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用于精准诊断的针状生物传感器:从台式研发到体外和体内应用。

Needle-Shaped Biosensors for Precision Diagnoses: From Benchtop Development to In Vitro and In Vivo Applications.

机构信息

Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW 2052, Australia.

Tyree Foundation Institute of Health Engineering (IHealthE), UNSW Sydney, Sydney, NSW 2052, Australia.

出版信息

Biosensors (Basel). 2024 Aug 13;14(8):391. doi: 10.3390/bios14080391.

Abstract

To achieve the accurate recognition of biomarkers or pathological characteristics within tissues or cells, in situ detection using biosensor technology offers crucial insights into the nature, stage, and progression of diseases, paving the way for enhanced precision in diagnostic approaches and treatment strategies. The implementation of needle-shaped biosensors (N-biosensors) presents a highly promising method for conducting in situ measurements of clinical biomarkers in various organs, such as in the brain or spinal cord. Previous studies have highlighted the excellent performance of different N-biosensor designs in detecting biomarkers from clinical samples in vitro. Recent preclinical in vivo studies have also shown significant progress in the clinical translation of N-biosensor technology for in situ biomarker detection, enabling highly accurate diagnoses for cancer, diabetes, and infectious diseases. This article begins with an overview of current state-of-the-art benchtop N-biosensor designs, discusses their preclinical applications for sensitive diagnoses, and concludes by exploring the challenges and potential avenues for next-generation N-biosensor technology.

摘要

为了实现对组织或细胞内生物标志物或病理特征的准确识别,利用生物传感器技术进行原位检测为了解疾病的性质、阶段和进展提供了关键的见解,为诊断方法和治疗策略的精确性铺平了道路。针状生物传感器(N-生物传感器)的应用为在各种器官(如大脑或脊髓)中对临床生物标志物进行原位测量提供了一种极具前景的方法。先前的研究已经强调了不同 N-生物传感器设计在体外检测临床样本中生物标志物方面的出色性能。最近的临床前体内研究也表明,N-生物传感器技术在原位生物标志物检测方面的临床转化取得了显著进展,能够对癌症、糖尿病和传染病进行高度准确的诊断。本文首先概述了当前最先进的台式 N-生物传感器设计,讨论了它们在敏感诊断方面的临床前应用,并探讨了下一代 N-生物传感器技术面临的挑战和潜在途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ace/11353061/554e54b81bbf/biosensors-14-00391-g001.jpg

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