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NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment.

ABSTRACT: Nanotechnology has enabled the discovery of a multitude of novel materials exhibiting unique physicochemical (PChem) properties compared to their bulk analogues. These properties have led to a rapidly increasing range of commercial applications; this, however, may come at a cost, if an association to long-term health and environmental risks is discovered or even just perceived. Many nanomaterials (NMs) have not yet had their potential adverse biological effects fully assessed, due to costs and time constraints associated with the experimental assessment, frequently involving animals. Here, the available NM libraries are analyzed for their suitability for integration with novel nanoinformatics approaches and for the development of NM specific Integrated Approaches to Testing and Assessment (IATA) for human and environmental risk assessment, all within the NanoSolveIT cloud-platform. These established and well-characterized NM libraries (e.g. NanoMILE, NanoSolutions, NANoREG, NanoFASE, caLIBRAte, NanoTEST and the Nanomaterial Registry (>2000 NMs)) contain physicochemical characterization data as well as data for several relevant biological endpoints, assessed in part using harmonized Organisation for Economic Co-operation and Development (OECD) methods and test guidelines. Integration of such extensive NM information sources with the latest nanoinformatics methods will allow NanoSolveIT to model the relationships between NM structure (morphology), properties and their adverse effects and to predict the effects of other NMs for which less data is available. The project specifically addresses the needs of regulatory agencies and industry to effectively and rapidly evaluate the exposure, NM hazard and risk from nanomaterials and nano-enabled products, enabling implementation of computational 'safe-by-design' approaches to facilitate NM commercialization.

SUBMITTER: Afantitis A

PROVIDER: S-EPMC7090366 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for <i>in silico</i> nanosafety assessment.

Afantitis Antreas A Melagraki Georgia G Isigonis Panagiotis P Tsoumanis Andreas A Varsou Dimitra Danai DD Valsami-Jones Eugenia E Papadiamantis Anastasios A Ellis Laura-Jayne A LA Sarimveis Haralambos H Doganis Philip P Karatzas Pantelis P Tsiros Periklis P Liampa Irene I Lobaskin Vladimir V Greco Dario D Serra Angela A Kinaret Pia Anneli Sofia PAS Saarimäki Laura Aliisa LA Grafström Roland R Kohonen Pekka P Nymark Penny P Willighagen Egon E Puzyn Tomasz T Rybinska-Fryca Anna A Lyubartsev Alexander A Alstrup Jensen Keld K Brandenburg Jan Gerit JG Lofts Stephen S Svendsen Claus C Harrison Samuel S Maier Dieter D Tamm Kaido K Jänes Jaak J Sikk Lauri L Dusinska Maria M Longhin Eleonora E Rundén-Pran Elise E Mariussen Espen E El Yamani Naouale N Unger Wolfgang W Radnik Jörg J Tropsha Alexander A Cohen Yoram Y Leszczynski Jerzy J Ogilvie Hendren Christine C Wiesner Mark M Winkler David D Suzuki Noriyuki N Yoon Tae Hyun TH Choi Jang-Sik JS Sanabria Natasha N Gulumian Mary M Lynch Iseult I

Computational and structural biotechnology journal 20200307

Nanotechnology has enabled the discovery of a multitude of novel materials exhibiting unique physicochemical (PChem) properties compared to their bulk analogues. These properties have led to a rapidly increasing range of commercial applications; this, however, may come at a cost, if an association to long-term health and environmental risks is discovered or even just perceived. Many nanomaterials (NMs) have not yet had their potential adverse biological effects fully assessed, due to costs and t ...[more]

PMID: 32226594

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Project description:IntroductionAmid the rising number of people with non-communicable diseases (NCDs), Kenya has invested in strengthening primary care and in efforts to expand existing service delivery platforms to integrate NCD care. One such approach is the AMPATH (Academic Model Providing Access to Healthcare) model in western Kenya, which provides the platform for the Primary Health Integrated Care Project for Chronic Conditions (PIC4C), launched in 2018 to further strengthen primary care services for the prevention and control of hypertension, diabetes, breast and cervical cancer. This study seeks to understand how well PIC4C delivers on its intended aims and to inform and support scale up of the PIC4C model for integrated care for people with NCDs in Kenya.Methods and analysisThe study is guided by a conceptual framework on implementing, sustaining and spreading innovation in health service delivery. We use a multimethod design combining qualitative and quantitative approaches, involving: (1) in-depth interviews with health workers and decision-makers to explore experiences of delivering PIC4C; (2) a cross-sectional survey of patients with diabetes or hypertension and in-depth interviews to understand how well PIC4C meets patients' needs; (3) a cohort study with an interrupted time series analysis to evaluate the degree to which PIC4C leads to health benefits such as improved management of hypertension or diabetes; and (4) a cohort study of households to examine the extent to which the national hospital insurance chronic care package provides financial risk protection to people with hypertension or diabetes within PIC4C.Ethics and disseminationThe study has received approvals from Moi University Institutional Research and Ethics Committee (FAN:0003586) and the London School of Hygiene & Tropical Medicine (17940). Workshops with key stakeholders at local, county, national and international levels will ensure early and wide dissemination of our findings to inform scale up of this model of care. We will also publish findings in peer-reviewed journals.

Project description:ObjectivesResearch is key to achieving global development goals. Our objectives were to develop and test an evidence-informed process for assessing health research management and support systems (RMSS) in four African universities and for tracking interventions to address capacity gaps.SettingFour African universities.Participants83 university staff and students from 11 cadres.Intervention/methodsA literature-informed 'benchmark' was developed and used to itemise all components of a university's health RMSS. Data on all components were collected during site visits to four African universities using interview guides, document reviews and facilities observation guides. Gaps in RMSS capacity were identified against the benchmark and institutional action plans developed to remedy gaps. Progress against indicators was tracked over 15 months and common challenges and successes identified.ResultsCommon gaps in operational health research capacity included no accessible research strategy, a lack of research e-tracking capability and inadequate quality checks for proposal submissions and contracts. Feedback indicated that the capacity assessment was comprehensive and generated practical actions, several of which were no-cost. Regular follow-up helped to maintain focus on activities to strengthen health research capacity in the face of challenges.ConclusionsIdentification of each institutions' strengths and weaknesses against an evidence-informed benchmark enabled them to identify gaps in in their operational health research systems, to develop prioritised action plans, to justify resource requests to fulfil the plans and to track progress in strengthening RMSS. Use of a standard benchmark, approach and tools enabled comparisons across institutions which has accelerated production of evidence about the science of research capacity strengthening. The tools could be used by institutions seeking to understand their strengths and to address gaps in research capacity. Research capacity gaps that were common to several institutions could be a 'smart' investment for governments and health research funders.

Dataset Information

NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment.

Publications

NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for <i>in silico</i> nanosafety assessment.

Similar Datasets

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