慢性阻塞性肺疾病近期潜在生物标志物的系统综述

数据集获取（Figshare）

• 源站标题：Systematic review on recent potential biomarkers of chronic obstructive pulmonary disease
• DOI：10.6084/m9.figshare.7478324.v2
• 发布日期：2022-10-13
• 文件数：1 个
• 文件总体积：28.30 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Systematic_review_on_recent_potential_biomarkers_of_chronic_obstructive_pulmonary_disease/7478324

命令行下载

curl -L -o "iero_a_1559054_sm1428.xlsx" "https://ndownloader.figshare.com/files/13852580"

文件清单

• iero_a_1559054_sm1428.xlsx（28.30 KB）

文件总体积 28.30 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: Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death worldwide and associated with decreased lung function and inflammation. The heterogeneity of COPD and its molecular and clinical features hinder efficient patient stratification and introduction of personalized therapeutic approaches. The available clinical tools do not efficiently predict the progression and exacerbations of the disease.
Areas covered: An overview of the most recent studies on putative COPD protein biomarkers and the challenges for implementing their use in the clinical setting is presented.
Expert commentary: Proteomics biomarker discovery in COPD has mostly focused on approaches evaluating specific proteins on a limited number of samples. The most promising protein candidates can be classified into five main biological categories: extracellular matrix (ECM) remodeling, inflammation/immune response, oxidative stress response, vascular tone regulation, and lipid metabolism. To efficiently stratify COPD patients and predict exacerbations, it will be necessary to implement biomarker panels to better represent the complex pathophysiology of this disease. The application of unbiased proteomics and bioinformatics followed by appropriate clinical validation studies will contribute to the achievement of this aim while increasing the number of validated biomarkers that can enter the qualification processes by the regulatory entities.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7478324.v2（source: https://tandf.figshare.com/articles/dataset/Systematic_review_on_recent_potential_biomarkers_of_chronic_obstructive_pulmonary_disease/7478324）。