TY - JOUR
T1 - Metabolic profiles of ultra-processed food consumption and their role in obesity risk in British children
AU - Handakas, Evangelos
AU - Chang, Kiara
AU - Khandpur, Neha
AU - Vamos, Eszter P.
AU - Millett, Christopher
AU - Sassi, Franco
AU - Vineis, Paolo
AU - Robinson, Oliver
N1 - Funding Information:
This study was supported by the postdoctoral fellowship 2016/25853-4DN from Fundação de Amparo à Pesquisa do Estado de São Paulo (NK) .
Funding Information:
This study was supported by grant 217065/Z/19/Z from the UK Medical Research Council and Wellcome Trust and the University of Bristol (core support for the Avon Longitudinal Study of Parents and Children [ALSPAC]);
Funding Information:
This study was supported by the STOP project, which received grant 774548 from the European Union's Horizon 2020 research and innovation program. OR was supported by a UKRI Future Leaders Fellowship (MR/S03532X/1). CM and EV are funded by the National Institute for Health and Care Research School for Public Health Research, Grant Reference Number PD-SPH-2015. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. This study was supported by the postdoctoral fellowship 2016/25853-4DN from Fundação de Amparo à Pesquisa do Estado de São Paulo (NK). This study was supported by grant 217065/Z/19/Z from the UK Medical Research Council and Wellcome Trust and the University of Bristol (core support for the Avon Longitudinal Study of Parents and Children [ALSPAC]);, The collection of primary exposure and outcomes data in ALSPAC that were evaluated in this study were supported by grants 076467/Z/05/Z, 086676/Z/08/Z, 086684, 092731 and MC_UU_12013/1 from MRC, grant from Wellcome Trust, grants 5R01HL071248- 07, R01 DK077659 from NIH, grant from British Heart Foundation. A comprehensive list of grant funding is available on the ALSPAC website (http://www.bristol.ac.uk/alspac/external/documents/grantacknowledgements. pdf).
Funding Information:
CM and EV are funded by the National Institute for Health and Care Research School for Public Health Research , Grant Reference Number PD-SPH-2015 . The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.
Funding Information:
This study was supported by the STOP project , which received grant 774548 from the European Union's Horizon 2020 research and innovation program .
Funding Information:
The collection of primary exposure and outcomes data in ALSPAC that were evaluated in this study were supported by grants 076467/Z/05/Z , 086676/Z/08/Z , 086684 , 092731 and MC_UU_12013/1 from MRC , grant from Wellcome Trust , grants 5R01HL071248- 07 , R01 DK077659 from NIH , grant from British Heart Foundation .
Funding Information:
OR was supported by a UKRI Future Leaders Fellowship ( MR/S03532X/1 ).
Publisher Copyright:
© 2022 The Authors
PY - 2022/11
Y1 - 2022/11
N2 - 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.
AB - 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.
KW - ALSPAC
KW - Body mass index
KW - Childhood
KW - Diet nutrients
KW - Metabolomics
KW - Ultra processed food
UR - http://www.scopus.com/inward/record.url?scp=85139433850&partnerID=8YFLogxK
U2 - 10.1016/j.clnu.2022.09.002
DO - 10.1016/j.clnu.2022.09.002
M3 - Article
C2 - 36223715
AN - SCOPUS:85139433850
SN - 0261-5614
VL - 41
SP - 2537
EP - 2548
JO - CLINICAL NUTRITION
JF - CLINICAL NUTRITION
IS - 11
ER -