Unit on Cellular Stress in Development and Diseases, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892, United States.
Center for Advanced Biotechnology and Medicine, Rutgers Biomedical Health Sciences, Piscataway, New Jersey 08854, United States.
J Proteome Res. 2023 Jul 7;22(7):2493-2508. doi: 10.1021/acs.jproteome.3c00199. Epub 2023 Jun 20.
Syndromic CLN3-Batten is a fatal, pediatric, neurodegenerative disease caused by variants in , which encodes the endolysosomal transmembrane CLN3 protein. No approved treatment for CLN3 is currently available. The protracted and asynchronous disease presentation complicates the evaluation of potential therapies using clinical disease progression parameters. Biomarkers as surrogates to measure the progression and effect of potential therapeutics are needed. We performed proteomic discovery studies using cerebrospinal fluid (CSF) samples from 28 CLN3-affected and 32 age-similar non-CLN3 individuals. Proximal extension assay (PEA) of 1467 proteins and untargeted data-dependent mass spectrometry [MS; MassIVE FTP server (ftp://MSV000090147@massive.ucsd.edu)] were used to generate orthogonal lists of protein marker candidates. At an adjusted -value of <0.1 and threshold CLN3/non-CLN3 fold-change ratio of 1.5, PEA identified 54 and MS identified 233 candidate biomarkers. Some of these (NEFL, CHIT1) have been previously linked with other neurologic conditions. Others (CLPS, FAM217B, QRICH2, KRT16, ZNF333) appear to be novel. Both methods identified 25 candidate biomarkers, including CHIT1, NELL1, and ISLR2 which had absolute fold-change ratios >2. NELL1 and ISLR2 regulate axonal development in neurons and are intriguing new candidates for further investigation in CLN3. In addition to identifying candidate proteins for CLN3 research, this study provides a comparison of two large-scale proteomic discovery methods in CSF.
CLN3 神经氨酸酶病是一种致命的儿科神经退行性疾病,由编码溶酶体跨膜 CLN3 蛋白的基因变异引起。目前尚无针对 CLN3 的批准治疗方法。该病的发病过程漫长且不同步,这使得使用临床疾病进展参数来评估潜在治疗方法变得复杂。需要生物标志物作为替代物来衡量潜在治疗药物的进展和效果。我们使用 28 例 CLN3 受累者和 32 例年龄相似的非 CLN3 个体的脑脊液 (CSF) 样本进行了蛋白质组学发现研究。使用 1467 种蛋白质的近端扩展测定法 (PEA) 和非靶向数据依赖型质谱 [MS;MassIVE FTP 服务器 (ftp://MSV000090147@massive.ucsd.edu)] 生成了蛋白质标记候选物的正交列表。在调整后的 -值<0.1 和 CLN3/非 CLN3 倍数变化阈值为 1.5 的情况下,PEA 鉴定出 54 种候选生物标志物,MS 鉴定出 233 种候选生物标志物。其中一些(NEFL、CHIT1)先前与其他神经疾病有关。其他一些(CLPS、FAM217B、QRICH2、KRT16、ZNF333)似乎是新的。两种方法都鉴定出 25 种候选生物标志物,包括 CHIT1、NELL1 和 ISLR2,它们的绝对倍数变化比>2。NELL1 和 ISLR2 调节神经元中的轴突发育,是 CLN3 进一步研究的有趣新候选物。除了鉴定 CLN3 研究的候选蛋白外,本研究还比较了 CSF 中两种大规模蛋白质组学发现方法。