PDF(Pubmed)
Abstract：
Non-coding RNAs (ncRNAs) are a class of RNA molecules that do not have the potential to encode proteins. Meanwhile, they can occupy a significant portion of the human genome and participate in gene expression regulation through various mechanisms. Gestational diabetes mellitus (GDM) is a pathologic condition of carbohydrate intolerance that begins or is first detected during pregnancy, making it one of the most common pregnancy complications. Although the exact pathogenesis of GDM remains unclear, several recent studies have shown that ncRNAs play a crucial regulatory role in GDM. Herein, we present a comprehensive review on the multiple mechanisms of ncRNAs in GDM along with their potential role as biomarkers. In addition, we investigate the contribution of deep learning-based models in discovering disease-specific ncRNA biomarkers and elucidate the underlying mechanisms of ncRNA. This might assist community-wide efforts to obtain insights into the regulatory mechanisms of ncRNAs in disease and guide a novel approach for early diagnosis and treatment of disease.
摘要：
非编码RNA(ncRNA)是一类不具有编码蛋白质潜力的RNA分子。同时,它们可以占据人类基因组的很大一部分，并通过各种机制参与基因表达调控。妊娠期糖尿病（GDM）是在怀孕期间开始或首次检测到的碳水化合物不耐受的病理状况，使其成为最常见的妊娠并发症之一。虽然GDM的确切发病机制尚不清楚,最近的一些研究表明，ncRNAs在GDM中起着至关重要的调节作用。在这里，我们对ncRNAs在GDM中的多种机制及其作为生物标志物的潜在作用进行了全面综述。此外,我们研究了基于深度学习的模型在发现疾病特异性ncRNA生物标志物和阐明ncRNA的潜在机制方面的贡献。这可能有助于社区范围的努力，以深入了解ncRNAs在疾病中的调控机制，并指导疾病的早期诊断和治疗的新方法。
