Whole Genome Deep Sequencing of the Oral Microbiome in Epidermolysis Bullosa

Background/Objectives: Epidermolysis bullosa (EB) is a rare genetic disease often requiring extensive dental interventions. Whole genome sequencing of the oral microbiome may provide essential information on the pathogenic shifts reported in the literature, resulting in significant plaque development. Methods: Three EB patients had a proprietary whole genome sequencing completed. The samples were deidentified and compared to a library of 30,000 bacterial genomes. Results: The oral microbiome of the three individuals was significantly different from normotypical samples. Although a commonality was presented between the three individuals, differences were also noted. Neisseria sicca is present across all samples with relatively high percentiles (>95th percentile in all 3). Streptococcus mitis is also present in all samples, with its percentile and abundance differing significantly. With one sample, BHU, Morococcus cerebrosus was the top species with 19.74% relative abundance (100th percentile), an outlier compared to the other samples, and present in the highest concentration yet noted in the database. All three samples had at least one Actinomyces species in the 70th percentile or greater. Conclusions: Within the limitations of this small sampling, the oral microbiome of patients with Epidermolysis bullosa may be unique and require further investigation with the study of preventatives capable of inhibiting inflammation and overgrowth of pathogens.

Authors

Institutions

Publication Details

Journal
Dermato
Published
2025-09-12
DOI
https://doi.org/10.3390/dermato5030017
Primary Topic
Autoimmune Bullous Skin Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Whole Genome Deep Sequencing of the Oral Microbiome in Epidermolysis Bullosa

Mark Lloyd Cannon, L Guzmán, Ashlee Cosantino, Brian Maurer et al.
Dermato
Autoimmune Bullous Skin Diseases
article

Whole Genome Deep Sequencing of the Oral Microbiome in Epidermolysis Bullosa

Mark Lloyd Cannon, L Guzmán, Ashlee Cosantino, Brian Maurer, Sabrina Baghaie
article en

Abstract

Background/Objectives: Epidermolysis bullosa (EB) is a rare genetic disease often requiring extensive dental interventions. Whole genome sequencing of the oral microbiome may provide essential information on the pathogenic shifts reported in the literature, resulting in significant plaque development. Methods: Three EB patients had a proprietary whole genome sequencing completed. The samples were deidentified and compared to a library of 30,000 bacterial genomes. Results: The oral microbiome of the three individuals was significantly different from normotypical samples. Although a commonality was presented between the three individuals, differences were also noted. Neisseria sicca is present across all samples with relatively high percentiles (>95th percentile in all 3). Streptococcus mitis is also present in all samples, with its percentile and abundance differing significantly. With one sample, BHU, Morococcus cerebrosus was the top species with 19.74% relative abundance (100th percentile), an outlier compared to the other samples, and present in the highest concentration yet noted in the database. All three samples had at least one Actinomyces species in the 70th percentile or greater. Conclusions: Within the limitations of this small sampling, the oral microbiome of patients with Epidermolysis bullosa may be unique and require further investigation with the study of preventatives capable of inhibiting inflammation and overgrowth of pathogens.

DermatoVol. 5(3)
Northwestern University (US), San Francisco Department of Public Health (US), Lurie Children's Hospital (US)
Openalex Percentile: Top 64%
Autoimmune Bullous Skin Diseases
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.