Lab Anim Res.
2022 Jun;38(2):119-127. 10.1186/s42826-022-00127-2.
Laboratory information management system for COVID-19 non-clinical efficacy trial data
- Affiliations
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- 1Korea Mouse Phenotyping Center, Seoul National University, Seoul 08826, Republic of Korea
- 2Institute of Health and Environment, Seoul National University, Seoul 08826, Republic of Korea
- 3Department of Genomic Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea
- 4Department of Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
- 5RexSoft Corp, Seoul 08826, Republic of Korea
- 6Severance Biomedical Science Institute, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- 7Institute of Immunology and Immunological Diseases, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- 8Department of Microbiology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- 9Department of Microbiology, Institute for Viral Diseases, Biosafety Center, Korea University College of Medicine, Seoul 02841, Republic of Korea
- 10Science Unit, International Vaccine Institute, Seoul 08826, Republic of Korea
- 11Department of Laboratory Animal Medicine, College of Veterinary Medicine, Konkuk University, Seoul 05029, Republic of Korea
- 12Department of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam 13488, Republic of Korea
- 13Laboratory of Avian Diseases, BK21 Plus Program for Veterinary Science and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
- 14Korea Zoonosis Research Institute, Chonbuk National University, Iksan 54531, Republic of Korea
- 15Department of Pharmacy, College of Pharmacy, Korea University, Sejong 30019, Republic of Korea
- 16Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea
- 17Division of Biomedical Convergence, College of Biomedical Science, Kangwon National University, ChunCheon 24341, Republic of Korea
- 18Preclinical Research Center, Seoul National University Bundang Hospital, Seongnam 13488, Republic of Korea
- 19Laboratory of Developmental Biology and Genomics, Research Institute for Veterinary Science, BK21 PLUS Program for Creative Veterinary Science Research, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
- 20Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Gyeonggi 10408, Republic of Korea
- 21College of Pharmacy, Dongguk University, Seoul 04620, Republic of Korea
- 22Department of Biomedical Sciences and Department of Physiology, Korea University College of Medicine, Seoul 02841, Republic of Korea
- 23Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea
- 24Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam 13620, Republic of Korea
- 25Department of Public Health Sciences, Seoul National University, Seoul 08826, Republic of Korea
- 26Laboratory of Veterinary Toxicology, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
- 27Interdisciplinary Program for Bioinformatics, Program for Cancer Biology, BIO-MAX/N-Bio Institute, Seoul National University, Seoul 08826, Republic of Korea
- KMID: 2530961
- DOI: http://doi.org/10.1186/s42826-022-00127-2
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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