WT counterparts. They made larger lesions, had higher parasite burdens, higher levels of Th2 indicating immunolgloblins as measured by higher serie IgE levels and lower CD4+ IFNy+ cells. A mixed bone marrow chimera system of CDllc-DTR and Batf3~'~ was generated to determine the time point at which the lack of CD8a+ DCs most contributes to the increased susceptibility in KO mice. We found that mice depleted of CD8a+ DCs at the advent of the adaptive response (3 weeks after infection) maintained the significantly higher lesion size similar to mice whose cells were depleted from the onset of infection. This indicates that CD8a+ DCs are required for effective immunity in the chronic phase of L. major infection. We also began the generation of a valuable tool of monoclonal antibodies against activated CD8a+ DCs using our in-house DC line. From a library of 763 hybridomas we have identified several interesting clones with a functional ability to modulate Τ cell proliferation and cytokine secretion as well as down-modulating co-stimulatory molecules on activated DC cells themselves.

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The azoles are the class of medications most commonly used to fight infections caused by Candida sp. Typically, resistance can be attributed to mutations in ERG11 gene (CYP51) which encodes the cytochrome P450 14α-demethylase, the primary target for the activity of azoles. The objective of this study was to identify mutations in the coding region of theERG11 gene in clinical isolates of Candidaspecies known to be resistant to azoles. We identified three new synonymous mutations in the ERG11 gene in the isolates of Candida glabrata (C108G, C423T and A1581G) and two new nonsynonymous mutations in the isolates of Candida krusei - A497C (Y166S) and G1570A (G524R). The functional consequence of these nonsynonymous mutations was predicted using evolutionary conservation scores. The G524R mutation did not have effect on 14α-demethylase functionality, while the Y166S mutation was found to affect the enzyme. This observation suggests a possible link between the mutation and dose-dependent sensitivity to voriconazole in the clinical isolate of C. krusei. Although the presence of the Y166S in phenotype of reduced azole sensitivity observed in isolate C. kruseidemands investigation, it might contribute to the search of new therapeutic agents against resistant Candida isolates.

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Mutations in PRPF31 are responsible for autosomal dominant retinitis pigmentosa (adRP, RP11 form) and affected families show nonpenetrance. Differential expression of the wildtype PRPF31 allele is responsible for this phenomenon: coinheritance of a mutation and a higher expressing wildtype allele provide protection against development of disease. It has been suggested that a major modulating factor lies in close proximity to the wildtype PRPF31 gene on Chromosome 19, implying that a cis-acting factor directly alters PRPF31 expression. Variable expression of CNOT3 is one determinant of PRPF31 expression. This study explored the relationship between CNOT3 (a trans-acting factor) and its paradoxical cis-acting nature in relation to RP11. Linkage analysis on Chromosome 19 was performed in mutation-carrying families, and the inheritance of the wildtype PRPF31 allele in symptomatic-asymptomatic sibships was assessed-confirming that differential inheritance of wildtype chromosome 19q13 determines the clinical phenotype (P < 2.6 × 10(-7) ). A theoretical model was constructed that explains the apparent conflict between the linkage data and the recent demonstration that a trans-acting factor (CNOT3) is a major nonpenetrance factor: we propose that this apparently cis-acting effect arises due to the intimate linkage of CNOT3 and PRPF31 on Chromosome 19q13-a novel mechanism that we have termed "linked trans-acting epistasis."

