Evidence map›Paper›PMID 36628247›Full record

ArticleAmerican journal of translational research2022

Dysfunctional network of hub genes in hypertrophic cardiomyopathy patients.

Shan Wu, Iqtidar Ud Din, Faisal Mahmood Sadiq, Mostafa A Abdel-Maksoud, Muhammad Haris, Ayman Mubarak, Mohamed A Farrag, Sumaiah Alghamdi, Sally Almekhlafi, Muhammad Akram and 1 more

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

5 citing papers in PubMed, 3 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

11 authors at 6 institutions in 3 countries.

Shan WuWuhu No. 1 People's Hospital Wuhu 241000, Anhui, China.
Iqtidar Ud DinDepartment of Cardiology, Nowshera Medical College Nowshera, Pakistan.
Faisal Mahmood SadiqPunjab Institute of Mental Health Lahore, Pakistan.
Mostafa A Abdel-MaksoudDepartment of Botany and Microbiology, College of Science, King Saud University P.O. 2455, Riyadh 11451, Saudi Arabia.
Muhammad HarisDepartment of Anatomy, Nowshera Medical College Nowshera, Pakistan.
Ayman MubarakDepartment of Botany and Microbiology, College of Science, King Saud University P.O. 2455, Riyadh 11451, Saudi Arabia.
Mohamed A FarragDepartment of Botany and Microbiology, College of Science, King Saud University P.O. 2455, Riyadh 11451, Saudi Arabia.
Sumaiah AlghamdiDepartment of Botany and Microbiology, College of Science, King Saud University P.O. 2455, Riyadh 11451, Saudi Arabia.
Sally AlmekhlafiDepartment of Botany and Microbiology, College of Science, King Saud University P.O. 2455, Riyadh 11451, Saudi Arabia.
Muhammad AkramFaculty of Medicine & Allied Medicine, Nishtar Medical College Multan, Pakistan.
Guangyao LiThe Second People's Hospital of Wuhu, Department of Gastrointestinal Surgery Wuhu 241000, Anhui, China.
King Saud University · SANorthern University · PKNishtar Medical College and Hospital · PKPunjab Institute of Cardiology · PKWuhu Fourth People Hospital · CNWuhu No 1 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering it is one of the major causes of sudden cardiac arrest, the proper management of hypertrophic cardiomyopathy (HCM) is essential. However, efficient treatment options for this disease are still lacking. The discovery of HCM-associated hub genes may help in diagnosis and offer a reliable tool for developing effective therapeutic strategies.

methodsWe examined HCM-based gene expression datasets (GSE36961) from the Gene Expression Omnibus (GEO) database for the identification of differentially expressed genes (DEGs), PPI network development, module screening, and shortlisting of hub genes via GEOR2, STRING, and Cytoscape. Moreover, we also used another HCM-based gene expression dataset (GSE32453) for the expression validation of hub genes. Following this, we constructed the lncRNA-cricRNA-miRNA-mRNA regulatory network after retrieving information from the miRTarBase, miRDB, and MiRcode databases. Finally, we used DAVID to perform functional and pathway analysis of the hub genes.

resultsFrom GSE36961, a total of the 262 most significant DEGs, including 162 down-regulated and 76 up-regulated, were identified between HCM patients and normal individuals. Among these DEGs, a total of 10 significantly down-regulated DEGs, including cluster of differentiation 14 (CD14), beta2 Integrin Gene (ITGB2), C1q subcomponent subunit B (C1QB), Cluster of Differentiation 163 (CD163), Hematopoietic Cell-Specific Lyn Substrate 1 (HCLS1), Arachidonate 5-Lipoxygenase Activating Protein (ALOX5AP), Pleckstrin (PLEK), Complement C1q C Chain (C1QC), Fc fragment Of IgE receptor Ig (FCER1G), and tyrosine kinase binding protein (TYROBP), were shortlisted as the hub genes. Pathway enrichment analysis showed that the identified hub genes were involved in the dysregulation of some diverse pathways in HCM patients. Such as, Pertussis, Complement and coagulation cascade, Legnionellosis, Asthma, Staphylococcus aureus infection, etc. Lastly, we also explored hub genes' regulatory 2 MicroRNAs (miRNAs, has-mir-7-5p and has-mir-27a-3p), one Long non-coding RNAs (lncRNA, OIP5-AS1-201), and one Circular RNA (cricRNA, CDR1as) via lncRNA-cricRNA-miRNA-mRNA regulatory network.

conclusionOur study revealed that ten hub genes (CD14, ITGB2, C1QB, CD163, HCLS1, ALOX5AP, PLEK, C1QC, FCER1G, and TYROBP) are involved in the development and progression of HCM. These genes can potentially be used as biomarkers and therapeutic targets for HCM patients.

Indexed as

biomarkerhub genesHypertrophic cardiomyopathymiRNAstherapeutic target

Identifiers

PMID36628247
PMCPMC9827312
OpenAlexW4315620623

What Socratic 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 Socratic graph.