Evidence map›Paper›PMID 41959392›Full record

ArticlebioRxiv : the preprint server for biology2026

Deletion of endothelial KLF4 as a model for preeclampsia.

Emily Meredith, Andrew T Meredith, Arya Mani, Martin A Schwartz

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

4 authors.

Emily MeredithYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT 06511, USA.ORCID 0000-0003-1550-1935
Andrew T MeredithYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT 06511, USA.
Arya ManiYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT 06511, USA.
Martin A SchwartzYale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT 06511, USA.ORCID 0000-0002-2071-1243

Funding

Vascular Training GrantT32HL007950 · NHLBI · YALE UNIVERSITY · PI JEFFREY R. BENDER, Daniel Greif · 2000 to 2026
$9.6M
A QUANTITATIVE, PREDICTIVE MODEL OF VASCULAR REMODELING IN HEALTH AND DISEASER01HL171773 · NHLBI · YALE UNIVERSITY · PI Martin A Schwartz, Michael Simons · 2024 to 2026
$2.0M
NHLBI NIH HHS R01 HL171773NHLBI NIH HHS T32 HL007950
6 · The paper itself

Abstract

Preeclampsia (PE), or gestational hypertension, affects around 5% of pregnancies and leads to approximately 70,000 maternal and 500,000 fetal deaths per year worldwide, with increased cardiovascular and metabolic disease in survivors. PE is associated with elevated circulating levels of the alternative splice isoform of VEGF receptor 1 (sFlt1), defects in placental vasculature, kidney damage and, in severe disease, fetal growth restriction. Current mouse models induce PE via direct expression of sFlt1 or elevation of blood pressure, which bypass the natural risk factors for human disease, such as age, obesity, hypertension and diabetes. These risk factors have in common reduced expression of Krüppel-like factors 2 and 4 (KLF2/4), the endothelial transcription factors that protect against cardiovascular disease. We now report that inducible deletion of

Indexed as

endothelial cellgestational hypertensionHypertensionKLF2/4preeclampsiasFLT1

Identifiers

PMID41959392
PMCPMC13060099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.