Use of biomarkers to assess fruit and vegetable intake

A high intake of fruit and vegetables (FV) has been associated with reduced risk of a number of chronic diseases, including CVD. The aim of this review is to describe the potential use of biomarkers to assess FV intake. Traditional methods of assessing FV intake have limitations, and this is likely to impact on observed associations with disease outcomes and markers of disease risk. Nutritional biomarkers may offer a more objective and reliable method of assessing dietary FV intake. Some single blood biomarkers, such as plasma vitamin C and serum carotenoids, are well established as indicators of FV intake. Combining potential biomarkers of intake may more accurately predict overall FV intake within intervention studies than the use of any single biomarker. Another promising approach is metabolomic analysis of biological fluids using untargeted approaches to identify potential new biomarkers of FV intake. Using biomarkers to measure FV intake may improve the accuracy of dietary assessment.

[1]  A. Priyadarshani A review on factors influencing bioaccessibility and bioefficacy of carotenoids , 2017, Critical reviews in food science and nutrition.

[2]  J. Woodside,et al.  How much is ‘5‐a‐day’? A qualitative investigation into consumer understanding of fruit and vegetable intake guidelines , 2017, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.

[3]  M. Vohl,et al.  Carotenoids as biomarkers of fruit and vegetable intake in men and women , 2016, British Journal of Nutrition.

[4]  C. Neville,et al.  Combining vitamin C and carotenoid biomarkers better predicts fruit and vegetable intake than individual biomarkers in dietary intervention studies , 2016, European Journal of Nutrition.

[5]  Leah D. Whigham,et al.  Optical detection of carotenoids in living tissue as a measure of fruit and vegetable intake , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[6]  A. Butterworth,et al.  Comparative validity of vitamin C and carotenoids as indicators of fruit and vegetable intake: a systematic review and meta-analysis of randomised controlled trials , 2015, British Journal of Nutrition.

[7]  H. Boshuizen,et al.  Prediction of fruit and vegetable intake from biomarkers using individual participant data of diet-controlled intervention studies. , 2015, The British journal of nutrition.

[8]  Werner Gellermann,et al.  Evaluating the relationship between plasma and skin carotenoids and reported dietary intake in elementary school children to assess fruit and vegetable intake. , 2015, Archives of biochemistry and biophysics.

[9]  J. Woodside,et al.  The 5‐A‐DAY message – should we be aiming higher? , 2014 .

[10]  S. Sharp,et al.  The association between a biomarker score for fruit and vegetable intake and incident type 2 diabetes: the EPIC-Norfolk study , 2014, European Journal of Clinical Nutrition.

[11]  A. Minihane,et al.  A novel combined biomarker including plasma carotenoids, vitamin C, and ferric reducing antioxidant power is more strongly associated with fruit and vegetable intake than the individual components. , 2014, The Journal of nutrition.

[12]  Min Li,et al.  Fruit and vegetable intake and risk of type 2 diabetes mellitus: meta-analysis of prospective cohort studies , 2014, BMJ Open.

[13]  F. Hu,et al.  Fruit and vegetable consumption and mortality from all causes, cardiovascular disease, and cancer: systematic review and dose-response meta-analysis of prospective cohort studies , 2014, BMJ : British Medical Journal.

[14]  D. Wishart,et al.  The food metabolome: a window over dietary exposure. , 2014, The American journal of clinical nutrition.

[15]  S. Capewell,et al.  Fruit and vegetable consumption and non-communicable disease: time to update the ‘5 a day’ message? , 2014, Journal of Epidemiology & Community Health.

[16]  Fruit consumption and risk of type 2 diabetes: results from three prospective longitudinal cohort studies , 2013, The BMJ.

[17]  Chuli Zeng Effects of different cooking methods on the vitamin C content of selected vegetables , 2013 .

[18]  J. Woodside,et al.  Fruit and vegetable intake and risk of cardiovascular disease , 2013, Proceedings of the Nutrition Society.

[19]  J. Manson,et al.  Fruit consumption and risk of type 2 diabetes: results from three prospective longitudinal cohort studies , 2013, BMJ.

[20]  P. Jong,et al.  Factors associated with serum/plasma concentrations of vitamins A, C, E and carotenoids in older people throughout Europe: the EUREYE study , 2013, European Journal of Nutrition.

[21]  L. Brennan,et al.  Metabolomics in the identification of biomarkers of dietary intake , 2013, Computational and structural biotechnology journal.

[22]  J. Woodside,et al.  Fruits and vegetables: measuring intake and encouraging increased consumption , 2013, Proceedings of the Nutrition Society.

[23]  Valisa E. Hedrick,et al.  Dietary biomarkers: advances, limitations and future directions , 2012, Nutrition Journal.

