@article{09101e3fe7794ed8b3a6f512d2910ead,
title = "Putative autoantigen leiomodin-1 is expressed in the human brain and in the membrane fraction of newly formed neurons",
abstract = "Nodding syndrome is a pediatric epilepsy disorder associated with Onchocerca volvulus infection, but the mechanism driving this relationship is unclear. One hypothesis proposes that parasite-induced immune responses cross-react with human leiomodin-1 resulting in immune-mediated central nervous system (CNS) damage. However, as leiomodin-1 expression and epitope availability in human neurons remains uncharacterized, the relevance of leiomodin-1 autoimmunity is unknown. Leiomodin-1 transcript expression was assessed in silico using publicly available ribonucleic acid (RNA) sequencing databases and in tissue by in situ hybridization and quantitative polymerase chain reaction. Abundance and subcellular localization were examined by cell fractionation and immunoblotting. Leiomodin-1 transcripts were expressed in cells of the CNS, including neurons and astrocytes. Protein was detectable from all brain regions examined as well as from representative cell lines and in vitro differentiated neurons and astrocytes. Leiomodin-1 was expressed on the membrane of newly formed neurons, but not neural progenitor cells or mature neurons. Importantly, leiomodin-1 antibodies were only toxic to cells expressing leiomodin-1 on the membrane. Our findings provide evidence that leiomodin-1 is expressed in human neurons and glia. Furthermore, we show membrane expression mediates leiomodin-1 antibody toxicity, suggesting these antibodies may play a role in pathogenesis.",
keywords = "Autoantibody, CNS, Leiomodin-1, Membrane, Neuron, Nodding syndrome",
author = "Nauen, {David W.} and Michael Haffner and Juyun Kim and Qizhi Zheng and Hao Yin and Demarzo, {Angelo M.} and Vasiliki Machairaki and Carlo Colantuoni and Pickering, {J. Geoffrey} and Johnson, {Tory P.}",
note = "Funding Information: Funding: This work was supported by Johns Hopkins School of Medicine, departments of neurology and pathology, the Canadian Institutes of Health Research (FDN-143326), and the rapid autopsy program at Johns Hopkins University is supported by National Cancer Institute Cancer Center Support Grants (P30CA006973-54). Funding Information: Single cell sequencing data were retrieved from Gene Expression Omnibus (GEO) database, (www.ncbi.nlm.nih.gov/geo; accession no. GSE67835), which contains sequence data from human cortical tissue from eight adults and four embryonic samples ranging from 16 to 18 gestational weeks in age [15]. We retrieved expression data for LMOD1 from two public data sets: (1) BrainSpan bulk RNAseq data from post-mortem human brain tissue ranging from prenatal to age 40 years (http://www.brainspan.org/) [22] and (2) Cortecon bulk RNAseq data from human embryonic stem cellderived in vitro neural differentiation spanning pluripotency through 77 days of differentiation to post-mitotic neurons (http://cortecon.neuralsci.org/) [23]. All analysis and visualization were carried out in the R statistical language (https://www.r-project.org/). Data were also obtained from the Genotype-Tissue Expression (GTEx) project. The GTEx project was supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by the National Cancer Institute, National Human Genome Research Institute, National Heart, Lung, and Blood Institute, National Institute on Drug Abuse, National Institute of Mental Health, and National Institute of Neurological Disorders and Stroke. The data used for the analyses described in this manuscript were obtained from the GTEx portal (https://gtexportal.org/home/) on 15 October 2020 using Ensembl gene ID ENSG00000163431.12. Data were normalized as previously described (https://gtexportal.org/home/ documentationPage#staticTextAnalysisMethods). Publisher Copyright: {\textcopyright} 2020 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2020",
month = dec,
doi = "10.3390/pathogens9121036",
language = "English (US)",
volume = "9",
pages = "1--16",
journal = "Pathogens",
issn = "2076-0817",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "12",
}