Evidence map›Paper›PMID 31432107›Full record

ArticleInternational journal of molecular medicine2019

Identification of circular RNAs hsa_circ_0044235 and hsa_circ_0068367 as novel biomarkers for systemic lupus erythematosus.

Qing Luo, Lu Zhang, Xue Li, Biqi Fu, Yang Guo, Zikun Huang, Junming Li

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. The role of circular RNAs in autoimmune diseases: Potential diagnostic biomarkers and therapeutic targets.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Review
  5. Article
  6. Circular RNAs in Immune-Related Diseases.Advances in experimental medicine and biology · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Circulating TIGITHeliyon · 2024
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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

7 authors at 2 institutions in 1 country.

Qing LuoDepartment of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Lu ZhangMedical College of Nanchang University; 3Department of Rheumatology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Xue LiMedical College of Nanchang University; 3Department of Rheumatology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Biqi FuDepartment of Rheumatology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Yang GuoDepartment of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Zikun HuangDepartment of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Junming LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
First Affiliated Hospital of Nanchang University · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs) have emerged as novel biomarkers for disease diagnosis. However, the expression profiles and clinical significance of circRNAs in peripheral blood mononuclear cells (PBMCs) from systemic lupus erythematosus (SLE) remain unclear. In the present study, the expression profile of circRNAs in PBMCs from patients with SLE and healthy controls (HCs) was detected by using microarray analysis and verified by reverse transcription‑quantitative polymerase chain reaction. A total of 1,603 circRNAs were identified to be significantly aberrantly expressed in PBMCs from patients with SLE. Validation assays in 30 SLE patients and 20 HCs demonstrated that the levels of hsa_circ_0044235 and hsa_circ_0068367 were significantly decreased in the patients with SLE. Receiver operating characteristic curve analysis suggested that hsa_circ_0044235 and hsa_circ_0068367 were significant for SLE diagnosis. Furthermore, the diagnostic potential of hsa_circ_0044235 and hsa_circ_0068367 for SLE was validated in an independent validation set with 45 patients with SLE, 38 HCs and 30 patients with rheumatoid arthritis. In addition, the level of hsa_circ_0044235 in the PBMCs from patients with SLE were identified to be significantly increased in new‑onset SLE patients and in patients who were determined to be positive for anti‑double‑stranded DNA and anti‑ribosomal protein P antibodies. Additionally, the level of a microRNA (miRNA) target of hsa_circ_0044235, hsa‑miRNA‑892a, was identified to be significantly increased in the PBMCs from patients with SLE. The present study suggested that the dysregulation of circRNAs may serve a role in SLE pathogenesis, and that the levels of hsa_circ_0044235 and hsa_circ_0068367 in PBMC have potential as biomarkers for SLE diagnosis.

Indexed as

BiomarkersRNA, CircularAdolescentAdultComputational BiologyFemaleGene Expression ProfilingGene Expression RegulationHumansLeukocytes, MononuclearLupus Erythematosus, SystemicMaleMicroRNAsMiddle AgedPrognosisReal-Time Polymerase Chain ReactionBiomarkersMicroRNAsRNA, Circular

Identifiers

PMID31432107
PMCPMC6713423
OpenAlexW2965387337

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.