{"title":"对阿尔茨海默病病例的大规模蛋白质组分析揭示了新的病理生理学观点和潜在的治疗靶点","authors":"Yi Zhang, Yu Guo, Yu He, Jia You, YaRu Zhang, LinBo Wang, ShiDong Chen, XiaoYu He, Liu Yang, YuYuan Huang, JuJiao Kang, YiJun Ge, Qiang Dong, JianFeng Feng, Wei Cheng, JinTai Yu","doi":"10.1038/s41380-024-02840-x","DOIUrl":null,"url":null,"abstract":"<p>Pathophysiological evolutions in early-stage Alzheimer’s disease (AD) are not well understood. We used data of 2923 Olink plasma proteins from 51,296 non-demented middle-aged adults. During a follow-up of 15 years, 689 incident AD cases occurred. Cox-proportional hazard models were applied to identify AD-associated proteins in different time intervals. Through linking to protein categories, changing sequences of protein z-scores can reflect pathophysiological evolutions. Mendelian randomization using blood protein quantitative loci data provided causal evidence for potentially druggable proteins. We identified 48 AD-related proteins, with CEND1, GFAP, NEFL, and SYT1 being top hits in both near-term (HR:1.15–1.77; <i>P</i>:9.11 × 10<sup>−65</sup>–2.78 × 10<sup>−6</sup>) and long-term AD risk (HR:1.20-1.54; <i>P</i>:2.43 × 10<sup>−21</sup>–3.95 × 10<sup>−6</sup>). These four proteins increased 15 years before AD diagnosis and progressively escalated, indicating early and sustained dysfunction in synapse and neurons. Proteins related to extracellular matrix organization, apoptosis, innate immunity, coagulation, and lipid homeostasis showed early disturbances, followed by malfunctions in metabolism, adaptive immunity, and final synaptic and neuronal loss. Combining CEND1, GFAP, NEFL, and SYT1 with demographics generated desirable predictions for 10-year (AUC = 0.901) and over-10-year AD (AUC = 0.864), comparable to full model. Mendelian randomization supports potential genetic link between CEND1, SYT1, and AD as outcome. Our findings highlight the importance of exploring the pathophysiological evolutions in early stages of AD, which is essential for the development of early biomarkers and precision therapeutics.</p>","PeriodicalId":19008,"journal":{"name":"Molecular Psychiatry","volume":"6 1","pages":""},"PeriodicalIF":9.6000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Large-scale proteomic analyses of incident Alzheimer’s disease reveal new pathophysiological insights and potential therapeutic targets\",\"authors\":\"Yi Zhang, Yu Guo, Yu He, Jia You, YaRu Zhang, LinBo Wang, ShiDong Chen, XiaoYu He, Liu Yang, YuYuan Huang, JuJiao Kang, YiJun Ge, Qiang Dong, JianFeng Feng, Wei Cheng, JinTai Yu\",\"doi\":\"10.1038/s41380-024-02840-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Pathophysiological evolutions in early-stage Alzheimer’s disease (AD) are not well understood. We used data of 2923 Olink plasma proteins from 51,296 non-demented middle-aged adults. During a follow-up of 15 years, 689 incident AD cases occurred. Cox-proportional hazard models were applied to identify AD-associated proteins in different time intervals. Through linking to protein categories, changing sequences of protein z-scores can reflect pathophysiological evolutions. Mendelian randomization using blood protein quantitative loci data provided causal evidence for potentially druggable proteins. We identified 48 AD-related proteins, with CEND1, GFAP, NEFL, and SYT1 being top hits in both near-term (HR:1.15–1.77; <i>P</i>:9.11 × 10<sup>−65</sup>–2.78 × 10<sup>−6</sup>) and long-term AD risk (HR:1.20-1.54; <i>P</i>:2.43 × 10<sup>−21</sup>–3.95 × 10<sup>−6</sup>). These four proteins increased 15 years before AD diagnosis and progressively escalated, indicating early and sustained dysfunction in synapse and neurons. Proteins related to extracellular matrix organization, apoptosis, innate immunity, coagulation, and