Evidence map›Paper›PMID 31168459›Full record

ArticleAnnals of translational medicine2019

MicroRNA expression profile by next-generation sequencing in a novel rat model of contrast-induced acute kidney injury.

Yong Liu, Bowen Liu, Yuanhui Liu, Shiqun Chen, Junqing Yang, Jin Liu, Guoli Sun, Wei-Jie Bei, Kun Wang, Zhujun Chen and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Yong LiuDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Bowen LiuGuangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510630, China.
Yuanhui LiuDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Shiqun ChenDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Junqing YangDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Jin LiuDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Guoli SunGuangdong Provincial People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510630, China.
Wei-Jie BeiDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Kun WangDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Zhujun ChenDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Ning TanDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Jiyan ChenDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Guangdong Provincial People's Hospital · CNGuangdong Academy of Medical Sciences · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are known to regulate most biological processes including contrast-induced acute kidney injury (CI-AKI). Few studies have investigated microRNA (miRNAs) expressions in a novel rat model of CI-AKI using nonionic low-osmolar iodic contrast medium Ultravist, and performed gene ontology (GO) categories analysis.

methodsIn this study, kidney tissues were collected from Sprague-Dawley rats at 24 h after contrast-exposure (CI-AKI) and saline-administration (control). MiRNAs microarray assays were used to detect miRNAs in the kidney tissue by next-generation sequencing. Real-time PCR was performed to verify the microarray assays results. All significant differently expressed miRNAs were analyzed by GO categories and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.

resultsOf the 173 detected miRNAs, 22 were down-regulated (miR-328a-5p, miR-31a-5p, miR-377-3p,

conclusionsThe 41 miRNAs identified were differentially expressed in the kidneys of a novel rat model of CI-AKI, and thus possess the potential to serve as novel biological markers and new molecular targets for CI-AKI.

Indexed as

biological markerscontrast-induced acute kidney injury (CI-AKI)MicroRNAsrat model

Identifiers

PMID31168459
PMCPMC6526253
OpenAlexW2943438140

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.