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Objectives. The goal of this study is to evaluate a T2-mapping sequence by: (i) measuring the reproducibility intra- and inter-observer variability in healthy volunteers in two separate scanning session with a T2 reference phantom; (2) measuring the mean T2 relaxation times by T2-mapping in infarcted myocardium in patients with subacute MI and compare it with patient's the gold standard X-ray coronary angiography and healthy volunteers results. Background. Myocardial edema is a consequence of an inflammation of the tissue, as seen in myocardial infarct (MI). It can be visualized by cardiovascular magnetic resonance (CMR) imaging using the T2 relaxation time. T2-mapping is a quantitative methodology that has the potential to address the limitation of the conventional T2-weighted (T2W) imaging. Methods. The T2-mapping protocol used for all MRI scans consisted in a radial gradient echo acquisition with a lung-liver navigator for free-breathing acquisition and affine image registration. Mid-basal short axis slices were acquired.T2-maps analyses: 2 observers semi- automatically segmented the left ventricle in 6 segments accordingly to the AHA standards. 8 healthy volunteers (age: 27 ± 4 years; 62.5% male) were scanned in 2 separate sessions. 17 patients (age : 61.9 ± 13.9 years; 82.4% male) with subacute STEMI (70.6%) and NSTEMI underwent a T2-mapping scanning session. Results. In healthy volunteers, the mean inter- and intra-observer variability over the entire short axis slice (segment 1 to 6) was 0.1 ms (95% confidence interval (CI): -0.4 to 0.5, p = 0.62) and 0.2 ms (95% CI: -2.8 to 3.2, p = 0.94, respectively. T2 relaxation time measurements with and without the correction of the phantom yielded an average difference of 3.0 ± 1.1 % and 3.1 ± 2.1 % (p = 0.828), respectively. In patients, the inter-observer variability in the entire short axis slice (S1-S6), was 0.3 ms (95% CI: -1.8 to 2.4, p = 0.85). Edema location as determined through the T2-mapping and the coronary artery occlusion as determined on X-ray coronary angiography correlated in 78.6%, but only in 60% in apical infarcts. All except one of the maximal T2 values in infarct patients were greater than the upper limit of the 95% confidence interval for normal myocardium. Conclusions. The T2-mapping methodology is accurate in detecting infarcted, i.e. edematous tissue in patients with subacute infarcts. This study further demonstrated that this T2-mapping technique is reproducible and robust enough to be used on a segmental basis for edema detection without the need of a phantom to yield a T2 correction factor. This new quantitative T2-mapping technique is promising and is likely to allow for serial follow-up studies in patients to improve our knowledge on infarct pathophysiology, on infarct healing, and for the assessment of novel treatment strategies for acute infarctions.

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Fasting is associated with significant changes in nutrient metabolism, many of which are governed by transcription factors that regulate the expression of rate-limiting enzymes. One factor that plays an important role in the metabolic response to fasting is the peroxisome proliferator-activated receptor alpha (PPARalpha). To gain more insight into the role of PPARalpha during fasting, and into the regulation of metabolism during fasting in general, a search for unknown PPARalpha target genes was performed. Using subtractive hybridization (SABRE) comparing liver mRNA from wild-type and PPARalpha null mice, we isolated a novel PPARalpha target gene, encoding the secreted protein FIAF (for fasting induced adipose factor), that belongs to the family of fibrinogen/angiopoietin-like proteins. FIAF is predominantly expressed in adipose tissue and is strongly up-regulated by fasting in white adipose tissue and liver. Moreover, FIAF mRNA is decreased in white adipose tissue of PPARgamma +/- mice. FIAF protein can be detected in various tissues and in blood plasma, suggesting that FIAF has an endocrine function. Its plasma abundance is increased by fasting and decreased by chronic high fat feeding. The data suggest that FIAF represents a novel endocrine signal involved in the regulation of metabolism, especially under fasting conditions.

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The system described herein represents the first example of a recommender system in digital ecosystems where agents negotiate services on behalf of small companies. The small companies compete not only with price or quality, but with a wider service-by-service composition by subcontracting with other companies. The final result of these offerings depends on negotiations at the scale of millions of small companies. This scale requires new platforms for supporting digital business ecosystems, as well as related services like open-id, trust management, monitors and recommenders. This is done in the Open Negotiation Environment (ONE), which is an open-source platform that allows agents, on behalf of small companies, to negotiate and use the ecosystem services, and enables the development of new agent technologies. The methods and tools of cyber engineering are necessary to build up Open Negotiation Environments that are stable, a basic condition for predictable business and reliable business environments. Aiming to build stable digital business ecosystems by means of improved collective intelligence, we introduce a model of negotiation style dynamics from the point of view of computational ecology. This model inspires an ecosystem monitor as well as a novel negotiation style recommender. The ecosystem monitor provides hints to the negotiation style recommender to achieve greater stability of an open negotiation environment in a digital business ecosystem. The greater stability provides the small companies with higher predictability, and therefore better business results. The negotiation style recommender is implemented with a simulated annealing algorithm at a constant temperature, and its impact is shown by applying it to a real case of an open negotiation environment populated by Italian companies

