School of Pharmacy, China Medical University, Taichung 404, Taiwan.
Free Radic Biol Med. 2011 Nov 1;51(9):1823-9. doi: 10.1016/j.freeradbiomed.2011.08.012. Epub 2011 Aug 23.
A highly sensitive quantitative LC-MS/MS method was developed for measuring urinary malondialdehyde (MDA). With the use of an isotope internal standard and online solid-phase extraction, urine samples can be directly analyzed within 10 min after 2,4-dinitrophenylhydrazine (DNPH) derivatization. The detection limit was estimated as 0.08 pmol. This method was further applied to assess the optimal addition of DNPH for derivatization and to measure urinary MDA in 80 coke oven emission (COE)-exposed and 67 nonexposed workers. Derivatization optimization revealed that to achieve complete derivatization reaction, an excess of DNPH is required (DNPH/MDA molar ratio: 893-8929) for urine samples that is about 100 times higher than that of MDA standard solutions (molar ratio: 10-80). Meanwhile, the mean urinary concentrations of MDA in COE-exposed workers were significantly higher than those in nonexposed workers (0.23±0.17 vs 0.14±0.05 μmol/mmol creatinine, P<0.005). Urinary MDA concentrations were also significantly associated with the COE (P<0.005) and smoking exposure (P<0.05). Taken together, this method is capable of routine high-throughput analysis and accurate quantification of MDA and would be useful for assessing the whole-body burden of oxidative stress. Our findings, however, raise the issue that derivatization optimization should be performed before it is put into routine biological analysis.
建立了一种用于测量尿丙二醛(MDA)的高灵敏度定量 LC-MS/MS 方法。采用同位素内标和在线固相萃取,在 2,4-二硝基苯肼(DNPH)衍生化后 10 分钟内即可直接分析尿样。检测限估计为 0.08 pmol。该方法进一步用于评估 DNPH 衍生化的最佳添加量,并测量 80 名焦炉逸散物(COE)暴露和 67 名非暴露工人的尿 MDA。衍生化优化表明,为了实现完全的衍生化反应,需要过量的 DNPH(DNPH/MDA 摩尔比:893-8929)用于尿样,这大约是 MDA 标准溶液(摩尔比:10-80)的 100 倍以上。同时,COE 暴露工人的尿 MDA 平均浓度明显高于非暴露工人(0.23±0.17 对 0.14±0.05 μmol/mmol 肌酐,P<0.005)。尿 MDA 浓度与 COE(P<0.005)和吸烟暴露(P<0.05)也显著相关。总的来说,该方法能够进行常规高通量分析和 MDA 的准确定量,对于评估全身氧化应激负担将非常有用。然而,我们的研究结果提出了一个问题,即在将其纳入常规生物分析之前,应该进行衍生化优化。