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      Inflammation, neurodegeneration and protein aggregation in the retina as ocular biomarkers for Alzheimer’s disease in the 3xTg-AD mouse model

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          Abstract

          Alzheimer's disease (AD) is the most common cause of dementia in the elderly. In the pathogenesis of AD a pivotal role is played by two neurotoxic proteins that aggregate and accumulate in the central nervous system: amyloid beta and hyper-phosphorylated tau. Accumulation of extracellular amyloid beta plaques and intracellular hyper-phosphorylated tau tangles, and consequent neuronal loss begins 10–15 years before any cognitive impairment. In addition to cognitive and behavioral deficits, sensorial abnormalities have been described in AD patients and in some AD transgenic mouse models. Retina can be considered a simple model of the brain, as some pathological changes and therapeutic strategies from the brain may be observed or applicable to the retina. Here we propose new retinal biomarkers that could anticipate the AD diagnosis and help the beginning and the follow-up of possible future treatments. We analyzed retinal tissue of triple-transgenic AD mouse model (3xTg-AD) for the presence of pathological hallmarks during disease progression. We found the presence of amyloid beta plaques, tau tangles, neurodegeneration, and astrogliosis in the retinal ganglion cell layer of 3xTg-AD mice, already at pre-symptomatic stage. Moreover, retinal microglia in pre-symptomatic mice showed a ramified, anti-inflammatory phenotype which, during disease progression, switches to a pro-inflammatory, less ramified one, becoming neurotoxic. We hypothesize retina as a window through which monitor AD-related neurodegeneration process.

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          Concomitant astroglial atrophy and astrogliosis in a triple transgenic animal model of Alzheimer's disease.

          Astrocytes are fundamental for brain homeostasis and are at the fulcrum of neurological diseases including Alzheimer's disease (AD). Here, we monitored changes in astroglia morphology throughout the age-dependent progression of AD. We used an immunohistochemical approach that allows us to determine the domain of glial cytoskeleton, by measuring the surface, volume, and the relationship between astrocytes and neuritic plaques. We investigated astroglia in the hippocampus of a triple transgenic mouse model of AD (3xTg-AD) that mimics the progression of the human disease. The numerical density of astrocytes is affected neither by AD nor by age. We found reduction of surface and volume of GFAP profiles from early ages (6 months; 43.84 and 52.76%, respectively), persisting at 12 (40.73 and 45.39%) and 18 months (64.80 and 71.95%) in the dentate gyrus (DG) of 3xTg-AD, whereas in CA1 it appears at 18 months (29.42 and 32.74%). This cytoskeleton atrophy is accompanied by a significant reduction of glial somata volume in DG at 12 and 18 months (40.46 and 75.55%, respectively), whereas in CA1 it is significant at 18 months (42.81%). However, while astroglial atrophy appears as a generalized process, astrocytes surrounding plaques are clearly hypertrophic as revealed by increased surface (48.06%; 66.66%), and volume (57.10%; 71.06%) of GFAP profiles in DG and CA1, respectively, at 18 months. We suggest differential effects of AD on astroglial populations depending on their association with plaques accounting for the progressive disruption of neural networks connectivity and neurotransmitters imbalance which underlie mnesic and cognitive impairments observed in AD.
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            Neuron loss in the 5XFAD mouse model of Alzheimer’s disease correlates with intraneuronal Aβ42 accumulation and Caspase-3 activation

