已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Enzyme immobilized on magnetic fluorescent bifunctional nanoparticles for α-glucosidase inhibitors virtual screening from Agrimonia pilosa Ledeb extracts accompanied with molecular modeling

化学 戊二醛 色谱法 洗脱 荧光 双功能 生物化学 物理 量子力学 催化作用
作者
Jiang Xu,Yi Qin,Xuchao Wang,Zhili Xiong,Longshan Zhao
出处
期刊:Journal of Chromatography A [Elsevier]
卷期号:1711: 464433-464433 被引量:14
标识
DOI:10.1016/j.chroma.2023.464433
摘要

Agrimonia pilosa Ledeb (APL) is a significant source of inhibitors for α-glucosidase, which is an essential target enzyme for the treatment of type 2 diabetes, cancer and acquired immune deficiency syndrome. Ligand fishing is a suitable approach for the highly selective screening of bioactive substances in complex mixtures. Yet it is unable to conduct biomedical imaging screening, which is crucial for real-time identification. In this case, a bioanalytical platform combining magnetic fluorescent ligand fishing and in-situ imaging technique was established for the screening and identification of α-glucosidase inhibitors (AGIs) from APL crude extract, utilizing α-glucosidase coated CuInS2/ZnS-Fe3O4@SiO2 (AG-CIZSFS) nanocomposites as extracting material and fluorescent tracer. The AG-CIZSFS nanocomposites prepared through solvothermal and crosslinking methods displayed fast magnetic separation, excellent fluorescence performance and high enzyme activity. The tolerance of immobilized enzyme to temperature and pH was stronger than that of free enzyme. Prior to proof-of-concept with APL crude extract, a number essential parameters (glutaraldehyde concentration, immobilized time, enzyme amount, reaction solution pH, incubation temperature, incubation time, percentage of methanol in eluen, elution times and eluent volume) were optimized using an artificial test mixture. The fished ligands were identified by UPLC-MS/MS and their biological activities were preliminarily evaluated by real-time cellular morphological imaging of human colon carcinoma (HCT-116) cells based on confocal laser scanning microscope (CLSM). Their α-glucosidase inhibitory activities were further verified and studied by classical pNPG method and molecular docking. The isolated compounds exhibited significant α-glucosidase inhibitory activities with a IC50 value of 11.57 µg·mL-1. Six potential AGIs including tribuloside, ivorengenin A, tormentic acid, 1β, 2β, 3β, 19α-Tetra hydroxyurs-12-en-28-oic acid, corosolic acid and pomolic acid were ultimately screened out and identified from APL crude extracts. The proposed approach, which combined highly specific screening with in-situ visual imaging, provided a powerful platform for discovering bioactive components from multi-component and multi-target traditional Chinese medicine (TCM).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
斯文钢笔完成签到 ,获得积分10
刚刚
najd完成签到,获得积分10
2秒前
4秒前
zgy1001完成签到 ,获得积分10
6秒前
7秒前
GGBond完成签到 ,获得积分10
7秒前
烧炭匠完成签到,获得积分10
7秒前
8秒前
欢呼宛秋发布了新的文献求助10
9秒前
11秒前
黄婷发布了新的文献求助10
13秒前
15秒前
雨巷完成签到,获得积分10
16秒前
范范完成签到,获得积分10
16秒前
雨巷发布了新的文献求助10
18秒前
nhzz2023完成签到 ,获得积分0
22秒前
诺贝尔候选人完成签到 ,获得积分10
22秒前
25秒前
Dliii完成签到 ,获得积分10
26秒前
hh完成签到,获得积分10
27秒前
zebra发布了新的文献求助10
29秒前
32秒前
CipherSage应助hh采纳,获得10
33秒前
淡定太兰完成签到 ,获得积分10
41秒前
lulumomoxixi完成签到 ,获得积分10
45秒前
执着秀发完成签到 ,获得积分10
46秒前
呵呵完成签到,获得积分10
47秒前
49秒前
49秒前
53秒前
春天的粥完成签到 ,获得积分10
53秒前
57秒前
SOBER发布了新的文献求助10
59秒前
大帅比完成签到 ,获得积分10
1分钟前
可一可再完成签到 ,获得积分10
1分钟前
酷波er应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Signals, Systems, and Signal Processing 400
4th edition, Qualitative Data Analysis with NVivo Jenine Beekhuyzen, Pat Bazeley 300
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5611827
求助须知:如何正确求助?哪些是违规求助? 4695978
关于积分的说明 14889959
捐赠科研通 4727057
什么是DOI,文献DOI怎么找? 2545906
邀请新用户注册赠送积分活动 1510337
关于科研通互助平台的介绍 1473236