Fan Jiaying, Zhou Kai, Wang Jin
Department of Endocrinology, Ningbo Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, No. 819, Liyuan North Road, Haishu District, Zhejiang, 315010, Ningbo, China.
Appl Biochem Biotechnol. 2025 Jan;197(1):534-544. doi: 10.1007/s12010-024-05046-7. Epub 2024 Aug 29.
Non-invasive monitoring of glucose levels in tears and saliva is crucial for diagnosing and predicting various illnesses, such as diabetic nephropathy. However, the capability of the current glucose detection methods to identify small amounts of glucose with a high sensitivity remains a significant obstacle. This study proposes a simple, visual technique for sensitively detecting glucose levels from tears and saliva using glucose oxidase (GOx) to catalyze glucose and pistol-like DNAzyme (PLDz) to enhance the signal. In particular, the β-D-glucose present in the samples serves as the initial molecule that GOx identifies and catalyzes to generate gluconic acid and hydrogen peroxide (HO). The HO induces the self-cleavage of PLDz, activating the "part b" sequence. This activation initiates catalytic hairpin assembly (CHA) and releases the DNAzyme section in the H1 probe. The DNAzyme acts as a peroxidase analog, facilitating the catalysis of the 3,3',5,5'-tetramethylbenzidine (TMB)-hydrogen peroxide (HO) system and resulting in color changes. The proposed method exhibits a broad detection range of six orders of magnitude and a low limit of 0.32 μM for glucose detection. Furthermore, the proposed method was highly effective in detecting glucose in saliva and tears, suggesting that it could potentially diagnose hyperglycemia-related disorders in clinical environments.
对眼泪和唾液中的葡萄糖水平进行无创监测对于诊断和预测各种疾病(如糖尿病肾病)至关重要。然而,当前葡萄糖检测方法以高灵敏度识别少量葡萄糖的能力仍然是一个重大障碍。本研究提出了一种简单的视觉技术,使用葡萄糖氧化酶(GOx)催化葡萄糖,并利用手枪状脱氧核酶(PLDz)增强信号,以灵敏地检测眼泪和唾液中的葡萄糖水平。具体而言,样品中存在的β-D-葡萄糖作为初始分子,被GOx识别并催化生成葡萄糖酸和过氧化氢(HO)。HO诱导PLDz的自我切割,激活“b部分”序列。这种激活引发催化发夹组装(CHA),并释放H1探针中的脱氧核酶部分。脱氧核酶作为过氧化物酶类似物,促进3,3',5,5'-四甲基联苯胺(TMB)-过氧化氢(HO)系统的催化作用,导致颜色变化。所提出的方法对葡萄糖检测具有六个数量级的宽检测范围和0.32 μM的低检测限。此外,所提出的方法在检测唾液和眼泪中的葡萄糖方面非常有效,表明它有可能在临床环境中诊断与高血糖相关的疾病。