Udayakumar Saranya, Girigoswami Agnishwar, Girigoswami Koyeli
Medical Bionanotechnology, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam TN 603103, India.
Medical Bionanotechnology, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam TN 603103, India.
Clin Chim Acta. 2026 Jan 1;578:120517. doi: 10.1016/j.cca.2025.120517. Epub 2025 Jul 27.
Neurodegenerative diseases are difficult to diagnose due to their insidious nature and a lack of accurate early detection methods. Using biofluids such as saliva, blood, urine, tears, and cerebrospinal fluids, liquid biopsy has become a potential less invasive method for disease diagnosis. The clinical significance of liquid biopsy is studied in this review, which also highlights the important biomarkers, less invasive sample types, and multi-omic approaches such as proteomics, genomics, metabolomics, and transcriptomics. Furthermore, new developments that are being explored for their potential to improve disease monitoring and diagnostic advances include spectroscopic techniques, nanobiosensors, molecular biology-based tools, imaging techniques, and AI. Although biomarkers have a potential source, they face significant challenges such as specificity, standardization, and clinical validation. Future advancements in AI and multi-omics approaches may enhance the use of liquid biopsy. Early detection and personalized therapies are possible with this technology, which would ultimately improve patient outcomes in disease management.
神经退行性疾病因其隐匿性和缺乏准确的早期检测方法而难以诊断。利用唾液、血液、尿液、眼泪和脑脊液等生物流体,液体活检已成为一种潜在的侵入性较小的疾病诊断方法。本综述研究了液体活检的临床意义,还强调了重要的生物标志物、侵入性较小的样本类型以及蛋白质组学、基因组学、代谢组学和转录组学等多组学方法。此外,正在探索的有望改善疾病监测和诊断进展的新进展包括光谱技术、纳米生物传感器、基于分子生物学的工具、成像技术和人工智能。尽管生物标志物有潜在来源,但它们面临着特异性、标准化和临床验证等重大挑战。人工智能和多组学方法的未来进展可能会增加液体活检的应用。这项技术可以实现早期检测和个性化治疗,最终改善疾病管理中的患者预后。