Evidence map›Paper›PMID 38133396›Full record

ArticleToxics2023

Exploration of the Pathogenesis of Chronic Obstructive Pulmonary Disease Caused by Smoking-Based on Bioinformatics Analysis and In Vitro Experimental Evidence.

Yingchi Zhang, Yuxin Sheng, Yanrong Gao, Yujia Lin, Bin Cheng, Hongmei Li, Ling Zhang, Haiming Xu

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. miR-766-5p Attenuates Cigarette Smoke-Induced COPD by Targeting MAPK1.Journal of biochemical and molecular toxicology · 2026
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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

8 authors at 2 institutions in 1 country.

Yingchi ZhangSchool of Public Health, Ningxia Medical University, Yinchuan 750004, China.
Yuxin ShengSchool of Public Health, Ningxia Medical University, Yinchuan 750004, China.
Yanrong GaoSchool of Public Health, Ningxia Medical University, Yinchuan 750004, China.
Yujia LinSchool of Public Health, Ningxia Medical University, Yinchuan 750004, China.
Bin ChengSchool of Public Health, Ningxia Medical University, Yinchuan 750004, China.
Hongmei LiSchool of Public Health, Ningxia Medical University, Yinchuan 750004, China.
Ling ZhangSchool of Public Health, Ningxia Medical University, Yinchuan 750004, China.
Haiming XuSchool of Public Health, Ningxia Medical University, Yinchuan 750004, China.ORCID 0000-0001-9170-000X
Ningxia Medical University · CNXian Center for Disease Control and Prevention · CN

Funding

National Natural Science Foundation of China 81660527Ningxia Natural Science Foundation 2022AAC05027
6 · The paper itself

Abstract

This study was aimed at investigating the pathogenesis of chronic obstructive pulmonary disease (COPD) caused by smoking-based on bioinformatics analysis and in vitro experimental evidence. The GEO, GEO2R, TargetScan, miRDB, miRWalk, DAVID, and STRING databases were used for bioinformatics analysis. The mRNA expression and the protein levels were determined by real-time PCR and ELISA. After taking the intersection of the diversified results of the databases, four differentially expressed miRNAs (hsa-miR-146a, hsa-miR-708, hsa-miR-150, and hsa-miR-454) were screened out. Subsequently, a total of 57 target genes of the selected miRNAs were obtained. The results of DAVID analysis showed that the selected miRNAs participated in COPD pathogenesis through long-term potentiation, the TGF-β signaling pathway, the PI3K-Akt signaling pathway, etc. The results of STRING prediction showed that TP53, EP300, and MAPK1 were the key nodes of the PPI network. The results of the confirmatory experiment showed that, compared with the control group, the mRNA expression of

Indexed as

COPDGo analysisKEGG analysismiRNAprotein interaction networksmokingvalidation

Identifiers

PMID38133396
PMCPMC10747869
OpenAlexW4389437338

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.