TY - JOUR
T1 - Novel high-resolution targeted sequencing of the cervicovaginal microbiome
AU - Andralojc, K.M.
AU - Molina, M.A.
AU - Qiu, M.J.
AU - Spruijtenburg, B.
AU - Rasing, M.
AU - Pater, B.
AU - Huynen, M.A.
AU - Dutilh, B.E.
AU - Ederveen, T.H.A.
AU - Elmelik, D.
AU - Siebers, A.G.
AU - Loopik, D.
AU - Bekkers, R.L.M.
AU - Leenders, W.P.J.
AU - Melchers, W.J.G.
N1 - Funding Information:
This work was supported by a research grant obtained from the Ruby and Rose Foundation. MM was further supported by a scholarship from Secretaría Nacional de Ciencia, Tecnología e Innovación de Panamá (SENACYT, #270-2019-136). BED was supported by the European Research Council (ERC) Consolidator grant 865694: DiversiPHI.
Funding Information:
We thank Judith Kuijpers, Danny Quint, Jeanine Boot, and Corina van den Heuvel for their support to this work. We also thank Prof. Janneke van de Wijgert for helping in identifying the list of cervicovaginal species. BioRender.com was used to design figures for the manuscript.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12/16
Y1 - 2021/12/16
N2 - 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.
AB - 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.
KW - 16S
KW - CIN
KW - CST
KW - Cervicovaginal microbiome
KW - CiRNAseq
KW - IDENTIFICATION
KW - INTERPLAY
KW - RIBOSOMAL-RNA
KW - RISK
KW - TOOLS
KW - Targeted sequencing
KW - VAGINAL MICROBIOTA
KW - hrHPV
KW - smMIP
UR - https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254256/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254295/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_7_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254310/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_8_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254313/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_10_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254178/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_13_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254205/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_14_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254214/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_15_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254223/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_17_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254238/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_18_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254241/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_19_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254247/1
UR - https://springernature.figshare.com/articles/dataset/Additional_file_20_of_Novel_high-resolution_targeted_sequencing_of_the_cervicovaginal_microbiome/17254265/1
U2 - 10.1186/s12915-021-01204-z
DO - 10.1186/s12915-021-01204-z
M3 - Article
C2 - 34915863
SN - 1741-7007
VL - 19
JO - Bmc Biology
JF - Bmc Biology
IS - 1
M1 - 267
ER -