Evidence map›Paper›PMID 41558612›Full record

ArticleJournal of neuroscience methods2026

Longitudinal multimodal assessment of neuropathy in a porcine neuritis model.

Ethan D Griswold, Matthew S Zabriskie, Lexie Scarpa, Eric Goold, Henrik Odeen, Lubdha M Shah, Viola Rieke

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ethan D GriswoldDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, United States of America; Department of Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT 84112, United States of America. Electronic address: Ethan.Griswold@utah.edu.
Matthew S ZabriskieDepartment of Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT 84112, United States of America. Electronic address: matthew.zabriskie@hsc.utah.edu.
Lexie ScarpaDepartment of Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT 84112, United States of America. Electronic address: u6050147@utah.edu.
Eric GooldDepartment of Pathology, University of Utah, Salt Lake City, UT 84112, United States of America. Electronic address: eric.goold@arkanalabs.com.
Henrik OdeenDepartment of Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT 84112, United States of America. Electronic address: henrik.odeen@hsc.utah.edu.
Lubdha M ShahDepartment of Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT 84112, United States of America. Electronic address: lubdha.shah@hsc.utah.edu.
Viola RiekeDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, United States of America; Department of Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT 84112, United States of America. Electronic address: Viola.Rieke@utah.edu.

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Focused Ultrasound Neuromodulation of Dorsal Root Ganglion for Noninvasive Mitigation of Low Back PainUH3AR076736 · NIAMS · UNIVERSITY OF UTAH · PI RIEKE, VIOLA, SHAH, LUBDHA · 2022 to 2024
$2.3M
Focused Ultrasound Neuromodulation of Dorsal Root Ganglion for Noninvasive Mitigation of Low Back PainUH2AR076736 · NIAMS · UNIVERSITY OF UTAH · PI RIEKE, VIOLA, SHAH, LUBDHA · 2019 to 2020
$990k
NCATS NIH HHS UM1 TR004409NIAMS NIH HHS UH2 AR076736NIAMS NIH HHS UH3 AR076736
6 · The paper itself

Abstract

backgroundEvaluation of animal models is critical in pre-clinical therapeutic research to determine translation potential. Due to their anatomic and physiological resemblance to humans, porcine models are a critical step prior to human translation. Our work evaluates long-term anatomic and behavioral effects (n = 9) over 8 weeks post-neuritis-induction surgery of the common peroneal nerve (CPN). NEW

methodThis model utilizes longitudinal MRI and histological analysis of nerve and muscle, in addition to the use of the algometer and feather test as quantitative sensory testing methods.

resultsNeuritis animals showed heightened rear leg sensitivity on the neuritis side, with significant reduction in maximum tolerated pressure in the majority of dermatomes and significant heightened sensitivity to light touch stimuli. Significant muscle loss was well defined with short- and long-term assessments. MR imaging showed increased signal intensity in CPN-innervated muscles alongside reduction in volume and hypotonia. Histology supports these conclusions as evidenced by the presence of atrophied fibers, fibrosis, and fatty infiltrations. At necropsy, there was an average of 50 % reduction in CPN-innervated muscle weights compared to control leg muscles. Pigs experienced postural and ambulatory abnormalities without inhibiting regular activity. COMPARISON WITH EXISTING METHOD(S): We expand on established protocols for assessing neuropathic pain (Castel et al., 2016; Hellman et al., 2021b), which assess short-term effects (10 days - 4 weeks) of a peripheral nerve injury.

conclusionWe have demonstrated and evaluated a longitudinal chronic neuropathic pain porcine model. Variables including medication regime and anatomic sequelae need to be considered as they may affect the quantitative sensory testing and time course of testing.

Indexed as

Disease Models, AnimalNeuritisPeroneal NerveAnimalsFemaleLongitudinal StudiesMagnetic Resonance ImagingMuscle, SkeletalPain MeasurementSwineAnimal modelsMRIMuscle atrophyNerve degenerationNeuritis injury modelNeurographyQuantitative sensory testing

Identifiers

PMID41558612
PMCPMC13446150

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Registered trials

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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.