MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1099/jmm.0.002094

Медицинская библиотека · Journal of medical microbiology · 2025

Targeted detection of Helicobacter pylori resistance to clarithromycin and levofloxacin using single-cell Raman spectroscopy.

Wu Ziman, Li Xinying, Dou Xiaowen, Yang Haiyan, Zhang Xiuming, Xiong Dan, Gao Xiaojuan

СтатьяПеревод пока не подготовлен

Аннотация

Introduction. Helicobacter pylori infection is a major global health concern, and its increasing antibiotic resistance poses significant challenges to eradication therapy. Traditional methods for detecting H. pylori resistance are time-consuming and labour-intensive.Hypothesis/Gap Statement. The limitations of traditional methods highlight a critical need for a rapid, accurate and comprehensive approach to detect H. pylori resistance that can inform personalized treatment strategies and improve eradication outcomes.Aim. This study aimed to explore the potential of Raman spectroscopy as a rapid and accurate method for detecting H. pylori resistance to clarithromycin and levofloxacin.Methodology. We employed Raman spectroscopy to analyse the metabolic fingerprints of H. pylori strains treated with different concentrations of antibiotics. Principal component analysis and deuterium oxide labelling techniques were used to differentiate between resistant and susceptible strains.Results. Our results demonstrated that Raman spectroscopy can accurately predict H. pylori antibiotic resistance within 4-6 h, significantly reducing detection time compared with traditional methods.Conclusion. This study provides a promising approach for rapid and accurate detection of H. pylori antibiotic resistance, enabling personalized treatment strategies and improving eradication outcomes.

Для цитирования: Wu Ziman, Li Xinying, Dou Xiaowen, Yang Haiyan, Zhang Xiuming, Xiong Dan, Gao Xiaojuan. Targeted detection of Helicobacter pylori resistance to clarithromycin and levofloxacin using single-cell Raman spectroscopy.. Journal of medical microbiology. 2025. DOI: 10.1099/jmm.0.002094.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.