Discovery of urinary biomarkers of whole grain rye intake in free-living subjects using nontargeted LC-MS metabolite profiling

Hanhineva, Kati; Brunius, Carl; Andersson, Agneta; Marklund, Matti; Juvonen, Risto; Keski-Rahkonen, Pekka; Auriola, Seppo; Landberg, Rikard

doi:10.1002/mnfr.201500423

Sammanfattning

Scope: Whole grain (WG) intake is associated with decreased risk of developing colorectal cancer, type 2 diabetes, and cardiovascular disease and its comorbidities. However, the role of specific grains is unclear. Moreover, intake of specific WG is challenging to measure accurately with traditional dietary assessment methods. Our aim was to use nontargeted metabolite profiling to discover specific urinary biomarkers for WG rye to objectively reflect intake under free-living conditions.Methods and results: WG rye intake was estimated by weighed food records, and 24 h urine collections were analyzed by LC-MS. Multivariate modeling was undertaken by repeated double cross-validated partial least squares regression against reported WG rye intake, which correlated well with multivariate prediction estimates (r = 0.67-0.80, p < 0.001), but not with intakes of WG wheat or oats. Hydroxyhydroxyphenyl acetamide sulfate, 3,5-dihydroxyphenylpropionic acid sulfate, caffeic acid sulfate, and hydroxyphenyl acetamide sulfate were among the 20 features that had the greatest potential as intake biomarkers of WG. In addition, three compounds exhibited MS/MS fragmentation of carnitine structures.Conclusion: With this nontargeted approach, we confirmed the specificity of alkylresorcinol metabolites as biomarkers for WG rye intake, but also discovered other compounds that should be evaluated as putative biomarkers in future studies.

Nyckelord

Biomarker; Metabolite profiling; Metabolomics; Rye; Whole grain

Publicerad i

Molecular Nutrition and Food Research
2015, volym: 59, nummer: 11, sidor: 2315-2325
Utgivare: WILEY-BLACKWELL

SLU författare

Brunius, Carl
- Institutionen för molekylära vetenskaper, Sveriges lantbruksuniversitet
Marklund, Matti
- Uppsala universitet
Landberg, Rikard
- Institutionen för molekylära vetenskaper, Sveriges lantbruksuniversitet
- Karolinska institutet

Globala målen (SDG)

SDG3 God hälsa och välbefinnande

UKÄ forskningsämne

Folkhälsovetenskap, global hälsa och socialmedicin
Bioinformatik och beräkningsbiologi (Metodutveckling under 10203)
Epidemiologi

Publikationens identifierare

DOI: https://doi.org/10.1002/mnfr.201500423

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/71824