Changes in the metabolic signature and biomarkers associated with the intake of whole-grain wheat and whole-grain rye in a dose-response dietary intervention study

DOI

Epidemiological studies have shown associations between whole-grain intake and lowered disease risk. A sufficient level of whole-grain intake to reach the health benefits has not been established, and there is limited knowledge about the impact of whole-grain intake on metabolite levels. In this clinical intervention study, we aimed to identify plasma and urine metabolites associated with two different intake levels of whole-grain wheat and rye and to correlate them with clinical plasma biomarkers. Healthy volunteers (N = 68) were divided into two groups receiving either whole-grain wheat or whole-grain rye in two four-week interventions with 48 and 96 g/d of whole grains consumed. The metabolomics of the plasma samples was performed with UPLC–QTOF-MS. Plasma alkylresorcinols were quantified with GC-MS and plasma and urinary mammalian lignans with HPLC-ECD. The high-dose intervention impacted the metabolite profile, including microbial metabolites, more in the rye-enriched diet compared with wheat. Among the increased metabolites were alkylresorcinol glucuronides, sinapyl alcohol, and pipecolic acid betaine, while the decreased metabolites included acylcarnitines and ether lipids. Plasma alkylresorcinols, urinary enterolactone, and total mammalian lignans reflected the study diets in a dose-dependent manner. Several key metabolites linked with whole-grain consumption and gut microbial metabolism increased in a linear manner between the two interventions. The results reveal that an increase in whole-grain intake, particularly rye, is strongly reflected in the metabolite profile, is correlated with clinical variables, and suggests that a diet rich in whole grains promotes the growth and/or metabolism of microbes producing potentially beneficial microbial metabolites.

The raw data file includes the untargeted LC-MS data as a peak area table with drift-corrected signal abundances, identifications, and statistical results.

Identifier
DOI https://doi.org/10.23728/b2share.66c289b7af8f4b96bafdc906e17ce9eb
Source https://b2share.eudat.eu/records/66c289b7af8f4b96bafdc906e17ce9eb
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/66c289b7af8f4b96bafdc906e17ce9eb
Provenance
Creator Koistinen, Ville; Haldar, Sumanto; Tuomainen, Marjo; Lehtonen, Marko; Klåvus, Anton; Draper, John; Lloyd, Amanda; Beckmann, Manfred; Bal, wendy; Ross, Alastair B; Brandt, Kirsten; Fawcett, Lee; Seal, Chris; Hanhineva, Kati
Publisher EUDAT B2SHARE
Publication Year 2023
Rights Creative Commons Attribution-ShareAlike (CC-BY-SA); info:eu-repo/semantics/openAccess
OpenAccess true
Contact ville.koistinen(at)utu.fi
Representation
Format xlsx
Size 30.0 MB; 1 file
Discipline 3.1.3 → Biology → Biochemistry; 5.13.7 → Medicine → Nutrition