Microbiome profile of the amniotic fluid as a predictive biomarker of perinatal outcome.
Microbiome profile of the amniotic fluid as a predictive biomarker of perinatal outcome.
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DOI：
10.1038/s41598-017-11699-8
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发表时间：
2017-09-22
影响因子：
4.6
通讯作者：
Hata K
中科院分区：
文献类型：
--
作者：
Urushiyama D;Suda W;Ohnishi E;Araki R;Kiyoshima C;Kurakazu M;Sanui A;Yotsumoto F;Murata M;Nabeshima K;Yasunaga S;Saito S;Nomiyama M;Hattori M;Miyamoto S;Hata K
绒毛膜炎（CAM）是一种由于感染引起的胎膜炎症，与早产和围产期预后不良有关。本研究的目的是确定是否CAM可以诊断前交付的基础上的细菌组成的羊水（AF）。根据胎盘炎症对79例患者的AF样本进行分类：III期（n = 32），CAM; II期（n = 27），绒毛膜炎; 0-I期（n = 20），绒毛膜下炎或无中性粒细胞浸润;以及妊娠早期正常AF（n = 18）。16 SrDNA绝对定量和测序结果表明，在第三阶段，16 SrDNA拷贝数显著高于其他组，α多样性指数显著低于其他组。在主坐标分析中，III期与0-I期、正常AF和空白形成单独的聚类。40个样本被归类为微生物组学CAM（miCAM）阳性，其定义为存在11种细菌，发现这些细菌与CAM和围产期预后的一些参数显著相关。根据miCAM，CAM的诊断准确性为：灵敏度约94%，特异性79- 87%。我们的研究结果表明，基于AF微生物组特征在分娩前预测CAM的可能性。
Chorioamnionitis (CAM), an inflammation of the foetal membranes due to infection, is associated with preterm birth and poor perinatal prognosis. The present study aimed to determine whether CAM can be diagnosed prior to delivery based on the bacterial composition of the amniotic fluid (AF). AF samples from 79 patients were classified according to placental inflammation: Stage III (n = 32), CAM; Stage II (n = 27), chorionitis; Stage 0-I (n = 20), sub-chorionitis or no neutrophil infiltration; and normal AF in early pregnancy (n = 18). Absolute quantification and sequencing of 16S rDNA showed that in Stage III, the 16S rDNA copy number was significantly higher and the α-diversity index lower than those in the other groups. In principal coordinate analysis, Stage III formed a separate cluster from Stage 0-I, normal AF, and blank. Forty samples were classified as positive for microbiomic CAM (miCAM) defined by the presence of 11 bacterial species that were found to be significantly associated with CAM and some parameters of perinatal prognosis. The diagnostic accuracy for CAM according to miCAM was: sensitivity, approximately 94%, and specificity, 79–87%. Our findings indicate the possibility of predicting CAM prior to delivery based on the AF microbiome profile.
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影响因子：
3.7
作者：
Aagaard K;Riehle K;Ma J;Segata N;Mistretta TA;Coarfa C;Raza S;Rosenbaum S;Van den Veyver I;Milosavljevic A;Gevers D;Huttenhower C;Petrosino J;Versalovic J
通讯作者：
Versalovic J
DOI：
10.1136/fn.72.1.f43
发表时间：
1995-01-01
影响因子：
4.4
作者：
CARROLL, SG;VILLE, Y;NICOLAIDES, KH
通讯作者：
NICOLAIDES, KH
影响因子：
48
作者：
Hindson, Christopher M.;Chevillet, John R.;Briggs, Hilary A.;Gallichotte, Emily N.;Ruf, Ingrid K.;Hindson, Benjamin J.;Vessella, Robert L.;Tewari, Muneesh
通讯作者：
Tewari, Muneesh
影响因子：
17.1
作者：
Aagaard K;Ma J;Antony KM;Ganu R;Petrosino J;Versalovic J
通讯作者：
Versalovic J
影响因子：
7.2
作者：
Alexander, JM;Gilstrap, LC;Leveno, KJ
通讯作者：
Leveno, KJ