Host Factor Interaction Networks Identified by Integrative Bioinformatics Analysis Reveals Therapeutic Implications in COPD Patients With COVID-19
- 1The First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China
- 2The First Affiliated Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
- 3Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, China
A Corrigendum on
Host factor interaction networks identified by integrative bioinformatics analysis reveals therapeutic implications in COPD patients with COVID-19
by Zheng W, Wang T, Wu P, Yan Q, Liu C, Wu H, Zhan S, Liu X, Jiang Y and Zhuang H (2021). Front. Pharmacol. 12:718874. doi: 10.3389/fphar.2021.718874
In the published article, there was an error in the Funding statement. The section “the XL Famous Traditional Chinese Medicine Inheritance Studio from the Traditional Chinese Medicine Bureau of Guangdong Province (Grant No. 201805)” is incorrect. It should be “the scientific research project of Traditional Chinese Medicine Bureau of Guangdong Province (20201092).” The correct Funding statement appears below.
“This research was funded by grants from the “Double First-Class” And High-level University Discipline Collaborative Innovation Team Project of Guangzhou University of Chinese Medicine (Grant No.2021XK16), the Guangdong Provincial Department of Education Innovation Team Project (Grant No.2018KCXTD007), the Scientific Research Project of Guangdong Provincial Bureau of Traditional Chinese Medicine (Grant No.20212056), the Key-Area Research and Development Program of Guangdong Province (Grant No. 2020B1111100002), the National Natural Science Foundation of China (Grant Nos.81973814 and 81904132), the Natural Science Foundation of Guangdong Province (Grant No. 2017A030310129), the Natural Science Foundation of Guangdong Province (Grant No. 2020A1515010589), the scientific research project of Traditional Chinese Medicine Bureau of Guangdong Province (20201092), the Construction Project of Respiratory Department National Clinical Medical Research Center (Grant No. 2110200309), 2018 Guangzhou University of Chinese Medicine National University Student Innovation and Entrepreneurship Training Project (Grant No. 201810572038), 2020 National College Student Innovation and Entrepreneurship Training Project of Guangzhou University of Chinese Medicine (Grant No. 202010572001), the Student Learning Team Incubation Project of Innovation Academy from The First Affiliated Hospital of Guangzhou University of Chinese Medicine (Grant No. 2018XXTD003), and the Technology Research of COVID-19 Treatment and Prevention and Special Project of Traditional Chinese Medicine Application-Research on the platform construction for the prevention and treatment of viral infectious diseases with traditional Chinese medicine (Grant No. 2020KJCXKTYJ-130).”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: COPD, COVID-19, comorbidity, bioinformatics analyses, host factor interaction networks
Citation: Zheng W, Wang T, Wu P, Yan Q, Liu C, Wu H, Zhan S, Liu X, Jiang Y and Zhuang H (2023) Corrigendum: Host factor interaction networks identified by integrative bioinformatics analysis reveals therapeutic implications in COPD patients with COVID-19. Front. Pharmacol. 14:1256022. doi: 10.3389/fphar.2023.1256022
Received: 10 July 2023; Accepted: 18 July 2023;
Published: 26 July 2023.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2023 Zheng, Wang, Wu, Yan, Liu, Wu, Zhan, Liu, Jiang and Zhuang. 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.
*Correspondence: Xiaohong Liu, rsclxhgzucm@163.com; Yong Jiang, jiangyongszzxy@163.com; Hongfa Zhuang, zhuanghongfa@163.com
†These authors have contributed equally to this work and share first authorship