Literature DB >> 32983134

Commentary: Epidemiology of Antibody-Positive Autoimmune Encephalitis in Southwest China: A Multicenter Study.

Yanbing Zhou1, Zirui Meng1, Binwu Ying1.   

Abstract

Entities:  

Keywords:  autoimmune encephalitis; epidemiology; glasgow outcome scale; modified rankin scale; neuronal autoantibodies; response to immunotherapy in epilepsy and encephalopathy score; thyroid peroxidase antibodies

Year:  2020        PMID: 32983134      PMCID: PMC7484618          DOI: 10.3389/fimmu.2020.01976

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


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Recently, Gu et al. reported an epidemiological survey about autoimmune encephalitis (AE) in southwestern China, involving six large general hospitals in Chongqing (1). Their study revealed the underlying relationship between several factors and disease severity (1). Although there have been no large-scale epidemiological investigations of AE in China prior to this report (1), the conclusions of this research would have been more reliable had the following concerns been addressed. First, the limited scale of this epidemiological investigation merits discussion. The detailed epidemiological features of AE in southwestern China were presented in this multicenter study involving six large general hospitals in the Chongqing area. These six general hospitals in Chongqing were limited to reflect the epidemiological features of AE patients in the southwestern region of China. Moreover, it is noteworthy that researchers excluded patients with thyroid disease (1). However, some patients with Hashimoto's encephalopathy (HE), which is an important cause of autoimmune encephalopathy, may be neglected. High titers of thyroid peroxidase antibodies (TPO-Ab) is generally detected in HE patients (2). And morbidity of HE is estimated to be 2.1/100,000 in adults (3). Additionally, TPO-Ab detection was recommended to be tested in the systematic diagnosis per the clinical diagnosis criteria of AE published in 2016 (4). Therefore, it is quite likely to miss potential patients with AE by excluding patients with thyroid disease. Also, the methods of antibody detection in the publication need to be further elaborated. According to the 2016 clinical diagnosis criteria of AE, antibody detection in definite AE-like encephalitis with anti-NMDA receptor antibody-positive status should include cerebrospinal fluid (CSF) testing with cell-based assay (CBA) and with confirmatory tests like tissue immunohistochemistry based on animals' brain tissue (4). The tissue immunohistochemistry has been widely used by some studies of AE (5–7). In the author's study, only CBA based on indirect immunofluorescence (IIF) assay was performed to analyze both the CSF and serum of each patient (1). Thus, owing to significant inter-operator variability in CBA performed by different technologists, the standard of determining antibody titers should be explained in detail. Further, the assessment scale of disease severity in research needs more discussion. The authors have used the Glasgow Outcome Scale (GOS) to evaluate factors that may be associated with disease prognosis (1). The GOS was initially designed to predict the outcome after brain injury-like traumas (8–11). However, some researchers have indicated that GOS has some deficiencies because it cannot detect minor brain damage (12). Therefore, we suggest that it would be better if the researchers could combine GOS with some scales that are more appropriate to predict the outcome of AE. Although no specific scale has been designed yet to predict AE prognosis (13), some studies have supported the use of the modified Rankin Scale (mRS), which is more frequently used in the evaluation of AE prognosis (14–17). Another scale called the Response to Immunotherapy in Epilepsy and Encephalopathy score (RITE2 score) has also been used to evaluate and manage autoimmune-epilepsy (18, 19). In summary, this is a meaningful report providing epidemiological data about the antibody distribution in AE in the Chongqing area, along with revealing the factors associated with poor prognosis of AE. Despite some of the above-mentioned concerns, this study would be helpful to researchers and clinicians alike to gain more insight into AE.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  19 in total

1.  Treatment and prognostic factors for long-term outcome in patients with anti-NMDA receptor encephalitis: an observational cohort study.

