Grace J. Hattersley, Liu Yang, Jane L. Tarry-Adkins, Antonia Hufnagel, Kwun Kiu Wong, Denise S. Fernandez-Twinn, Maria Chukanova, India G. Robinson, Amanda J. Drake, Rebecca M. Reynolds, Susan E. Ozanne, Catherine E. Aiken
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引用次数: 0
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 pathways in the complementary models that we investigated. Our findings are reassuring with regard to the safety of metformin used to treat gestational diabetes, but do not support a role for metformin in the prevention of adverse pregnancy outcomes in non-diabetic women.
Key points
Accelerated placental ageing, where the senescent phenotype that normally accumulates over a healthy pregnancy is observed at a premature gestational age, is associated with adverse pregnancy outcomes.
Metformin has been proposed as an anti-ageing drug elsewhere. Therefore, metformin could alter the trajectory of placental ageing and prevent associated pregnancy complications.
The present study incorporated human data from a randomized clinical trial and complementary models. Metformin did not impact methylation-predicted gestational age, telomere length, gene expression or histological ageing in human placentas treated in vivo, isolated trophoblasts treated in vitro or mouse models.
Metformin neither decelerated nor accelerated placental ageing, thereby supporting its continued use in the obstetric setting, for instance in the treatment of gestational diabetes.
Metformin cannot be recommended to prevent adverse pregnancy outcomes because we found no evidence suggesting it decelerates placental ageing. Further research is warranted to find drug therapies for this purpose.
期刊介绍:
The Journal of Physiology publishes full-length original Research Papers and Techniques for Physiology, which are short papers aimed at disseminating new techniques for physiological research. Articles solicited by the Editorial Board include Perspectives, Symposium Reports and Topical Reviews, which highlight areas of special physiological interest. CrossTalk articles are short editorial-style invited articles framing a debate between experts in the field on controversial topics. Letters to the Editor and Journal Club articles are also published. All categories of papers are subjected to peer reivew.
The Journal of Physiology welcomes submitted research papers in all areas of physiology. Authors should present original work that illustrates new physiological principles or mechanisms. Papers on work at the molecular level, at the level of the cell membrane, single cells, tissues or organs and on systems physiology are all acceptable. Theoretical papers and papers that use computational models to further our understanding of physiological processes will be considered if based on experimentally derived data and if the hypothesis advanced is directly amenable to experimental testing. While emphasis is on human and mammalian physiology, work on lower vertebrate or invertebrate preparations may be suitable if it furthers the understanding of the functioning of other organisms including mammals.