用于慢性肾脏疾病检测的MicroRNA生物传感器。

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2025-02-01 Epub Date: 2024-12-07 DOI:10.1016/j.cca.2024.120081
Mohammad Reza Balali, Mohammad Taghizadeh, Mehdi Alizadeh, Yousof Karami, Farzaneh Karimi, Seyyed Hossein Khatami, Mortaza Taheri-Anganeh, Sajad Ehtiati, Ahmad Movahedpour, Reza Mahmoudi, Hassan Ghasemi
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引用次数: 0

摘要

慢性肾脏疾病(CKD)是一种以肾功能逐渐丧失为特征的普遍健康状况。早期发现对于CKD的有效管理和治疗至关重要。microRNAs (miRNAs)是包括慢性肾脏疾病在内的各种疾病的一个有前景的生物标志物,由于其在各种疾病相关状态(包括CKD)中的稳定性和差异表达,其变得越来越重要。microRNA生物传感器的最新发展使得以敏感和特异性的方式检测与CKD相关的mirna成为可能。这篇综述文章讨论了用于检测CKD的microRNA生物传感器的现状,并强调了它们在临床环境中的潜在应用。各种各样的microRNA生物传感器,包括电化学、光学和纳米材料传感器,都在探索它们检测与CKD进展相关的特定mirna的能力。评估了这些生物传感器的优点和局限性,重点是灵敏度、特异性和易用性等因素。总的来说,microRNA生物传感器是早期检测CKD的有希望的诊断工具。然而,诸如标准化协议、大规模队列验证以及转化为临床实践等挑战仍有待解决。未来的研究应致力于克服这些限制,以充分发挥microRNA生物传感器在改善CKD诊断和管理方面的潜力。
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MicroRNA biosensors for detection of chronic kidney disease.

Chronic kidney disease (CKD) is a prevalent health condition characterized by gradual kidney function loss. Early detection is crucial for the effective management and treatment of CKD. A promising biomarker for various diseases, including chronic kidney disease, is microRNAs (miRNAs), which are becoming increasingly important due to their stability and differential expression in various disease-related states, including CKD. Recent developments in microRNA biosensors have made it possible to detect miRNAs associated with CKD in a sensitive and specific manner. This review article discusses the current state of microRNA biosensors for detecting CKD and highlights their potential applications in clinical settings. Various microRNA biosensors, including electrochemical, optical, and nanomaterial-based sensors, are explored for their ability to detect specific miRNAs linked to CKD progression. The advantages and limitations of these biosensors are evaluated, focusing on factors such as sensitivity, specificity, and ease of use. Overall, microRNA biosensors are promising diagnostic tools for early detection of CKD. However, challenges such as standardizing protocols, validating in large cohorts, and translating to clinical practice remain to be addressed. Future research efforts should aim to overcome these limitations to fully realize the potential of microRNA biosensors in improving the diagnosis and management of CKD.

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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.
期刊最新文献
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