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 AnKwang 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

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Article number17
JournalLaboratory Animal Research
Volume38
Issue number1
DOIs
Publication statusPublished - 2022 Dec

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

Keywords

  • COVID-19
  • Data
  • Laboratory information management system
  • Non-clinical
  • SARS-CoV-2

ASJC Scopus subject areas

  • General Biochemistry,Genetics and Molecular Biology

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