Evidence map›Paper›PMID 29636783›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2018

Xiaoqinglong Decoction Attenuates Chronic Obstructive Pulmonary Disease in Rats via Inhibition of Autophagy.

Huanan Wang, Bing Mao, Chang Chen

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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  8. Xiaoqinglong Decoction Protects the Lungs of AECOPD Mice through the AMPK/mTOR Signaling Pathway.Evidence-based complementary and alternative medicine : eCAM · 2020
    Article
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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

3 authors at 2 institutions in 1 country.

Huanan WangDepartment of Integrated Traditional Chinese and Western Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.ORCID 0000-0003-1019-2213
Bing MaoDepartment of Integrated Traditional Chinese and Western Medicine, West China Hospital of Sichuan University, Chengdu 610041, China.
Chang ChenInstitute of Life Sciences, Chongqing Medical University, Chongqing 400016, China.
Sichuan University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective treatment for chronic obstructive pulmonary disease (COPD) and knowledge of the underlying mechanism are urgently required. Xiaoqinglong decoction (XQL) is widely used to treat COPD in Traditional Chinese Medicine, but the mechanism remains unclear. In this study, we tested the hypothesis that XQL ameliorates COPD via inhibition of autophagy in lung tissue on a rat model. Rats were divided into five groups, namely, Control group, COPD group, COPD + XQL group, COPD + Rapamycin group, and COPD + XQL + Rapamycin group. Pathological changes on cellular and molecular levels, apoptosis reflected by TdT-mediated dUTP Nick-End Labeling (TUNEL) assay, and autophagy represented by LC3II/LC3I ratio and p62 level were investigated for each group. Compared with the Control group, COPD rats exhibited structural changes and activated inflammation in the lung tissue, together with enhanced apoptosis and elevated autophagy biomarkers. XQL treatment significantly ameliorated these changes, while rapamycin augmented them. These data altogether confirmed the involvement of autophagy in the pathogenesis of COPD and suggested that XQL attenuates COPD via inhibition of autophagy.

Identifiers

PMID29636783
PMCPMC5831972
OpenAlexW2786240037

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.