25 research outputs found

    Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

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    Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene and initiate at unconventional regions, outside promoters or enhancers. Here, we probe these unassigned TSSs and show that, in all species studied, a significant fraction of CAGE peaks initiate at microsatellites, also called short tandem repeats (STRs). To confirm this transcription, we develop Cap Trap RNA-seq, a technology which combines cap trapping and long read MinION sequencing. We train sequence-based deep learning models able to predict CAGE signal at STRs with high accuracy. These models unveil the importance of STR surrounding sequences not only to distinguish STR classes, but also to predict the level of transcription initiation. Importantly, genetic variants linked to human diseases are preferentially found at STRs with high transcription initiation level, supporting the biological and clinical relevance of transcription initiation at STRs. Together, our results extend the repertoire of non-coding transcription associated with DNA tandem repeats and complexify STR polymorphism

    Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

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    Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

    Rising rural body-mass index is the main driver of the global obesity epidemic in adults

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    Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities 1,2 . This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity 3�6 . Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55 of the global rise in mean BMI from 1985 to 2017�and more than 80 in some low- and middle-income regions�was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing�and in some countries reversal�of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories. © 2019, The Author(s)

    Tools to support butterfly monitoring and analysis. Technical report

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    This report summarises the work within ABLE to contribute to the development of a unified system of validated and standardised butterfly counts from across European monitoring schemes. The primary aim is to provide the technical infrastructure to support the development of butterfly monitoring schemes within EU member states and regular reports on butterfly indicators and to enrich research on biodiversity. To achieve this objective, this report summarises work on the following activities: 1. Produce an effective database for butterfly monitoring records to ensure secure long-term data storage and provide with the capability to produce a suite of butterfly indicators; 2. Establish legal data-sharing agreements with existing monitoring schemes to clarify intellectual property rights and rights of access to data; 3. Gather data annually from existing monitoring schemes, standardise and validate counts, populate database; 4. Extend online data entry systems to allow new countries to submit data efficiently and in a standard format; 5. Develop and test a mobile application for capturing timed counts of butterflies across Europe, supporting a new protocol developed in this project; 6. Provide training for monitoring scheme volunteers and scheme co-ordinators in the use of the online data entry system and data analysis tools; 7. Provide tools, training and online resources for calculating national butterfly population trends; 8. Make BMS records and metadata available in a standard and validated format for research as appropriate

    Breakthrough candidemia after the introduction of broad spectrum antifungal agents: A 5-year retrospective study

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    Item does not contain fulltextCandidemia is the main invasive fungal disease among hospitalized patients. Several breakthrough candidemia (BrC) cases have been reported, but few studies evaluate the epidemiology, risk factors, molecular characterization, antifungal susceptibility profile and outcome of those patients, especially in developing countries and including patients using broad spectrum antifungals. We conducted a retrospective study from 2011 to 2016, including patients aged 12 years or older with candidemia. Epidemiological characteristics and risk factors for candidemia were evaluated and compared with patients with BrC using univariate and multivariate analysis. Sequential Candida isolates from BrC were identified by internal transcribed spacer sequencing, genotyped with amplified fragment length polymorphism fingerprinting (AFLP), and tested for antifungal susceptibility. From 148 candidemia episodes, 27 breakthrough episodes (18%) were identified, with neutropenia and mucositis being independent risk factors for BrC. Candida non-albicans was more frequent in the BrC group (P < .001). AFLP showed high correlation with conventional methods of identification among breakthrough isolates and a high genetic similarity among isolates from the same patient was observed. C. albicans was the most susceptible species with low MIC values for all antifungal agents tested. In contrast, we found isolates of C. glabrata, C. parapsilosis and C. tropicalis resistant to triazoles and echinocandins. In conclusion, BrC occurred mainly in severely immunosuppressed patients, with neutropenia and mucositis. Mortality did not differ between the groups. Candida non-albicans species were more recovered from BrC, with C. albicans being the most susceptible to antifungals
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