Spectrum-Effect Relationship-Based Strategy Combined with Molecular Docking to Explore Bioactive Flavonoids from Sceptridium ternatum

化学 植物化学 槲皮素 黄酮类 电喷雾电离 高效液相色谱法 抗氧化剂 色谱法 阿布茨 质谱法 生物化学 DPPH
作者
Junfeng Zhu,Haiying Ding,Like Zhong,Wenjuan Xin,Xiaojiao Yi,Luo Fang
出处
期刊:Molecules [Multidisciplinary Digital Publishing Institute]
卷期号:27 (17): 5698-5698 被引量:1
标识
DOI:10.3390/molecules27175698
摘要

Sceptridium ternatum is a herbaceous plant with significant potential for pharmaceutical and cosmetic applications. In this study, we established a spectrum-effect relationship-based strategy to investigate the bioactive basis and tissue distribution in S. ternatum. First, a phytochemical analysis on the ethanol extracts from roots, stems, and leaves of S. ternatum was performed using the colorimetric method, high-performance liquid chromatography-ultraviolet (HPLC-UV), and high-performance liquid chromatography-electrospray ionization quadrupole time-of-flight mass spectrometry (HPLC-ESI-Q-TOF-MS/MS). Then, radical scavenging assays and the lipopolysaccharide-stimulated RAW 264.7 cell model were used to estimate the antioxidant and anti-inflammatory activities, respectively. Spectrum-effect relationship analysis and molecular docking were further employed to evaluate the correlation between the phytochemical profile and anti-inflammatory activity. Our results demonstrate that S. ternatum leaves contained the most abundant flavonoids and exerted the best biological activities. Their IC50 values for scavenging 2,2'-azino-bis (3-ethylbenzthiazoline-6-sulfonic acid) and 1,1-diphenyl-2-picrylhydrazyl radicals were 2.43 ± 0.13 and 5.36 ± 0.54 mg/mL, respectively. In lipopolysaccharide-stimulated RAW 264.7 cells, the leaf extract caused the greatest reduction in nitric oxide production (38.15%) and interleukin-6 release (110.86%). Spectrum-effect relationship analysis and molecular docking indicated that quercetin 3-O-rhamnoside-7-O-glucoside possessed high anti-inflammatory activity by binding with interleukin-6. In conclusion, S. ternatum is a rich source of bioactive flavonoids with potential for exploitation in the prevention and treatment of oxidative stress and inflammation-related pathologies.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
cai发布了新的文献求助10
刚刚
1秒前
怕黑惜天发布了新的文献求助10
1秒前
1秒前
马外奥发布了新的文献求助10
3秒前
eason应助滴滴叭叭采纳,获得10
4秒前
5秒前
Jasper应助Sygganggang采纳,获得10
5秒前
DTS发布了新的文献求助10
5秒前
Alanni完成签到 ,获得积分10
6秒前
returno_0发布了新的文献求助10
6秒前
11111完成签到,获得积分10
6秒前
香蕉觅云应助三跳采纳,获得10
7秒前
feng发布了新的文献求助10
8秒前
烩儿完成签到 ,获得积分10
8秒前
9秒前
无名发布了新的文献求助10
10秒前
cai完成签到,获得积分10
10秒前
eason应助Du采纳,获得10
11秒前
duang完成签到,获得积分20
14秒前
15秒前
潘果果完成签到,获得积分10
15秒前
heyouxian发布了新的文献求助30
15秒前
16秒前
2024120310完成签到,获得积分20
17秒前
bingbing发布了新的文献求助10
18秒前
海洋完成签到,获得积分20
20秒前
伶俐如冰发布了新的文献求助10
20秒前
小马过河发布了新的文献求助10
21秒前
22秒前
ludong_0完成签到,获得积分10
23秒前
英俊白莲发布了新的文献求助10
23秒前
积极从蕾应助bingbing采纳,获得10
23秒前
所所应助bingbing采纳,获得10
23秒前
SciGPT应助搞怪的谷蕊采纳,获得10
23秒前
24秒前
小青应助文件撤销了驳回
25秒前
Super枫应助无名采纳,获得10
25秒前
26秒前
秋秋发布了新的文献求助30
26秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Semantics for Latin: An Introduction 1099
Biology of the Indian Stingless Bee: Tetragonula iridipennis Smith 1000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 700
Thermal Quadrupoles: Solving the Heat Equation through Integral Transforms 500
SPSS for Windows Step by Step: A Simple Study Guide and Reference, 17.0 Update (10th Edition) 500
PBSM: Predictive Bi-Preference Stable Matching in Spatial Crowdsourcing 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4127210
求助须知:如何正确求助?哪些是违规求助? 3664711
关于积分的说明 11595305
捐赠科研通 3363846
什么是DOI,文献DOI怎么找? 1848520
邀请新用户注册赠送积分活动 912411
科研通“疑难数据库(出版商)”最低求助积分说明 828020