2019
DOI: 10.3389/fgene.2019.01188
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S100A6 Promotes B Lymphocyte Penetration Through the Blood–Brain Barrier in Autoimmune Encephalitis

Abstract: Autoimmune encephalitis (AE) is a severe neurological disease. The brain of the AE patient is attacked by a dysregulated immune system, which is caused by the excessive production of autoantibodies against neuronal receptors and synaptic proteins. AE is also characterized by the uncontrolled B lymphocyte infiltration through the blood–brain barrier (BBB) layer, and the investigation of the underlying mechanism involved in this infiltration may facilitate the discovery of novel therapies for AE. However, few AE… Show more

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Cited by 17 publications
(27 citation statements)
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“…In another severe neurological disease, autoimmune encephalitis, S100A11 was also found to be up-regulated and hypomethylated. Along with S100A6, in this state specific S100 family members may facilitate B lymphocyte infiltration into the central nervous system through the blood-brain barrier (Tsai et al, 2019). However, it has been suggested that S100A11 does not always play a role in pathogenicity.…”
Section: Neurological Diseasesmentioning
confidence: 99%
“…In another severe neurological disease, autoimmune encephalitis, S100A11 was also found to be up-regulated and hypomethylated. Along with S100A6, in this state specific S100 family members may facilitate B lymphocyte infiltration into the central nervous system through the blood-brain barrier (Tsai et al, 2019). However, it has been suggested that S100A11 does not always play a role in pathogenicity.…”
Section: Neurological Diseasesmentioning
confidence: 99%
“…Some models use gradient descent procedures and parameter estimation iterative rounds to look for optimal predictive power across the training data space. Machine learning algorithms use multivariate, non-parametric methods that identify patterns from data that are not normally distributed and highly correlated [ 13 , 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…Figure 1 b demonstrated that the most significant CpG dinucleotides were hypo-methylated in disease samples and such result was pretty similar to previous studies. In inflammation-related diseases, such as Kawasaki disease [ 38 ] or autoimmune encephalitis [ 32 ], significant CpG dinucleotides tend to be hypo-methylated in disease samples. Figure 1 b also illustrated that one control sample was clustered into the disease set which was consistent with the result of the PCA plot.…”
Section: Resultsmentioning
confidence: 99%
“…The generated raw M850K data were first processed with GenomeStudio (Illumina, CA, USA) with the default parameters as suggested by a previous study [ 32 ]. Then, the GenomeStudio output data were subsequently analyzed with Partek Genomics Suite (Qiagen, CA, USA).…”
Section: Methodsmentioning
confidence: 99%