Evidence map›Paper›PMID 37328740›Full record

ArticleBMC pulmonary medicine2023

Identification and bioinformatic analysis of CircRNAs in the plasma of patients with very severe chronic obstructive pulmonary disease.

Sihui Tang, Yichuan Ding, Zihan Zhou, Wanchun Yang

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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.

Sihui Tang *Department of Respiratory and Critical Care Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, Hefei, Anhui, 230011, China.
Yichuan Ding *Department of Respiratory and Critical Care Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, Hefei, Anhui, 230011, China.
Zihan ZhouDepartment of Respiratory and Critical Care Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, Hefei, Anhui, 230011, China.
Wanchun YangDepartment of Respiratory and Critical Care Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, Hefei, Anhui, 230011, China. 1225399339@qq.com.
Anhui Medical University · CNSecond Hospital of Anhui Medical University · CN

Funding

medical research projects in hefei No. Hwk2021yb010Natural Science Project of Bengbu Medical College No. 2020byzd286the Basic and Clinical Cooperative Research Promotion Program of Anhui Medical University No. 2021xkjT040the Ph.D. Special Funding Project in the Second People's Hospital of Hefei No. 2020bszx05the Youth Research Fund of The Second People's Hospital of Hefei No. 2021ynq02
6 · The paper itself

Abstract

backgroundThe differential expression of circular RNAs (circRNAs) in individuals with very severe chronic obstructive pulmonary disease (COPD) and healthy individuals was screened using microarray technology. The related functions and mechanisms were analyzed using bioinformatic methods to explore the potential of target circRNAs as biomarkers of COPD and provide insights for future pathogenesis. PATIENTS AND

methodsThirty patients with very severe COPD and thirty healthy controls were diagnosed at The Second People's Hospital of Hefei from September 2021 to September 2022. The differential expression of circRNAs was compared and analyzed using a gene microarray and verified using quantitative real-time polymerase chain reaction (qRT-PCR) technology.

resultsA total of 90 upregulated and 29 downregulated circRNAs were screened in patients with very severe COPD and compared with those in healthy controls. qRT-PCR analysis showed that hsa_circ_0062683 of patients with very severe COPD was significantly upregulated, and hsa_circ_0089763 and hsa_circ_0008882 were significantly downregulated. By constructing the circRNA-miRNA interaction network, it was found that hsa-miR-612, hsa-miR-593-5p, hsa-miR-765, and hsa-miR-103a-2-5p are the miRNAs regulated by more differentially expressed circRNAs (DEcircRNAs). DEcircRNAs may participate in the development of COPD through hypoxia or regulation of various immune cells.

conclusionPlasma circRNAs may play a helpful role in the diagnosis and assessment of COPD and be valuable disease biomarkers.

Indexed as

MicroRNAsPulmonary Disease, Chronic ObstructiveBiomarkersComputational BiologyHumansMicroarray AnalysisRNA, CircularBiomarkersMicroRNAsMIRN593 microRNA, humanMIRN765 microRNA, humanRNA, CircularChronic obstructive Pulmonary DiseaseCircRNACompeting endogenous RNAMicroarray

Identifiers

PMID37328740
PMCPMC10276386
OpenAlexW4380991717

What OpenQuestion holds

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LicenceCC BY
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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.