Evidence map›Paper›PMID 41241091›Full record

ReviewCardiovascular pathology : the official journal of the Society for Cardiovascular Pathology

Transforming growth factor-beta (TGF-β) in the pathogenesis of hereditary thoracic aneurysm disorders.

Wendy A Espinoza Camejo, Emily E Bramel, Elena Gallo MacFarlane

Abstract readReview
In one paragraph

Review in Cardiovascular pathology : the official journal of the Society for Cardiovascular Pathology. 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

3 authors.

Wendy A Espinoza CamejoMcKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Predoctoral Training in Human Genetics and Genomics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Emily E BramelCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Elena Gallo MacFarlaneMcKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address: egallo1@jhmi.edu.

Funding

MECHANISTIC BASIS FOR REGIONAL PREDISPOSITION FOR ANEURYSMR01HL147947 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI GALLO MACFARLANE, ELENA · 2019 to 2023
$3.2M
NHLBI NIH HHS R01 HL147947
6 · The paper itself

Abstract

The transforming growth factor-beta (TGF-β) signaling pathway regulates biological processes critical to embryonic development and tissue homeostasis, including cell proliferation, differentiation, adhesion and migration. Perturbations in TGF-β signaling are linked to a wide range of human diseases, including those affecting the cardiovascular system. This review summarizes decades-long evidence documenting the importance of this pathway to hereditary forms of aortic disease and presents current perspectives on its role in pathogenesis. We discuss the dual role of TGF-β signaling in aneurysm progression, and its protective and maladaptive effects on vascular smooth muscle cells (VSMCs) phenotype, extracellular matrix (ECM) composition, and other disease-relevant signaling pathways.

Indexed as

Aortic Aneurysm, ThoracicMuscle, Smooth, VascularTransforming Growth Factor betaAnimalsExtracellular MatrixGenetic Predisposition to DiseaseHumansMyocytes, Smooth MusclePhenotypeSignal TransductionTransforming Growth Factor betaTGF-betaThoracic aortic aneurysm

Identifiers

PMID41241091
PMCPMC12723654

What OpenQuestion holds

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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.