Evidence map›Paper›PMID 37891516›Full record

ArticleBMC pulmonary medicine2023

Identification of potentially functional circRNAs and prediction of the circRNA-miRNA-hub gene network in mice with primary blast lung injury.

Qianying Lu, Junfeng Li, Yanmei Zhao, Jianfeng Zhang, Mingyu Shi, Sifan Yu, Yangfan Liang, Haojun Fan, Xiangyan Meng

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

9 authors at 2 institutions in 1 country.

Qianying Lu *Institute of Disaster and Emergency Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, 300072, China.
Junfeng Li *Institute of Disaster and Emergency Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, 300072, China.
Yanmei ZhaoInstitute of Disaster and Emergency Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, 300072, China.
Jianfeng ZhangInstitute of Disaster and Emergency Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, 300072, China.
Mingyu ShiInstitute of Disaster and Emergency Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, 300072, China.
Sifan YuInstitute of Disaster and Emergency Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, 300072, China.
Yangfan LiangInstitute of Disaster and Emergency Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, 300072, China.
Haojun FanInstitute of Disaster and Emergency Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, 300072, China.
Xiangyan MengInstitute of Disaster and Emergency Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin, 300072, China. mengxiangyan@tju.edu.cn.
Nankai University · CNWenzhou University · CN

Funding

National Natural Science Foundation of China 32000877Open Scientific Research Program of Military Logistics BLB19J006
6 · The paper itself

Abstract

objectivesPrimary blast lung injury (PBLI) is the main cause of death in blast injury patients, and is often ignored due to the absence of a specific diagnosis. Circular RNAs (circRNAs) are becoming recognized as new regulators of various diseases, but the role of circRNAs in PBLI remain largely unknown. This study aimed to investigate PBLI-related circRNAs and their probable roles as new regulators in PBLI in order to provide new ideas for PBLI diagnosis and treatment.

methodsThe differentially expressed (DE) circRNA and mRNA profiles were screened by transcriptome high-throughput sequencing and validated by quantitative real-time PCR (qRT-PCR). The GO and KEGG pathway enrichment was used to investigate the potential function of DE mRNAs. The interactions between proteins were analyzed using the STRING database and hub genes were identified using the MCODE plugin. Then, Cytoscape software was used to illustrate the circRNA-miRNA-hub gene network.

resultsA total of 117 circRNAs and 681 mRNAs were aberrantly expressed in PBLI, including 64 up-regulated and 53 down-regulated circRNAs, and 315 up-regulated and 366 down-regulated mRNAs. GO and KEGG analysis revealed that the DE mRNAs might be involved in the TNF signaling pathway and Fanconi anemia pathway. Hub genes, including Cenpf, Ndc80, Cdk1, Aurkb, Ttk, Aspm, Ccnb1, Kif11, Bub1 and Top2a, were obtained using the MCODE plugin. The network consist of 6 circRNAs (chr18:21008725-21020999 + , chr4:44893533-44895989 + , chr4:56899026-56910247-, chr5:123709382-123719528-, chr9:108528589-108544977 + and chr15:93452117-93465245 +), 7 miRNAs (mmu-miR-3058-5p, mmu-miR-3063-5p, mmu-miR-668-5p, mmu-miR-7038-3p, mmu-miR-761, mmu-miR-7673-5p and mmu-miR-9-5p) and 6 mRNAs (Aspm, Aurkb, Bub1, Cdk1, Cenpf and Top2a).

conclusionsThis study examined a circRNA-miRNA-hub gene regulatory network associated with PBLI and explored the potential functions of circRNAs in the network for the first time. Six circRNAs in the circRNA-miRNA-hub gene regulatory network, including chr18:21008725-21020999 + , chr4:44893533-44895989 + , chr4:56899026-56910247-, chr5:123709382-123719528-, chr9:108528589-108544977 + and chr15:93452117-93465245 + may play an essential role in PBLI.

Indexed as

Lung InjuryMicroRNAsAnimalsGene Regulatory NetworksHumansMiceNerve Tissue ProteinsRNA, CircularRNA, MessengermicroRNA761 microRNA, humanMicroRNAsNerve Tissue ProteinsRNA, CircularRNA, MessengerBlastcircRNA-miRNA-hub gene networkcircRNAsLungTherapy

Identifiers

PMID37891516
PMCPMC10612283
OpenAlexW4387996852

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.