Related Experiment Video
Updated: May 29, 2026

Experimental Approaches for Biochemical Analysis of Glial Fibrillary Acidic Protein and Its Disease-associated Variants
Published on: November 28, 2025
GFAP mutations, age at onset, and clinical subtypes in Alexander disease
1Children's National Medical Center, 111 Michigan Ave. NW, Washington, DC 20010, USA.
Objective:
To characterize Alexander disease (AxD) phenotypes and determine correlations with age at onset (AAO) and genetic mutation. AxD is an astrogliopathy usually characterized on MRI by leukodystrophy and caused by glial fibrillary acidic protein (GFAP) mutations.
Methods:
We present 30 new cases of AxD and reviewed 185 previously reported cases. We conducted Wilcoxon rank sum tests to identify variables scaling with AAO, survival analysis to identify predictors of mortality, and χ(2) tests to assess the effects of common GFAP mutations. Finally, we performed latent class analysis (LCA) to statistically define AxD subtypes.
Results:
LCA identified 2 classes of AxD. Type I is characterized by early onset, seizures, macrocephaly, motor delay, encephalopathy, failure to thrive, paroxysmal deterioration, and typical MRI features. Type II is characterized by later onset, autonomic dysfunction, ocular movement abnormalities, bulbar symptoms, and atypical MRI features. Survival analysis predicted a nearly 2-fold increase in mortality among patients with type I AxD relative to those with type II. R79 and R239 GFAP mutations were most common (16.6% and 20.3% of all cases, respectively). These common mutations predicted distinct clinical outcomes, with R239 predicting the most aggressive course.
Conclusions:
AAO and the GFAP mutation site are important clinical predictors in AxD, with clear correlations to defined patterns of phenotypic expression. We propose revised AxD subtypes, type I and type II, based on analysis of statistically defined patient groups.
Insights
Alexander disease (AxD) subtypes are defined by age at onset and GFAP mutation site, impacting clinical presentation and mortality. This study proposes two distinct AxD types based on statistical analysis of patient data.
Area of Science:
- Neuroscience
- Genetics
- Rare Diseases
Background:
- Alexander disease (AxD) is a rare astrogliopathy characterized by leukodystrophy on MRI.
- AxD is caused by mutations in the glial fibrillary acidic protein (GFAP) gene.
- Understanding AxD phenotypes and their correlation with genetic factors is crucial for diagnosis and management.
Purpose of the Study:
- To characterize Alexander disease (AxD) phenotypes.
- To determine correlations between age at onset (AAO) and GFAP genetic mutations.
- To statistically define AxD subtypes based on clinical and genetic data.
Main Methods:
- Analysis of 30 new and 185 previously reported AxD cases.
- Statistical methods including Wilcoxon rank sum tests, survival analysis, and chi-squared tests.
- Latent class analysis (LCA) to identify distinct AxD patient groups.
Main Results:
- LCA identified two AxD classes: Type I (early onset, severe symptoms) and Type II (later onset, distinct neurological features).
- Type I AxD showed a significantly higher mortality risk compared to Type II.
- Specific GFAP mutations (R79, R239) were common and correlated with distinct clinical outcomes, with R239 associated with a more aggressive disease course.
Conclusions:
- Age at onset and GFAP mutation site are key predictors of AxD phenotype and prognosis.
- The study proposes revised AxD subtypes (Type I and Type II) based on statistically defined patient groups.
- These findings enhance the understanding of AxD heterogeneity and guide clinical management.
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