Evidence map›Paper›PMID 26928231›Full record

ArticleScientific reports2016

Reciprocal Changes of Circulating Long Non-Coding RNAs ZFAS1 and CDR1AS Predict Acute Myocardial Infarction.

Ying Zhang, Lihua Sun, Lina Xuan, Zhenwei Pan, Kang Li, Shuangshuang Liu, Yuechao Huang, Xuyun Zhao, Lihua Huang, Zhiguo Wang and 12 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 3 pooled it
5.6field-weighted citation impact, top 3% 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

87 citing papers in PubMed, 3 syntheses or guidelines pooled it, 142 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Emerging Roles of Long Non-Coding RNAs in Cardiovascular Diseases.Journal of cellular and molecular medicine · 2025
    Review
  12. Article
  13. Circular RNAs as Novel Biomarkers and Application in Cardiovascular Diseases.Advances in experimental medicine and biology · 2025
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Implications of lncRNAs inFrontiers in cellular and infection microbiology · 2024
    Review

27 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

22 authors at 3 institutions in 2 countries.

Ying ZhangDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Lihua SunDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Lina XuanDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Zhenwei PanDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Kang LiDepartment of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, Heilongjiang, China.
Shuangshuang LiuDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Yuechao HuangDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Xuyun ZhaoDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Lihua HuangDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Zhiguo WangDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Yan HouDepartment of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, Heilongjiang, China.
Junnan LiDepartment of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, Heilongjiang, China.
Ye TianDepartment of Cardiology, the First Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Jiahui YuDepartment of Cardiology, the First Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Hui HanDepartment of gerontology, the First Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Yanhong LiuLaboratories of Medicine, the Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Fei GaoLaboratories of Medicine, the Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Yong ZhangDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Shu WangDepartment of Cardiology, the First Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Zhimin DuInstitute of Clinical Pharmacology, the Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Yanjie LuDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Baofeng YangDepartment of Pharmacology, Harbin Medical University (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), Harbin Medical University, Harbin, Heilongjiang, China.
Harbin Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CNFirst Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study sought to evaluate the potential of circulating long non-coding RNAs (lncRNAs) as biomarkers for acute myocardial infarction (AMI). We measured the circulating levels of 15 individual lncRNAs, known to be relevant to cardiovascular disease, using the whole blood samples collected from 103 AMI patients, 149 non-AMI subjects, and 95 healthy volunteers. We found that only two of them, Zinc finger antisense 1 (ZFAS1) and Cdr1 antisense (CDR1AS), showed significant differential expression between AMI patients and control subjects. Circulating level of ZFAS1 was significantly lower in AMI (0.74 ± 0.07) than in non-AMI subjects (1.0 ± 0.05, P < 0.0001), whereas CDR1AS showed the opposite changes with its blood level markedly higher in AMI (2.18 ± 0.24) than in non-AMI subjects (1.0 ± 0.05, P < 0.0001). When comparison was made between AMI and non-AMI, the area under ROC curve was 0.664 for ZFAS1 alone or 0.671 for CDR1AS alone, and 0.691 for ZFAS1 and CDR1AS combination. Univariate and multivariate analyses identified these two lncRNAs as independent predictors for AMI. Similar changes of circulating ZFAS1 and CDR1AS were consistently observed in an AMI mouse model. Reciprocal changes of circulating ZFAS1 and CDR1AS independently predict AMI and may be considered novel biomarkers of AMI.

Indexed as

AnimalsBiomarkersDisease Models, AnimalHumansMiceMice, Inbred C57BLMiddle AgedMyocardial InfarctionPrognosisRNA, Long NoncodingBiomarkerslong non-coding RNA CDR1AS, humanRNA, Long NoncodingZFAS1 long non-coding RNA, human

Identifiers

PMID26928231
PMCPMC4772828
OpenAlexW2333054146

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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.