Liuwei Kangguan Formula: Mechanism-driven and computation-assisted optimization from Xuanfei Baidu Formula for combating SARS-CoV-2 infection
Year: 2026
Type: article
Abstract: Objective: To advance mechanism-driven optimization of traditional Chinese medicine (TCM) formulas for modern drug development, a computation assisted strategy integrating multiple reporter assays with network topology analysis was proposed. The strategy was applied to simplify Xuanfei Baidu Formula (XFBD), a clinically approved anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), to generate the optimized Liuwei Kangguan Formula (LWKG). Methods: An integrated transcriptomic analysis of public corona virus disease 2019 (COVID-19) datasets was applied to identify core targets. Reporter models evaluating these targets were established and evaluated through time-sequential agonist exposure and chemical interferences. These models were then used to screen for active components in XFBD, based on which a formula-herb-compound tripartite network was constructed and analyzed with seven topological algorithms. The prioritized nodes guided the formulation of the optimized preparation, LWKG. LWKG was then evaluated through chemical profiling and pharmacological experiments. Results: B), activator protein-1 (AP-1), and interferon-stimulated response element (ISRE) as key transcriptional regulators mediating anti-SARS-CoV-2 immune responses. Triple reporter models were then constructed, which demonstrated temporal activation and crosstalk among the three pathways. Subsequently, 20 serum-available compounds and nine herbal extracts were identified as potential active substances from 77 tested substances of XFBD, and six core components were prioritized to prepare LWKG. LWKG retained 62.1% of phytochemical features in XFBD. Besides, it demonstrated pharmacological activities in modulating antiviral innate immunity, inhibiting replication of SARS-CoV-2 subtypes, and alleviating pneumonia in SARS-CoV-2 or human coronavirus OC43 (HCoV-OC43) infected mice. Conclusion: experiments for optimizing TCM formulas.
Source: Chinese Herbal Medicines
Institutions: Zhejiang University, First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, ZheJiang Institute For Food and Drug Control, China Academy of Chinese Medical Sciences, Institute of Chinese Materia Medica
Language: English
Subfield: Complementary and alternative medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,200
Funders: National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, State Administration of Traditional Chinese Medicine of the People's Republic of China, National Key Research and Development Program of China, Tianjin Science and Technology Program, Natural Science Foundation of Zhejiang Province
OpenAlex ID: W7204596218
