ABSTRACT
BACKGROUND: Cone-rod dystrophies are a group of genetically and phenotypically heterogeneous inherited degenerative retinal diseases primarily affecting macular and cone system function. MFSD8 loss-of-function variants are mainly related to the variant late-infantile neuronal ceroid lipofuscinoses which present with progressive motor and mental regression in combination with seizures, ataxia, and visual impairment. MATERIAL AND METHODS: Clinical examination and genomic DNA extraction were collected from two unrelated Iranian families presenting with autosomal recessive cone-rod dystrophy. The candidate disease-causing variant was screened with whole-exome sequencing and bioinformatics analyses. Sanger sequencing was used for validation and co-segregation analysis. RESULTS: Two previously reported variants (c.1361T>C; p.M454T and c.1235C>T; p.P412L) and in a compound heterozygous pattern in one family and a homozygous variant (c.1361T>C; p.M454T) identical to one of the variants in the first family in MFSD8 gene were identified. Both confirmed by Sanger sequencing and co-segregated with disease status. CONCLUSIONS: Here and for the first time, we reported on two previously variant late-infantile neuronal ceroid lipofuscinoses-associated variants in MFSD8 but in association with a form of cone-rod dystrophy known as non-syndromic macular dystrophy with central cone involvement. Our results support this concept that variant late-infantile neuronal ceroid lipofuscinoses and non-syndromic macular dystrophy with central cone involvement are not different disease entities, but rather allelic diseases and phenotypic variants of the same mutation. Consideration of the milder MFSD8 phenotypes is important against the potentially severe consequences of life-threatening conditions associated with MFSD8 mutations in order to prevent the danger of misdiagnosis as well as the accuracy of genetic counseling.
Subject(s)
Cone-Rod Dystrophies/genetics , Membrane Transport Proteins/genetics , Mutation, Missense , Adult , Cone-Rod Dystrophies/physiopathology , Consanguinity , Female , Fluorescein Angiography , Genetic Heterogeneity , Humans , Iran , Male , Neuronal Ceroid-Lipofuscinoses/genetics , Pedigree , Phenotype , Tomography, Optical Coherence , Vision Disorders/physiopathology , Visual Acuity/physiology , Visual Fields , Exome SequencingABSTRACT
BACKGROUND: Transient depressive state (TDS) is a transient, negative emotional state caused by certain events or situations. Because of the similarity in depressive symptoms between depression and TDS that arise within 2 weeks of their onset, it is difficult to distinguish TDS from depression. The aims of the present study were to investigate the application value of selected serum indicators in the differential diagnosis of geriatric depression and TDS in the early stage and to provide evidence for treatment. PATIENTS AND METHODS: In this study, a total of 274 elderly patients were divided into the depression group (n=144) and the TDS group (n=130). All participants' serum samples were collected, and 9 selected serum indicators were analyzed. Afterward, 90 patients with depression and 90 patients with TDS were used to build the diagnostic model. A binary logistic regression analysis was used to establish regression models, and the area under the receiver operating characteristic (ROC) curve was drawn. Finally, another 54 patients with depression and 40 patients with TDS were used to validate our model. RESULTS: For the 9 screening serum indicators, the 3 serum indicators selected to build the regression model were BDNF (P=0.001), IL-1ß (P<0.001), and cortisol (P<0.001). The regression equation was Y = 1/[1 + e-(-16.258 - 0.018 (BDNF) + 0.256 (IL-1ß) + 0.093 (Cortisol))], and the ROC curve of combined detection was 0.926. The diagnostic rate of the logistic model was 89.36%. CONCLUSION: The logistic regression model and ROC curves based on serum levels of BDNF, IL-1ß, and cortisol could distinguish depression from TDS in early stage, which could provide assistance to the differential diagnosis of geriatric depression and TDS.