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Laboratory information management system for COVID-19 non-clinical efficacy trial data

Authors :
Suhyeon Yoon
Hyuna Noh
Heejin Jin
Sungyoung Lee
Soyul Han
Sung-Hee Kim
Jiseon Kim
Jung Seon Seo
Jeong Jin Kim
In Ho Park
Jooyeon Oh
Joon-Yong Bae
Gee Eun Lee
Sun-Je Woo
Sun-Min Seo
Na-Won Kim
Youn Woo Lee
Hui Jeong Jang
Seung-Min Hong
Se-Hee An
Kwang-Soo Lyoo
Minjoo Yeom
Hanbyeul Lee
Bud Jung
Sun-Woo Yoon
Jung-Ah Kang
Sang-Hyuk Seok
Yu Jin Lee
Seo Yeon Kim
Young Been Kim
Ji-Yeon Hwang
Dain On
Soo-Yeon Lim
Sol Pin Kim
Ji Yun Jang
Ho Lee
Kyoungmi Kim
Hyo-Jung Lee
Hong Bin Kim
Jun Won Park
Dae Gwin Jeong
Daesub Song
Kang-Seuk Choi
Ho-Young Lee
Yang-Kyu Choi
Jung-ah Choi
Manki Song
Man-Seong Park
Jun-Young Seo
Ki Taek Nam
Jeon-Soo Shin
Sungho Won
Jun-Won Yun
Je Kyung Seong
Source :
Laboratory animal research. 38(1)
Publication Year :
2022

Abstract

Background As the number of large-scale studies involving multiple organizations producing data has steadily increased, an integrated system for a common interoperable format is needed. In response to the coronavirus disease 2019 (COVID-19) pandemic, a number of global efforts are underway to develop vaccines and therapeutics. We are therefore observing an explosion in the proliferation of COVID-19 data, and interoperability is highly requested in multiple institutions participating simultaneously in COVID-19 pandemic research. Results In this study, a laboratory information management system (LIMS) approach has been adopted to systemically manage various COVID-19 non-clinical trial data, including mortality, clinical signs, body weight, body temperature, organ weights, viral titer (viral replication and viral RNA), and multiorgan histopathology, from multiple institutions based on a web interface. The main aim of the implemented system is to integrate, standardize, and organize data collected from laboratories in multiple institutes for COVID-19 non-clinical efficacy testings. Six animal biosafety level 3 institutions proved the feasibility of our system. Substantial benefits were shown by maximizing collaborative high-quality non-clinical research. Conclusions This LIMS platform can be used for future outbreaks, leading to accelerated medical product development through the systematic management of extensive data from non-clinical animal studies.

Details

ISSN :
17386055
Volume :
38
Issue :
1
Database :
OpenAIRE
Journal :
Laboratory animal research
Accession number :
edsair.doi.dedup.....0f637642453e0c88c8cdbb1c056e38e0