Back

Genetic background shapes SEZ6L2 autoimmunity and reveals coordinated immune responses linked to neurological dysfunction

Reyes-Sepulveda, C. J.; Randolph, J.; Granato, J. M.; Hobbins, A.; Hammond, J. W.

2026-04-03 immunology
10.64898/2026.03.31.715689 bioRxiv
Show abstract

SEZ6L2 autoantibodies have been identified in patients with subacute cerebellar ataxia, but the underlying immune mechanisms and pathogenic pathways remain poorly understood. We previously established a C57BL/6 mouse model of SEZ6L2 autoimmunity that recapitulates key features of the disease. Here, we evaluated whether genetic background influences the magnitude and organization of SEZ6L2-directed immune responses. Pilot screening of autoimmune-prone strains identified SJL mice as exhibiting accelerated and enhanced antibody responses following SEZ6L2 immunization. In a large-cohort study, SEZ6L2-immunized SJL mice developed robust and sustained antibody responses, along with antigen-specific CD4 and CD8 T-cell activation. Expanded immune profiling revealed increased CNS infiltration of multiple lymphocyte populations, including CD4 T cells, CD8 T cells, B cells, and dendritic cells, as well as the presence of SEZ6L2-specific B cells within the brain. In addition, SJL mice exhibited strain-specific immunodominant T-cell epitopes distinct from those observed in C57BL/6 mice. Functionally, SEZ6L2-immunized SJL mice developed motor deficits consistent with cerebellar dysfunction. Integration of behavioral outcomes demonstrated a consistent overall impairment, and multivariate analysis revealed that coordinated humoral and cellular immune responses were associated with behavioral deficits. Together, these findings demonstrate that SEZ6L2-directed immune responses produce coordinated adaptive immune activation linked to neurological dysfunction and establish the SJL strain as an enhanced model for studying SEZ6L2 autoimmunity. This model also provides a platform for investigating disease mechanisms and therapeutic strategies.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Immunity
58 papers in training set
Top 0.1%
18.7%
2
JCI Insight
241 papers in training set
Top 0.2%
10.1%
3
Journal of Clinical Investigation
164 papers in training set
Top 0.1%
9.2%
4
Brain
154 papers in training set
Top 0.9%
6.4%
5
Nature Communications
4913 papers in training set
Top 35%
4.3%
6
Cell Reports
1338 papers in training set
Top 13%
4.0%
50% of probability mass above
7
Science Translational Medicine
111 papers in training set
Top 0.8%
3.7%
8
Cell Reports Medicine
140 papers in training set
Top 2%
3.3%
9
Science Immunology
81 papers in training set
Top 0.7%
2.7%
10
Journal of Experimental Medicine
106 papers in training set
Top 1%
2.6%
11
Alzheimer's & Dementia
143 papers in training set
Top 2%
2.1%
12
eLife
5422 papers in training set
Top 35%
2.1%
13
Acta Neuropathologica
51 papers in training set
Top 0.5%
1.9%
14
iScience
1063 papers in training set
Top 13%
1.8%
15
Neuron
282 papers in training set
Top 6%
1.7%
16
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 36%
1.3%
17
Journal of Allergy and Clinical Immunology
25 papers in training set
Top 0.5%
1.1%
18
Neurobiology of Disease
134 papers in training set
Top 3%
1.0%
19
Annals of Neurology
57 papers in training set
Top 2%
0.8%
20
The Journal of Immunology
146 papers in training set
Top 1%
0.8%
21
Annals of the Rheumatic Diseases
32 papers in training set
Top 0.7%
0.7%
22
Human Molecular Genetics
130 papers in training set
Top 3%
0.7%
23
Gastroenterology
40 papers in training set
Top 2%
0.7%
24
Molecular Therapy
71 papers in training set
Top 3%
0.7%
25
Arthritis & Rheumatology
33 papers in training set
Top 0.5%
0.7%
26
mBio
750 papers in training set
Top 12%
0.7%
27
Genome Medicine
154 papers in training set
Top 9%
0.6%