生物传感器
信号(编程语言)
人类白细胞抗原
计算生物学
航程(航空)
基因
生物
遗传学
纳米技术
计算机科学
材料科学
抗原
复合材料
程序设计语言
作者
Li Ma,Liqin Qi,Sujie Ke,Fanming Zeng,Deying Liu,Xiaoying Liu,Lijing Wang,Li‐Bin Liu
出处
期刊:PubMed
日期:2025-09-02
摘要
Hyperthyroidism, a multifaceted endocrine disorder, is strongly associated with specific human leukocyte antigen (HLA) alleles, which also play a critical role in drug-induced complications such as agranulocytosis. Conventional HLA genotyping methods often face limitations in simultaneously achieving high accuracy, rapidity, and operational simplicity. To address these challenges, we developed a multimodal biosensing platform for the highly sensitive detection of alleles. This platform synergistically integrates three modalities. After molecular recognition, Electrochemiluminescence resonance energy transfer (ECL-RET) was employed using nanomaterials to generate ECL signals, Hybridization chain reaction (HCR) was incorporated to produce fluorescence signals, while nanozyme-mediated colorimetric reactions were coupled to generate visual signals. The combination of these strategies ensures exceptional sensitivity, specificity, and assay stability. Furthermore, spatial separation of the recognition and signal generation domains was implemented to minimize matrix interference from complex biological samples, significantly enhancing clinical applicability. This innovative approach establishes a novel paradigm for the precise analysis of HLA alleles, offering transformative potential for clinical diagnostics and advancing the frontiers of biosensing technologies.
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