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Xu Y, Xin J, Sun Y, Wang X, Sun L, Zhao F, Niu C, Liu S. Mechanisms of Sepsis-Induced Acute Lung Injury and Advancements of Natural Small Molecules in Its Treatment. Pharmaceuticals (Basel) 2024; 17:472. [PMID: 38675431 PMCID: PMC11054595 DOI: 10.3390/ph17040472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/02/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024] Open
Abstract
Sepsis-induced acute lung injury (ALI), characterized by widespread lung dysfunction, is associated with significant morbidity and mortality due to the lack of effective pharmacological treatments available clinically. Small-molecule compounds derived from natural products represent an innovative source and have demonstrated therapeutic potential against sepsis-induced ALI. These natural small molecules may provide a promising alternative treatment option for sepsis-induced ALI. This review aims to summarize the pathogenesis of sepsis and potential therapeutic targets. It assembles critical updates (from 2014 to 2024) on natural small molecules with therapeutic potential against sepsis-induced ALI, detailing their sources, structures, effects, and mechanisms of action.
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Affiliation(s)
- Yaxi Xu
- School of Pharmacy, Yantai University, Yantai 264005, China; (Y.X.); (Y.S.); (X.W.)
| | - Jianzeng Xin
- School of Life Sciences, Yantai University, Yantai 264005, China;
| | - Yupei Sun
- School of Pharmacy, Yantai University, Yantai 264005, China; (Y.X.); (Y.S.); (X.W.)
| | - Xuyan Wang
- School of Pharmacy, Yantai University, Yantai 264005, China; (Y.X.); (Y.S.); (X.W.)
| | - Lili Sun
- College of Pharmacy, University of Utah, Salt Lake City, UT 84108, USA;
| | - Feng Zhao
- School of Pharmacy, Yantai University, Yantai 264005, China; (Y.X.); (Y.S.); (X.W.)
| | - Changshan Niu
- College of Pharmacy, University of Utah, Salt Lake City, UT 84108, USA;
| | - Sheng Liu
- School of Pharmacy, Yantai University, Yantai 264005, China; (Y.X.); (Y.S.); (X.W.)
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Zhu J, Meng H, Li X, Jia L, Xu L, Cai Y, Chen Y, Jin J, Yu L. Optimization of virtual screening against phosphoinositide 3-kinase delta: Integration of common feature pharmacophore and multicomplex-based molecular docking. Comput Biol Chem 2024; 109:108011. [PMID: 38198965 DOI: 10.1016/j.compbiolchem.2023.108011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/29/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024]
Abstract
Extensive research has accumulated which suggests that phosphatidylinositol 3-kinase delta (PI3Kδ) is closely related to the occurrence and development of various human diseases, making PI3Kδ a highly promising drug target. However, PI3Kδ exhibits high homology with other members of the PI3K family, which poses significant challenges to the development of PI3Kδ inhibitors. Therefore, in the present study, a hybrid virtual screening (VS) approach based on a ligand-based pharmacophore model and multicomplex-based molecular docking was developed to find novel PI3Kδ inhibitors. 13 crystal structures of the human PI3Kδ-inhibitor complex were collected to establish models. The inhibitors were extracted from the crystal structures to generate the common feature pharmacophore. The crystallographic protein structures were used to construct a naïve Bayesian classification model that integrates molecular docking based on multiple PI3Kδ conformations. Subsequently, three VS protocols involving sequential or parallel molecular docking and pharmacophore approaches were employed. External predictions demonstrated that the protocol combining molecular docking and pharmacophore resulted in a significant improvement in the enrichment of active PI3Kδ inhibitors. Finally, the optimal VS method was utilized for virtual screening against a large chemical database, and some potential hit compounds were identified. We hope that the developed VS strategy will provide valuable guidance for the discovery of novel PI3Kδ inhibitors.
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Affiliation(s)
- Jingyu Zhu
- School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China.
| | - Huiqin Meng
- School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Xintong Li
- School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Lei Jia
- School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Lei Xu
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China
| | - Yanfei Cai
- School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Yun Chen
- School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Jian Jin
- School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Li Yu
- School of Inspection and Testing Certification, Changzhou Vocational Institute of Engineering, Changzhou, Jiangsu 213164, China.
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