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Dataset on transcriptome profiling of corneal endothelium from patients with Fuchs endothelial corneal dystrophy.

ABSTRACT: Fuchs endothelial corneal dystrophy (FECD) is a bilateral inherited eye disease with advanced forms only treatable by corneal transplantation. The pathogenesis of FECD has not been worked out yet, however, trinucleotide repeat polymorphism CTG18.1 in the TCF4 gene has recently been associated with late-onset FECD. Gene expression profiling of corneal endothelium with and without this expansion can help elucidate molecular mechanisms of the disease development. Current data article represents whole transcriptome profiles of corneal endothelium obtained from 12 patients with FECD and 6 control tissues from eye bank donors. RNA sequencing data is available at NCBI Sequence Read Archive under Accession No. PRJNA524323. In addition, each patient and donor were genotyped for CTG18.1 expansion and the corresponding numbers of CTG repeats in the TCF4 gene are provided within this article. The dataset includes samples from FECD patients both with and without CTG18.1 expansion.

SUBMITTER: Nikitina AS

PROVIDER: S-EPMC6558234 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Dataset on transcriptome profiling of corneal endothelium from patients with Fuchs endothelial corneal dystrophy.

Nikitina Anastasia S AS Belodedova Alexandra V AV Malyugin Boris E BE Sharova Elena I EI Kostryukova Elena S ES Larin Andrey K AK Veselovsky Vladimir A VA Antonova Olga P OP Skorodumova Liubov O LO

Data in brief 20190523

Fuchs endothelial corneal dystrophy (FECD) is a bilateral inherited eye disease with advanced forms only treatable by corneal transplantation. The pathogenesis of FECD has not been worked out yet, however, trinucleotide repeat polymorphism CTG18.1 in the TCF4 gene has recently been associated with late-onset FECD. Gene expression profiling of corneal endothelium with and without this expansion can help elucidate molecular mechanisms of the disease development. Current data article represents who ...[more]

PMID: 31205988

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Project description:Purpose To develop a model to predict corneal improvement after Descemet membrane endothelial keratoplasty (DMEK) for Fuchs endothelial corneal dystrophy (FECD) from Scheimpflug tomography. Design Cross-sectional study. Participants Forty-eight eyes (derivation group) and 45 eyes (validation group) with a range of severity of FECD undergoing DMEK. Methods Scheimpflug images were obtained before and after DMEK. Before DMEK, pachymetry map and posterior elevation map patterns were quantified by a special image analysis program measuring tomographic features of edema (loss of regular isopachs, displacement of the thinnest point of the cornea, posterior surface depression). Image-derived novel parameters were combined with instrument-derived parameters, and the relative influences of parameters associated with the change in central corneal thickness (CCT) after DMEK in the derivation group were determined by using a gradient boosting machine learning model. The parameters with highest relative influence were then fit in a linear regression model. The derived model was applied to the validation group. Correlations and agreement were assessed between predicted and observed changes in CCT. Main Outcome Measures Predictive power (R2) and mean difference between predicted and observed change in CCT. Results The gradient boosting machine model identified 4 novel parameters of isopach circularity and eccentricity and 1 instrument-derived parameter (posterior surface radius); preoperative CCT was a poor predictor. In the derivation group, the model strongly predicted the change in CCT after DMEK (R2 = 0.80; 95% confidence interval [CI], 0.71–0.89) and the mean difference between predicted and observed change was, by definition, 0 μm. When the same 5 parameters were fit to the validation group, the model performed very highly (R2 = 0.89; 95% CI, 0.84–0.94). When the coefficient estimates from the derivation model were used to predict the change in CCT in the validation group, the predictive power was also high (R2 = 0.78; 95% CI, 0.68–0.88), and the mean difference was 4 μm (predicted minus observed). Conclusions Scheimpflug tomography maps of corneas with FECD can predict the improvement in CCT after DMEK, independent of preoperative corneal thickness measurement. The model could be applied in clinical practice or for clinical research of FECD.

Dataset Information

Dataset on transcriptome profiling of corneal endothelium from patients with Fuchs endothelial corneal dystrophy.

Publications

Dataset on transcriptome profiling of corneal endothelium from patients with Fuchs endothelial corneal dystrophy.

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