henhaobio
Sign in

Scientific ReportsNeurosciencePeer-reviewed journal article

Understanding LRRK2 kinase activity in preclinical models and human subjects through quantitative analysis of LRRK2 and pRab10

Xiang WangiD, Elvira NegrouiD, Michael T. MaloneyiD, Vitaliy V. Bondar, Shan V. AndrewsiD, Manuel Montalban, Ceyda Llapashtica, Romeo D. MaciucaiD, Hoang Ngan NguyeniD, Hilda O. SolanoyiD, Annie ArguelloiD, Laralynne PrzybylaiD, Nathan J. Moerke, Sarah HuntworkiD, Anastasia G. HenryiD

PDFDOIPreprint

Abstract

Variants in the leucine-rich repeat kinase 2 (LRRK2) gene are associated with increased risk for familial and sporadic Parkinsons disease (PD). Pathogenic variants in LRRK2, including the common variant G2019S, result in increased LRRK2 kinase activity, supporting the therapeutic potential of LRRK2 kinase inhibitors for PD. To better understand the role of LRRK2 in disease and to support the clinical development of LRRK2 inhibitors, quantitative and high-throughput assays to measure LRRK2 levels and activity are needed. We developed and applied such assays to measure the levels of LRRK2 as well as the phosphorylation of LRRK2 itself or one of its substrates, Rab10 (pT73 Rab10). We observed increased LRRK2 activity in various cellular models of disease, including iPSC-derived microglia, as well as in human subjects carrying disease-linked variant in LRRK2 (G2019S). Capitalizing on the high-throughput and sensitive nature of these assays, we detected a significant reduction in LRRK2 activity in subjects carrying missense variants in LRRK2 associated with reduced disease risk. Finally, we optimized these assays to enable analysis of LRRK2 activity following inhibition in human peripheral blood mononuclear cells (PBMCs) and whole blood, demonstrating their potential utility as biomarkers to assess changes in LRRK2 expression and activity in the clinic.

Citations
50
FWCI
5.02
Field percentile
top 3%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISKalogeropul '22Christensen '18Karayel '19Nguyen '26Padmanabhan '20Yuan '24
85% semantic matchNeuroscience
Alexia F. Kalogeropulou, Elena Purlyte, Francesca Tonelli+6 more·Biochemical Journal·Aug 11, 2022· 130 citations