Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance

Amabebe, E. orcid.org/0000-0002-3924-5270, Reynolds, S. orcid.org/0000-0002-6463-8471 and Anumba, D.O.C. orcid.org/0000-0003-2502-3033 (2021) Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and Lactobacillus species dominance. Reproduction and Fertility, 2 (4). L4-L6. ISSN 2633-8386

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © The authors 2021. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: preterm delivery; vaginal microbiota; microbiota community state type; lactobacilli; 1H-NMR; metabolomics
Dates:
  • Accepted: 4 November 2021
  • Published (online): 2 December 2021
  • Published: 2 December 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Depositing User: Symplectic Sheffield
Date Deposited: 23 Mar 2022 14:52
Last Modified: 23 Mar 2022 14:52
Status: Published
Publisher: Bioscientifica
Refereed: Yes
Identification Number: https://doi.org/10.1530/raf-21-0065
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