Evidence map›Paper›PMID 34419106›Full record

ArticleJournal of translational medicine2021

Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus.

Wencong Song, Jie Qiu, Lianghong Yin, Xiaoping Hong, Weier Dai, Donge Tang, Dongzhou Liu, Yong Dai

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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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 5 institutions in 2 countries.

Wencong SongDepartment of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College, Jinan University (Shenzhen Peoples Hospital), Shenzhen, 518020, China.
Jie QiuSchool of Computer Science and Engineering, Yulin Normal University, Yulin, China.
Lianghong YinThe First Affiliated Hospital, Jinan University, Guangzhou, 510630, China.
Xiaoping HongDepartment of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College, Jinan University (Shenzhen Peoples Hospital), Shenzhen, 518020, China.
Weier DaiCollege of Natural Science, University of Texas at Austin, Austin, TX, 78712, USA.
Donge TangDepartment of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College, Jinan University (Shenzhen Peoples Hospital), Shenzhen, 518020, China. donge66@126.com.
Dongzhou LiuDepartment of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College, Jinan University (Shenzhen Peoples Hospital), Shenzhen, 518020, China. liu_dz2001@sina.com.
Yong DaiDepartment of Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College, Jinan University (Shenzhen Peoples Hospital), Shenzhen, 518020, China. daiyong22@aliyun.com.ORCID 0000-0002-6840-9158
Jinan University · CN181st Hospital of Chinese People's Liberation Army · CNFirst Affiliated Hospital of Jinan University · CNThe University of Texas at Austin · USYulin Normal University · CN

Funding

Sanming Project of Medicine in Shenzhen SYJY201704, SYJY201705Science and Technology Planning Project of Shenzhen Municipality JCYJ20190807145815129Science and Technology Planning Project of Shenzhen Municipality JCYJ20200109144218597Shenzhen Key Medical Discipline Construction Fund SZXK011The Key Research and Development Program of Guangdong Province No. 2019B020229001Young Scientists Fund No32000641
6 · The paper itself

Abstract

backgroundSystemic lupus erythematosus (SLE) is an autoimmune disease with a complicated pathogenesis, and its aetiology has not been clearly unveiled. The lack of effective diagnosis and treatment methods makes it necessary to explore the molecular mechanism of SLE. We aimed to identify some critical signalling pathways and key competing endogenous RNAs (ceRNAs) underlying the molecular mechanism of SLE and to map out the systematic signalling networks by integrating the data on different kinds of RNAs.

methodsPeripheral blood mononuclear cells (PBMCs) were collected from both SLE patients and healthy subjects, RNA was extracted from the PBMCs, and RNA libraries including ribosomal RNA-depleted strand-specific libraries and small RNA libraries were built for deep RNA sequencing (RNA-seq). RNA-seq yielded differential expression profiles of lncRNAs/circRNAs/miRNAs/mRNAs related to SLE. The DAVID database (v. 6.8) was employed for Gene Ontology (GO) and KEGG pathway analysis. ceRNA networks (circRNA/lncRNA-miRNA-mRNA) were constructed and visualized using Cytoscape software (v. 3.5.0). The TargetScan and miRanda databases were used to predict target relationships in ceRNA networks. qRT-PCR was used to verify our data.

resultsDifferential expression of ceRNAs related to SLE was detected in SLE patients' PBMCs: 644 mRNAs (384 upregulated, 260 downregulated), 326 miRNAs (223 upregulated, 103 downregulated), 221 lncRNAs (79 upregulated, 142 downregulated), and 31 circRNAs (21 upregulated, 10 downregulated). We drew ceRNA signalling networks made up of the differentially expressed mRNAs/miRNAs/lncRNAs/circRNAs mentioned above, and the hub genes included IRF5, IFNAR2, TLR7, IRAK4, STAT1, STAT2, C2, and Tyk2. These hub genes were involved in ceRNA signalling pathways, such as the IL-17 signalling pathway and type I interferon signalling pathway.

conclusionsWe explored the differential expression profiles of various kinds of ceRNAs and integrated signalling networks constructed by ceRNAs. Our findings offer new insights into the pathogenesis of SLE and hint at therapeutic strategies.

Indexed as

Lupus Erythematosus, SystemicMicroRNAsRNA, Long NoncodingGene OntologyGene Regulatory NetworksHumansInterferon Regulatory FactorsLeukocytes, MononuclearRNA, MessengerInterferon Regulatory FactorsIRF5 protein, humanMicroRNAsRNA, Long NoncodingRNA, MessengerceRNAsIntegrative analysisRNA sequencingSLE

Identifiers

PMID34419106
PMCPMC8380341
OpenAlexW3195053008

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.