University of Queensland Clinical Research Centre, The University of Queensland, Brisbane, QLD, Australia; Faculty of Pharmacy, Taibah University, Madinah, Saudi Arabia.
Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD, Australia.
J Microbiol Methods. 2022 Oct;201:106576. doi: 10.1016/j.mimet.2022.106576. Epub 2022 Sep 10.
Rapid and cost-effective diagnosis of Neisseria gonorrhoeae (NG) are important measures for the control and management of gonococcal infection. Current diagnostic tools such as nucleic acid amplification tests and bacterial culture are not feasible in many resource-poor settings, and so syndromic patient management is commonplace. Alternative cost-effective diagnostic tools are therefore needed. Here, we sought to explore the utility and feasibility of Near Infrared Spectroscopy (NIRS) to (1) identify and differentiate NG from Neisseria commensals and (2) to differentiate fully susceptible NG from resistant NG. NIRS correctly classified NG from Neisseria commensals (R= 0.89; SECV 0.164) and to a lesser capacity, susceptible NG from resistant (R = 0.60; SECV 0.32). To the best our knowledge, this is the first proof of concept study in the field. Further evaluations are now warranted to enhance capacity and accuracy of this diagnostic approach.
快速且具成本效益的淋病奈瑟菌（NG）诊断是控制和管理淋病感染的重要措施。目前的诊断工具，如核酸扩增试验和细菌培养，在许多资源匮乏的环境中并不可行，因此综合征患者管理是常见的。因此，需要替代的具有成本效益的诊断工具。在这里，我们试图探索近红外光谱（NIRS）在以下两个方面的应用潜力和可行性：（1）识别和区分 NG 与奈瑟氏共生菌，（2）区分完全敏感的 NG 与耐药的 NG。NIRS 能够正确地区分 NG 与奈瑟氏共生菌（R=0.89；SECV 0.164），但区分敏感性 NG 与耐药性 NG 的能力较差（R=0.60；SECV 0.32）。据我们所知，这是该领域的首个概念验证研究。现在需要进一步评估来提高这种诊断方法的能力和准确性。
