Additional file 1 of Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis

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Supplementary Material 1: Supplementary methods. Figure S1: Variation in total bacterial load and vaginal soluble immune factors across CST-IV subgroups. Figure S2: BV-associated bacteria drive the association between total bacterial load and immune factors within CST-III. Figure S3: Genital immune milieu cluster tightly with vaginal microbiota composition. Figure S4: Genital immune milieu is closely tied to vaginal microbiota composition in an independent, Uganda-based confirmatory cohort. Table S1: Association between vaginal CST and sociodemographic variables. Table S2: The absolute abundance of BV-associated bacteria, including G. vaginalis and F. vaginae, but not L. iners, were positively associated with sE-cad and IL-1α. Table S3: Nugent scores of women misclassified by the logistic regression model predicting Nugent BV with bacterial load in the SWOP cohort. Table S4: CST subgroups of women misclassified by the logistic regression model predicting molecular BV with bacterial load in the SWOP cohort. Table S5: Comparison of linear regression models predicting soluble immune factors with different vaginal microbiota characterization metrics. Table S6: Comparison of sociodemographic characteristics based on availability of complete immune data in the SWOP cohort. Table S7: Association between PAM immune cluster and sociodemographic variables. Table S8: Sociodemographic factors for Uganda-based confirmatory cohort. N = 61. Table S9: Nugent scores of women misclassified by the logistic regression model predicting Nugent BV with bacterial load in the Uganda-based confirmatory cohort. Table S10: Comparison of linear regression models predicting soluble immune factors with different vaginal microbiota characterization metrics in the confirmatory Uganda-based confirmatory cohort. Table S11: Primer and probe sequences for qPCR assays quantifying total bacterial load.
Auteur(s) :
Armstrong, Eric

Armstrong, Eric

University of Toronto Toronto General Hospital
, Liu, Rachel

Liu, Rachel

University of Toronto
, Pollock, James

Pollock, James

University of Toronto
, Huibner, Sanja

Huibner, Sanja

University of Toronto
, Udayakumar, Suji

Udayakumar, Suji

University of Toronto
, Irungu, Erastus

Irungu, Erastus

Partners for Health and Development in Africa
, Ngurukiri, Pauline

Ngurukiri, Pauline

Partners for Health and Development in Africa
, Muthoga, Peter

Muthoga, Peter

Partners for Health and Development in Africa
, Adhiambo, Wendy

Adhiambo, Wendy

Partners for Health and Development in Africa
, Yegorov, Sergey

Yegorov, Sergey

McMaster University
, Kimani, Joshua

Kimani, Joshua

Partners for Health and Development in Africa
, Beattie, Tara

Beattie, Tara

London School of Hygiene & Tropical Medicine
, Coburn, Bryan

Coburn, Bryan

University of Toronto Toronto General Hospital
et Kaul, Rupert

Kaul, Rupert

University of Toronto Toronto General Hospital
Dépôt source:
Figshare
Éditeur(s):
figshare
License:
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode
URL:
https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Quantitative_profiling_of_the_vaginal_microbiota_improves_resolution_of_the_microbiota-immune_axis/28348685
Date de publication:
2025
Sujets (en):
FOS: Biological sciences, Microbiology
Identificateur:
https://doi.org/10.6084/m9.figshare.28348685

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Additional file 1 of Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis. (2025). [Data set]. Figshare. https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Quantitative_profiling_of_the_vaginal_microbiota_improves_resolution_of_the_microbiota-immune_axis/28348685
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