{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T04:57:46Z","timestamp":1784696266670,"version":"3.55.0"},"reference-count":48,"publisher":"Microbiology Society","issue":"12","license":[{"start":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T00:00:00Z","timestamp":1764892800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Science and Technology Planning Project of Shenzhen Municipality, China","award":["JCYJ20240813114808012"],"award-info":[{"award-number":["JCYJ20240813114808012"]}]},{"name":"the Science and Technology Planning Project of Shenzhen Municipality, China","award":["JCYJ20230807142806014"],"award-info":[{"award-number":["JCYJ20230807142806014"]}]},{"name":"the Shenzhen Key Medical Discipline","award":["No. SZXK054"],"award-info":[{"award-number":["No. SZXK054"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,5]]},"abstract":"<jats:p>\n                    <jats:bold>Introduction.<\/jats:bold>\n                    <jats:italic>Helicobacter pylori<\/jats:italic>\n                    infection is a major global health concern, and its increasing antibiotic resistance poses significant challenges to eradication therapy. Traditional methods for detecting\n                    <jats:italic>H. pylori<\/jats:italic>\n                    resistance are time-consuming and labour-intensive.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Hypothesis\/Gap Statement.<\/jats:bold>\n                    The limitations of traditional methods highlight a critical need for a rapid, accurate and comprehensive approach to detect\n                    <jats:italic>H. pylori<\/jats:italic>\n                    resistance that can inform personalized treatment strategies and improve eradication outcomes.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Aim.<\/jats:bold>\n                    This study aimed to explore the potential of Raman spectroscopy as a rapid and accurate method for detecting\n                    <jats:italic>H. pylori<\/jats:italic>\n                    resistance to clarithromycin and levofloxacin.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Methodology.<\/jats:bold>\n                    We employed Raman spectroscopy to analyse the metabolic fingerprints of\n                    <jats:italic>H. pylori<\/jats:italic>\n                    strains treated with different concentrations of antibiotics. Principal component analysis and deuterium oxide labelling techniques were used to differentiate between resistant and susceptible strains.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Results.<\/jats:bold>\n                    Our results demonstrated that Raman spectroscopy can accurately predict\n                    <jats:italic>H. pylori<\/jats:italic>\n                    antibiotic resistance within 4\u20136\u2009h, significantly reducing detection time compared with traditional methods.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Conclusion.<\/jats:bold>\n                    This study provides a promising approach for rapid and accurate detection of\n                    <jats:italic>H. pylori<\/jats:italic>\n                    antibiotic resistance, enabling personalized treatment strategies and improving eradication outcomes.\n                  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