Clinical and neuroimaging phenotypes of autoimmune glial fibrillary acidic protein astrocytopathy: A systematic review and meta-analysis.

GFAP protein, human central nervous system diseases encephalopathy magnetic resonance imaging systematic review

Journal

European journal of neurology
ISSN: 1468-1331
Titre abrégé: Eur J Neurol
Pays: England
ID NLM: 9506311

Informations de publication

Date de publication:
20 Mar 2024
Historique:
revised: 13 02 2024
received: 09 11 2023
accepted: 05 03 2024
medline: 20 3 2024
pubmed: 20 3 2024
entrez: 20 3 2024
Statut: aheadofprint

Résumé

This study was undertaken to provide a comprehensive review of neuroimaging characteristics and corresponding clinical phenotypes of autoimmune glial fibrillary acidic protein astrocytopathy (GFAP-A), a rare but severe neuroinflammatory disorder, to facilitate early diagnosis and appropriate treatment. A PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis)-conforming systematic review and meta-analysis was performed on all available data from January 2016 to June 2023. Clinical and neuroimaging phenotypes were extracted for both adult and paediatric forms. A total of 93 studies with 681 cases (55% males; median age = 46, range = 1-103 years) were included. Of these, 13 studies with a total of 535 cases were eligible for the meta-analysis. Clinically, GFAP-A was often preceded by a viral prodromal state (45% of cases) and manifested as meningitis, encephalitis, and/or myelitis. The most common symptoms were headache, fever, and movement disturbances. Coexisting autoantibodies (45%) and neoplasms (18%) were relatively frequent. Corticosteroid treatment resulted in partial/complete remission in a majority of cases (83%). Neuroimaging often revealed T2/fluid-attenuated inversion recovery (FLAIR) hyperintensities (74%) as well as perivascular (45%) and/or leptomeningeal (30%) enhancement. Spinal cord abnormalities were also frequent (49%), most commonly manifesting as longitudinally extensive myelitis. There were 88 paediatric cases; they had less prominent neuroimaging findings with lower frequencies of both T2/FLAIR hyperintensities (38%) and contrast enhancement (19%). This systematic review and meta-analysis provide high-level evidence for clinical and imaging phenotypes of GFAP-A, which will benefit the identification and clinical workup of suspected cases. Differential diagnostic cues to distinguish GFAP-A from common clinical and imaging mimics are provided as well as suitable magnetic resonance imaging protocol recommendations.

Identifiants

pubmed: 38506182
doi: 10.1111/ene.16284
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e16284

Subventions

Organisme : University of Zurich, UZH Alumni
Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
ID : P400PM_183884
Organisme : ALF Medicine
ID : ALF 20200224
Organisme : CIMED
ID : FoUI-976444

Informations de copyright

© 2024 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

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Auteurs

Caroline Hagbohm (C)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.

Russell Ouellette (R)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.

Eoin P Flanagan (EP)

Department of Neurology, Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.

Dagur I Jonsson (DI)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neurophysiology, Karolinska University Hospital, Stockholm, Sweden.

Fredrik Piehl (F)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Centre for Neurology, Academic Specialist Centre, Karolinska University Hospital, Stockholm, Sweden.

Brenda Banwell (B)

Division of Child Neurology, Children's Hospital of Philadelphia, Department of Neurology and Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Ronny Wickström (R)

Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden.

Ellen Iacobaeus (E)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.

Tobias Granberg (T)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.

Benjamin V Ineichen (BV)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Center for Reproducible Science, University of Zürich, Zürich, Switzerland.

Classifications MeSH