Transcriptome analyses of human corneal endothelial cell lines derived from patients with Fuchs endothelial corneal dystrophy

Fuchs Endothelial Corneal Dystrophy (FECD) is an age-related disorder that affects about 4% of the population over the age of 40 years and is genetically associated with CTG repeat expansion in Transcription factor-4 (TCF4) gene. Although both genetic variants as well as environmental exposures like ultraviolent-A light (UVA) have been reported to cause FECD, there are no pharmacological treatments due to the lack of understanding of disease pathogenesis. To characterize the corneal endothelial (CE) cells in FECD individuals with or without CTG repeat expansions in TCF4, we performed RNA-sequencing (RNAseq) of three normal CE cell lines and seven FECD cell lines, including 3 generated from donors with TCF4 repeat expansions (FECD-R) and 4 from non-expanded donors (FECD-NR). Analysis of transcriptomic profiles in all 7 FECD cell lines compared to normal, revealed 214 differentially expressed genes or DEGs with 193 upregulated and 21 downregulated genes. Ingenuity Pathway Analysis (IPA) detected hepatic fibrosis and endothelial-mesenchymal transition pathways as top canonical pathways, which is consistent with extracellular matrix (ECM) deposition in the form of guttae seen in FECD. We identified and further validated transcriptional regulator genes like MAFB, TFAP2B, and POU6F2 to be differentially downregulated in FECD. Furthermore, 48 common DEGs were detected in both FECD-R and FECD-NR, and their upstream regulators included β-estradiol, TGF-β1, Aryl hydrocarbon receptor (AHR), and transcription regulators like CEBPA, CEBPB and SMARCA4. There were 29 genes identified to be differentially regulated only in FECD-R, compared to normal cells. In addition, other canonical pathways like tryptophan and melatonin degradation, Wnt signaling, AHR signaling, mitochondrial dysfunction, and estrogen receptor signaling were also highly enriched in FECD. Our findings support the previously proposed underlying mechanisms of disease progression, including role of transcriptional regulation of endothelial cells, mitochondrial dysfunction, Wnt- and estrogen receptor signaling, as well as the phenotypic clinical FECD hallmark of ECM deposits. Further investigation focusing on differentially expressed genes related to these pathways may be beneficial for elucidating disease-causing mechanisms and developing novel therapies for FECD.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-26
DOI
https://doi.org/10.1038/s41598-025-26025-w
Primary Topic
Corneal surgery and disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptome analyses of human corneal endothelial cell lines derived from patients with Fuchs endothelial corneal dystrophy

Geetha Melangath, Shazia Ashraf, Stephan Ong Tone, Neha Deshpande et al.
Scientific Reports
Corneal surgery and disorders
article

Transcriptome analyses of human corneal endothelial cell lines derived from patients with Fuchs endothelial corneal dystrophy

Geetha Melangath, Shazia Ashraf, Stephan Ong Tone, Neha Deshpande, Marianne O. Price, Francis W. Price, Hanna Hui, Murat Çetinbaş, Shan Zhu, Ula V. Jurkunas
article en

Abstract

Fuchs Endothelial Corneal Dystrophy (FECD) is an age-related disorder that affects about 4% of the population over the age of 40 years and is genetically associated with CTG repeat expansion in Transcription factor-4 (TCF4) gene. Although both genetic variants as well as environmental exposures like ultraviolent-A light (UVA) have been reported to cause FECD, there are no pharmacological treatments due to the lack of understanding of disease pathogenesis. To characterize the corneal endothelial (CE) cells in FECD individuals with or without CTG repeat expansions in TCF4, we performed RNA-sequencing (RNAseq) of three normal CE cell lines and seven FECD cell lines, including 3 generated from donors with TCF4 repeat expansions (FECD-R) and 4 from non-expanded donors (FECD-NR). Analysis of transcriptomic profiles in all 7 FECD cell lines compared to normal, revealed 214 differentially expressed genes or DEGs with 193 upregulated and 21 downregulated genes. Ingenuity Pathway Analysis (IPA) detected hepatic fibrosis and endothelial-mesenchymal transition pathways as top canonical pathways, which is consistent with extracellular matrix (ECM) deposition in the form of guttae seen in FECD. We identified and further validated transcriptional regulator genes like MAFB, TFAP2B, and POU6F2 to be differentially downregulated in FECD. Furthermore, 48 common DEGs were detected in both FECD-R and FECD-NR, and their upstream regulators included β-estradiol, TGF-β1, Aryl hydrocarbon receptor (AHR), and transcription regulators like CEBPA, CEBPB and SMARCA4. There were 29 genes identified to be differentially regulated only in FECD-R, compared to normal cells. In addition, other canonical pathways like tryptophan and melatonin degradation, Wnt signaling, AHR signaling, mitochondrial dysfunction, and estrogen receptor signaling were also highly enriched in FECD. Our findings support the previously proposed underlying mechanisms of disease progression, including role of transcriptional regulation of endothelial cells, mitochondrial dysfunction, Wnt- and estrogen receptor signaling, as well as the phenotypic clinical FECD hallmark of ECM deposits. Further investigation focusing on differentially expressed genes related to these pathways may be beneficial for elucidating disease-causing mechanisms and developing novel therapies for FECD.

Scientific ReportsVol. 15(1)
Massachusetts Eye and Ear Infirmary (US), Harvard University (US), University of Toronto (CA), Cornea Research Foundation of America (US), Massachusetts General Hospital (US), Retina Associates (US), Price Vision Group (US), Sunnybrook Hospital (CA), Sunnybrook Research Institute, Smith-Kettlewell Eye Research Institute (US)
National Institutes of Health, National Eye Institute
Openalex Percentile: Top 49%
Corneal surgery and disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.