Scholarlink

<p>We aimed to develop and validate a urinary miRNA aging clock, positioning urine as a scalable, non-invasive aging-biomarker source. Using machine learning on 6331 adults, our clock achieved MAE ≈ 4.4 years (R² ≈ 0.79) in independent validation. The clock’s key biomarkers included well-established geromiRs miR-34a-5p, miR-31-5p, miR-146a-5p, and miR-155-5p. While slightly less accurate than DNA-methylation clocks, our model outperformed blood-based miRNA and mRNA clocks, underscoring urinary miRNAs as promising, truly non-invasive biomarkers of biological age and disease risk.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A urinary microRNA aging clock accurately predicts biological age

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月15日

查看全文
  • Milos Havelka,
  • Atsushi Satomura,
  • Hiroki Yamaguchi,
  • Akira Cortal,
  • Yoriko Ando,
  • Motoki Mikami,
  • Mika Mizunuma,
  • Yuki Ichikawa

摘要

We aimed to develop and validate a urinary miRNA aging clock, positioning urine as a scalable, non-invasive aging-biomarker source. Using machine learning on 6331 adults, our clock achieved MAE ≈ 4.4 years (R² ≈ 0.79) in independent validation. The clock’s key biomarkers included well-established geromiRs miR-34a-5p, miR-31-5p, miR-146a-5p, and miR-155-5p. While slightly less accurate than DNA-methylation clocks, our model outperformed blood-based miRNA and mRNA clocks, underscoring urinary miRNAs as promising, truly non-invasive biomarkers of biological age and disease risk.