COVID-19非临床疗效试验数据实验室信息管理系统。

IF 2.7 Q3 MEDICINE, RESEARCH & EXPERIMENTAL Laboratory Animal Research Pub Date : 2022-06-28 DOI:10.1186/s42826-022-00127-2
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
{"title":"COVID-19非临床疗效试验数据实验室信息管理系统。","authors":"Suhyeon Yoon,&nbsp;Hyuna Noh,&nbsp;Heejin Jin,&nbsp;Sungyoung Lee,&nbsp;Soyul Han,&nbsp;Sung-Hee Kim,&nbsp;Jiseon Kim,&nbsp;Jung Seon Seo,&nbsp;Jeong Jin Kim,&nbsp;In Ho Park,&nbsp;Jooyeon Oh,&nbsp;Joon-Yong Bae,&nbsp;Gee Eun Lee,&nbsp;Sun-Je Woo,&nbsp;Sun-Min Seo,&nbsp;Na-Won Kim,&nbsp;Youn Woo Lee,&nbsp;Hui Jeong Jang,&nbsp;Seung-Min Hong,&nbsp;Se-Hee An,&nbsp;Kwang-Soo Lyoo,&nbsp;Minjoo Yeom,&nbsp;Hanbyeul Lee,&nbsp;Bud Jung,&nbsp;Sun-Woo Yoon,&nbsp;Jung-Ah Kang,&nbsp;Sang-Hyuk Seok,&nbsp;Yu Jin Lee,&nbsp;Seo Yeon Kim,&nbsp;Young Been Kim,&nbsp;Ji-Yeon Hwang,&nbsp;Dain On,&nbsp;Soo-Yeon Lim,&nbsp;Sol Pin Kim,&nbsp;Ji Yun Jang,&nbsp;Ho Lee,&nbsp;Kyoungmi Kim,&nbsp;Hyo-Jung Lee,&nbsp;Hong Bin Kim,&nbsp;Jun Won Park,&nbsp;Dae Gwin Jeong,&nbsp;Daesub Song,&nbsp;Kang-Seuk Choi,&nbsp;Ho-Young Lee,&nbsp;Yang-Kyu Choi,&nbsp;Jung-Ah Choi,&nbsp;Manki Song,&nbsp;Man-Seong Park,&nbsp;Jun-Young Seo,&nbsp;Ki Taek Nam,&nbsp;Jeon-Soo Shin,&nbsp;Sungho Won,&nbsp;Jun-Won Yun,&nbsp;Je Kyung Seong","doi":"10.1186/s42826-022-00127-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":17993,"journal":{"name":"Laboratory Animal Research","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238008/pdf/","citationCount":"1","resultStr":"{\"title\":\"Laboratory information management system for COVID-19 non-clinical efficacy trial data.\",\"authors\":\"Suhyeon Yoon,&nbsp;Hyuna Noh,&nbsp;Heejin Jin,&nbsp;Sungyoung Lee,&nbsp;Soyul Han,&nbsp;Sung-Hee Kim,&nbsp;Jiseon Kim,&nbsp;Jung Seon Seo,&nbsp;Jeong Jin Kim,&nbsp;In Ho Park,&nbsp;Jooyeon Oh,&nbsp;Joon-Yong Bae,&nbsp;Gee Eun Lee,&nbsp;Sun-Je Woo,&nbsp;Sun-Min Seo,&nbsp;Na-Won Kim,&nbsp;Youn Woo Lee,&nbsp;Hui Jeong Jang,&nbsp;Seung-Min Hong,&nbsp;Se-Hee An,&nbsp;Kwang-Soo Lyoo,&nbsp;Minjoo Yeom,&nbsp;Hanbyeul Lee,&nbsp;Bud Jung,&nbsp;Sun-Woo Yoon,&nbsp;Jung-Ah Kang,&nbsp;Sang-Hyuk Seok,&nbsp;Yu Jin Lee,&nbsp;Seo Yeon Kim,&nbsp;Young Been Kim,&nbsp;Ji-Yeon Hwang,&nbsp;Dain On,&nbsp;Soo-Yeon Lim,&nbsp;Sol Pin Kim,&nbsp;Ji Yun Jang,&nbsp;Ho Lee,&nbsp;Kyoungmi Kim,&nbsp;Hyo-Jung Lee,&nbsp;Hong Bin Kim,&nbsp;Jun Won Park,&nbsp;Dae Gwin Jeong,&nbsp;Daesub Song,&nbsp;Kang-Seuk Choi,&nbsp;Ho-Young Lee,&nbsp;Yang-Kyu Choi,&nbsp;Jung-Ah Choi,&nbsp;Manki Song,&nbsp;Man-Seong Park,&nbsp;Jun-Young Seo,&nbsp;Ki Taek Nam,&nbsp;Jeon-Soo Shin,&nbsp;Sungho Won,&nbsp;Jun-Won Yun,&nbsp;Je Kyung Seong\",\"doi\":\"10.1186/s42826-022-00127-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":17993,\"journal\":{\"name\":\"Laboratory Animal Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2022-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238008/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Laboratory Animal Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s42826-022-00127-2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Laboratory Animal Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s42826-022-00127-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 1

摘要

背景:随着涉及多个产生数据的组织的大规模研究的数量稳步增加,需要一个通用互操作格式的集成系统。为应对2019年冠状病毒病(COVID-19)大流行,全球正在努力开发疫苗和治疗方法。因此,我们看到COVID-19数据激增,同时参与COVID-19大流行研究的多个机构对互操作性的要求很高。结果:本研究采用实验室信息管理系统(LIMS)的方式,基于web界面,系统管理来自多个机构的各种COVID-19非临床试验数据,包括死亡率、临床体征、体重、体温、器官重量、病毒滴度(病毒复制和病毒RNA)、多器官组织病理学。实施该系统的主要目的是整合、规范和组织多个研究所实验室收集的COVID-19非临床疗效检测数据。6家动物生物安全三级机构证明了该系统的可行性。通过最大限度地开展高质量的协作性非临床研究,可以获得实质性的好处。结论:该LIMS平台可用于未来的疫情,通过系统管理来自非临床动物研究的大量数据,加速医疗产品的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Laboratory information management system for COVID-19 non-clinical efficacy trial data.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.40
自引率
0.00%
发文量
32
审稿时长
8 weeks
期刊最新文献
Observation of neutrophil extracellular traps in the development of diabetic nephropathy using diabetic murine models. Hypoxia-inducible factor-1α-deficient adipose-tissue macrophages produce the heat to mediate lipolysis of white adipose tissue through uncoupling protein-1. Correction: Effects of single housing on behavior, corticosterone level and body weight in male and female mice. Effects of single housing on behavior, corticosterone level and body weight in male and female mice. A maternal diet high in carbohydrates causes bradyarrhythmias and changes in heart rate variability in the offspring sex-dependent in mice.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1