Keyword search (4,163 papers available)

"Dopamine" Keyword-tagged Publications:

Title Authors PubMed ID
1 Dopamine inhibits excitatory synaptic responses in layer I of the rat parasubiculum Carter F; Hobishi H; Chapman CA; 40818632
PSYCHOLOGY
2 Insights into dietary phytochemicals targeting Parkinson's disease key genes and pathways: A network pharmacology approach Sasikumar DSN; Thiruselvam P; Sundararajan V; Ravindran R; Gunasekaran S; Madathil D; Kaliamurthi S; Peslherbe GH; Selvaraj G; Sudhakaran SL; 38460310
CHEMBIOCHEM
3 Dopamine dysregulation in Parkinson's disease flattens the pleasurable urge to move to musical rhythms Pando-Naude V; Matthews TE; Højlund A; Jakobsen S; Østergaard K; Johnsen E; Garza-Villarreal EA; Witek MAG; Penhune V; Vuust P; 37724707
PSYCHOLOGY
4 Behavioral, Neural, and Molecular Mechanisms of Conditioned Mate Preference: The Role of Opioids and First Experiences of Sexual Reward Gonzalo R Quintana 36012194
PSYCHOLOGY
5 The Convergence Model of Brain Reward Circuitry: Implications for Relief of Treatment-Resistant Depression by Deep-Brain Stimulation of the Medial Forebrain Bundle Pallikaras V; Shizgal P; 35431828
PSYCHOLOGY
6 The rodent medial prefrontal cortex and associated circuits in orchestrating adaptive behavior under variable demands Howland JG; Ito R; Lapish CC; Villaruel FR; 35131398
PSYCHOLOGY
7 The trade-off between pulse duration and power in optical excitation of midbrain dopamine neurons approximates Bloch's law Pallikaras V; Carter F; Velazquez-Martinez DN; Arvanitogiannis A; Shizgal P; 34864162
PSYCHOLOGY
8 Anxiety-like behavior in female mice is modulated by STAT3 signaling in midbrain dopamine neurons Fernandes MF; Lau D; Sharma S; Fulton S; 33872705
CSBN
9 Neural substrates of appetitive and aversive prediction error. Iordanova MD, Yau JO, McDannald MA, Corbit LH 33453307
CSBN
10 Cue-Evoked Dopamine Neuron Activity Helps Maintain but Does Not Encode Expected Value. Mendoza JA, Lafferty CK, Yang AK, Britt JP 31693885
CSBN
11 High estrogen and chronic haloperidol lead to greater amphetamine-induced BOLD activation in awake, amphetamine-sensitized female rats. Madularu D, Kulkarni P, Yee JR, Kenkel WM, Shams WM, Ferris CF, Brake WG 27154458
CSBN
12 Ventral Midbrain NMDA Receptor Blockade: From Enhanced Reward and Dopamine Inactivation. Hernandez G, Cossette MP, Shizgal P, Rompré PP 27616984
PSYCHOLOGY
13 Neurotensin in the nucleus accumbens reverses dopamine supersensitivity evoked by antipsychotic treatment. Servonnet A, Minogianis EA, Bouchard C, Bédard AM, Lévesque D, Rompré PP, Samaha AN 28522313
CSBN
14 Microbial Factories for the Production of Benzylisoquinoline Alkaloids. Narcross L, Fossati E, Bourgeois L, Dueber JE, Martin VJJ 26775900
BIOLOGY
15 Posterior dopamine D2/3 receptors and brain network functional connectivity. Nagano-Saito A, Lissemore JI, Gravel P, Leyton M, Carbonell F, Benkelfat C 28700819
PERFORM

 

Title:Insights into dietary phytochemicals targeting Parkinson's disease key genes and pathways: A network pharmacology approach
Authors:Sasikumar DSNThiruselvam PSundararajan VRavindran RGunasekaran SMadathil DKaliamurthi SPeslherbe GHSelvaraj GSudhakaran SL
Link:https://pubmed.ncbi.nlm.nih.gov/38460310/
DOI:10.1016/j.compbiomed.2024.108195
Publication:Computers in biology and medicine
Keywords:BaicaleinCREBBPDopaminergic neuronsEP300ERK2MAPK1MD simulationsNetwork pharmacologyParkinson's diseaseRasagiline
PMID:38460310 Category: Date Added:2024-03-10
Dept Affiliation: CHEMBIOCHEM
1 Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN, 632014, India.
2 Department of Biotechnology, Indian Institute of Technology (Madras), Chennai, TN, 600036, India.
3 Department of Biotechnology, Dwaraka Doss Goverdhan Doss Vaishnav College, Chennai, TN, 600106, India.
4 Jindal Institute of Behavioral Sciences, O.P Jindal Global University, Sonipat, Haryana, 131001, India.
5 Centre for Research in Molecular Modeling (CERMM), Department of Chemistry and Biochemistry, Concordia University, Loyola Campus, Montreal, QC, H4B 1R6, Canada.
6 Centre for Research in Molecular Modeling (CERMM), Department of Chemistry and Biochemistry, Concordia University, Loyola Campus, Montreal, QC, H4B 1R6, Canada; Bioinformatics Unit, Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS) University, Chennai, TN, 600077, India. Electronic address: gurudeeban.selvaraj@concordia.ca.
7 Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN, 632014, India. Electronic address: ssajithalulu@vit.ac.in.

Description:

Parkinson's disease (PD) is a complex neurological disease associated with the degeneration of dopaminergic neurons. Oxidative stress is a key player in instigating apoptosis in dopaminergic neurons. To improve the survival of neurons many dietary phytochemicals have gathered significant attention recently. Thus, the present study implements a comprehensive network pharmacology approach to unravel the mechanisms of action of dietary phytochemicals that benefit disease management. A literature search was performed to identify ligands (i.e., comprising dietary phytochemicals and Food and Drug Administration pre-approved PD drugs) in the PubMed database. Targets associated with selected ligands were extracted from the search tool for interactions of chemicals (STITCH) database. Then, the construction of a gene-gene interaction (GGI) network, analysis of hub-gene, functional and pathway enrichment, associated transcription factors, miRNAs, ligand-target interaction network, docking were performed using various bioinformatics tools together with molecular dynamics (MD) simulations. The database search resulted in 69 ligands and 144 unique targets. GGI and subsequent topological measures indicate histone acetyltransferase p300 (EP300), mitogen-activated protein kinase 1 (MAPK1) or extracellular signal-regulated kinase (ERK)2, and CREB-binding protein (CREBBP) as hub genes. Neurodegeneration, MAPK signaling, apoptosis, and zinc binding are key pathways and gene ontology terms. hsa-miR-5692a and SCNA gene-associated transcription factors interact with all the 3 hub genes. Ligand-target interaction (LTI) network analysis suggest rasagiline and baicalein as candidate ligands targeting MAPK1. Rasagiline and baicalein form stable complexes with the Y205, K330, and V173 residues of MAPK1. Computational molecular insights suggest that baicalein and rasagiline are promising preclinical candidates for PD management.





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