Evidence map›Paper›PMID 39709510›Full record

ArticleHuman genomics2024

Identifying PTAFR as a hub gene in atherosclerosis: implications for NETosis and disease progression.

Chaowen Ye, Yunli Zhao, Wei Yu, Rongzhong Huang, Tianyang Hu

Abstract read
In one paragraph

Article in Human genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Chaowen Ye *Precision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yunli Zhao *Precision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wei YuPrecision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Rongzhong HuangPrecision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. rzhuang@hospital.cqmu.edu.cn.
Tianyang HuPrecision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. hutianyang@stu.cqmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtherosclerosis (AS) is a major cause of cardiovascular diseases and neutrophil extracellular traps (NETs) may be actively involved in the development of atherosclerosis. Identifying key biomarkers in this process is essential for developing targeted treatments for AS.

methodsWe performed bioinformatics analysis using a NETosis-related gene (NRGs) set and three AS datasets (GSE100927, GSE21545, and GSE159677). Differential expression analysis and machine learning techniques (random forest and SVM-RFE) were used to screen for key NRGs. Functional enrichment analysis was conducted using GO and KEGG pathways. The expression and role of PTAFR and NETs in the mouse AS model were validated through histology, immunofluorescence, flow cytometry, and Western blot analysis. The regulatory relationship between PTAFR and NETs was confirmed by siRNA and antagonist intervention targeting PTAFR.

resultsWe identified 24 differentially expressed NRGs in AS. Random Forest and SVM-RFE analyses highlighted PTAFR as a key gene. Prognostic analysis revealed PTAFR significantly impacts ischemic events in AS patients. WB and immunofluorescence confirmed increased levels of NETs and PTAFR in the mouse AS model. Single-cell analysis, flow cytometry, and immunofluorescence revealed that PTAFR is primarily distributed in macrophages and neutrophils. Cellular experiments further confirmed that PTAFR regulates NETs formation.

conclusionPTAFR is an important regulatory factor for NET formation in AS, influencing the progression and prognosis of atherosclerosis. Targeting PTAFR may provide new therapeutic strategies for AS.

Indexed as

AtherosclerosisDisease ProgressionExtracellular TrapsAnimalsBiomarkersComputational BiologyDisease Models, AnimalGene Expression ProfilingHumansMachine LearningMaleMiceMice, Inbred C57BLNeutrophilsPrognosisBiomarkersAtherosclerosisCardiovascular diseasesNETosisNETsPTAFR

Identifiers

PMID39709510
PMCPMC11663315

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.