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The impact of metformin on placental ageing in humans and mice

Hattersley GJ, Yang L, Tarry-Adkins JL, Hufnagel A, Wong KK, Fernandez-Twinn DS, Chukanova M, Robinson IG et al.

The Journal of physiology, 2025

105 participants

Abstract

Placental ageing refers to the physiological accumulation of a senescent phenotype over a healthy pregnancy. In pregnancies affected by complications such as pre-eclampsia and fetal growth restriction, placental ageing is notably accelerated and observed at an earlier gestational age. Metformin is used during pregnancy for an increasing variety of indications, including treatment of gestational diabetes, and may have a role in slowing cellular ageing. It is therefore essential to understand the potential impact of metformin on placental ageing. Placental samples (n = 105) were obtained from women with body mass index ≥30 kg/m2 and who were randomized to treatment with metformin or placebo during pregnancy. Ageing was assessed by measuring telomere length, histological examination, and using array-based technologies to investigate gene expression and methylation. Results were validated using isolated human trophoblasts treated in vitro with metformin, and in a complementary mouse model. There were no differences between metformin-exposed and control placentas in terms of telomere length, fibrosis or calcification. There were no differences in placental gene expression or methylation patterns by metformin status. In our mouse model, no genes classically associated with cellular ageing were differentially expressed and no senescence pathway showed evidence of enrichment with metformin treatment. There was no evidence that metformin either slows or accelerates placental ageing…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 105 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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