Literature DB >> 35138876

Maternal Hypertension Increases Risk of Preeclampsia and Low Fetal Birthweight: Genetic Evidence From a Mendelian Randomization Study.

Maddalena Ardissino1,2, Eric A W Slob3, Ophelia Millar1, Rohin K Reddy1, Laura Lazzari1, Kiran Haresh Kumar Patel1, David Ryan4, Mark R Johnson5, Dipender Gill6,4, Fu Siong Ng1.   

Abstract

BACKGROUND: Maternal cardiovascular risk factors have been associated with adverse maternal and fetal outcomes. Given the difficulty in establishing causal relationships using epidemiological data, we applied Mendelian randomization to explore the role of cardiovascular risk factors on risk of developing preeclampsia or eclampsia, and low fetal birthweight.
METHODS: Uncorrelated single-nucleotide polymorphisms associated systolic blood pressure (SBP), body mass index, type 2 diabetes, LDL (low-density lipoprotein) with cholesterol, smoking, urinary albumin-to-creatinine ratio, and estimated glomerular filtration rate at genome-wide significance in studies of 298 957 to 1 201 909 European ancestry participants were selected as instrumental variables. A 2-sample Mendelian randomization study was performed with primary outcome of preeclampsia or eclampsia (PET). Risk factors associated with PET were further investigated for their association with low birthweight.
RESULTS: Higher genetically predicted SBP was associated increased risk of PET (odds ratio [OR] per 1-SD SBP increase 1.90 [95% CI=1.45-2.49]; P=3.23×10-6) and reduced birthweight (OR=0.83 [95% CI=0.79-0.86]; P=3.96×10-18), and this was not mediated by PET. Body mass index and type 2 diabetes were also associated with PET (respectively, OR per 1-SD body mass index increase =1.67 [95% CI=1.44-1.94]; P=7.45×10-12; and OR per logOR increase type 2 diabetes =1.11 [95% CI=1.04-1.19]; P=1.19×10-3), but not with reduced birthweight.
CONCLUSIONS: Our results provide evidence for causal effects of SBP, body mass index, and type 2 diabetes on PET and identify that SBP is associated with reduced birthweight independently of PET. The results provide insight into the pathophysiological basis of PET and identify hypertension as a potentially modifiable risk factor amenable to therapeutic intervention.

Entities:  

Keywords:  birth weight; blood pressure; body mass index; preeclampsia; risk factors

Mesh:

Year:  2022        PMID: 35138876      PMCID: PMC7612410          DOI: 10.1161/HYPERTENSIONAHA.121.18617

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   9.897


  60 in total

Review 1.  Shared and disparate components of the pathophysiologies of fetal growth restriction and preeclampsia.

Authors:  Roberta B Ness; Baha M Sibai
Journal:  Am J Obstet Gynecol       Date:  2006-04-21       Impact factor: 8.661

2.  Weight in infancy and death from ischaemic heart disease.

Authors:  D J Barker; P D Winter; C Osmond; B Margetts; S J Simmonds
Journal:  Lancet       Date:  1989-09-09       Impact factor: 79.321

3.  Impact of preeclampsia and gestational hypertension on birth weight by gestational age.

Authors:  Xu Xiong; Nestor N Demianczuk; L Duncan Saunders; Fu-Lin Wang; William D Fraser
Journal:  Am J Epidemiol       Date:  2002-02-01       Impact factor: 4.897

Review 4.  Pre-eclampsia and future cardiovascular risk among women: a review.

Authors:  Raheel Ahmed; Joseph Dunford; Roxana Mehran; Stephen Robson; Vijay Kunadian
Journal:  J Am Coll Cardiol       Date:  2014-03-05       Impact factor: 24.094

5.  Effect of pre-eclampsia-eclampsia on major cardiovascular events among peripartum women in Taiwan.

Authors:  Yu-Sheng Lin; Chao-Hsiun Tang; Chen-Yuan Charlie Yang; Lung-Sheng Wu; Sheng-Tzu Hung; Hsiao-Lin Hwa; Pao-Hsien Chu
Journal:  Am J Cardiol       Date:  2011-01-15       Impact factor: 2.778

6.  Hypertension in pregnancy: Prevalence, risk factors and outcomes for women birthing in Ireland.

Authors:  Lisa Corrigan; Anne O'Farrell; Patrick Moran; Deirdre Daly
Journal:  Pregnancy Hypertens       Date:  2021-02-14       Impact factor: 2.899

7.  Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects.

Authors:  Stephen Burgess; Simon G Thompson
Journal:  Am J Epidemiol       Date:  2015-01-27       Impact factor: 4.897

8.  Evidence for causal effects of lifetime smoking on risk for depression and schizophrenia: a Mendelian randomisation study.

Authors:  Robyn E Wootton; Rebecca C Richmond; Bobby G Stuijfzand; Rebecca B Lawn; Hannah M Sallis; Gemma M J Taylor; Gibran Hemani; Hannah J Jones; Stanley Zammit; George Davey Smith; Marcus R Munafò
Journal:  Psychol Med       Date:  2019-11-06       Impact factor: 7.723

Review 9.  Clinical risk factors for pre-eclampsia determined in early pregnancy: systematic review and meta-analysis of large cohort studies.

Authors:  Emily Bartsch; Karyn E Medcalf; Alison L Park; Joel G Ray
Journal:  BMJ       Date:  2016-04-19

10.  A comparison of robust Mendelian randomization methods using summary data.

Authors:  Eric A W Slob; Stephen Burgess
Journal:  Genet Epidemiol       Date:  2020-04-06       Impact factor: 2.344

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