Evidence map›Paper›PMID 40775064›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2025

Copy number loss Of APP cause thoracic aortic dissection.

Qiannan Gao, Minghui Bao, Jiangshan Tan, Haizeng Zhang, Luyun Fan, Yiran Zhou, Liyan Mao, Chengjun Huang, Weili Zhang, Bin Geng and 3 more

Abstract read
In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Qiannan Gao *Beijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Minghui Bao *Department of Cardiology, Peking University First Hospital, Peking University, Beijing, China.
Jiangshan Tan *Fuwai Hospital, National Center for Cardiovascular Diseases of China, CAMS and PUMC, Beijing, China.
Haizeng ZhangBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Luyun FanBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Yiran ZhouDepartment of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing, China.
Liyan MaoBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Chengjun HuangBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Weili ZhangFuwai Hospital, National Center for Cardiovascular Diseases of China, CAMS and PUMC, Beijing, China.
Bin GengFuwai Hospital, National Center for Cardiovascular Diseases of China, CAMS and PUMC, Beijing, China.
Xiaohan FanFuwai Hospital, National Center for Cardiovascular Diseases of China, CAMS and PUMC, Beijing, China.
Jun CaiBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China. caijun7879@126.com.
Zhenzhen ChenBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China. chenzhenzhen@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic aortic dissection (TAD) is a leading cause of sudden cardiovascular death. Although a limited number of copy number variations (CNVs) have been reported in small cohorts of patients with hereditary TAD or sporadic aortic dissection, a comprehensive investigation and functional validation of CNVs in sporadic TAD using large-scale whole genome sequencing (WGS) data remain lacking. To address this gap, we conducted whole genome sequencing in two independent case-control studies, involving 257 patients with sporadic TAD and 132 controls. We generated gene knockout mice to explore the role of the target gene in TAD progression in vivo. Additionally, RNA-seq analysis and molecular biology experiments were performed in vitro to elucidate the underlying mechanisms. In the discovery and validation cohorts, we identified four CNVs genes (DSCAM, APP, LINC00907, PROCR) potentially pivotal in the pathogenesis of TAD. Among these, only APP displayed reduced expression in the aortas of TAD patients compared to controls. Deletion of APP exacerbated elastic fiber fragmentation and promoted TAD formation in both β-aminopropionitrile (BAPN)-induced and PCSK9/AngII-induced TAD models. In vitro, the loss of APP facilitated vascular smooth muscle cells (VSMCs) apoptosis and the switch to a secretory phenotype. Our study is the first to report novel CNVs of APP in TAD, demonstrating that APP deficiency accelerates the initiation and progression of TAD. These findings suggest that APP represents a promising therapeutic target and a potential genetic risk factor for TAD.

Indexed as

Amyloid beta-Protein PrecursorAortic Aneurysm, ThoracicAortic DissectionDNA Copy Number VariationsAnimalsApoptosisCase-Control StudiesDissection, Thoracic AortaFemaleHumansMaleMiceMice, KnockoutMiddle AgedMuscle, Smooth, VascularMyocytes, Smooth MuscleAmyloid beta-Protein PrecursorAortic dissectionAPPCopy number variantsVascular smooth muscle cell.Whole genome sequencing

Identifiers

PMID40775064
PMCPMC12497644

What OpenQuestion 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 OpenQuestion graph.