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暴露于氧化性气态空气污染物与PNPLA3-I148M基因型相互作用,影响年轻成年人的肝脏脂肪分数和多组学特征。

Oxidative gaseous air pollutant exposure interacts with PNPLA3-I148M genotype to influence liver fat fraction and multi-omics profiles in young adults.

作者信息

Patterson William B, Young Nathan D, Holzhausen Elizabeth A, Lurmann Frederick, Liang Donghai, Walker Douglas I, Jones Dean P, Liao Jiawen, Chen Zhanghua, Conti David V, Chatzi Lida, Goodrich Jesse A, Alderete Tanya L

机构信息

Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA.

Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

出版信息

Environ Pollut. 2025 Mar 1;368:125692. doi: 10.1016/j.envpol.2025.125692. Epub 2025 Jan 27.

Abstract

PNPLA3-I148M genotype is the strongest predictive single-nucleotide polymorphism for liver fat. We examine whether PNPLA3-I148M modifies associations between oxidative gaseous air pollutant exposure (O) with i) liver fat and ii) multi-omics profiles of miRNAs and metabolites linked to liver fat. Participants were 69 young adults (17-22 years) from the Meta-AIR cohort. Prior-month residential O exposure (redox-weighted oxidative capacity of nitrogen dioxide and ozone) was spatially interpolated from monitoring stations via inverse-distance-squared weighting. Liver fat fraction was assessed by MRI. Serum miRNAs and metabolites were assayed via NanoString nCounter and LC-HRMS, respectively. Multi-omics factor analysis (MOFA) was used to identify latent factors with shared variance across omics layers. Multivariable linear regression models adjusted for age, sex, body mass index, and genotype with liver fat or MOFA factors as an outcome and examined PNPLA3 (rs738409; CC/CG vs. GG) as a multiplicative interaction term. Overall, a standard deviation difference in O exposure was associated with 8.9% relative increase in liver fat (p = 0.04) and this relationship differed by PNPLA3 genotype (p-value for interaction term: p<0.001), whereby relative increases in liver fat for GG and CC/CG participants were 71.8% and 2.4%, respectively. There was no main effect of O on MOFA Factor 1 expression (p = 0.85), but there was an interaction with PNPLA3 genotype (p = 0.01), whereby marginal slopes were 0.211 and -0.017 for GG and CC/CG participants, respectively. MOFA Factor 1 in turn was associated with liver fat (p = 0.006). MOFA Factor 1 miRNAs targeted genes in Fatty Acid Biosynthesis and Metabolism and Lysine Degradation pathways. MOFA Factor 9 was also associated with liver fat and was comprised of branched-chain keto acid and amino acid metabolites. The effects of O exposure on liver fat is exacerbated in young adults with two PNPLA3 risk alleles, potentially through differential effects on miRNA and/or metabolite profiles.

摘要

PNPLA3 - I148M基因型是预测肝脏脂肪含量最强的单核苷酸多态性。我们研究了PNPLA3 - I148M是否会改变氧化气态空气污染物暴露(O)与以下两方面的关联:i)肝脏脂肪;ii)与肝脏脂肪相关的miRNA和代谢物的多组学图谱。研究对象为来自Meta - AIR队列的69名年轻成年人(17 - 22岁)。通过反距离平方加权法,根据监测站数据对前一个月居住环境中的O暴露(二氧化氮和臭氧的氧化还原加权氧化能力)进行空间插值。通过磁共振成像(MRI)评估肝脏脂肪分数。分别通过NanoString nCounter和液相色谱 - 高分辨质谱(LC - HRMS)检测血清miRNA和代谢物。采用多组学因子分析(MOFA)来识别各组学层面具有共享方差的潜在因子。以年龄、性别、体重指数和基因型作为协变量,以肝脏脂肪或MOFA因子为结局变量,构建多变量线性回归模型,并将PNPLA3(rs738409;CC/CG与GG)作为相乘交互项进行分析。总体而言,O暴露的标准差差异与肝脏脂肪相对增加8.9%相关(p = 0.04),且这种关系因PNPLA3基因型而异(交互项p值:p<0.001),其中GG和CC/CG参与者的肝脏脂肪相对增加分别为71.8%和2.4%。O对MOFA因子1的表达没有主效应(p = 0.85),但与PNPLA3基因型存在交互作用(p = 0.01),其中GG和CC/CG参与者的边际斜率分别为0.211和 - 0.017。MOFA因子1又与肝脏脂肪相关(p = 0.006)。MOFA因子1的miRNA靶向脂肪酸生物合成与代谢以及赖氨酸降解途径中的基因。MOFA因子9也与肝脏脂肪相关,由支链酮酸和氨基酸代谢物组成。对于携带两个PNPLA3风险等位基因的年轻成年人,O暴露对肝脏脂肪的影响可能通过对miRNA和/或代谢物谱的不同作用而加剧。

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