Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/5029
Title: Synergizing Mouse and Human Studies to Understand the Heterogeneity of Obesity
Authors: Gordon-Larsen, Penny
French, John E
Moustaid-Moussa, Naima
Voruganti, Venkata S
Mayer-Davis, Elizabeth J
Bizon, Christopher A
Cheng, Zhiyong
Stewart, Delisha A
Easterbrook, John W
Shaikh, Saame Raza
Keywords: heterogeneity
obesities
mouse
human
pre-clinical
clinical
prevention
treatment
nutrition
symposium
Issue Date: 2021
Publisher: Advances in Nutrition
Series/Report no.: Review;2023-2034
Abstract: Obesity is routinely considered as a single disease state, which drives a “one-size-fits-all”approach to treatment.We recently convened the first annual University of North Carolina Interdisciplinary Nutrition Sciences Symposium to discuss the heterogeneity of obesity and the need for translational science to advance understanding of this heterogeneity. The symposium aimed to advance scientific rigor in translational studies from animal to human models with the goal of identifying underlying mechanisms and treatments. In this review, we discuss fundamental gaps in knowledge of the heterogeneity of obesity ranging from cellular to population perspectives. We also advocate approaches to overcoming limitations in the field. Examples include the use of contemporary mouse genetic reference population models such as the Collaborative Cross and Diversity Outbred mice that effectively model human genetic diversity and the use of translational models that integrate -omics and computational approaches from preclinical to clinical models of obesity. Finally, we suggest best scientific practices to ensure strong rigor that will allow investigators to delineate the sources of heterogeneity in the population with obesity. Collectively,we propose that it is critical to think of obesity as a heterogeneous diseasewith complex mechanisms and etiologies, requiring unique prevention and treatment strategies tailored to the individual
URI: http://localhost:8080/xmlui/handle/123456789/5029
Appears in Collections:VOL 12 NO 5 (2021)

Files in This Item:
File Description SizeFormat 
2023-2034.pdf263.36 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.