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10.3389/fncel.2020.590960 http://scihub22266oqcxt.onion/10.3389/fncel.2020.590960 33250716!7674923!33250716     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Cell+Neurosci 2020 ; 14 (ä): 590960 Nephropedia Template TP {{tp|p=33250716|t=2020. Harnessing the Neural Stem Cell Secretome for Regenerative Neuroimmunology |pdf=|usr=}}{{33250716}} gab.com Text Harnessing the Neural Stem Cell Secretome for Regenerative Neuroimmunology JO: Front Cell Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=33250716 #FOAvip Increasing evidence foresees the secretome of neural stem cells (NSCs) to confer superimposable beneficial properties as exogenous NSC transplants in experimental treatments of traumas and diseases of the central nervous system (CNS). Naturally produced secretome biologics include membrane-free signaling molecules and extracellular membrane vesicles (EVs) capable of regulating broad functional responses. The development of high-throughput screening pipelines for the identification and validation of NSC secretome targets is still in early development. Encouraging results from pre-clinical animal models of disease have highlighted secretome-based (acellular) therapeutics as providing significant improvements in biochemical and behavioral measurements. Most of these responses are being hypothesized to be the result of modulating and promoting the restoration of key inflammatory and regenerative programs in the CNS. Here, we will review the most recent findings regarding the identification of NSC-secreted factors capable of modulating the immune response to promote the regeneration of the CNS in animal models of CNS trauma and inflammatory disease and discuss the increased interest to refine the pro-regenerative features of the NSC secretome into a clinically available therapy in the emerging field of Regenerative Neuroimmunology. Twit Text FOAVip Harnessing the Neural Stem Cell Secretome for Regenerative Neuroimmunology ????Front Cell Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=33250716 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33250716 #FOAvip English Wikipedia <ref>{{Cite pmid|33250716}}</ref> Harnessing the Neural Stem Cell Secretome for Regenerative Neuroimmunology #MMPMID33250716 Willis CM; Nicaise AM; Hamel R; Pappa V; Peruzzotti-Jametti L; Pluchino S Front Cell Neurosci 2020[]; 14 (ä): 590960 PMID33250716show ga Increasing evidence foresees the secretome of neural stem cells (NSCs) to confer superimposable beneficial properties as exogenous NSC transplants in experimental treatments of traumas and diseases of the central nervous system (CNS). Naturally produced secretome biologics include membrane-free signaling molecules and extracellular membrane vesicles (EVs) capable of regulating broad functional responses. The development of high-throughput screening pipelines for the identification and validation of NSC secretome targets is still in early development. Encouraging results from pre-clinical animal models of disease have highlighted secretome-based (acellular) therapeutics as providing significant improvements in biochemical and behavioral measurements. Most of these responses are being hypothesized to be the result of modulating and promoting the restoration of key inflammatory and regenerative programs in the CNS. Here, we will review the most recent findings regarding the identification of NSC-secreted factors capable of modulating the immune response to promote the regeneration of the CNS in animal models of CNS trauma and inflammatory disease and discuss the increased interest to refine the pro-regenerative features of the NSC secretome into a clinically available therapy in the emerging field of Regenerative Neuroimmunology. äHarnessing the Neural Stem Cell Secretome for Regenerative Neuroimmuno(epmc).pdf DeepDyve Pubget Overpricing