Evidence map›Paper›PMID 29437903›Full record

ArticleBioscience reports2018

Bioinformatics analysis of microRNAs related to blood stasis syndrome in diabetes mellitus patients.

Ruixue Chen, Minghao Chen, Ya Xiao, Qiuer Liang, Yunfei Cai, Liguo Chen, Meixia Fang

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. A review on the role of miR-671 in human disorders.Frontiers in molecular biosciences · 2022
    Review
  5. Article
  6. Article
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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

7 authors at 2 institutions in 1 country.

Ruixue ChenSchool of Chinese Medicine, Jinan University, Guangzhou, Guangdong 510632, China.
Minghao ChenReproductive Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong 511400, China.
Ya XiaoSchool of Chinese Medicine, Jinan University, Guangzhou, Guangdong 510632, China.
Qiuer LiangSchool of Chinese Medicine, Jinan University, Guangzhou, Guangdong 510632, China.
Yunfei CaiSchool of Chinese Medicine, Jinan University, Guangzhou, Guangdong 510632, China.
Liguo ChenSchool of Chinese Medicine, Jinan University, Guangzhou, Guangdong 510632, China tchenly@jnu.edu.cn fangmx1979@163.com.
Meixia FangInstitute of Laboratory Animals, Jinan University, Guangzhou, Guangdong 510632, China tchenly@jnu.edu.cn fangmx1979@163.com.
Jinan University · CNGuangdong Province Women and Children Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In traditional Chinese medicine (TCM), blood stasis syndrome (BSS) is mainly manifested by the increase of blood viscosity, platelet adhesion rate and aggregation, and the change of microcirculation, resulting in vascular endothelial injury. It is an important factor in the development of diabetes mellitus (DM). The aim of the present study was to screen out the potential candidate microRNAs (miRNAs) in DM patients with BSS by high-throughput sequencing (HTS) and bioinformatics analysis. Human umbilical vein endothelial cells (HUVECs) were incubated with 10% human serum to establish models of DM with BSS, DM without BSS (NBS), and normal control (NC). Total RNA of each sample was extracted and sequenced by the Hiseq2000 platform. Differentially expressed miRNAs (DE-miRNAs) were screened between samples and compared with known changes in mRNA abundance. Target genes of miRNAs were predicted by softwares. Gene Ontology (GO) and pathway enrichment analysis of the target genes were conducted. According to the significantly enriched GO annotations and pathways (

Indexed as

Blood ViscosityComputational BiologyDiabetes MellitusFemaleHumansHuman Umbilical Vein Endothelial CellsMaleMicroRNAsSyndromeMicroRNAsbioinformaticsblood stasis syndromediabetesendothelial cellsmicroRNA

Identifiers

PMID29437903
PMCPMC5861324
OpenAlexW2791561317

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.