Evidence map›Paper›PMID 37090681›Full record

ArticlebioRxiv : the preprint server for biology2023

Computational Screen for Sex-Specific Drug Effects in a Cardiac Fibroblast Network Model.

Kelsey M Watts, Wesley Nichols, William J Richardson

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Kelsey M WattsDepartment of Bioengineering, Clemson University, Clemson, SC 29634, USA.
Wesley NicholsDepartment of Bioengineering, Clemson University, Clemson, SC 29634, USA.
William J RichardsonDepartment of Chemical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Clemson University · USUniversity of Arkansas at Fayetteville · US

Funding

Systems Mechanobiology Modeling for Patient-Specific Cardiac Fibrosis PredictionsR01HL144927 · NHLBI · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI RICHARDSON, WILLIAM JAMES · 2019 to 2023
$1.8M
NHLBI NIH HHS R01 HL144927
6 · The paper itself

Abstract

Heart disease is the leading cause of death in both men and women. Cardiac fibrosis is the uncontrolled accumulation of extracellular matrix proteins which can exacerbate the progression of heart failure, and there are currently no drugs approved specifically to target matrix accumulation in the heart. Computational signaling network models (SNMs) can be used to facilitate discovery of novel drug targets. However, the vast majority of SNMs are not sex-specific and/or are developed and validated using data skewed towards male in vitro and in vivo samples. Biological sex is an important consideration in cardiovascular health and drug development. In this study, we integrate a previously constructed cardiac fibroblast SNM with estrogen signaling pathways to create sex-specific SNMs. The sex-specific SNMs maintained previously high validation when compared to

Identifiers

PMID37090681
PMCPMC10120687
OpenAlexW4365446649

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.