Anatomical Region-Specific Transcriptomic Signatures and the Role of Epithelial Cells in Pterygium Inflammation: A Multi-Omics Analysis DOI Creative Commons
Chen Song, Seokho Myung,

H.J. Cho

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

Background: The anatomy of pterygium consists the head, neck, and body. Prior studies have examined three parts collectively, yet treatment methods their success rates differ based on anatomical characteristics. In this study, we divide tissue into Main (head neck) Acc (body) to investigate its pathogenesis across regions. Purposes: This study aims understand identify potential therapeutic targets pterygium. Through a robust multi-omics analysis bulk single-cell RNA sequencing (RNA-seq) data from patients, focus expression inflammatory mitochondrial energy pathways genes responsible for upregulated in Methods: We collected RNA-seq six patients two patients. then investigated pathway enrichment, correlation, differential gene expressions, protein-protein interactions, cell-cell communications Results: From data, distribution sample points principal component plot enriched Gene Ontology showed distinct patterns group compared control groups. suggested need separate regions within samples utilize differences between groups that could not capture. annotation integrated revealed cluster epithelial cells containing only samples. Cells exhibited significant contributions ANGPTL, IL1, KLK signaling networks communication analysis. also observed upregulation related stress response renin-angiotensin-aldosterone system, both which high correlations with metabolism pathways. Significant changes multiple pro-inflammatory, antioxidant, immune-related were identified. Conclusion: different suggest consider separately future Additionally, role play inflammation presents clinical approach disease.

Language: Английский

Investigating immune cell infiltration and gene expression features in pterygium pathogenesis DOI Creative Commons

Yang Ji,

Yanan Chen,

Chenyan Fang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 17, 2025

Pterygium is a prevalent ocular disease characterized by abnormal conjunctival tissue proliferation, significantly impacting patients' quality of life. However, the underlying molecular mechanisms driving pterygium pathogenesis remain inadequately understood. This study aimed to investigate gene expression changes following excision and their association with immune cell infiltration. Clinical samples adjacent relaxed were collected for transcriptomic analysis using RNA sequencing combined bioinformatics approaches. Machine learning algorithms, including LASSO, SVM-RFE, Random Forest, employed identify potential diagnostic biomarkers. GO, KEGG, GSEA, GSVA utilized enrichment analysis. Single-sample GSEA was analyze The GSE2513 GSE51995 datasets from GEO database, along clinical samples, selected validation Differentially expressed genes (DEGs) identified PRJNA1147595 datasets, revealing 2437 DEGs 172 differentially regulated (DRGs), respectively. There 52 co-DEGs shared both four candidate biomarkers (FN1, SPRR1B, SERPINB13, EGR2) value through machine algorithms. demonstrated increased Th2 infiltration decreased CD8 + T presence in tissues, suggesting crucial role microenvironment pathogenesis. Analysis dataset qPCR results revealed higher levels FN1 SPRR1B tissues compared but SERPINB13 EGR2 not statistically significant. Furthermore, we drugs targeting two feature SPRR1B. provides valuable insights into characteristics pterygium. identification highlights significance lays foundation further exploration at integrating these findings practice.

Language: Английский

Citations

0
Effects of Fluconazole on Oxidative Stress and Cellular Well-being in Erythrocytes DOI

Muhammad Sikandar,

Maham Abdul Bari Khan, Kashif Jilani

et al.

Biochemical and Biophysical Research Communications, Journal Year: 2025, Volume and Issue: unknown, P. 152006 - 152006

Published: May 1, 2025

Language: Английский

Citations

0
Molecular mechanisms of diabetic nephropathy: A narrative review DOI
Tian Sun,

Yina Guo,

Yanting Su

et al.

Cell Biology International, Journal Year: 2024, Volume and Issue: 48(9), P. 1240 - 1253

Published: June 30, 2024

Abstract Diabetic nephropathy (DN) is the predominant secondary resulting in global end‐stage renal disease. It attracting significant attention both domestic and international research due to its widespread occurrence, fast advancement, limited choices for prevention treatment. The pathophysiology of this condition intricate involves multiple molecular cellular pathways at various levels. This article provides a concise overview processes involved development DN. discusses factors, such as signaling pathways, cytokines, inflammatory responses, oxidative stress, damage, autophagy, epigenetics. aim offer clinicians valuable reference DN's diagnosis, treatment, intervention.

Language: Английский

Citations

2
Anatomical Region-Specific Transcriptomic Signatures and the Role of Epithelial Cells in Pterygium Inflammation: A Multi-Omics Analysis DOI Creative Commons
Chen Song, Seokho Myung,

H.J. Cho

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

Background: The anatomy of pterygium consists the head, neck, and body. Prior studies have examined three parts collectively, yet treatment methods their success rates differ based on anatomical characteristics. In this study, we divide tissue into Main (head neck) Acc (body) to investigate its pathogenesis across regions. Purposes: This study aims understand identify potential therapeutic targets pterygium. Through a robust multi-omics analysis bulk single-cell RNA sequencing (RNA-seq) data from patients, focus expression inflammatory mitochondrial energy pathways genes responsible for upregulated in Methods: We collected RNA-seq six patients two patients. then investigated pathway enrichment, correlation, differential gene expressions, protein-protein interactions, cell-cell communications Results: From data, distribution sample points principal component plot enriched Gene Ontology showed distinct patterns group compared control groups. suggested need separate regions within samples utilize differences between groups that could not capture. annotation integrated revealed cluster epithelial cells containing only samples. Cells exhibited significant contributions ANGPTL, IL1, KLK signaling networks communication analysis. also observed upregulation related stress response renin-angiotensin-aldosterone system, both which high correlations with metabolism pathways. Significant changes multiple pro-inflammatory, antioxidant, immune-related were identified. Conclusion: different suggest consider separately future Additionally, role play inflammation presents clinical approach disease.

Language: Английский

Citations

0