Alpha-Fetoprotein (AFP) biosensors

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Nava Moghadasian Niaki , Faezeh Hatefnia , Mohammad Mahdi Heidari , Mahsa Tabean , Ahmad Mobed
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Abstract

Alpha-fetoprotein (AFP) is a glycoprotein mainly produced during fetal development, and elevated levels in adults are frequently associated with liver diseases, especially hepatocellular carcinoma (HCC), as well as certain germ cell tumors. Measuring AFP in biological samples is crucial for early diagnosis, monitoring disease progression, and evaluating treatment efficacy. While traditional detection methods like enzyme-linked immunosorbent assay (ELISA) and radioimmunoassay are dependable, they often face limitations such as lengthy processes, complexity, and the need for specialized equipment. In recent years, biosensing technologies have emerged as promising alternatives for detecting AFP, offering advantages like increased sensitivity, real-time monitoring, and ease of use. Various biosensing platforms, including electrochemical, optical, and piezoelectric sensors, have been developed to enable quick and specific detection of AFP. These sensors employ molecular recognition elements, such as antibodies, aptamers, or nanoparticles, to selectively bind AFP, producing a measurable signal. This article explores the structure and mechanisms of action of AFP, the diseases linked to it, and describes several biosensing technologies. It also reviews recent advancements in AFP biosensing, discussing their principles, performance, and potential applications in clinical settings. Furthermore, the article highlights the challenges and future prospects for developing cost-effective, portable, and multiplexed AFP biosensors, underscoring their potential to revolutionize early disease detection and personalized healthcare.

Abstract Image

甲胎蛋白(AFP)生物传感器
甲胎蛋白(AFP)是一种主要在胎儿发育过程中产生的糖蛋白,成人甲胎蛋白水平升高常与肝脏疾病有关,尤其是肝细胞癌(HCC)和某些生殖细胞肿瘤。测定生物样品中的AFP对于早期诊断、监测疾病进展和评估治疗效果至关重要。虽然酶联免疫吸附测定(ELISA)和放射免疫测定等传统检测方法是可靠的,但它们往往面临过程漫长、复杂和需要专用设备等限制。近年来,生物传感技术已成为检测AFP的有希望的替代方案,具有提高灵敏度,实时监测和易于使用等优点。各种生物传感平台,包括电化学,光学和压电传感器,已经开发出能够快速和特异性检测AFP。这些传感器采用分子识别元件,如抗体、适体或纳米颗粒,选择性地结合AFP,产生可测量的信号。本文探讨了AFP的结构和作用机制,以及与之相关的疾病,并介绍了几种生物传感技术。它还回顾了AFP生物传感的最新进展,讨论了它们的原理、性能和在临床环境中的潜在应用。此外,文章强调了开发成本效益高、便携和多路AFP生物传感器的挑战和未来前景,强调了它们在早期疾病检测和个性化医疗方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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