Evidence map›Paper›PMID 35128207›Full record

ArticleJACC. Basic to translational science2022

Dynamic Multiscale Regulation of Perfusion Recovery in Experimental Peripheral Arterial Disease: A Mechanistic Computational Model.

Chen Zhao, Joshua L Heuslein, Yu Zhang, Brian H Annex, Aleksander S Popel

Open access · goldAbstract read
In one paragraph

Article in JACC. Basic to translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

16 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  3. The molecular mechanisms and therapeutic implications of PANoptosis in ischemic diseases.Apoptosis : an international journal on programmed cell death · 2025
    Review
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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

5 authors at 4 institutions in 2 countries.

Chen ZhaoSchool of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu, China.
Joshua L HeusleinRobert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, Virginia, USA.
Yu ZhangDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Brian H AnnexRobert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, Virginia, USA.
Aleksander S PopelDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins Medicine · USAugusta University · USNanjing Medical University · CNUniversity of Virginia · US

Funding

Clinical Phenotyping and Disease Specific Sampling to Identify Non-coding RNAs for Human Therapeutics in PADR01HL150003 · NHLBI · AUGUSTA UNIVERSITY · PI ANNEX, BRIAN H, MCCLUNG, JOSEPH MATTHEW · 2020 to 2023
$3.0M
Precision Medicine for Therapeutic Angiogenesis in Peripheral Arterial Disease: Targeting of the IL21R PathwayR01HL148590 · NHLBI · AUGUSTA UNIVERSITY · PI ANNEX, BRIAN H · 2019 to 2022
$2.9M
NHLBI NIH HHS R01 HL148590NHLBI NIH HHS R01 HL150003
6 · The paper itself

Abstract

In peripheral arterial disease (PAD), the degree of endogenous capacity to modulate revascularization of limb muscle is central to the management of leg ischemia. To characterize the multiscale and multicellular nature of revascularization in PAD, we have developed the first computational systems biology model that mechanistically incorporates intracellular, cellular, and tissue-level features critical for the dynamic reconstitution of perfusion after occlusion-induced ischemia. The computational model was specifically formulated for a preclinical animal model of PAD (mouse hindlimb ischemia [HLI]), and it has gone through multilevel model calibration and validation against a comprehensive set of experimental data so that it accurately captures the complex cellular signaling, cell-cell communication, and function during post-HLI perfusion recovery. As an example, our model simulations generated a highly detailed description of the time-dependent spectrum-like macrophage phenotypes in HLI, and through model sensitivity analysis we identified key cellular processes with potential therapeutic significance in the pathophysiology of PAD. Furthermore, we computationally evaluated the in vivo effects of different targeted interventions on post-HLI tissue perfusion recovery in a model-based, data-driven, virtual mouse population and experimentally confirmed the therapeutic effect of a novel model-predicted intervention in real HLI mice. This novel multiscale model opens up a new avenue to use integrative systems biology modeling to facilitate translational research in PAD.

Indexed as

ARG1, arginase-1EC, endothelial cellhindlimb ischemiaHLI, hindlimb ischemiaHMGB1, high-mobility group box 1HUVEC, human umbilical vein endothelial callIFN, interferonIL, interleukinmacrophage polarizationmathematical modelingMLKL, mixed lineage kinase domain-like proteinnecrosis/necroptosisPAD, peripheral arterial diseaseperfusion recoveryperipheral arterial diseaseRT-PCR, reverse transcriptase polymerase chain reactionsystems biologyTLR4, Toll-like receptor 4TNF, tumor necrosis factorVEGF, vascular endothelial growth factorvirtual mouse populationVMP, virtual mouse population

Identifiers

PMID35128207
PMCPMC8807862
OpenAlexW4206007119

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.