Direct on-swab metabolic profiling of vaginal microbiome host interactions during pregnancy and preterm birth.
Direct on-swab metabolic profiling of vaginal microbiome host interactions during pregnancy and preterm birth.
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孕期和早产期间阴道微生物组与宿主相互作用的直接拭子代谢谱分析
DOI:
10.1038/s41467-021-26215-w
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发表时间:
2021-10-13
影响因子:
16.6
通讯作者:
MacIntyre DA
中科院分区:
文献类型:
--
作者:
Pruski P;Correia GDS;Lewis HV;Capuccini K;Inglese P;Chan D;Brown RG;Kindinger L;Lee YS;Smith A;Marchesi J;McDonald JAK;Cameron S;Alexander-Hardiman K;David AL;Stock SJ;Norman JE;Terzidou V;Teoh TG;Sykes L;Bennett PR;Takats Z;MacIntyre DA
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. Here, the authors apply DESI-MS, a sample preparation-free, direct on-swab mass spectrometry analytical tool, to profile the cervicovaginal metabolome of two independent cohorts of pregnant women and, combined with matched metataxonomic and immuno-profiling data, show that DESI-MS predicts vaginal microbiota composition and local inflammatory status associated with preterm birth and clinical interventions used during pregnancy.
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影响因子:
9.3
作者:
Brown RG;Marchesi JR;Lee YS;Smith A;Lehne B;Kindinger LM;Terzidou V;Holmes E;Nicholson JK;Bennett PR;MacIntyre DA
通讯作者:
MacIntyre DA
影响因子:
4.4
作者:
Fettweis JM;Serrano MG;Sheth NU;Mayer CM;Glascock AL;Brooks JP;Jefferson KK;Vaginal Microbiome Consortium (additional members);Buck GA
通讯作者:
Buck GA
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.
DOI:
10.1111/1471-0528.15981
发表时间:
2019-11-20
影响因子:
5.8
作者:
Borgogna, J. C.;Shardell, M. D.;Brotman, R. M.
通讯作者:
Brotman, R. M.
影响因子:
3
作者:
Al-Mushrif, S;Eley, A;Jones, BM
通讯作者:
Jones, BM