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

Emmanuel Amabebe

Emmanuel Amabebe Academic Unit of Reproductive and Developmental Medicine, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK

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Steven Reynolds

Steven Reynolds Academic Unit of Radiology, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK

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, and

Dilly O C Anumba

Dilly O C Anumba Academic Unit of Reproductive and Developmental Medicine, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK

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delivery (term = 250 and preterm = 50), we examined its potential to identify metabolic features associated with spontaneous PTD (sPTD) and microbiota community state types (CST). CSTs were determined for 83 of these samples by sequencing the V1–V3 region