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Anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors
BACKGROUND: Neuroimmunology is a rapidly expanding field, and there have been recent discoveries of new antibodies and neurological syndromes. Most of the current clinical studies have focused on disorders involving one specific antibody. We have summarized a class of antibodies that target common n...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647466/ https://www.ncbi.nlm.nih.gov/pubmed/34872566 http://dx.doi.org/10.1186/s12974-021-02259-z |
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author | Liao, Shaohua Li, Chuanfen Bi, Xiaoying Guo, Hongwei Qian, Ying Liu, Xiaobei Miao, Shuai Hu, Huaiqiang Cao, Bingzhen |
author_facet | Liao, Shaohua Li, Chuanfen Bi, Xiaoying Guo, Hongwei Qian, Ying Liu, Xiaobei Miao, Shuai Hu, Huaiqiang Cao, Bingzhen |
author_sort | Liao, Shaohua |
collection | PubMed |
description | BACKGROUND: Neuroimmunology is a rapidly expanding field, and there have been recent discoveries of new antibodies and neurological syndromes. Most of the current clinical studies have focused on disorders involving one specific antibody. We have summarized a class of antibodies that target common neuronal epitopes, and we have proposed the term “anti-neuron antibody syndrome” (ANAS). In this study, we aimed to clarify the clinical range and analyse the clinical features, cytokines/chemokines and predictors in ANAS. METHODS: This was a retrospective cohort study investigating patients with neurological manifestations that were positive for anti-neuron antibodies. RESULTS: A total of 110 patients were identified, of which 43 patients were classified as having autoimmune encephalitis (AE) and the other 67 were classified as having paraneoplastic neurological syndrome (PNS). With regards to anti-neuron antibodies, 42 patients tested positive for anti-N-methyl-D-aspartate receptor (NMDAR) antibody, 19 for anti-Hu, 14 for anti-Yo and 12 for anti-PNMA2 (Ma2). There were significant differences between the ANAS and control groups in serum B cell-activating factor (BAFF) levels and in cerebrospinal fluid (CSF) C-X-C motif chemokine10 (CXCL10), CXCL13, interleukin10 (IL10), BAFF and transforming growth factor β1 (TGFβ1) levels. Predictors of poor outcomes included having tumours (P = 0.0193) and having a chronic onset (P = 0.0306), and predictors of relapses included having lower levels of CSF BAFF (P = 0.0491) and having a larger ratio of serum TGFβ1/serum CXCL13 (P = 0.0182). CONCLUSIONS: Most patients with ANAS had a relatively good prognosis. Having tumours and a chronic onset were both associated with poor outcomes. CSF BAFF and the ratio of serum TGFβ1/serum CXCL13 were associated with relapses. |
format | Online Article Text |
id | pubmed-8647466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86474662021-12-07 Anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors Liao, Shaohua Li, Chuanfen Bi, Xiaoying Guo, Hongwei Qian, Ying Liu, Xiaobei Miao, Shuai Hu, Huaiqiang Cao, Bingzhen J Neuroinflammation Research BACKGROUND: Neuroimmunology is a rapidly expanding field, and there have been recent discoveries of new antibodies and neurological syndromes. Most of the current clinical studies have focused on disorders involving one specific antibody. We have summarized a class of antibodies that target common neuronal epitopes, and we have proposed the term “anti-neuron antibody syndrome” (ANAS). In this study, we aimed to clarify the clinical range and analyse the clinical features, cytokines/chemokines and predictors in ANAS. METHODS: This was a retrospective cohort study investigating patients with neurological manifestations that were positive for anti-neuron antibodies. RESULTS: A total of 110 patients were identified, of which 43 patients were classified as having autoimmune encephalitis (AE) and the other 67 were classified as having paraneoplastic neurological syndrome (PNS). With regards to anti-neuron antibodies, 42 patients tested positive for anti-N-methyl-D-aspartate receptor (NMDAR) antibody, 19 for anti-Hu, 14 for anti-Yo and 12 for anti-PNMA2 (Ma2). There were significant differences between the ANAS and control groups in serum B cell-activating factor (BAFF) levels and in cerebrospinal fluid (CSF) C-X-C motif chemokine10 (CXCL10), CXCL13, interleukin10 (IL10), BAFF and transforming growth factor β1 (TGFβ1) levels. Predictors of poor outcomes included having tumours (P = 0.0193) and having a chronic onset (P = 0.0306), and predictors of relapses included having lower levels of CSF BAFF (P = 0.0491) and having a larger ratio of serum TGFβ1/serum CXCL13 (P = 0.0182). CONCLUSIONS: Most patients with ANAS had a relatively good prognosis. Having tumours and a chronic onset were both associated with poor outcomes. CSF BAFF and the ratio of serum TGFβ1/serum CXCL13 were associated with relapses. BioMed Central 2021-12-06 /pmc/articles/PMC8647466/ /pubmed/34872566 http://dx.doi.org/10.1186/s12974-021-02259-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liao, Shaohua Li, Chuanfen Bi, Xiaoying Guo, Hongwei Qian, Ying Liu, Xiaobei Miao, Shuai Hu, Huaiqiang Cao, Bingzhen Anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors |
title | Anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors |
title_full | Anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors |
title_fullStr | Anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors |
title_full_unstemmed | Anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors |
title_short | Anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors |
title_sort | anti-neuron antibody syndrome: clinical features, cytokines/chemokines and predictors |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647466/ https://www.ncbi.nlm.nih.gov/pubmed/34872566 http://dx.doi.org/10.1186/s12974-021-02259-z |
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