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      microRNA-Based Biomarkers in Alzheimer’s Disease (AD)

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          Abstract

          Alzheimer’s disease (AD) is a multifactorial, age-related neurological disease characterized by complex pathophysiological dynamics taking place at multiple biological levels, including molecular, genetic, epigenetic, cellular and large-scale brain networks. These alterations account for multiple pathophysiological mechanisms such as brain protein accumulation, neuroinflammatory/neuro-immune processes, synaptic dysfunction, and neurodegeneration that eventually lead to cognitive and behavioral decline. Alterations in microRNA (miRNA) signaling have been implicated in the epigenetics and molecular genetics of all neurobiological processes associated with AD pathophysiology. These changes encompass altered miRNA abundance, speciation and complexity in anatomical regions of the CNS targeted by the disease, including modified miRNA expression patterns in brain tissues, the systemic circulation, the extracellular fluid (ECF) and the cerebrospinal fluid (CSF). miRNAs have been investigated as candidate biomarkers for AD diagnosis, disease prediction, prognosis and therapeutic purposes because of their involvement in multiple brain signaling pathways in both health and disease. In this review we will: (i) highlight the significantly heterogeneous nature of miRNA expression and complexity in AD tissues and biofluids; (ii) address how information may be extracted from these data to be used as a diagnostic, prognostic and/or screening tools across the entire continuum of AD, from the preclinical stage, through the prodromal, i.e., mild cognitive impairment (MCI) phase all the way to clinically overt dementia; and (iii) consider how specific miRNA expression patterns could be categorized using miRNA reporters that span AD pathophysiological initiation and disease progression.

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          Most cited references163

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          The neuropathological diagnosis of Alzheimer’s disease

          Alzheimer’s disease is a progressive neurodegenerative disease most often associated with memory deficits and cognitive decline, although less common clinical presentations are increasingly recognized. The cardinal pathological features of the disease have been known for more than one hundred years, and today the presence of these amyloid plaques and neurofibrillary tangles are still required for a pathological diagnosis. Alzheimer’s disease is the most common cause of dementia globally. There remain no effective treatment options for the great majority of patients, and the primary causes of the disease are unknown except in a small number of familial cases driven by genetic mutations. Confounding efforts to develop effective diagnostic tools and disease-modifying therapies is the realization that Alzheimer’s disease is a mixed proteinopathy (amyloid and tau) frequently associated with other age-related processes such as cerebrovascular disease and Lewy body disease. Defining the relationships between and interdependence of various co-pathologies remains an active area of investigation. This review outlines etiologically-linked pathologic features of Alzheimer’s disease, as well as those that are inevitable findings of uncertain significance, such as granulovacuolar degeneration and Hirano bodies. Other disease processes that are frequent, but not inevitable, are also discussed, including pathologic processes that can clinically mimic Alzheimer’s disease. These include cerebrovascular disease, Lewy body disease, TDP-43 proteinopathies and argyrophilic grain disease. The purpose of this review is to provide an overview of Alzheimer’s disease pathology, its defining pathologic substrates and the related pathologies that can affect diagnosis and treatment. Electronic supplementary material The online version of this article (10.1186/s13024-019-0333-5) contains supplementary material, which is available to authorized users.
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            Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma.

