Evidence map›Paper›PMID 39181687›Full record

ArticleStroke and vascular neurology2025

PRCP is a promising drug target for intracranial aneurysm rupture supported via multi-omics analysis.

Jinghao Wu, Yunyun Mei, XinYu Li, Wen-Kai Yu, Zi Han Zhou, Yinghao Yang, Pengpeng Niu, Yunchao Wang, Chang-He Shi, Hanghang Zhu and 4 more

Abstract read
In one paragraph

Article in Stroke and vascular neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

14 authors.

Jinghao Wu *Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yunyun Mei *Department of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, Shanghai, China.
XinYu Li *The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Wen-Kai YuDepartment of Neurology, Zhengzhou University, Zhengzhou, Henan, China.
Zi Han ZhouReproductive Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yinghao YangDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Pengpeng NiuDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yunchao WangDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0002-3702-3826
Chang-He ShiDepartment of Neurology, Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0002-4843-0072
Hanghang ZhuDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Wenjun HeThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yuan GaoDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yuming XuDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0003-2689-9897
Yusheng LiDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China fccliyusheng@zzu.edu.cn.ORCID 0000-0003-2437-0295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCerebral aneurysms are life-threatening cerebrovascular disorders. Currently, there are no effective treatments for preventing disease progression. Mendelian randomisation (MR) is widely used to repurify licensed drugs and identify new therapeutic targets. Therefore, this study aims to investigate effective drug targets for preventing the formation and rupture of cerebral aneurysms and analyse their potential mechanisms.

methodsWe performed a comprehensive study integrating two-sample MR analysis, colocalisation analysis and summary data-based Mendelian randomisation (SMR) to assess the causal effects of blood and brain druggable cis-expression quantitative trait loci (cis-eQTLs) on intracranial aneurysm (IA), unruptured intracranial aneurysm (UIA) and subarachnoid haemorrhage of IA rupture (SAH). Druggable genes were obtained from the study by Chris Finan

resultsThrough the MR analysis, we identified four potential drug targets in the blood, including prolylcarboxypeptidase (PRCP), proteasome 20S subunit alpha 4 (PSMA4), LTBP4 and GPR160 for SAH. Furthermore, two potential drug targets (PSMA4 and SLC22A4) were identified for IA and one potential drug target (KL) for UIA after accounting for multiple testing (P(inverse-variance weighted)<8.28e-6). Strong evidence of colocalisation and SMR analysis confirmed the relevance of PSMA4 and PRCP in outcomes. Elevated PRCP circulating proteins correlated with a lower SAH risk. PRCP gene expression was significantly downregulated in the disease cohort.

conclusionsThis study supports that elevated PRCP gene expression in blood is causally associated with the decreased risk of IA rupture. Conversely, increased PSMA4 expression in the blood is causally related to an increased risk of IA rupture and formation.

Indexed as

Aneurysm, RupturedCarboxypeptidasesIntracranial AneurysmProteasome Endopeptidase ComplexProteomicsSubarachnoid HemorrhageGene Expression ProfilingGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMendelian Randomization AnalysisMolecular Targeted TherapyMultiomicsPhenotypeQuantitative Trait LociRisk FactorsCarboxypeptidasesProteasome Endopeptidase ComplexHemorrhageIntracranial AneurysmStroke

Identifiers

PMID39181687
PMCPMC12107461

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.