TY - JOUR
T1 - Direct on-swab metabolic profiling of vaginal microbiome host interactions during pregnancy and preterm birth
AU - Pruski, Pamela
AU - dos Santos Correia, Gonçalo
AU - Lewis, Holly
AU - Capuccini, Katia
AU - Inglese, Paolo
AU - Chan, Denise
AU - Brown, Richard
AU - Kindinger, Lindsay
AU - Lee, Yun
AU - Smith, Ann
AU - Marchesi, Julian
AU - McDonald, Julie
AU - Cameron, Simon
AU - Alexander-Hardiman, Kate
AU - David, Anna
AU - Stock, Sarah J E
AU - Norman, Jane
AU - Terzidou, Vasso
AU - Teoh, TG
AU - Sykes, Lynne
AU - Bennett, Phillip
AU - Takats, Zoltan
AU - MacIntyre, David
PY - 2021/10/13
Y1 - 2021/10/13
N2 - 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.
AB - 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.
U2 - 10.1038/s41467-021-26215-w
DO - 10.1038/s41467-021-26215-w
M3 - Article
SN - 2041-1723
VL - 12
JO - Nature Communications
JF - Nature Communications
M1 - 5967
ER -