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Modeling Obesity-Associated Ovarian Dysfunction in Drosophila
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 macronutrient...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783805/ https://www.ncbi.nlm.nih.gov/pubmed/36558524 http://dx.doi.org/10.3390/nu14245365 |
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author | Liu, Huanju Li, Jiajun Chang, Xinyue He, Feng Ma, Jun |
author_facet | Liu, Huanju Li, Jiajun Chang, Xinyue He, Feng Ma, Jun |
author_sort | Liu, Huanju |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9783805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97838052022-12-24 Modeling Obesity-Associated Ovarian Dysfunction in Drosophila Liu, Huanju Li, Jiajun Chang, Xinyue He, Feng Ma, Jun Nutrients Article 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. MDPI 2022-12-16 /pmc/articles/PMC9783805/ /pubmed/36558524 http://dx.doi.org/10.3390/nu14245365 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Huanju Li, Jiajun Chang, Xinyue He, Feng Ma, Jun Modeling Obesity-Associated Ovarian Dysfunction in Drosophila |
title | Modeling Obesity-Associated Ovarian Dysfunction in Drosophila |
title_full | Modeling Obesity-Associated Ovarian Dysfunction in Drosophila |
title_fullStr | Modeling Obesity-Associated Ovarian Dysfunction in Drosophila |
title_full_unstemmed | Modeling Obesity-Associated Ovarian Dysfunction in Drosophila |
title_short | Modeling Obesity-Associated Ovarian Dysfunction in Drosophila |
title_sort | modeling obesity-associated ovarian dysfunction in drosophila |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783805/ https://www.ncbi.nlm.nih.gov/pubmed/36558524 http://dx.doi.org/10.3390/nu14245365 |
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