Autor: |
Pamela Pruski, Gonçalo D. S. Correia, Holly V. Lewis, Katia Capuccini, Paolo Inglese, Denise Chan, Richard G. Brown, Lindsay Kindinger, Yun S. Lee, Ann Smith, Julian Marchesi, Julie A. K. McDonald, Simon Cameron, Kate Alexander-Hardiman, Anna L. David, Sarah J. Stock, Jane E. Norman, Vasso Terzidou, T. G. Teoh, Lynne Sykes, Phillip R. Bennett, Zoltan Takats, David A. MacIntyre |
Jazyk: |
angličtina |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021) |
Druh dokumentu: |
article |
ISSN: |
2041-1723 |
DOI: |
10.1038/s41467-021-26215-w |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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