Evidence map›Paper›PMID 35379246›Full record

ArticleBMC medical genomics2022

Expression profile of circRNA in peripheral blood mononuclear cells of patients with rheumatoid arthritis.

Huangxin Lu, Yifan Yang, Dong Kuang, Ping Liu, Junping Yang

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  9. Rheumatology and immunology research · 2025
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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

5 authors at 4 institutions in 1 country.

Huangxin Lu *Jiangxi University of Chinese Medicine, Nanchang, 330006, Jiangxi, People's Republic of China.
Yifan Yang *Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, People's Republic of China.
Dong KuangJiangxi University of Chinese Medicine, Nanchang, 330006, Jiangxi, People's Republic of China.
Ping LiuNanchang University, Nanchang, 330027, Jiangxi, People's Republic of China.
Junping YangAffiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, 330006, Jiangxi, People's Republic of China. 20086061@jxutcm.edu.cn.
Jiangxi University of Traditional Chinese Medicine · CNAffiliated Hospital of Jiangxi University of Traditional Chinese Medicine · CNNanchang University · CNShandong University of Traditional Chinese Medicine · CN

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

backgroundCircular RNAs (circRNAs) is a newly discovered non-coding RNA that can be used as biomarkers in clinical blood samples. This study aims to screen differentially expressed circular RNAs in PBMCs of patients with rheumatoid arthritis (RA) to determine new biomarkers for the diagnosis of RA.

methodsThe differentially expressed circRNAs in peripheral blood mononuclear cells (PBMCs) of 4 RA patients and 4 healthy participants were screened and analyzed by gene microarray technology. We then validated some of the differentially expressed circRNAs in PBMCs of 20 RA patients, 10 systemic lupus erythematosus (SLE) patients and 20 healthy participants using reverse transcription-quantitative polymerase chain reaction amplification (RT-qPCR). Spearman correlation test was performed to analyze the correlation between differentially expressed circRNAs and clinical variables in RA patients. Receiver operating characteristic (ROC) curves were calculated to evaluate the diagnostic value of circRNAs.

resultsDifferential analysis obtained 149 circRNAs with significant up-regulated expression and 250 circRNAs with significant down-regulated expression, which predicted the miRNA targets and binding sites. Compared with SLE and health control group, hsa_circ_101328 was found to be a common gene with differential expression of RA. Besides, correlation analysis revealed significant correlation between hsa_circ_101328 and positive CRP. ROC curve analysis showed that hsa_circ_101328 has the potential of RA diagnosis.

conclusionWe identified some dysregulated circRNAs in PBMCs from RA patients, and hsa_circ_101328 may be a novel and effective biomarker for early diagnosis of RA.

Indexed as

Arthritis, RheumatoidMicroRNAsHumansLeukocytes, MononuclearRNA, CircularROC CurveMicroRNAsRNA, CircularBiomarkerCircular RNAHsa_circRNA_101328Microarray chipsRheumatoid arthritis

Identifiers

PMID35379246
PMCPMC8981773
OpenAlexW4225513546

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Registered trials

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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.