lipid homeostasis showed early disturbances, followed by malfunctions in metabolism, adaptive immunity, and final synaptic and neuronal loss. Combining CEND1, GFAP, NEFL, and SYT1 with demographics generated desirable predictions for 10-year (AUC = 0.901) and over-10-year AD (AUC = 0.864), comparable to full model. Mendelian randomization supports potential genetic link between CEND1, SYT1, and AD as outcome. Our findings highlight the importance of exploring the pathophysiological evolutions in early stages of AD, which is essential for the development of early biomarkers and precision therapeutics.</p>\",\"PeriodicalId\":19008,\"journal\":{\"name\":\"Molecular Psychiatry\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":9.6000,\"publicationDate\":\"2024-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41380-024-02840-x\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41380-024-02840-x","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
人们对早期阿尔茨海默病(AD)的病理生理学演变还不甚了解。我们使用了来自 51296 名非痴呆中年人的 2923 个 Olink 血浆蛋白数据。在长达 15 年的随访期间,共发现了 689 例 AD 病例。我们采用 Cox 比例危险模型来确定不同时间间隔内与老年痴呆症相关的蛋白质。通过与蛋白质类别的联系,蛋白质z-分数的变化序列可以反映病理生理学的演变。利用血液蛋白质定量基因位点数据进行孟德尔随机化,为潜在的可药用蛋白质提供了因果证据。我们发现了48种与AD相关的蛋白质,其中CEND1、GFAP、NEFL和SYT1在近期(HR:1.15-1.77;P:9.11×10-65-2.78×10-6)和长期(HR:1.20-1.54;P:2.43×10-21-3.95×10-6)的AD风险中均占首位。这四种蛋白质在AD确诊前15年就开始增加,并逐渐增加,表明突触和神经元的早期和持续功能障碍。与细胞外基质组织、细胞凋亡、先天性免疫、凝血和脂质平衡相关的蛋白质出现早期紊乱,随后新陈代谢、适应性免疫功能失常,最终导致突触和神经元丧失。将CEND1、GFAP、NEFL和SYT1与人口统计学相结合,可预测10年(AUC = 0.901)和10年以上的AD(AUC = 0.864),与完整模型相当。孟德尔随机化支持 CEND1、SYT1 和作为结果的 AD 之间的潜在遗传联系。我们的研究结果突显了探索 AD 早期病理生理演变的重要性,这对于开发早期生物标记物和精准疗法至关重要。
Large-scale proteomic analyses of incident Alzheimer’s disease reveal new pathophysiological insights and potential therapeutic targets
Pathophysiological evolutions in early-stage Alzheimer’s disease (AD) are not well understood. We used data of 2923 Olink plasma proteins from 51,296 non-demented middle-aged adults. During a follow-up of 15 years, 689 incident AD cases occurred. Cox-proportional hazard models were applied to identify AD-associated proteins in different time intervals. Through linking to protein categories, changing sequences of protein z-scores can reflect pathophysiological evolutions. Mendelian randomization using blood protein quantitative loci data provided causal evidence for potentially druggable proteins. We identified 48 AD-related proteins, with CEND1, GFAP, NEFL, and SYT1 being top hits in both near-term (HR:1.15–1.77; P:9.11 × 10−65–2.78 × 10−6) and long-term AD risk (HR:1.20-1.54; P:2.43 × 10−21–3.95 × 10−6). These four proteins increased 15 years before AD diagnosis and progressively escalated, indicating early and sustained dysfunction in synapse and neurons. Proteins related to extracellular matrix organization, apoptosis, innate immunity, coagulation, and lipid homeostasis showed early disturbances, followed by malfunctions in metabolism, adaptive immunity, and final synaptic and neuronal loss. Combining CEND1, GFAP, NEFL, and SYT1 with demographics generated desirable predictions for 10-year (AUC = 0.901) and over-10-year AD (AUC = 0.864), comparable to full model. Mendelian randomization supports potential genetic link between CEND1, SYT1, and AD as outcome. Our findings highlight the importance of exploring the pathophysiological evolutions in early stages of AD, which is essential for the development of early biomarkers and precision therapeutics.
期刊介绍:
Molecular Psychiatry focuses on publishing research that aims to uncover the biological mechanisms behind psychiatric disorders and their treatment. The journal emphasizes studies that bridge pre-clinical and clinical research, covering cellular, molecular, integrative, clinical, imaging, and psychopharmacology levels.