7 research outputs found

    Identification of Potent Natural Inhibitor Against Papain Like Protease of SARS CoV 2 an in Silico Approach

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    One of the most complicated tasks the healthcare system has faced in recent years has been the development of a curative treatment to stop the progression of the SARS CoV-2 virus. No consensus has been reached on a medical cure to slow the virus spread. From this point of view, investigating existing drugs such as SARS-CoV-2 inhibitors is an appropriate technique. With critical involvement in viral replication and host-immune suppression, Papain-like protease (PL-pro) is recognized as a key enzyme target for drug development among other SARS-CoV-2 druggable targets. Phytolignans have a wide range of physiological effects, making them an appealing drug for antiviral study. We used an insilico method to target SARS CoV-2 PL-pro with phytolignans in our investigation. The chemical structures of phytolignans were obtained from PubChem, whereas the protease structure 6WX4was obtained from the Protein Data Bank website. The PyRx software was used for molecular docking.Of all the phytolignans examined, Sesamolin has the greatest binding affinity of -8.4 kcal/mol towards PL-pro.The docking results revealed that phytolignans are potent inhibitors of the SARS-CoV-2 papain-like protease and that they may be verified further in vitro and in vivo. Our findings suggest that Sesamolin might be used as a medication to block the action of SARS CoV-2 PL-pro

    CSM Perceptions of Concussion

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    In this project, we conducted an online survey with a modified version of the Illness Perception Questionnaire, and use the common-sense model of health behavior regulation, to describe students’ beliefs about concussion. We assess students’ endorsement of specific traditionally masculine values, stigmatizing attitudes toward persons with concussions, self-reported history of concussion, indirect exposure to concussion, and willingness to seek treatment for a possible future concussion

    Protocol for process evaluation of SMART Mental Health cluster randomised control trial:an intervention for management of common mental disorders in India

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    INTRODUCTION: In India about 95% of individuals who need treatment for common mental disorders like depression, stress and anxiety and substance use are unable to access care. Stigma associated with help seeking and lack of trained mental health professionals are important barriers in accessing mental healthcare. Systematic Medical Appraisal, Referral and Treatment (SMART) Mental Health integrates a community-level stigma reduction campaign and task sharing with the help of a mobile-enabled electronic decision support system (EDSS)—to reduce psychiatric morbidity due to stress, depression and self-harm in high-risk individuals. This paper presents and discusses the protocol for process evaluation of SMART Mental Health. METHODS AND ANALYSIS: The process evaluation will use mixed quantitative and qualitative methods to evaluate implementation fidelity and identify facilitators of and barriers to implementation of the intervention. Case studies of six intervention and two control clusters will be used. Quantitative data sources will include usage analytics extracted from the mHealth platform for the trial. Qualitative data sources will include focus group discussions and interviews with recruited participants, primary health centre doctors, community health workers (Accredited Social Health Activits) who participated in the project and local community leaders. The design and analysis will be guided by Medical Research Council framework for process evaluations, the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework, and the normalisation process theory. ETHICS AND DISSEMINATION: The study has been approved by the ethics committee of the George Institute for Global Health, India and the Institutional Ethics Committee, All India Institute of Medical Sciences (AIIMS), New Delhi. Findings of the study will be disseminated through peer-reviewed publications, stakeholder meetings, digital and social media platforms. TRIAL REGISTRATION NUMBER: CTRI/2018/08/015355

    An integrated community and primary healthcare worker intervention to reduce stigma and improve management of common mental disorders in rural India:protocol for the SMART Mental Health programme

