Evidence map›Paper›PMID 42370279›Full record

ArticleResearch square2026

Dynamic [

William Terrell, Jie Li, Damodara N Kommi, Megan Burt, Maurits A Jansen, Shivashankar Khanapur, Susanna R Keller, Bijoy Kundu

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 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

8 authors.

William TerrellDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA.
Jie LiDepartment of Medicine, Division of Endocrinology and Metabolism, University of Virginia, Charlottesville, VA.
Damodara N KommiRadiochemistry Core, University of Virginia, Charlottesville, VA.
Megan BurtMolecular Imaging Core, University of Virginia, Charlottesville, VA.
Maurits A JansenDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA.
Shivashankar KhanapurDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA.
Susanna R KellerDepartment of Medicine, Division of Endocrinology and Metabolism, University of Virginia, Charlottesville, VA.
Bijoy KunduDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA.

Funding

Small-Animal 9.4T MRI for Biomedical ResearchS10OD025024 · OD · UNIVERSITY OF VIRGINIA · PI BERR, STUART S. · 2019 to 2019
$2.0M
Myocardial Metabolic Remodeling in Cardiac HypertrophyR01HL123627 · NHLBI · UNIVERSITY OF VIRGINIA · PI KUNDU, BIJOY K · 2015 to 2018
$1.9M
Trimodal PET/SPECT/CT Preclinical Scanner for Biomedical ResearchS10OD021672 · OD · UNIVERSITY OF VIRGINIA · PI BERR, STUART S. · 2016 to 2016
$1.2M
NHLBI NIH HHS R01 HL123627NIH HHS S10 OD021672NIH HHS S10 OD025024
6 · The paper itself

Abstract

Purpose: Left ventricular hypertrophy (LVH) is a major complication of chronic hypertension and an independent cardiovascular risk factor. No clinically validated markers exist to identify hypertensive individuals at risk for developing LVH. We previously described metabolic changes preceding LVH in hypertensive rat hearts, including alterations in branched-chain amino acid (BCAA) metabolism. This study investigated whether impaired cardiac leucine uptake, measured with dynamic 5-[ Procedures: [ Results: SHR demonstrated markedly lower K Conclusions: Dynamic cardiac [

Indexed as

[18F]Fluoroleucine PETBranched-chain amino acid uptake and metabolismCardiometabolic imagingHypertensionLAT1Left ventricular hypertrophy

Identifiers

PMID42370279
PMCPMC13308381

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.