泌尿双J导管复杂微生物群落的毒力特征和细菌相互作用数据集

该数据集记录了27个从泌尿双J导管分离的临床细菌株的毒力特征、生物膜形成、耐药性和相互作用,用于研究导管相关尿路感染的复杂性。

NIAID Data Ecosystem
浏览 22
表格uropathogenscathetersbiofilmvirulencebacterial interactionantibiotic resistance
Virulence traits and bacterial interactions within the complex microbial population in urinary double-J catheters

基本信息

模态
表格
大小
0.013050575 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

泌尿双J导管复杂微生物群落的毒力特征和细菌相互作用数据集

【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 13.05 MB,主题涵盖 uropathogens、catheters、biofilm、virulence、bacterial interaction,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《Data Sheet 1_Virulence traits and bacterial interactions within the complex microbial population in urinary double-J catheters.docx》。配套论文《Efficacy of anti-microbial catheters in preventing catheter associated urinary tract infections in hospitalized patients: A review on recent updates》发表于 Journal of Infection and Public Health(2019),DOI:10.1016/j.jiph.2019.09.009。源站首次发布:2025-07-10。

【数据内容】

源站原始描述:Indwelling devices, such as double-J stents, are commonly used in urological surgery and are often associated with a high risk of urinary tract infections (UTIs) due to biofilm-related complications. In this study, we characterized 27 clinical bacterial isolates from double-J catheters, including Staphylococcus spp., Enterococcus faecalis, Klebsiella pneumoniae, Escherichia coli, and Bacillus spp., to investigate their pathogenic potential. Our findings revealed that strong biofilm producers (E.…

【数据结构与技术规格】

文件数 1 个,合计 13.05 MB。数据集 DOI:10.3389/fmicb.2025.1624743.s001。

【主题与分类】

源站学科分类:Microbiology。主题标签:uropathogens、catheters、biofilm、virulence、bacterial interaction、antibiotic resistance。

【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/Data_Sheet_1_Virulence_traits_and_bacterial_interactions_within_the_complex_microbial_population_in_urinary_double-J_catheters_docx/29527829

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

规范引用:Farizano, Juan Vicente; Castagnaro, Emilia; Arroyo-Egea, Julián Thomas; Aparicio, Juan Daniel; Vallejos, Alicia Cecilia; Hebert, Elvira María; et al. (2025). Data Sheet 1_Virulence traits and bacterial interactions within the complex microbial population in urinary double-J catheters.docx. Frontiers…

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。

免登录

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 "Data Sheet 1_Virulence traits and bacterial interactions within the complex microbial population in urinary double-J catheters.docx" "https://ndownloader.figshare.com/files/56125394"

文件清单

  • Data Sheet 1_Virulence traits and bacterial interactions within the complex microbial population in urinary double-J catheters.docx(13.05 MB)

文件总体积 13.05 MB(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

Indwelling devices, such as double-J stents, are commonly used in urological surgery and are often associated with a high risk of urinary tract infections (UTIs) due to biofilm-related complications. In this study, we characterized 27 clinical bacterial isolates from double-J catheters, including Staphylococcus spp., Enterococcus faecalis, Klebsiella pneumoniae, Escherichia coli, and Bacillus spp., to investigate their pathogenic potential. Our findings revealed that strong biofilm producers (E. coli, S. aureus, and B. subtilis) exhibited robust extracellular matrix synthesis. Notably, multidrug resistance was observed in E. coli, K. pneumoniae, and E. faecalis. Mixed-culture experiments demonstrated that Bacillus spp. enhanced the biofilm formation of uropathogens, suggesting a potential impact on clinical outcomes. The characterization of the polymicrobial population colonizing double-J catheters, as conducted in this study, is essential for understanding the complexity and clinical behavior of biofilm-related infections associated with medical devices. Additionally, our results highlight the clinical relevance of underreported genera, such as Bacillus, which are often overlooked in routine clinical diagnostics. Gaining insights into the interaction mechanisms and survival strategies of several bacterial species colonizing double-J catheters may help shift current paradigms in understanding catheter-related infections.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fmicb.2025.1624743.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Virulence_traits_and_bacterial_interactions_within_the_complex_microbial_population_in_urinary_double-J_catheters_docx/29527829)。

数据缺失?

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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