99 research outputs found

    Driving improvements in emerging disease surveillance through locally-relevant capacity strengthening

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    Emerging infectious diseases (EIDs) threaten the health of people, animals, and crops globally, but our ability to predict their occurrence is limited. Current public health capacity and ability to detect and respond to EIDs is typically weakest in low- and middle-income countries (LMICs). Many known drivers of EID emergence also converge in LMICs. Strengthening capacity for surveillance of diseases of relevance to local populations can provide a mechanism for building the cross-cutting and flexible capacities needed to tackle both the burden of existing diseases and EID threats. A focus on locally relevant diseases in LMICs and the economic, social, and cultural contexts of surveillance can help address existing inequalities in health systems, improve the capacity to detect and contain EIDs, and contribute to broader global goals for development

    Phenotypic and functional analyses show stem cell-derived hepatocyte-like cells better mimic fetal rather than adult hepatocytes

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    Background & Aims: Hepatocyte-like cells (HLCs), differentiated from pluripotent stem cells by the use of soluble factors, can model human liver function and toxicity. However, at present HLC maturity and whether any deficit represents a true fetal state or aberrant differentiation is unclear and compounded by comparison to potentially deteriorated adult hepatocytes. Therefore, we generated HLCs from multiple lineages, using two different protocols, for direct comparison with fresh fetal and adult hepatocytes. Methods: Protocols were developed for robust differentiation. Multiple transcript, protein and functional analyses compared HLCs to fresh human fetal and adult hepatocytes. Results: HLCs were comparable to those of other laboratories by multiple parameters. Transcriptional changes during differentiation mimicked human embryogenesis and showed more similarity to pericentral than periportal hepatocytes. Unbiased proteomics demonstrated greater proximity to liver than 30 other human organs or tissues. However, by comparison to fresh material, HLC maturity was proven by transcript, protein and function to be fetal-like and short of the adult phenotype. The expression of 81% phase 1 enzymes in HLCs was significantly upregulated and half were statistically not different from fetal hepatocytes. HLCs secreted albumin and metabolized testosterone (CYP3A) and dextrorphan (CYP2D6) like fetal hepatocytes. In seven bespoke tests, devised by principal components analysis to distinguish fetal from adult hepatocytes, HLCs from two different source laboratories consistently demonstrated fetal characteristics. Conclusions: HLCs from different sources are broadly comparable with unbiased proteomic evidence for faithful differentiation down the liver lineage. This current phenotype mimics human fetal rather than adult hepatocytes

    Overcoming barriers in HPV vaccination and screening programs

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    The Human Papillomavirus Prevention and Control Board brought together experts to discuss optimizing HPV vaccination and screening programs. Board members reviewed the safety profile of licensed HPV vaccines based on clinical and post-marketing data, reaching a consensus that current safety data is reassuring. Successful vaccination programs used well-coordinated communication campaigns, integrating (social) media to spread awareness. Communication of evidence supporting vaccine effectiveness had beneficial effects on the perception of the vaccine. However, anti-vaccination campaigns have threatened existing programs in many countries. Measurement and monitoring of HPV vaccine confidence over time could help understand the nature and scale of waning confidence, define issues and intervene appropriately using context-specific evidence-based strategies. Finally, a broad group of stakeholders, such as teachers, health care providers and the media should also be provided with accurate information and training to help support prevention efforts through enhanced understanding of the risks and benefits of vaccination. Similarly, while cervical cancer screening through population-based programs is highly effective, barriers to screening exist: awareness in countries with population-based screening programs, access for vulnerable populations, and access and affordability in low-and middle-income countries. Integration of primary and secondary prevention has the potential to accelerate the decrease in cervical cancer incidence

    Using a machine learning model to risk stratify for the presence of significant liver disease in a primary care population

