Evidence map›Paper›PMID 31934120›Full record

ArticleInternational journal of clinical and experimental pathology2019

Long non-coding RNA NEAT1 predicts elevated chronic obstructive pulmonary disease (COPD) susceptibility and acute exacerbation risk, and correlates with higher disease severity, inflammation, and lower miR-193a in COPD patients.

Xiaoyan Ming, Weizhe Duan, Wei Yi

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

23 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Mechanisms and markers of lung ageing in health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Roles of noncoding RNAs in chronic obstructive pulmonary disease.Journal of translational internal medicine · 2023
    Article
  11. Article
  12. Article
  13. Involvement ofAnnals of translational medicine · 2022
    Article
  14. Article
  15. Increased Expression ofFrontiers in immunology · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

3 authors at 2 institutions in 1 country.

Xiaoyan MingDepartment of Geriatrics, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology Wuhan, China.
Weizhe DuanDepartment of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology Wuhan, China.
Wei YiDepartment of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan, China.
Central Hospital of Wuhan · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore the value of long non-coding RNA nuclear enriched abundant transcript 1 (lnc-NEAT1) in predicting chronic obstructive pulmonary disease (COPD) susceptibility and acute exacerbation risk, and to investigate the correlation of lnc-NEAT1 with disease severity, inflammation level, and miR-193a in COPD patients. 90 AECOPD patients, 90 stable COPD patients and 90 healthy controls were consecutively recruited. Severity of airflow obstruction in COPD patients was defined by GOLD guidelines. Plasma samples were collected from all participants, then lnc-NEAT1 and miR-193a expressions were measured by qPCR, and TNF-α, IL-1β, IL-6, and IL-17 were measured by ELISA. Lnc-NEAT1 expression was elevated in AECOPD patients and stable COPD patients compared to healthy controls, as well as in AECOPD patients compared to stable COPD patients; moreover, ROC curves showed that lnc-NEAT1 predicted increased COPD susceptibility and acute exacerbation risk of COPD. Also, lnc-NEAT1 expression positively correlated with GOLD stage and levels of TNF-α, IL-1β, IL-6 and IL-17 in both AECOPD and stable COPD patients. Furthermore, lnc-NEAT1 expression negatively correlated with miR-193a expression, and miR-193a could predict decreased COPD susceptibility and acute exacerbation risk, and negatively correlated with GOLD stage and levels of TNF-α, IL-1β, IL-6 and IL-17 in both AECOPD and stable COPD patients. lnc-NEAT1 predicts elevated COPD susceptibility and increased acute exacerbation risk, and positively correlates with disease severity as well as inflammation, but negatively associates with miR-193a in COPD patients.

Indexed as

Acute exacerbation of COPDinflammationlncRNA NEAT1miR-193aseverity

Identifiers

PMID31934120
PMCPMC6949709
OpenAlexW3006306958

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.