Metabolomics of Withania somnifera L. extracts by an integrated LC-MS and NMR approach and evaluation of their tyrosinase inhibitory activity

化学 索马里风 酪氨酸酶 代谢组学 色谱法 传统医学 生物化学 医学 病理 替代医学
作者
Luciana Maria Polcaro,Antonietta Cerulli,Milena Masullo,Sonia Piacente
出处
期刊:Journal of Pharmaceutical and Biomedical Analysis [Elsevier BV]
卷期号:253: 116520-116520 被引量:5
标识
DOI:10.1016/j.jpba.2024.116520
摘要

Withania somnifera L. (Solanaceae), for over 3000 years, has been considered an essential herb in Ayurvedic medicine. The roots of W. somnifera contain metabolites mainly belonging to steroidal lactones called withanolides, which possess various pharmacological activities such as neuroprotective, cardioprotective, anti-diabetic, antioxidant and anti-inflammatory. Since the demand on the market for W. somnifera extracts is increasing, with the aim to find an ecological and environmentally friendly strategy of extraction, the roots were submitted to different extraction techniques (macerations, ultrasound-assisted extraction and solid-liquid dynamic extraction) using EtOH:H2O 50:50, 75:25, 100:0. W. somnifera extracts were investigated by an integrated LC-ESI/QExactive/MS/MS and NMR approach to obtain comprehensive metabolite profiles. Principal Component Analysis of LC-MS and NMR data revealed how the extraction method and the solvent can affect the chemical profile of the extracts. Extracts obtained by maceration exhibited the highest amount of withanolides and withanosides, while the SLDE-Naviglio EtOH extract showed the highest amount of metabolites as benzoic acid, tropane alkaloids and sarcosine, reported for their CNS activity. Moreover, based on the use of this plant in the treatment of neurological disorders, the tyrosinase inhibitory activity of all the extracts was herein tested by spectrophotometric assay, showing IC50 values in a range of 32.86-85.36 µg/ml.
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
幽默孤容完成签到,获得积分10
刚刚
木牛牛马完成签到,获得积分10
1秒前
1秒前
ABC熊ABC发布了新的文献求助10
2秒前
Ice完成签到 ,获得积分20
2秒前
研友_85rMpL发布了新的文献求助10
2秒前
刘泉完成签到,获得积分10
3秒前
吕君发布了新的文献求助30
3秒前
3秒前
大模型应助zkyyy采纳,获得10
3秒前
PeaceLiu完成签到 ,获得积分10
4秒前
LGFU发布了新的文献求助10
4秒前
YHZ发布了新的文献求助10
4秒前
yang完成签到,获得积分10
4秒前
4秒前
laoliu完成签到,获得积分10
4秒前
去银行整点金条完成签到,获得积分10
4秒前
贝比东cry发布了新的文献求助10
4秒前
5秒前
5秒前
卢立欣完成签到,获得积分20
6秒前
6秒前
741发布了新的文献求助20
6秒前
7秒前
刘泉发布了新的文献求助10
7秒前
7秒前
123456发布了新的文献求助10
7秒前
Lucas应助含糊的寄柔采纳,获得10
8秒前
酷波er应助biao萨法尔采纳,获得10
8秒前
9秒前
赵荣发布了新的文献求助10
9秒前
9秒前
粉红色泡泡完成签到,获得积分10
9秒前
充电宝应助周小鱼采纳,获得10
9秒前
唐啸发布了新的文献求助10
9秒前
科研通AI2S应助安宁采纳,获得10
9秒前
10秒前
10秒前
苦逼的科研汪完成签到,获得积分10
10秒前
洁净灵萱发布了新的文献求助10
10秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7248622
求助须知:如何正确求助?哪些是违规求助? 8871430
关于积分的说明 18718325
捐赠科研通 6927791
什么是DOI,文献DOI怎么找? 3198471
关于科研通互助平台的介绍 2373952
邀请新用户注册赠送积分活动 2173173