Purpose: A reliable experimental measurement of endothelial cell (EC) viability is paramount in the assessment of new drugs, devices, and surgical processes liable to damage the corneal endothelium, as well as during endothelial bioengineering. We previously used triple Hoechst–Ethidium–Calcein-AM labeling coupled with image analysis to determine the viability and mortality of ECs on the whole cornea, thus defining the new notion of viable EC density. To make it accessible to all, and for improved reproducibility, we have now developed an ImageJ plugin with improved thresholding algorithms. Methods: The CorneaJ plugin comprised contrast improvement, regional selection of pixels with similar gray levels, simplified thresholding facilitated by a user-friendly images display, and the option of manual touch-up to increase accuracy. After Hoechst–Ethidium–Calcein-AM labeling, the endothelium of 10 human corneas was observed with a fluorescent microscope with motorized stage. The performance of CorneaJ was compared with standard manual thresholding: accuracy was determined by comparison with fully manual selection of viable ECs by an expert; and reproducibility, by calculating the intraclass coefficient and coefficient of variation (100 × SD/mean) of 7 independent observers. Results: CorneaJ was more accurate than the standard thresholding, with a deviation from the expected value of −1.8% [95% confidence interval (CI), −2.7 to −0.9] versus 6.0% (95% CI, 2.8–9.3), respectively, P < 0.001. It was also more reproducible, with an intraclass coefficient of 0.98 (95% CI, 0.954–0.994) versus 0.81 (95% CI, 0.628–0.937) and a mean coefficient of variation of 2.6 (1.4–7.4) and 5.7 (3.4–19.8), P = 0.005. Conclusions: CorneaJ is a new, fast, and reproducible free image analysis tool that could help standardize experimental measurement of corneal EC viability.

Evaluating lipid profiles in human tissues and biofluids is critical in identifying lipid metabolites in dysregulated metabolic pathways. Due to various chemical characteristics, single-run lipid analysis has not yet been documented. Such approach is essential for analyzing pathology-related lipid metabolites. Age-related macular degeneration, the leading cause of vision loss in western countries, is emblematic of this limitation. Several studies have identified alterations in individual lipids but the majority are based on targeted approaches. In this study, we analyzed and identified approximately 500 lipid species in human biofluids (plasma and erythrocytes) and ocular tissues (retina and retinal pigment epithelium) using the complementarity of hydrophilic interaction liquid chromatography (HILIC) and reversed-phase chromatography (RPC), coupled to high-resolution mass spectrometry. For that, lipids were extracted from human eye globes and blood from 10 subjects and lipidomic analysis was carried out through analysis in HILIC and RPC, alternately. Furthermore, we illustrate the advantages and disadvantages of both techniques for lipid characterization. RPC showed greater sensitivity in hydrophobicity-based lipid separation, detecting diglycerides, triglycerides, cholesterol, and cholesteryl esters, whereas no signal of these molecules was obtained in HILIC. However, due to coelution, RPC was less effective in separating polar lipids like phospholipids, which were separated effectively in HILIC in both ionization modes. The complementary nature of these analytical approaches was essential for the detection and identification of lipid classes/subclasses, which can then provide distinct insights into lipid metabolism, a determinant of the pathophysiology of several diseases involving lipids, notably age-related macular degeneration.

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Corneal endothelial diseases are the leading cause of corneal transplantation. The global shortage of donor corneas has resulted in the investigation of alternative methods, such as cell therapy and tissue-engineered endothelial keratoplasty (TEEK), using primary cultures of human corneal endothelial cells (hCECs). The main challenge is optimizing the hCEC culture process to increase the endothelial cell density (ECD) and overall yield while preventing endothelial–mesenchymal transition (EndMT). Fetal bovine serum (FBS) is necessary for hCEC expansion but contains TGF-βs, which have been shown to be detrimental to hCECs. Therefore, we investigated various TGF-β signaling pathways using inhibitors to improve hCEC culture. Initially, we confirmed that TGF-β1, 2, and 3 induced EndMT on confluent hCECs without FBS. Using this TGF-β-induced EndMT model, we validated NCAM as a reliable biomarker to assess EndMT. We then demonstrated that, in a culture medium containing 8% FBS for hCEC expansion, TGF-β1 and 3, but not 2, significantly reduced the ECD and caused EndMT. TGF-β receptor inhibition had an anti-EndMT effect. Inhibition of the ROCK pathway, notably that of the P38 MAPK pathway, increased the ECD, while inhibition of the ERK pathway decreased the ECD. In conclusion, the presence of TGF-β1 and 3 in 8% FBS leads to a reduction in ECD and induces EndMT. The use of SB431542 or LY2109761 may prevent EndMT, while Y27632 or Ripasudil, and SB203580 or SB202190, can increase the ECD.