Evidence map›Paper›PMID 40195851›Full record

ReviewDisease models & mechanisms2025

Translating animal models of SARS-CoV-2 infection to vascular, neurological and gastrointestinal manifestations of COVID-19.

James Chung, Julia Pierce, Craig Franklin, Rachel M Olson, Alan R Morrison, James Amos-Landgraf

Abstract readReview
In one paragraph

Review in Disease models & mechanisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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

6 authors.

James ChungDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211, USA.ORCID 0009-0000-8690-3152
Julia PierceVascular Research Laboratory, Providence VA Medical Center, Providence, RI 02908, USA.ORCID 0000-0003-2755-5543
Craig FranklinDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-9198-867X
Rachel M OlsonDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-6973-4331
Alan R MorrisonVascular Research Laboratory, Providence VA Medical Center, Providence, RI 02908, USA.ORCID 0000-0002-2412-7669
James Amos-LandgrafDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0003-2535-7746

Funding

The Mutant Mouse Resource and Research Center at the University of Missouri - ResourceU42OD010918 · OD · UNIVERSITY OF MISSOURI-COLUMBIA · PI Bret Daniel Ulery · 2012 to 2026
$25.1M
Uncoupling of IL-1 beta and VEGF-A Crosstalk Contributes to Impaired Arteriogenesis Response to Ischemia in Chronic Diabetes MellitusP20GM103652 · NIGMS · OCEAN STATE RESEARCH INSTITUTE, INC. · PI HARRINGTON, ELIZABETH O · 2013 to 2022
$21.3M
Pilot Projects ProgramP30GM149398 · NIGMS · OCEAN STATE RESEARCH INSTITUTE, INC. · PI Peng Zhang · 2023 to 2026
$5.5M
Postdoctoral Training in Comparative MedicineT32OD011126 · OD · UNIVERSITY OF MISSOURI-COLUMBIA · PI Elizabeth C Bryda, Aaron Ericsson · 2012 to 2026
$3.4M
Combining Targeted Demethylation with Noncoding RNA-mediated mRNA Stabilization as a Strategy for Therapeutic Arteriogenesis in the AgedR01HL163005 · NHLBI · OCEAN STATE RESEARCH INSTITUTE, INC. · PI MORRISON, ALAN ROSS · 2022 to 2025
$2.3M
Development of Rac-Targeted Therapeutic Strategy for Treatment of Calcific AtherosclerosisR01HL139795 · NHLBI · OCEAN STATE RESEARCH INSTITUTE, INC. · PI MORRISON, ALAN ROSS · 2018 to 2022
$1.8M
BLRD VA IK2 BX002527CSRD VA I01 CX002231Institutes of Health (NIH) U42OD010918NHLBI NIH HHS R01 HL139795NHLBI NIH HHS R01 HL163005NIGMS NIH HHS P20 GM103652NIGMS NIH HHS P30 GM149398NIH HHS T32 OD011126NIH HHS U42 OD010918NIH Office of the Director T32OD011126U.S. Department of Veterans Affairs IK2BX002527
6 · The paper itself

Abstract

Since the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) initiated a global pandemic resulting in an estimated 775 million infections with over 7 million deaths, it has become evident that COVID-19 is not solely a pulmonary disease. Emerging evidence has shown that, in a subset of patients, certain symptoms - including chest pain, stroke, anosmia, dysgeusia, diarrhea and abdominal pain - all indicate a role of vascular, neurological and gastrointestinal (GI) pathology in the disease process. Many of these disease processes persist long after the acute disease has been resolved, resulting in 'long COVID' or post-acute sequelae of COVID-19 (PASC). The molecular mechanisms underlying the acute and systemic conditions associated with COVID-19 remain incompletely defined. Appropriate animal models provide a method of understanding underlying disease mechanisms at the system level through the study of disease progression, tissue pathology, immune system response to the pathogen and behavioral responses. However, very few studies have addressed PASC and whether existing models hold promise for studying this challenging problem. Here, we review the current literature on cardiovascular, neurological and GI pathobiology caused by COVID-19 in patients, along with established animal models of the acute disease manifestations and their prospects for use in PASC studies. Our aim is to provide guidance for the selection of appropriate models in order to recapitulate certain aspects of the disease to enhance the translatability of mechanistic studies.

Indexed as

COVID-19Disease Models, AnimalGastrointestinal DiseasesNervous System DiseasesSARS-CoV-2Translational Research, BiomedicalVascular DiseasesAnimalsGastrointestinal TractHumansAnimal modelsCardiovascular biologyCOVID-19GastroenterologyInfectious diseaseNeurology

Identifiers

PMID40195851
PMCPMC12010913

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.