ArticleNutrients2024
Investigating the Molecular Mechanisms of Resveratrol in Treating Cardiometabolic Multimorbidity: A Network Pharmacology and Bioinformatics Approach with Molecular Docking Validation.
Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Elucidating the beneficial effects of gut microbiota-derived metabolites in treating hepatocellular carcinoma: an integrated network pharmacology, molecular docking, and single-cell sequencing analysis.Bioresources and bioprocessing · 2026Article
- Exploring the mechanisms of baicalin in diabetic cardiomyopathy: Insights from network pharmacology and experimental validation.Biomedical reports · 2026Article
- TRIM24 Impediment suppresses VSMC modulation and attenuates neointimal hyperplasia via redox and autophagy pathways.Molecular biology reports · 2026Article
- Integrated Single-Nucleus Multi-Omics Atlases Reveal Lineage Plasticity and Regulatory Networks of Luminal Epithelial Cells During Mammary Gland Lactation and Involution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Molecular and Analytical Understanding of Resveratrol Interactions for Advanced Biotechnological Applications.Molecules (Basel, Switzerland) · 2026Review
- Resveratrol and Redox Regulation in Cardiovascular Disease Across the Life Course: Mechanistic and Translational Perspectives.Antioxidants (Basel, Switzerland) · 2026Review
- Multi-target modulation of the homologous recombination pathway by resveratrol promotes DNA damage repair in POI: integrated network pharmacology, molecular dynamics simulation, and experimental validation.International journal of surgery (London, England) · 2026Article
- Integrated Molecular Docking and Dynamic Simulations Reveal Glycyrrhizic Acid Alleviates Allergic Rhinitis in Rats by Inhibiting the TLR4/NF-κB/IL-1β Pathway.Journal of immunology research · 2026Article
- Cellular Immunity in Obesity: Pathophysiological Insights and the Impact of Bariatric Surgery.International journal of molecular sciences · 2025Review
- Effects of Resveratrol Derivatives on Melanogenesis and Antioxidant Activity in B16F10 Cells.International journal of molecular sciences · 2025Article
- Therapeutic Target Discovery for Multiple Myeloma: Identifying Druggable Genes via Mendelian Randomization.Biomedicines · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundResveratrol is a potent phytochemical known for its potential in treating cardiometabolic multimorbidity. However, its underlying mechanisms remain unclear. Our study systematically investigates the effects of resveratrol on cardiometabolic multimorbidity and elucidates its mechanisms using network pharmacology and molecular docking techniques.
methodsWe screened cardiometabolic multimorbidity-related targets using the OMIM, GeneCards, and DisGeNET databases, and utilized the DSigDB drug characterization database to predict resveratrol's effects on cardiometabolic multimorbidity. Target identification for resveratrol was conducted using the TCMSP, SymMap, DrugBank, Swiss Target Prediction, CTD, and UniProt databases. SwissADME and ADMETlab 2.0 simulations were used to predict drug similarity and toxicity profiles of resveratrol. Protein-protein interaction (PPI) networks were constructed using Cytoscape 3.9.1 software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses were performed via the DAVID online platform, and target-pathway networks were established. Molecular docking validated interactions between core targets and resveratrol, followed by molecular dynamics simulations on the optimal core proteins identified through docking. Differential analysis using the GEO dataset validated resveratrol as a core target in cardiometabolic multimorbidity.
resultsA total of 585 cardiometabolic multimorbidity target genes were identified, and the predicted results indicated that the phytochemical resveratrol could be a major therapeutic agent for cardiometabolic multimorbidity. SwissADME simulations showed that resveratrol has potential drug-like activity with minimal toxicity. Additionally, 6703 targets of resveratrol were screened. GO and KEGG analyses revealed that the main biological processes involved included positive regulation of cell proliferation, positive regulation of gene expression, and response to estradiol. Significant pathways related to MAPK and PI3K-Akt signaling pathways were also identified. Molecular docking and molecular dynamics simulations demonstrated strong interactions between resveratrol and core targets such as MAPK and EGFR.
conclusionsThis study predicts potential targets and pathways of resveratrol in treating cardiometabolic multimorbidity, offering a new research direction for understanding its molecular mechanisms. Additionally, it establishes a theoretical foundation for the clinical application of resveratrol.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.