Quantitative analyses of adiposity dynamics in zebrafish
| Autor: | Loes M.H. Elemans, Iris Pruñonosa Cervera, Susanna E. Riley, Rebecca Wafer, Rosalyn Fong, Panna Tandon, James E.N. Minchin |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Adipocyte, Vol 8, Iss 1, Pp 330-338 (2019) |
| Druh dokumentu: | article |
| ISSN: | 2162-3945 2162-397X 21623945 |
| DOI: | 10.1080/21623945.2019.1648175 |
| Popis: | Adipose tissues often exhibit subtle, quantitative differences between individuals, leading to a graded series of adiposity phenotypes at the population level. Robust, quantitative analyses are vital for studying these differences. In this Commentary we highlight two articles from our lab that employ sensitive new methods in zebrafish capable of delineating complex and quantitative adiposity phenotypes. In the first article, we utilized in vivo imaging to systematically quantify zebrafish adipose tissues. We identified 34 regionally distinct zebrafish adipose tissues and developed statistical models to predict the size and variance of each adipose tissue over the course of zebrafish growth. We then employed these models to identify effects of strain and diet on adipose tissue growth. In the second article, we employed deep phenotyping to study complex disease-related adiposity traits. Using this methodology, we identified that adipose tissues have unique capacities to re-deposit lipid following food restriction and re-feeding. These distinct re-deposition potentials led to widespread fat distribution changes following re-feeding. We discuss how these novel findings may provide relevance to health conditions such as anorexia nervosa. Together, the strategies described in these two articles can be used as unbiased and quantitative methods to uncover new relationships between genotype, diet and adiposity. |
| Databáze: | Directory of Open Access Journals |
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