Evidence map›Paper›PMID 26859763›Full record

ArticlePloS one2016

Graded Maximal Exercise Testing to Assess Mouse Cardio-Metabolic Phenotypes.

Jennifer M Petrosino, Valerie J Heiss, Santosh K Maurya, Anuradha Kalyanasundaram, Muthu Periasamy, Richard A LaFountain, Jacob M Wilson, Orlando P Simonetti, Ouliana Ziouzenkova

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
17.4field-weighted citation impact, top 1% 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

68 citing papers in PubMed, 102 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 1 country.

Jennifer M PetrosinoDepartment of Human Sciences, The Ohio State University, College of Education & Human Ecology, Columbus, Ohio, United States of America.
Valerie J HeissDepartment of Human Sciences, The Ohio State University, College of Education & Human Ecology, Columbus, Ohio, United States of America.
Santosh K MauryaCardiovascular Pathobiology Program, Sanford Burnham Medical Research Institute at Lake Nona, Orland, Florida, United States of America.
Anuradha KalyanasundaramDepartment of Physiology and Cell Biology, The Ohio State University College of Medicine, Columbus, Ohio, United States of America.
Muthu PeriasamyCardiovascular Pathobiology Program, Sanford Burnham Medical Research Institute at Lake Nona, Orland, Florida, United States of America.
Richard A LaFountainDepartment of Human Sciences, The Ohio State University, College of Education & Human Ecology, Columbus, Ohio, United States of America.
Jacob M WilsonDepartment of Human Performance, The University of Tampa, Tampa, Florida, United States of America.
Orlando P SimonettiDepartment of Radiology, The Ohio State University, College of Medicine, Columbus, Ohio, United States of America.
Ouliana ZiouzenkovaDepartment of Human Sciences, The Ohio State University, College of Education & Human Ecology, Columbus, Ohio, United States of America.
The Ohio State University · USSanford Burnham Prebys Medical Discovery Institute · USUniversity of Tampa · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
University of Iowa Clinical and Translational Science Program (TL1)UL1RR025755 · NCRR · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2008 to 2011
$26.3M
The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
Integrative Training in Biomedical SystemsT32GM068412 · NIGMS · OHIO STATE UNIVERSITY · PI PARVIN, JEFFREY D · 2005 to 2020
$2.4M
Developing models for identification of therapeutic cell populationsR21OD017244 · OD · OHIO STATE UNIVERSITY · PI ZIOUZENKOVA, OULIANA ZIOUZENKOVA · 2014 to 2015
$419k
NCATS NIH HHS UL1 TR001070NCATS NIH HHS UL1TR001070NCI NIH HHS P30 CA016058NCI NIH HHS P30CA16058NCRR NIH HHS UL1 RR025755NCRR NIH HHS UL1RR025755NIGMS NIH HHS T32 GM068412NIH HHS R21 OD017244NIH HHS R21OD017244
6 · The paper itself

Abstract

Functional assessments of cardiovascular fitness (CVF) are needed to establish animal models of dysfunction, test the effects of novel therapeutics, and establish the cardio-metabolic phenotype of mice. In humans, the graded maximal exercise test (GXT) is a standardized diagnostic for assessing CVF and mortality risk. These tests, which consist of concurrent staged increases in running speed and inclination, provide diagnostic cardio-metabolic parameters, such as, VO2max, anaerobic threshold, and metabolic crossover. Unlike the human-GXT, published mouse treadmill tests have set, not staged, increases in inclination as speed progress until exhaustion (PXT). Additionally, they often lack multiple cardio-metabolic parameters. Here, we developed a mouse-GXT with the intent of improving mouse-exercise testing sensitivity and developing translatable parameters to assess CVF in healthy and dysfunctional mice. The mouse-GXT, like the human-GXT, incorporated staged increases in inclination, speed, and intensity; and, was designed by considering imitations of the PXT and differences between human and mouse physiology. The mouse-GXT and PXTs were both tested in healthy mice (C57BL/6J, FVBN/J) to determine their ability to identify cardio-metabolic parameters (anaerobic threshold, VO2max, metabolic crossover) observed in human-GXTs. Next, theses assays were tested on established diet-induced (obese-C57BL/6J) and genetic (cardiac isoform Casq2-/-) models of cardiovascular dysfunction. Results showed that both tests reported VO2max and provided reproducible data about performance. Only the mouse-GXT reproducibly identified anaerobic threshold, metabolic crossover, and detected impaired CVF in dysfunctional models. Our findings demonstrated that the mouse-GXT is a sensitive, non-invasive, and cost-effective method for assessing CVF in mice. This new test can be used as a functional assessment to determine the cardio-metabolic phenotype of various animal models or the effects of novel therapeutics.

Indexed as

PhenotypeAdolescentAdultAnimalsCardiovascular DiseasesExercise TestHeartHumansMaleMiceMice, Inbred C57BLMiddle AgedMyocardiumYoung Adult

Identifiers

PMID26859763
PMCPMC4747552
OpenAlexW2266075481

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.