Deng Sui, Zhang Miaoyi, Zhang Tongtong, Mao Rui
Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.
Clinical Medicine, School of Clinical Medicine, Dali University, Dali, China.
Medicine (Baltimore). 2025 Jul 18;104(29):e43447. doi: 10.1097/MD.0000000000043447.
The relationship between proteomics and atopic dermatitis (AD) remains underexplored but holds significant potential for therapeutic intervention. We analyzed data from a longitudinal cohort of 51,458 UK Biobank participants to investigate the relationship between AD risk and serum levels of 2923 proteins. Multivariate Cox regression was initially applied to evaluate associations between protein concentrations and AD incidence. Subsequently, two-sample Mendelian randomization (MR), summary-data-based MR, and colocalization analyses were conducted to establish genetic associations with AD. Our analysis identified 23 proteins significantly associated with AD risk. Two-sample MR further validated ten proteins exhibiting robust causal relationships with AD. Comprehensive assessments using summary-data-based MR, colocalization, and differential expression analyses pinpointed 5 key proteins - CACYBP, CETN3, MOCS2, TNFAIP8, and PVALB - with potential protective effects against AD. A novel protein-based scoring system, integrating these biomarkers with inflammatory markers, achieved superior predictive accuracy for AD onset (area under the curve = 0.833), outperforming both the polygenic risk score and eosinophil percentage. This extensive proteomic and genetic study within a European adult cohort provides compelling causal evidence for several proteins as potential biomarkers for AD, offering new avenues for early diagnosis and therapeutic development.
蛋白质组学与特应性皮炎(AD)之间的关系尚未得到充分探索,但具有显著的治疗干预潜力。我们分析了来自51458名英国生物银行参与者的纵向队列数据,以研究AD风险与2923种蛋白质血清水平之间的关系。最初应用多变量Cox回归来评估蛋白质浓度与AD发病率之间的关联。随后,进行了两样本孟德尔随机化(MR)、基于汇总数据的MR和共定位分析,以建立与AD的遗传关联。我们的分析确定了23种与AD风险显著相关的蛋白质。两样本MR进一步验证了10种与AD存在强因果关系的蛋白质。使用基于汇总数据的MR、共定位和差异表达分析进行的综合评估确定了5种关键蛋白质——钙周期蛋白结合蛋白(CACYBP)、中心体蛋白3(CETN3)、钼辅因子合成酶2(MOCS2)、肿瘤坏死因子α诱导蛋白8(TNFAIP8)和小白蛋白(PVALB)——对AD具有潜在保护作用。一种将这些生物标志物与炎症标志物相结合的新型蛋白质评分系统,对AD发病具有更高的预测准确性(曲线下面积 = 0.833),优于多基因风险评分和嗜酸性粒细胞百分比。在欧洲成年队列中进行的这项广泛的蛋白质组学和遗传学研究为几种蛋白质作为AD的潜在生物标志物提供了有力的因果证据,为早期诊断和治疗开发提供了新途径。