Authors:  Maarten J Titulaer; Lindsey McCracken; Iñigo Gabilondo; Thaís Armangué; Carol Glaser; Takahiro Iizuka; Lawrence S Honig; Susanne M Benseler; Izumi Kawachi; Eugenia Martinez-Hernandez; Esther Aguilar; Núria Gresa-Arribas; Nicole Ryan-Florance; Abiguei Torrents; Albert Saiz; Myrna R Rosenfeld; Rita Balice-Gordon; Francesc Graus; Josep Dalmau
Journal:  Lancet Neurol       Date:  2013-01-03       Impact factor: 44.182

2.  Development of the clinical assessment scale in autoimmune encephalitis.

Authors:  Jung-Ah Lim; Soon-Tae Lee; Jangsup Moon; Jin-Sun Jun; Tae-Joon Kim; Yong-Won Shin; Suhailah Abdullah; Jung-Ick Byun; Jun-Sang Sunwoo; Keun Tae Kim; Tae-Won Yang; Woo-Jin Lee; Hye-Jin Moon; Dong Wook Kim; Byung Chan Lim; Yong Won Cho; Tae-Ho Yang; Hee Jin Kim; Young-Soo Kim; Yong Seo Koo; Byeongsu Park; Keun-Hwa Jung; Manho Kim; Kyung-Il Park; Ki-Young Jung; Kon Chu; Sang Kun Lee
Journal:  Ann Neurol       Date:  2019-02-10       Impact factor: 10.422

3.  Predictors of neural-specific autoantibodies and immunotherapy response in patients with cognitive dysfunction.

Authors:  Divyanshu Dubey; Naga Kothapalli; Andrew McKeon; Eoin P Flanagan; Vanda A Lennon; Christopher J Klein; Jeffrey W Britton; Elson So; Bradley F Boeve; Jan-Mendelt Tillema; Reza Sadjadi; Sean J Pittock
Journal:  J Neuroimmunol       Date:  2018-07-25       Impact factor: 3.478

4.  Measuring the outcome from head injuries.

Authors:  T W Langfitt
Journal:  J Neurosurg       Date:  1978-05       Impact factor: 5.115

5.  Screening for autoantibodies in inflammatory neurological syndrome using fluorescence pattern in a tissue-based assay: Cerebrospinal fluid findings from 793 patients.

Authors:  Tianni Liu; Baikeng Chen; Huacai Yang; Jiehong Huang; Si Liu; Xinguang Yang; Li Huang; Haiyan Yao; Wei Qiu; Honghua Zhuang; Youming Long; Cong Gao
Journal:  Mult Scler Relat Disord       Date:  2018-12-29       Impact factor: 4.339

6.  Validity of a pediatric version of the Glasgow Outcome Scale-Extended.

Authors:  Sue R Beers; Stephen R Wisniewski; Pamela Garcia-Filion; Ye Tian; Thomas Hahner; Rachel P Berger; Michael J Bell; P David Adelson
Journal:  J Neurotrauma       Date:  2012-04-10       Impact factor: 5.269

Review 7.  Autoimmune Epilepsy.

Authors:  Khalil S Husari; Divyanshu Dubey
Journal:  Neurotherapeutics       Date:  2019-07       Impact factor: 7.620

8.  Antibody titres at diagnosis and during follow-up of anti-NMDA receptor encephalitis: a retrospective study.

Authors:  Nuria Gresa-Arribas; Maarten J Titulaer; Abiguei Torrents; Esther Aguilar; Lindsey McCracken; Frank Leypoldt; Amy J Gleichman; Rita Balice-Gordon; Myrna R Rosenfeld; David Lynch; Francesc Graus; Josep Dalmau
Journal:  Lancet Neurol       Date:  2013-12-18       Impact factor: 44.182

9.  Rituximab treatment for autoimmune limbic encephalitis in an institutional cohort.

Authors:  Woo-Jin Lee; Soon-Tae Lee; Jung-Ick Byun; Jun-Sang Sunwoo; Tae-Joon Kim; Jung-Ah Lim; Jangsup Moon; Han Sang Lee; Yong-Won Shin; Keon-Joo Lee; Soyun Kim; Keun-Hwa Jung; Ki-Young Jung; Kon Chu; Sang Kun Lee
Journal:  Neurology       Date:  2016-04-01       Impact factor: 9.910

Review 10.  Hashimoto's Encephalopathy and Seizure Disorders.

Authors:  Jie Li; Fengzhen Li
Journal:  Front Neurol       Date:  2019-05-08       Impact factor: 4.003

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