Department of Epidemiology, University of Washington, Seattle, WA, United States.
Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States.
Front Public Health. 2021 May 20;9:666787. doi: 10.3389/fpubh.2021.666787. eCollection 2021.
Despite the widespread use of manganese (Mn) in industrial settings and its association with adverse neurological outcomes, a validated and reliable biomarker for Mn exposure is still elusive. Here, we utilize targeted metabolomics to investigate metabolic differences between Mn-exposed and -unexposed workers, which could inform a putative biomarker for Mn and lead to increased understanding of Mn toxicity. End of shift spot urine samples collected from Mn exposed ( = 17) and unexposed ( = 15) workers underwent a targeted assay of 362 metabolites using LC-MS/MS; 224 were quantified and retained for analysis. Differences in metabolite abundances between exposed and unexposed workers were tested with a Benjamini-Hochberg adjusted Wilcoxon Rank-Sum test. We explored perturbed pathways related to exposure using a pathway analysis. Seven metabolites were significantly differentially abundant between exposed and unexposed workers (FDR ≤ 0.1), including n-isobutyrylglycine, cholic acid, anserine, beta-alanine, methionine, n-isovalerylglycine, and threonine. Three pathways were significantly perturbed in exposed workers and had an impact score >0.5: beta-alanine metabolism, histidine metabolism, and glycine, serine, and threonine metabolism. This is one of few studies utilizing targeted metabolomics to explore differences between Mn-exposed and -unexposed workers. Metabolite and pathway analysis showed amino acid metabolism was perturbed in these Mn-exposed workers. Amino acids have also been shown to be perturbed in other occupational cohorts exposed to Mn. Additional research is needed to characterize the biological importance of amino acids in the Mn exposure-disease continuum, and to determine how to appropriately utilize and interpret metabolomics data collected from occupational cohorts.
尽管锰(Mn)在工业环境中被广泛应用,并且与不良神经结局有关,但仍然缺乏一种经过验证和可靠的 Mn 暴露生物标志物。在这里,我们利用靶向代谢组学来研究 Mn 暴露和未暴露工人之间的代谢差异,这可能为 Mn 提供一个潜在的生物标志物,并导致对 Mn 毒性的理解增加。采集了 Mn 暴露(n = 17)和未暴露(n = 15)工人的班末尿样,使用 LC-MS/MS 进行了 362 种代谢物的靶向分析;定量并保留了 224 种代谢物用于分析。使用 Benjamini-Hochberg 调整的 Wilcoxon 秩和检验测试了暴露和未暴露工人之间代谢物丰度的差异。我们使用途径分析探索了与暴露相关的失调途径。暴露和未暴露工人之间有 7 种代谢物的丰度差异显著(FDR ≤ 0.1),包括 n-异丁酰基甘氨酸、胆酸、鹅肌肽、β-丙氨酸、蛋氨酸、n-异戊酰基甘氨酸和苏氨酸。暴露工人中有 3 条途径显著失调,影响评分 >0.5:β-丙氨酸代谢、组氨酸代谢和甘氨酸、丝氨酸和苏氨酸代谢。这是利用靶向代谢组学探索 Mn 暴露和未暴露工人之间差异的少数研究之一。代谢物和途径分析表明,这些 Mn 暴露工人的氨基酸代谢受到干扰。其他职业队列暴露于 Mn 时也显示出氨基酸受到干扰。需要进一步研究来描述氨基酸在 Mn 暴露-疾病连续体中的生物学重要性,并确定如何适当利用和解释从职业队列中收集的代谢组学数据。