Evidence map›Paper›PMID 30420896›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2018

Electroacupuncture Relieves Visceral Hypersensitivity by Inactivating Protease-Activated Receptor 2 in a Rat Model of Postinfectious Irritable Bowel Syndrome.

Wanli Xu, Mengqian Yuan, Xiaoliang Wu, Hao Geng, Lu Chen, Junling Zhou, Yafang Song, Lixia Pei, Jianhua Sun

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

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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

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

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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

9 authors at 1 institution in 1 country.

Wanli Xu *Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Jiangsu, China.
Mengqian Yuan *Jiangsu Province Hospital of Traditional Chinese Medicine, Jiangsu, China.
Xiaoliang WuJiangsu Province Hospital of Traditional Chinese Medicine, Jiangsu, China.
Hao GengJiangsu Province Hospital of Traditional Chinese Medicine, Jiangsu, China.
Lu ChenJiangsu Province Hospital of Traditional Chinese Medicine, Jiangsu, China.
Junling ZhouJiangsu Province Hospital of Traditional Chinese Medicine, Jiangsu, China.
Yafang SongJiangsu Province Hospital of Traditional Chinese Medicine, Jiangsu, China.
Lixia PeiJiangsu Province Hospital of Traditional Chinese Medicine, Jiangsu, China.ORCID 0000-0002-9221-5046
Jianhua SunJiangsu Province Hospital of Traditional Chinese Medicine, Jiangsu, China.ORCID 0000-0002-3398-0346
Jiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of protease-activated receptor 2 (PAR2) in the analgesic effect of electroacupuncture (EA) on visceral hypersensitivity (VH) in postinfectious irritable bowel syndrome (PI-IBS) has yet to be elucidated.

aimIn this study, we investigated the molecular mechanisms underlying the analgesic effect of EA in a rat model of PI-IBS.

methodsVisceral hypersensitivity was evaluated by the abdominal withdrawal reflex test before and after administration of the PAR2 agonist, PAR2-AP, and/or EA. The protein expression and mRNA levels of PAR2, CGRP, SP, and TPSP in colon tissues were measured by immunofluorescence, western blot, and RT-PCR.

resultsWe found that EA could alleviate VH and significantly decrease protein and mRNA levels of PAR2, TPSP, CGRP, and SP in PI-IBS rats. The analgesic effect of EA on VH was slightly reduced in the presence of PAR2-AP.

conclusionsThese results suggest that EA alleviates VH symptoms through downregulation of the levels of the TPSP/PAR2/SP/CGRP signaling axis in colon tissues in PI-IBS rats. Together, our data suggests that PAR2 plays a critical role in the analgesic effect of EA on VH in PI-IBS.

Identifiers

PMID30420896
PMCPMC6211213
OpenAlexW2896795035

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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.