Pandey Surya Nath, Moglad Ehssan, Gupta Gaurav, Malathi H, Maharana Laxmidhar, Alzarea Sami I, Kazmi Imran, Khan Abida
Department of Pharmacology, Teerthanker Mahaveer College of Pharmacy, Teerthanker Mahaveer University, Moradabad 244001 Uttar Pradesh, India.
Department of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al Kharj 11942, Saudi Arabia.
Clin Chim Acta. 2025 Aug 15;576:120402. doi: 10.1016/j.cca.2025.120402. Epub 2025 May 28.
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.
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.
前列腺癌(PC)仍是全球男性癌症相关发病的主要原因。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应用所需的灵敏度和快速周转时间。
方法/技术:我们回顾了针对CK-BB的生物传感器在三个平台类别上的最新进展。首先,用石墨烯和金纳米颗粒等纳米材料增强的电化学传感器产生了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,包括结合量子点和等离子体纳米颗粒的荧光和表面等离子体共振系统,提供无标记的实时监测。第三,新兴形式,从纸质条带到可穿戴设备和微流控芯片实验室检测,有望实现即时护理应用。还评估了人工智能(AI)与微流控技术的整合,用于自动化、实时的CK-BB分析。主要发现:纳米材料修饰的电极实现了低至皮克每毫升范围内的CK-BB检测限,在检测速度(几分钟对几小时)和分析灵敏度方面均优于标准免疫测定。在小患者队列中,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,设备的重现性和基质干扰仍然是重大挑战,只有少数平台已从概念验证阶段发展到更大规模的临床验证。机器学习算法对传感器输出的初步应用显示,在减少假阳性和自动化解释方面具有前景。
靶向CK-BB的生物传感器作为前列腺特异性抗原检测的辅助手段,通过能够更快、更灵敏地检测与前列腺癌相关的代谢变化,具有相当大的前景。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、在不同患者群体中验证性能以及解决制造和监管障碍上。此外,将CK-BB检测与多重生物标志物面板和人工智能驱动的分析相结合,可能会进一步提高诊断精度,并支持真正的前列腺癌个性化管理。