Nikolaev Viktor V, Lepekhina Tatiana B, Alliluev Alexander S, Bidram Elham, Sokolov Pavel M, Nabiev Igor R, Kistenev Yury V
Laboratory of Laser Molecular Imaging and Machine Learning, National Research Tomsk State University, 634050 Tomsk, Russia.
Tomsk Phthisiopulmonology Medical Center, Rosa Luxemburg St., 634009 Tomsk, Russia.
Nanomaterials (Basel). 2024 Sep 26;14(19):1553. doi: 10.3390/nano14191553.
Despite the existing effective treatment methods, tuberculosis (TB) is the second most deadly infectious disease, its carriers in the latent and active phases accounting for more than 20% of the world population. An effective method for controlling TB and reducing TB mortality is regular population screening aimed at diagnosing the latent form of TB and taking preventive and curative measures. Numerous methods allow diagnosing TB by directly detecting () biomarkers, including DNA, proteins, and specific metabolites or antibodies produced by the host immune system in response to PCR, ELISA, immunofluorescence and immunochemical analyses, flow cytometry, and other methods allow the detection of biomarkers or the host immune response to by recording the optical signal from fluorescent or colorimetric dyes that are components of the diagnostic systems. Current research in biosensors is aimed at increasing the sensitivity of detection, a promising approach being the use of fluorescent quantum dots as brighter and more photostable optical tags. Here, we review current methods for the detection of biomarkers using quantum dot-based nanosensors and summarize data on the biomarkers whose detection can be made considerably more sensitive by using these sensors.
尽管存在现有的有效治疗方法,但结核病仍是第二大致命传染病,其潜伏和活跃期携带者占世界人口的20%以上。控制结核病和降低结核病死亡率的有效方法是定期进行人群筛查,旨在诊断结核病的潜伏形式并采取预防和治疗措施。许多方法可通过直接检测()生物标志物来诊断结核病,包括DNA、蛋白质以及宿主免疫系统针对()产生的特定代谢物或抗体,聚合酶链反应(PCR)、酶联免疫吸附测定(ELISA)、免疫荧光和免疫化学分析、流式细胞术等方法可通过记录来自作为诊断系统组成部分的荧光或比色染料的光信号来检测()生物标志物或宿主对()的免疫反应。目前生物传感器的研究旨在提高检测灵敏度,一种有前景的方法是使用荧光量子点作为更亮且光稳定性更高的光学标签。在此,我们综述了使用基于量子点的纳米传感器检测()生物标志物的当前方法,并总结了关于使用这些传感器可使检测灵敏度显著提高的()生物标志物的数据。