oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Placental expression of microRNAs in infants born small for gestational age
Örebro University, School of Medical Sciences. Department of Obstetrics and Gynecology.
Örebro University, School of Medical Sciences. Department of Clinical Research Laboratory.
Örebro University, School of Medical Sciences. Department of Laboratory Medicine.ORCID iD: 0000-0003-2317-5738
Örebro University, School of Medical Sciences. Örebro University Hospital. Department of Pediatrics.ORCID iD: 0000-0002-5292-4913
2019 (English)In: Placenta, ISSN 0143-4004, E-ISSN 1532-3102, Vol. 81, p. 46-53Article in journal (Refereed) Published
Abstract [en]

INTRODUCTION: The molecular mechanisms behind poor foetal growth are not fully known. The aim of this study was to explore global microRNA expression in placentas of infants born small for gestational age (SGA) compared to infants with a normal birth weight (NBW).

METHODS: Placental biopsies from term infants were identified in a biobank and divided into four groups: infants born SGA with (n = 13) or without (n = 9) exposure to low maternal gestational weight gain (GWG) and infants born with NBWs with (n = 20) or without (n = 26) exposure to low GWG. All women and infants were healthy, and no woman smoked during pregnancy. Only vaginal deliveries were included. Next-generation sequencing was performed with single read sequencing of >9 million reads per sample. Differential microRNA expression was analysed using ANOVA for unequal variances (Welch) with multiple testing corrections through the Benjamini-Hochberg method. A fold change >2 and a corrected p value < 0.05 were considered significant. Adjustments for possible confounding factors were made using a linear regression model.

RESULTS: A total of 1870 known, mature human microRNAs were detected in the sample. MiR-3679-5p and miR-193b-3p were significantly upregulated, and miR-379-3p, miR-335-3p, miR-4532, miR-519e-3p, miR-3065-5p, and miR-105-5p were significantly downregulated after adjustment for potential confounding factors in SGA infants with normal GWG compared to infants with NBWs and normal GWG.

DISCUSSION: Infants born unexplained SGA show differential microRNA expression in their placenta. Important pathways for the differentially expressed microRNAs include inflammation and the insulin-IGF system.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 81, p. 46-53
Keywords [en]
Foetal growth, Inflammation, Placenta, RNA-Sequencing, Small for gestational age, microRNA
National Category
Obstetrics, Gynecology and Reproductive Medicine
Identifiers
URN: urn:nbn:se:oru:diva-74556DOI: 10.1016/j.placenta.2019.05.001ISI: 000468874700007PubMedID: 31138431Scopus ID: 2-s2.0-85065481896OAI: oai:DiVA.org:oru-74556DiVA, id: diva2:1320579
Note

Funding Agency:

Research Committee of Region Örebro County and ALF funding Region Örebro County

Available from: 2019-06-05 Created: 2019-06-05 Last updated: 2019-06-14Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records BETA

Östling, HannaKruse, RobertHelenius, GiselaLodefalk, Maria

Search in DiVA

By author/editor
Östling, HannaKruse, RobertHelenius, GiselaLodefalk, Maria
By organisation
School of Medical SciencesÖrebro University Hospital
In the same journal
Placenta
Obstetrics, Gynecology and Reproductive Medicine

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 28 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf