Evidence map›Paper›PMID 39652454›Full record

ArticleJournal of diabetes investigation2025

Placental expression of GLUT-1, GLUT-3, and GLUT-4 mRNA and transcriptome profiling in pregnant women with diabetes.

Rafal Sibiak, Pawel Gutaj, Urszula Mantaj, Lukasz Adamczak, Malgorzata Blatkiewicz, Marcin Rucinski, Ewa Wender-Ozegowska

Abstract read
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Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rafal SibiakDepartment of Reproduction, Poznan University of Medical Sciences, Poznan, Poland.ORCID https://orcid.org/0000-0001-8346-0085
Pawel GutajDepartment of Reproduction, Poznan University of Medical Sciences, Poznan, Poland.
Urszula MantajDepartment of Reproduction, Poznan University of Medical Sciences, Poznan, Poland.
Lukasz AdamczakDepartment of Reproduction, Poznan University of Medical Sciences, Poznan, Poland.
Malgorzata BlatkiewiczDepartment of Histology and Embryology, Poznan University of Medical Sciences, Poznan, Poland.
Marcin RucinskiDepartment of Histology and Embryology, Poznan University of Medical Sciences, Poznan, Poland.
Ewa Wender-OzegowskaDepartment of Reproduction, Poznan University of Medical Sciences, Poznan, Poland.

Funding

Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu
6 · The paper itself

Abstract

AIMS/

introductionPlacental glucose transport is regulated by glucose transporter proteins (GLUTs). The study aimed to examine placental expression of GLUT-1, GLUT-3, and GLUT-4 mRNA in patients with type 1 diabetes, early gestational diabetes (eGDM), and healthy controls, and to investigate correlations between GLUTs expression and clinical parameters. Additionally, we compared placental transcriptome profiles in recruited subgroups. MATERIALS AND

methodsWe recruited 59 pregnant women: 23 with type 1 diabetes, 17 with eGDM, and 19 controls. Patients with diabetes attended follow-up visits at each trimester. Transcriptome studies were performed in 4 patients per subgroup.

resultsThe mean age was similar across all subgroups. eGDM patients had significantly higher BMI and were predominantly obese. We observed a significant 2-fold (P = 0.009) decrease in placental GLUT-3 mRNA expression in the type 1 diabetes and eGDM groups. GLUT-4 mRNA expression was significantly lower in the eGDM group compared to type 1 diabetes (3-fold) and controls (6-fold) (P = 0.007). There was a significant negative correlation between GLUT-3 (R = -0.29) and GLUT-4 (R = -0.27) mRNA expression and neonatal birth weight. GLUT-4 expression was negatively correlated with 1st trimester HbA1c (R = -0.72) and OGTT 120' (R = -0.82) results in eGDM patients, and 3rd trimester glycemic variability (R = -0.49) in type 1 diabetes. Microarray analysis revealed significant transcriptomic changes, with 45 down-regulated and 365 up-regulated genes in type 1 diabetes, and 21 significant changes in eGDM.

conclusionsPlacental samples from patients with diabetes exhibit changes in GLUTs expression, which correlates with neonatal growth and several glycemic parameters. Additionally, multiple changes in transcriptomic profiles are observed in hyperglycemic patients.

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 1Glucose Transporter Type 1Glucose Transporter Type 3Glucose Transporter Type 4PlacentaPregnancy in DiabeticsTranscriptomeAdultCase-Control StudiesFemaleGene Expression ProfilingHumansPregnancyRNA, MessengerGlucose Transporter Type 1Glucose Transporter Type 3Glucose Transporter Type 4RNA, MessengerSLC2A1 protein, humanSLC2A3 protein, humanSLC2A4 protein, humanGlucose transportersPlacentaTranscriptome

Identifiers

PMID39652454
PMCPMC11871384

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.