Takousis, P. | Search bioRxiv

bioRxiv2018

Differential expression of microRNAs in Alzheimer’s disease brain, blood and cerebrospinal fluid: a systematic review and meta-analysis

INTRODUCTIONSeveral microRNAs (miRNAs) have been implicated in Alzheimers disease (AD) pathogenesis but the evidence from individual case-control-studies remains inconclusive.\n\nMETHODSA systematic literature review was performed, followed by standardised multi-stage data extraction, quality control, and meta-analyses on eligible data for brain, blood, and cerebrospinal fluid (CSF) specimens. Results were compared with miRNAs reported in the abstracts of eligible studies or recent qualitative reviews to assess novelty.\n\nRESULTSData from 147 independent datasets across 107 publications were quantitatively assessed in 461 meta-analyses. Twenty-five, five, and 32 miRNAs showed study-wide significant differential expression (<1.08x10-4) in brain, CSF, 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.\n\nDISCUSSIONOur systematic assessment of differential miRNA expression is the first of its kind in AD and highlights miRNAs of relevance.

neuroscience↗

bioRxiv2018

Systematic meta-analyses identify differentially expressed microRNAs in Parkinson’s disease

ObjectiveMicroRNA-mediated (dys)regulation of gene expression has been implicated in Parkinsons disease (PD), although results of microRNA expression studies remain inconclusive. We aimed to identify microRNAs that show consistent differential expression across all published expression studies in PD.\n\nMethodsWe performed a systematic literature search on microRNA expression studies in PD and extracted data from eligible publications. After stratification for brain, blood, and cerebrospinal fluid (CSF)-derived specimen we performed meta-analyses across microRNAs assessed in three or more independent datasets. Meta-analyses were performed using effect-size and p-value based methods, as applicable.\n\nResultsAfter screening 599 publications we identified 47 datasets eligible for meta-analysis. On these, we performed 160 meta-analyses on microRNAs quantified in brain (n=125), blood (n=31), or CSF samples (n=4). Twenty-one meta-analyses were performed using effect sizes. We identified 13 significantly (Bonferroni-adjusted =3.13x10-4) differentially expressed microRNAs in brain (n=3) and blood (n=10) with consistent effect directions across studies. The most compelling findings were with hsa-miR-132-3p (p=6.37x10-5), hsa-miR-497-5p (p=1.35x10-4), and hsa-miR-133b (p=1.90x10-4) in brain, and with hsa-miR-221-3p (p=4.49x10-35), hsa-miR-214-3p (p=2.00x10-34), and hsa-miR-29c-3p (p=3.00x10-12) in blood. No significant signals were found in CSF. Analyses of GWAS data for target genes of brain microRNAs showed significant association (=9.40x10-5) of genetic variants in nine loci.\n\nInterpretationWe identified several microRNAs that showed highly significant differential expression in PD. Future studies may assess the possible role of the identified brain miRNAs in pathogenesis and disease progression as well as the potential of the top blood microRNAs as biomarkers for diagnosis, progression or prediction of PD.

genetics↗