Nature Communications (Jan 2022)
molBV reveals immune landscape of bacterial vaginosis and predicts human papillomavirus infection natural history
- Mykhaylo Usyk,
- Nicolas F. Schlecht,
- Sarah Pickering,
- LaShanda Williams,
- Christopher C. Sollecito,
- Ana Gradissimo,
- Carolina Porras,
- Mahboobeh Safaeian,
- Ligia Pinto,
- Rolando Herrero,
- Howard D. Strickler,
- Shankar Viswanathan,
- Anne Nucci-Sack,
- Angela Diaz,
- Costa Rica HPV Vaccine Trial (CVT) Group,
- Robert D. Burk
Affiliations
- Mykhaylo Usyk
- Department of Pediatrics (Genetic Medicine), Albert Einstein College of Medicine
- Nicolas F. Schlecht
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine
- Sarah Pickering
- Department of Pediatrics, Mount Sinai Adolescent Health Center, Icahn School of Medicine at Mount Sinai
- LaShanda Williams
- Department of Pediatrics (Genetic Medicine), Albert Einstein College of Medicine
- Christopher C. Sollecito
- Department of Pediatrics (Genetic Medicine), Albert Einstein College of Medicine
- Ana Gradissimo
- Department of Pediatrics (Genetic Medicine), Albert Einstein College of Medicine
- Carolina Porras
- Agencia Costarricense de Investigaciones Biomédicas, Fundación INCIENSA
- Mahboobeh Safaeian
- Roche Molecular Diagnostics
- Ligia Pinto
- HPV Serology Laboratory, Frederick National Laboratory for Cancer Research
- Rolando Herrero
- Agencia Costarricense de Investigaciones Biomédicas, Fundación INCIENSA
- Howard D. Strickler
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine
- Shankar Viswanathan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine
- Anne Nucci-Sack
- Department of Pediatrics, Mount Sinai Adolescent Health Center, Icahn School of Medicine at Mount Sinai
- Angela Diaz
- Department of Pediatrics, Mount Sinai Adolescent Health Center, Icahn School of Medicine at Mount Sinai
- Costa Rica HPV Vaccine Trial (CVT) Group
- Robert D. Burk
- Department of Pediatrics (Genetic Medicine), Albert Einstein College of Medicine
- DOI
- https://doi.org/10.1038/s41467-021-27628-3
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 12
Abstract
Here, Burk et al. develop an algorithm to diagnose bacterial vaginosis (BV) using the 16S rRNA gene, called molBV, which they use to profile the inflammatory landscape of BV and predict progression of human papillomavirus infection to cervical pre-cancer.
