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Integrative phenotyping of glycemic responders upon clinical weight loss using multi-omics

Authors

 

Armand Valsesia, Anirikh Chakrabarti, Jörg Hager, Dominique Langin, Wim H. M. Saris, Arne Astrup, Ellen E. Blaak, Nathalie Viguerie & Mojgan Masoodi 

 

Abstract

 

Weight loss aims to improve glycemic control in obese but strong variability is observed. Using a multiomics approach, we investigated differences between 174 responders and 201 non-responders, that had lost >8% body weight following a low-caloric diet (LCD, 800 kcal/d for 8 weeks). These findings are useful for clinical practice to better characterize non-responders both prior and during weight loss. 

 

In this study, a multiomic analysis is used to determine the possible causes why after losing 8% or more of their body mass, there are people with obesity who show an improvement in their glycemic indexes and others who do not. These variables can be used to identify these people prior to any intervention.

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