Evidence map›Paper›PMID 36341412›Full record

ArticleFrontiers in immunology2022

Common molecular mechanism and immune infiltration patterns of thoracic and abdominal aortic aneurysms.

Bin He, Ya Zhan, Chunyu Cai, Dianyou Yu, Qinjiang Wei, Liping Quan, Da Huang, Yan Liu, Zhile Li, Li Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. 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
2.9field-weighted citation impact, top 8% 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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  12. Innovation in pathogenesis and management of aortic aneurysm.World journal of experimental medicine · 2024
    Review
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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 2 institutions in 1 country.

Bin HeGraduate School of Youjiang Medical University for Nationalities, Baise, China.
Ya ZhanThe Third Hospital of MianYang, Sichuan Mental Health Center, MianYang, China.
Chunyu CaiGraduate School of Youjiang Medical University for Nationalities, Baise, China.
Dianyou YuGraduate School of Youjiang Medical University for Nationalities, Baise, China.
Qinjiang WeiDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Liping QuanGraduate School of Youjiang Medical University for Nationalities, Baise, China.
Da HuangDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Yan LiuDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Zhile LiDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Li LiuDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Xingshou PanDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Affiliated Hospital of Youjiang Medical University for Nationalities · CNMianyang Third People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aortic disease (aortic aneurysm (AA), dissection (AD)) is a serious threat to patient lives. Little is currently known about the molecular mechanisms and immune infiltration patterns underlying the development and progression of thoracic and abdominal aortic aneurysms (TAA and AAA), warranting further research. Methods: We downloaded AA (includes TAA and AAA) datasets from the GEO database. The potential biomarkers in TAA and AAA were identified using differential expression analysis and two machine-learning algorithms. The discrimination power of the potential biomarkers and their diagnostic accuracy was assessed in validation datasets using ROC curve analysis. Then, GSEA, KEGG, GO and DO analyses were conducted. Furthermore, two immuno-infiltration analysis algorithms were utilized to analyze the common immune infiltration patterns in TAA and AAA. Finally, a retrospective clinical study was performed on 78 patients with AD, and the serum from 6 patients was used for whole exome sequencing (WES). Results: The intersection of TAA and AAA datasets yielded 82 differentially expressed genes (DEGs). Subsequently, the biomarkers ( Conclusion: The genes

Indexed as

Aortic Aneurysm, AbdominalAortic Aneurysm, ThoracicBiomarkersHumansRetrospective StudiesBiomarkersaortic aneurysmsbiomarkersimmune cell infiltrationmachine-learningwhole exome sequencing

Identifiers

PMID36341412
PMCPMC9633949
OpenAlexW4306965916

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.