Evidence map›Paper›PMID 39835462›Full record

ArticleAddiction biology2025

iTRAQ proteomic analysis of the anterior insula in morphine-induced conditioned place preference rats with high-frequency deep brain stimulation intervention.

Haigang Chang, Yaxiao Wang, Lei Hui, Yuling Diao, Pengju Ma, Xiangsheng Li, Feng Wang

Abstract read
In one paragraph

Article in Addiction biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Haigang ChangDepartment of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.ORCID 0009-0008-4127-0230
Yaxiao WangDepartment of Ultrasound, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Lei HuiDepartment of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Yuling DiaoDepartment of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Pengju MaDepartment of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Xiangsheng LiDepartment of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Feng WangDepartment of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

Henan Province Science and Technology Research and Development Program Project 242102310018Key Research and Development Program of Ningxia 2018BFG02007PhD Research Starting Grant of the first affiliated hospital of Xinxiang Medical University 11021
6 · The paper itself

Abstract

Morphine dependence or addiction is a serious global public health and social problem, and traditional treatments are very limited. Deep brain stimulation (DBS) has emerged as a new potential treatment for drug addiction. Repeated use of morphine leads to neuroadaptive and molecular changes in the addiction-related brain regions. We have previously performed isobaric tags for relative and absolute quantitation (iTRAQ) labelling coupled with 2D-LC MS/MS in anterior insular samples from rats treated with saline control, morphine or morphine plus DBS, and the identified expression of eight proteins are altered by morphine and reversed by high-frequency DBS (HF-DBS). In this study, we analysed the proteomic data in more details. A total of 5575 proteins were identified. Relative to the saline group, the morphine group showed 14 down-regulated and three up-regulated proteins. There were 118 proteins increased and 87 proteins decreased between DBS implanted animals and morphine group. Several differentially expressed proteins were verified with parallel reaction monitoring (PRM) assay. Based on Gene Ontology enrichment an KEGG pathway analyses, the majority of these differentially expressed proteins (DEPs) were involved in protein metabolic process, G-protein coupled receptor signalling pathway, calcium-mediated signalling, neurotransmitter transport, dopaminergic synapse and mTOR signalling pathway. These data offer a comprehensive understanding of the proteomic changes associated with morphine addiction and DBS therapy in addicted animal models, which is important for the development of DBS interventions for drug addiction.

Indexed as

Deep Brain StimulationInsular CortexMorphineMorphine DependenceNarcoticsAnalgesics, OpioidAnimalsMaleProteomicsRatsRats, Sprague-DawleyTandem Mass SpectrometryAnalgesics, OpioidMorphineNarcoticsanterior insuladeep brain stimulationiTRAQmorphine addictionproteomics

Identifiers

PMID39835462
PMCPMC11747870

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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.