A serum metabolomics‐driven approach predicts orange juice consumption and its impact on oxidative stress and inflammation in subjects from the BIONAOS study

Rangel-Huerta, Óscar Daniel; Aguilera, Concepción M.; Perez-de-la-Cruz, Antonio J; Vallejo, Fernando; Tomás-Barberán, Francisco A.; Gil, Ángel; Mesa, María Dolores

doi:10.1002/mnfr.201600120

Cited by 34 publications

(20 citation statements)

References 46 publications

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“…It can serve as an osmoprotective compound for the kidneys and has been shown recently to exert anti-inflammatory and anti-oxidative stress effects in animal models [ 22 ]. There was a partial correlation revealed by GGM sub-networks between stachydrine and methyl glucopyranoside (alpha/beta), also elevated in athletics, suggesting a similar source, perhaps orange juice as previously shown [ 23 ]. Other compounds elevated in athletics included 2, 3-Dihydroxy-isovalerate, a substrate of dihydroxyacid dehydratase known to be sensitive to nitric oxide [ 24 ] and 4-hydroxyhippurate, a microbial end-product derived from polyphenol metabolism by the microflora in the intestine.…”

Section: Discussionsupporting

confidence: 66%

Metabolomics profiling of xenobiotics in elite athletes: relevance to supplement consumption

Al-Khelaifi

Diboun

Donati

et al. 2018

Journal of the International Society of Sports Nutrition

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BackgroundSupplements are widely used among elite athletes to maintain health and improve performance. Despite multiple studies investigating use of dietary supplements by athletes, a comprehensive profiling of serum supplement metabolites in elite athletes is still lacking. This study aims to analyze the presence of various xenobiotics in serum samples from elite athletes of different sports, focusing on metabolites that potentially originate from nutritional supplements.MethodsProfiling of xenobiotics in serum samples from 478 elite athletes from different sports (football, athletics, cycling, rugby, swimming, boxing and rowing) was performed using non-targeted metabolomics-based mass spectroscopy combined with ultrahigh-performance liquid chromatography. Multivariate analysis was performed using orthogonal partial least squares discriminant analysis. Differences in metabolic levels among different sport groups were identified by univariate linear models.ResultsOut of the 102 detected xenobiotics, 21 were significantly different among sport groups including metabolites that potentially prolong exercise tolerance (caffeic acid), carry a nootropic effect (2-pyrrolidinone), exert a potent anti-oxidant effect (eugenol, ferulic acid 4 sulfate, thioproline, retinol), or originate from drugs for different types of injuries (ectoine, quinate). Using Gaussian graphical modelling, a metabolic network that links various sport group-associated xenobiotics was constructed to further understand their metabolic pathways.ConclusionsThis pilot data provides evidence that athletes from different sports exhibit a distinct xenobiotic profile that may reflect their drug/supplement use, diet and exposure to various chemicals. Because of limitation in the study design, replication studies are warranted to confirm results in independent data sets, aiming ultimately for better assessment of dietary supplement use by athletes.

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Section: Discussionsupporting

confidence: 66%

Metabolomics profiling of xenobiotics in elite athletes: relevance to supplement consumption

Al-Khelaifi

Diboun

Donati

et al. 2018

Journal of the International Society of Sports Nutrition

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“…3-hydroxy-hippuric acid; iberin N-acetyl-cysteine [29] Fruit Apples and pears Urine Phloretin [35,36]; rhamnitol [34] Citrus Urine Proline betaine; limonene 8,9-diol glucuronide; nootkatone 13,14-diol glucuronide; hesperetin 3 -O-glucuronide; hydroxyproline betaine; N-methyltyramine sulfate; naringenin 7-O-glucuronide; stachydrine; scyllo-and chiro-inositol [28,30,[35][36][37][38][39][40] Orange juice Urine N-methyl proline; methyl glucopyranoside (α+β); stachydrine; betonicine; N-acetyl putrescine; dihydroferulic acid [41] The identification of food biomarkers is an ongoing process; a consensus has not been reached as to which metabolites would be the most adequate biomarkers for different types of foods. Moreover, some metabolites are markers of categories of food, not being able to discriminate between the exact types of foods being analyzed (1-methylhistidine and 3-methylhistidine are found in meat and are not useful in discriminating between types of meat).…”

Section: Type Of Food Sample Type Candidate Biomarker Metabolitementioning

confidence: 99%

Circulating Pro- and Anti-Inflammatory Metabolites and Its Potential Role in Rheumatoid Arthritis Pathogenesis

