Abstract
Introduction: Several microRNAs (miRNAs) have been implicated in Alzheimer's disease pathogenesis, but the evidence from individual case-control studies remains inconclusive. Methods: A systematic literature review was performed, followed by standardized multistage data extraction, quality control, and meta-analyses on eligible data for brain, blood, and cerebrospinal fluid specimens. Results were compared with miRNAs reported in the abstracts of eligible studies or recent qualitative reviews to assess novelty. Results: Data from 147 independent data sets across 107 publications were quantitatively assessed in 461 meta-analyses. Twenty-five, five, and 32 miRNAs showed studywide significant differential expression (α < 1·08 × 10−4) in brain, cerebrospinal fluid, and blood-derived specimens, respectively, with 5 miRNAs showing differential expression in both brain and blood. Of these 57 miRNAs, 13 had not been reported in the abstracts of previous original or review articles. Discussion: Our systematic assessment of differential miRNA expression is the first of its kind in Alzheimer's disease and highlights several miRNAs of potential relevance.
| Original language | English |
|---|---|
| Journal | Alzheimer's and Dementia |
| Volume | 15 |
| Issue number | 11 |
| Pages (from-to) | 1468-1477 |
| Number of pages | 10 |
| ISSN | 1552-5260 |
| DOIs | |
| Publication status | Published - 11.2019 |
Funding
This work was supported by the EU (grant number IMI_GA_EMIF-115372 to L.B.), the Deutsche Forschungsgemeinschaft - DFG (grant number BE2287/8-1 to L.B.), a scholarship of the Peter und Traudl Engelhorn Foundation (to I.W.), an “Exzellenzmedizin” thesis research scholarship of the University of Lübeck (to J.S.), Stevenage Bioscience Catalyst/Imperial Innovations (grant number 7164/SBC014RP to R.P.), and an Imperial College President's PhD scholarship (to A.S.). All funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. All authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 10 Reduced Inequalities
Research Areas and Centers
- Research Area: Medical Genetics
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