Single-cell RNA sequencing reveals new subtypes of lens superficial tissue in humans.

Although the cell atlas of the human ocular anterior segment of the human eye was revealed by single-nucleus RNA sequencing, whether subtypes of lens stem/progenitor cells exist among epithelial cells and the molecular characteristics of cell differentiation of the human lens remain unclear. Single-cell RNA sequencing is a powerful tool to analyse the heterogeneity of tissues at the single cell level, leading to a better understanding of the processes of cell differentiation. By profiling 18,596 cells in human lens superficial tissue through single-cell sequencing, we identified two subtypes of lens epithelial cells that specifically expressed C8orf4 and ADAMTSL4 with distinct spatial localization, a new type of fibre cells located directly adjacent to the epithelium, and a subpopulation of ADAMTSL4+ cells that might be lens epithelial stem/progenitor cells. We also found two trajectories of lens epithelial cell differentiation and changes of some important genes during differentiation.

4D label-free proteomic analysis of vitreous from patients with rhegmatogenous retinal detachment.

AIM: To identify metabolites, proteins, and related pathways involved in the etiology of rhegmatogenous retinal detachment (RRD) for use as biomarkers in diagnosing and treating RRD. METHODS: Vitreous specimens were collected and liquid chromatography-tandem mass spectrometry analysis was performed using the four-dimensional label-free technique. Statistically significant differentially expressed proteins, gene ontology (GO) terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway representations, and protein interactions were analyzed. RESULTS: Nine specimens were subjected to proteomic analysis. In total, 161 proteins were identified as differentially expressed proteins (DEPs), including 53 upregulated proteins and 108 downregulated proteins. GO functional analysis revealed that some DEPs were enriched in neuron-related terms and membrane protein terms. Moreover, KEGG analysis indicated that the cell adhesion molecule metabolic pathway was associated with the greatest number of DEPs. Finally, the evaluation of protein-protein interaction network revealed that DEPs were clustered in neuronal adhesion, apoptosis, inflammation and immune responses, correct protein folding, and glycolysis. CONCLUSION: Proteomic profiling is useful for the exploration of molecular mechanisms that underlie RRD. This study reveals increased expression levels of proteins related to heat shock protein content, glycolysis, and inflammatory responses in RRD. Knowledge regarding biomarkers of RRD pathogenesis may help to prevent the occurrence of RRD in the future.

Causal Relationships Between Glycemic Traits and Myopia.

Purpose: Little is known about whether sugar intake is a risk factor for myopia, and the influence of glycemic control remains unclear, with inconsistent results reported. This study aimed to clarify this uncertainty by evaluating the link between multiple glycemic traits and myopia. Methods: We employed a two-sample Mendelian randomization (MR) design using summary statistics from independent genome-wide association studies. A total of six glycemic traits, including adiponectin, body mass index, fasting blood glucose, fasting insulin, hemoglobin A1c (HbA1c), and proinsulin levels, were used as exposures, and myopia was used as the outcome. The inverse-variance-weighted (IVW) method was the main applied analytic tool and was complemented with comprehensive sensitivity analyses. Results: Out of the six glycemic traits studied, we found that adiponectin was significantly associated with myopia. The genetically predicted level of adiponectin was consistently negatively associated with myopia incidence: IVW (odds ratio [OR] = 0.990; P = 2.66 × 10-3), MR Egger (OR = 0.983; P = 3.47 × 10-3), weighted median method (OR = 0.989; P = 0.01), and weighted mode method (OR = 0.987; P = 0.01). Evidence from all sensitivity analyses further supported these associations. In addition, a higher HbA1c level was associated with a greater risk of myopia: IVW (OR = 1.022; P = 3.06 × 10-5). Conclusions: Genetic evidence shows that low adiponectin levels and high HbA1c are associated with an increased risk of myopia. Given that physical activity and sugar intake are controllable variables in blood glycemia treatment, these findings provide new insights into potential strategies to delay myopia onset.