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Methotrexate inhibition of SARS-CoV-2 entry, infection and inflammation revealed by bioinformatics approach and a hamster model
BACKGROUND: Drug repurposing is a fast and effective way to develop drugs for an emerging disease such as COVID-19. The main challenges of effective drug repurposing are the discoveries of the right therapeutic targets and the right drugs for combating the disease. METHODS: Here, we present a system...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811668/ https://www.ncbi.nlm.nih.gov/pubmed/36618412 http://dx.doi.org/10.3389/fimmu.2022.1080897 |
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author | Chen, Yun-Ti Chang, Yu-Hsiu Pathak, Nikhil Tzou, Shey-Cherng Luo, Yong-Chun Hsu, Yen-Chao Li, Tian-Neng Lee, Jung-Yu Chen, Yi-Cyun Huang, Yu-Wei Yang, Hsin-Ju Hsu, Nung-Yu Tsai, Hui-Ping Chang, Tein-Yao Hsu, Shu-Chen Liu, Ping-Cheng Chin, Yuan-Fan Lin, Wen-Chin Yang, Chuen-Mi Wu, Hsueh-Ling Lee, Chia-Ying Hsu, Hui-Ling Liu, Yi-Chun Chu, Jhih-Wei Wang, Lily Hui-Ching Wang, Jann-Yuan Huang, Chih-Heng Lin, Chi-Hung Hsieh, Po-Shiuan Wu Lee, Yan-Hwa Hung, Yi-Jen Yang, Jinn-Moon |
author_facet | Chen, Yun-Ti Chang, Yu-Hsiu Pathak, Nikhil Tzou, Shey-Cherng Luo, Yong-Chun Hsu, Yen-Chao Li, Tian-Neng Lee, Jung-Yu Chen, Yi-Cyun Huang, Yu-Wei Yang, Hsin-Ju Hsu, Nung-Yu Tsai, Hui-Ping Chang, Tein-Yao Hsu, Shu-Chen Liu, Ping-Cheng Chin, Yuan-Fan Lin, Wen-Chin Yang, Chuen-Mi Wu, Hsueh-Ling Lee, Chia-Ying Hsu, Hui-Ling Liu, Yi-Chun Chu, Jhih-Wei Wang, Lily Hui-Ching Wang, Jann-Yuan Huang, Chih-Heng Lin, Chi-Hung Hsieh, Po-Shiuan Wu Lee, Yan-Hwa Hung, Yi-Jen Yang, Jinn-Moon |
author_sort | Chen, Yun-Ti |
collection | PubMed |
description | BACKGROUND: Drug repurposing is a fast and effective way to develop drugs for an emerging disease such as COVID-19. The main challenges of effective drug repurposing are the discoveries of the right therapeutic targets and the right drugs for combating the disease. METHODS: Here, we present a systematic repurposing approach, combining Homopharma and hierarchal systems biology networks (HiSBiN), to predict 327 therapeutic targets and 21,233 drug-target interactions of 1,592 FDA drugs for COVID-19. Among these multi-target drugs, eight candidates (along with pimozide and valsartan) were tested and methotrexate was identified to affect 14 therapeutic targets suppressing SARS-CoV-2 entry, viral replication, and COVID-19 pathologies. Through the use of in vitro (EC(50) = 0.4 μM) and in vivo models, we show that methotrexate is able to inhibit COVID-19 via multiple mechanisms. RESULTS: Our in vitro studies illustrate that methotrexate can suppress SARS-CoV-2 entry and replication by targeting furin and DHFR of the host, respectively. Additionally, methotrexate inhibits all four SARS-CoV-2 variants of concern. In a Syrian hamster model for COVID-19, methotrexate reduced virus replication, inflammation in the infected lungs. By analysis of transcriptomic analysis of collected samples from hamster lung, we uncovered that neutrophil infiltration and the pathways of innate immune response, adaptive immune response and thrombosis are modulated in the treated animals. CONCLUSIONS: We demonstrate that this systematic repurposing approach is potentially useful to identify pharmaceutical targets, multi-target drugs and regulated pathways for a complex disease. Our findings indicate that methotrexate is established as a promising drug against SARS-CoV-2 variants and can be used to treat lung damage and inflammation in COVID-19, warranting future evaluation in clinical trials. |
format | Online Article Text |
