Evidence map›Paper›PMID 32342557›Full record

ArticleJournal of clinical laboratory analysis2020

Long non-coding RNA PVT1, a novel biomarker for chronic obstructive pulmonary disease progression surveillance and acute exacerbation prediction potentially through interaction with microRNA-146a.

Yujun Wang, Xiaoyu Lyu, Xiaoling Wu, Li Yu, Ke Hu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Mechanisms and markers of lung ageing in health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
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  7. Article
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  9. BloodBiomarkers in medicine · 2024
    Article
  10. Review
  11. LncRNA PVT1 induces apoptosis and inflammatory response of bronchial epithelial cells by regulating miR-30b-5p/BCL2L11 axis in COPD.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2023
    Article
  12. Endoplasmic reticulum stress: a vital process and potential therapeutic target in chronic obstructive pulmonary disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Review
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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 2 institutions in 1 country.

Yujun WangDivision of Respiratory Disease, Renmin Hospital of Wuhan University, Wuhan, China.
Xiaoyu LyuDepartment of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaoling WuDepartment of Critical Care Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li YuDepartment of Critical Care Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID http://orcid.org/0000-0003-1209-4254
Ke HuDivision of Respiratory Disease, Renmin Hospital of Wuhan University, Wuhan, China.ORCID https://orcid.org/0000-0001-9862-7239
Central Hospital of Wuhan · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to investigate the abilities of long non-coding RNA PVT1 (lnc-PVT1) and microRNA-146a (miR-146a) in predicting chronic obstructive pulmonary disease (COPD) susceptibility and acute exacerbation risk, moreover, to explore the association of lnc-PVT1 with disease severity, inflammation, and miR-146a in patients with COPD.

methodsA total of 80 acute exacerbation of COPD (AECOPD) patients, 80 stable COPD patients, and 80 healthy controls (HCs) were consecutively recruited. Peripheral blood samples of all participants were collected to isolate peripheral blood mononuclear cells (PBMCs), and serum: PBMCs were used to detect lnc-PVT1 and miR-146a by RT-qPCR; serum was used to detect inflammatory cytokines by ELISA. Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage of COPD was assessed.

resultsLnc-PVT1 expression was highest in AECOPD patients, followed by stable COPD patients and HCs. Receiver operating characteristic curves disclosed that lnc-PVT1 distinguished AECOPD patients and stable COPD patients from HCs, also distinguished AECOPD patients from stable COPD patients. In AECOPD patients and stable COPD patients, lnc-PVT1 expression positively correlated with GOLD stage and levels of TNF-α, IL-6, IL-8, and IL-17. Moreover, lnc-PVT1 was negatively correlated with miR-146a. For miR-146a, its expression was lowest in AECOPD patients, followed by stable COPD patients and HCs, and it predicted reduced COPD susceptibility and decreased acute exacerbation risk; meanwhile, it negatively correlated with GOLD stage and inflammatory cytokine levels in AECOPD patients and stable COPD patients.

conclusionLnc-PVT1 assists the disease management and acute exacerbation risk monitoring of COPD via interaction with miR-146a.

Indexed as

Pulmonary Disease, Chronic ObstructiveAgedBiomarkersCase-Control StudiesFemaleHumansMaleMicroRNAsMiddle AgedRiskRNA, Long NoncodingSeverity of Illness IndexBiomarkersMicroRNAsMIRN146 microRNA, humanPVT1 long-non-coding RNA, humanRNA, Long Noncodingacute exacerbation riskchronic obstructive pulmonary diseasedisease severityinflammationlong non-coding RNAPVT1miRNA-146a

Identifiers

PMID32342557
PMCPMC7439356
OpenAlexW3018179327

What OpenQuestion 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 OpenQuestion graph.