Raman signatures of Cnm-positive Streptococcus mutans: II, screening the virulence of clinical isolates

. Statistically significant series of ten Raman spectra were collected at different locations on each clinical sample, and their averages interpreted as multiomic snapshots of bacterial structure. Building upon the spectroscopic analyses described in the companion paper Part I, Raman characterizations of clinical isolates revealed a significant degree of variability in the bacterial structure, but also suggested clear classification criteria for clinical samples. These spectroscopic criteria reflected specific biochemical circumstances affecting the structure of bacteria in their pathophysiological state. Raman algorithms based on the fractional balance between proteins and peptidoglycans, and the degree of protein structural disorder vs. presence of oxysulfur compounds enabled insightful classifications of bacterial virulence, which matched genomic analyses. These structural characteristics, which allowed distinguishing between Cnm-positive and Cnm-negative bacteria, could provide fast and unbiased diagnostic criteria for risk assessments of endocarditis and hemorrhagic strokes as induced by Cnm-positive bacteria. In summary, the present study proposes a new spectroscopic approach to oral flora-related diagnostics and confirms the potential utility of Raman spectroscopy in chairside analyses of clinical isolates.

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Publication Details

Journal
Frontiers in Microbiology
Published
2026-04-22
DOI
https://doi.org/10.3389/fmicb.2026.1784126
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
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article

Raman signatures of Cnm-positive Streptococcus mutans: II, screening the virulence of clinical isolates

Hayata Imamura, Katsuhiro Takeda, Yoshiki Yasukochi, Hitoshi Komatsuzawa et al.
Frontiers in Microbiology
Spectroscopy Techniques in Biomedical and Chemical Research
article

Raman signatures of Cnm-positive Streptococcus mutans: II, screening the virulence of clinical isolates

Hayata Imamura, Katsuhiro Takeda, Yoshiki Yasukochi, Hitoshi Komatsuzawa, Hideki Shiba, Yoshiyuki Matsuo, Koichiro Higasa, Saki Nishihama, Kazunori Kitagawa, Saki Ikegami, Kazu Okuma, Giuseppe Pezzotti, Tetsuya Adachi, Miki Kawada-Matsuo, Wenliang Zhu, Toshiro Yamamoto
article en

Abstract

. Statistically significant series of ten Raman spectra were collected at different locations on each clinical sample, and their averages interpreted as multiomic snapshots of bacterial structure. Building upon the spectroscopic analyses described in the companion paper Part I, Raman characterizations of clinical isolates revealed a significant degree of variability in the bacterial structure, but also suggested clear classification criteria for clinical samples. These spectroscopic criteria reflected specific biochemical circumstances affecting the structure of bacteria in their pathophysiological state. Raman algorithms based on the fractional balance between proteins and peptidoglycans, and the degree of protein structural disorder vs. presence of oxysulfur compounds enabled insightful classifications of bacterial virulence, which matched genomic analyses. These structural characteristics, which allowed distinguishing between Cnm-positive and Cnm-negative bacteria, could provide fast and unbiased diagnostic criteria for risk assessments of endocarditis and hemorrhagic strokes as induced by Cnm-positive bacteria. In summary, the present study proposes a new spectroscopic approach to oral flora-related diagnostics and confirms the potential utility of Raman spectroscopy in chairside analyses of clinical isolates.

Frontiers in MicrobiologyVol. 17
Hiroshima University (JP), Kansai Medical University (JP), Ca' Foscari University of Venice (IT), Tokyo Medical University (JP), Mie University (JP), Kyoto Institute of Technology (JP), Kyoto Prefectural University of Medicine (JP), IRCCS San Camillo Hospital (IT)
Openalex Percentile: Top 18%
Spectroscopy Techniques in Biomedical and Chemical Research
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