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Background: Mitochondria play central role in cardiac energy metabolism modulations. Cardiac energy metabolism could be potential therapeutic target for the treatment of ischemic heart disease (IHD). We proposed strategy to analyze the regulation modes of astragaloside IV (AST) by targeting mitochondrial-energy-metabolism (MEM) in IHD based on transcriptome, network analysis, molecular docking (MD) and western blot (WB).
Method: IHD-associated genes and AST potential targets were collected from databases and references. MEM-related genes were obtained from MitoProteome. Cytoscape was applied to construct networks, present visualization, and conduct KEGG pathway enrichment. AST regulated energy-metabolism-associated-IHD-network (AEIN) was created, and reverse rates calculated from network analysis of transcriptome from rat myocardial infarction experiments were assigned to AEIN. Binding affinities and modes were evaluated by MD with further WB validation of targets expression.
Results: The study identified 1713 IHD-related genes, 528 MEM-related genes, and 169 potential AST target genes. 21 AST targets were obtained from AEIN, while the top three targets Akt1, ERK1/2 and RPS6KB1 showed good binding affinities with AST (-10, -9.8, -8.6 and -8.8 kcal/mol for Akt1, Erk1, Erk2 and RPS6KB1 respectively). AST reversed the decreased expressions of three targets against OGD injury of H9c2. 13 MEM-associated signaling pathways, including HIF-1, and PI3K-Akt signaling pathways, were retrieved showing certain inter-relationships both in compositions and functions.
Conclusions: AST may have coordinated roles among multi-pathways in regulating MEM homeostasis in IHD. While further deep investigations should be designed and conducted to decipher and pinpoint the multi-target, multi-pathway modes of action of AST in the future.
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http://dx.doi.org/10.1016/j.compbiomed.2023.107599 | DOI Listing |
Neurotrauma Rep
August 2025
Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China.
Accurate differentiation between persistent vegetative state (PVS) and minimally conscious state and estimation of recovery likelihood in patients in PVS are crucial. This study analyzed electroencephalography (EEG) metrics to investigate their relationship with consciousness improvements in patients in PVS and developed a machine learning prediction model. We retrospectively evaluated 19 patients in PVS, categorizing them into two groups: those with improved consciousness ( = 7) and those without improvement ( = 12).
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Thoracic Surgery, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China.
Background: Lung cancer remains the leading cause of cancer-related mortality globally, primarily due to late-stage diagnosis, molecular heterogeneity, and therapy resistance. Key biomarkers such as EGFR, ALK, KRAS, and PD-1 have revolutionized precision oncology; however, comprehensive structural and clinical validation of these targets is crucial to enhance therapeutic efficacy.
Methods: Protein sequences for EGFR, ALK, KRAS, and PD-1 were retrieved from UniProt and modeled using SWISS-MODEL to generate high-confidence 3D structures.
Front Immunol
September 2025
Department of Pediatrics, Taichung Veterans General Hospital, Taichung, Taiwan.
Introduction: Human papillomavirus (HPV) infection has been implicated in autoimmune processes, yet concerns remain about the potential autoimmune risks of HPV vaccination. Juvenile idiopathic arthritis (JIA) is a chronic autoimmune condition that typically manifests in childhood. The relationship between HPV vaccination and the development of JIA remains uncertain.
View Article and Find Full Text PDFiScience
September 2025
Max Planck Institute of Psychiatry, 80804 Munich, Germany.
Isoform-specific expression patterns have been linked to stress-related psychiatric disorders such as major depressive disorder (MDD). To further explore their involvement, we constructed co-expression networks using total gene expression (TE) and isoform ratio (IR) data from affected ( = 210, 81% with depressive symptoms) and unaffected ( = 95) individuals. Networks were validated using advanced graph generation methods.
View Article and Find Full Text PDFFront Hum Neurosci
August 2025
Baptist Medical Center, Department of Behavioral Health, Jacksonville, FL, United States.
Introduction: This study investigates four subdomains of executive functioning-initiation, cognitive inhibition, mental shifting, and working memory-using task-based functional magnetic resonance imaging (fMRI) data and graph analysis.
Methods: We used healthy adults' functional magnetic resonance imaging (fMRI) data to construct brain connectomes and network graphs for each task and analyzed global and node-level graph metrics.
Results: The bilateral precuneus and right medial prefrontal cortex emerged as pivotal hubs and influencers, emphasizing their crucial regulatory role in all four subdomains of executive function.