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Rapid Communication | Open Access

Machine learning-driven discovery of celastrol as an anti-inflammatory therapy suppressing NETs in severe influenza

Rui Guia,b,c,f, Lei Xuea,f, Lele Lia,f, Jianmei Xiaoa, Li Pengc, Meng Nia, Wanling Penge( ), Haoliang Wanga,b( ), Zhili Liud,e,f( ), Guohong Denga,b,c( )
Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
Chongqing Key Laboratory of Viral Infectious Diseases, Chongqing 400038, China
Yu-Yue Center for Pathology Research, Chongqing 400039, China
Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong 999077, China
Songjiang Research Institute, Shanghai Key Laboratory of Emotions and Affective Disorders, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China

f These authors contributed equally to this work.

Peer review under the responsibility of Chongqing Medical University.

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Genes & Diseases
Volume 13 Issue 4,
July 2026
DOI: 10.1016/j.gendis.2025.101971

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Cite this article:
Gui R, Xue L, Li L, et al. Machine learning-driven discovery of celastrol as an anti-inflammatory therapy suppressing NETs in severe influenza. Genes & Diseases, 2026, 13(4). https://doi.org/10.1016/j.gendis.2025.101971

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Received: 10 April 2025
Published: 09 December 2025
© 2025 The Authors.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).