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Metabolomic Markers of Ultra-Processed Foods and Incident Central Nervous System (CNS): A Study on Biomarkers for Ultra-Processed Food Consumption and CNS Risk

Using metabolomics – a new way to measure thousands of metabolites in a cell – American researchers identified 12 serum metabolites associated with the consumption of ultra-processed foods. Of these, mannose, glucose, and N2,N2-dimethylguanosine were also found to be related to incident CNS.

Although a high intake of ultra-processed foods is known to be associated with a higher risk of CNS, the mechanism responsible for this is as yet unknown. There was also no known biomarker for ultra-processed food. The aim of this study was therefore to use metabolomics to identify objective biomarkers for ultra-processed food consumption and to investigate whether these are associated with the onset of CNS.

The researchers analyzed data on 3751 men and women aged 45-64 from the Atherosclerosis Risk in Communities study. Their food consumption was determined with a 66-item semi-quantitative food frequency questionnaire.

Using multivariable linear regression models, the researchers analyzed the association between 359 metabolites and consumption of ultra-processed foods. For 12 of these metabolites, this association was statistically significant, namely saccharin, homostachydrin, stachydrin, N2,N2-dimethylguanosine, catechol sulfate, caffeine, 3-methyl-2-oxovalerate, theobromine, docosahexaenoate, glucose, mannose, and bradykinin. The models were corrected for multiple testing and for socio-demographic factors, health behaviour, eGFR and total energy intake. The 12 metabolites found did indeed lead to a significantly better prediction of the consumption of ultra-processed food.

Moreover, after a median follow-up of 23 years, higher concentrations of mannose, glucose, and N2,N2-dimethylguanosine appeared to be associated with a higher risk of developing CNS. These novel CNS biomarkers may help explain the observed association between ultra-processed foods and CNS.

Bron:

Donghan S, Jingsha C, Shutong D, et al. Metabolomic Markers of Ultra-Processed Food and Incident CKD. Clin J Am Soc Nephrol 2023;18:327-36.

2023-08-11 16:52:58
#Biomarkers #relationship #ultraprocessed #food #chronic #kidney #damage #identified #MedNet

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