Project description:Sarcopenia refers to a progressive and generalized weakness of skeletal muscle as individuals age. Sarcopenia usually occurs after the age of 60 years and is associated with a persistent decline in muscle strength, function, and quality. A comparison of the risk factors associated with sarcopenia based on the European Working Group on Sarcopenia (1 and 2) in Older People, the Asian Working Group for Sarcopenia (1 and 2), the International Working Group on Sarcopenia, and the Foundation for the National Institutes of Health revealed no consistent patterns. Accordingly, the identification of a single risk factor for sarcopenia is unpredictable due to its "multifactorial" pathogenesis, with the involvement of a multitude of factors. Therefore, the first aim of this review was to outline and propose that the multiple factors associated with sarcopenia need to be considered in combination in the design of new experimentation in this area. A secondary aim was to highlight the biochemical risk factors that are already identified in subjects with sarcopenia to assist scientists in understanding the biology of the pathophysiological mechanisms affecting the old people with sarcopenia. We also briefly discuss primary outcomes (physical) and secondary outcomes (social and financial) of sarcopenia. For future investigative purposes, this comprehensive review may be useful in considering important risk factors in the utilization of a panel of biomarkers emanating from all pathways involved in the pathogenesis of this disease. This may help to establish a uniform consensus for screening and defining this disease. Considering the COVID-19 pandemic, its impact may be exacerbated in older populations, which requires immediate attention. Here, we briefly suggest strategies for advancing the development of smart technologies to deliver exercise in the COVID-19 era in an attempt regress the onset of sarcopenia. These strategies may also have an impact on sarcopenia's primary and secondary outcomes.
Project description:BACKGROUND: Systematic-review methodologies provide objectivity and transparency to the process of collecting and synthesizing scientific evidence in reaching conclusions on specific research questions. There is increasing interest in applying these procedures to address environmental health questions. OBJECTIVES: The goal was to develop a systematic-review framework to address environmental health questions by extending approaches developed for clinical medicine to handle the breadth of data relevant to environmental health sciences (e.g., human, animal, and mechanistic studies). METHODS: The Office of Health Assessment and Translation (OHAT) adapted guidance from authorities on systematic-review and sought advice during development of the OHAT Approach through consultation with technical experts in systematic review and human health assessments, as well as scientific advisory groups and the public. The method was refined by considering expert and public comments and through application to case studies. RESULTS AND DISCUSSION: Here we present a seven-step framework for systematic review and evidence integration for reaching hazard identification conclusions: 1) problem formulation and protocol development, 2) search for and select studies for inclusion, 3) extract data from studies, 4) assess the quality or risk of bias of individual studies, 5) rate the confidence in the body of evidence, 6) translate the confidence ratings into levels of evidence, and 7) integrate the information from different evidence streams (human, animal, and "other relevant data" including mechanistic or in vitro studies) to develop hazard identification conclusions. CONCLUSION: The principles of systematic review can be successfully applied to environmental health questions to provide greater objectivity and transparency to the process of developing conclusions.
Project description:BackgroundTransparency when documenting and assessing weight of evidence (WOE) has been an area of increasing focus for national and international health agencies.ObjectiveThe objective of this work was to conduct a critical review of WOE analysis methods as a basis for developing a practical framework for considering and assessing WOE in hazard identification in areas of application at the French Agency for Food, Environmental and Occupational Health and Safety (ANSES).MethodsBased on a review of the literature and directed requests to 63 international and national agencies, 116 relevant articles and guidance documents were selected. The WOE approaches were assessed based on three aspects: the extent of their prescriptive nature, their purpose-specific relevance, and their ease of implementation.ResultsTwenty-four approaches meeting the specified criteria were identified from selected reviewed documents. Most approaches satisfied one or two of the assessed considerations, but not all three. The approaches were grouped within a practical framework comprising the following four stages: (1) planning the assessment, including scoping, formulating the question, and developing the assessment method; (2) establishing lines of evidence (LOEs), including identifying and selecting studies, assessing their quality, and integrating with studies of similar type; (3) integrating the LOEs to evaluate WOE; and (4) presenting conclusions.DiscussionBased on the review, considerations for selecting methods for a wide range of applications are proposed. Priority areas for further development are identified. https://doi.org/10.1289/EHP3067.
