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Quantitative analyses of adiposity dynamics in zebrafish
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 emplo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768273/ https://www.ncbi.nlm.nih.gov/pubmed/31411107 http://dx.doi.org/10.1080/21623945.2019.1648175 |
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author | Elemans, Loes M.H. Cervera, Iris Pruñonosa Riley, Susanna E. Wafer, Rebecca Fong, Rosalyn Tandon, Panna Minchin, James E.N. |
author_facet | Elemans, Loes M.H. Cervera, Iris Pruñonosa Riley, Susanna E. Wafer, Rebecca Fong, Rosalyn Tandon, Panna Minchin, James E.N. |
author_sort | Elemans, Loes M.H. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6768273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-67682732019-10-09 Quantitative analyses of adiposity dynamics in zebrafish Elemans, Loes M.H. Cervera, Iris Pruñonosa Riley, Susanna E. Wafer, Rebecca Fong, Rosalyn Tandon, Panna Minchin, James E.N. Adipocyte Commentary 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. Taylor & Francis 2019-08-14 /pmc/articles/PMC6768273/ /pubmed/31411107 http://dx.doi.org/10.1080/21623945.2019.1648175 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Commentary Elemans, Loes M.H. Cervera, Iris Pruñonosa Riley, Susanna E. Wafer, Rebecca Fong, Rosalyn Tandon, Panna Minchin, James E.N. Quantitative analyses of adiposity dynamics in zebrafish |
title | Quantitative analyses of adiposity dynamics in zebrafish |
title_full | Quantitative analyses of adiposity dynamics in zebrafish |
title_fullStr | Quantitative analyses of adiposity dynamics in zebrafish |
title_full_unstemmed | Quantitative analyses of adiposity dynamics in zebrafish |
title_short | Quantitative analyses of adiposity dynamics in zebrafish |
title_sort | quantitative analyses of adiposity dynamics in zebrafish |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768273/ https://www.ncbi.nlm.nih.gov/pubmed/31411107 http://dx.doi.org/10.1080/21623945.2019.1648175 |
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