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Metabolite Profile of Cervicovaginal Fluids from Early Pregnancy Is Not Predictive of Spontaneous Preterm Birth

In our study, we used a mass spectrometry-based metabolomic approach to search for biomarkers that may act as early indicators of spontaneous preterm birth (sPTB). Samples were selected as a nested case-control study from the Screening for Pregnancy Endpoints (SCOPE) biobank in Auckland, New Zealand...

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Autores principales: Thomas, Melinda M., Sulek, Karolina, McKenzie, Elizabeth J., Jones, Beatrix, Han, Ting-Li, Villas-Boas, Silas G., Kenny, Louise C., McCowan, Lesley M. E., Baker, Philip N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4661910/
https://www.ncbi.nlm.nih.gov/pubmed/26610472
http://dx.doi.org/10.3390/ijms161126052
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author Thomas, Melinda M.
Sulek, Karolina
McKenzie, Elizabeth J.
Jones, Beatrix
Han, Ting-Li
Villas-Boas, Silas G.
Kenny, Louise C.
McCowan, Lesley M. E.
Baker, Philip N.
author_facet Thomas, Melinda M.
Sulek, Karolina
McKenzie, Elizabeth J.
Jones, Beatrix
Han, Ting-Li
Villas-Boas, Silas G.
Kenny, Louise C.
McCowan, Lesley M. E.
Baker, Philip N.
author_sort Thomas, Melinda M.
collection PubMed
description In our study, we used a mass spectrometry-based metabolomic approach to search for biomarkers that may act as early indicators of spontaneous preterm birth (sPTB). Samples were selected as a nested case-control study from the Screening for Pregnancy Endpoints (SCOPE) biobank in Auckland, New Zealand. Cervicovaginal swabs were collected at 20 weeks from women who were originally assessed as being at low risk of sPTB. Samples were analysed using gas chromatography-mass spectrometry (GC-MS). Despite the low amount of biomass (16–23 mg), 112 compounds were detected. Statistical analysis showed no significant correlations with sPTB. Comparison of reported infection and plasma inflammatory markers from early pregnancy showed two inflammatory markers were correlated with reported infection, but no correlation with any compounds in the metabolite profile was observed. We hypothesise that the lack of biomarkers of sPTB in the cervicovaginal fluid metabolome is simply because it lacks such markers in early pregnancy. We propose alternative biofluids be investigated for markers of sPTB. Our results lead us to call for greater scrutiny of previously published metabolomic data relating to biomarkers of sPTB in cervicovaginal fluids, as the use of small, high risk, or late pregnancy cohorts may identify metabolite biomarkers that are irrelevant for predicting risk in normal populations.
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spelling pubmed-46619102015-12-10 Metabolite Profile of Cervicovaginal Fluids from Early Pregnancy Is Not Predictive of Spontaneous Preterm Birth Thomas, Melinda M. Sulek, Karolina McKenzie, Elizabeth J. Jones, Beatrix Han, Ting-Li Villas-Boas, Silas G. Kenny, Louise C. McCowan, Lesley M. E. Baker, Philip N. Int J Mol Sci Communication In our study, we used a mass spectrometry-based metabolomic approach to search for biomarkers that may act as early indicators of spontaneous preterm birth (sPTB). Samples were selected as a nested case-control study from the Screening for Pregnancy Endpoints (SCOPE) biobank in Auckland, New Zealand. Cervicovaginal swabs were collected at 20 weeks from women who were originally assessed as being at low risk of sPTB. Samples were analysed using gas chromatography-mass spectrometry (GC-MS). Despite the low amount of biomass (16–23 mg), 112 compounds were detected. Statistical analysis showed no significant correlations with sPTB. Comparison of reported infection and plasma inflammatory markers from early pregnancy showed two inflammatory markers were correlated with reported infection, but no correlation with any compounds in the metabolite profile was observed. We hypothesise that the lack of biomarkers of sPTB in the cervicovaginal fluid metabolome is simply because it lacks such markers in early pregnancy. We propose alternative biofluids be investigated for markers of sPTB. Our results lead us to call for greater scrutiny of previously published metabolomic data relating to biomarkers of sPTB in cervicovaginal fluids, as the use of small, high risk, or late pregnancy cohorts may identify metabolite biomarkers that are irrelevant for predicting risk in normal populations. MDPI 2015-11-19 /pmc/articles/PMC4661910/ /pubmed/26610472 http://dx.doi.org/10.3390/ijms161126052 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Thomas, Melinda M.
Sulek, Karolina
McKenzie, Elizabeth J.
Jones, Beatrix
Han, Ting-Li
Villas-Boas, Silas G.
Kenny, Louise C.
McCowan, Lesley M. E.
Baker, Philip N.
Metabolite Profile of Cervicovaginal Fluids from Early Pregnancy Is Not Predictive of Spontaneous Preterm Birth
title Metabolite Profile of Cervicovaginal Fluids from Early Pregnancy Is Not Predictive of Spontaneous Preterm Birth
title_full Metabolite Profile of Cervicovaginal Fluids from Early Pregnancy Is Not Predictive of Spontaneous Preterm Birth
title_fullStr Metabolite Profile of Cervicovaginal Fluids from Early Pregnancy Is Not Predictive of Spontaneous Preterm Birth
title_full_unstemmed Metabolite Profile of Cervicovaginal Fluids from Early Pregnancy Is Not Predictive of Spontaneous Preterm Birth
title_short Metabolite Profile of Cervicovaginal Fluids from Early Pregnancy Is Not Predictive of Spontaneous Preterm Birth
title_sort metabolite profile of cervicovaginal fluids from early pregnancy is not predictive of spontaneous preterm birth
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4661910/
https://www.ncbi.nlm.nih.gov/pubmed/26610472
http://dx.doi.org/10.3390/ijms161126052
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