Evidence map›Paper›PMID 29884225›Full record

ArticleArthritis research & therapy2018

CircIBTK inhibits DNA demethylation and activation of AKT signaling pathway via miR-29b in peripheral blood mononuclear cells in systemic lupus erythematosus.

Xin Wang, Chengzhong Zhang, Zhouwei Wu, Yue Chen, Weimin Shi

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 6% 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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. [Role of circular RNAs in immune-related diseases].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
    Review
  20. 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

5 authors at 1 institution in 1 country.

Xin WangDepartment of Dermatology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Haining Road 100, Shanghai, 200080, China.
Chengzhong ZhangDepartment of Dermatology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Haining Road 100, Shanghai, 200080, China.
Zhouwei WuDepartment of Dermatology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Haining Road 100, Shanghai, 200080, China.
Yue ChenDepartment of Dermatology, Shanghai General Hospital of Nanjing Medical University, Haining Road 100, Shanghai, 200080, China.
Weimin ShiDepartment of Dermatology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Haining Road 100, Shanghai, 200080, China. weiminshisjtu@163.com.
Shanghai First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic lupus erythematosus (SLE) is a chronic and incurable autoimmune disease involving the dysfunction of lymphocytes. Circular RNAs (circRNAs) are noncoding RNAs (ncRNAs) with a covalently closed loop structure, with abnormal expression in various human diseases may participate in the pathogenesis, while further study is needed in SLE. In this study, we aimed to find the circRNAs abnormally expressed in SLE and explore the function of circRNAs in SLE.

methodsCircRNA sequencing was used to find the abnormally expressed circRNA and qRT-PCR was used to detect the expression. Correlation analysis was used to analyze the correlation between circIBTK or miR-29b and clinicopathological variables in patients with SLE. Cell culture, nuclear-cytoplasmic fractionation, qRT-PCR, transfection, luciferase reporter assay, western blot analysis, DNA extraction and global methylation analysis were used to explain the function of circIBTK and miR-29b in the progression of SLE. SPSS 18.0 software was used to perform statistics.

resultsWe found that the expression of circIBTK was downregulated in SLE and correlated with Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) score, anti-double-stranded (ds)DNA and complement C3 level in patients with SLE. Then miR-29b expression was upregulated in SLE and correlated with SLEDAI score, anti-dsDNA and complement C3 level in patients with SLE. Mechanistic investigations indicated that miR-29b could induce DNA demethylation and activate the AKT signaling pathway and circIBTK might reverse the DNA demethylation and activation of the AKT signaling pathway induced by miR-29b via binding to miR-29b in SLE.

conclusionsCircIBTK was downregulated in SLE and might regulate DNA demethylation and the AKT signaling pathway via binding to miR-29b in SLE. CircIBTK and miR-29 could also act as biomarkers and therapeutic targets for SLE.

Indexed as

DNA Demethylation3' Untranslated RegionsAdaptor Proteins, Signal TransducingAdultBase SequenceCarrier ProteinsFemaleGene Expression RegulationHumansIntracellular Signaling Peptides and ProteinsLeukocytes, MononuclearLupus Erythematosus, SystemicMaleMicroRNAsMiddle AgedProto-Oncogene Proteins c-akt3' Untranslated RegionsAdaptor Proteins, Signal TransducingCarrier ProteinsIBtk protein, humanIntracellular Signaling Peptides and ProteinsMicroRNAsMIRN29a microRNA, humanProto-Oncogene Proteins c-aktPTEN PhosphohydrolaseRNARNA, CircularAKT signalingCircular RNAsDNA methylationmiR-29bSystemic lupus erythematosus

Identifiers

PMID29884225
PMCPMC5993996
OpenAlexW2807371474

What OpenQuestion holds

Textmetadata
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.