Network Pharmacology Reveals Key Targets and Pathways of Madhuca longifolia for Potential Alzheimer's Disease Treatment

被引:1
|
作者
Khare, Noopur [1 ,2 ]
Barot, Megha [3 ]
Singh, Sachidanand [4 ]
Jain, Tanvi [1 ]
机构
[1] Shri Ramswaroop Mem Univ, Inst Biosci & Technol, Fac Biotechnol, Barabanki, Uttar Pradesh, India
[2] Bhai Gurdas Inst Engn & Technol, Sangrur, Punjab, India
[3] Parul Univ, Parul Inst Appl Sci, Dept Environm Sci, Vadodara, Gujarat, India
[4] Pandit Deendayal Energy Univ, Sch Energy & Technol, Dept Biotechnol, Gandhinagar, Gujarat, India
关键词
Madhuca longifolia; Alzheimer's disease; Network Pharmacology; Drug Discovery; GENES;
D O I
10.1007/s12013-024-01389-4
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Madhuca longifolia, commonly known as the mahua tree, has been traditionally used in medicine due to its anti-inflammatory, anti-diabetic, and antimicrobial properties. Its active compounds help in managing diabetes, alleviating cognitive impairment associated with Alzheimer's disease. Nonetheless, the exact neuroprotective mechanism of Madhuca longifolia against Alzheimer's disease remains unclear. This study looked into possible methods by which Madhuca longifolia protects against Alzheimer's disease using network pharmacology, molecular docking and molecular dynamic simulations studies. By applying pre-screening of active constituents, target prediction, Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analysis, our study found that Madhuca longifolia is related to eight active ingredients (Ascorbic acid, Riboflavin, Pantothenic acid, (4 R)-2beta,3beta,23-trihydroxy-oleana-5,12-dien-28-oic acid, Quercetin, Nicotinic acid, Bassiaic acid Thiamine) and 272 common gene targets, with significant involvement in pathways such as PI3K-Akt signaling and neuroactive ligand-receptor interaction. Network analysis demonstrated how Madhuca longifolia can prevent AD by modifying important signalling networks, which may be one of the molecular mechanisms driving the plant's effectiveness against the disease. Molecular docking studies revealed that there were robust binding abilities of Quercetin, Riboflavin and Pantothenic acid to key target proteins AKT1, JUN, and STAT3. Later, molecular dynamic simulations was done to examine the successful activity of the active compounds against potential targets, and it was found that AKT1 and AKT1-Quercetin complex became stable at 260 ps. It may be seen through the study that quercetin may act as a good inhibitor for treatment. This thorough investigation provides a strong basis for future research and development efforts by advancing our understanding of Madhuca longifolia medicinal potential in Alzheimer's disease.
引用
收藏
页码:2727 / 2746
页数:20
相关论文
共 50 条
  • [1] A network pharmacology-based study on key pharmacological pathways and targets of Qi Fu Yin acting on Alzheimer's disease
    Xiao, Qiu-yue
    Ye, Tian-yuan
    Wang, Xiao-long
    Han, Lu
    Wang, Tong-xing
    Qi, Dong-mei
    Cheng, Xiao-rui
    Wang, Sheng-qi
    EXPERIMENTAL GERONTOLOGY, 2021, 149
  • [2] Integrative analysis reveals key lysosomal genes as potential therapeutic targets in Alzheimer's disease
    Zhu, Xiangzhen
    Gao, Jingfang
    Qiu, Chao
    METABOLIC BRAIN DISEASE, 2024, 39 (07) : 1433 - 1445
  • [3] Network pharmacology identify intersection genes of quercetin and Alzheimer's disease as potential therapeutic targets
    Wei, Caihui
    Li, Shu
    Zhu, Yu
    Chen, Wenzhi
    Li, Cheng
    Xu, Renshi
    FRONTIERS IN AGING NEUROSCIENCE, 2022, 14
  • [4] Network pharmacology and metabolomics analysis of Tinospora cordifolia reveals BACE1 and MAOB as potential therapeutic targets for neuroprotection in Alzheimer's disease
    Amrutha, S.
    Abhinand, Chandran S.
    Upadhyay, Shubham Sukerndeo
    Parvaje, Ravishankar
    Prasad, Thottethodi Subrahmanya Keshava
    Modi, Prashant Kumar
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [5] Network Pharmacology Analysis of Quchiling for Alzheimer's Disease Treatment
    Xue, Xiaoyan
    Li, Huiwei
    Tong, Lingfei
    ANALYTICAL AND QUANTITATIVE CYTOPATHOLOGY AND HISTOPATHOLOGY, 2021, 43 (06): : 795 - 805
  • [6] Identification of potential targets of cinnamon for treatment against Alzheimer's disease-related GABAergic synaptic dysfunction using network pharmacology
    Qian, Dongdong
    Wang, Qixue
    Lin, Siyuan
    Li, Ying
    Gu, Xinyi
    Xia, Chenyi
    Xu, Ying
    Zhang, Ting
    Yang, Li
    Wu, Qianfu
    Sun, Jijia
    Liu, Yi
    Zhou, Mingmei
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [7] Identification of potential targets of cinnamon for treatment against Alzheimer’s disease-related GABAergic synaptic dysfunction using network pharmacology
    Dongdong Qian
    Qixue Wang
    Siyuan Lin
    Ying Li
    Xinyi Gu
    Chenyi Xia
    Ying Xu
    Ting Zhang
    Li Yang
    Qianfu Wu
    Jijia Sun
    Yi Liu
    Mingmei Zhou
    Scientific Reports, 12
  • [8] Integrated analysis and network pharmacology approaches to explore key genes of Xingnaojing for treatment of Alzheimer's disease
    Wang, Meixia
    Wang, Shouyong
    Li, Yong
    Cai, Gaomei
    Cao, Min
    Li, Lanfang
    BRAIN AND BEHAVIOR, 2020, 10 (06):
  • [9] Key network approach reveals new insight into Alzheimer's disease
    Schluesener, Jan K.
    Zhu, Xiaomei
    Schluesener, Hermann J.
    Wang, Gao-Wei
    Ao, Ping
    IET SYSTEMS BIOLOGY, 2014, 8 (04) : 169 - 175
  • [10] Neuropathologic changes in Alzheimer's disease: Potential targets for treatment
    Wenk, GL
    JOURNAL OF CLINICAL PSYCHIATRY, 2006, 67 : 3 - 7