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Sci Rep. 2018 Oct 8;8(1):14969. doi: 10.1038/s41598-018-33039-0.

LINCS L1000 dataset-based repositioning of CGP-60474 as a highly potent anti-endotoxemic agent.

Han HW1, Hahn S2,3, Jeong HY3,4, Jee JH2,3, Nam MO2,3, Kim HK2,3, Lee DH3,5, Lee SY4, Choi DK6, Yu JH6, Min SH7, Yoo J8,9.

Author information

1
Department of Medical Informatics, CHA University, Seongnam-si, Gyeonggi-do, South Korea.
2
Department of Microbiology, CHA University, Seongnam-si, Gyeonggi-do, South Korea.
3
Organoid Research Center, School of Medicine, CHA University, Seongnam-si, Gyeonggi-do, South Korea.
4
Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, South Korea.
5
Department of Physiology, School of Medicine, CHA University, Seongnam-si, Gyeonggi-do, South Korea.
6
New Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Dong-gu, Daegu, South Korea.
7
New Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Dong-gu, Daegu, South Korea. shmin03@dgmif.re.kr.
8
Department of Microbiology, CHA University, Seongnam-si, Gyeonggi-do, South Korea. jongmanyoo@cha.ac.kr.
9
Organoid Research Center, School of Medicine, CHA University, Seongnam-si, Gyeonggi-do, South Korea. jongmanyoo@cha.ac.kr.

Abstract

Sepsis is one of the most common clinical syndromes that causes death and disability. Although many studies have developed drugs for sepsis treatment, none have decreased the mortality rate. The aim of this study was to identify a novel treatment option for sepsis using the library of integrated network-based cellular signatures (LINCS) L1000 perturbation dataset based on an in vitro and in vivo sepsis model. Sepsis-related microarray studies of early-stage inflammatory processes in patients and innate immune cells were collected from the Gene Expression Omnibus (GEO) data repository and used for candidate drug selection based on the LINCS L1000 perturbation dataset. The anti-inflammatory effects of the selected candidate drugs were analyzed using activated macrophage cell lines. CGP-60474, an inhibitor of cyclin-dependent kinase, was the most potent drug. It alleviated tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in activated macrophages by downregulating the NF-κB activity, and it reduced the mortality rate in LPS induced endotoxemia mice. This study shows that CGP-60474 could be a potential therapeutic candidate to attenuate the endotoxemic process. Additionally, the virtual screening strategy using the LINCS L1000 perturbation dataset could be a cost and time effective tool in the early stages of drug development.

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