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Communications MedicineGenetic & Genomic MedicinePeer-reviewed journal article

Carriers of LRRK2 pathogenic variants show a milder, anatomically distinct brain signature of Parkinsons disease

Jakub KopáliD, Andrew VoiD, Qin Tao, Tanya SimuniiD, Lana M. ChahineiD, Danilo BzdokiD, Alain DagheriD

PDFDOIPreprint

Abstract

LRRK2 gene variants are a major genetic risk factor for both familial and sporadic Parkinsons disease (PD), opening an unattended window on the diseases mechanisms and potential therapies. Investigating the influence of pathogenic variants in LRRK2 gene on brain structure is a crucial step toward enabling early diagnosis and personalized treatment. Yet, despite its significance, the ways in which LRRK2 genotype affects brain structure remain largely unexplored. Work in this domain is plagued by small sample sizes and differences in cohort composition, which can obscure genuine distinctions among clinical subgroups. In this study, we overcome such important limitations by combining explicit modeling of population background variation and pattern matching. Specifically, we leveraged a large cohort of 641 participants (including 364 with a PD diagnosis) to examine MRI-detectable cortical atrophy patterns associated with the LRRK2 pathogenic variants in people with PD and non-manifesting individuals. LRRK2 PD patients exhibited milder cortical thinning compared to sporadic PD, with notable preservation in temporal and occipital regions, suggesting a distinct pattern of neurodegeneration. Non-manifesting LRRK2 carriers showed no significant cortical atrophy, indicating no structural signs of subclinical PD. We further analyzed the relationship between aggregated alpha-synuclein in cerebrospinal fluid and atrophy. We found that those with evidence of aggregated alpha-synuclein experienced pronounced neurodegeneration and increased cortical thinning, possibly defining another aggressive PD subtype. Our findings highlight avenues for distinguishing PD subtypes, which could lead to more targeted treatment approaches and a more complete understanding of Parkinsons disease progression.

Citations
4
FWCI
17.27
Field percentile
top 1%

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