Objectives The vaginal microbiota help protect the female genital tract from disease. We sought to describe the composition of the vaginal microbiota between pre-, peri- and postmenopausal women and to explore the association between the microbiota and vulvovaginal atrophy (VVA). Methods 87 women (age 35–60) were classified as premenopausal (n=30), perimenopausal (n=29) or postmenopausal (n=28) according to STRAW guidelines. Mid-vagina bacterial community composition was characterized by 16S rRNA gene analysis. Results Bacterial communities clustered into six community state types (CSTs), of which four were dominated by Lactobacillus crispatus, L. gasseri, L. iners, or L. jensenii; and two (CST-IV-A and IV-B) had low relative abundance of Lactobacillus. CST IV-A was characterized by Streptococcus and Prevotella, whereas CST IV-B by Atopobium. There was a significant association between menopause stage and CST (p-value=0.004) and VVA and CST (p-value=0.002). Perimenopausal women were more likely to be classified as CST IV-A or the L. gasseri CST, whereas postmenopausal women were mostly CST IV-A. CSTs dominated by L. crispatus and L. iners were more prevalent in premenopausal women. Nineteen participants had signs of mild or moderate VVA. Compared to women with no VVA, the vaginal microbiota of women with mild or moderate atrophy had 25-fold greater odds of being classified as CST IV-A vs. L. crispatus CST (aOR: 25.89, 95% Credible Interval:2.98-406.79). Conclusions A distinct bacterial community state (CST IV-A) with low relative abundance of Lactobacillus was associated with VVA. Future studies recruiting a larger number of women are needed to replicate the findings. This study provides an impetus for future longitudinal studies designed to manage, modulate and restore vaginal microbiota homeostasis which would provide stronger evidence for a causal relationship with VVA and ultimately improve treatment and prevention of atrophic vaginitis in menopause.
Objectives-The vaginal microbiota help protect the female genital tract from disease. We sought to describe the composition of the vaginal microbiota between pre-, peri-and postmenopausal women and to explore the association between the microbiota and vulvovaginal atrophy (VVA). Methods-87 women (age 35-60) were classified as premenopausal (n=30), perimenopausal (n=29) or postmenopausal (n=28) according to STRAW guidelines. Mid-vagina bacterial community composition was characterized by 16S rRNA gene analysis. Results-Bacterial communities clustered into six community state types (CSTs), of which four were dominated by Lactobacillus crispatus, L. gasseri, L. iners, or L. jensenii; and two (CST-IV-A and IV-B) had low relative abundance of Lactobacillus. CST IV-A was characterized by Streptococcus and Prevotella, whereas CST IV-B by Atopobium. There was a significant association between menopause stage and CST (p-value=0.004) and VVA and CST (p-value=0.002). Perimenopausal women were more likely to be classified as CST IV-A or the L. gasseri CST, whereas postmenopausal women were mostly CST IV-A. CSTs dominated by L. crispatus and L. iners were more prevalent in premenopausal women. Nineteen participants had
Understanding the fraction of newly detected human papillomavirus (HPV) infections due to acquisition and reactivation has important implications on screening strategies and prevention of HPV-associated neoplasia. Information on sexual activity and cervical samples for HPV DNA detection using Roche Linear Array were collected semi-annually for two years from 700 women age 35–60 years. Incidence and potential fraction of HPV infections associated with new and lifetime sexual partnerships were estimated using Poisson models. Cox frailty models were used to estimate hazard ratios (HR) for potential risk factors of incident HPV detection. Recent and lifetime numbers of sexual partners were both strongly associated with incident HPV detection. However, only 13% of incident detections were attributed to new sexual partners whereas 72% were attributed to ≥5 lifetime sexual partners. Furthermore, 155 out of 183 (85%) incident HPV detections occurred during periods of sexual abstinence or monogamy, and were strongly associated with cumulative lifetime sexual exposure (HR: 4.1, 95% CI: 2.0, 8.4). This association increased with increasing age. These data challenge the 20 paradigm that incident HPV detection is driven by current sexual behavior and new viral acquisition in older women. Our observation that most incident HPV infection was attributable to past, not current, sexual behavior at older ages supports a natural history model of viral latency and reactivation. As the highly exposed baby-boomer generation of women with sexual debut after the sexual revolution transition to menopause, the implications of HPV reactivation at older ages on cervical cancer risk and screening recommendations should be carefully evaluated.
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