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

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

Authors

Institutions

Publication Details

Journal
Journal of Medical Microbiology
Published
2025-12-05
DOI
https://doi.org/10.1099/jmm.0.002094
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Dan Xiong, Haiyan Yang, Ziman Wu, Xiuming Zhang et al.
Journal of Medical Microbiology
Spectroscopy Techniques in Biomedical and Chemical Research
article

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

Dan Xiong, Haiyan Yang, Ziman Wu, Xiuming Zhang, Xiaojuan Gao, Xiaowen Dou
article en

Abstract

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

Journal of Medical MicrobiologyVol. 74(12)
Anhui University of Science and Technology (CN), Shantou University (CN), Shantou University Medical College (CN), Shenzhen Third People’s Hospital (CN), Henan Medical University (CN)
Openalex Percentile: Top 73%
Spectroscopy Techniques in Biomedical and Chemical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.