ArticleMolecular vision2025
System biology analysis reveals that Grm6 is associated with glutamate accumulation-induced scotopic vision impairment in diabetic mice.
Article in Molecular vision, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: Scotopic vision impairment as an early event is found in diabetic retinopathy. However, the underlying mechanisms behind hyperglycemia-induced scotopic vision impairment remain unclear. This study aims to identify that Grm6 is associated with glutamate accumulation-induced scotopic vision impairment under hyperglycemia. Methods: In this study, diabetic mice with impaired scotopic vision were induced by streptozotocin, and the retinal electrical activity was evaluated using electroretinography. Label-free quantitative proteomic analysis was used to identify differentially expressed proteins in the retinas of diabetic mice. A retinal transcriptome-wide association analysis and correlation screening were performed in BXD mice strains to explore the potential genes associated with hyperglycemia. Gene function enrichment analysis was used to evaluate gene function and to construct the correlation network. Results: In total, 151 proteins were significantly altered in the retina of diabetic mice. Among these 151 candidates, 22 genes presented a significant correlation with blood glucose level (p<0.05), which were enriched in alanine, aspartate, and glutamate metabolism (p=0.003). Moreover, the glutamate catabolism-related genes Slc1a2, Gad1, and Glud1 were significantly negatively correlated with blood glucose at the transcript and proteome levels, which led to glutamate accumulation under hyperglycemia. Among eight types of metabotropic glutamate receptors, Grm6 had the most significant correlation with blood glucose level ( Conclusions: Our study confirms that Grm6 is associated with scotopic vision impairment induced by glutamate accumulation in diabetic mice and provides an efficient strategy for exploring critical biomarkers and pathways through a combination of proteomics and transcriptome-wide association analysis.
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41867370PMC13002553What OpenQuestion holds
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