            Background Although the mechanism of neuron loss in Alzheimer’s disease (AD) is enigmatic, it is associated with cerebral accumulation of Aβ42. The 5XFAD mouse model of amyloid deposition expresses five familial AD (FAD) mutations that are additive in driving Aβ42 overproduction. 5XFAD mice exhibit intraneuronal Aβ42 accumulation at 1.5 months, amyloid deposition at 2 months, and memory deficits by 4 months of age. Results Here, we demonstrate by unbiased stereology that statistically significant neuron loss occurs by 9 months of age in 5XFAD mice. We validated two Aβ42-selective antibodies by immunostaining 5XFAD; BACE1−/− bigenic brain sections and then used these antibodies to show that intraneuronal Aβ42 and amyloid deposition develop in the same regions where neuron loss is observed in 5XFAD brain. In 5XFAD neuronal soma, intraneuronal Aβ42 accumulates in puncta that co-label for Transferrin receptor and LAMP-1, indicating endosomal and lysosomal localization, respectively. In addition, in young 5XFAD brains, we observed activated Caspase-3 in the soma and proximal dendrites of intraneuronal Aβ42-labeled neurons. In older 5XFAD brains, we found activated Caspase-3-positive punctate accumulations that co-localize with the neuronal marker class III β-tubulin, suggesting neuron loss by apoptosis. Conclusions Together, our results indicate a temporal sequence of intraneuronal Aβ42 accumulation, Caspase-3 activation, and neuron loss that implies a potential apoptotic mechanism of neuron death in the 5XFAD mouse.
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              Amyloid-beta deposits lead to retinal degeneration in a mouse model of Alzheimer disease.

              To compare the temporal and spatial expression patterns of amyloid precursor protein (APP), amyloid-beta deposits, inflammatory chemokines, and apoptosis in the retina of a mouse model of Alzheimer disease (AD). Retinas of transgenic mice harboring a mutant presenilin (PS1) and a mutant APP gene were processed for TUNEL and immunohistochemistry with antibodies against APP, amyloid-beta, monocyte chemotactic protein (MCP)-1, and F4/80. Comparisons were made between age groups and between transgenic and wild-type congeners. The neuroretina demonstrated age-dependent increases in APP in the ganglion cells (RGCs) and in neurons of the inner nuclear layer (INL). Amyloid-beta demonstrated significant age-dependent deposition in the nerve fiber layer (NFL). TUNEL-positive RGC increased in an age-dependent fashion and in transgenic compared with wild-type congeners. Concomitant overexpression of MCP-1 and intense immunoreactivity for F4/80 suggested that RGCs upregulate MCP-1 in response to amyloid-beta. Activated microglia proliferated in response to MCP-1. In the outer retina, retinal pigment epithelium (RPE) demonstrated moderate age-dependent APP immunoreactivity, but nearby drusenlike deposits were not present. Amyloid-beta was observed in the choriocapillaris of the older animals. Amyloid-beta deposits accumulate with age in the retina of a transgenic mouse model of AD. The amyloid-beta loads are accompanied by increased immunoreactivity for MCP-1, F4/80, and TUNEL-positive profiles in the RGC layer. The results suggest that amyloid-beta causes neurodegeneration in the retina of the doubly mutant transgenic mouse model of AD.
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                Author and article information

                Contributors
                +390649910971 , silvia.diangelantonio@uniroma1.it
                Journal
                Cell Death Dis
                Cell Death Dis
                Cell Death & Disease
                Nature Publishing Group UK (London )
                2041-4889
                7 June 2018
                7 June 2018
                June 2018
                : 9
                : 6
                : 685
                Affiliations
                [1 ]ISNI 0000 0004 1764 2907, GRID grid.25786.3e, Center for Life Nanoscience, , Istituto Italiano di Tecnologia, ; Rome, Italy
                [2 ]GRID grid.7841.a, Department of Physiology and Pharmacology, , Sapienza University, ; Rome, Italy
                [3 ]ISNI 0000 0004 1760 3561, GRID grid.419543.e, IRCCS Neuromed, ; Pozzilli, Italy
                [4 ]GRID grid.7841.a, Department of Molecular Medicine, , Sapienza University, ; Rome, Italy
                [5 ]GRID grid.7841.a, Department of Physics, , Sapienza University, ; Rome, Italy
                Author information
                http://orcid.org/0000-0001-5502-6740
                http://orcid.org/0000-0002-6517-9107
                http://orcid.org/0000-0001-7504-8197
                Article
                740
                10.1038/s41419-018-0740-5
                5992214
                29880901
                29706381-441f-4725-af74-e9929a69050d
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 9 April 2018
                : 18 May 2018
                : 22 May 2018
                Funding
                Funded by: Marbel Life2020 of Regione Lazio (Italy)
                Funded by: CrestOptics-IIT JointLab for Advanced Microscopy
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                © The Author(s) 2018

                Cell biology
                Cell biology

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