Table14 胎盘microRNA甲基化组特征可能作为产前阿片暴露新生儿阿片戒断综合征的生物标志物和治疗靶点

数据集获取（Figshare）

• 源站标题：Table14_Placental microRNA methylome signatures may serve as biomarkers and therapeutic targets for prenatally opioid-exposed infants with neonatal opioid withdrawal syndrome.XLSX
• DOI：10.3389/fgene.2023.1215472.s006
• 发布日期：2023-06-15
• 文件数：1 个
• 文件总体积：33.73 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table14_Placental_microRNA_methylome_signatures_may_serve_as_biomarkers_and_therapeutic_targets_for_prenatally_opioid-exposed_infants_with_neonatal_opioid_withdrawal_syndrome_XLSX/23521740

命令行下载

curl -L -o "Table14_Placental microRNA methylome signatures may serve as biomarkers and therapeutic targets for prenatally opioid-exposed infants with neonatal op.XLSX" "https://ndownloader.figshare.com/files/41248503"

文件清单

• Table14_Placental microRNA methylome signatures may serve as biomarkers and therapeutic targets for prenatally opioid-exposed infants with neonatal op.XLSX（33.73 KB）

文件总体积 33.73 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: The neonate exposed to opioids in utero faces a constellation of withdrawal symptoms postpartum commonly called neonatal opioid withdrawal syndrome (NOWS). The incidence of NOWS has increased in recent years due to the opioid epidemic. MicroRNAs (miRNAs) are small non-coding RNA molecules that play a crucial role in gene regulation. Epigenetic variations in microRNAs (miRNAs) and their impact on addiction-related processes is a rapidly evolving area of research.
Methods: The Illumina Infinium Methylation EPIC BeadChip was used to analyze DNA methylation levels of miRNA-encoding genes in 96 human placental tissues to identify miRNA gene methylation profiles as-sociated with NOWS: 32 from mothers whose prenatally opioid-exposed infants required pharmacologic management for NOWS, 32 from mothers whose prenatally opioid-exposed infants did not require treat-ment for NOWS, and 32 unexposed controls.
Results: The study identified 46 significantly differentially methylated (FDR p-value ≤ 0.05) CpGs associated with 47 unique miRNAs, with a receiver operating characteristic (ROC) area under the curve (AUC) ≥0.75 including 28 hypomethylated and 18 hypermethylated CpGs as potentially associated with NOWS. These dysregulated microRNA methylation patterns may be a contributing factor to NOWS pathogenesis.
Conclusion: This is the first study to analyze miRNA methylation profiles in NOWS infants and illustrates the unique role miRNAs might have in diagnosing and treating the disease. Furthermore, these data may provide a step toward feasible precision medicine for NOWS babies as well.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fgene.2023.1215472.s006（source: https://frontiersin.figshare.com/articles/dataset/Table14_Placental_microRNA_methylome_signatures_may_serve_as_biomarkers_and_therapeutic_targets_for_prenatally_opioid-exposed_infants_with_neonatal_opioid_withdrawal_syndrome_XLSX/23521740）。