Description of a CSF-Enriched miRNA Panel for the Study of Neurological Diseases.

BACKGROUND: The study of circulating miRNAs in CSF has gained tremendous attention during the last years, as these molecules might be promising candidates to be used as biomarkers and provide new insights into the disease pathology of neurological disorders. OBJECTIVE: The main aim of this study was to describe an OpenArray panel of CSF-enriched miRNAs to offer a suitable tool to identify and characterize new molecular signatures in different neurological diseases. METHODS: Two hundred and fifteen human miRNAs were selected to be included in the panel, and their expression and abundance in CSF samples were analyzed. In addition, their stability was studied in order to propose suitable endogenous controls for CSF miRNA studies. RESULTS: miR-143-3p and miR-23a-3p were detected in all CSF samples, while another 80 miRNAs were detected in at least 70% of samples. miR-770-5p was the most abundant miRNA in CSF, presenting the lowest mean Cq value. In addition, miR-26b-5p, miR-335-5p and miR-92b-3p were the most stable miRNAs and could be suitable endogenous normalizers for CSF miRNA studies. CONCLUSIONS: These OpenArray plates might be a suitable and efficient tool to identify and characterize new molecular signatures in different neurological diseases and would improve the yield of miRNA detection in CSF.

Incidence and characteristics of uncommon dementia subtypes: Results from 10 years of clinical surveillance by the Registry of Dementia of Girona.

INTRODUCTION: Age- and sex-stratified incidence rates of uncommon dementia subtypes are imprecise and scarce. METHODS: We used data from 7357 newly diagnosed individuals aged between 30.6 and 101.0 years from the Registry of Dementia of Girona during 2007-2016 to determine the incidence rates of uncommon dementia subtypes stratified by sex and age groups and to describe their clinical characteristics. RESULTS: Uncommon dementia subtypes were classified according to their etiology. The incidence rate of uncommon dementia subtypes was 27.8 cases per 100,000 person-years for those aged 30 years and older, 3.7 cases per 100,000 person-years for people aged less than 65 years, and 110.9 per 100,000 person-years for those aged 65 years and older. Age, sex, dementia severity, and medical comorbidities were different depending on the dementia subtype. DISCUSSION: There are differences in the incidence rates and the demographic and clinical characteristics among uncommon dementia subtypes for age and sex groups.