Evidence map›Paper›PMID 40596702›Full record

ArticleScientific reports2025

Lactylation associated biomarkers and immune infiltration in aortic dissection.

Jianfeng Ye, Yuntao Fu, Yuanjia Ke, Huanting Liu, Sini Fang, Yumeng Lei, Ying Mao, Liqiu Yan, Youcheng Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jianfeng Ye *Department of Cardiology, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, 523326, Guangdong, China.
Yuntao Fu *Department of Cardiology, Cardiovascular Research Institute, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China.
Yuanjia KeDepartment of Cardiology, Cardiovascular Research Institute, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China.
Huanting LiuDepartment of Cardiology, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, 523326, Guangdong, China.
Sini FangDepartment of Cardiology, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, 523326, Guangdong, China.
Yumeng LeiDepartment of Cardiology, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, 523326, Guangdong, China.
Ying MaoDepartment of Cardiology, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, 523326, Guangdong, China.
Liqiu YanDepartment of Cardiology, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, 523326, Guangdong, China. yanliqiu110@163.com.
Youcheng WangDepartment of Cardiology, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, 523326, Guangdong, China. wyc380095930@whu.edu.cn.

Funding

Natural Science Foundation of Hubei Province 2023AFB409Special Project for Clinical and Basic Sci&Tech Innovation of Guangdong Medical University GDMULCJC2024112
6 · The paper itself

Abstract

Protein lactylation, a novel post-translational modification (PTM), has emerged as a critical factor in disease processes related to glycolysis and immune responses. However, its role in aortic dissection (AD) has yet to be thoroughly investigated. This study aimed to investigate the involvement of protein lactylation in AD and identify key lactylation-related genes as potential diagnostic biomarkers. Transcriptomic data from public databases were analyzed to identify differentially expressed lactylation-related genes in AD. Functional enrichment analyses were performed, and Weighted Gene Co-expression Network Analysis (WGCNA) was utilized to identify gene modules associated with AD. Machine learning methods, including LASSO and Random Forest, were employed to identify key diagnostic genes. Experimental validation was performed using human aortic tissues and an AD model. Bioinformatics analysis identified 11 lactylation-related differentially expressed genes (LR-DEGs) in AD. WGCNA and machine learning revealed two optimal feature genes, PGK1 and HMGA1, which were validated in an independent dataset and demonstrated high diagnostic accuracy (AUC: PGK1 = 1, HMGA1 = 0.94). Immune infiltration analysis indicated significant correlations between these genes and specific immune cell types, suggesting a role in immune regulation. Experimental validation in human and murine AD tissues confirmed the upregulation of PGK1 and HMGA1. This study underscores the importance of lactylation in the pathogenesis of AD and identifies PGK1 and HMGA1 as key biomarkers related to lactylation. These findings enhance our understanding of the metabolic and immune mechanisms involved in AD, thereby presenting new molecular targets for diagnosis and therapeutic intervention.

Indexed as

Aortic DissectionProtein Processing, Post-TranslationalAnimalsBiomarkersComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansMachine LearningMaleMicePhosphoglycerate KinaseTranscriptomeBiomarkersPhosphoglycerate KinaseAortic dissectionImmune infiltrationMachine learningPGK1 and HMGA1Protein lactylation

Identifiers

PMID40596702
PMCPMC12219385

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