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High-throughput screening for amyloid-β binding natural small-molecules based on the combinational use of biolayer interferometry and UHPLC−DAD-Q/TOF-MS/MS 被引量:5

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摘要 Discovery of drugs rapidly and effectively is an important aspect for Alzheimer's disease(AD).In this study,a novel high-throughput screening(HTS)method aims at screening the small-molecules with amyloid-β(Aβ)binding affinity from natural medicines,based on the combinational use of biolayer interferometry(BLI)and ultra-high-performance liquid chromatography coupled with diode-array detector and quadrupole/time-of-flight tandem mass spectrometry(UHPLC−DAD-Q/TOF-MS/MS)has been firstly developed.Briefly,the components in natural medicines disassociated from biotinylated Aβwere collected to analyze their potential Aβbinding affinity by UHPLC−DAD-Q/TOF-MS/MS.Here,baicalein was confirmed to exhibit the highest binding affinity with Aβin Scutellaria baicalensis.Moreover,polyporenic acid C(PPAC),dehydrotumulosic acid(DTA),and tumulosic acid(TA)in Kai-Xin-San(KXS)were also identified as potent Aβinhibitors.Further bioactivity validations indicated that these compounds could inhibit Aβfibrillation,improve the viability in Aβ-induced PC-12 cells,and decrease the Aβcontent and improve the behavioral ability in Caenorhabditis elegans.The molecular docking results confirmed that PPAC,DTA,and TA possessed good binding properties with Aβ.Collectively,the present study has provided a novel and effective HTS method for the identification of natural inhibitors on Aβfibrillation,which may accelerate the process on anti-AD drugs discovery and development.
出处 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2022年第4期1723-1739,共17页 药学学报(英文版)
基金 This work was supported by grants from the National Natural Science Foundation of China(81903829,81801398) Department of Science and Technology of Sichuan Province,China(2018JY0474,2019JDPT0010,2021YJ0180,21RCYJ0021,202086,2019YFSY0014) The Joint project of Luzhou Municipal People’s Government and Southwest Medical University,China(2019LZXNYDJ02,2019LZXNYDJ05,2020LZXNYDJ37) The Science and Technology Planning Programs of Luzhou(2018-JYJ-34,China).
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