Evidence map›Paper›PMID 37650285›Full record

ArticleBioscience reports2023

Identification of circRNA-associated ceRNA networks in peripheral blood mononuclear cells as potential biomarkers for chronic obstructive pulmonary disease.

Shan Zhong, Chengshui Chen, Li Yang, Meiling Jin, Yiming Zeng, Gang-Ming Zou, Qingying Zhang, Yun Wang

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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 6 institutions in 2 countries.

Shan ZhongCollege of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong 518055, PR China.
Chengshui ChenDepartment of Respiratory Medicine, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, PR China.
Li YangDepartment of Respiratory Medicine, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, PR China.
Meiling JinDepartment of Respiratory Medicine, Zhongshan Affiliated Hospital of Fudan University, Shanghai 200030, PR China.
Yiming ZengDepartment of Respiratory Medicine, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, PR China.
Gang-Ming ZouSchool of Nursing and Dental Health. University of Hawaii at Manoa, 2528 McCarthy Mall, Webster Hall. Honolulu, HI 96822, USA.
Qingying ZhangDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong 515041, PR China.
Yun WangCollege of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong 518055, PR China.ORCID 0000-0002-6086-8181
Shenzhen University · CNWenzhou Medical University · CNFudan University · CNFujian Medical University · CNShantou University · CNUniversity of Hawaiʻi at Mānoa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD), which is a common respiratory disorder with high morbidity and mortality globally, has a complex pathogenesis that is not fully understood. Some circular RNAs (circRNAs) have been recognized to serve as miRNA sponges for regulating target RNA transcripts during the processes of human diseases. In the present study, we aimed to investigate novel circRNA-associated biomarkers for COPD, 245 differentially expressed circRNAs were identified, including 111 up-regulated and 134 down-regulated circRNAs. These candidate circRNAs were enriched in inflammation-associated pathways (such as mTOR, B-cell receptor, and NF-κB signaling pathways) via Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. A combination of two circRNAs (up-regulated hsa_circ_0067209 and down-regulated hsa_circ_0000673) demonstrated good diagnostic value (area under the receiver operating characteristic curve [AUC] = 0.866) for COPD by receiver operating characteristic curve (ROC) analysis and qRT-PCR validation. Subsequently, hsa-miR-8082 and hsa-miR-1248 were identified as targets for hsa_circ_0067209 and hsa_circ_0000673, respectively, via bioinformatics analysis and a dual-luciferase reporter assay, and the combination of these two miRNAs displayed better diagnosis potential for COPD (AUC = 0.967) than each other. Evaluation of COPD-related mRNA profiles revealed that the up-regulated genes ABR and TRPM6 were predicted downstream targets for hsa_circ_0067209/hsa-miR-8082, whereas the down-regulated gene RORC was a predicted downstream target for hsa_circ_0000673/hsa-miR-1248. In summary, hsa_circ_0067209 and hsa_circ_0000673 have potential as novel diagnostic biomarkers of COPD. In addition, competing endogenous RNA networks of hsa_circ_0067209/hsa-miR-8082/ABR/TRPM6 and hsa_circ_0000673/hsa-miR-1248/RORC may play critical regulation roles for COPD pathogenesis.

Indexed as

MicroRNAsPulmonary Disease, Chronic ObstructiveBiomarkersHumansLeukocytes, MononuclearRNA, CircularBiomarkersMicroRNAsRNA, CircularbiomarkersceRNAcircRNAsCOPDpathogenesis

Identifiers

PMID37650285
PMCPMC10619198
OpenAlexW4386305980

What OpenQuestion holds

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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.