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    Background: Current strategies for detecting significant chronic liver disease (CLD) in the community are based on the extrapolation of diagnostic tests used in secondary care settings. Whilst this approach provides clinical utility, it has limitations related to diagnostic accuracy being predicated on disease prevalence and spectrum bias, which will differ in the community. Machine learning (ML) techniques provide a novel way of identifying significant variables without preconceived bias. As a proof-of-concept study, we wanted to examine the performance of nine different ML models based on both risk factors and abnormal liver enzyme tests in a large community cohort.Methods: Routine demographic and laboratory data was collected on 1,453 patients with risk factors for CLD, including high alcohol consumption, diabetes and obesity, in a community setting in Nottingham (UK) as part of the Scarred Liver project. A total of 87 variables were extracted. Transient elastography (TE) was used to define clinically significant liver fibrosis. The data was split into a training and hold out set. The median age of the cohort was 59, mean body mass index (BMI) 29.7 kg/m2, median TE 5.5 kPa, 49.2% had type 2 diabetes and 20.3% had a TE >8 kPa.Results: The nine different ML models, which included Random Forrest classifier, Support Vector classification and Gradient Boosting classifier, had a range of area under the curve (AUC) statistics of 0.5 to 0.75. Ensemble Stacker model showed the best performance, and this was replicated in the testing dataset (AUC 0.72). Recursive feature elimination found eight variables had a significant impact on model output. The model had superior sensitivity (74%) compared to specificity (60%).Conclusions: ML shows encouraging performance and highlights variables that may have bespoke value for diagnosing community liver disease. Optimising how ML algorithms are integrated into clinical pathways of care and exploring new biomarkers will further enhance diagnostic utility

    The role of healthcare providers in HPV vaccination programs - A meeting report

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    The Human Papillomavirus (HPV) Prevention and Control Board convened a meeting in Bucharest, Romania (May 2018), to discuss the role of healthcare providers (HCPs) in prevention programs, with a focus on HPV vaccination and cervical cancer screening. International and local experts discussed the role that HCPs can play to increase the uptake of HPV vaccine and screening. Experts recommended: 1) increasing HCP norms of getting vaccinated; 2) training providers to make effective recommendations; 3) making culturally appropriate materials available, in local languages; and 4) centralizing and coordinating education and information material, to direct both HCPs and the general public to the best material available

    Telehealth cancer-related fatigue clinic model for cancer survivors: A pilot randomised controlled trial protocol (the T-CRF trial)

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    INTRODUCTION: Cancer-related fatigue (CRF) is one of the most common and debilitating adverse effects of cancer and its treatment reported by cancer survivors. Physical activity, psychological interventions and management of concurrent symptoms have been shown to be effective in alleviating CRF. This pilot randomised controlled trial (RCT) will determine the feasibility of a telehealth CRF clinic intervention (T-CRF) to implement evidence-based strategies and assess the impact of the intervention on CRF and other clinical factors in comparison to usual care. METHODS AND ANALYSIS: A parallel-arm (intervention vs usual care) pilot RCT will be conducted at the Princess Alexandra Hospital in Queensland, Australia. Sixty cancer survivors aged 18 years and over, who report moderate or severe fatigue on the Brief Fatigue Inventory and meet other study criteria will be recruited. Participants will be randomised (1:1) to receive the T-CRF intervention or usual care (ie, specialist-led care, with a fatigue information booklet). The intervention is a 24-week programme of three telehealth nurse-led consultations and a personalised CRF management plan. The primary objective of this pilot RCT is to determine intervention feasibility, with a secondary objective to determine preliminary clinical efficacy. Feasibility outcomes include the identification of recruitment methods; recruitment rate and uptake; attrition; adherence; fidelity; apathy; and intervention functionality, acceptability and satisfaction. Clinical and resource use outcomes include cancer survivor fatigue, symptom burden, level of physical activity, productivity loss, hospital resource utilisation and carer\u27s fatigue and productivity loss. Descriptive statistics will be used to report on feasibility and process-related elements additional to clinical and resource outcomes. ETHICS AND DISSEMINATION: This trial is prospectively registered (ACTRN12620001334998). The study protocol has been approved by the Metro South Health and Hospital Services Human Research Ethics Committee (MSHHS HREC/2020/QMS/63495). Findings will be disseminated through peer-reviewed publications, national and international conferences and seminars or workshops. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry ID: ACTRN12620001334998; Pre-results. Trial Version: Version 1.1. Last updated 10 December 2020

