Department of Epidemiology, Columbia University Mailman School of Public Health, New York, 10032, USA.
Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, 21224, USA.
Clin Nutr. 2020 Oct;39(10):3066-3071. doi: 10.1016/j.clnu.2020.01.011. Epub 2020 Jan 29.
BACKGROUND & AIMS: Women with bacterial vaginosis (BV) have increased risk of sexually transmitted infections and other adverse health outcomes. Based on the composition of their vaginal microbiota, women can broadly be classified into low-Lactobacillus (termed molecular-BV) and Lactobacillus-dominated profiles. Our objective was to determine the association between dietary macronutrient intake and molecular-BV.
In a cross-sectional study of 104 reproductive-age women, dietary intake data were obtained using the Block Brief 2000 food frequency questionnaire. Vaginal microbiota composition was characterized by sequencing amplicons of the 16S rRNA gene V3-V4 regions and clustering into community state types (CST). Logistic regression was used to determine the association of macronutrient intake with molecular-BV (low-Lactobacillus vs. Lactobacillus-dominated CSTs combined).
Participants had a median age of 25.9 (interquartile range: 21.9-29.6), 58% were white (30% black), 51% overweight/obese and 52% on hormonal contraception. In multivariable models, diets richer in fiber were inversely associated with molecular-BV (adjusted odds ratio: 0.49 per standard deviation increase in energy-adjusted fiber intake, 95% confidence interval: 0.24-0.99; p = 0.049).
Our results indicate that diets richer in fiber were associated with lower odds of molecular-BV. Further studies are needed to confirm these findings and to test whether increasing fiber intake can modulate the microbiota towards a more optimal Lactobacillus-dominant profile.
细菌性阴道病(BV)女性罹患性传播感染和其他不良健康结局的风险增加。基于其阴道微生物群的组成,女性可广泛分为低乳杆菌(称为分子 BV)和乳杆菌主导型谱。我们的目的是确定饮食宏量营养素摄入与分子 BV 之间的关联。
在一项对 104 名育龄妇女的横断面研究中,使用布洛克 2000 简短食物频率问卷获得饮食摄入数据。通过对 16S rRNA 基因 V3-V4 区域的扩增子进行测序和聚类为社区状态类型(CST)来描述阴道微生物群组成。使用逻辑回归确定宏量营养素摄入与分子 BV(低乳杆菌与乳杆菌主导的 CST 相结合)之间的关联。
参与者的中位年龄为 25.9(四分位距:21.9-29.6),58%为白人(30%为黑人),51%超重/肥胖,52%正在服用激素避孕药。在多变量模型中,富含纤维的饮食与分子 BV 呈负相关(调整后的优势比:每增加能量调整后的纤维摄入量一个标准差,95%置信区间:0.24-0.99;p=0.049)。
我们的结果表明,富含纤维的饮食与较低的分子 BV 几率相关。需要进一步研究来证实这些发现,并测试增加纤维摄入是否可以使微生物群向更理想的乳杆菌主导型谱转变。