Molecular ecology · 2022
Does exposure to different menstrual products affect the vaginal environment?
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Tessandier Nicolas, Uysal Ilkay Başak, Elie Baptiste, Selinger Christian, Bernat Claire, Boué Vanina, Grasset Sophie, Groc Soraya, Rahmoun Massilva, Reyné Bastien, Bender Noemi, Bonneau Marine, Graf Christelle, Tribout Vincent, Foulongne Vincent, Ravel Jacques, Waterboer Tim, Hirtz Christophe, Bravo Ignacio G, Reynes Jacques, Segondy Michel, Murall Carmen Lia, Boulle Nathalie, Kamiya Tsukushi, Alizon Samuel
Аннотация
The vaginal ecosystem is a key component of women's health. It also represents an ideal system for ecologists to investigate the consequence of perturbations on species diversity and emerging properties between organizational levels. Here, we study how exposure to different types of menstrual products is linked to microbial, immunological, demographic, and behavioural measurements in a cohort of young adult women who reported using more often tampons (n = 107) or menstrual cups (n = 31). We first found that cup users were older and smoked less than tampon users. When analysing health indicators, we detected potential associations between cups use reporting and fungal genital infection. A multivariate analysis confirmed that in our cohort, reporting using cups over tampons was associated with the higher odds ratio to report a fungal genital infection diagnosis by a medical doctor within the last 3 months. We did not detect significant differences between groups in terms of their bacterial vaginal microbiota composition and found marginal differences in the level of expression of 20 cytokines. However, a multivariate analysis of these biological data identified some level of clustering based on the menstrual product type preferred (cups or tampons). These results suggest that exposure to different types of menstrual products could influence menstrual health. Larger studies and studies with a more powered setting are needed to assess the robustness of these associations and identify causal mechanisms.