Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine Imperial College London, London, UK.
National Phenome Centre, Imperial College London, London, UK.
Nat Commun. 2021 Oct 13;12(1):5967. doi: 10.1038/s41467-021-26215-w.
The pregnancy vaginal microbiome contributes to risk of preterm birth, the primary cause of death in children under 5 years of age. Here we describe direct on-swab metabolic profiling by Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) for sample preparation-free characterisation of the cervicovaginal metabolome in two independent pregnancy cohorts (VMET, n = 160; 455 swabs; VMET II, n = 205; 573 swabs). By integrating metataxonomics and immune profiling data from matched samples, we show that specific metabolome signatures can be used to robustly predict simultaneously both the composition of the vaginal microbiome and host inflammatory status. In these patients, vaginal microbiota instability and innate immune activation, as predicted using DESI-MS, associated with preterm birth, including in women receiving cervical cerclage for preterm birth prevention. These findings highlight direct on-swab metabolic profiling by DESI-MS as an innovative approach for preterm birth risk stratification through rapid assessment of vaginal microbiota-host dynamics.
妊娠阴道微生物组与早产风险相关,早产是 5 岁以下儿童死亡的主要原因。在此,我们通过解吸电喷雾电离质谱法(DESI-MS)直接对拭子进行代谢组学分析,在两个独立的妊娠队列(VMET,n=160;455 个拭子;VMET II,n=205;573 个拭子)中对宫颈阴道微生物组进行了无样品制备的特征描述。通过整合来自匹配样本的宏基因组学和免疫分析数据,我们表明,特定的代谢组学特征可用于稳健地同时预测阴道微生物组的组成和宿主炎症状态。在这些患者中,使用 DESI-MS 预测的阴道微生物组不稳定性和固有免疫激活与早产相关,包括接受预防性宫颈环扎术以预防早产的女性。这些发现强调了通过快速评估阴道微生物组-宿主动力学,DESI-MS 直接对拭子进行代谢组学分析是一种用于早产风险分层的创新方法。