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Spatial distribution of metabolites in the retina and its relevance to studies of metabolic retinal disorders
INTRODUCTION: The primate retina has evolved regional specialisations for specific visual functions. The macula is specialised towards high acuity vision and is an area that contains an increased density of cone photoreceptors and signal processing neurons. Different regions in the retina display un...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902429/ https://www.ncbi.nlm.nih.gov/pubmed/36745234 http://dx.doi.org/10.1007/s11306-022-01969-6 |
Sumario: | INTRODUCTION: The primate retina has evolved regional specialisations for specific visual functions. The macula is specialised towards high acuity vision and is an area that contains an increased density of cone photoreceptors and signal processing neurons. Different regions in the retina display unique susceptibility to pathology, with many retinal diseases primarily affecting the macula. OBJECTIVES: To better understand the properties of different retinal areas we studied the differential distribution of metabolites across the retina. METHODS: We conducted an untargeted metabolomics analysis on full-thickness punches from three different regions (macula, temporal peri-macula and periphery) of healthy primate retina. RESULTS: Nearly half of all metabolites identified showed differential abundance in at least one comparison between the three regions. Furthermore, mapping metabolomics results from macula-specific eye diseases onto our region-specific metabolite distributions revealed differential abundance defining systemic metabolic dysregulations that were region specific. CONCLUSIONS: The unique metabolic phenotype of different retinal regions is likely due to the differential distribution of different cell types in these regions reflecting the specific metabolic requirements of each cell type. Our results may help to better understand the pathobiology of retinal diseases with region specificity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11306-022-01969-6. |
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