Evidence map›Paper›PMID 36968761›Full record

ArticleJournal of pain research2023

Proteomic Analysis of the Spinal Dorsal Horn in Mice with Neuropathic Pain After Exercise.

Jie Bai, Jingyu Zhang, Li Zhou, Yufang Hua

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2023. 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
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

4 authors at 2 institutions in 1 country.

Jie BaiDepartment of Anesthesiology, Lanzhou University Second Hospital, Lanzhou, People's Republic of China.ORCID 0000-0003-2041-7754
Jingyu ZhangDepartment of Anesthesiology, Lanzhou University Second Hospital, Lanzhou, People's Republic of China.
Li ZhouDepartment of Pediatric Digestive, Gansu Provincial Maternity and Child-Care Hospital/Gansu Provincial Central Hospital, Lanzhou, People's Republic of China.
Yufang HuaDepartment of Anesthesiology, Lanzhou University Second Hospital, Lanzhou, People's Republic of China.
Lanzhou University Second Hospital · CNGansu Provincial Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Neuropathic pain (NP) is a chronic pain state with a complex etiology that currently lacks effective treatment in clinical practice. Studies have found that exercise training can alleviate NP hyperalgesia, but the specific mechanism remains unclear. Here, we sought to identify proteins and signaling pathways critical for mediating the effects of treadmill training on NP in a mouse model of spared nerve injury (SNI). Methods: We used Tandem Mass Tag (TMT) technology for proteins and signaling pathways identification. Functional enrichment analyses were conducted using DAVID and Metascape software. Ingenuity pathway analysis was used to conduct functional annotation and analyze alterations in canonical pathways and molecular networks. Reverse transcription quantitative PCR (RT-qPCR) was used to confirm the results of proteomics analysis. Results: A total of 270 differentially expressed proteins were screened in the detrained and trained groups ( Conclusion: Our results suggest that treadmill training may alleviate nociceptive hyperalgesia in NP mice by modulating the autophagic pathway, providing unique mechanistic insights into the analgesic effects of exercise.

Indexed as

exerciseIPAneuropathic painpassway analysisproteomic changes

Identifiers

PMID36968761
PMCPMC10032142
OpenAlexW4327815071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.