类风湿关节炎B细胞因子及其诱饵受体特征分析

类风湿关节炎患者B细胞因子及其诱饵受体的血清、基因和膜表达数据,用于关联临床特征与治疗结局。

NIAID Data Ecosystem
浏览 27
表格BLySAPRILB-cell factorsarthritispersonalized medicine
Table_1_Profiling_of_B-Cell_Factors_and_Their_Decoy_Receptors_in_Rheumatoid_Arthritis_Association_With_Clinical_Features_and_Treatment_Outcomes.docx

基本信息

模态
表格
大小
0.000014959 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

类风湿关节炎B细胞因子及其诱饵受体特征分析

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 14.96 KB,主题涵盖 BLyS、APRIL、B-cell factors、arthritis、personalized medicine,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Table_1_Profiling of B-Cell Factors and Their Decoy Receptors in Rheumatoid Arthritis: Association With Clinical Features and Treatment Outcomes.docx》。配套论文《B cells in rheumatoid arthritis》发表于 Autoimmunity Reviews(2007),DOI:10.1016/j.autrev.2007.02.017。源站首次发布:2018-10-11。

【数据内容】

源站原始描述:Introduction: B-cell activation is pivotal in rheumatoid arthritis (RA) pathogenesis and represents a relevant therapeutic target. The main aim of this study was to characterize the profiles of B-cell factors and their decoy receptors in RA and evaluate their clinical relevance. Methods: sBLyS, sAPRIL, sBCMA, sTACI, sBLyS-R, and several cytokines'' serum levels were measured by immunoassays in 104 RA patients and 33 healthy controls (HC). An additional group of 42 systemic lupus erythematosus (SL…

【数据结构与技术规格】

文件数 1 个,合计 14.96 KB。Table_1_Profiling of B-Cell Factors and Their Decoy Receptors in Rheumatoid Arthritis: Association With Clinical Features and Treatment Outcomes.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,14.96 KB。数据集 DOI:10.3389/fimmu.2018.02351.s002。

【主题与分类】

源站学科分类:Transplantation Immunology、Tumour Immunology、Immunology not elsewhere classified、Immunology、Veterinary Immunology、Animal Immunology。主题标签:BLyS、APRIL、B-cell factors、arthritis、personalized medicine。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_Profiling_of_B-Cell_Factors_and_Their_Decoy_Receptors_in_Rheumatoid_Arthritis_Association_With_Clinical_Features_and_Treatment_Outcomes_docx/7194509

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Rodríguez-Carrio, Javier; Alperi-López, Mercedes; López, Patricia; Ballina-García, Francisco J.; Suárez, Ana (2018). Table_1_Profiling of B-Cell Factors and Their Decoy Receptors in Rheumatoid Arthritis: Association With Clinical Features and Treatment Outcomes.docx. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table_1_Profiling of B-Cell Factors and Their Decoy Receptors in Rheumatoid Arthritis: Association With Clinical Features and Treatment Outcomes.docx" "https://ndownloader.figshare.com/files/13245533"

文件清单

  • Table_1_Profiling of B-Cell Factors and Their Decoy Receptors in Rheumatoid Arthritis: Association With Clinical Features and Treatment Outcomes.docx(14.96 KB)

文件总体积 14.96 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Introduction: B-cell activation is pivotal in rheumatoid arthritis (RA) pathogenesis and represents a relevant therapeutic target. The main aim of this study was to characterize the profiles of B-cell factors and their decoy receptors in RA and evaluate their clinical relevance.
Methods: sBLyS, sAPRIL, sBCMA, sTACI, sBLyS-R, and several cytokines’’ serum levels were measured by immunoassays in 104 RA patients and 33 healthy controls (HC). An additional group of 42 systemic lupus erythematosus (SLE) patients were enrolled as disease controls. Whole blood IFI44, IFI44L, IFI6, and MX1 gene expression was measured and averaged into an IFN-score. BLyS membrane expression (mBLyS) was assessed on blood cell subsets by flow cytometry.
Results: increased sAPRIL and sBCMA levels were found in RA, whereas BLyS was elevated in very early RA (VERA). No differences were observed for sTACI and sBLyS-R. An increased sBLyS/sBLyS-R ratio was associated with poor clinical outcome at 6 and 12 months in VERA, whereas a positive association with disease activity was observed in established disease. Increased mBLyS expression was found on monocytes, mDCs, neutrophils and B-cells in RA, to a similar extent that in SLE patients. Cluster analysis identified a specific B-cell factors profile overrepresented in RA and associated with autoantibodies, elevated proinflammatory cytokines (IFNα, MIP1α, TNFα, IL-37, and GM-CSF) and increased type-I IFN signature. Increasing sBCMA and sBLyS serum levels upon treatment and mBLyS expression at baseline on monocytes and mDCs, but not B-cells, were associated with poor clinical outcome upon TNFα-blockade.
Conclusions: profound and complex alterations of soluble and membrane-bound B-cell factors are observed in RA associated with clinical outcomes, thus supporting its applicability to guide patient stratification along disease course.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2018.02351.s002(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Profiling_of_B-Cell_Factors_and_Their_Decoy_Receptors_in_Rheumatoid_Arthritis_Association_With_Clinical_Features_and_Treatment_Outcomes_docx/7194509)。

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依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

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