Evidence map›Paper›PMID 36661308›Full record

ArticleAnnals of medicine2023

Profiling of differentially expressed circRNAs and functional prediction in peripheral blood mononuclear cells from patients with rheumatoid arthritis.

Li Xue, Biao Wang, Jianhong Zhu, Qian He, Fang Huang, Wei Wang, Li Tao, Yan Wang, Nan Xu, Ni Yang and 10 more

Abstract read
In one paragraph

Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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

  1. Pooled it
  2. Article
  3. Rheumatology and immunology research · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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

20 authors.

Li XueDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Biao WangDepartment of Immunology and Pathogenic Biology, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Jianhong ZhuDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Qian HeDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Fang HuangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wei WangDepartment of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Li TaoDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yan WangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Nan XuDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ni YangEmergency Department, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Li JinDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Hua ZhangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ning GaoDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ke LeiDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yanping ZhangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Chaoliang XiongDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jing LeiDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ting ZhangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yan GengDepartment of Clinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ming LiDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is a chronic autoimmune disease associated with an increased risk of death, but its underlying mechanisms are not fully understood. Circular RNAs (circRNAs) have recently been implicated in various biological processes. The aim of this study was to investigate the key circRNAs related to RA.

methodsA microarray assay was used to identify the differentially expressed circRNAs (DEcircRNAs) in peripheral blood mononuclear cells (PBMCs) from patients with RA compared to patients with osteoarthritis (OA) and healthy controls. Then, quantitative real-time PCR was applied to verify the DEcircRNAs, and correlations between the levels of DEcircRNAs and laboratory indices were analysed. We also performed extensive bioinformatic analyses including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genome (KEGG) pathway and potential circRNA-miRNA-mRNA network analyses to predict the function of these DEcircRNAs.

resultsA total of 35,342 and 6146 DEcircRNAs were detected in RA patients compared to controls and OA patients, respectively. Nine out of the DEcircRNAs in RA were validated by real-time PCR. There were correlations between the levels of DEcircRNAs and some of the laboratory indices. GO analyses revealed that these DEcircRNAs in RA were closely related to cellular protein metabolic processes, gene expression, the immune system, cell cycle, posttranslational protein modification and collagen formation. Functional annotation of host genes of these DEcircRNAs was implicated in several significantly enriched pathways, including metabolic pathways, ECM-receptor interaction, the PI3K-Akt signalling pathway, the AMPK signalling pathway, leukocyte transendothelial migration, platelet activation and the cAMP signalling pathway, which might be responsible for the pathophysiology of RA.

conclusionsThe findings of this study may help to elucidate the role of circRNAs in the specific mechanism underlying RA.Key messagesMicroarray assays showed that a total of 35,342 and 6146 DEcircRNAs were detected in RA patients compared to controls and OA patients, respectively.Nine out of the DEcircRNAs in RA were validated by real-time PCR, and the levels of the DEcircRNAs were related to some of the laboratory indices.GO analyses revealed that the DEcircRNAs in RA were closely related to cellular protein metabolic processes, gene expression, the immune system, etc.Functional annotation of host genes of the DEcircRNAs in RA was implicated in several significantly enriched pathways, including metabolic pathways, ECM-receptor interaction, the PI3K-Akt signalling pathway, etc.

Indexed as

Arthritis, RheumatoidMicroRNAsOsteoarthritisGene Expression ProfilingHumansLeukocytes, MononuclearPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, CircularMicroRNAsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, Circularcircular RNAsexpression profilemicroarrayperipheral blood mononuclear cellsRheumatoid arthritis

Identifiers

PMID36661308
PMCPMC9870011

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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.