1.Laboratory information management system for COVID-19 non-clinical efficacy trial data
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
Laboratory Animal Research 2022;38(2):119-127
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.
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