    Feasibility and preliminary efficacy of iConquerFear: a self-guided digital intervention for fear of cancer recurrence

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    Purpose: Approximately 50% of cancer survivors experience moderate-severe fear of cancer recurrence (FCR). Self-guided digital interventions have potential to address the high level of FCR-related unmet needs at scale, but existing digital interventions have demonstrated variable engagement and efficacy. This study aimed to evaluate the feasibility and preliminary efficacy of iConquerFear, a five-module self-guided digital FCR intervention. Methods: Eligible curatively treated breast cancer survivors were recruited. Participants reporting clinically significant FCR

    Induction of fibroblast senescence generates a non-fibrogenic myofibroblast phenotype that differentially impacts on cancer prognosis

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    Cancer-associated fibroblasts (CAF) remain a poorly characterized, heterogeneous cell population. Here we characterized two previously described tumor-promoting CAF sub-types, smooth muscle actin (SMA)-positive myofibroblasts and senescent fibroblasts, identifying a novel link between the two. Analysis of CAF cultured ex vivo, showed that senescent CAF are predominantly SMA-positive; this was confirmed by immunochemistry in head & neck (HNSCC) and esophageal (EAC) cancers. In vitro, we found that fibroblasts induced to senesce develop molecular, ultrastructural and contractile features typical of myofibroblasts and this is dependent on canonical TGF-? signaling. Similar to TGF-?1-generated myofibroblasts, these cells secrete soluble factors that promote tumor cell motility. However, RNA-sequencing revealed significant transcriptomic differences between the two SMA-positive CAF groups, particularly in genes associated with extracellular matrix (ECM) deposition and organization, which differentially promote tumor cell invasion. Notably, second harmonic generation imaging and bioinformatic analysis of SMA-positive human HNSCC and EAC showed that collagen fiber organization correlates with poor prognosis, indicating that heterogeneity within the SMA-positive CAF population differentially impacts on survival. These results show that non-fibrogenic, SMA-positive myofibroblasts can be directly generated through induction of fibroblast senescence and suggest that senescence and myofibroblast differentiation are closely linked processes

    Childhood Predictors of Adult Functional Outcomes in the Multimodal Treatment Study of Attention-Deficit/Hyperactivity Disorder (MTA)

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    ObjectiveRecent results from the Multimodal Treatment Study of Attention-Deficit/Hyperactivity Disorder (ADHD; MTA) have demonstrated impairments in several functioning domains in adults with childhood ADHD. The childhood predictors of these adult functional outcomes are not adequately understood. The objective of the present study was to determine the effects of childhood demographic, clinical, and family factors on adult functional outcomes in individuals with and without childhood ADHD from the MTA cohort.MethodRegressions were used to determine associations of childhood factors (age range 7-10 years) of family income, IQ, comorbidity (internalizing, externalizing, and total number of non-ADHD diagnoses), parenting styles, parental education, number of household members, parental marital problems, parent-child relationships, and ADHD symptom severity with adult outcomes (mean age 25 years) of occupational functioning, educational attainment, emotional functioning, sexual behavior, and justice involvement in participants with (n = 579) and without (n = 258) ADHD.ResultsPredictors of adult functional outcomes in ADHD included clinical factors such as baseline ADHD severity, IQ, and comorbidity; demographic factors such as family income, number of household members and parental education; and family factors such as parental monitoring and parental marital problems. Predictors of adult outcomes were generally comparable for children with and without ADHD.ConclusionChildhood ADHD symptoms, IQ, and household income levels are important predictors of adult functional outcomes. Management of these areas early on, through timely treatments for ADHD symptoms, and providing additional support to children with lower IQ and from households with low incomes, could assist in improving adult functioning
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