Neuroretinal Biomarkers for Schizophrenia Spectrum Disorders.


Journal

Translational vision science & technology
ISSN: 2164-2591
Titre abrégé: Transl Vis Sci Technol
Pays: United States
ID NLM: 101595919

Informations de publication

Date de publication:
01 04 2021
Historique:
entrez: 18 5 2021
pubmed: 19 5 2021
medline: 29 6 2021
Statut: ppublish

Résumé

We evaluated the patient-control differences and predictive value of the retina as potential biomarkers for schizophrenia. 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. 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). 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. 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.

Identifiants

pubmed: 34004009
pii: 2772525
doi: 10.1167/tvst.10.4.29
pmc: PMC8083086
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

29

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB015611
Pays : United States
Organisme : NIMH NIH HHS
ID : RF1 MH123163
Pays : United States
Organisme : NIH HHS
ID : S10 OD023696
Pays : United States

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Auteurs

Samuel Asanad (S)

Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.

Hugh O'Neill (H)

Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.

Hampton Addis (H)

Children's National Health System, Washington, DC, USA.

Shuo Chen (S)

Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, and Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.

Jingtao Wang (J)

Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, and Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.

Eric Goldwaser (E)

Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.

Peter Kochunov (P)

Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.

L Elliot Hong (LE)

Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.

Osamah J Saeedi (OJ)

Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.

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