Yanhong Liu1,2, Yongsheng Tong1,2, Lvzhen Huang3, Jingxu Chen1,2, Shaoxiao Yan1,2, Fude Yang4. 1. Department of Psychiatry, Peking University Huilongguan Clinical Medical School, Nandian Road, Changping District, Beijing, 100096, China. 2. Department of Psychiatry, Beijing Huilongguan Hospital, Beijing, China. 3. Department of Ophthalmology, People's Hospital of Peking University, Beijing, China. 4. Department of Psychiatry, Peking University Huilongguan Clinical Medical School, Nandian Road, Changping District, Beijing, 100096, China. yangfd_2021@163.com.
Abstract
BACKGROUND: We analyzed the correlation of the clinical data with retinal nerve fiber layer (RNFL) thickness and macular thickness in bipolar disorder patients and major depression patients. The aim of this study is to explore factors that affect RNFL thickness in bipolar disorder patients and major depression patients, with a view to providing a new diagnostic strategy. METHODS: Eighty-two bipolar disorder patients, 35 major depression patients and 274 people who were age and gender matched with the patients were enrolled. Demographic information and metabolic profile of all participants were collected. Best-corrected visual acuity of each eye, intraocular pressure (IOP), fundus examination was performed. RNFL and macular thickness were measured by optical coherence tomography (OCT). Correlations between RNFL and macular thickness and other data were analyzed. RESULTS: RNFL and macula lutea in bipolar dipolar patients and major depression patients are thinner than normal people. Triglyceride and UA levels are the highest in the bipolar disorder group, while alanine aminotransferase (ALT) and glutamic oxalacetic transaminase (AST) levels in the depression group are the highest. Age onset and ALT are positively while uric acid (UA) is negatively correlated with RNFL thickness in bipolar dipolar patients. Cholesterol level is positively correlated with RNFL thickness while the duration of illness is correlated with RNFL thickness of left eye in major depression patients. CONCLUSIONS: RNFL and macula lutea in bipolar dipolar patients and major depression patients are thinner than normal people. In bipolar disorder patients, age-onset and ALT are potential protective factors in the progress of RNFL thinning, while UA is the pathological factor.
BACKGROUND: We analyzed the correlation of the clinical data with retinal nerve fiber layer (RNFL) thickness and macular thickness in bipolar disorderpatients and major depressionpatients. The aim of this study is to explore factors that affect RNFL thickness in bipolar disorderpatients and major depressionpatients, with a view to providing a new diagnostic strategy. METHODS: Eighty-two bipolar disorderpatients, 35 major depressionpatients and 274 people who were age and gender matched with the patients were enrolled. Demographic information and metabolic profile of all participants were collected. Best-corrected visual acuity of each eye, intraocular pressure (IOP), fundus examination was performed. RNFL and macular thickness were measured by optical coherence tomography (OCT). Correlations between RNFL and macular thickness and other data were analyzed. RESULTS: RNFL and macula lutea in bipolar dipolarpatients and major depressionpatients are thinner than normal people. Triglyceride and UA levels are the highest in the bipolar disorder group, while alanine aminotransferase (ALT) and glutamic oxalacetic transaminase (AST) levels in the depression group are the highest. Age onset and ALT are positively while uric acid (UA) is negatively correlated with RNFL thickness in bipolar dipolarpatients. Cholesterol level is positively correlated with RNFL thickness while the duration of illness is correlated with RNFL thickness of left eye in major depressionpatients. CONCLUSIONS: RNFL and macula lutea in bipolar dipolarpatients and major depressionpatients are thinner than normal people. In bipolar disorderpatients, age-onset and ALT are potential protective factors in the progress of RNFL thinning, while UA is the pathological factor.
Authors: Paul J Harrison; Andrea Cipriani; Catherine J Harmer; Anna C Nobre; Kate Saunders; Guy M Goodwin; John R Geddes Journal: Ann N Y Acad Sci Date: 2016-02 Impact factor: 5.691