Evidence map›Paper›PMID 32705182›Full record

ArticleMolecular medicine reports2020

Expression profiling of circular RNAs and their potential role in early‑stage diabetic cardiomyopathy.

Shengzhong Dong, Chunyan Tu, Xing Ye, Liliang Li, Mingchang Zhang, Aimin Xue, Shangheng Chen, Ziqin Zhao, Bin Cong, Junyi Lin and 1 more

Abstract read
In one paragraph

Article in Molecular medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. The Internal Ribosome Entry Site in Circular RNAs.Advances in experimental medicine and biology · 2025
    Review
  5. Review
  6. Article
  7. CircRNA-mediated regulation of cardiovascular disease.Frontiers in cardiovascular medicine · 2024
    Review
  8. Expression Profiles and Bioinformatic Analysis of Circular RNAs in Db/Db Mice with Cardiac Fibrosis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. 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

11 authors.

Shengzhong DongDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Chunyan TuDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Xing YeDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Liliang LiDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Mingchang ZhangDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Aimin XueDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Shangheng ChenDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Ziqin ZhaoDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Bin CongDepartment of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Shijiazhuang, Hebei 050017, P.R. China.
Junyi LinDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.
Yiwen ShenDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic cardiomyopathy (DCM) is a severe cardiovascular complication of diabetes mellitus (DM). Detecting DCM during the early stages of the disease remains a challenge, as the molecular mechanisms underlying early‑stage DCM are not clearly understood. Circular RNA (circRNA), a type of non‑coding RNA, has been confirmed to be associated with numerous diseases. However, it is still unclear how circRNAs are involved in early‑stage DCM. In the present study, heart tissues harvested from BKS‑db/db knock‑out mice were identified through high‑throughput RNA sequencing technology. A total of 58 significantly differentially expressed circRNAs were identified in the db/db sample. Among these, six upregulated circRNAs and seven downregulated circRNAs were detected by reverse transcription‑quantitative PCR and analyzed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Furthermore, based on the predicted binding site with microRNAs (miRNAs) involved in DCM, five circRNAs (mmu_circ_0000652, mmu_circ_0000547, mmu_circ_0001058, mmu_circ_0000680 and novel_circ_0004285) were shown to serve as competing endogenous (ce)RNAs. The corresponding miRNAs and mRNAs of the ceRNAs were also verified, and two promising circRNA‑miRNA‑mRNA regulatory networks were determined. Finally, internal ribosome entry site prediction combined with open reading frame prediction indicated that it was highly possible that mmu_circ_0001160 encoded a protein. In the present study, a comprehensive analysis of the circRNA expression profile during the early phase of DCM was performed, and two promising circRNA‑miRNA‑mRNA regulatory networks were identified. These results lay the foundation for unravelling the underlying pathogenesis of DCM, and highlight potential biomarkers and therapeutic targets for the treatment of DCM at an early stage.

Indexed as

Gene Regulatory NetworksAnimalsDiabetic CardiomyopathiesGene Expression ProfilingInternal Ribosome Entry SitesMaleMiceMicroRNAsOpen Reading FramesRNA, CircularSequence Analysis, RNAUp-RegulationInternal Ribosome Entry SitesMicroRNAsRNA, Circularcircular rnacompeting endogenous rnasearly-stage diabetic cardiomyopathyhigh-throughput rna sequencing technologyknock-out micepathogenesis

Identifiers

PMID32705182
PMCPMC7411360

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.