Modeling the temporal dynamics of cervicovaginal microbiota identifies targets that may promote reproductive health.
Modeling the temporal dynamics of cervicovaginal microbiota identifies targets that may promote reproductive health.
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DOI：
10.1186/s40168-021-01096-9
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发表时间：
2021-07-26
期刊：
影响因子：
15.5
通讯作者：
Kwon DS
中科院分区：
文献类型：
--
作者：
Munoz A;Hayward MR;Bloom SM;Rocafort M;Ngcapu S;Mafunda NA;Xu J;Xulu N;Dong M;Dong KL;Ismail N;Ndung'u T;Ghebremichael MS;Kwon DS
宫颈阴道细菌群落由各种厌氧菌组成，乳酸杆菌丰度低，与不良的生殖结果有关，如早产，不孕症，宫颈炎和性传播感染（STI）的风险，包括人类免疫缺陷病毒（HIV）。与西方人群相比，撒哈拉以南非洲地区的妇女在这些高风险细菌群落中的患病率更高。然而，在非洲人群中，宫颈阴道社区随着时间的推移在高风险和低风险社区状态之间的转变并没有得到很好的描述。我们分析了316个宫颈阴道拭子的细菌组成，这些拭子以3个月的间隔从88名健康的年轻南非黑人女性中收集，每位参与者的中位随访时间为9个月，并开发了一种基于马尔可夫的过渡动力学模型，该模型准确预测了更广泛的横截面队列中的细菌组成。我们发现，乳酸杆菌占主导地位，但不是乳酸杆菌crispatus占主导地位，社区有很高的概率过渡到高风险状态。通过操纵潜在的转移概率来模拟临床干预，我们的模型预测，通过操纵L. iners和L. crispatus-dominant社区我们提出的马尔可夫模型表明，L。以国际反兴奋剂机构为主的社区很有可能过渡到风险较高的国家。我们还确定了向目标的转变，以增加L的患病率。crispatus-dominant社区这些发现可能有助于指导未来的干预策略，以减少撒哈拉以南非洲妇女与细菌相关的不良生殖结果。视频摘要在线版本包含补充材料，可通过10. 1186/s40168-021-01096-9获取。
Cervicovaginal bacterial communities composed of diverse anaerobes with low Lactobacillus abundance are associated with poor reproductive outcomes such as preterm birth, infertility, cervicitis, and risk of sexually transmitted infections (STIs), including human immunodeficiency virus (HIV). Women in sub-Saharan Africa have a higher prevalence of these high-risk bacterial communities when compared to Western populations. However, the transition of cervicovaginal communities between high- and low-risk community states over time is not well described in African populations. We profiled the bacterial composition of 316 cervicovaginal swabs collected at 3-month intervals from 88 healthy young Black South African women with a median follow-up of 9 months per participant and developed a Markov-based model of transition dynamics that accurately predicted bacterial composition within a broader cross-sectional cohort. We found that Lactobacillus iners-dominant, but not Lactobacillus crispatus-dominant, communities have a high probability of transitioning to high-risk states. Simulating clinical interventions by manipulating the underlying transition probabilities, our model predicts that the population prevalence of low-risk microbial communities could most effectively be increased by manipulating the movement between L. iners- and L. crispatus-dominant communities. The Markov model we present here indicates that L. iners-dominant communities have a high probability of transitioning to higher-risk states. We additionally identify transitions to target to increase the prevalence of L. crispatus-dominant communities. These findings may help guide future intervention strategies targeted at reducing bacteria-associated adverse reproductive outcomes among women living in sub-Saharan Africa. Video Abstract The online version contains supplementary material available at 10.1186/s40168-021-01096-9.
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影响因子：
48
作者：
Callahan BJ;McMurdie PJ;Rosen MJ;Han AW;Johnson AJ;Holmes SP
通讯作者：
Holmes SP
影响因子：
17.1
作者：
Gajer P;Brotman RM;Bai G;Sakamoto J;Schütte UM;Zhong X;Koenig SS;Fu L;Ma ZS;Zhou X;Abdo Z;Forney LJ;Ravel J
通讯作者：
Ravel J
影响因子：
2.8
作者：
Fettweis, Jennifer M.;Brooks, J. Paul;Buck, Gregory A.
通讯作者：
Buck, Gregory A.
影响因子：
11.8
作者：
Joag, Vineet;Obila, Onyango;Kaul, Rupert
通讯作者：
Kaul, Rupert
DOI：
10.1073/pnas.1502875112
发表时间：
2015-09-01
影响因子：
11.1
作者：
DiGiulio, Daniel B.;Callahan, Benjamin J.;Relman, David A.
通讯作者：
Relman, David A.