Integrated DNA and RNA profiling reveals differences between bacterial presence and metabolic activity in carious lesions

DNA and RNA sequencing identified metabolically active bacteria within deep dentin lesions of severe early childhood caries
Severe early childhood caries (S-ECC) affects millions of children worldwide and remains one of the most aggressive forms of tooth decay, arising from a complex interplay of microbial, dietary, and environmental factors. Advanced lesions can rapidly extend into the dentin, where acidic, oxygen-poor conditions foster a diverse microbial ecosystem that erodes the tooth from within. Scientists have long known that bacteria play a central role in this process; however, how the activity of different microbes contributes to this damage within S-ECC lesions remains unclear.
To address this, researchers from the University of Washington investigated the bacterial communities residing deep within carious lesions. Led by Dr. Allison A. Naumann, the team sought to distinguish bacteria that were merely present from those actively contributing to disease progression within deep dentin lesions. The study was made available online in the International Journal of Oral Science on February 24, 2026.
The researchers conducted a cross-sectional study involving 13 children aged 1–5 years diagnosed with S-ECC. Matched samples of supragingival plaque (SP) and deep dentin plaque (DP) were collected from the same teeth, with dentin samples obtained immediately following tooth extraction. To determine both microbial composition and activity, the team employed a dual sequencing approach. DNA-based 16S rRNA gene sequencing was used to identify bacterial species present within the samples, while RNA-based 16S rRNA transcript sequencing was used to identify bacteria that were metabolically active. Sequencing data were analyzed using established bioinformatics pipelines and the expanded Human Oral Microbiome Database, allowing detailed comparisons of bacterial diversity, abundance, and activity between the two plaque types.
The study found that deep DP harbored a distinct microbial community compared with SP, characterized by significantly lower bacterial diversity and enrichment of several caries-associated taxa. Notably, Lactobacillus casei, Oribacterium sp. HMT-078, Atopobium parvulum, and Prevotella denticola were consistently enriched within deep dentin lesions. A notable finding emerged when the researchers examined bacterial activity.
As Dr. Naumann explained, “The analysis of RNA-to-DNA ratios revealed that Lactobacillus species, particularly L. casei, exhibited the highest metabolic activity, suggesting an active role in disease progression.”
In contrast, traditionally recognized cariogenic species such as Streptococcus mutans were abundant but showed comparatively lower metabolic activity. These findings indicate that metabolically active Lactobacillus species may be key contributors to the progression and severity of severe early childhood caries.
The study highlights the importance of distinguishing between microbial presence and activity in oral disease research.
As Dr. Naumann noted, “By incorporating RNA-based analyses alongside conventional DNA sequencing, we were able to identify the microorganisms most likely contributing to ongoing dentin demineralization and tissue destruction.”
This approach offers a more accurate picture of the microbial processes driving severe dental caries and may help researchers better understand how these lesions develop and progress.
The study also carries important clinical and research implications. Current approaches to studying dental caries often focus on identifying which bacteria are present within lesions. However, these findings suggest that understanding microbial activity may be equally important. By pinpointing the organisms that remain metabolically active within deep dentin lesions, researchers may be able to develop more precise diagnostic tools, identify new therapeutic targets, and better predict which lesions are most likely to progress. The approach may also help guide future microbiome studies toward identifying the organisms that actively sustain disease rather than those that simply coexist within it.
In conclusion, this study advances our understanding of the microbial ecology of S-ECC. Rather than being driven by all bacteria present within a lesion, disease progression appears to be associated with a subset of highly active, acid-tolerant species, particularly Lactobacillus casei. These findings provide a stronger foundation for future efforts to understand, prevent, and treat this aggressive form of childhood tooth decay.
Source – Eurekalert
Integrated DNA and RNA profiling reveals differences between bacterial presence and metabolic activity in carious lesions
DNA and RNA sequencing identified metabolically active bacteria within deep dentin lesions of severe early childhood caries
Severe early childhood caries (S-ECC) affects millions of children worldwide and remains one of the most aggressive forms of tooth decay, arising from a complex interplay of microbial, dietary, and environmental factors. Advanced lesions can rapidly extend into the dentin, where acidic, oxygen-poor conditions foster a diverse microbial ecosystem that erodes the tooth from within. Scientists have long known that bacteria play a central role in this process; however, how the activity of different microbes contributes to this damage within S-ECC lesions remains unclear.
To address this, researchers from the University of Washington investigated the bacterial communities residing deep within carious lesions. Led by Dr. Allison A. Naumann, the team sought to distinguish bacteria that were merely present from those actively contributing to disease progression within deep dentin lesions. The study was made available online in the International Journal of Oral Science on February 24, 2026.
The researchers conducted a cross-sectional study involving 13 children aged 1–5 years diagnosed with S-ECC. Matched samples of supragingival plaque (SP) and deep dentin plaque (DP) were collected from the same teeth, with dentin samples obtained immediately following tooth extraction. To determine both microbial composition and activity, the team employed a dual sequencing approach. DNA-based 16S rRNA gene sequencing was used to identify bacterial species present within the samples, while RNA-based 16S rRNA transcript sequencing was used to identify bacteria that were metabolically active. Sequencing data were analyzed using established bioinformatics pipelines and the expanded Human Oral Microbiome Database, allowing detailed comparisons of bacterial diversity, abundance, and activity between the two plaque types.
The study found that deep DP harbored a distinct microbial community compared with SP, characterized by significantly lower bacterial diversity and enrichment of several caries-associated taxa. Notably, Lactobacillus casei, Oribacterium sp. HMT-078, Atopobium parvulum, and Prevotella denticola were consistently enriched within deep dentin lesions. A notable finding emerged when the researchers examined bacterial activity.
