D 2 O‐Labeled Single‐Cell Raman Spectroscopy Reveals the Evolutionary Trajectory of Helicobacter pylori During the Phenotypic Silent Window

ABSTRACT Helicobacter pylori is a carcinogenic pathogen with a high gastric cancer risk. The rapid emergence of antibiotic resistance severely compromises treatment efficacy. However current conventional approaches fail to capture early molecular events preceding detectable resistance. Here, we used a gradient intermittent antibiotic exposure model to simulate stepwise resistance evolution and longitudinally acquired single‐cell Raman spectra across adaptive cycles. By integrating two‐dimensional correlation Raman spectroscopy (2D‐COS), we resolved the temporal sequence of molecular alterations during the phenotypic silent window. The earliest responses involved adjustments of pre‐existing biomass structures. Specifically, symmetric CH 2 and CH 3 vibrations changed first, reflecting membrane lipid and protein conformational shifts, followed by carbohydrate backbone and alkyl vibrations indicating initial metabolic adjustments. During a structural reorganization phase, amide III shifted earlier than amide I, suggesting protein conformational adjustment precedes content increase, while lipid chain vibration emerged concurrently. Subsequently, nucleic acid base and pyrimidine ring vibrations increased, culminating in the C‐D band representing newly synthesized biomass accumulation. This sequential cascade reveals that structural adaptation occurs prior to metabolic activation. Our work provides a detailed molecular basis for resistance evolution within the silent window and highlights single‐cell Raman‐based metabolic profiling for early detection.

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Publication Details

Journal
Small Methods
Published
2026-09-17
DOI
https://doi.org/10.1002/smtd.71050
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

D 2 O‐Labeled Single‐Cell Raman Spectroscopy Reveals the Evolutionary Trajectory of Helicobacter pylori During the Phenotypic Silent Window

Sheng Pan, Long Chen, Zhuo Chen, Ye Qiu et al.
Small Methods
Spectroscopy Techniques in Biomedical and Chemical Research
article

D 2 O‐Labeled Single‐Cell Raman Spectroscopy Reveals the Evolutionary Trajectory of Helicobacter pylori During the Phenotypic Silent Window

Sheng Pan, Long Chen, Zhuo Chen, Ye Qiu, Jiayu Zeng, Qian Dong
article en

Abstract

ABSTRACT Helicobacter pylori is a carcinogenic pathogen with a high gastric cancer risk. The rapid emergence of antibiotic resistance severely compromises treatment efficacy. However current conventional approaches fail to capture early molecular events preceding detectable resistance. Here, we used a gradient intermittent antibiotic exposure model to simulate stepwise resistance evolution and longitudinally acquired single‐cell Raman spectra across adaptive cycles. By integrating two‐dimensional correlation Raman spectroscopy (2D‐COS), we resolved the temporal sequence of molecular alterations during the phenotypic silent window. The earliest responses involved adjustments of pre‐existing biomass structures. Specifically, symmetric CH 2 and CH 3 vibrations changed first, reflecting membrane lipid and protein conformational shifts, followed by carbohydrate backbone and alkyl vibrations indicating initial metabolic adjustments. During a structural reorganization phase, amide III shifted earlier than amide I, suggesting protein conformational adjustment precedes content increase, while lipid chain vibration emerged concurrently. Subsequently, nucleic acid base and pyrimidine ring vibrations increased, culminating in the C‐D band representing newly synthesized biomass accumulation. This sequential cascade reveals that structural adaptation occurs prior to metabolic activation. Our work provides a detailed molecular basis for resistance evolution within the silent window and highlights single‐cell Raman‐based metabolic profiling for early detection.

Small Methods
Hunan University (CN), University of Macau (MO)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, China Postdoctoral Science Foundation, Natural Science Foundation of Hunan Province, Fundo para o Desenvolvimento das Ciências e da Tecnologia
Good health and well-being
Openalex Percentile: Top 12%
Spectroscopy Techniques in Biomedical and Chemical Research
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