Cross-disease transcriptomic analysis reveals DOK3 and PAPOLA as therapeutic targets for neuroinflammatory and tumorigenic processes DOI Creative Commons
Xingqiao Wang,

Yusong Bian,

Wei-Guang Chen

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 12, 2024

Objective Subarachnoid hemorrhage (SAH) and tumorigenesis share numerous biological complexities; nevertheless, the specific gene expression profiles underlying mechanisms remain poorly understood. This study aims to identify differentially expressed genes (DEGs) that could serve as biomarkers for diagnosis prognosis. Methods Gene datasets (GSE122063, GSE13353, GSE161870) were analyzed using machine learning algorithms logistic regression DEGs associated with both SAH tumorigenesis. Lasso receiver operating characteristic (ROC) curve analysis employed evaluate classification accuracy of these genes. Validation critical was performed through pan-cancer experimental studies, focusing on role DOK3 in modulating inflammation oxidative stress U251MG glioblastoma BV2 microglia cells. Results Fifteen common identified, PAPOLA highlighted crucial implicated neurodegenerative processes. Experimental validation demonstrated overexpression significantly reduced pro-inflammatory cytokine levels markers while enhancing antioxidant enzyme activity. Additionally, influenced tumorigenic processes such apoptosis, cell cycle regulation, proliferation, effectively mitigating LPS-induced cytotoxicity microglial Conclusions play roles related neurodegeneration, presenting themselves potential prognostic therapeutic targets. Notably, exhibits an antitumor agent anti-inflammatory antioxidative properties, offering benefits cancer neuroinflammatory conditions.

Language: Английский

ceRNA networks in ischemic stroke: a bibliometric analysis DOI Creative Commons
Loo Keat Wei, Lyn R. Griffiths, Trygve O. Tollefsbol

et al.

Egyptian Journal of Medical Human Genetics, Journal Year: 2025, Volume and Issue: 26(1)

Published: March 22, 2025

Abstract Background and method Ischemic stroke, a leading cause of death disability worldwide, has been increasingly linked to ceRNA networks, which regulate neuronal damage recovery. Despite growing interest, comprehensive bibliometric analysis ceRNA’s role in stroke remains limited. This study examines the research landscape, key trends, future directions using Bibliometrix R package, VOSviewer, CiteSpace. (Biblioshiny) was used analyze growth, author productivity, global collaboration. VOSviewer facilitated network visualization co-occurrence, co-citation, bibliographic coupling analyses, while CiteSpace identified emerging trends contributors through citation burst thematic clustering. Results Our revealed rapid surge ceRNA-related ischemic from 2018 2024, with China output collaborations. Co-citation three major clusters: circRNAs autophagy, lncRNAs within hypothesis, complexity networks middle cerebral artery occlusion. Bibliographic highlighted five domains: lncRNA- circRNA-mediated neurovascular injury, epigenetic regulation, immune pathogenesis, highlighting their pivotal mechanisms therapeutic strategies. Molecular Medicine Reports ranked as most influential journal, Fudan University led institutional contributions. Thematic mapping inflammation biomarkers frontiers, suggesting potential novel targets. Conclusion provides potential. The increasing focus on inflammation, reflects shift toward precision medicine innovative interventions. These findings establish foundation for molecular diagnostics targeted therapies, bridging gap between clinical practice.

Language: Английский

Citations

1
Interaction between post-tumor inflammation and vascular smooth muscle cell dysfunction in sepsis-induced cardiomyopathy DOI Creative Commons
Rui Liu, Lina Jia, Yu Lin

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: April 10, 2025

Sepsis-induced cardiomyopathy (SIC) presents a critical complication in cancer patients, contributing notably to heart failure and elevated mortality rates. While its clinical relevance is well-documented, the intricate molecular mechanisms that link sepsis, tumor-driven inflammation, cardiac dysfunction remain inadequately explored. This study aims elucidate interaction between post-tumor intratumor heterogeneity, of VSMC SIC, as well evaluate therapeutic potential exercise training specific pharmacological interventions. Transcriptomic data from NCBI GEO databases were analyzed identify differentially expressed genes (DEGs) associated with SIC. Weighted gene co-expression network analysis (WGCNA), ontology (GO), KEGG pathway enrichment analyses utilized biological significance these genes. Molecular docking dynamics simulations used investigate drug-target interactions, immune infiltration mutation carried out by means platforms like TIMER 2.0 DepMap comprehend influence DVL1 on responsiveness. Through utilization datasets, we discovered core exhibited remarkable up-regulated expression both SIC diverse kinds cancers, which poor prognosis inflammatory responses. revealed Digoxin could bind reduce oxidative stress The module related was identified WGCNA, demonstrated distinctive cell patterns impact immunotherapeutic resistance. regulator other cancers and, therefore, can serve target. present suggests targeted therapies enhance response regimens may be novel tool during particularly patients. drugs, Digoxin, require further vivo studies confirm their effects efforts improve outcomes immunotherapy-resistant

