Evidence map›Paper›PMID 38741612›Full record

ArticleJournal of inflammation research2024

Transcriptomic Insights into Different Stimulation Intensity of Electroacupuncture in Treating COPD in Rat Models.

Lu Liu, Zili Tang, Qian Zeng, Wenchuan Qi, Ziyang Zhou, Daohong Chen, Dingjun Cai, Ying Chen, Shiqi Sun, Siyao Gong and 3 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Aquaporins: a novel perspective in the treatment of lung diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Review
  8. Article
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

13 authors.

Lu Liu *Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.ORCID 0000-0001-5653-9345
Zili Tang *Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.
Qian Zeng *Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.
Wenchuan QiAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.
Ziyang ZhouAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.
Daohong ChenAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.
Dingjun CaiAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.
Ying ChenAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.
Shiqi SunAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.ORCID 0009-0008-3662-3927
Siyao GongAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.
Bin HeAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.
Shuguang YuAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.
Ling ZhaoAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu City, Sichuan Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electroacupuncture (EA), with varying stimulation intensities, has demonstrated therapeutic potentials in both animal and clinical studies for the treatment of chronic obstructive pulmonary disease (COPD). However, a comprehensive investigation of the intensity-related effects, particularly 1mA and 3mA of EA, and the underlying mechanisms remains lacking. Methods: A COPD rat model was established by prolonged exposure to cigarette smoke and intermittent intratracheal instillation of lipopolysaccharide. EA treatment was administered at acupoints BL13 (Feishu) and ST36 (Zusanli), 20 minutes daily for 2 weeks, with intensities of 1mA and 3mA. EA effectiveness was evaluated by pulmonary function, histopathological change, serum level of inflammatory cytokines, and level of oxidative stress markers in serum and lung tissues. Transcriptome profiling and weighted gene co-expression network analysis (WGCNA) were performed to reveal gene expression patterns and identify hub genes. Real-time quantitative PCR (RT-qPCR) and Western blot (WB) were performed to detect the mRNA and protein expression levels, respectively. Results: EA at both 1mA and 3mA exerted differing therapeutic effects by improving lung function and reducing inflammation and oxidative stress in COPD rats. Transcriptome analysis revealed distinct expression patterns between the two groups, functionally corresponding to shared and intensity-specific (1mA and 3mA) enriched pathways. Eight candidate genes were identified, including Conclusion: Our results demonstrated that 1mA and 3mA intensities induce distinct gene expression patterns at the transcriptional level, associated with shared and 1mA vs 3mA-specific enriched pathways. Genes

Indexed as

chronic obstructive pulmonary diseaseelectroacupunctureintensitytranscriptome profilingweighted gene co-expression network analysis

Identifiers

PMID38741612
PMCPMC11090121

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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.