Spectral binning of cervicovaginal fluid metabolites improves prediction of spontaneous preterm birth and <i>Lactobacillus</i> species dominance.

Amabebe, Emmanuel; Reynolds, Steven; Anumba, Dilly O C

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

Amabebe, Emmanuel; Reynolds, Steven; Anumba, Dilly O C.

Afiliación

Amabebe E; Academic Unit of Reproductive and Developmental Medicine, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK.
Reynolds S; Academic Unit of Radiology, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Anumba DOC; Academic Unit of Reproductive and Developmental Medicine, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK.

Reprod Fertil ; 2(4): L4-L6, 2021 12.

Article en En | MEDLINE | ID: mdl-35118412

Asunto(s)

Microbiota; Nacimiento Prematuro; Bacterias; Femenino; Glutamatos; Humanos; Recién Nacido; Lactatos; Lactobacillus; Embarazo; Vagina

Palabras clave

1H-NMR; lactobacilli; metabolomics; microbiota community state type; preterm delivery; vaginal microbiota

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nacimiento Prematuro / Microbiota Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Newborn / Pregnancy Idioma: En Revista: Reprod Fertil Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

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