Project description:The purpose of this study was to provide a more precise definition of an integrated oncogeriatric approach (IOGA) through concept analysis.The literature was reviewed from January 2005 to April 2011 integrating three broad terms: geriatric oncology, multidisciplinarity and integrated care delivery models.Citation selection was based on: (1) elderly cancer patients as the study population; (2) disease management and (3) case studies, intervention studies, assessments, evaluations and studies. Inclusion and exclusion criteria were refined in the course of the literature search.Initiatives in geriatric oncology that relate to oncology services, social support services and primary care services for elderly cancer patients.Elderly cancer patients aged 70 years old or more.Rodgers' concept analysis method was used for this study. The analysis was carried out according to thematic analysis based on the elements of the Chronic Care Model.The search identified 618 citations. After in-depth appraisal of 327 potential citations, 62 articles that met our inclusion criteria were included in the analysis. Three IOGA main attributes were identified, which constitute IOGA's core aspects: geriatric assessment (GA), comorbidity burden and treatment outcomes. The IOGA concept comprises two broad antecedents: coordinated healthcare delivery and primary supportive care services. Regarding the consequents of an integrated approach in geriatric oncology, the studies reviewed remain inconclusive.Our study highlights the pioneering character of the multidimensional IOGA concept, for which the relationship between clinical and organisational attributes, on the one hand, and contextual antecedents, on the other, is not well understood. We have yet to ascertain IOGA's consequents. IMPLICATIONS OF KEY FINDINGS: There is clearly a need for a whole-system approach to change that will provide direction for multilevel (clinical, organisational, strategic) interventions to support interdisciplinary practice, education and research.
Project description:Large-scale transcriptome and methylome data analyses obtained by high-throughput technologies have been enabling the identification of novel imprinted genes. We investigated genome-wide DNA methylation patterns in multiple human tissues, using a high-resolution microarray to uncover hemimethylated CpGs located in promoters overlapping CpG islands, aiming to identify novel candidate imprinted genes. Using our approach, we recovered ~30% of the known human imprinted genes, further 168 candidates were identified, 61 of which with at least three hemimethylated CpGs shared by more than two tissue types. Thirty-four of these candidate genes are members of the protocadherins cluster on 5q31.3; in mice, protocadherin genes have non-imprinted monoallelic randomic expression, which might be the case in humans. Among the remaining 27 genes, ZNF331 was recently validated as an imprinted gene, and six of them have been reported as candidates, supporting our prediction. Five candidates (CCDC166, ARC, PLEC, TONSL and VPS28) map to 8q24.3, and might constitute a novel imprinted cluster. Additionally, we performed a comprehensive compilation of known human and mice imprinted genes from literature and databases, and a comparison among high-throughput imprinting studies in humans. The screening for hemimethylated CpGs shared by multiple human tissues, together with the extensive review, appears as a useful approach to reveal candidate imprinted genes.
Project description:We live in an increasingly data-driven world, where high-throughput sequencing and mass spectrometry platforms are transforming biology into an information science. This has shifted major challenges in biological research from data generation and processing to interpretation and knowledge translation. However, postsecondary training in bioinformatics, or more generally data science for life scientists, lags behind current demand. In particular, development of accessible, undergraduate data science curricula has the potential to improve research and learning outcomes as well as better prepare students in the life sciences to thrive in public and private sector careers. Here, we describe the Experiential Data science for Undergraduate Cross-Disciplinary Education (EDUCE) initiative, which aims to progressively build data science competency across several years of integrated practice. Through EDUCE, students complete data science modules integrated into required and elective courses augmented with coordinated cocurricular activities. The EDUCE initiative draws on a community of practice consisting of teaching assistants (TAs), postdocs, instructors, and research faculty from multiple disciplines to overcome several reported barriers to data science for life scientists, including instructor capacity, student prior knowledge, and relevance to discipline-specific problems. Preliminary survey results indicate that even a single module improves student self-reported interest and/or experience in bioinformatics and computer science. Thus, EDUCE provides a flexible and extensible active learning framework for integration of data science curriculum into undergraduate courses and programs across the life sciences.
Project description:This review article examines how social science literature co-produces various imaginaries of forest-based bioeconomy transformations and pathways for reaching desired ends. Based on an analysis of 59 research articles, we find that despite a growing number of social sciences studies on the forest-based bioeconomy, much of the research tends to replicate a bioeconomy imaginary articulated in EU and national bioeconomy policies and strategies. Accordingly, the research primarily reproduces a weak approach to sustainability, which prioritize economic growth and competitiveness. Expectations are largely directed at national and regional corporate interests and forest industrial renewal, while the state has a supportive rather than restricting role. We discuss the findings against the role of social sciences, and conclude that social science scholars may adopt various strategies if interested in opening up forest-based policy debates and offer alternative imaginaries of sustainable bioeconomy transformations.
