Retinal Biomarker Research

The following papers detail some of the exciting research being carried out which evidences the potential for retinal biomarkers in the diagnosis and management of ophthalmological and systemic diseases.  These are papers which we have found particularly interesting, but there are many other indications with retinal biomarkers that are only now being discovered.  Therefore we will update this list over the coming months.  While RAIR's scientific advisory committee may have co-authored a number of these papers, RAIR was not directly involved.

Kaiser, Peter K., et al. (2021) Retinal Fluid and Thickness as Measures of Disease Activity in Neovascular Age-Related Macular Degeneration, Retina: Volume 41 - Issue 8 - p 1579-1586

Corvi, Federico MD et al. (2021) Choriocapillaris flow deficits as a risk factor for progression of age-related macular degeneration, Retina:  Volume 41 - Issue 4 - p 686-693 doi: 10.1097/IAE.0000000000002990

Keenan TDL et al. (2021) Automated Quantitative Assessment of Retinal Fluid Volumes as Important Biomarkers in Neovascular Age-Related Macular Degeneration. Am J Ophthalmol. 2021;224:267-281. doi:10.1016/j.ajo.2020.12.012

Cunha JP, Proença R, Dias-Santos A, et al. (2017) OCT in Alzheimer's disease: thinning of the RNFL and superior hemiretina. Graefes Arch Clin Exp Ophthalmol.;255(9):1827-1835. doi:10.1007/s00417-017-3715-9

Siegfried K. Wagner et al (2020); Insights into Systemic Disease through Retinal Imaging-Based Oculomics. Trans. Vis. Sci. Tech. ;9(2):6. doi: https://doi.org/10.1167/tvst.9.2.6.

Diaz-Pinto, A., Ravikumar, N., Attar, R. et al. Predicting myocardial infarction through retinal scans and minimal personal information. Nat Mach Intell 4, 55–61 (2022). https://doi.org/10.1038/s42256-021-00427-7

Siegfried K. Wagner et al (2020); Insights into Systemic Disease through Retinal Imaging-Based Oculomics. Trans. Vis. Sci. Tech. ;9(2):6. doi: https://doi.org/10.1167/tvst.9.2.6.

Villaplana-Velasco, A. et al (2021); Decreased retinal vascular complexity is an early biomarker of MI supported by a shared genetic control. doi: https://doi.org/10.1101/2021.12.16.21267446

Chung YR, Kim YH, Ha SJ, et al. (2019) Role of Inflammation in Classification of Diabetic Macular Edema by Optical Coherence Tomography. J Diabetes Res. ;2019:8164250. Published 2019 Dec 20. doi:10.1155/2019/8164250

Pead, Emma & Giarratano et al. (2021). 2D alpha-shapes to quantify retinal microvasculature morphology and their application to proliferative diabetic retinopathy characterisation in fundus photographs. Scientific Reports. 11. 10.1038/s41598-021-02329-5. 

Zhang K, Liu X, Xu J, et al. (2021) Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images. Nat Biomed Eng. 2021;5(6):533-545. doi:10.1038/s41551-021-00745-6

Asanad, Samuel et al. (2021) Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders. Translational vision science & technology vol. 10,4: 29. doi:10.1167/tvst.10.4.29

Ballerini L. et al. (2020) Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. In: Papież B., Namburete A., Yaqub M., Noble J. (eds) Medical Image Understanding and Analysis. MIUA 2020. Communications in Computer and Information Science, vol 1248. Springer, Cham. 

Dias-Santos, A., Tavares Ferreira, J., Pinheiro, S. et al. Retinal and choroidal thickness changes in systemic lupus erythematosus patients: a longitudinal study. Eye 35, 2771–2780 (2021). https://doi.org/10.1038/s41433-020-01292-1