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Rare species have restricted geographic ranges, habitat specialization, and/or small population sizes. Datasets on rare species distribution usually have few observations, limited spatial accuracy and lack of valid absences; conversely they provide comprehensive views of species distributions allowing to realistically capture most of their realized environmental niche. Rare species are the most in need of predictive distribution modelling but also the most difficult to model. We refer to this contrast as the "rare species modelling paradox" and propose as a solution developing modelling approaches that deal with a sufficiently large set of predictors, ensuring that statistical models aren't overfitted. Our novel approach fulfils this condition by fitting a large number of bivariate models and averaging them with a weighted ensemble approach. We further propose that this ensemble forecasting is conducted within a hierarchic multi-scale framework. We present two ensemble models for a test species, one at regional and one at local scale, each based on the combination of 630 models. In both cases, we obtained excellent spatial projections, unusual when modelling rare species. Model results highlight, from a statistically sound approach, the effects of multiple drivers in a same modelling framework and at two distinct scales. From this added information, regional models can support accurate forecasts of range dynamics under climate change scenarios, whereas local models allow the assessment of isolated or synergistic impacts of changes in multiple predictors. This novel framework provides a baseline for adaptive conservation, management and monitoring of rare species at distinct spatial and temporal scales.

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Les écosystèmes fournissent de nombreuses ressources et services écologiques qui sont utiles à la population humaine. La biodiversité est une composante essentielle des écosystèmes et maintient de nombreux services. Afin d'assurer la permanence des services écosystémiques, des mesures doivent être prises pour conserver la biodiversité. Dans ce but, l'acquisition d'informations détaillées sur la distribution de la biodiversité dans l'espace est essentielle. Les modèles de distribution d'espèces (SDMs) sont des modèles empiriques qui mettent en lien des observations de terrain (présences ou absences d'une espèce) avec des descripteurs de l'environnement, selon des courbes de réponses statistiques qui décrive la niche réalisée des espèces. Ces modèles fournissent des projections spatiales indiquant les lieux les plus favorables pour les espèces considérées. Le principal objectif de cette thèse est de fournir des projections plus réalistes de la distribution des espèces et des communautés en montagne pour le climat présent et futur en considérant non-seulement des variables abiotiques mais aussi biotiques. Les régions de montagne et l'écosystème alpin sont très sensibles aux changements globaux et en même temps assurent de nombreux services écosystémiques. Cette thèse est séparée en trois parties : (i) fournir une meilleure compréhension du rôle des interactions biotiques dans la distribution des espèces et l'assemblage des communautés en montagne (ouest des Alpes Suisses), (ii) permettre le développement d'une nouvelle approche pour modéliser la distribution spatiale de la biodiversité, (iii) fournir des projections plus réalistes de la distribution future des espèces ainsi que de la composition des communautés. En me focalisant sur les papillons, bourdons et plantes vasculaires, j'ai détecté des interactions biotiques importantes qui lient les espèces entre elles. J'ai également identifié la signature du filtre de l'environnement sur les communautés en haute altitude confirmant l'utilité des SDMs pour reproduire ce type de processus. A partir de ces études, j'ai contribué à l'amélioration méthodologique des SDMs dans le but de prédire les communautés en incluant les interactions biotiques et également les processus non-déterministes par une approche probabiliste. Cette approche permet de prédire non-seulement la distribution d'espèces individuelles, mais également celle de communautés dans leur entier en empilant les projections (S-SDMs). Finalement, j'ai utilisé cet outil pour prédire la distribution d'espèces et de communautés dans le passé et le futur. En particulier, j'ai modélisé la migration post-glaciaire de Trollius europaeus qui est à l'origine de la structure génétique intra-spécifique chez cette espèce et évalué les risques de perte face au changement climatique. Finalement, j'ai simulé la distribution des communautés de bourdons pour le 21e siècle afin d'évaluer les changements probables dans ce groupe important de pollinisateurs. La diversité fonctionnelle des bourdons va être altérée par la perte d'espèces spécialistes de haute altitude et ceci va influencer la pollinisation des plantes en haute altitude. - Ecosystems provide a multitude of resources and ecological services, which are useful to human. Biodiversity is an essential component of those ecosystems and guarantee many services. To assure the permanence of ecosystem services for future generation, measure should be applied to conserve biodiversity. For this purpose, the acquisition of detailed information on how biodiversity implicated in ecosystem function is distributed in space is essential. Species distribution models (SDMs) are empirical models relating field observations to environmental predictors based on statistically-derived response surfaces that fit the realized niche. These models result in spatial predictions indicating locations of the most suitable environment for the species and may potentially be applied to predict composition of communities and their functional properties. The main objective of this thesis was to provide more accurate projections of species and communities distribution under current and future climate in mountains by considering not solely abiotic but also biotic drivers of species distribution. Mountain areas and alpine ecosystems are considered as particularly sensitive to global changes and are also sources of essential ecosystem services. This thesis had three main goals: (i) a better ecological understanding of biotic interactions and how they shape the distribution of species and communities, (ii) the development of a novel approach to the spatial modeling of biodiversity, that can account for biotic interactions, and (iii) ecologically more realistic projections of future species distributions, of future composition and structure of communities. Focusing on butterfly and bumblebees in interaction with the vegetation, I detected important biotic interactions for species distribution and community composition of both plant and insects along environmental gradients. I identified the signature of environmental filtering processes at high elevation confirming the suitability of SDMs for reproducing patterns of filtering. Using those case-studies, I improved SDMs by incorporating biotic interaction and accounting for non-deterministic processes and uncertainty using a probabilistic based approach. I used improved modeling to forecast the distribution of species through the past and future climate changes. SDMs hindcasting allowed a better understanding of the spatial range dynamic of Trollius europaeus in Europe at the origin of the species intra-specific genetic diversity and identified the risk of loss of this genetic diversity caused by climate change. By simulating the future distribution of all bumblebee species in the western Swiss Alps under nine climate change scenarios for the 21st century, I found that the functional diversity of this pollinator guild will be largely affected by climate change through the loss of high elevation specialists. In turn, this will have important consequences on alpine plant pollination.

