Role of ferroptosis-related IREB2 in the shared genetic etiology between smoking and facial aging: Insights from large-scale genome-wide cross-trait analysis.

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-07-30 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.07.049
Xueyao Cai, Weidong Li, Wenjun Shi, Yuchen Cai, Jianda Zhou
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引用次数: 0

Abstract

While the association between smoking and accelerated facial aging is well documented, the specific pathways underlying this association remain poorly understood. To investigate the shared genetic architecture between smoking and facial aging, we performed genetic analyses based on genome-wide association studies (GWAS) data. These analyses included linkage disequilibrium score regression (LDSC), pleiotropic analysis under composite null hypothesis (PLACO), functional mapping and annotation (FUMA), and multi-marker analysis of genomic annotation (MAGMA). To further explore the shared target genes, we utilized expression quantitative trait loci (eQTLs) and mediation Mendelian randomization (MR) analysis, with subsequent validation conducted through in vitro experiments using NIH/3T3 cells. Additionally, we carried out pan-cancer correlation analyses to assess the broader implications of the identified genes in cancer biology. Through pleiotropy and colocalization analyses, IREB2, along with CHRNA5 and AARS1, were identified as having strong evidence linking smoking and facial aging. Functional enrichment, tissue-specific analyses, and gene co-expression network were conducted to further elucidate the functions of these genes. Following eQTLs and mediation analyses, IREB2 was identified as a potential mediator connecting smoking to facial aging. Cellular experiments demonstrated that exposure to cigarette smoke particles induces cellular senescence and downregulates IREB2 expression. The pan-cancer analysis highlighted IREB2's role in shaping the tumor microenvironment and influencing immune processes. This study identifies IREB2 as a critical factor in the molecular mechanisms by which smoking accelerates facial aging, while also contributing to tumor development and immune evasion. Further functional exploration of IREB2 could uncover new therapeutic avenues to address these interconnected conditions.

在吸烟和面部衰老的共同遗传病因中,与铁中毒相关的IREB2的作用:来自大规模全基因组交叉性状分析的见解
虽然吸烟和加速面部衰老之间的联系有充分的文献记载,但这种联系背后的具体途径仍然知之甚少。为了研究吸烟和面部衰老之间的共同遗传结构,我们基于全基因组关联研究(GWAS)数据进行了遗传分析。这些分析包括连锁不平衡评分回归(LDSC)、复合零假设下的多效性分析(PLACO)、功能定位和注释(fua)以及基因组注释的多标记分析(MAGMA)。为了进一步探索共享的靶基因,我们利用表达数量性状位点(eQTLs)和中介孟德尔随机化(MR)分析,随后通过NIH/3T3细胞体外实验进行验证。此外,我们进行了泛癌症相关性分析,以评估已鉴定基因在癌症生物学中的更广泛意义。通过多效性和共定位分析,IREB2、CHRNA5和AARS1被确定为吸烟与面部衰老有关的有力证据。为了进一步阐明这些基因的功能,我们进行了功能富集、组织特异性分析和基因共表达网络。通过eqtl和中介分析,IREB2被确定为吸烟与面部衰老之间的潜在中介。细胞实验表明,暴露于香烟烟雾颗粒可诱导细胞衰老并下调IREB2的表达。泛癌症分析强调了IREB2在塑造肿瘤微环境和影响免疫过程中的作用。本研究确定IREB2在吸烟加速面部衰老的分子机制中是一个关键因素,同时也有助于肿瘤的发展和免疫逃避。对IREB2的进一步功能探索可能会发现新的治疗途径来解决这些相互关联的疾病。
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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