17 research outputs found

    Profiles of Extracellular miRNA in Cerebrospinal Fluid and Serum from Patients with Alzheimer's and Parkinson's Diseases Correlate with Disease Status and Features of Pathology

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    <div><p>The discovery and reliable detection of markers for neurodegenerative diseases have been complicated by the inaccessibility of the diseased tissue- such as the inability to biopsy or test tissue from the central nervous system directly. RNAs originating from hard to access tissues, such as neurons within the brain and spinal cord, have the potential to get to the periphery where they can be detected non-invasively. The formation and extracellular release of microvesicles and RNA binding proteins have been found to carry RNA from cells of the central nervous system to the periphery and protect the RNA from degradation. Extracellular miRNAs detectable in peripheral circulation can provide information about cellular changes associated with human health and disease. In order to associate miRNA signals present in cell-free peripheral biofluids with neurodegenerative disease status of patients with Alzheimer's and Parkinson's diseases, we assessed the miRNA content in cerebrospinal fluid and serum from postmortem subjects with full neuropathology evaluations. We profiled the miRNA content from 69 patients with Alzheimer's disease, 67 with Parkinson's disease and 78 neurologically normal controls using next generation small RNA sequencing (NGS). We report the average abundance of each detected miRNA in cerebrospinal fluid and in serum and describe 13 novel miRNAs that were identified. We correlated changes in miRNA expression with aspects of disease severity such as Braak stage, dementia status, plaque and tangle densities, and the presence and severity of Lewy body pathology. Many of the differentially expressed miRNAs detected in peripheral cell-free cerebrospinal fluid and serum were previously reported in the literature to be deregulated in brain tissue from patients with neurodegenerative disease. These data indicate that extracellular miRNAs detectable in the cerebrospinal fluid and serum are reflective of cell-based changes in pathology and can be used to assess disease progression and therapeutic efficacy.</p></div

    Ordinal regression analysis reveals miRNAs with trends in Lewy body progression.

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    <p>(<b>A</b>) We plotted two miRNAs (miR-34a-5p and miR-374-5p) detected in CSF from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094839#pone-0094839-t007" target="_blank">Table? 7</a> that showed consistent expression change with progression of Lewy bodies. (<b>B</b>) We plotted two miRNAs (miR-130b-3p and miR-181b-5p) detected in SER from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094839#pone-0094839-t007" target="_blank">Table? 7</a> that showed consistent expression changes with progression of Lewy bodies.</p

    Lewy body progression-associated miRNAs.

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    <p>Ordinal regression analysis was implemented in order to detect miRNAs with monotonic expression patterns across Lewy body stages. Lewy body stages were defined with the Unified Staging System for Lewy Body Disorders as described by Beach et al <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094839#pone.0094839-Beach1" target="_blank">[46]</a>. Specific CSF Lewy body stage subgroups consisted of: no Lewy bodies (n = 126), Limbic type (n = 30) and Neocortical type (n = 21). Similarly, Lewy body subcategories in the SER were comprised of: no Lewy bodies (n = 113), Limbic type (n = 23) and Neocortical type (n = 20). We report predictor variables with the lowest Akaike Information Criterion (AIC) and that satisfy assumptions of the OLR. p-Value* is unadjusted.</p

    Novel miRNAs in CSF and SER predicted by miRDeep2.

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    <p>To be listed, the potential miRNA had to be present in at least 30% of either the SER or the CSF samples, and have more than 5 counts on average across all samples. Column one contains the precursor sequence predicted by miRDeep2 for the potential mature miRNA detected. Column two is the percentage of serum samples in which the miRNA was present (total number of serum samples examined: 196). Column three is the percentage of CSF samples in which the miRNA was detected (total number of CSF samples examined: 203). Column four represents the total percentage of samples in which the miRNA was detected.</p

    miRNAs associated with plaque density score.

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    <p>Neuropathological examination disclosed total plaque-density score ranging from 1–15 for each subject. Scores were divided into three groups corresponding to low plaque-density score (1–5), moderate plaque-density score (6–10) and high plaque-density score (11–15). Ultimately, plaque density subgroups consisted of stage 1 (n = 58), stage 2 (n = 41) and stage 3 (n = 85) subjects for CSF and stage 1 (n = 55), stage 2 (n = 35) and stage 3 (n = 74) for SER. The ordinal regression method was used to model the relationship between the ordinal outcome variable, plaque density score, and normalized miRNA counts as explanatory variable. Delta AIC quantifies the information loss associated with using each model relative to the best approximating model. We report miRNAs with the lowest AIC value and . p-Value* is unadjusted.</p
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