Evidence map›Paper›PMID 24599781›Full record

ArticleMolecular biology reports2014

Immune-related chemotactic factors were found in acute coronary syndromes by bioinformatics.

Lei Zhang, Jian Li, Aibin Liang, Yang Liu, Bing Deng, Hao Wang

Abstract read
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In one paragraph

Article in Molecular biology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Jun, an Oncological Foe or Friend?International journal of molecular sciences · 2025
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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

6 authors at 3 institutions in 1 country.

Lei ZhangDepartment of Special Needs Medical Branch, Shanghai Tongji Hospital, School of Medicine, Tongji University, No. 389 Xincun Road, Putuo District, Shanghai, 200065, China, leizhanglzh@hotmail.com.
Jian Li
Aibin Liang
Yang Liu
Bing Deng
Hao Wang
Tongji University · CNTongji Hospital · CNLonghua Hospital Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA microarray data for thrombus-related leukocyte from patients with acute coronary syndrome (ACS) was analyzed to acquire key genes associated with ACS. Microarray data set GSE19339, including four ACS patients' samples and four normal samples, were downloaded from Gene Expression Omnibus database. Raw data was pre-processed and differentially expressed genes (DEGs) were identified by Affy packages of R. The interaction network was established with STRING. DrugBank was retrieved to obtain relevant small molecules. A total of 487 differentially expressed genes were identified as DEGs between normal and disease samples. Among which, ten up-regulated genes belonging to chemokine family (CCL2, CCR1, CXCL3, CXCL2, CCL8, CXCL11, CCL7, IL10, CCL22 and CCL20) were related to inflammatory response. In addition, two inhibitors of CCL2 (L-Mimosine) were retrieved from the DrugBank database. Considering the roles of inflammatory response in the progression of ACS and the functions of the ten up-regulated genes, we speculated that these genes might be related to ACS. Moreover, the inhibitors could provide guidelines for future drug design acting on these genes.

Indexed as

Acute Coronary SyndromeCardiotonic AgentsCase-Control StudiesChemokinesComputational BiologyDanazolDatabases, GeneticDatabases, PharmaceuticalGene Expression ProfilingGene Expression RegulationHumansMimosineOligonucleotide Array Sequence AnalysisProtein Interaction MappingSmall Molecule LibrariesCardiotonic AgentsChemokinesDanazolMimosineSmall Molecule Libraries

Identifiers

PMID24599781
OpenAlexW2052354729

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.