Project description:To improve health outcomes in people living with HIV, adoption of evidence-based interventions (EBIs) using effective and transferable implementation strategies to optimise the delivery of healthcare is needed. ViiV Healthcare's Positive Pathways initiative was established to support the UNAIDS 90-90-90 goals. A compendium of EBIs was developed to address gaps within the HIV care continuum, yet it was unknown whether efforts existed to adapt and implement these EBIs across diverse clinical contexts. Therefore, this review sought to report on the use of implementation science in adapting HIV continuum of care EBIs. A systematic literature review was undertaken to summarise the evaluation of implementation and effectiveness outcomes, and report on the use of implementation science in HIV care. Ten databases were reviewed to identify studies (time-period: 2013-2018; geographic scope: United States, United Kingdom, France, Germany, Italy, Spain, Canada, Australia and Europe; English only publications). Studies were included if they reported on people living with HIV or those at risk of acquiring HIV and used interventions consistent with the EBIs. A broad range of study designs and methods were searched, including hybrid designs. Overall, 118 publications covering 225 interventions consistent with the EBIs were identified. These interventions were evaluated on implementation (N = 183), effectiveness (N = 81), or both outcomes (N = 39). High variability in the methodological approaches was observed. Implementation outcomes were frequently evaluated but use of theoretical frameworks was limited (N = 13). Evaluations undertaken to assess effectiveness were inconsistent, resulting in a range of measures. This review revealed extensive reporting on implementation science as defined using evaluation outcomes. However, high variability was observed in how implementation outcomes and effectiveness were defined, quantified, and reported. A more specific and consistent approach to conducting and reporting on implementation science in HIV could facilitate achievement of UNAIDS 90-90-90 targets.
Project description:ObjectiveThe purpose of this research is to identify how data science is applied in suicide prevention literature, describe the current landscape of this literature and highlight areas where data science may be useful for future injury prevention research.DesignWe conducted a literature review of injury prevention and data science in April 2020 and January 2021 in three databases.MethodsFor the included 99 articles, we extracted the following: (1) author(s) and year; (2) title; (3) study approach (4) reason for applying data science method; (5) data science method type; (6) study description; (7) data source and (8) focus on a disproportionately affected population.ResultsResults showed the literature on data science and suicide more than doubled from 2019 to 2020, with articles with individual-level approaches more prevalent than population-level approaches. Most population-level articles applied data science methods to describe (n=10) outcomes, while most individual-level articles identified risk factors (n=27). Machine learning was the most common data science method applied in the studies (n=48). A wide array of data sources was used for suicide research, with most articles (n=45) using social media and web-based behaviour data. Eleven studies demonstrated the value of applying data science to suicide prevention literature for disproportionately affected groups.ConclusionData science techniques proved to be effective tools in describing suicidal thoughts or behaviour, identifying individual risk factors and predicting outcomes. Future research should focus on identifying how data science can be applied in other injury-related topics.
Project description:Bullous pemphigoid (BP) is a rare, life-threatening autoimmune blistering disease with pruritus and tension blisters/bullous as the main clinical manifestations. Glucocorticosteroids are the main therapeutic agents for it, but their efficacy is poor in some patients. Tofacitinib, a small molecule agent that inhibits JAK1/3, has shown incredible efficacy in a wide range of autoimmune diseases and maybe a new valuable treatment option for refractory BP. To report a case of refractory BP successfully treated with tofacitinib, then explore the underlying mechanism behind the treatment, and finally review similarities to other cases reported in the literature. Case report and literature review of published cases of successful BP treatment with JAK inhibitors. The case report describes a 73-year-old male with refractory BP that was successfully managed with the combination therapy of tofacitinib and low-dose glucocorticoids for 28 weeks. Immunohistochemistry and RNA sequencing were performed to analyze the underlying mechanism of tofacitinib therapy. A systematic literature search was conducted to identify other cases of treatment with JAK inhibitors. Throughout the 28-week treatment period, the patient experienced clinical, autoantibody and histologic resolution. Immunohistochemical analysis showed tofacitinib significantly decreased the pSTAT3 and pSTAT6 levels in the skin lesions of this patient. RNA sequencing and immunohistochemical testing of lesion samples from other BP patients identified activation of the JAK-STAT signaling pathway. Literature review revealed 17 previously reported cases of BP treated with four kinds of JAK inhibitors successfully, including tofacitinib (10), baricitinib (1), upadacitinib (3) and abrocitinib (3). Our findings support the potential of tofacitinib as a safe and effective treatment option for BP. Larger studies are underway to better understand this efficacy and safety.