Metabolome biomarkers linking dietary fibre intake with cardiometabolic effects: results from the Danish Diet, Cancer and Health-Next Generations MAX study.
Andrea Unión-CaballeroTomás MeroñoRaúl Zamora-RosAgnetha Linn Rostgaard-HansenAntonio MiñarroAlex Sánchez-PlaNúria Estanyol-TorresMiriam Martínez-HuelamoMarta CubedoRaúl González-DomínguezAnne TjønnelandGabrielle RiccardiRikard LandbergJytte HalkjærCristina Andrés-LacuevaPublished in: Food & function (2024)
Biomarkers associated with dietary fibre intake, as complements to traditional dietary assessment tools, may improve the understanding of its role in human health. Our aim was to discover metabolite biomarkers related to dietary fibre intake and investigate their association with cardiometabolic risk factors. We used data and samples from the Danish Diet Cancer and Health Next Generation (DCH-NG) MAX-study, a one-year observational study with evaluations at baseline, six and 12 months ( n = 624, 55% female, mean age: 43 years, 1353 observations). Direct associations between fibre intake and plasma concentrations of 2,6-dihydroxybenzoic acid (2,6-DHBA) and indolepropionic acid were observed at the three time-points. Both metabolites showed an intraclass-correlation coefficient (ICC) > 0.50 and were associated with the self-reported intake of wholegrain cereals, and of fruits and vegetables, respectively. Other metabolites associated with dietary fibre intake were linolenoyl carnitine, 2-aminophenol, 3,4-DHBA, and proline betaine. Based on the metabolites associated with dietary fibre intake we calculated predicted values of fibre intake using a multivariate, machine-learning algorithm. Metabolomics-based predicted fibre, but not self-reported fibre values, showed negative associations with cardiometabolic risk factors ( i.e. high sensitivity C-reactive protein, systolic and diastolic blood pressure, all FDR-adjusted p -values <0.05). Furthermore, different correlations with gut microbiota composition were observed. In conclusion, 2,6-DHBA and indolepropionic acid in plasma may better link dietary fibre intake with its metabolic effects than self-reported values. These metabolites may represent a novel class of biomarkers reflecting both dietary exposure and host and/or gut microbiota characteristics providing a read-out that is differentially related to cardiometabolic risk.
Keyphrases
- blood pressure
- risk factors
- machine learning
- human health
- weight gain
- healthcare
- ms ms
- public health
- risk assessment
- mental health
- heart failure
- mass spectrometry
- magnetic resonance
- computed tomography
- atrial fibrillation
- metabolic syndrome
- health information
- deep learning
- type diabetes
- squamous cell carcinoma
- weight loss
- artificial intelligence
- big data
- drinking water
- hypertensive patients
- data analysis
- insulin resistance
- health risk assessment
- health promotion