Li Wending, Wu Haotian, Goldsmith Jeff, Glabonjat Ronald A, Ilievski Vesna, Balac Olgica, Slavkovich Vesna, Pinto-Pacheco Brismar, Lin Xiangping, Parvez Faruque, Jackson Gabriela L, Siddique Abu B, Uddin Mohammad Nasir, Islam Tariqul, Martinez-Morata Irene, Navas-Acien Ana, Niedzwiecki Megan M, Kioumourtzoglou Marianthi-Anna, Pierce Brandon L, Graziano Joseph H, Bottiglieri Teodoro, Walker Douglas I, Gamble Mary V
Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States.
Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York 10032, United States.
Environ Sci Technol. 2025 Jul 29;59(29):14905-14916. doi: 10.1021/acs.est.5c01597. Epub 2025 Jul 16.
Arsenic exposure remains a leading public health concern. Folic acid (FA) supplementation enhances one-carbon metabolism (OCM), thus promoting arsenic methylation and facilitating urinary arsenic elimination. Here, we investigate the metabolic profiles linked to arsenic exposure and metabolism based on a FA clinical trial. Arsenic exposure was assessed by the concentrations of blood arsenic (bAs) species: arsenite [InAs], arsenate [InAs], monomethyl- [MMA], and dimethyl- [DMA] arsenicals. Arsenic metabolism was assessed by the relative distribution (%) of these arsenicals in urine. Nontargeted metabolomic profiling was analyzed by LC-HRMS. OCM-related metabolites were analyzed by HPLC/MS/MS. Metabolomic profiling identified 8 unique metabolites and 812 metabolomic features (FDR < 0.05) associated with bAs (predominantly As), and 66 metabolites and 285 metabolomic features with %uAs (predominantly %uInAs). Metabolic pathways enriched for bAs and %uAs were similar, highlighting phenylalanine, tyrosine, and tryptophan biosynthesis. A FA-induced %uInAs change was associated with four metabolites, three of which share links to acetyl-CoA metabolism. Of 11 measured OCM metabolites, cystathionine was positively associated with all bAs species. Methionine, S-adenosylmethionine, S-adenosylhomocysteine, cysteine, choline, betaine, and dimethylglycine were associated with increased As methylation profiles in urine (FDR < 0.05). Collectively, these findings may aid in the discovery of mechanisms underlying arsenic-induced health outcomes and potential targeted interventions. This trial was registered with clinicaltrials.gov: NCT01050556.
砷暴露仍然是一个主要的公共卫生问题。补充叶酸(FA)可增强一碳代谢(OCM),从而促进砷甲基化并促进尿砷排出。在此,我们基于一项FA临床试验研究与砷暴露和代谢相关的代谢谱。通过血液中砷(bAs)物种的浓度评估砷暴露:亚砷酸盐[InAs]、砷酸盐[InAs]、一甲基砷[MMA]和二甲基砷[DMA]。通过这些砷化合物在尿液中的相对分布(%)评估砷代谢。通过液相色谱-高分辨质谱(LC-HRMS)分析非靶向代谢组学谱。通过高效液相色谱/串联质谱(HPLC/MS/MS)分析与OCM相关的代谢物。代谢组学谱鉴定出8种独特的代谢物和812个与bAs(主要是As)相关的代谢组学特征(错误发现率<0.05),以及66种代谢物和285个与%uAs(主要是%uInAs)相关的代谢组学特征。bAs和%uAs富集的代谢途径相似,突出了苯丙氨酸、酪氨酸和色氨酸的生物合成。FA诱导的%uInAs变化与四种代谢物相关,其中三种与乙酰辅酶A代谢有关。在11种测得的OCM代谢物中,胱硫醚与所有bAs物种呈正相关。蛋氨酸、S-腺苷甲硫氨酸、S-腺苷高半胱氨酸、半胱氨酸、胆碱、甜菜碱和二甲基甘氨酸与尿中砷甲基化谱增加相关(错误发现率<0.05)。总体而言,这些发现可能有助于发现砷诱导健康结果的潜在机制和潜在的靶向干预措施。该试验已在clinicaltrials.gov注册:NCT01050556。