Laboratory Animal Research (Jun 2022)

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

DOI
https://doi.org/10.1186/s42826-022-00127-2
Journal volume & issue
Vol. 38, no. 1
pp. 1 – 9

Abstract

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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.

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