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 citas
Etiquetas de revisión
Cuestionario de frecuencia de consumoDatos neutrales que nuestra revisión registró sobre cómo se hizo este estudio. Describen el método, nunca si nos gusta el resultado.
Cómo se estudió
- Diseño
- Estudio de cohortes (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Eventos clínicos como enfermedad o muerte
- Consumo medido con
- Cuestionario de frecuencia de consumo
Quién lo pagó
- Financiación
- Financiación independiente
- Gobierno
- National Heart, Lung, and Blood Institute
- Gobierno
- National Institute of Diabetes and Digestive and Kidney Diseases
- Gobierno
- NIDDK NIH HHS
- Gobierno
- NHLBI NIH HHS
- Subvenciones
- National Heart, Lung, and Blood Institute (R01HL153178); National Institute of Diabetes and Digestive and Kidney Diseases (R03 DK128386)
Según 4 financiadores declarados.
Publicación
- Publicado
- 2023-01-13 · Clin J Am Soc Nephrol · vol. 18 · número 3 · págs. 327–336
- Editorial
- Lippincott Williams & Wilkins
- Citado
- 46 citas · más que el 99% de estudios similares · 12.9× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 41 trabajos
- Acceso
- Acceso abierto (copia en repositorio)
- Áreas de investigación
- Consumer Attitudes and Food Labeling · Nutritional Studies and Diet · Nutrition, Genetics, and Disease
- Palabras clave
- 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 autores
- Donghan Su🇺🇸 · autor de correspondenciaJohns Hopkins University
- Jingsha Chen🇺🇸Johns Hopkins University
- Shutong Du🇺🇸Johns Hopkins University
- Hyunju Kim🇺🇸Johns Hopkins University
- Bing Yu🇺🇸The University of Texas Health Science Center at Houston
- Kari E. Wong🇺🇸Metabolon (United States)
- Eric Boerwinkle🇺🇸The University of Texas Health Science Center at Houston
- Casey M. Rebholz🇺🇸 · autor de correspondenciaJohns Hopkins University
Resumen
El texto original del estudio, en el idioma en que se publicó.
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.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial.
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