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Maternal plasma miRNAs as potential biomarkers for detecting risk of small-for-gestational-age births

BACKGROUND: Small-for-gestational-age fetuses (SGA) (birthweight <10th centile) are at high risk for stillbirth or long-term adverse outcomes. Here, we investigate the ability of circulating maternal plasma miRNAs to determine the risk of SGA births. METHODS: Maternal plasma samples from 29 women...

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Autores principales: Kim, Sung Hye, MacIntyre, David A., Binkhamis, Reem, Cook, Joanna, Sykes, Lynne, Bennett, Phillip R., Terzidou, Vasso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708817/
https://www.ncbi.nlm.nih.gov/pubmed/33260001
http://dx.doi.org/10.1016/j.ebiom.2020.103145
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author Kim, Sung Hye
MacIntyre, David A.
Binkhamis, Reem
Cook, Joanna
Sykes, Lynne
Bennett, Phillip R.
Terzidou, Vasso
author_facet Kim, Sung Hye
MacIntyre, David A.
Binkhamis, Reem
Cook, Joanna
Sykes, Lynne
Bennett, Phillip R.
Terzidou, Vasso
author_sort Kim, Sung Hye
collection PubMed
description BACKGROUND: Small-for-gestational-age fetuses (SGA) (birthweight <10th centile) are at high risk for stillbirth or long-term adverse outcomes. Here, we investigate the ability of circulating maternal plasma miRNAs to determine the risk of SGA births. METHODS: Maternal plasma samples from 29 women of whom 16 subsequently delivered normally grown babies and 13 delivered SGA (birthweight <5th centile) were selected from a total of 511 women recruited to form a discovery cohort in which expression data for a total of 800 miRNAs was determined using the Nanostring nCounter miRNA assay. Validation by RT-qPCR was performed in an independent cohort. FINDINGS: Partial least-squares discriminant analysis (PLS-DA) of the Nanostring nCounter miRNA assay initially identified seven miRNAs at 12–14(+6) weeks gestation, which discriminated between SGA cases and controls. Four of these were technically validated by RT-qPCR. Differential expression of two miRNA markers; hsa-miR-374a-5p (p = 0•0176) and hsa-let-7d-5p (p = 0•0036), were validated in an independent population of 95 women (SGA n = 12, Control n = 83). In the validation cohort, which was enriched for SGA cases, the ROC AUCs were 0•71 for hsa-miR-374a-5p, and 0•74 for hsa-let-7d-5p, and 0•77 for the two combined. INTERPRETATION: Whilst larger population-wide studies are required to validate their performance, these findings highlight the potential of circulating miRNAs to act as biomarkers for early prediction of SGA births. FUNDING: This work was supported by Genesis Research Trust, March of Dimes, and the National Institute for Health Research Biomedical Research Centre (NIHR BRC) based at Imperial Healthcare NHS Trust and Imperial College London.
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spelling pubmed-77088172020-12-09 Maternal plasma miRNAs as potential biomarkers for detecting risk of small-for-gestational-age births Kim, Sung Hye MacIntyre, David A. Binkhamis, Reem Cook, Joanna Sykes, Lynne Bennett, Phillip R. Terzidou, Vasso EBioMedicine Research Paper BACKGROUND: Small-for-gestational-age fetuses (SGA) (birthweight <10th centile) are at high risk for stillbirth or long-term adverse outcomes. Here, we investigate the ability of circulating maternal plasma miRNAs to determine the risk of SGA births. METHODS: Maternal plasma samples from 29 women of whom 16 subsequently delivered normally grown babies and 13 delivered SGA (birthweight <5th centile) were selected from a total of 511 women recruited to form a discovery cohort in which expression data for a total of 800 miRNAs was determined using the Nanostring nCounter miRNA assay. Validation by RT-qPCR was performed in an independent cohort. FINDINGS: Partial least-squares discriminant analysis (PLS-DA) of the Nanostring nCounter miRNA assay initially identified seven miRNAs at 12–14(+6) weeks gestation, which discriminated between SGA cases and controls. Four of these were technically validated by RT-qPCR. Differential expression of two miRNA markers; hsa-miR-374a-5p (p = 0•0176) and hsa-let-7d-5p (p = 0•0036), were validated in an independent population of 95 women (SGA n = 12, Control n = 83). In the validation cohort, which was enriched for SGA cases, the ROC AUCs were 0•71 for hsa-miR-374a-5p, and 0•74 for hsa-let-7d-5p, and 0•77 for the two combined. INTERPRETATION: Whilst larger population-wide studies are required to validate their performance, these findings highlight the potential of circulating miRNAs to act as biomarkers for early prediction of SGA births. FUNDING: This work was supported by Genesis Research Trust, March of Dimes, and the National Institute for Health Research Biomedical Research Centre (NIHR BRC) based at Imperial Healthcare NHS Trust and Imperial College London. Elsevier 2020-11-28 /pmc/articles/PMC7708817/ /pubmed/33260001 http://dx.doi.org/10.1016/j.ebiom.2020.103145 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Kim, Sung Hye
MacIntyre, David A.
Binkhamis, Reem
Cook, Joanna
Sykes, Lynne
Bennett, Phillip R.
Terzidou, Vasso
Maternal plasma miRNAs as potential biomarkers for detecting risk of small-for-gestational-age births
title Maternal plasma miRNAs as potential biomarkers for detecting risk of small-for-gestational-age births
title_full Maternal plasma miRNAs as potential biomarkers for detecting risk of small-for-gestational-age births
title_fullStr Maternal plasma miRNAs as potential biomarkers for detecting risk of small-for-gestational-age births
title_full_unstemmed Maternal plasma miRNAs as potential biomarkers for detecting risk of small-for-gestational-age births
title_short Maternal plasma miRNAs as potential biomarkers for detecting risk of small-for-gestational-age births
title_sort maternal plasma mirnas as potential biomarkers for detecting risk of small-for-gestational-age births
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708817/
https://www.ncbi.nlm.nih.gov/pubmed/33260001
http://dx.doi.org/10.1016/j.ebiom.2020.103145
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