Modeling Obesity-Associated Ovarian Dysfunction in Drosophila

被引:9
作者
Liu, Huanju [1 ,2 ,3 ]
Li, Jiajun [4 ]
Chang, Xinyue [1 ,2 ,3 ]
He, Feng [1 ,2 ,3 ]
Ma, Jun [1 ,2 ,3 ,5 ,6 ]
机构
[1] Zhejiang Univ Sch Med, Womens Hosp, Hangzhou 310058, Peoples R China
[2] Zhejiang Univ Sch Med, Inst Genet, Hangzhou 310058, Peoples R China
[3] Zhejiang Prov Key Lab Genet & Dev Disorder, Hangzhou 310058, Peoples R China
[4] Zhejiang Univ, ZJU UOE Inst, Sch Med, Haining 314400, Peoples R China
[5] Womens Reprod Hlth Res Lab Zhejiang Prov, Hangzhou 310006, Peoples R China
[6] Zhejiang Univ, Univ Toronto Joint Inst Genet & Genome Med, Hangzhou 310058, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
obesity; ovarian dysfunction; insulin resistance; central composite design; Drosophila; animal model; NERVE GROWTH-FACTOR; REVISED; 2003; CONSENSUS; INSULIN-RESISTANCE; DIAGNOSTIC-CRITERIA; LIFE-SPAN; REPRODUCTION; INSIGHTS; OOCYTE; WOMEN; MICE;
D O I
10.3390/nu14245365
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
We perform quantitative studies to investigate the effect of high-calorie diet on Drosophila oogenesis. We use the central composite design (CCD) method to obtain quadratic regression models of body fat and fertility as a function of the concentrations of protein and sucrose, two major macronutrients in Drosophila diet, and treatment duration. Our results reveal complex interactions between sucrose and protein in impacting body fat and fertility when they are considered as an integrated physiological response. We verify the utility of our quantitative modeling approach by experimentally confirming the physiological responses-including increased body fat, reduced fertility, and ovarian insulin insensitivity-expected of a treatment condition identified by our modeling method. Under this treatment condition, we uncover a Drosophila oogenesis phenotype that exhibits an accumulation of immature oocytes and a halt in the production of mature oocytes, a phenotype that bears resemblance to key aspects of the human condition of polycystic ovary syndrome (PCOS). Our analysis of the dynamic progression of different aspects of diet-induced pathophysiology also suggests an order of the onset timing for obesity, ovarian dysfunction, and insulin resistance. Thus, our study documents the utility of quantitative modeling approaches toward understanding the biology of Drosophila female reproduction, in relation to diet-induced obesity and type II diabetes, serving as a potential disease model for human ovarian dysfunction.
引用
收藏
页数:17
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