POLICY AND PRACTICE REVIEWS article
Front. Neurol.
Sec. Multiple Sclerosis and Neuroimmunology
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1650256
Glial Fibrillary Acidic Protein Autoimmunity in Reversible Splenial Lesion Syndrome: Diagnostic and Therapeutic Implications
Provisionally accepted- 1Department of Neurology, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- 2Ruian City People's Hospital, Rui'an, China
- 3Department of Neurology, Huashan Hospital Fudan University, Shanghai, China
- 4Huashan Hospital Fudan University, Shanghai, China
- 5Zhejiang Chinese Medical University, Hangzhou, China
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Autoimmune GFAP astrocytopathy (GFAP-A) is a neuroinflammatory condition that often involves the brain, meninges, and spinal cord. Its characteristic MRI finding consists of linear or radial perivascular enhancement adjacent to the ventricles. While corpus callosum splenium lesions occur in only 5% of cases, association with reversible splenial lesion syndrome (RESLES) is very rare. In such instances, GFAP-A can clinically resemble viral encephalitis, making diagnosis difficult. This article discusses how to distinguish GFAP-A from viral encephalitis using clinical and auxiliary examinations when RESLES is present.
Keywords: autoimmune glial fibrillary acidic protein astrocytopathy(GFAP-A), GFAP, Splenium of corpus callosum, Corpus Callosum, RESLES, Viral Encephalitis
Received: 19 Jun 2025; Accepted: 08 Sep 2025.
Copyright: © 2025 Lin, Li, Quan, Zhangbao, Tan, Wang, Xu and Dai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xiang Li, Department of Neurology, Huashan Hospital Fudan University, Shanghai, China
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