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      Seizure-mediated iron accumulation and dysregulated iron metabolism after status epilepticus and in temporal lobe epilepsy

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          Abstract

          Neuronal dysfunction due to iron accumulation in conjunction with reactive oxygen species (ROS) could represent an important, yet underappreciated, component of the epileptogenic process. However, to date, alterations in iron metabolism in the epileptogenic brain have not been addressed in detail. Iron-related neuropathology and antioxidant metabolic processes were investigated in resected brain tissue from patients with temporal lobe epilepsy and hippocampal sclerosis (TLE-HS), post-mortem brain tissue from patients who died after status epilepticus (SE) as well as brain tissue from the electrically induced SE rat model of TLE. Magnetic susceptibility of the presumed seizure-onset zone from three patients with focal epilepsy was compared during and after seizure activity. Finally, the cellular effects of iron overload were studied in vitro using an acute mouse hippocampal slice preparation and cultured human fetal astrocytes. While iron-accumulating neurons had a pyknotic morphology, astrocytes appeared to acquire iron-sequestrating capacity as indicated by prominent ferritin expression and iron retention in the hippocampus of patients with SE or TLE. Interictal to postictal comparison revealed increased magnetic susceptibility in the seizure-onset zone of epilepsy patients. Post-SE rats had consistently higher hippocampal iron levels during the acute and chronic phase (when spontaneous recurrent seizures are evident). In vitro, in acute slices that were exposed to iron, neurons readily took up iron, which was exacerbated by induced epileptiform activity. Human astrocyte cultures challenged with iron and ROS increased their antioxidant and iron-binding capacity, but simultaneously developed a pro-inflammatory phenotype upon chronic exposure. These data suggest that seizure-mediated, chronic neuronal iron uptake might play a role in neuronal dysfunction/loss in TLE-HS. On the other hand, astrocytes sequester iron, specifically in chronic epilepsy. This function might transform astrocytes into a highly resistant, pro-inflammatory phenotype potentially contributing to pro-epileptogenic inflammatory processes.

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          The online version contains supplementary material available at 10.1007/s00401-021-02348-6.

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          limma powers differential expression analyses for RNA-sequencing and microarray studies

          limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
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            edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

            Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au
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              Ferroptosis: an iron-dependent form of nonapoptotic cell death.

              Nonapoptotic forms of cell death may facilitate the selective elimination of some tumor cells or be activated in specific pathological states. The oncogenic RAS-selective lethal small molecule erastin triggers a unique iron-dependent form of nonapoptotic cell death that we term ferroptosis. Ferroptosis is dependent upon intracellular iron, but not other metals, and is morphologically, biochemically, and genetically distinct from apoptosis, necrosis, and autophagy. We identify the small molecule ferrostatin-1 as a potent inhibitor of ferroptosis in cancer cells and glutamate-induced cell death in organotypic rat brain slices, suggesting similarities between these two processes. Indeed, erastin, like glutamate, inhibits cystine uptake by the cystine/glutamate antiporter (system x(c)(-)), creating a void in the antioxidant defenses of the cell and ultimately leading to iron-dependent, oxidative death. Thus, activation of ferroptosis results in the nonapoptotic destruction of certain cancer cells, whereas inhibition of this process may protect organisms from neurodegeneration. Copyright © 2012 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                e.aronica@amsterdamumc.nl
                Journal
                Acta Neuropathol
                Acta Neuropathol
                Acta Neuropathologica
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0001-6322
                1432-0533
                22 July 2021
                22 July 2021
                2021
                : 142
                : 4
                : 729-759
                Affiliations
                [1 ]GRID grid.484519.5, Department of (Neuro)Pathology, Amsterdam UMC, , University of Amsterdam, Amsterdam Neuroscience, ; Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
                [2 ]GRID grid.15090.3d, ISNI 0000 0000 8786 803X, Department of Epileptology, , University Hospital Bonn, ; Bonn, Germany
                [3 ]GRID grid.424247.3, ISNI 0000 0004 0438 0426, German Center for Neurodegenerative Diseases (DZNE), ; Bonn, Germany
                [4 ]GRID grid.7841.a, Laboratory affiliated to Istituto Pasteur Italia, Department of Physiology and Pharmacology, , University of Rome Sapienza, ; Rome, Italy
                [5 ]GRID grid.7177.6, ISNI 0000000084992262, Department Cell Biology and Histology, Amsterdam UMC, , University of Amsterdam, ; Amsterdam, The Netherlands
                [6 ]GRID grid.7177.6, ISNI 0000000084992262, Department Electron Microscopy Center Amsterdam, Amsterdam UMC, , University of Amsterdam, ; Amsterdam, The Netherlands
                [7 ]GRID grid.7692.a, ISNI 0000000090126352, Department of Neurosurgery, Brain Centre, Rudolf Magnus Institute for Neuroscience, , University Medical Center Utrecht, ; Utrecht, The Netherlands
                [8 ]GRID grid.7692.a, ISNI 0000000090126352, Department of Pathology, , University Medical Center Utrecht, ; Utrecht, The Netherlands
                [9 ]GRID grid.12380.38, ISNI 0000 0004 1754 9227, Department of Neurosurgery, Amsterdam Neuroscience, Amsterdam UMC, , Vrije Universiteit Amsterdam, ; Amsterdam, The Netherlands
                [10 ]GRID grid.421932.f, ISNI 0000 0004 0605 7243, Neurosciences Therapeutic Area, , UCB Pharma, ; Braine-l’Alleud, Belgium
                [11 ]GRID grid.7177.6, ISNI 0000000084992262, Center for Neuroscience, Swammerdam Institute for Life Sciences, , University of Amsterdam, ; Amsterdam, The Netherlands
                [12 ]GRID grid.83440.3b, ISNI 0000000121901201, Department of Clinical and Experimental Epilepsy, , UCL, ; London, UK
                [13 ]GRID grid.452379.e, ISNI 0000 0004 0386 7187, Chalfont Centre for Epilepsy, ; Chalfont St Peter, UK
                [14 ]GRID grid.419298.f, ISNI 0000 0004 0631 9143, Stichting Epilepsie Instellingen Nederland (SEIN), ; Heemstede, The Netherlands
                Author information
                http://orcid.org/0000-0002-3542-3770
                Article
                2348
                10.1007/s00401-021-02348-6
                8423709
                34292399
                82db05a4-85cd-4aa7-9fcc-c7682b3e8fc0
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 21 April 2021
                : 2 July 2021
                : 12 July 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100011102, Seventh Framework Programme;
                Award ID: 602391
                Award ID: 602102
                Award ID: 602102
                Award ID: 602102
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100006117, Epilepsiefonds;
                Award ID: 16-05
                Award ID: 20-11
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010665, H2020 Marie Skłodowska-Curie Actions;
                Award ID: 722053
                Award ID: 722053
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100007601, Horizon 2020;
                Award ID: 952455
                Award ID: 952455
                Award ID: 952455
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001826, ZonMw;
                Award ID: 95105004
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004588, Istituto Pasteur-Fondazione Cenci Bolognetti;
                Categories
                Original Paper
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Neurology
                iron,glutathione metabolism,status epilepticus,temporal lobe epilepsy with hippocampal sclerosis,astrocytes

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