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    Background: Around 1 in 7 people in India are impacted by mental illness. The treatment gap for people with mental disorders is as high as 75–95%. Health care systems, especially in rural regions in India, face substantial challenges to address these gaps in care, and innovative strategies are needed. Methods: We hypothesise that an intervention involving an anti-stigma campaign and a mobile-technology-based electronic decision support system will result in reduced stigma and improved mental health for adults at high risk of common mental disorders. It will be implemented as a parallel-group cluster randomised, controlled trial in 44 primary health centre clusters servicing 133 villages in rural Andhra Pradesh and Haryana. Adults aged ≥ 18 years will be screened for depression, anxiety and suicide based on Patient Health Questionnaire (PHQ-9) and Generalised Anxiety Disorders (GAD-7) scores. Two evaluation cohorts will be derived—a high-risk cohort with elevated PHQ-9, GAD-7 or suicide risk and a non-high-risk cohort comprising an equal number of people not at elevated risk based on these scores. Outcome analyses will be conducted blinded to intervention allocation. Expected outcomes: The primary study outcome is the difference in mean behaviour scores at 12 months in the combined ‘high-risk’ and ‘non-high-risk’ cohort and the mean difference in PHQ-9 scores at 12 months in the ‘high-risk’ cohort. Secondary outcomes include depression and anxiety remission rates in the high-risk cohort at 6 and 12 months, the proportion of high-risk individuals who have visited a doctor at least once in the previous 12 months, and change from baseline in mean stigma, mental health knowledge and attitude scores in the combined non-high-risk and high-risk cohort. Trial outcomes will be accompanied by detailed economic and process evaluations. Significance: The findings are likely to inform policy on a low-cost scalable solution to destigmatise common mental disorders and reduce the treatment gap for under-served populations in low-and middle-income country settings. Trial registration: Clinical Trial Registry India CTRI/2018/08/015355. Registered on 16 August 2018

    Cardiovascular, respiratory, and related disorders: key messages from disease control priorities

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    Summary Cardiovascular, respiratory, and related disorders (CVRDs) are the leading causes of adult death worldwide, and substantial inequalities in care of patients with CVRDs exist between countries of high income and countries of low and middle income. Based on current trends, the UN Sustainable Development Goal to reduce premature mortality due to CVRDs by a third by 2030 will be challenging for many countries of low and middle income. We did systematic literature reviews of effectiveness and cost-effectiveness to identify priority interventions. We summarise the key findings and present a costed essential package of interventions to reduce risk of and manage CVRDs. On a population level, we recommend tobacco taxation, bans on trans fats, and compulsory reduction of salt in manufactured food products. We suggest primary health services be strengthened through the establishment of locally endorsed guidelines and ensured availability of essential medications. The policy interventions and health service delivery package we suggest could serve as the cornerstone for the management of CVRDs, and afford substantial financial risk protection for vulnerable households. We estimate that full implementation of the essential package would cost an additional US21perpersonintheaveragelow−incomecountryand21 per person in the average low-income country and 24 in the average lower-middle-income country. The essential package we describe could be a starting place for low-income and middle-income countries developing universal health coverage packages. Interventions could be rolled out as disease burden demands and budgets allow. Our outlined interventions provide a pathway for countries attempting to convert the UN Sustainable Development Goal commitments into tangible action

    Tuberculosis: integrated studies for a complex disease 2050

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    Tuberculosis (TB) has been a disease for centuries with various challenges [1]. Like other places where challenges and opportunities come together, TB challenges were the inspiration for the scientific community to mobilize different groups for the purpose of interest. For example, with the emergence of drug resistance, there has been a huge volume of research on the discovery of new medicines and drug delivery methods and the repurposing of old drugs [2, 3]. Moreover, to enhance the capacity to detect TB cases, studies have sought diagnostics and biomarkers, with much hope recently expressed in the direction of point-of-care tests [4]. Despite all such efforts as being highlighted in 50 Chapters of this volume, we are still writing about TB and thinking about how to fight this old disease–implying that the problem of TB might be complex, so calling the need for an integrated science to deal with multiple dimensions in a simultaneous and effective manner. We are not the first one; there have been proposed integrated platform for TB research, integrated prevention services, integrated models for drug screening, integrated imaging protocol, integrated understanding of the disease pathogenesis, integrated control models, integrated mapping of the genome of the pathogen, etc. [5–12], to name some. These integrated jobs date back decades ago. So, a question arises: why is there a disease named TB yet? It might be due to the fact that this integration has happened to a scale that is not global, and so TB remains to be a problem, especially in resource-limited settings. Hope Tuberculosis: Integrated Studies for a Complex Disease helps to globalize the integrated science of TB.info:eu-repo/semantics/publishedVersio
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