Phillips Bridget, Western Daniel, Wang Lihua, Timsina Jigyasha, Sun Yichen, Gorijala Priyanka, Yang Chengran, Do Anh, Nykänen Niko-Petteri, Alvarez Ignacio, Aguilar Miquel, Pastor Pau, Morris John C, Schindler Suzanne E, Fagan Anne M, Puerta Raquel, García-González Pablo, de Rojas Itziar, Marquié Marta, Boada Mercè, Ruiz Agustin, Perlmutter Joel S, Ibanez Laura, Perrin Richard J, Sung Yun Ju, Cruchaga Carlos
Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA.
NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA.
NPJ Parkinsons Dis. 2023 Jul 8;9(1):107. doi: 10.1038/s41531-023-00555-4.
Common and rare variants in the LRRK2 locus are associated with Parkinson's disease (PD) risk, but the downstream effects of these variants on protein levels remain unknown. We performed comprehensive proteogenomic analyses using the largest aptamer-based CSF proteomics study to date (7006 aptamers (6138 unique proteins) in 3107 individuals). The dataset comprised six different and independent cohorts (five using the SomaScan7K (ADNI, DIAN, MAP, Barcelona-1 (Pau), and Fundació ACE (Ruiz)) and the PPMI cohort using the SomaScan5K panel). We identified eleven independent SNPs in the LRRK2 locus associated with the levels of 25 proteins as well as PD risk. Of these, only eleven proteins have been previously associated with PD risk (e.g., GRN or GPNMB). Proteome-wide association study (PWAS) analyses suggested that the levels of ten of those proteins were genetically correlated with PD risk, and seven were validated in the PPMI cohort. Mendelian randomization analyses identified GPNMB, LCT, and CD68 causal for PD and nominate one more (ITGB2). These 25 proteins were enriched for microglia-specific proteins and trafficking pathways (both lysosome and intracellular). This study not only demonstrates that protein phenome-wide association studies (PheWAS) and trans-protein quantitative trail loci (pQTL) analyses are powerful for identifying novel protein interactions in an unbiased manner, but also that LRRK2 is linked with the regulation of PD-associated proteins that are enriched in microglial cells and specific lysosomal pathways.
LRRK2基因座中的常见和罕见变异与帕金森病(PD)风险相关,但这些变异对蛋白质水平的下游影响尚不清楚。我们使用了迄今为止最大的基于适配体的脑脊液蛋白质组学研究(3107名个体中的7006个适配体(6138种独特蛋白质))进行了全面的蛋白质基因组分析。该数据集包括六个不同且独立的队列(五个使用SomaScan7K(ADNI、DIAN、MAP、巴塞罗那-1( Pau)和Fundació ACE(Ruiz))以及使用SomaScan5K面板的PPMI队列)。我们在LRRK2基因座中鉴定出11个独立的单核苷酸多态性(SNP),它们与25种蛋白质的水平以及PD风险相关。其中,只有11种蛋白质之前被认为与PD风险相关(例如,GRN或GPNMB)。全蛋白质组关联研究(PWAS)分析表明,其中10种蛋白质的水平与PD风险存在遗传相关性,并且有7种在PPMI队列中得到了验证。孟德尔随机化分析确定GPNMB、LCT和CD68是PD的因果因素,并提名了另外一个(ITGB2)。这25种蛋白质在小胶质细胞特异性蛋白质和运输途径(溶酶体和细胞内途径)中富集。这项研究不仅表明蛋白质表型组全关联研究(PheWAS)和跨蛋白质定量性状位点(pQTL)分析对于以无偏倚的方式识别新型蛋白质相互作用非常有效,而且还表明LRRK2与富含小胶质细胞和特定溶酶体途径的PD相关蛋白质的调节有关。