Evidence map›Paper›PMID 37410216›Full record

ArticleApoptosis : an international journal on programmed cell death2023

Comprehensive analysis of mitochondrial dysfunction and necroptosis in intracranial aneurysms from the perspective of predictive, preventative, and personalized  medicine.

Bo Chen, Kang Xie, Jianzhong Zhang, Liting Yang, Hongshu Zhou, Liyang Zhang, Renjun Peng

Open access · hybridAbstract read
In one paragraph

Article in Apoptosis : an international journal on programmed cell death, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 33 citations in OpenAlex.

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  8. Death never dies: increasing impact of programmed cell death.Apoptosis : an international journal on programmed cell death · 2025
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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

7 authors at 2 institutions in 2 countries.

Bo Chen *Department of Neurosurgery, Xiangya Hospital, Central South University, No. 87 Xiangya Rd., Changsha, 410008, Hunan, People's Republic of China.
Kang Xie *Department of Neurosurgery, Xiangya Hospital, Central South University, No. 87 Xiangya Rd., Changsha, 410008, Hunan, People's Republic of China.
Jianzhong ZhangDepartment of Neurosurgery, Xiangya Hospital, Central South University (Jiangxi Branch), Nanchang, 330000, Jiangxi, China.
Liting YangDepartment of Neurosurgery, Xiangya Hospital, Central South University, No. 87 Xiangya Rd., Changsha, 410008, Hunan, People's Republic of China.
Hongshu ZhouDepartment of Neurosurgery, Xiangya Hospital, Central South University, No. 87 Xiangya Rd., Changsha, 410008, Hunan, People's Republic of China.
Liyang ZhangDepartment of Neurosurgery, Xiangya Hospital, Central South University, No. 87 Xiangya Rd., Changsha, 410008, Hunan, People's Republic of China. zhangliyang@csu.edu.cn.
Renjun PengDepartment of Neurosurgery, Xiangya Hospital, Central South University, No. 87 Xiangya Rd., Changsha, 410008, Hunan, People's Republic of China. prjscience@csu.edu.cn.
Xiangya Hospital Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial dysfunction and necroptosis are closely associated, and play vital roles in the medical strategy of multiple cardiovascular diseases. However, their implications in intracranial aneurysms (IAs) remain unclear. In this study, we aimed to explore whether mitochondrial dysfunction and necroptosis could be identified as valuable starting points for predictive, preventive, and personalized medicine for IAs. The transcriptional profiles of 75 IAs and 37 control samples were collected from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs), weighted gene co-expression network analysis, and least absolute shrinkage and selection operator (LASSO) regression were used to screen key genes. The ssGSEA algorithm was performed to establish phenotype scores. The correlation between mitochondrial dysfunction and necroptosis was evaluated using functional enrichment crossover, phenotype score correlation, immune infiltration, and interaction network construction. The IA diagnostic values of key genes were identified using machine learning. Finally, we performed the single-cell sequencing (scRNA-seq) analysis to explore mitochondrial dysfunction and necroptosis at the cellular level. In total, 42 IA-mitochondrial DEGs and 15 IA-necroptosis DEGs were identified. Screening revealed seven  key genes invovled in mitochondrial dysfunction (KMO, HADH, BAX, AADAT, SDSL, PYCR1, and MAOA) and five genes involved in necroptosis (IL1B, CAMK2G, STAT1, NLRP3, and BAX). Machine learning confirmed the high diagnostic value of these key genes for IA. The IA samples showed  higher expression of mitochondrial dysfunction and necroptosis. Mitochondrial dysfunction and necroptosis exhibited a close association. Furthermore, scRNA-seq indicated that mitochondrial dysfunction and necroptosis were preferentially up-regulated in monocytes/macrophages and vascular smooth muscle cells (VSMCs) within IA lesions. In conclusion, mitochondria-induced necroptosis was involved in IA formation, and was mainly up-regulated in monocytes/macrophages and VSMCs within IA lesions. Mitochondria-induced necroptosis may be a novel potential target for diagnosis, prevention, and treatment of IA.

Indexed as

Intracranial AneurysmPrecision MedicineApoptosisbcl-2-Associated X ProteinHumansNecroptosisbcl-2-Associated X Protein3P medicineBioinformaticsIntracranial aneurysmMitochondrial dysfunctionNecroptosis

Identifiers

PMID37410216
PMCPMC10425526
OpenAlexW4383303136

What Socratic holds

Textmetadata
LicenceCC BY
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.