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Molecular Signatures of Maladaptive Plasticity in the Amygdala in a Rat Model of Chronic Neuropathic Pain.

Overview

Authors: Peyton Presto1, Julian Cardenas1, Christian Bustamante1, Brent R Kisby1,2, Guangchen Ji1,2, Olga Ponomareva1, Volker Neugebauer1,2,3, Igor Ponomarev1,2
  1. Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, 3601 4th Street, Lubbock, TX 79430, USA; (P.P.); (B.R.K.)
  2. Center of Excellence for Translational Neuroscience and Therapeutics, Texas Tech University Health Sciences Center, 3601 4th Street, Lubbock, TX 79430, USA
  3. Garrison Institute on Aging, Texas Tech University Health Sciences Center, 3601 4th Street, Lubbock, TX 79430, USA
Institutions: Texas Tech University (United States); Texas Tech University Health Sciences Center (United States)
Journal: Cells, volume 15, issue 9, article 775
Dates: received 21 February 2026; accepted 22 April 2026; published online 25 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3390/cells15090775 · PMID 42121876 · PMCID PMC13163077 · OpenAlex W7159831154
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), rat (organism), pain (population), cellular / molecular (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing, Connectivity
Keywords: pain, amygdala, transcriptomics, bioinformatics, neuroimmune, myelination, neuroplasticity
MeSH: Amygdala*, Chronic Pain*, Neuralgia*, Neuronal Plasticity*, Animals, Disease Models, Animal, Male, Rats, Rats, Sprague-Dawley, Spinal Nerves, Transcriptome (* major topic)
Topic: Pain Mechanisms and Treatments (Physiology, Medicine), according to OpenAlex
Funding: NIAAA NIH HHS (R01 AA027096); NINDS NIH HHS (R01 NS038261)
Citations: cited by 1 paper (Europe PMC); 60 references in the paper

Abstract

Chronic pain, a complex multidimensional disorder, remains a major healthcare issue and a therapeutic challenge. Neuropathic pain is a chronic pain condition that results from damage or dysfunction in the nervous system. While mechanisms of neuropathic pain at the peripheral and spinal cord level have been extensively studied, pain mechanisms in the brain remain underexplored. The amygdala, a limbic brain region, has emerged as a critical brain area for the emotional–affective dimension of pain and pain modulation. Amygdala neuroplasticity has been associated with pain states, but the exact molecular and cellular mechanisms underlying these states and the transition from acute to chronic pain are not well understood. Here, we used the spinal nerve ligation (SNL) model of neuropathic pain in male rats to investigate changes in gene expression in the amygdala at the chronic pain stage using RNA sequencing (RNA-Seq). Two amygdala nuclei, the basolateral (BLA) and central (CeA), were investigated in a hemisphere-dependent manner. We used an integrative approach that focuses on functional significance and cell-type specificity of differentially expressed genes (DEGs) to nominate mechanistic targets for central regulation of chronic pain. Our integrative transcriptomic and bioinformatic analyses identified individual genes (e.g., Cxcl10, Cxcl12, Mbp, Plp1, Mag, Mog, Slc17a6, Gad1, and Sst), molecular pathways (e.g., cytokine-mediated signaling pathway), biological processes (e.g., myelination, synaptic transmission), and specific cell types (e.g., oligodendrocytes, glutamatergic, and GABAergic neurons) affected by chronic pain. Our results also provide some evidence for the emerging concept of hemispheric lateralization of pain processing in the amygdala. Overall, our study proposes oligodendrocyte dysfunction in the amygdala, neuroimmune signaling in the CeA, and glutamatergic neurotransmission in the BLA as key processes and potential therapeutic targets for the management of chronic neuropathic pain.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

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Data

Datasets cited

Data Availability Statement

The datasets generated during and/or analyzed during the current study were uploaded to GEO with a delayed release date (GSE325961 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE325961)).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 7 keywords, 11 MeSH terms, 2 funders, 60 references.

Cite

This paper

Presto, P., Cardenas, J., Bustamante, C., Kisby, B. R., Ji, G., Ponomareva, O., Neugebauer, V., & Ponomarev, I. (2026). Molecular Signatures of Maladaptive Plasticity in the Amygdala in a Rat Model of Chronic Neuropathic Pain. Cells, 15(9), 775. https://doi.org/10.3390/cells15090775

BibTeX

@article{presto2026molecular,
author = {Presto, Peyton and Cardenas, Julian and Bustamante, Christian and Kisby, Brent R and Ji, Guangchen and Ponomareva, Olga and Neugebauer, Volker and Ponomarev, Igor},
title = {{Molecular Signatures of Maladaptive Plasticity in the Amygdala in a Rat Model of Chronic Neuropathic Pain}},
journal = {Cells},
year = {2026},
month = apr,
volume = {15},
number = {9},
pages = {775},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
issn = {2073-4409},
doi = {10.3390/cells15090775},
url = {https://doi.org/10.3390/cells15090775},
pmid = {42121876},
pmcid = {PMC13163077}
}

RIS

TY - JOUR
AU - Presto, Peyton
AU - Cardenas, Julian
AU - Bustamante, Christian
AU - Kisby, Brent R
AU - Ji, Guangchen
AU - Ponomareva, Olga
AU - Neugebauer, Volker
AU - Ponomarev, Igor
TI - Molecular Signatures of Maladaptive Plasticity in the Amygdala in a Rat Model of Chronic Neuropathic Pain
T2 - Cells
J2 - Cells
PY - 2026
DA - 2026/04/25
VL - 15
IS - 9
SP - 775
SN - 2073-4409
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/cells15090775
UR - https://doi.org/10.3390/cells15090775
LA - en
ER -

CSL-JSON

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