In contrast, traditionally recognized cariogenic species such as Streptococcus mutans were abundant but showed comparatively lower metabolic activity. These findings indicate that metabolically active Lactobacillus species may be key contributors to the progression and severity of severe early childhood caries.
The study highlights the importance of distinguishing between microbial presence and activity in oral disease research.
This approach offers a more accurate picture of the microbial processes driving severe dental caries and may help researchers better understand how these lesions develop and progress.
The study also carries important clinical and research implications. Current approaches to studying dental caries often focus on identifying which bacteria are present within lesions. However, these findings suggest that understanding microbial activity may be equally important. By pinpointing the organisms that remain metabolically active within deep dentin lesions, researchers may be able to develop more precise diagnostic tools, identify new therapeutic targets, and better predict which lesions are most likely to progress. The approach may also help guide future microbiome studies toward identifying the organisms that actively sustain disease rather than those that simply coexist within it.
In conclusion, this study advances our understanding of the microbial ecology of S-ECC. Rather than being driven by all bacteria present within a lesion, disease progression appears to be associated with a subset of highly active, acid-tolerant species, particularly Lactobacillus casei. These findings provide a stronger foundation for future efforts to understand, prevent, and treat this aggressive form of childhood tooth decay.
Source – Eurekalert
Naumann AA, Elmorr EM, Lamont EI, Hendrickson EL, Holmes T, Nelson TM, McLean JS, Kerns KA. (2026) DNA and RNA-based amplicon sequencing of paired supragingival and dentin lesion plaque in children with severe early childhood caries. International Journal of Oral Science 18(1):19. [article]
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Integrated DNA and RNA profiling reveals differences between bacterial presence and metabolic activity in carious lesions
DNA and RNA sequencing identified metabolically active bacteria within deep dentin lesions of severe early childhood caries
Severe early childhood caries (S-ECC) affects millions of children worldwide and remains one of the most aggressive forms of tooth decay, arising from a complex interplay of microbial, dietary, and environmental factors. Advanced lesions can rapidly extend into the dentin, where acidic, oxygen-poor conditions foster a diverse microbial ecosystem that erodes the tooth from within. Scientists have long known that bacteria play a central role in this process; however, how the activity of different microbes contributes to this damage within S-ECC lesions remains unclear.
To address this, researchers from the University of Washington investigated the bacterial communities residing deep within carious lesions. Led by Dr. Allison A. Naumann, the team sought to distinguish bacteria that were merely present from those actively contributing to disease progression within deep dentin lesions. The study was made available online in the International Journal of Oral Science on February 24, 2026.
The researchers conducted a cross-sectional study involving 13 children aged 1–5 years diagnosed with S-ECC. Matched samples of supragingival plaque (SP) and deep dentin plaque (DP) were collected from the same teeth, with dentin samples obtained immediately following tooth extraction. To determine both microbial composition and activity, the team employed a dual sequencing approach. DNA-based 16S rRNA gene sequencing was used to identify bacterial species present within the samples, while RNA-based 16S rRNA transcript sequencing was used to identify bacteria that were metabolically active. Sequencing data were analyzed using established bioinformatics pipelines and the expanded Human Oral Microbiome Database, allowing detailed comparisons of bacterial diversity, abundance, and activity between the two plaque types.
The study found that deep DP harbored a distinct microbial community compared with SP, characterized by significantly lower bacterial diversity and enrichment of several caries-associated taxa. Notably, Lactobacillus casei, Oribacterium sp. HMT-078, Atopobium parvulum, and Prevotella denticola were consistently enriched within deep dentin lesions. A notable finding emerged when the researchers examined bacterial activity.
In contrast, traditionally recognized cariogenic species such as Streptococcus mutans were abundant but showed comparatively lower metabolic activity. These findings indicate that metabolically active Lactobacillus species may be key contributors to the progression and severity of severe early childhood caries.
The study highlights the importance of distinguishing between microbial presence and activity in oral disease research.
This approach offers a more accurate picture of the microbial processes driving severe dental caries and may help researchers better understand how these lesions develop and progress.
The study also carries important clinical and research implications. Current approaches to studying dental caries often focus on identifying which bacteria are present within lesions. However, these findings suggest that understanding microbial activity may be equally important. By pinpointing the organisms that remain metabolically active within deep dentin lesions, researchers may be able to develop more precise diagnostic tools, identify new therapeutic targets, and better predict which lesions are most likely to progress. The approach may also help guide future microbiome studies toward identifying the organisms that actively sustain disease rather than those that simply coexist within it.
In conclusion, this study advances our understanding of the microbial ecology of S-ECC. Rather than being driven by all bacteria present within a lesion, disease progression appears to be associated with a subset of highly active, acid-tolerant species, particularly Lactobacillus casei. These findings provide a stronger foundation for future efforts to understand, prevent, and treat this aggressive form of childhood tooth decay.
Source – Eurekalert
Naumann AA, Elmorr EM, Lamont EI, Hendrickson EL, Holmes T, Nelson TM, McLean JS, Kerns KA. (2026) DNA and RNA-based amplicon sequencing of paired supragingival and dentin lesion plaque in children with severe early childhood caries. International Journal of Oral Science 18(1):19. [article]
Related Posts
POND-seq enables non-destructive RNA sequencing in living cells
Worm’s radical transformation shows metamorphosis can change the functions of cells
New method allows scientists to follow gene activity over time in the same cells
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data
MiRQuery – a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data
RNA sequencing resolves cryptic pathogenic variants in mitochondrial disease
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