Evidence map›Paper›PMID 41929323›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Effects of Genetically-Proxied Antihypertensive Drug Targets on Preeclampsia and Birth Weight.

Maddalena Ardissino, Alec P Morley, Eleanor M F Richards, Julia Zöllner, Buu Truong, Catherine Williamson, Michael C Honigberg, James S Ware, Kypros Nicolaides, Antonio de Marvao

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Maddalena ArdissinoMRC Laboratory of Medical Sciences, Imperial College London, London, UK.ORCID 0000-0002-2654-8117
Alec P MorleyAddenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.ORCID 0009-0005-6021-2093
Eleanor M F RichardsDepartment of Gynaecological Oncology, University of Manchester, Manchester, United Kingdom.
Julia ZöllnerWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0002-9072-9131
Buu TruongProgram in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0003-0043-0812
Catherine WilliamsonInstitute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom.ORCID 0000-0002-6226-7611
Michael C HonigbergProgram in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0001-8630-5021
James S WareMRC Laboratory of Medical Sciences, Imperial College London, London, UK.ORCID 0000-0002-6110-5880
Kypros NicolaidesFetal Medicine Research Institute, King's College Hospital, London, UK.ORCID 0000-0003-1266-0711
Antonio de MarvaoMRC Laboratory of Medical Sciences, Imperial College London, London, UK.ORCID 0000-0001-9095-5887

Funding

Effects of IL-1 beta inhibition on vascular inflammation in TET2 clonal hematopoiesisR01HL173028 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Michael Honigberg, Mabel Toribio · 2025 to 2026
$1.7M
NHLBI NIH HHS R01 HL173028
6 · The paper itself

Abstract

Background: Preeclampsia is a leading cause of maternal and perinatal morbidity and mortality, and a major contributor to low birth weight. Beta blockers (BB) and calcium channel blockers (CCB) are the most commonly recommended agents to treat hypertension in pregnancy. Yet it remains unknown whether these agents alter the risk of preeclampsia (PE), and if so, whether effects arise through maternal physiology or through direct fetal mechanisms. Objectives: To use drug-target Mendelian randomization (MR) to estimate the effects of genetically-proxied inhibition of beta-adrenergic and L-type calcium-channel targets on PE risk, birth weight, partitioned into maternal and fetal genetic components, and gestational age (GA). Methods: We constructed instruments from genome-wide significant, LD-independent variants within prespecified windows around systolic blood pressure (SBP) modulating drug targets in addition to a genome-wide SBP instrument (European ancestry). Outcomes comprised of PE (16,349 cases / 595,135 controls), maternal and fetal genetic effects on birth weight (n≈210,267 and n≈298,142), and GA (n≈151,987). Two-sample MR estimated effects per 5mmHg decrease in SBP. Bayesian colocalization assessed shared causal variants. Multiple testing was controlled with Benjamini-Hochberg correction. Results: Genetically lower SBP was associated with reduced PE risk and modest increases in birth weight and GA. BB (ADRB1) target inhibition showed no convincing reduction in PE risk but was associated with lower birth weight, with associations predominantly through direct fetal genetic effects and strong colocalization at ADRB1 with fetal birth-weight signals. In contrast, CCB targets collectively associated with lower PE risk without consistent evidence of fetal growth impairment; colocalization support for individual CCB loci was limited. Sensitivity analyses (heterogeneity, pleiotropy) did not materially alter these patterns where instrument counts permitted. Conclusions: Drug-target MR suggests that BB pathways are unlikely to meaningfully reduce PE and are linked to reduced fetal growth - chiefly via direct fetal mechanisms. In contrast, CCB pathways are associated with lower PE risk and largely neutral fetal growth effects. These findings support prioritizing CCBs for evaluation in comparative trials of PE prevention.

Identifiers

PMID41929323
PMCPMC13042138

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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.