Coras

Murillo-Saich

Gumá

2020

Cells

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Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease that affects synovial joints, leading to inflammation, joint destruction, loss of function, and disability. Although recent pharmaceutical advances have improved the treatment of RA, patients often inquire about dietary interventions to improve RA symptoms, as they perceive pain and/or swelling after the consumption or avoidance of certain foods. There is evidence that some foods have pro- or anti-inflammatory effects mediated by diet-related metabolites. In addition, recent literature has shown a link between diet-related metabolites and microbiome changes, since the gut microbiome is involved in the metabolism of some dietary ingredients. But diet and the gut microbiome are not the only factors linked to circulating pro- and anti-inflammatory metabolites. Other factors including smoking, associated comorbidities, and therapeutic drugs might also modify the circulating metabolomic profile and play a role in RA pathogenesis. This article summarizes what is known about circulating pro- and anti-inflammatory metabolites in RA. It also emphasizes factors that might be involved in their circulating concentrations and diet-related metabolites with a beneficial effect in RA.

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“…In this approach, stepwise logistic regression analysis was used to include more than one metabolite in biomarker panels and regressed against dietary data to identify MBPs. Other research groups also applied regression analysis for addressing this issue (Jin et al, 2014;McGrath et al, 2016 ;Neuhouser, Patterson, King, Horner, & Lampe, 2003), whereas, more recently, other multivariate statistical strategies such as PCA, PLS, random forest and support vector machine algorithms have also been used to build MBPs for assessing the consumption of different foods or dietary patterns (Andersen et al, 2014;Gibbons et al, 2015;Marklund et al, 2014;O'Gorman et al, 2014;Rangel-Huerta et al, 2017 ;Rothwell et al, 2014). These multivariate methods may be of interest in terms of the further discovery of dietary exposure biomarkers.…”

Section: Multi-metabolite Biomarker Modelsmentioning

confidence: 99%

Novel strategies for improving dietary exposure assessment: Multiple-data fusion is a more accurate measure than the traditional single-biomarker approach

Garcia-Aloy

Rabassa

Casas‐Agustench

et al. 2017

Trends in Food Science & Technology

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HIGHLIGHTS• Improvements in dietary assessment will deal with weaknesses between diet and health.• Multi-metabolite biomarker panels offer a better estimation than single biomarkers.• Untargeted metabolomics enables the proposal of new multi-metabolite biomarker panels.• A series of challenges should be addressed before panels can reach their full potential.• The combined use of biomarker panels with questionnaires will enable increasing accuracy and precision in dietary assessment. ABSTRACTBackground: Accurate measurement of food intake is the cornerstone of understanding the links between diet and optimal health status or risk of disease. The utilization of metabolomics approaches is revolutionizing the field of dietary assessment by associating metabolic profiles with intake of specific foods or dietary patterns and/or investigating human health status in nutritional trials. Combining dietary biomarkers with conventional dietary assessment methods is considered a potential strategy for tackling the complexity of dietary exposure fingerprinting. Scope and approach:We discuss existing approaches among dietary assessment methods and dietary biomarkers. A combined approach taking into consideration data from dietary questionnaires with measurements of dietary biomarkers is emphasized. Key findings and conclusions:Trends in novel strategies for improving dietary exposure assessment will be influenced by the discovery and validation of dietary exposure biomarkers.Among different strategies, multi-metabolite biomarker panels enable more reliable estimation of dietary exposure than does the traditional single-biomarker approach. Therefore, a combined approach using data from dietary questionnaires along with measurements of dietary biomarkers is considered an excellent strategy for improving dietary exposure assessment.

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A serum metabolomics‐driven approach predicts orange juice consumption and its impact on oxidative stress and inflammation in subjects from the BIONAOS study

Abstract: We designed a new panel of biomarkers to differentiate the intake of OJs containing different doses of polyphenols. On the other hand, the consumption of an OJ with a high content of flavanones improved oxidative stress and inflammatory biomarkers.

Cited by 34 publications

References 46 publications

Metabolomics profiling of xenobiotics in elite athletes: relevance to supplement consumption

Metabolomics profiling of xenobiotics in elite athletes: relevance to supplement consumption

Circulating Pro- and Anti-Inflammatory Metabolites and Its Potential Role in Rheumatoid Arthritis Pathogenesis

Novel strategies for improving dietary exposure assessment: Multiple-data fusion is a more accurate measure than the traditional single-biomarker approach

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