Çelik Haluk, Caf Balım Bengisu, Çebi Gizem
Vivosens, Inc., 44 Tehama Street, Suite 409, San Francisco, CA 94105 USA.
Program of Stem Cell and Tissue Engineering, Institute of Graduate Education, Istinye University, 34010 Istanbul, Turkey.
Indian J Microbiol. 2024 Sep;64(3):894-909. doi: 10.1007/s12088-024-01359-7. Epub 2024 Aug 2.
Urinary tract infections (UTIs) are prevalent bacterial infections globally, posing significant challenges due to their frequency, recurrence, and antibiotic resistance. This review delves into the advancements in UTI diagnostics over the past decade, particularly focusing on the development of biosensor technologies. The emergence of biosensors, including microfluidic, optical, electrochemical, immunosensors, and nanotechnology-based sensors, offers enhanced diagnostic accuracy, reduced healthcare costs. Despite these advancements, challenges such as technical limitations, the need for cross-population validation, and economic barriers for widespread implementation persist. The integration of artificial intelligence and smart devices in UTI diagnostics, highlighting the innovative approaches and their implications for patient care. The article envisions a future where multidisciplinary research and innovation overcome current obstacles, fully leveraging the potential of biosensor technologies to transform biosensor-based UTIs diagnosis. The ultimate goal is to achieve rapid, accurate, and non-invasive diagnostics, making healthcare more accessible and effective.
尿路感染(UTIs)是全球普遍存在的细菌感染,因其发生频率、复发率和抗生素耐药性而带来重大挑战。本综述深入探讨了过去十年中UTI诊断的进展,尤其关注生物传感器技术的发展。生物传感器的出现,包括微流控、光学、电化学、免疫传感器和基于纳米技术的传感器,提高了诊断准确性,降低了医疗成本。尽管有这些进展,但技术限制、跨人群验证的必要性以及广泛实施的经济障碍等挑战依然存在。人工智能和智能设备在UTI诊断中的整合,突出了创新方法及其对患者护理的影响。本文设想了一个未来,多学科研究和创新克服当前障碍,充分利用生物传感器技术的潜力来变革基于生物传感器的UTI诊断。最终目标是实现快速、准确和非侵入性诊断,使医疗保健更易获得且更有效。