Evidence map›Paper›PMID 42898388›Full record

ArticleGenes & diseases2027

Targeting hepatic CREBZF protects against atherosclerosis via exosomal miR-210-3p mediated inhibition of endothelial inflammation.

Jinxuan Wang, Xiaoqi Zhou, Yuanyuan Liu, Jianxiong Xu, Yanzhu Long, Shuai Hu, Cheng Wang, Liqiong Yan, Chen Yang, Langtao Wang and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes & diseases, 2027. 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

17 authors.

Jinxuan WangAging Mechanisms and Interventions Key Laboratory of Sichuan Province, School of Basic Medical Sciences, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Xiaoqi ZhouSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Yuanyuan LiuAging Mechanisms and Interventions Key Laboratory of Sichuan Province, School of Basic Medical Sciences, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Jianxiong XuCollege of Health Management, Xihua University, Chengdu, Sichuan 610039, China.
Yanzhu LongKey Laboratory of Target Discovery and Protein Drug Development in Major Diseases of Sichuan Higher Education Institutes, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Shuai HuKey Laboratory of Target Discovery and Protein Drug Development in Major Diseases of Sichuan Higher Education Institutes, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Cheng WangKey Laboratory of Target Discovery and Protein Drug Development in Major Diseases of Sichuan Higher Education Institutes, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Liqiong YanSchool of Clinical Medicine, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Chen YangKey Laboratory of Target Discovery and Protein Drug Development in Major Diseases of Sichuan Higher Education Institutes, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Langtao WangKey Laboratory of Target Discovery and Protein Drug Development in Major Diseases of Sichuan Higher Education Institutes, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Liping LuoKey Laboratory of Target Discovery and Protein Drug Development in Major Diseases of Sichuan Higher Education Institutes, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Tao YuKey Laboratory of Target Discovery and Protein Drug Development in Major Diseases of Sichuan Higher Education Institutes, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Yang ShenInstitute of Biomedical Engineering, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China.
Yu LiCAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Xiangyu ZhouDepartment of Cardiology, The Affiliated Hospital of Southwest Medical University and Key Laboratory of Medical Electrophysiology, Ministry of Education, Institute of Cardiovascular Research and Institute of Metabolic Diseases, Southwest Medical University, Luzhou, Sichuan 646000, China.
Guixue WangKey Laboratory of Target Discovery and Protein Drug Development in Major Diseases of Sichuan Higher Education Institutes, School of Biological Sciences and Technology, Chengdu Medical College, Chengdu, Sichuan 610500, China.
Xiaozhen DaiAging Mechanisms and Interventions Key Laboratory of Sichuan Province, School of Basic Medical Sciences, Chengdu Medical College, Chengdu, Sichuan 610500, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) continue to be the primary cause of mortality globally. Abnormal liver function has been widely recognized as an independent risk factor for atherosclerotic CVDs. However, how alterations in liver function affect distal vascular function remains largely unknown. CREBZF, a bZIP transcription factor of the CREB/ATF family, has been identified as a driver of hepatic steatosis and fibrosis. Here, we provide the first demonstration that hepatic CREBZF acts as a critical regulator driving atherosclerotic progression.

Indexed as

AtherosclerosisCREBZFExosomesLiver-vascular crosstalkmiRNA

Identifiers

PMID42898388
PMCPMC13677596

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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.