id | pubmed-9811668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98116682023-01-05 Methotrexate inhibition of SARS-CoV-2 entry, infection and inflammation revealed by bioinformatics approach and a hamster model Chen, Yun-Ti Chang, Yu-Hsiu Pathak, Nikhil Tzou, Shey-Cherng Luo, Yong-Chun Hsu, Yen-Chao Li, Tian-Neng Lee, Jung-Yu Chen, Yi-Cyun Huang, Yu-Wei Yang, Hsin-Ju Hsu, Nung-Yu Tsai, Hui-Ping Chang, Tein-Yao Hsu, Shu-Chen Liu, Ping-Cheng Chin, Yuan-Fan Lin, Wen-Chin Yang, Chuen-Mi Wu, Hsueh-Ling Lee, Chia-Ying Hsu, Hui-Ling Liu, Yi-Chun Chu, Jhih-Wei Wang, Lily Hui-Ching Wang, Jann-Yuan Huang, Chih-Heng Lin, Chi-Hung Hsieh, Po-Shiuan Wu Lee, Yan-Hwa Hung, Yi-Jen Yang, Jinn-Moon Front Immunol Immunology BACKGROUND: Drug repurposing is a fast and effective way to develop drugs for an emerging disease such as COVID-19. The main challenges of effective drug repurposing are the discoveries of the right therapeutic targets and the right drugs for combating the disease. METHODS: Here, we present a systematic repurposing approach, combining Homopharma and hierarchal systems biology networks (HiSBiN), to predict 327 therapeutic targets and 21,233 drug-target interactions of 1,592 FDA drugs for COVID-19. Among these multi-target drugs, eight candidates (along with pimozide and valsartan) were tested and methotrexate was identified to affect 14 therapeutic targets suppressing SARS-CoV-2 entry, viral replication, and COVID-19 pathologies. Through the use of in vitro (EC(50) = 0.4 μM) and in vivo models, we show that methotrexate is able to inhibit COVID-19 via multiple mechanisms. RESULTS: Our in vitro studies illustrate that methotrexate can suppress SARS-CoV-2 entry and replication by targeting furin and DHFR of the host, respectively. Additionally, methotrexate inhibits all four SARS-CoV-2 variants of concern. In a Syrian hamster model for COVID-19, methotrexate reduced virus replication, inflammation in the infected lungs. By analysis of transcriptomic analysis of collected samples from hamster lung, we uncovered that neutrophil infiltration and the pathways of innate immune response, adaptive immune response and thrombosis are modulated in the treated animals. CONCLUSIONS: We demonstrate that this systematic repurposing approach is potentially useful to identify pharmaceutical targets, multi-target drugs and regulated pathways for a complex disease. Our findings indicate that methotrexate is established as a promising drug against SARS-CoV-2 variants and can be used to treat lung damage and inflammation in COVID-19, warranting future evaluation in clinical trials. Frontiers Media S.A. 2022-12-21 /pmc/articles/PMC9811668/ /pubmed/36618412 http://dx.doi.org/10.3389/fimmu.2022.1080897 Text en Copyright © 2022 Chen, Chang, Pathak, Tzou, Luo, Hsu, Li, Lee, Chen, Huang, Yang, Hsu, Tsai, Chang, Hsu, Liu, Chin, Lin, Yang, Wu, Lee, Hsu, Liu, Chu, Wang, Wang, Huang, Lin, Hsieh, Wu Lee, Hung and Yang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Chen, Yun-Ti Chang, Yu-Hsiu Pathak, Nikhil Tzou, Shey-Cherng Luo, Yong-Chun Hsu, Yen-Chao Li, Tian-Neng Lee, Jung-Yu Chen, Yi-Cyun Huang, Yu-Wei Yang, Hsin-Ju Hsu, Nung-Yu Tsai, Hui-Ping Chang, Tein-Yao Hsu, Shu-Chen Liu, Ping-Cheng Chin, Yuan-Fan Lin, Wen-Chin Yang, Chuen-Mi Wu, Hsueh-Ling Lee, Chia-Ying Hsu, Hui-Ling Liu, Yi-Chun Chu, Jhih-Wei Wang, Lily Hui-Ching Wang, Jann-Yuan Huang, Chih-Heng Lin, Chi-Hung Hsieh, Po-Shiuan Wu Lee, Yan-Hwa Hung, Yi-Jen Yang, Jinn-Moon Methotrexate inhibition of SARS-CoV-2 entry, infection and inflammation revealed by bioinformatics approach and a hamster model |
title | Methotrexate inhibition of SARS-CoV-2 entry, infection and inflammation revealed by bioinformatics approach and a hamster model |
title_full | Methotrexate inhibition of SARS-CoV-2 entry, infection and inflammation revealed by bioinformatics approach and a hamster model |
title_fullStr | Methotrexate inhibition of SARS-CoV-2 entry, infection and inflammation revealed by bioinformatics approach and a hamster model |
title_full_unstemmed | Methotrexate inhibition of SARS-CoV-2 entry, infection and inflammation revealed by bioinformatics approach and a hamster model |
title_short | Methotrexate inhibition of SARS-CoV-2 entry, infection and inflammation revealed by bioinformatics approach and a hamster model |
title_sort | methotrexate inhibition of sars-cov-2 entry, infection and inflammation revealed by bioinformatics approach and a hamster model |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811668/ https://www.ncbi.nlm.nih.gov/pubmed/36618412 http://dx.doi.org/10.3389/fimmu.2022.1080897 |
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