Metabolic profiles of ultra-processed food consumption and their role in obesity risk in British children

Author(s)

Handakas, Evangelos ; Chang, Kiara ; Khandpur, Neha ; Vamos, Eszter P. ; Millett, Christopher ; Sassi, Franco ; Vineis, Paolo ; Robinson, Oliver

• Document type: Journal article
• Source: Clinical Nutrition; v. 41, n. 11, p. 12-pg., 2022-10-09.

Abstract

Background & aims: Higher consumption of ultra-processed foods (UPF) has been associated with childhood obesity, but underlying mechanisms remain unclear. We investigated plasma nuclear magnetic resonance metabolic profiles of higher UPF consumption and their role in obesity risk in the British ALSPAC cohort. Methods: We performed cross-sectional and prospective metabolome wide association analyses of UPF, calculated from food diaries using the NOVA classification. In cross-sectional analysis, we tested the association between UPF consumption and metabolic profile at 7 years (N = 4528), and in the prospective analysis we tested the association between UPF consumption at 13 years and metabolic profile at 17 years (N = 3086). Effects of UPF-associated metabolites at 7 years on subsequent fat mass accumulation were assessed using growth curve models. Results: At 7 years, UPF was associated with 115 metabolic traits including lower levels of branched-chain and aromatic amino acids and higher levels of citrate, glutamine, and monounsaturated fatty acids, which were also associated with greater fat mass accumulation. Reported intake of nutrients mediated associations with most metabolites, except for citrate. Conclusions: UPF consumption among British children is associated with perturbation of multiple metabolic traits, many of which contribute to child obesity risk. (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). (AU)

• FAPESP's process: 16/25853-4 - Consumption of ultra-processed foods, dietary profile and obesity among U.S. children and adolescents
• Grantee: Daniela Neri Gama de Almeida
• Support Opportunities: Scholarships in Brazil - Post-Doctoral