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Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders

PURPOSE: We evaluated the patient-control differences and predictive value of the retina as potential biomarkers for schizophrenia. METHODS: The institutional study included both eyes of 58 schizophrenia spectrum disorder (SSD) patients (age 37.2 ± 12.3 years) and 35 controls (age 41.1 ± 15.2 years)...

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Autores principales: Asanad, Samuel, O'Neill, Hugh, Addis, Hampton, Chen, Shuo, Wang, Jingtao, Goldwaser, Eric, Kochunov, Peter, Hong, L. Elliot, Saeedi, Osamah J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083086/
https://www.ncbi.nlm.nih.gov/pubmed/34004009
http://dx.doi.org/10.1167/tvst.10.4.29
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author Asanad, Samuel
O'Neill, Hugh
Addis, Hampton
Chen, Shuo
Wang, Jingtao
Goldwaser, Eric
Kochunov, Peter
Hong, L. Elliot
Saeedi, Osamah J.
author_facet Asanad, Samuel
O'Neill, Hugh
Addis, Hampton
Chen, Shuo
Wang, Jingtao
Goldwaser, Eric
Kochunov, Peter
Hong, L. Elliot
Saeedi, Osamah J.
author_sort Asanad, Samuel
collection PubMed
description PURPOSE: We evaluated the patient-control differences and predictive value of the retina as potential biomarkers for schizophrenia. METHODS: The institutional study included both eyes of 58 schizophrenia spectrum disorder (SSD) patients (age 37.2 ± 12.3 years) and 35 controls (age 41.1 ± 15.2 years). Retinal nerve fiber layer (RNFL), ganglion cell–inner plexiform layer, outer retinal photoreceptor complex, and total macula thicknesses were measured by optical coherence tomography (OCT). Anterior segment parameters including central corneal thickness, anterior chamber depth, and axial length were measured to rule out confounds on the retinal measures. RESULTS: The peripapillary RNFL was overall significantly thinner in SSD relative to controls (F = 3.97, P = 0.049), most pronounced in the temporal (5.2 µm difference, F = 6.95, P = 0.010) and inferior quadrants (12.1 µm difference, F = 7.32, P = 0.009). There were no significant group differences in thickness for the macular RNFL, ganglion, or photoreceptor cell related measures (P > 0.05). Peripapillary RNFL, central macula, and outer photoreceptor complex thicknesses were together able to classify SSD patients with 80% sensitivity and 71% specificity; area under the curve = 0.82 (95% confidence interval, 0.75–0.88). CONCLUSIONS: SSD patients exhibited significant RNFL thinning relative to controls. Notably, retinal thickness measures including both peripapillary and macular data exhibited improved diagnostic accuracy for SSD as compared to these regions alone. TRANSLATIONAL RELEVANCE: This is the first study to evaluate the predictive value of both the inner and outer retina in SSD. OCT retinal thickness measures including peripapillary data in conjunction with macular data may provide an informative, noninvasive in vivo ocular biomarker for schizophrenia.
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spelling pubmed-80830862021-05-05 Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders Asanad, Samuel O'Neill, Hugh Addis, Hampton Chen, Shuo Wang, Jingtao Goldwaser, Eric Kochunov, Peter Hong, L. Elliot Saeedi, Osamah J. Transl Vis Sci Technol Article PURPOSE: We evaluated the patient-control differences and predictive value of the retina as potential biomarkers for schizophrenia. METHODS: The institutional study included both eyes of 58 schizophrenia spectrum disorder (SSD) patients (age 37.2 ± 12.3 years) and 35 controls (age 41.1 ± 15.2 years). Retinal nerve fiber layer (RNFL), ganglion cell–inner plexiform layer, outer retinal photoreceptor complex, and total macula thicknesses were measured by optical coherence tomography (OCT). Anterior segment parameters including central corneal thickness, anterior chamber depth, and axial length were measured to rule out confounds on the retinal measures. RESULTS: The peripapillary RNFL was overall significantly thinner in SSD relative to controls (F = 3.97, P = 0.049), most pronounced in the temporal (5.2 µm difference, F = 6.95, P = 0.010) and inferior quadrants (12.1 µm difference, F = 7.32, P = 0.009). There were no significant group differences in thickness for the macular RNFL, ganglion, or photoreceptor cell related measures (P > 0.05). Peripapillary RNFL, central macula, and outer photoreceptor complex thicknesses were together able to classify SSD patients with 80% sensitivity and 71% specificity; area under the curve = 0.82 (95% confidence interval, 0.75–0.88). CONCLUSIONS: SSD patients exhibited significant RNFL thinning relative to controls. Notably, retinal thickness measures including both peripapillary and macular data exhibited improved diagnostic accuracy for SSD as compared to these regions alone. TRANSLATIONAL RELEVANCE: This is the first study to evaluate the predictive value of both the inner and outer retina in SSD. OCT retinal thickness measures including peripapillary data in conjunction with macular data may provide an informative, noninvasive in vivo ocular biomarker for schizophrenia. The Association for Research in Vision and Ophthalmology 2021-04-27 /pmc/articles/PMC8083086/ /pubmed/34004009 http://dx.doi.org/10.1167/tvst.10.4.29 Text en Copyright 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Article
Asanad, Samuel
O'Neill, Hugh
Addis, Hampton
Chen, Shuo
Wang, Jingtao
Goldwaser, Eric
Kochunov, Peter
Hong, L. Elliot
Saeedi, Osamah J.
Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders
title Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders
title_full Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders
title_fullStr Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders
title_full_unstemmed Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders
title_short Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders
title_sort neuroretinal biomarkers for schizophrenia spectrum disorders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083086/
https://www.ncbi.nlm.nih.gov/pubmed/34004009
http://dx.doi.org/10.1167/tvst.10.4.29
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