Dataset Information

ARDD 2020: from aging mechanisms to interventions.

ABSTRACT: Aging is emerging as a druggable target with growing interest from academia, industry and investors. New technologies such as artificial intelligence and advanced screening techniques, as well as a strong influence from the industry sector may lead to novel discoveries to treat age-related diseases. The present review summarizes presentations from the 7^th Annual Aging Research and Drug Discovery (ARDD) meeting, held online on the 1^st to 4^th of September 2020. The meeting covered topics related to new methodologies to study aging, knowledge about basic mechanisms of longevity, latest interventional strategies to target the aging process as well as discussions about the impact of aging research on society and economy. More than 2000 participants and 65 speakers joined the meeting and we already look forward to an even larger meeting next year. Please mark your calendars for the 8^th ARDD meeting that is scheduled for the 31^st of August to 3^rd of September, 2021, at Columbia University, USA.

SUBMITTER: Mkrtchyan GV

PROVIDER: S-EPMC7803558 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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ARDD 2020: from aging mechanisms to interventions.

Mkrtchyan Garik V GV Abdelmohsen Kotb K Andreux Pénélope P Bagdonaite Ieva I Barzilai Nir N Brunak Søren S Cabreiro Filipe F de Cabo Rafael R Campisi Judith J Cuervo Ana Maria AM Demaria Marco M Ewald Collin Y CY Fang Evandro Fei EF Faragher Richard R Ferrucci Luigi L Freund Adam A Silva-García Carlos G CG Georgievskaya Anastasia A Gladyshev Vadim N VN Glass David J DJ Gorbunova Vera V de Grey Aubrey A He Wei-Wu WW Hoeijmakers Jan J Hoffmann Eva E Horvath Steve S Houtkooper Riekelt H RH Jensen Majken K MK Jensen Martin Borch MB Kane Alice A Kassem Moustapha M de Keizer Peter P Kennedy Brian B Karsenty Gerard G Lamming Dudley W DW Lee Kai-Fu KF MacAulay Nanna N Mamoshina Polina P Mellon Jim J Molenaars Marte M Moskalev Alexey A Mund Andreas A Niedernhofer Laura L Osborne Brenna B Pak Heidi H HH Parkhitko Andrey A Raimundo Nuno N Rando Thomas A TA Rasmussen Lene Juel LJ Reis Carolina C Riedel Christian G CG Franco-Romero Anais A Schumacher Björn B Sinclair David A DA Suh Yousin Y Taub Pam R PR Toiber Debra D Treebak Jonas T JT Valenzano Dario Riccardo DR Verdin Eric E Vijg Jan J Young Sergey S Zhang Lei L Bakula Daniela D Zhavoronkov Alex A Scheibye-Knudsen Morten M

Aging 20201230 24

Aging is emerging as a druggable target with growing interest from academia, industry and investors. New technologies such as artificial intelligence and advanced screening techniques, as well as a strong influence from the industry sector may lead to novel discoveries to treat age-related diseases. The present review summarizes presentations from the 7th Annual Aging Research and Drug Discovery (ARDD) meeting, held online on the 1st to 4th of September 2020. The ...[more]

PMID: 33378272

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Project description:Kenya has experienced cholera outbreaks since 1971, with the most recent wave beginning in late 2014. Between 2015-2020, 32 of 47 counties reported 30,431 suspected cholera cases. The Global Task Force for Cholera Control (GTFCC) developed a Global Roadmap for Ending Cholera by 2030, which emphasizes the need to target multi-sectoral interventions in priority cholera burden hotspots. This study utilizes the GTFCC's hotspot method to identify hotspots in Kenya at the county and sub-county administrative levels from 2015 through 2020. 32 of 47 (68.1%) counties reported cholera cases during this time while only 149 of 301 (49.5%) sub-counties reported cholera cases. The analysis identifies hotspots based on the mean annual incidence (MAI) over the past five-year period and cholera's persistence in the area. Applying a MAI threshold of 90th percentile and the median persistence at both the county and sub-county levels, we identified 13 high risk sub-counties from 8 counties, including the 3 high risk counties of Garissa, Tana River and Wajir. This demonstrates that several sub-counties are high level hotspots while their counties are not. In addition, when cases reported by county versus sub-county hotspot risk are compared, 1.4 million people overlapped in the areas identified as both high-risk county and high-risk sub-county. However, assuming that finer scale data is more accurate, 1.6 million high risk sub-county people would have been misclassified as medium risk with a county-level analysis. Furthermore, an additional 1.6 million people would have been classified as living in high-risk in a county-level analysis when at the sub-county level, they were medium, low or no-risk sub-counties. This results in 3.2 million people being misclassified when county level analysis is utilized rather than a more-focused sub-county level analysis. This analysis highlights the need for more localized risk analyses to target cholera intervention and prevention efforts towards the populations most vulnerable.

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ARDD 2020: from aging mechanisms to interventions.

Publications

ARDD 2020: from aging mechanisms to interventions.

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