Evidence map›Paper›PMID 32612856›Full record

ArticleCardiology research and practice2020

Heparin-Binding Protein: A Novel Biomarker Linking Four Different Cardiovascular Diseases.

Yufeng Cai, Xueyan Zhang, Jie Shen, Boyue Jiang, Dehua Hu, Mingyi Zhao

Open access · goldAbstract read
In one paragraph

Article in Cardiology research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

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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 1 institution in 1 country.

Yufeng CaiDepartment of Pediatrics, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China.
Xueyan ZhangDepartment of Pediatrics, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China.ORCID https://orcid.org/0000-0001-6399-7926
Jie ShenDepartment of Pediatrics, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China.ORCID https://orcid.org/0000-0001-8823-6488
Boyue JiangDepartment of Pediatrics, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China.
Dehua HuXiangya School of Life Science, Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0001-8027-405X
Mingyi ZhaoDepartment of Pediatrics, The Third Xiangya Hospital, Central South University, Hunan, Changsha, China.ORCID https://orcid.org/0000-0002-2884-0736
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases are an important group of diseases that seriously affect quality of life. Thus, their treatment warrants further study. Heparin-binding protein (HBP) is a granulocyte protein derived from neutrophils. When an infection occurs, neutrophils release HBP, which can lead to elevated HBP levels in the blood. Therefore, HBP family members are said to be important indicators of infection. However, basic evidence is still lacking to confirm the possible relationship between HBP and cardiovascular diseases. Using bioinformatics methods, we investigated the role of the HBP network in normal hearts and hearts from patients with cardiovascular disease. First, we used the Open Targets database to obtain a list of HBP-encoding mRNAs related to atherosclerosis, myocarditis, myocardial infarction, and myocardial ischemia. Then, we constructed an HBP gene interaction network map using STRING. Clustering coefficients were calculated using Cytoscape, and MCODE was used for subnet analysis. Finally, the proposed interstitial network of HBPs was established and analyzed by Metascape enrichment analysis of the relevant signaling pathways. The aggregation coefficient of the HBP interaction network was higher among hearts with the four cardiovascular diseases, atherosclerosis (0.496), myocarditis (0.631), myocardial infarction (0.532), and myocardial ischemia (0.551), than in normal hearts. Metascape analysis showed that "NABA_MATRISOME_ASSOCIATED" was a typical pathway with the highest

Identifiers

PMID32612856
PMCPMC7312699
OpenAlexW3035120626

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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.