Evidence map›Paper›PMID 31781981›Full record

ArticleInflammopharmacology2020

Analysis of lncRNA expression profiles by sequencing reveals that lnc-AL928768.3 and lnc-AC091493.1 are novel biomarkers for disease risk and activity of rheumatoid arthritis.

Li Sun, Jianxin Tu, Cailong Liu, Axiao Pan, Xiaoru Xia, Xiaowei Chen

Abstract read
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In one paragraph

Article in Inflammopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

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

  1. Pooled it
  2. Frontier research on mechanisms of bone destruction in rheumatoid arthritis.Frontiers in cell and developmental biology · 2026
    Review
  3. The Challenges of Local Intra-Articular Therapy.Medicina (Kaunas, Lithuania) · 2024
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  12. Knockdown ofAnnals of translational medicine · 2022
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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

6 authors at 1 institution in 1 country.

Li SunDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang, Ouhai District, Wenzhou, 325000, China.
Jianxin TuDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang, Ouhai District, Wenzhou, 325000, China.
Cailong LiuDepartment of Orthopaedic Sports Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Axiao PanDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang, Ouhai District, Wenzhou, 325000, China.
Xiaoru XiaDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang, Ouhai District, Wenzhou, 325000, China. xxr7799@163.com.
Xiaowei ChenDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang, Ouhai District, Wenzhou, 325000, China. chenxiaoweirj@sina.com.ORCID http://orcid.org/0000-0003-1934-0323
Wenzhou Medical University · CN

Funding

Medical Science Research Foundation of Zhejiang Province, China No.2020374759Science and Technology Action Plan for Major Disease Control - Trauma Repair Special Project, National Health and Family Planning Commission Medical Science and Technology Development Research Center ZX-01-C2016029Science and Technology Project of Wenzhou Y20170056Science and Technology Project of Wenzhou Y20170060
6 · The paper itself

Abstract

backgroundThis study aimed to analyze long non-coding RNA (lncRNA) expression profiles in synovium tissue of patients with RA using RNA sequencing, and to further assess the clinical values of dysregulated lncRNAs in RA diagnosis and monitoring.

methodsThirty patients with RA who underwent knee arthroscopy and 30 controls with knee trauma who underwent surgery were consecutively enrolled and synovium tissue samples of both groups were obtained during surgery. In the exploration stage, lncRNA and mRNA expression profiles in three RA samples and three control samples were detected by RNA sequencing and bioinformatic analyses were then performed. In the validation stage, quantitative polymerase chain reaction (qPCR) was subsequently used to detect expression of five candidate lncRNAs in 30 patients with RA and 30 control patients.

resultsA total of 349 lncRNAs and 1582 mRNAs were upregulated and 806 lncRNAs and 1295 mRNAs were downregulated in patients with RA compared with controls. Enrichment analyses revealed that these dysregulated lncRNAs and mRNAs were mainly involved in regulating immune response, leukocyte migration, complement activation, and B cell receptor signaling pathway. Subsequent qPCR validation discovered that lnc-AL928768.3 (P < 0.001) and lnc-AC091493.1 (P < 0.001) were elevated in patients with RA compared with controls and afford good predictive values for RA risk by receiver operating characteristic (ROC) curve analysis. Additionally, the two lncRNAs were positively associated with C-reactive protein level and disease activity score in 28 joints (ESR) (all P < 0.05).

conclusionAnalysis of lncRNA expression profiles by sequencing reveals that lnc-AL928768.3 and lnc-AC091493.1 are novel biomarkers for RA risk and activity.

Indexed as

AdultAgedArthritis, RheumatoidArthroscopyBiomarkersCase-Control StudiesC-Reactive ProteinFemaleHumansMaleMiddle AgedRNA, Long NoncodingSequence Analysis, RNASeverity of Illness IndexBiomarkersC-Reactive ProteinRNA, Long NoncodingExpression profilesLong non-coding RNARheumatoid arthritisRNA sequencingSynovium tissue

Identifiers

PMID31781981
OpenAlexW2989645423

What OpenQuestion holds

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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.