Evidence map›Paper›PMID 42766183›Full record

ReviewCurrent hypertension reports2026

Therapeutics Beyond Delivery: Repurposed Drugs and Biologic Pathways.

Michael Wilkinson, Jenny Myers

Abstract readReview
In one paragraph

Review in Current hypertension reports, 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

2 authors.

Michael WilkinsonMaternal and Fetal Health Research Centre, University of Manchester, St Mary's Hospital, Oxford Road, M13 9WL, Manchester, United Kingdom. michael.wilkinson-2@manchester.ac.uk.
Jenny MyersMaternal and Fetal Health Research Centre, University of Manchester, St Mary's Hospital, Oxford Road, M13 9WL, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewPre-eclampsia remains a leading cause of maternal and perinatal morbidity and mortality worldwide, yet no disease-modifying therapy currently exists. This review examines the challenges inherent in developing therapeutics for pre-eclampsia, and evaluates the evidence for repurposing existing drugs and developing novel biologic strategies to treat preterm pre-eclampsia. RECENT

findingsMetformin has demonstrated a trend towards prolongation of pregnancy in a randomized controlled trial, with larger trials ongoing. Proton pump inhibitors and sulfasalazine show compelling preclinical efficacy, though neither has yet translated to clinical benefit, possibly reflecting inadequate drug exposure in vivo. Novel biologic approaches, including sFlt-1-targeting siRNA, complement inhibition with eculizumab, and placenta-tropic lipid nanoparticle delivery systems, represent promising emerging strategies. Advancing molecular classification of pre-eclampsia is essential to identifying targetable pathways and selecting patients most likely to benefit from specific interventions. Improved pharmacokinetic evaluation in pregnancy, earlier identification of at-risk women using circulating biomarkers, and regulatory frameworks supportive of obstetric research will be critical to translating promising candidates into effective therapies.

Indexed as

Drug RepositioningPre-EclampsiaAnimalsAntibodies, Monoclonal, HumanizedFemaleHumansMetforminPregnancyProton Pump InhibitorsSulfasalazineAntibodies, Monoclonal, HumanizedMetforminProton Pump InhibitorsSulfasalazinebiologicnovelplacental dysfunctionPre-eclampsiatreatment

Identifiers

PMID42766183
PMCPMC13593711

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.