肠道微生物组对糖尿病肾病的因果效应：基于16S rRNA测序和双向孟德尔随机化

数据集获取（Figshare）

• 源站标题：Causal effects of gut microbiota on diabetic kidney disease: insights from 16S rRNA sequencing and bidirectional Mendelian randomization
• DOI：10.6084/m9.figshare.30370615.v1
• 发布日期：2025-10-16
• 文件数：12 个
• 文件总体积：14.60 MB
• 源站页面：https://tandf.figshare.com/articles/dataset/Causal_effects_of_gut_microbiota_on_diabetic_kidney_disease_insights_from_16S_rRNA_sequencing_and_bidirectional_Mendelian_randomization/30370615

命令行下载

curl -L -o "Supplementary Figure1.jpg" "https://ndownloader.figshare.com/files/58779820"
curl -L -o "Supplementary Figure2.jpg" "https://ndownloader.figshare.com/files/58779823"
curl -L -o "Supplementary Figure3.jpg" "https://ndownloader.figshare.com/files/58779826"
curl -L -o "Supplementary Figure4.jpg" "https://ndownloader.figshare.com/files/58779829"
curl -L -o "Supplementary Figure5.jpg" "https://ndownloader.figshare.com/files/58779832"
curl -L -o "Supplementary Materials_Wang et al.docx" "https://ndownloader.figshare.com/files/58779835"
curl -L -o "irnf_a_2566381_sm4780.jpg" "https://ndownloader.figshare.com/files/58779838"
curl -L -o "irnf_a_2566381_sm4779.jpg" "https://ndownloader.figshare.com/files/58779841"

文件清单

• Supplementary Figure1.jpg（553.90 KB）
• Supplementary Figure2.jpg（2.67 MB）
• Supplementary Figure3.jpg（2.56 MB）
• Supplementary Figure4.jpg（798.86 KB）
• Supplementary Figure5.jpg（700.66 KB）
• Supplementary Materials_Wang et al.docx（22.72 KB）
• irnf_a_2566381_sm4780.jpg（700.66 KB）
• irnf_a_2566381_sm4779.jpg（2.67 MB）
• irnf_a_2566381_sm4778.jpg（2.56 MB）
• irnf_a_2566381_sm4777.jpg（798.86 KB）
• irnf_a_2566381_sm4776.jpg（553.90 KB）
• irnf_a_2566381_sm4775.docx（22.72 KB）

文件总体积 14.60 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

Dysbiosis of the gut microbiome plays a critical role in diabetic kidney disease (DKD) development and progression. We stratified 46 type 2 DKD patients from Ruijin Hospital into early or advanced DKD groups in this cross-sectional study. Fecal samples underwent 16S rRNA sequencing. Statistical analyses (t-tests, Chi-square, GLMs) and MR were performed using SPSS and R. We found that advanced DKD patients exhibited distinct gut microbiota profiles, with LEfSe analysis showing higher Butyricimonas, Fusicatenibacter, and Barnesiella and lower Allisonella compared to early DKD, while DKD-susceptible individuals had elevated Fusobacterium and reduced Allisonella and Eubacterium. GLMs linked Barnesiella, Streptococcus, Fusobacterium to DKD susceptibility (p Slackia and Eubacterium to early/resistant DKD. MR analysis demonstrated causality: Barnesiella (OR: 2.382), Butyricimonas (OR: 1.278), Desulfovibrio (OR: 2.518), and Hemophilus (OR: 1.622) worsened DKD, whereas Slackia and Allisonella protected against eGFR decline (p Ruminococcus2 but suppressed Allisonella and Akkermansia (p Barnesiella, Butyricimonas, Desulfovibrio, Hemophilus, Bacteroides, Streptococcus, Ruminococcus2) and protective taxa (Slackia, Allisonella, Akkermansia). These genera serve as novel biomarkers for early detection and risk stratification, and as potential therapeutic targets for microbiota-modulating interventions to mitigate DKD progression. The bidirectional microbiota-DKD interplay further underscores the promise of targeting gut dysbiosis in DKD precision management.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.30370615.v1（source: https://tandf.figshare.com/articles/dataset/Causal_effects_of_gut_microbiota_on_diabetic_kidney_disease_insights_from_16S_rRNA_sequencing_and_bidirectional_Mendelian_randomization/30370615）。