Ashraf Muhammad Usman, Mustaffa Khairul Mohd Fadzli, Hasan Nurul Wahida Mohd, Memon Maaz Anwer, Butt Danial Qasim, Mahmood Rizwan, Shahidan Wan Nazatul Shima
School of Dental Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, 16150, Kota Bharu, Kelantan, Malaysia.
Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Health Campus, Kubang Kerian, 16150, Kota Bharu, Kelantan, Malaysia.
Mol Biol Rep. 2025 Jun 16;52(1):604. doi: 10.1007/s11033-025-10676-z.
Periodontitis is a prevalent, chronic inflammatory disease linked to microbial dysbiosis and host immune response, leading to destruction of the tooth-supporting structures. Traditional diagnostic methods, though widely used, are limited in their ability to detect early-stage disease and monitor real-time progression. Recent research highlights the significance of microRNAs (miRNAs) as non-invasive biomarkers, particularly in saliva and gingival crevicular fluid (GCF), for the early detection of periodontitis. This review explores the emerging role of aptamer-based biosensors in miRNA detection, presenting them as highly specific and stable alternatives to antibodies. Aptamers, single-stranded DNA or RNA oligonucleotides, exhibit high affinity for diverse targets and can be integrated into point-of-care testing (POCT) diagnostic devices. These aptasensors enable rapid, sensitive, and cost-effective detection of miRNAs such as miR-146a and miR-155, which are implicated in inflammatory regulation and disease progression. The review outlines advancements in aptamer synthesis methods, including Systematic evolution of ligands by exponential enrichment (SELEX) and computational approaches, and discusses the potential of aptamer-drug conjugates for therapeutic use. Despite challenges like nuclease degradation and rapid renal clearance, innovations in nanotechnology and AI-driven aptamer design are paving the way for personalized, non-invasive diagnostics in periodontitis. This article advocates for the integration of aptamer-based technologies into clinical practice, with emphasis on early intervention, real-time monitoring, and improved patient outcomes.
牙周炎是一种常见的慢性炎症性疾病,与微生物群落失调和宿主免疫反应有关,会导致牙齿支持结构的破坏。传统的诊断方法虽然广泛使用,但在检测早期疾病和监测实时进展方面能力有限。最近的研究强调了微小RNA(miRNA)作为非侵入性生物标志物的重要性,特别是在唾液和龈沟液(GCF)中,用于牙周炎的早期检测。本综述探讨了基于适配体的生物传感器在miRNA检测中的新兴作用,将其作为抗体的高度特异性和稳定的替代品。适配体是单链DNA或RNA寡核苷酸,对多种靶标具有高亲和力,并且可以集成到即时检测(POCT)诊断设备中。这些适配体传感器能够快速、灵敏且经济高效地检测与炎症调节和疾病进展有关的miRNA,如miR-146a和miR-155。综述概述了适配体合成方法的进展,包括指数富集配体系统进化(SELEX)和计算方法,并讨论了适配体-药物偶联物的治疗应用潜力。尽管存在核酸酶降解和快速肾脏清除等挑战,但纳米技术和人工智能驱动的适配体设计创新正在为牙周炎的个性化、非侵入性诊断铺平道路。本文主张将基于适配体的技术整合到临床实践中,重点是早期干预、实时监测和改善患者预后。