Novel high-resolution targeted sequencing of the cervicovaginal microbiome.

BACKGROUND: The cervicovaginal microbiome (CVM) plays a significant role in women's cervical health and disease. Microbial alterations at the species level and characteristic community state types (CST) have been associated with acquisition and persistence of high-risk human papillomavirus (hrHPV) infections that may result in progression of cervical lesions to malignancy. Current sequencing methods, especially most commonly used multiplex 16S rRNA gene sequencing, struggle to fully clarify these changes because they generally fail to provide sufficient taxonomic resolution to adequately perform species-level associative studies. To improve CVM species designation, we designed a novel sequencing tool targeting microbes at the species taxonomic rank and examined its potential for profiling the CVM. RESULTS: We introduce an accessible and practical circular probe-based RNA sequencing (CiRNAseq) technology with the potential to profile and quantify the CVM. In vitro and in silico validations demonstrate that CiRNAseq can distinctively detect species in a mock mixed microbial environment, with the output data reflecting its ability to estimate microbes' abundance. Moreover, compared to 16S rRNA gene sequencing, CiRNAseq provides equivalent results but with improved sequencing sensitivity. Analyses of a cohort of cervical smears from hrHPV-negative women versus hrHPV-positive women with high-grade cervical intraepithelial neoplasia confirmed known differences in CST occurring in the CVM of women with hrHPV-induced lesions. The technique also revealed variations in microbial diversity and abundance in the CVM of hrHPV-positive women when compared to hrHPV-negative women. CONCLUSIONS: CiRNAseq is a promising tool for studying the interplay between the CVM and hrHPV in cervical carcinogenesis. This technology could provide a better understanding of cervicovaginal CST and microbial species during health and disease, prompting the discovery of biomarkers, additional to hrHPV, that can help detect high-grade cervical lesions.

Targeting the Cutaneous Microbiota in Atopic Dermatitis by Coal Tar via AHR-Dependent Induction of Antimicrobial Peptides.

Skin colonization by Staphylococcus aureus and its relative abundance is associated with atopic dermatitis (AD) disease severity and treatment response. Low levels of antimicrobial peptides in AD skin may be related to the microbial dysbiosis. Therapeutic targeting of the skin microbiome and antimicrobial peptide expression can, therefore, restore skin homeostasis and combat AD. In this study, we analyzed the cutaneous microbiome composition in 7 patients with AD and 10 healthy volunteers upon topical coal tar or vehicle treatment. We implemented and validated a Staphylococcus-specific single-locus sequence typing approach combined with classic 16S ribosomal RNA marker gene sequencing to study the bacterial composition. During coal tar treatment, Staphylococcus abundance decreased, and Propionibacterium abundance increased, suggesting a shift of the microbiota composition toward that of healthy controls. We, furthermore, identified a hitherto unknown therapeutic mode of action of coal tar, namely the induction of keratinocyte-derived antimicrobial peptides via activation of the aryl hydrocarbon receptor. Restoring antimicrobial peptide levels in AD skin via aryl hydrocarbon receptor-dependent transcription regulation can be beneficial by creating a (anti)microbial milieu that is less prone to infection and inflammation. This underscores the importance of coal tar in the therapeutic aryl hydrocarbon receptor armamentarium and highlights the aryl hydrocarbon receptor as a target for drug development.