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      How astrocyte networks may contribute to cerebral metabolite clearance

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      Scientific Reports
      Nature Publishing Group

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          Abstract

          The brain possesses an intricate network of interconnected fluid pathways that are vital to the maintenance of its homeostasis. With diffusion being the main mode of solute transport in cerebral tissue, it is not clear how bulk flow through these pathways is involved in the removal of metabolites. In this computational study, we show that networks of astrocytes may contribute to the passage of solutes between tissue and paravascular spaces (PVS) by serving as low resistance pathways to bulk water flow. The astrocyte networks are connected through aquaporin-4 (AQP4) water channels with a parallel, extracellular route carrying metabolites. Inhibition of the intracellular route by deletion of AQP4 causes a reduction of bulk flow between tissue and PVS, leading to reduced metabolite clearance into the venous PVS or, as observed in animal studies, a reduction of tracer influx from arterial PVS into the brain tissue.

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          Most cited references27

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          New roles for astrocytes: redefining the functional architecture of the brain.

          Astrocytes have traditionally been considered ancillary, satellite cells of the nervous system. However, work over the past decade has revealed that they interact with the vasculature to form a gliovascular network that might organize not only the structural architecture of the brain but also its communication pathways, activation, thresholds and plasticity. The net effect is that astroglia demarcate gray matter regions, both cortical and subcortical, into functional compartments whose internal activation thresholds and external outputs are regulated by single glial cells. The array of these astrocyte-delimited microdomains along the capillary microvasculature allows the formation of higher-order gliovascular units, which serve to match local neural activity and blood flow while regulating neuronal firing thresholds through coordinative glial signaling. By these means, astrocytes might establish the functional as well as the structural architecture of the adult brain.
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            Multiplicity of cerebrospinal fluid functions: New challenges in health and disease

            This review integrates eight aspects of cerebrospinal fluid (CSF) circulatory dynamics: formation rate, pressure, flow, volume, turnover rate, composition, recycling and reabsorption. Novel ways to modulate CSF formation emanate from recent analyses of choroid plexus transcription factors (E2F5), ion transporters (NaHCO3 cotransport), transport enzymes (isoforms of carbonic anhydrase), aquaporin 1 regulation, and plasticity of receptors for fluid-regulating neuropeptides. A greater appreciation of CSF pressure (CSFP) is being generated by fresh insights on peptidergic regulatory servomechanisms, the role of dysfunctional ependyma and circumventricular organs in causing congenital hydrocephalus, and the clinical use of algorithms to delineate CSFP waveforms for diagnostic and prognostic utility. Increasing attention focuses on CSF flow: how it impacts cerebral metabolism and hemodynamics, neural stem cell progression in the subventricular zone, and catabolite/peptide clearance from the CNS. The pathophysiological significance of changes in CSF volume is assessed from the respective viewpoints of hemodynamics (choroid plexus blood flow and pulsatility), hydrodynamics (choroidal hypo- and hypersecretion) and neuroendocrine factors (i.e., coordinated regulation by atrial natriuretic peptide, arginine vasopressin and basic fibroblast growth factor). In aging, normal pressure hydrocephalus and Alzheimer's disease, the expanding CSF space reduces the CSF turnover rate, thus compromising the CSF sink action to clear harmful metabolites (e.g., amyloid) from the CNS. Dwindling CSF dynamics greatly harms the interstitial environment of neurons. Accordingly the altered CSF composition in neurodegenerative diseases and senescence, because of adverse effects on neural processes and cognition, needs more effective clinical management. CSF recycling between subarachnoid space, brain and ventricles promotes interstitial fluid (ISF) convection with both trophic and excretory benefits. Finally, CSF reabsorption via multiple pathways (olfactory and spinal arachnoidal bulk flow) is likely complemented by fluid clearance across capillary walls (aquaporin 4) and arachnoid villi when CSFP and fluid retention are markedly elevated. A model is presented that links CSF and ISF homeostasis to coordinated fluxes of water and solutes at both the blood-CSF and blood-brain transport interfaces. Outline 1 Overview 2 CSF formation 2.1 Transcription factors 2.2 Ion transporters 2.3 Enzymes that modulate transport 2.4 Aquaporins or water channels 2.5 Receptors for neuropeptides 3 CSF pressure 3.1 Servomechanism regulatory hypothesis 3.2 Ontogeny of CSF pressure generation 3.3 Congenital hydrocephalus and periventricular regions 3.4 Brain response to elevated CSF pressure 3.5 Advances in measuring CSF waveforms 4 CSF flow 4.1 CSF flow and brain metabolism 4.2 Flow effects on fetal germinal matrix 4.3 Decreasing CSF flow in aging CNS 4.4 Refinement of non-invasive flow measurements 5 CSF volume 5.1 Hemodynamic factors 5.2 Hydrodynamic factors 5.3 Neuroendocrine factors 6 CSF turnover rate 6.1 Adverse effect of ventriculomegaly 6.2 Attenuated CSF sink action 7 CSF composition 7.1 Kidney-like action of CP-CSF system 7.2 Altered CSF biochemistry in aging and disease 7.3 Importance of clearance transport 7.4 Therapeutic manipulation of composition 8 CSF recycling in relation to ISF dynamics 8.1 CSF exchange with brain interstitium 8.2 Components of ISF movement in brain 8.3 Compromised ISF/CSF dynamics and amyloid retention 9 CSF reabsorption 9.1 Arachnoidal outflow resistance 9.2 Arachnoid villi vs. olfactory drainage routes 9.3 Fluid reabsorption along spinal nerves 9.4 Reabsorption across capillary aquaporin channels 10 Developing translationally effective models for restoring CSF balance 11 Conclusion
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              Correlations of neuronal and microvascular densities in murine cortex revealed by direct counting and colocalization of nuclei and vessels.

              It is well known that the density of neurons varies within the adult brain. In neocortex, this includes variations in neuronal density between different lamina as well as between different regions. Yet the concomitant variation of the microvessels is largely uncharted. Here, we present automated histological, imaging, and analysis tools to simultaneously map the locations of all neuronal and non-neuronal nuclei and the centerlines and diameters of all blood vessels within thick slabs of neocortex from mice. Based on total inventory measurements of different cortical regions ( approximately 10(7) cells vectorized across brains), these methods revealed: (1) In three dimensions, the mean distance of the center of neuronal somata to the closest microvessel was 15 mum. (2) Volume samples within lamina of a given region show that the density of microvessels does not match the strong laminar variation in neuronal density. This holds for both agranular and granular cortex. (3) Volume samples in successive radii from the midline to the ventral-lateral edge, where each volume summed the number of cells and microvessels from the pia to the white matter, show a significant correlation between neuronal and microvessel densities. These data show that while neuronal and vascular densities do not track each other on the 100 mum scale of cortical lamina, they do track each other on the 1-10 mm scale of the cortical mantle. The absence of a disproportionate density of blood vessels in granular lamina is argued to be consistent with the initial locus of functional brain imaging signals.
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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                14 October 2015
                2015
                : 5
                : 15024
                Affiliations
                [1 ]The Interface Group, Institute of Physiology, University of Zurich , Zurich, Switzerland
                [2 ]Neuroscience Center Zurich, University of Zurich , Zurich, Switzerland
                [3 ]Zurich Center for Integrative Human Physiology, University of Zurich , Zurich, Switzerland
                Author notes
                Article
                srep15024
                10.1038/srep15024
                4604494
                26463008
                019f3a9f-2639-4cb9-9f99-ca3245f99ae7
                Copyright © 2015, Macmillan Publishers Limited

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 19 May 2015
                : 15 September 2015
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