Evidence map›Paper›PMID 42771692›Full record

ArticlePLoS computational biology2026

A physiology-based mathematical model of the renin-angiotensin system, bone remodeling, and calcium homeostasis: Effects of estrogen and renin-angiotensin system inhibitors.

Melissa M Stadt, Victoria A Ralph, Anita T Layton

Abstract read
In one paragraph

Article in PLoS computational 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.

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0citing papers in PubMed
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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

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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

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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.

Melissa M StadtDepartment of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada.ORCID 0000-0002-4215-8004
Victoria A RalphDepartment of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada.ORCID 0009-0006-3387-5884
Anita T LaytonDepartment of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada.ORCID 0000-0002-1753-4063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During menopause, estrogen levels decline significantly, leading to substantial physiological changes due to estrogen's regulatory role in various systems. In particular, estrogen helps prevent excessive bone resorption by its impact on bone remodeling. When estrogen levels decrease, bone resorption increases, often resulting in weakened bones and osteoporosis in post-menopausal women. Experimental studies have also shown that estrogen regulates the renin-angiotensin system (RAS), a hormone system involved in many physiological processes, including blood pressure regulation. Additionally, the RAS has an interconnected relationship with calcium regulatory and bone remodeling systems. Given these dynamic interplays, we developed a physiology-based mathematical model that simulates the interactions of estrogen, key RAS components, calcium regulation, and bone remodeling to investigate how perturbations in one system affect the others. This represents the first known model to include the direct impacts of estrogen on the RAS and to couple the RAS with calcium homeostasis and bone remodelling systems in humans. Through model simulations and sensitivity analysis, we investigated how declining estrogen levels affect the RAS and bone mineral density. Furthermore, we quantified how RAS inhibitors, specifically angiotensin-converting enzyme inhibitors (ACEi) and angiotensin receptor blockers (ARB), may increase bone density during post-menopausal estrogen decline. Our simulation results suggest that ARB treatment may be more effective at improving bone mineral density during postmenopausal estrogen decline, and that this trend remains consistent regardless of the age of RAS inhibitor initiation.

Indexed as

Angiotensin-Converting Enzyme InhibitorsBone RemodelingCalciumEstrogensModels, BiologicalRenin-Angiotensin SystemBone DensityComputer SimulationFemaleHomeostasisHumansAngiotensin-Converting Enzyme InhibitorsCalciumEstrogens

Identifiers

PMID42771692
PMCPMC13623139

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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.