Human Disease Blood Atlas: A Pan-Disease Blood Proteome Resource

This dataset and metadata record describes the plasma proteome profiles used to create a detailed map of protein levels in human blood across major diseases. The open-access version of this dataset, protein levels per disease, is available on the Human Protein Atlas (www.proteinatlas.org). This dataset includes plasma profiles of disease-specific groups and longitudinal analyses of healthy individuals. All plasma samples are EDTA plasma, collected following the ethical principles of the Declaration of Helsinki with informed consent.Comprehensive blood protein profiling across diseases and healthy individuals was conducted using the Proximity Extension Assay. The Olink Explore 1.5 and Olink Explore HT platforms were utilized for this analysis.<b>The study includes four distinct datasets:</b>Pan-Disease: Plasma samples from 6,121 individuals across 59 diseases. (Olink Explore 1536)Wellness: 100 individuals followed longitudinally over two years. (Olink HT)BAMSE: 100 individuals followed from childhood to early adulthood. (Olink HT)UCAN: Approximately 2,000 plasma samples from breast, ovarian, prostate, colorectal, and lung cancer patients. (Olink HT)<b>Pan-Disease Cohorts:</b>Plasma samples from 6,121 individuals across 59 diseases, classified into cardiovascular, metabolic, cancer, psychiatric, autoimmune, infectious, and pediatric diseases.Plasma samples from approximately 2,000 patients diagnosed with breast, ovarian, prostate, colorectal, and lung cancer patients from the U-CAN biobank (Uppsala and Umeå Universities, Uppsala Biobank, Biobanken Norr).<b>Longitudinal Cohorts of Healthy Individuals:</b>100 individuals (aged 50-65) followed at six visits over two years (Swedish SciLifeLab SCAPIS Wellness Profiling - S3WP program, recruited from SCAPIS).100 individuals followed at four-time points from childhood to early adulthood (Swedish population-based birth cohort BAMSE).<b>Access and Data Availability (Important information)</b>This entry is a <b>metadata-only record</b> describing the Human Disease Blood Atlas plasma proteomics datasets (Olink Explore 1.5 / Olink Explore HT, Proximity Extension Assay). Individual-level raw NPX values and individual-level clinical metadata cannot be shared<b> </b>due to ethical, consent, and governance constraints across the contributing cohorts.The <b>o</b>pen-access version of the resource is available via the Human Protein Atlas and provides group-level/aggregated protein abundance summaries with limited clinical metadata to prevent identification of individuals.<b>What is available publicly</b>Aggregated / group-level protein abundance per disease (and other pre-defined groupings) through the Human Protein Atlas.<b>What is not available</b>Individual-level raw NPX (or any row-level per-sample matrix)Individual-level clinical metadata, coded IDs, or linkable subject-level information<b>Requests for access</b><br>Requests for individual-level NPX data <b>cannot be granted</b> through this record. Researchers are instead encouraged to:Use the publicly available aggregated resource for hypothesis generation; and/orPursue a collaboration with the relevant cohort custodian for a clearly defined analysis where outputs can be shared only at an aggregated level, in line with cohort governance and participant consent. Such requests must be directed to the appropriate cohort owner (listed as a co-author on the associated Science publication, https://www.science.org/doi/10.1126/science.adx2678).<br>

本数据集及元数据记录描述了用于绘制跨重大疾病人类血液蛋白质水平详细图谱的血浆蛋白质组学特征。该数据集的开放获取版本（按疾病分类的蛋白质水平数据）可在人类蛋白质图谱（Human Protein Atlas, www.proteinatlas.org）获取。本数据集包含疾病特异性队列的血浆特征及健康个体的纵向分析。所有血浆样本均为乙二胺四乙酸（EDTA）抗凝血浆，采集过程遵循《赫尔辛基宣言》的伦理原则并获得知情同意。

本研究采用邻近延伸分析法（Proximity Extension Assay）对跨疾病及健康个体开展全面血液蛋白质谱分析，所用平台为Olink Explore 1.5与Olink Explore HT。

**本研究包含四个独立数据集：**
1. 泛疾病队列（Pan-Disease）：涵盖59种疾病的6121名个体的血浆样本（采用Olink Explore 1536平台）
2. 健康随访队列（Wellness）：对100名个体进行为期两年的纵向随访（采用Olink HT平台）
3. BAMSE队列：对100名个体从儿童期至成年早期进行随访（采用Olink HT平台）
4. UCAN队列：来自乳腺癌、卵巢癌、前列腺癌、结直肠癌及肺癌患者的约2000份血浆样本（采用Olink HT平台）

**泛疾病亚队列：**
- 涵盖59种疾病的6121名个体的血浆样本，分类为心血管疾病、代谢性疾病、癌症、精神疾病、自身免疫性疾病、感染性疾病及儿科疾病。
- 来自U-CAN生物样本库（乌普萨拉大学与于默奥大学、乌普萨拉生物样本库、Norr生物样本库）的约2000名确诊乳腺癌、卵巢癌、前列腺癌、结直肠癌及肺癌患者的血浆样本。

**健康个体纵向随访队列：**
- 100名年龄介于50-65岁的个体，在两年内接受6次随访（瑞典SciLifeLab SCAPIS健康特征分析项目S3WP，从SCAPIS中招募）。
- 100名个体从儿童期至成年早期共4个时间点的随访样本（瑞典基于人群的出生队列BAMSE）。

**访问与数据可用性（重要提示）**
本条目为仅元数据记录，描述人类疾病血液图谱血浆蛋白质组学数据集（采用Olink Explore 1.5 / Olink Explore HT平台、邻近延伸分析法）。由于各贡献队列的伦理、知情同意及管理限制，无法共享个体水平的原始NPX值及个体水平临床元数据。
本资源的开放获取版本可通过人类蛋白质图谱获取，该版本提供组水平/汇总的蛋白质丰度摘要及有限的临床元数据，以防止个体被识别。

**公开可获取内容**
通过人类蛋白质图谱获取的按疾病（及其他预定义分组）分类的汇总/组水平蛋白质丰度数据。

**不可获取内容**
个体水平的原始NPX值（或任何行级逐样本矩阵）；个体水平临床元数据、编码标识符或可关联的受试者水平信息。

**访问申请**
无法通过本条目申请获取个体水平的NPX数据。研究人员可采取以下方式：
1. 使用公开可用的汇总资源进行假说生成；或
2. 与相关队列的管理者开展合作，进行明确界定的分析，且仅能以汇总水平共享结果，且需符合队列管理规范及受试者知情同意要求。此类申请需提交至对应的队列负责人（相关《科学》期刊论文的共同作者，https://www.science.org/doi/10.1126/science.adx2678）。

搜集汇总

背景与挑战

背景概述

该数据集是一个全面的血浆蛋白质组资源，旨在绘制人类血液中蛋白质水平在多种疾病和健康个体中的详细图谱。它包含来自6,121名个体的59种疾病样本、健康人群的纵向队列以及约2,000名癌症患者的数据，使用Olink平台通过邻近延伸测定法进行分析。公开版本通过Human Protein Atlas提供聚合的疾病组蛋白质丰度数据，但个体级别的原始数据和临床元数据因伦理和治理限制无法公开访问。