Transcriptome Analysis of Trigeminal Ganglion and Medullary Dorsal Horn in Mice to Identify Potential Targets for Pulpitis-Induced Pain

Pulpitis is a common oral disease associated with severe pain, which is often accompanied by sleep disturbances and anxiety-like symptoms. There is currently no specific analgesic medication available to alleviate pulpitis-induced pain. In the current study, we applied transcriptomics to conduct a bioinformatics screening of the trigeminal ganglion (TG) and the medullary dorsal horn (MDH) over a 7-day period of pulp exposure, aiming to identify key differentially expressed genes (DEGs). We identified three key DEGs in the TG and three in the MDH, which are primarily involved in pathways related to immune responses, inflammatory responses, and neuroactive ligand-receptor interactions. Potential drug candidates were pinpointed through virtual screening of key DEGs, followed by molecular docking and molecular dynamics analysis. Notably, <i>Oprm1</i>, which encodes the mu-opioid receptor, exhibited significant expression differences in both the TG and MDH. Further virtual screening and molecular dynamics analysis identified C13H10Cl3N7O3S2 as the most promising lead compound, suggesting that it may be an effective drug molecule targeting <i>Oprm1</i>, thus laying the foundation for subsequent experimental validation. This finding offers a new strategy for pain management targeting <i>Oprm1</i> and opens up a pathway for the development of novel therapeutic drugs.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2025-03-14
DOI
https://doi.org/10.1021/acsomega.4c11486
Citations
1
Primary Topic
Hereditary Neurological Disorders
Type
article
Field-Weighted Citation Impact
0.91

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptome Analysis of Trigeminal Ganglion and Medullary Dorsal Horn in Mice to Identify Potential Targets for Pulpitis-Induced Pain

Jialin Si, Li‐An Wu, R. G. Ping, Yan Xia et al.
1 citations
ACS Omega
Hereditary Neurological Disorders
0.91
article

Transcriptome Analysis of Trigeminal Ganglion and Medullary Dorsal Horn in Mice to Identify Potential Targets for Pulpitis-Induced Pain

Jialin Si, Li‐An Wu, R. G. Ping, Yan Xia, Xiaoning Kang, Jing Huang, Xiaoke Wu, Zhuo Yu
article en
1 citations

Abstract

Pulpitis is a common oral disease associated with severe pain, which is often accompanied by sleep disturbances and anxiety-like symptoms. There is currently no specific analgesic medication available to alleviate pulpitis-induced pain. In the current study, we applied transcriptomics to conduct a bioinformatics screening of the trigeminal ganglion (TG) and the medullary dorsal horn (MDH) over a 7-day period of pulp exposure, aiming to identify key differentially expressed genes (DEGs). We identified three key DEGs in the TG and three in the MDH, which are primarily involved in pathways related to immune responses, inflammatory responses, and neuroactive ligand-receptor interactions. Potential drug candidates were pinpointed through virtual screening of key DEGs, followed by molecular docking and molecular dynamics analysis. Notably, <i>Oprm1</i>, which encodes the mu-opioid receptor, exhibited significant expression differences in both the TG and MDH. Further virtual screening and molecular dynamics analysis identified C13H10Cl3N7O3S2 as the most promising lead compound, suggesting that it may be an effective drug molecule targeting <i>Oprm1</i>, thus laying the foundation for subsequent experimental validation. This finding offers a new strategy for pain management targeting <i>Oprm1</i> and opens up a pathway for the development of novel therapeutic drugs.

ACS OmegaVol. 10(11)
National Clinical Research (US), Air Force Medical University (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 30%
Hereditary Neurological Disorders
0.91
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.