Evidence map›Paper›PMID 26949706›Full record

ArticleBioMed research international2016

Circulating Long Noncoding RNA UCA1 as a Novel Biomarker of Acute Myocardial Infarction.

Youyou Yan, Bin Zhang, Ning Liu, Chao Qi, Yanlong Xiao, Xin Tian, Tianyi Li, Bin Liu

Abstract read
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

72 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Emerging Roles of Long Non-Coding RNAs in Cardiovascular Diseases.Journal of cellular and molecular medicine · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. The Role of Long Non-Coding RNAs in Cardiovascular Diseases.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

12 more citing papers are in PubMed but not listed here.

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

8 authors.

Youyou YanDepartment of Cardiology, Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun 130041, China.
Bin ZhangDepartment of Cardiology, Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun 130041, China.
Ning LiuDepartment of Cardiology, Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun 130041, China.
Chao QiDepartment of Cardiology, Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun 130041, China.
Yanlong XiaoDepartment of Cardiology, Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun 130041, China.
Xin TianDepartment of Cardiology, Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun 130041, China.
Tianyi LiDepartment of Cardiology, Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun 130041, China.
Bin LiuDepartment of Cardiology, Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun 130041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myocardial infarction (AMI) is the most serious cardiovascular disease with high morbidity and mortality. Recent studies have showed that long noncoding RNAs (lnc RNA) play important roles in pathophysiology of cardiovascular diseases, but the investigations are still in their infancy. An lnc RNA named urothelial carcinoma-associated 1 (UCA1) is found in tumors such as bladder cancers and lung cancer. And the UCA1 could be as a predictive biomarker for bladder cancer in urine samples or lung cancer in plasma, respectively. In normal states, UCA1 is specifically expressed in heart of adult, indicating that UCA1 might be as a biomarker for heart diseases such as AMI. To test the speculation, we detect the level of UCA1 in plasma of AMI patients and health control using quantitative reverse transcription-polymerase chain reaction (qRT-PCR). In addition, we also test the level of miR-1 as it is reported to regulate the expression of UCA1. The results show that the level of plasma UCA1 is decreased at the early state of AMI patients and increased at day 3 after AMI. In addition, the UCA1 alteration is inversely associated with the expression of miR-1. These findings indicate that the circulating UCA1 could be used as a promising novel biomarker for the diagnosis and/or prognosis of AMI.

Indexed as

PrognosisAdultAgedBiomarkersFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMyocardial InfarctionRNA, Long NoncodingBiomarkersRNA, Long NoncodingUCA1 RNA, human

Identifiers

PMID26949706
PMCPMC4753318

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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.