暴露于多环芳烃的三岁幼儿非目标代谢组谱的变化

Yang Li, Dan Lin, Xiu Qin Zhang, Guang Xiu Ju, Ya Su, Qian Zhang, Hai Ping Duan, Wei Sen Yu, Bing Ling Wang, Shu Tao Pang
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摘要

目的研究暴露于多环芳烃(PAHs)的儿童在大脑发育关键时期尿液代谢物谱的变化,并探讨其与肠道微生物群的潜在联系:方法:采用液相色谱-串联质谱法测定了 36 个月大儿童的 10 种多环芳烃羟基代谢物(OH-PAHs)。随后,根据十种 OH-PAHs 的总和将 37 名儿童分为低暴露组和高暴露组。采用超高效液相色谱法和四极杆飞行时间质谱法鉴定尿样中的非目标代谢物。此外,还利用 Illumina MiSeq 进行 16S rRNA 基因测序,评估粪便菌群的丰度:结果:高暴露组中 21 种代谢物的浓度明显高于低暴露组(投影的变量重要性 > 1,P < 0.05)。这些代谢物大多与萘、氟和菲的羟基代谢物呈正相关(r = 0.336-0.531)。已确定的差异代谢物主要属于与炎症或促炎状态相关的途径,包括氨基酸、脂质和核苷酸代谢。此外,这些不同的代谢物与特定的肠道菌群丰度(r = 0.34-0.55)显著相关,这些菌群主要参与神经发育:结论:幼儿接触较多的多环芳烃会影响代谢平衡,特别是某些肠道微生物群衍生代谢物的代谢平衡。多环芳烃对肠道微生物群的潜在影响及其与神经发育结果的可能关联还需要进一步研究。
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Changes in the Non-targeted Metabolomic Profile of Three-year-old Toddlers with Elevated Exposure to Polycyclic Aromatic Hydrocarbons.

Objective: To investigate changes in the urinary metabolite profiles of children exposed to polycyclic aromatic hydrocarbons (PAHs) during critical brain development and explore their potential link with the intestinal microbiota.

Methods: Liquid chromatography-tandem mass spectrometry was used to determine ten hydroxyl metabolites of PAHs (OH-PAHs) in 36-month-old children. Subsequently, 37 children were categorized into low- and high-exposure groups based on the sum of the ten OH-PAHs. Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used to identify non-targeted metabolites in the urine samples. Furthermore, fecal flora abundance was assessed by 16S rRNA gene sequencing using Illumina MiSeq.

Results: The concentrations of 21 metabolites were significantly higher in the high exposure group than in the low exposure group (variable importance for projection > 1, P < 0.05). Most of these metabolites were positively correlated with the hydroxyl metabolites of naphthalene, fluorine, and phenanthrene ( r = 0.336-0.531). The identified differential metabolites primarily belonged to pathways associated with inflammation or proinflammatory states, including amino acid, lipid, and nucleotide metabolism. Additionally, these distinct metabolites were significantly associated with specific intestinal flora abundances ( r = 0.34-0.55), which were mainly involved in neurodevelopment.

Conclusion: Higher PAH exposure in young children affected metabolic homeostasis, particularly that of certain gut microbiota-derived metabolites. Further investigation is needed to explore the potential influence of PAHs on the gut microbiota and their possible association with neurodevelopmental outcomes.

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