Evidence map›Paper›PMID 32133566›Full record

ArticleClinical rheumatology2020

Differentially expressed lncRNAs in peripheral blood mononuclear cells from middle-aged female patients with rheumatoid arthritis-associated interstitial lung disease.

Wei Zhou, Juan Zheng, Min Yuan, Lindong Yuan, Xiaodong Jia, Huaxiang Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 39% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Review
  7. The Lung in Rheumatoid Arthritis-Friend or Enemy?International journal of molecular sciences · 2024
    Review
  8. Article
  9. Etiology and Pathogenesis of Rheumatoid Arthritis-Interstitial Lung Disease.International journal of molecular sciences · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. 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

6 authors at 2 institutions in 1 country.

Wei ZhouDepartment of Rheumatology, Shandong University Qilu Hospital, 107 Wenhua Xi Road, Jinan, 250012, Shandong Province, China.ORCID https://orcid.org/0000-0002-6040-4862
Juan ZhengDepartment of the Key Laboratory of Ophthalmology, Liaocheng People's Hospital, Liaocheng, 252000, China.ORCID https://orcid.org/0000-0001-8240-0638
Min YuanDepartment of Rheumatology, Liaocheng People's Hospital, Liaocheng, 252000, China.ORCID https://orcid.org/0000-0003-3734-5996
Lindong YuanDepartment of Pneumology, Liaocheng People's Hospital, Liaocheng, 252000, China.ORCID http://orcid.org/0000-0002-1162-9934
Xiaodong JiaDepartment of the Key Laboratory of Ophthalmology, Liaocheng People's Hospital, Liaocheng, 252000, China.ORCID http://orcid.org/0000-0002-1901-1442
Huaxiang LiuDepartment of Rheumatology, Shandong University Qilu Hospital, 107 Wenhua Xi Road, Jinan, 250012, Shandong Province, China. huaxiangliu@hotmail.com.ORCID https://orcid.org/0000-0001-6989-1428
Liaocheng People's Hospital · CNQilu Hospital of Shandong University · CN

Funding

National Natural Science Foundation of China 81371929
6 · The paper itself

Abstract

objectivesInterstitial lung disease (ILD) is frequently associated with rheumatoid arthritis (RA) and has a large impact on the prognosis of RA, particularly among females, with an increased prevalence and severity compared with that of males. Here, we aimed to investigate the lncRNA profiles in peripheral blood mononuclear cells (PBMCs) from middle-aged female patients with RA-ILD to determine whether they could help diagnose RA-ILD.

methodWe collected PBMCs from middle-aged female healthy controls, and RA and RA-ILD patients, excluding those with known risk factors of RA-ILD, such as being elderly or male, smoking, and having a history of other diseases. Then, a microarray analysis was applied to profile the lncRNA and mRNA levels in 3 pairs of samples. qPCR was performed to evaluate the candidate lncRNAs from 20 participants of each group.

resultsThe expression levels of NR_002819, NR_038935, and ENST00000603415 were significantly increased in the RA-ILD group, while the expression level of ENST00000560199 was significantly decreased. As risk factors for RA-ILD, the area under the curve (AUC) values of NR_002819, NR_038935, and ENST00000603415 were 0.858, 0.704 (medium diagnostic accuracy), and 0.976 (high diagnostic accuracy), respectively. As a protective factor for RA-ILD, the AUC of ENST00000560199 was 0.853(medium diagnostic accuracy).

conclusionsTo the best of our knowledge, this is the first study of lncRNA profiles in RA-ILD. The expression levels of NR_002819 (MALAT1), NR_038935, ENST00000603415, and ENST00000560199 were significantly different in the RA-ILD group and could be potential biomarkers for the assessment and diagnosis of middle-aged female RA-ILD patients. Key Points • The expression profile of lncRNAs in PBMCs from RA-ILD patients was evaluated. • NR_002819, NR_038935, and ENST00000603415 increased in RA-ILD patients. •ENST00000560199 decreased in RA-ILD patients. • The 4 lncRNAs might be potential biomarkers for diagnosis of RA-ILD.

Indexed as

Area Under CurveArthritis, RheumatoidBiomarkersCase-Control StudiesFemaleHumansLung Diseases, InterstitialMiddle AgedPrognosisReal-Time Polymerase Chain ReactionRisk FactorsRNA, Long NoncodingRNA, MessengerROC CurveBiomarkersRNA, Long NoncodingRNA, MessengerBiological markerInterstitial lung diseaselncRNARheumatoid arthritis

Identifiers

PMID32133566
OpenAlexW3010479755

What OpenQuestion holds

Textmetadata
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.