Evidence map›Paper›PMID 41370350›Full record

ArticlePLoS computational biology2025

Modeling the interplay of sex hormones in cardiac hypertrophic signaling.

Adhithi Lakshmikanthan, Minnie Kay, Pim J A Oomen

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Adhithi LakshmikanthanDepartment of Biomedical Engineering, University of California, Irvine, Irvine, California, United States of America.
Minnie KayDepartment of Biomedical Engineering, University of California, Irvine, Irvine, California, United States of America.
Pim J A OomenDepartment of Biomedical Engineering, University of California, Irvine, Irvine, California, United States of America.ORCID 0000-0002-0069-4538

Funding

Multiscale Models for Predicting Short and Long-term Outcome of Cardiac Resynchronization TherapyR01HL159945 · NHLBI · UNIVERSITY OF VIRGINIA · PI BILCHICK, KENNETH C, HOLMES, JEFFREY W · 2021 to 2024
$2.6M
NHLBI NIH HHS R01 HL159945
6 · The paper itself

Abstract

Biological sex plays a crucial role in the outcomes of cardiac health and therapies. Sex hormones are known to strongly influence cardiac remodeling through intracellular signaling pathways, yet their underlying mechanisms remain unclear. To address this need, we developed and validated a logic-based systems biology model of cardiomyocyte hypertrophy that, for the first time, incorporates the effects of both estradiol (E2) and testosterone (T) alongside well-established hypertrophic stimuli (Strain, angiotensin II (AngII), and endothelin-1 (ET-1)). We qualitatively validated the model to literature data with 82% agreement. Quantitative validation was done by simulating the impact of the inputs (E2, T, Strain, AngII, and ET-1) on cardiac hypertrophy, captured as change in CellArea. We perturbed the validated model to examine the differential response to hypertrophy and identify changes in influential and sensitive downstream nodes for a pre-menopausal female, post-menopausal female, younger male, and older male condition. Our model shows how T and E2 interact with each other and other hypertrophic stimuli, with T demonstrating a more potent hypertrophic effect than E2. This model increases our understanding of the mechanisms through which sex hormones influence cardiac hypertrophy and can aid with developing more effective cardiac therapies for all patients.

Indexed as

CardiomegalyGonadal Steroid HormonesModels, CardiovascularSignal TransductionAngiotensin IIComputational BiologyComputer SimulationEndothelin-1EstradiolFemaleHumansMaleMyocytes, CardiacSystems BiologyTestosteroneAngiotensin IIEndothelin-1EstradiolGonadal Steroid HormonesTestosterone

Identifiers

PMID41370350
PMCPMC12704863

What Socratic 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 Socratic graph.