55 research outputs found

    Organoids as host models for infection biology – a review of methods

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    Infectious diseases are a major threat worldwide. With the alarming rise of antimicrobial resistance and emergence of new potential pathogens, a better understanding of the infection process is urgently needed. Over the last century, the development of in vitro and in vivo models has led to remarkable contributions to the current knowledge in the field of infection biology. However, applying recent advances in organoid culture technology to research infectious diseases is now taking the field to a higher level of complexity. Here, we describe the current methods available for the study of infectious diseases using organoid cultures.We thank Rike Zietlow for editing of the manuscript. This work was supported by the European Union’s Horizon 2020 Research and Innovation program under grant agreement No. 857491 to A.S.O., M.Sa., and S.B.; BMBF grant NUM-COVID 19 Organo-Strat 01KX2021 to S.B.; and FCT, grant CEEC, to M.Sa

    De-fragmentation of space within dwellings and neighbourhoods in Al-Madinah using urban information sytems (space syntax and Arc/GIS)

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    This research addresses one of the major cumulative problems in Saudi Cities; the fragmented developments of urban lands. Such fragmentation is caused by wasteful standards and measures that are used during subdivision of land, and building control codes for residential units within plans after they are approved. Moreover, it is because of lack of application of urban information systems in neighbourhood planning. The main goal of this study is to draw up a guidance policy that defragments wasteful spaces and consequently reduces costs of both dwellings and neighbourhoods by adjusting consumption of space in regard to the socio-economic characteristics of the majority of the residents. The case study is Al-Madinah owing to it had unique form of traditional houses, and neighbourhoods known as `Ahwash'. They are the two main categories of units that form the city as a whole. At the end, the study draws a guidance technique as a recommendation for future planners to use Urban Information Systems as tools to study Neighbourhood Planning to de-fragment space within dwellings and neighbourhoods, and re-adjust building regulations with regard to their socio-economic characteristics and the local culture of Al-Madinah. The final results and proposals are a major contribution for the majority of residents who are still tenants to enable them to buy a plot and build on it, and the municipality can reduce the costs of their services among fragmented urban areas to upgrade their facilities within neighbourhoods, infrastructure agencies can reduce the cost of networks and improve the quality of their services and reduce the cost of service for public, and developers can understand the actual demands for housing not only for their own revenue by providing only luxury measures in dwellings but also to provide affordable dwellings that can be owned by residents with lower socio-economic characteristics.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    P11 promoter methylation predicts the antidepressant effect of electroconvulsive therapy

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    Although electroconvulsive therapy (ECT) is among the most effective treatment options for pharmacoresistant major depressive disorder (MDD), some patients still remain refractory to standard ECT practise. Thus, there is a need for markers reliably predicting ECT non/response. In our study, we have taken a novel translational approach for discovering potential biomarkers for the prediction of ECT response. Our hypothesis was that the promoter methylation of p11, a multifunctional protein involved in both depressive-like states and antidepressant treatment responses, is differently regulated in ECT responders vs. nonresponders and thus be a putative biomarker of ECT response. The chronic mild stress model of MDD was adapted with the aim to obtain rats that are resistant to conventional antidepressant drugs (citalopram). Subsequently, electroconvulsive stimulation (ECS) was used to select responders and nonresponders, and compare p11 expression and promoter methylation. In the rat experiments we found that the gene promoter methylation and expression of p11 significantly correlate with the antidepressant effect of ECS. Next, we investigated the predictive properties of p11 promoter methylation in two clinical cohorts of patients with pharmacoresistant MDD. In a proof-of-concept clinical trial in 11 patients with refractory MDD, higher p11 promoter methylation was found in responders to ECT. This finding was replicated in an independent sample of 65 patients with pharmacoresistant MDD. This translational study successfully validated the first biomarker reliably predicting the responsiveness to ECT. Prescreening of this biomarker could help to identify patients eligible for first-line ECT treatment and also help to develop novel antidepressant treatment procedures for depressed patients resistant to all currently approved antidepressant treatments.Peer reviewe

    SarcTrack: an adaptable software tool for efficient large-scale analysis of sarcomere function in hiPSC-cardiomyocytes

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    Rationale: Human induced pluripotent stem cell–derived cardiomyocytes (hiPSC-CMs) in combination with CRISPR/Cas9 genome editing provide unparalleled opportunities to study cardiac biology and disease. However, sarcomeres, the fundamental units of myocyte contraction, are immature and nonlinear in hiPSC-CMs, which technically challenge accurate functional interrogation of contractile parameters in beating cells. Furthermore, existing analysis methods are relatively low-throughput, indirectly assess contractility, or only assess well-aligned sarcomeres found in mature cardiac tissues. Objective: We aimed to develop an analysis platform that directly, rapidly, and automatically tracks sarcomeres in beating cardiomyocytes. The platform should assess sarcomere content, contraction and relaxation parameters, and beat rate. Methods and Results: We developed SarcTrack, a MatLab software that monitors fluorescently tagged sarcomeres in hiPSC-CMs. The algorithm determines sarcomere content, sarcomere length, and returns rates of sarcomere contraction and relaxation. By rapid measurement of hundreds of sarcomeres in each hiPSC-CM, SarcTrack provides large data sets for robust statistical analyses of multiple contractile parameters. We validated SarcTrack by analyzing drug-treated hiPSC-CMs, confirming the contractility effects of compounds that directly activate (CK-1827452) or inhibit (MYK-461) myosin molecules or indirectly alter contractility (verapamil and propranolol). SarcTrack analysis of hiPSC-CMs carrying a heterozygous truncation variant in the myosin-binding protein C (MYBPC3) gene, which causes hypertrophic cardiomyopathy, recapitulated seminal disease phenotypes including cardiac hypercontractility and diminished relaxation, abnormalities that normalized with MYK-461 treatment. Conclusions: SarcTrack provides a direct and efficient method to quantitatively assess sarcomere function. By improving existing contractility analysis methods and overcoming technical challenges associated with functional evaluation of hiPSC-CMs, SarcTrack enhances translational prospects for sarcomere-regulating therapeutics and accelerates interrogation of human cardiac genetic variants
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