LC-MS/MS based profiling and dynamic modelling of the steroidogenesis pathway in adrenocarcinoma H295R cells

被引:17
作者
Ahmed, Kareem Eldin Mohammed [1 ]
Froysa, Havard G. [2 ]
Karlsen, Odd Andre [1 ]
Sagen, Jorn V. [3 ,4 ]
Mellgren, Gunnar [3 ,4 ]
Verhaegen, Steven [5 ]
Ropstad, Erik [5 ]
Goksoyr, Anders [1 ]
Kellmann, Ralf [3 ]
机构
[1] Univ Bergen, Dept Biol Sci, POB 7803, N-5020 Bergen, Norway
[2] Univ Bergen, Dept Math, POB 7803, N-5020 Bergen, Norway
[3] Haukeland Hosp, Hormone Lab, N-5021 Bergen, Norway
[4] Univ Bergen, Dept Clin Sci, POB 7804, N-5020 Bergen, Norway
[5] Norwegian Univ Life Sci NMBU, Dept Prod Anim Clin Sci, Fac Vet Med & Biosci, POB 8146, N-0033 Oslo, Norway
关键词
H295R human adrenocarcinoma cells; Steroidogenesis; LC-MS/MS method; Dynamical model; TANDEM MASS-SPECTROMETRY; STEROID-HORMONES; ANGIOTENSIN-II; ADRENAL-CORTEX; IN-VIVO; LINE; CHOLESTEROL; RECEPTOR; TESTOSTERONE; EXPRESSION;
D O I
10.1016/j.tiv.2018.07.002
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
Endocrine disrupting chemicals have been reported to exert effects directly on enzymes involved in steroid biosynthesis. Here, we present a new liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for profiling the steroid metabolome of H295R human adrenocarcinoma cells. Our method can simultaneously analyse 19 precursors, intermediates and end-products, representing the adrenal steroid biosynthesis pathway. In order to obtain better insights into the processes of steroidogenesis, we investigated the dose-response relationship of forskolin, an activator of adenylate cyclase, on steroid production in H295R cells. We observed that 1.5 mu M forskolin stimulated steroid production at approximately 50% of the maximum rate for most steroids. Hence, we studied the time course for steroid synthesis over 72 h in H295R cells that were stimulated with forskolin. At 24 h, we observed a peak in steroid levels for the intermediate metabolites, such as progesterone and pregnenolone, while end-products such as testosterone and cortisol continued to increase until 72 h. Finally, we show how global data provide a unique basis to develop a comprehensive, dynamic model for steroidogenesis using first order kinetics. The timeline data made it possible to estimate all reaction rate constants of the network. We propose this method as a unique and sensitive screening tool to identify effects on adrenal steroidogenesis by endocrine disrupting compounds.
引用
收藏
页码:332 / 341
页数:10
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