            MicroRNAs (miRNAs) circulate in the bloodstream in a highly stable, extracellular form and are being developed as blood-based biomarkers for cancer and other diseases. However, the mechanism underlying their remarkable stability in the RNase-rich environment of blood is not well understood. The current model in the literature posits that circulating miRNAs are protected by encapsulation in membrane-bound vesicles such as exosomes, but this has not been systematically studied. We used differential centrifugation and size-exclusion chromatography as orthogonal approaches to characterize circulating miRNA complexes in human plasma and serum. We found, surprisingly, that the majority of circulating miRNAs cofractionated with protein complexes rather than with vesicles. miRNAs were also sensitive to protease treatment of plasma, indicating that protein complexes protect circulating miRNAs from plasma RNases. Further characterization revealed that Argonaute2 (Ago2), the key effector protein of miRNA-mediated silencing, was present in human plasma and eluted with plasma miRNAs in size-exclusion chromatography. Furthermore, immunoprecipitation of Ago2 from plasma readily recovered non-vesicle-associated plasma miRNAs. The majority of miRNAs studied copurified with the Ago2 ribonucleoprotein complex, but a minority of specific miRNAs associated predominantly with vesicles. Our results reveal two populations of circulating miRNAs and suggest that circulating Ago2 complexes are a mechanism responsible for the stability of plasma miRNAs. Our study has important implications for the development of biomarker approaches based on capture and analysis of circulating miRNAs. In addition, identification of extracellular Ago2-miRNA complexes in plasma raises the possibility that cells release a functional miRNA-induced silencing complex into the circulation.
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              MicroRNAs are Transported in Plasma and Delivered to Recipient Cells by High-Density Lipoproteins

              Circulating microRNAs (miRNA) are relatively stable in plasma and are a new class of disease biomarkers. Here we present evidence that high-density lipoprotein (HDL) transports endogenous miRNAs and delivers them to recipient cells with functional targeting capabilities. Cellular export of miRNAs to HDL was demonstrated to be regulated by neutral sphingomyelinase. Reconstituted HDL injected into mice retrieved distinct miRNA profiles from normal and atherogenic models. HDL delivery of both exogenous and endogenous miRNAs resulted in the direct targeting of mRNA reporters. Furthermore, HDL-mediated delivery of miRNAs to recipient cells was demonstrated to be scavenger receptor BI-dependent. The human HDL-miRNA profile from normal subjects is significantly different than familial hypercholesterolemia subjects. Notably, HDL-miRNA from atherosclerotic subjects induced differential gene expression, with significant loss of conserved mRNA targets in cultured hepatocytes. Collectively, these observations suggest that HDL participates in a mechanism of intercellular communication involving the transport and delivery of miRNAs.
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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                30 October 2020
                2020
                : 14
                : 585432
                Affiliations
                [1] 1LSU Neuroscience Center, Louisiana State University Health Sciences Center , New Orleans, LA, United States
                [2] 2Department of Cell Biology and Anatomy, Louisiana State University Health Science Center , New Orleans, LA, United States
                [3] 3Russian Academy of Medical Sciences , Moscow, Russia
                [4] 4Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital , Paris, France
                [5] 5Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l’Hôpital , Paris, France
                [6] 6Institute of Memory and Alzheimer’s Disease (IM2A), Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l’hôpital , Paris, France
                [7] 7Department of Ophthalmology, LSU Neuroscience Center Louisiana State University Health Science Center , New Orleans, LA, United States
                [8] 8Department of Neurology, LSU Neuroscience Center Louisiana State University Health Science Center , New Orleans, LA, United States
                Author notes

                Edited by: Yu Chen, Shenzhen Institutes of Advanced Technology (CAS), China

                Reviewed by: Subodh Kumar, Texas Tech University Health Sciences Center, United States; Wang-Xia Wang, University of Kentucky, United States

                *Correspondence: Walter J. Lukiw, wlukiw@ 123456lsuhsc.edu

                Deceased

                This article was submitted to Neurodegeneration, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2020.585432
                7664832
                33192270
                e6c4dcc9-efd9-4cc9-b54d-5e0a0206ede6
                Copyright © 2020 Zhao, Jaber, Alexandrov, Vergallo, Lista, Hampel and Lukiw.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 July 2020
                : 04 September 2020
                Page count
                Figures: 3, Tables: 0, Equations: 0, References: 163, Pages: 16, Words: 0
                Funding
                Funded by: National Institute on Aging 10.13039/100000049
                Funded by: National Eye Institute 10.13039/100000053
                Categories
                Neuroscience
                Review

                Neurosciences
                aging,alzheimer’s disease,ad biomarkers,ad diagnostics,ad heterogeneity,human biochemical individuality,inflammatory neurodegeneration,microrna (mirna)

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