Evidence map›Paper›PMID 37770840›Full record

ArticleBMC cardiovascular disorders2023

Identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm.

Qi Ma, Long Hu, Yingwan Luo, Miao Wang, Shui Yu, Aidong Lu, Leping Zhang, Huimin Zeng

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 5 institutions in 1 country.

Qi Ma *Department of Anesthesiology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Long Hu *XJTLU Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Yingwan LuoDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Miao WangDepartment of Pediatrics, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100000, China.
Shui YuDepartment of Pediatrics, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100000, China.
Aidong LuDepartment of Pediatrics, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100000, China.
Leping ZhangDepartment of Pediatrics, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100000, China.
Huimin ZengDepartment of Pediatrics, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100000, China. huiminzeng@bjmu.edu.cn.
Peking University · CNPeking University People's Hospital · CNChengdu University of Traditional Chinese Medicine · CNFirst Affiliated Hospital Zhejiang University · CNXi’an Jiaotong-Liverpool University · CN

Funding

National Natural Science Foundation of China 82000151
6 · The paper itself

Abstract

backgroundThis study investigated the role of apoptosis-related genes in thoracic aortic aneurysms (TAA) and provided more insights into TAA's pathogenesis and molecular mechanisms. MATERIAL/

methodsTwo gene expression datasets (GSE9106 and GSE26155) were retrieved from the Gene Expression Omnibus (GEO) database. Apoptosis-related genes were obtained from the KEGG apoptosis pathway (hsa04210). Differentially expressed apoptosis-related genes were identified by performing differential expression analysis using limma for TAA blood and tissue samples. GO and KEGG enrichment analysis of the differentially expressed apoptosis genes was performed using the Metascape web tool. The miRNA-mRNA regulatory network was reconstructed using the ENCORI and miRDB databases, and functional enrichment analysis was performed on the related miRNAs using the miEAA tool. The correlation between the expression levels of differentially expressed apoptosis-related genes and genes involved in immune infiltration in TAA was calculated using the CIBERSORT algorithm. The apoptosis modification patterns mediated by differentially expressed apoptosis-related genes were systematically assessed in TAA samples.

resultsA total of 9 differentially-expressed apoptosis-related genes were identified in TAA samples compared with normal samples. 150 miRNAs and 6 mRNAs regulatory networks were reconstructed using the ENCORI and miRDB databases. Immune infiltration analysis revealed that the GZMB had the strongest positive correlation with activated NK cells and the DFFA presented the strongest positive correlation with T cells follicular helper. 3 distinct apoptosis modification patterns mediated by 9 differentially-expressed apoptosis-related genes were identified. They differ in immune characteristics and drug sensitivity, and their biological functions in these subtypes were further studied.

conclusionsThis study identified key apoptosis-related genes related to TAA and evaluated the modification patterns of key apoptosis genes in TAA, providing insights into potential targets and mechanisms of TAA pathogenesis and progression.

Indexed as

Aortic Aneurysm, ThoracicMicroRNAsApoptosisGene Expression ProfilingGene Regulatory NetworksHumansMicroRNAsApoptosisBioinformatical analysisRNA modificationThoracic aortic aneurysmTranscriptomics

Identifiers

PMID37770840
PMCPMC10540322
OpenAlexW4387138954

What OpenQuestion holds

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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.