Language: Английский

Citations

0
Electroacupuncture reduces inflammatory damage following cerebral ischemia–reperfusion by enhancing ABCA1-mediated efferocytosis in M2 microglia DOI Creative Commons

Yu-sha Liao,

Tie-chun Zhang,

Yu-Qi Tang

et al.

Molecular Brain, Journal Year: 2024, Volume and Issue: 17(1)

Published: Sept. 2, 2024

Language: Английский

Citations

3
AH-6809 mediated regulation of lung adenocarcinoma metastasis through NLRP7 and prognostic analysis of key metastasis-related genes DOI Creative Commons
Feng Xu, Wei Wu, Feifei Liu

et al.

Frontiers in Pharmacology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 4, 2024

Lung adenocarcinoma (LUAD) has become one of the leading causes cancer-related deaths globally, with metastasis representing most lethal stage disease. Despite significant advances in diagnostic and therapeutic strategies for LUAD, mechanisms enabling cancer cells to breach blood-brain barrier remain poorly understood. While genomic profiling shed light on nature primary tumors, genetic drivers clinical relevance LUAD are still largely unexplored.

Language: Английский

Citations

0
Efferocytosis: A new therapeutic target for stroke DOI Creative Commons
Li Gao,

Anatol Manaenko,

Feng Zeng

et al.

Chinese Medical Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 12, 2024

Abstract Efferocytosis refers to the process that phagocytes recognize and remove apoptotic cells, which is essential for maintaining tissue homeostasis both in physiological pathological conditions. Numerous studies have demonstrated efferocytosis can prevent secondary necrosis proinflammatory factor release, leading resolution of inflammation immunological tolerance numerous diseases such as stroke. Stroke a cause death morbidity adults worldwide. Persistent triggered by dead cells or cell debris major contributor post-stroke brain damage. Effective might be an efficient strategy minimize restore neuronal regeneration function recovery. In this review, we will discuss brain, molecular mechanisms underlying efferocytosis, role resolution, potential therapeutic applications targeting

Language: Английский

Citations

0
Cross-disease transcriptomic analysis reveals DOK3 and PAPOLA as therapeutic targets for neuroinflammatory and tumorigenic processes DOI Creative Commons
Xingqiao Wang,

Yusong Bian,

Wei-Guang Chen

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 12, 2024

Objective Subarachnoid hemorrhage (SAH) and tumorigenesis share numerous biological complexities; nevertheless, the specific gene expression profiles underlying mechanisms remain poorly understood. This study aims to identify differentially expressed genes (DEGs) that could serve as biomarkers for diagnosis prognosis. Methods Gene datasets (GSE122063, GSE13353, GSE161870) were analyzed using machine learning algorithms logistic regression DEGs associated with both SAH tumorigenesis. Lasso receiver operating characteristic (ROC) curve analysis employed evaluate classification accuracy of these genes. Validation critical was performed through pan-cancer experimental studies, focusing on role DOK3 in modulating inflammation oxidative stress U251MG glioblastoma BV2 microglia cells. Results Fifteen common identified, PAPOLA highlighted crucial implicated neurodegenerative processes. Experimental validation demonstrated overexpression significantly reduced pro-inflammatory cytokine levels markers while enhancing antioxidant enzyme activity. Additionally, influenced tumorigenic processes such apoptosis, cell cycle regulation, proliferation, effectively mitigating LPS-induced cytotoxicity microglial Conclusions play roles related neurodegeneration, presenting themselves potential prognostic therapeutic targets. Notably, exhibits an antitumor agent anti-inflammatory antioxidative properties, offering benefits cancer neuroinflammatory conditions.

Language: Английский

Citations

0