Metabolomic Markers of Ultra-Processed Food and Incident CKD
Su D, Chen J, Du S, Kim H, Yu B, Wong KE, Boerwinkle E, Rebholz CM
Clinical journal of the American Society of Nephrology : CJASN · 42 citations
Review labels
Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.
How it was studied
- Design
- Cohort study (classified by our AI screen)
- Studied in
- People
- Main outcome
- Clinical events such as disease or death
- Intake measured by
- Food frequency questionnaire
Who paid for it
- Funding
- Independent funding
- Government
- National Heart, Lung, and Blood Institute
- Government
- National Institute of Diabetes and Digestive and Kidney Diseases
- Government
- NIDDK NIH HHS
- Government
- NHLBI NIH HHS
- Grants
- National Heart, Lung, and Blood Institute (R01HL153178); National Institute of Diabetes and Digestive and Kidney Diseases (R03 DK128386)
Based on 4 listed funder(s).
Publication
- Published
- 2023-01-13 · Clin J Am Soc Nephrol · vol. 18 · issue 3 · pp. 327–336
- Publisher
- Lippincott Williams & Wilkins
- Cited
- 46 citations · more than 99% of similar papers · 12.9× the field average
- Impact
- Top 10% most cited in its field
- References
- 41 works
- Access
- Open access (repository copy)
- Research areas
- Consumer Attitudes and Food Labeling · Nutritional Studies and Diet · Nutrition, Genetics, and Disease
- Keywords
- Medicine, Metabolomics, Biomarker, Food processing, Food science, Prospective cohort study, Internal medicine, Bioinformatics, Biology, Biochemistry
- MeSH
- humans, glucose, mannose, diet, energy intake, female, male, renal insufficiency, chronic, biomarkers, food, processed
8 authors
From US
- Donghan Su · correspondingJohns Hopkins University
- Jingsha ChenJohns Hopkins University
- Shutong DuJohns Hopkins University
- Hyunju KimJohns Hopkins University
- Bing YuThe University of Texas Health Science Center at Houston
- Kari E. WongMetabolon (United States)
Abstract
Background
High ultra-processed food consumption is associated with higher risk of CKD. However, there is no biomarker for ultra-processed food, and the mechanism through which ultra-processed food is associated with CKD is not clear. Metabolomics can provide objective biomarkers of ultra-processed food and provide important insights into the mechanisms by which ultra-processed food is associated with risk of incident CKD. Our objective was to identify serum metabolites associated with ultra-processed food consumption and investigate whether ultra-processed food-associated metabolites are prospectively associated with incident CKD.
Methods
We used data from 3751 Black and White men and women (aged 45-64 years) in the Atherosclerosis Risk in Communities study. Dietary intake was assessed using a semiquantitative 66-item food frequency questionnaire, and ultra-processed food was classified using the NOVA classification system. Multivariable linear regression models were used to identify the association between 359 metabolites and ultra-processed food consumption. Cox proportional hazards models were used to investigate the prospective association of ultra-processed food-associated metabolites with incident CKD.
Results
Twelve metabolites (saccharine, homostachydrine, stachydrine, N2, N2-dimethylguanosine, catechol sulfate, caffeine, 3-methyl-2-oxovalerate, theobromine, docosahexaenoate, glucose, mannose, and bradykinin) were significantly associated with ultra-processed food consumption after controlling for false discovery rate <0.05 and adjusting for sociodemographic factors, health behaviors, eGFR, and total energy intake. The 12 ultra-processed food-related metabolites significantly improved the prediction of ultra-processed food consumption (difference in C statistics: 0.069, P <1×10 -16 ). Higher levels of mannose, glucose, and N2, N2-dimethylguanosine were associated with higher risk of incident CKD after a median follow-up of 23 years.
Conclusions
We identified 12 serum metabolites associated with ultra-processed food consumption and three of them were positively associated with incident CKD. Mannose and N2, N2-dimethylguanosine are novel markers of CKD that may explain observed associations between ultra-processed food and CKD.
Podcast
This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_03_08_CJN08480722.mp3.
Abstract via Europe PMC. Copyright remains with the authors or publisher.
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