肌酸激酶在前列腺癌:一个生物传感器驱动的诊断范例

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Surya Nath Pandey , Ehssan Moglad , Gaurav Gupta , H. Malathi , Laxmidhar Maharana , Sami I. Alzarea , Imran Kazmi , Abida Khan
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引用次数: 0

摘要

背景:前列腺癌(PC)仍然是世界范围内男性癌症相关疾病的主要原因。新出现的证据表明脑型肌酸激酶同工酶(CK-BB)在PC组织中过度表达,并与肿瘤进展相关。然而,传统的CK-BB检测方法缺乏常规临床使用所需的敏感性和快速周转。方法/技术我们回顾了三种平台类别中针对ck - bb的生物传感器的最新进展。首先,用石墨烯和金纳米粒子等纳米材料增强的电化学传感器可以产生放大的电流或阻抗信号,用于超灵敏的CK-BB检测。其次,光学传感器,包括荧光和表面等离子体共振系统,结合量子点和等离子体纳米粒子,提供无标签的实时监控。第三,从纸质试纸条到可穿戴设备和微流控芯片实验室检测等新兴形式,都保证了医疗点的适用性。人工智能(AI)与微流体的集成也被用于自动化、实时的CK-BB分析。纳米材料修饰电极对CK-BB的检测限在低皮克/毫升范围内,在分析速度(分钟与小时)和分析灵敏度方面都优于标准免疫测定法。在小型患者队列中,恶性和良性前列腺疾病的临床鉴别准确率超过85%,证明了CK-BB生物传感的潜在诊断价值。然而,设备的可重复性和基质干扰仍然是重大挑战,只有少数平台已经从概念验证发展到更大规模的临床验证。机器学习算法在传感器输出中的初步应用有望减少误报和自动解释。结论以ck - bb为靶点的生物传感器能够更快、更灵敏地检测前列腺癌相关的代谢变化,有望作为前列腺特异性抗原检测的辅助手段。为了促进转化为常规临床实践,未来的努力必须集中在标准化校准方案,验证不同患者群体的性能,以及解决生产和监管障碍。此外,将CK-BB检测与多路生物标志物面板和人工智能驱动的分析相结合,可以进一步提高诊断精度,支持真正的前列腺癌个性化管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creatine kinase in prostate cancer: A biosensor-driven diagnostic paradigm

Background

Prostate cancer (PC) remains a leading cause of cancer-related morbidity in men worldwide. Emerging evidence suggests that the brain-type creatine kinase isoenzyme (CK-BB) is overexpressed in PC tissue and correlates with tumor progression. However, conventional assays for CK-BB lack the sensitivity and rapid turnaround required for routine clinical use.

Methods/Technology

We reviewed recent advances in CK-BB-targeted biosensors across three platform categories. First, electrochemical sensors enhanced with nanomaterials such as graphene and gold nanoparticles have produced amplified current or impedance signals for ultra-sensitive CK-BB detection. Second, optical sensors, including fluorescence and surface plasmon resonance systems that incorporate quantum dots and plasmonic nanoparticles, offer label-free real-time monitoring. Third, emerging formats, from paper-based strips to wearable devices and microfluidic lab-on-a-chip assays, promise point-of-care applicability. Integration of artificial intelligence (AI) with microfluidics was also evaluated for automated, real-time CK-BB profiling.
Key findings
Nanomaterial-modified electrodes achieved detection limits for CK-BB in the low picogram-per-milliliter range, outperforming standard immunoassays in both assay speed (minutes versus hours) and analytical sensitivity. Clinical discrimination between malignant and benign prostatic conditions exceeded 85 percent accuracy in small patient cohorts, demonstrating the potential diagnostic value of CK-BB biosensing. Nevertheless, device reproducibility and matrix interference remain significant challenges, and only a few platforms have progressed beyond proof-of-concept to larger-scale clinical validation. Preliminary applications of machine-learning algorithms to sensor output show promise in reducing false positives and automating interpretation.

Conclusion

CK-BB-targeted biosensors hold considerable promise as an adjunct to prostate-specific antigen testing by enabling faster, more sensitive detection of metabolic changes associated with prostate cancer. To facilitate translation into routine clinical practice, future efforts must focus on standardizing calibration protocols, validating performance in diverse patient populations, and addressing manufacturing and regulatory hurdles. Moreover, coupling CK-BB detection with multiplexed biomarker panels and AI-driven analysis may further enhance diagnostic precision and support truly personalized management of prostate cancer.
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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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