Chen Qian-Qian, You Lei, Guan Peng-Wei, Fang Cheng-Nan, Qin Wang-Shu, Liu Xin-Yu, Xu Guo-Wang
Liaoning Province Key Laboratory of Metabolomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
China Medical University, Shenyang 110122, China.
Se Pu. 2024 Feb;42(2):164-175. doi: 10.3724/SP.J.1123.2023.12014.
Metabolic associated fatty liver disease (MAFLD) is a common liver disease with a prevalence of up to 25%; it not only adversely affects human health but also aggravates the economic burden of society. An increasing number of studies have suggested that the occurrence of chronic noncommunicable diseases is affected by both environmental exposures and genetic factors. Research has also shown that environmental pollution may increase the risk of MAFLD and promote its occurrence and development. However, the relationship between these concepts, as well as the underlying exposure effects and mechanism, remains incompletely understood. Lipidomics, a branch of metabolomics that studies lipid disorders, can help researchers investigate abnormal lipid metabolites in various disease states. Lipidome-exposome wide association studies are a promising paradigm for investigating the health effects of cumulative environmental exposures on biological responses, and could provide new ideas for determining the associations between metabolic and lipid changes and disease risk caused by chemical-pollutant exposure. Hence, in this study, targeted exposomics and nontargeted lipidomics studies based on ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) and ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) were used to characterize exogenous chemical pollutants and endogenous lipid metabolites in the sera of patients with MAFLD and healthy subjects. The results demonstrated that fipronil sulfone, malathion dicarboxylic acid, and monocyclohexyl phthalate may be positively associated with the disease risk of patients diagnosed as simple fatty liver disease (hereafter referred to as MAFLD(0)). Moreover, fipronil sulfone, acesulfame potassium, perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluoroundecanoic acid (PFUnDA), 4-hydroxybenzophenone, and 3,5-di-tert-butyl-4-hydroxybenzoic acid (DBPOB) may be positively associated with the disease risk of patients diagnosed as fatty liver complicated by single or multiple metabolic disorders. Association analysis was carried out to explore the lipid metabolites induced by chemical residues. Triglyceride (TG) and diglyceride (DG) were significantly increased in MAFLD and MAFLD(0). The numbers of carbons of significantly changed DGs and TGs were mainly in the ranges of 32-40 and 35-60, respectively, and both were mainly characterized by changes in polyunsaturated lipids. Most of the lipid-effect markers were positively correlated with chemical residues and associated with increased disease risk. Our research provides a scientific basis for studies on the association and mechanism between serum chemical-pollutant residues and disease outcomes.
代谢相关脂肪性肝病(MAFLD)是一种常见的肝脏疾病,患病率高达25%;它不仅对人类健康产生不利影响,还加重了社会经济负担。越来越多的研究表明,慢性非传染性疾病的发生受环境暴露和遗传因素的双重影响。研究还表明,环境污染可能增加MAFLD的风险并促进其发生发展。然而,这些概念之间的关系以及潜在的暴露效应和机制仍未完全明确。脂质组学作为代谢组学的一个分支,专门研究脂质紊乱,有助于研究人员调查各种疾病状态下的异常脂质代谢物。脂质组-暴露组全基因组关联研究是一种很有前景的模式,用于研究累积环境暴露对生物反应的健康影响,并可为确定代谢和脂质变化与化学污染物暴露所致疾病风险之间的关联提供新思路。因此,在本研究中,基于超高效液相色谱-串联质谱(UHPLC-MS/MS)和超高效液相色谱-高分辨率质谱(UHPLC-HRMS)的靶向暴露组学和非靶向脂质组学研究被用于表征MAFLD患者和健康受试者血清中的外源性化学污染物和内源性脂质代谢物。结果表明,氟虫腈砜、马拉硫磷二羧酸和邻苯二甲酸单环己酯可能与被诊断为单纯性脂肪肝患者(以下简称MAFLD(0))的疾病风险呈正相关。此外,氟虫腈砜、安赛蜜、全氟辛酸(PFOA)、全氟壬酸(PFNA)、全氟十一烷酸(PFUnDA)、4-羟基二苯甲酮和3,5-二叔丁基-4-羟基苯甲酸(DBPOB)可能与被诊断为合并单一或多种代谢紊乱的脂肪肝患者的疾病风险呈正相关。进行关联分析以探索化学残留物诱导的脂质代谢物。MAFLD和MAFLD(0)患者的甘油三酯(TG)和甘油二酯(DG)显著增加。显著变化的DG和TG的碳数主要分别在32-40和35-60范围内,且两者均主要以多不饱和脂质的变化为特征。大多数脂质效应标志物与化学残留物呈正相关,并与疾病风险增加有关。我们的研究为血清化学污染物残留与疾病结局之间的关联及机制研究提供了科学依据。