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~1H NMR metabolic profiling analysis offers evaluation of Nilestriol treatment in ovariectomised rats

机译:〜1H NMR代谢谱分析可评估去甲去势大鼠中尼三醇的治疗

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Nilestriol (NIL) has been applied to treat menopausal dysfunctions, yet its mechanism has remained unknown. To understand the relationship between the changes in homeostatic metabolites and ovarian oestrogen deficiency syndromes after NIL treatment, proton Nuclear Magnetic Resonance (~1H NMR)-based metabonomic technologies were used to analyse a rat model of oestrogen deficiency. An orthogonal partial least-squares regression (OPLS) differentiation model was used on 12-week metabolic analyses of ovariectomised (OVX) rats treated or mock treated with NIL. Furthermore, data analysis using Chenomx software quantified results to identify the most significantly altered metabolite concentrations, allowing for metabolic explanations of the effects of NIL therapies. In this study, PLS results revealed that there are considerably distinct differences between treatment groups. Additionally, a total of 45 metabolites shown to have a high variation between groups were selected for target quantification. Using a one-way LSD ANOVA analysis, 32 metabolite concentrations were significantly altered in the OVX group. A total of 21 metabolites were altered significantly in the NIL-treatment group but later returned to normal. According to the OPLS VIP calculation, the metabolites most affected by NIL treatment were mostly involved in insulin resistance. In addition, abnormal concentration changes in lactate in the NIL-treatment group and 3-indoxylsulfate in the OVX group were observed. To our knowledge, this study is the first to address the molecular mechanism of NIL from a metabonomic perspective, and, more specifically, to establish a catalogue of endo-molecular changes effected by NIL in the regulation of oestrogen deficiency disorder.
机译:Nilestriol(NIL)已被用于治疗更年期功能障碍,但其机制仍不清楚。为了了解NIL治疗后体内稳态代谢物的变化与卵巢雌激素缺乏综合征之间的关系,基于质子核磁共振(〜1H NMR)的代谢组学技术用于分析雌激素缺乏的大鼠模型。正交偏最小二乘回归(OPLS)分化模型用于经NIL治疗或模拟治疗的卵巢切除(OVX)大鼠的12周代谢分析。此外,使用Chenomx软件进行的数据分析可对结果进行量化,以鉴定出最显着改变的代谢物浓度,从而可以对NIL治疗的效果进行代谢性解释。在这项研究中,PLS结果显示治疗组之间存在相当明显的差异。此外,总共选择了45种代谢物,这些代谢物在组之间具有较高的变异性,用于目标定量。使用单向LSD ANOVA分析,OVX组中32种代谢物的浓度发生了显着变化。在NIL治疗组中,共有21种代谢物发生了显着变化,但随后恢复了正常。根据OPLS VIP计算,受NIL治疗影响最大的代谢物主要涉及胰岛素抵抗。另外,在NIL治疗组中观察到乳酸浓度异常变化,在OVX组中观察到3-吲哚基硫酸盐浓度变化异常。就我们所知,这项研究是第一个从代谢组学的角度探讨NIL分子机制的研究,更具体地说,是建立了由NIL影响雌激素缺乏症调节的分子内变化的目录。

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