Combining LC-MS/MS profiles with network pharmacology to predict molecular mechanisms of the hyperlipidemic activity of Lagenaria siceraria stand

葫芦属 药理学 毛茛科 化学 木犀草素 体内 橙皮苷 传统医学 槲皮素 生物化学 医学 生物 抗氧化剂 植物 替代医学 生物技术 病理
作者
Subhadip Banerjee,Amrendra Kumar Tiwari,Amit Kar,Joydeb Chanda,Sayan Biswas,Gudrun Ulrich-Merzenich,Pulok K. Mukherjee
出处
期刊:Journal of Ethnopharmacology [Elsevier]
卷期号:300: 115633-115633 被引量:19
标识
DOI:10.1016/j.jep.2022.115633
摘要

Lagenaria siceraria Stand. (Family: Cucurbitaceae), popularly known as bottle gourd, is traditionally used in Ayurvedic medicine as a food plant, especially in hypertension and obesity.Investigations were undertaken to assign novel lead combinations from this common food plant to multi-molecular modes of actions in the complex disease networks of obesity and hypertension. LC-MS/MS based metabolite screening, in-vivo high fat diet induced hyperlipidemia animal study and network pharmacology explorations of the mechanism of action for lipid lowering effects including a neighbourhood community approach for molecular combinations were performed.Major chemical constituents of the fruits of LS (LSFE) were analysed by HPLC-DAD-MS/MS-QTOF. Wistar albino rats (n = 36), divided into 6 groups (n = 6) received either no treatment or a high-fat diet along with LSFE or Atorvastatin. Lipid profiles and biochemical parameters were evaluated. In silico cross-validated network analyses using different databases and Cytospace were applied.Profiling of LSFE revealed 18 major constituents: phenolic acids like p-Coumaric acid and Ferulic acid, the monolignolconferyl alcohol, the flavonoid glycosides hesperidin and apigenin-7-glucoside. Hyperlipidemic animals treated with LSFE (200 mg/kg, 400 mg/kg, 600 mg/kg) showed a significant improvement of their lipid profiles after 30 days of treatment. Network pharmacology analyses for the major 18 compounds revealed enrichment of the insulin and the ErbB signalling pathway. Novel target node combinations (e.g. AKR1C1, AGXT) including their connection to different pathways were identified in silico.The combined in vivo and bioinformatics analyses propose that lead compounds of LSFE act in combination on relevant targets of hyperlipidemia. Perturbations of the IRS→Akt→Foxo1 cascade are predicted which suggest further clinical investigation towards development of safe natural alternative to manage hyperlipidemia.
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
奋斗的夏柳完成签到 ,获得积分10
1秒前
小猫咪发布了新的文献求助200
1秒前
sunyexuan发布了新的文献求助10
1秒前
鲸鱼姐姐完成签到 ,获得积分10
2秒前
2秒前
alho完成签到 ,获得积分10
2秒前
仄兀发布了新的文献求助10
2秒前
2秒前
Rrrr完成签到,获得积分10
3秒前
3秒前
Tan完成签到 ,获得积分10
3秒前
晚风完成签到,获得积分20
4秒前
4秒前
情怀应助平淡的蜻蜓采纳,获得10
4秒前
复杂觅海完成签到 ,获得积分10
4秒前
JUSTs0so发布了新的文献求助10
5秒前
6秒前
6秒前
毛慢慢发布了新的文献求助30
6秒前
123完成签到,获得积分10
6秒前
DTT完成签到,获得积分10
7秒前
SciGPT应助单薄白薇采纳,获得10
7秒前
jiayueiyang完成签到,获得积分10
7秒前
英俊的铭应助dingdong采纳,获得10
8秒前
情怀应助dingdong采纳,获得10
8秒前
8秒前
安静发布了新的文献求助10
9秒前
丰知然应助清新的冷松采纳,获得10
9秒前
我是老大应助时尚语梦采纳,获得10
10秒前
10秒前
小余发布了新的文献求助10
10秒前
NexusExplorer应助见雨鱼采纳,获得10
10秒前
yigu完成签到 ,获得积分20
10秒前
ding应助starcatcher采纳,获得10
11秒前
Ll发布了新的文献求助10
11秒前
赘婿应助最最最采纳,获得10
11秒前
田様应助夜白采纳,获得20
12秒前
AaronW完成签到,获得积分10
12秒前
英俊的铭应助科研通管家采纳,获得10
12秒前
大模型应助科研通管家采纳,获得10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527742
求助须知:如何正确求助?哪些是违规求助? 3107867
关于积分的说明 9286956
捐赠科研通 2805612
什么是DOI,文献DOI怎么找? 1540026
邀请新用户注册赠送积分活动 716884
科研通“疑难数据库(出版商)”最低求助积分说明 709762