Department of Medical Microbiology and Infectious Disease, University of Manitoba, Winnipeg, MB, Canada.
JC Wilt Infectious Diseases Research Centre, Winnipeg, MB, Canada.
Front Immunol. 2023 Jan 16;13:974195. doi: 10.3389/fimmu.2022.974195. eCollection 2022.
Most cervicovaginal microbiome-immunology studies to date have relied on 16S rDNA microbial profiling which does not resolve the molecular subgroups of , believed to be central to the pathogenesis of bacterial vaginosis (BV) and subsequent risk of HIV acquisition. Here we used the 60 universal target which in addition to other microbial taxa, resolves four subgroups, for cervicovaginal microbial profiling in a longitudinal cohort of Kenyan women to examine associations with cellular and soluble markers of inflammation and HIV susceptibility. Participants (N = 41) were sampled, contributing 362 samples for microbiome analysis. All non- dominant microbial communities were associated with high pro-inflammatory cytokine levels. Divergent associations were observed among different subgroup dominated communities with respect to the chemokine IP-10. Specifically, subgroup A dominant and polymicrobial communities were associated with reduced concentrations of IP-10 in adjusted linear mixed models (p<0.0001), compared to microbial communities dominated by (non-iners) species. However, these associations did not translate to significant differences in the proportion or absolute number of CCR5, HLA-DR and CD38 expressed on cervical CD4 T- cells. These findings suggest that some associations between subgroup dominant microbiomes and mucosal immunity differ and are relevant for the study of BV-pathogenesis and understanding the mechanisms of BV-associated HIV risk.
迄今为止，大多数宫颈阴道微生物组-免疫学研究都依赖于 16S rDNA 微生物谱分析，该方法无法解析 ，被认为是细菌性阴道病 (BV) 发病机制和随后 HIV 感染风险的核心。在这里，我们使用了 60 个通用靶标，除了其他微生物类群外，还可以解析四个 亚群，对肯尼亚女性的纵向队列中的宫颈阴道微生物组进行了分析，以研究其与炎症和 HIV 易感性的细胞和可溶性标志物的关联。参与者（N=41）进行了采样，为微生物组分析提供了 362 个样本。所有非优势微生物群落都与高促炎细胞因子水平有关。不同 亚群优势群落之间存在不同的关联，与趋化因子 IP-10 有关。具体而言，与非- （非典型）物种为主导的微生物群落相比，亚群 A 主导的和多微生物群落与调整后的线性混合模型中 IP-10 浓度降低有关（p<0.0001）。然而，这些关联并没有转化为宫颈 CD4 T 细胞上 CCR5、HLA-DR 和 CD38 表达的比例或绝对数量的显著差异。这些发现表明，一些与 亚群主导的微生物组和黏膜免疫之间的关联不同，对于研究 BV 发病机制和理解 BV 相关 HIV 风险的机制是相关的。