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Lipoxins (LXs), are endogenously produced eicosanoids, which possess potent antiinflammatory and proresolution bioactivities. The role of LXs in the endometrium is unknown. Our initial observations showed LXA4 enhanced estrogen receptor (ER)-mediated transcriptional activation in Ishikawa endometrial epithelial cells. Furthermore, we demonstrated that LXA4 possesses robust estrogenic activity through its capacity to alter cellular proliferation as well as the expression of estrogen-regulated genes implicated in cancer development. Interestingly, LXA4 also demonstrated antiestrogenic potential in that it attenuated E2-mediated cellular proliferation, consistent with the effects of a partial ER agonist. Subsequent studies revealed that these actions of LXA4 were directly mediated by ERa and appear to closely mimic those of the potent estrogen, 17b-Estradiol (E2). Using competitive radioligand binding assays, we confirmed that this lipid binds ER. We additionally demonstrated this estrogenic activity of LXA4 in mouse uterus in vivo using a uterotrophic assay and the expression of E2- dependent genes as readouts. Taken together our results establish a dual capacity of LXA4 to modulate estrogenic activity in the endometrium. These findings highlight a previously unappreciated paradigm in LXA4-mediated activities and reveal novel immunoendocrine crosstalk mechanisms. Disclosure of interest: None declared.

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Androgenetic alopecia (AGA) is a highly heritable condition and the most common form of hair loss in humans. Susceptibility loci have been described on the X chromosome and chromosome 20, but these loci explain a minority of its heritable variance. We conducted a large-scale meta-analysis of seven genome-wide association studies for early-onset AGA in 12,806 individuals of European ancestry. While replicating the two AGA loci on the X chromosome and chromosome 20, six novel susceptibility loci reached genome-wide significance (p = 2.62×10(-9)-1.01×10(-12)). Unexpectedly, we identified a risk allele at 17q21.31 that was recently associated with Parkinson's disease (PD) at a genome-wide significant level. We then tested the association between early-onset AGA and the risk of PD in a cross-sectional analysis of 568 PD cases and 7,664 controls. Early-onset AGA cases had significantly increased odds of subsequent PD (OR = 1.28, 95% confidence interval: 1.06-1.55, p = 8.9×10(-3)). Further, the AGA susceptibility alleles at the 17q21.31 locus are on the H1 haplotype, which is under negative selection in Europeans and has been linked to decreased fertility. Combining the risk alleles of six novel and two established susceptibility loci, we created a genotype risk score and tested its association with AGA in an additional sample. Individuals in the highest risk quartile of a genotype score had an approximately six-fold increased risk of early-onset AGA [odds ratio (OR) = 5.78, p = 1.4×10(-88)]. Our results highlight unexpected associations between early-onset AGA, Parkinson's disease, and decreased fertility, providing important insights into the pathophysiology of these conditions.