[24]  E. Feskens,et al.  Fruit and vegetable intake and type 2 diabetes: EPIC-InterAct prospective study and meta-analysis , 2012, European Journal of Clinical Nutrition.

[25]  M. Schulze,et al.  Critical review: vegetables and fruit in the prevention of chronic diseases , 2012, European Journal of Nutrition.

[26]  Stephen J. Sharp,et al.  A Prospective Study of the Association Between Quantity and Variety of Fruit and Vegetable Intake and Incident Type 2 Diabetes , 2012, Diabetes Care.

[27]  G. Kuhnle Nutritional biomarkers for objective dietary assessment. , 2012, Journal of the science of food and agriculture.

[28]  Marga C Ocké,et al.  Variety in fruit and vegetable consumption and 10-year incidence of CHD and stroke , 2012, Public Health Nutrition.

[29]  P. Borel Genetic variations involved in interindividual variability in carotenoid status. , 2012, Molecular nutrition & food research.

[30]  Raymond J Carroll,et al.  Using regression calibration equations that combine self-reported intake and biomarker measures to obtain unbiased estimates and more powerful tests of dietary associations. , 2011, American journal of epidemiology.

[31]  J. Mathers,et al.  Use of mass spectrometry fingerprinting to identify urinary metabolites after consumption of specific foods. , 2011, The American journal of clinical nutrition.

[32]  J. Mathers,et al.  Proline betaine and its biotransformation products in fasting urine samples are potential biomarkers of habitual citrus fruit consumption. , 2011, The British journal of nutrition.

[33]  B. Lake,et al.  Identification of human urinary biomarkers of cruciferous vegetable consumption by metabonomic profiling. , 2011, Journal of proteome research.

[34]  J. Woodside,et al.  Biomarkers of Fruit and Vegetable Intake in Human Intervention Studies: A Systematic Review , 2011, Critical reviews in food science and nutrition.

[35]  Salvatore Panico,et al.  Fruit and vegetable intake and mortality from ischaemic heart disease: results from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Heart study. , 2011, European heart journal.

[36]  U. Nöthlings,et al.  Fruit and vegetable intake and overall cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC). , 2011, Journal of the National Cancer Institute.

[37]  J. Geleijnse,et al.  Raw and Processed Fruit and Vegetable Consumption and 10-Year Coronary Heart Disease Incidence in a Population-Based Cohort Study in the Netherlands , 2010, PloS one.

[38]  K. Khunti,et al.  Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta-analysis , 2010, BMJ : British Medical Journal.

[39]  A. Schatzkin,et al.  Gains in Statistical Power From Using a Dietary Biomarker in Combination With Self-reported Intake to Strengthen the Analysis of a Diet-Disease Association: An Example From CAREDS , 2010, American journal of epidemiology.

[40]  Paul C. D. Johnson,et al.  Genetic variation at the SLC23A1 locus is associated with circulating concentrations of L-ascorbic acid (vitamin C): evidence from 5 independent studies with >15,000 participants. , 2010, The American journal of clinical nutrition.

[41]  Jeremiah Stamler,et al.  Metabolic profiling strategy for discovery of nutritional biomarkers: proline betaine as a marker of citrus consumption. , 2010, The American journal of clinical nutrition.

[42]  Victor Kipnis,et al.  Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies? , 2010, Epidemiologic perspectives & innovations : EP+I.

[43]  S. Bingham,et al.  Biomarkers in nutritional epidemiology: applications, needs and new horizons , 2009, Human Genetics.

[44]  M. Martínez-González,et al.  Rapid Folin-Ciocalteu method using microtiter 96-well plate cartridges for solid phase extraction to assess urinary total phenolic compounds, as a biomarker of total polyphenols intake. , 2009, Analytica chimica acta.

[45]  N. Day,et al.  Associations between dietary methods and biomarkers, and between fruits and vegetables and risk of ischaemic heart disease, in the EPIC Norfolk Cohort Study. , 2008, International journal of epidemiology.

[46]  W. Willett Commentary: Flawed study designs are not salvaged by large samples. , 2008, International journal of epidemiology.

[47]  I. Salminen,et al.  Plasma ascorbic acid preparation and storage for epidemiological studies using TCA precipitation. , 2008, Clinical biochemistry.

[48]  E. Chiavaro,et al.  Effects of different cooking methods on nutritional and physicochemical characteristics of selected vegetables. , 2008, Journal of agricultural and food chemistry.

[49]  A. Fletcher,et al.  Plasma concentrations of carotenoids and vitamin C are better correlated with dietary intake in normal weight than overweight and obese elderly subjects. , 2007, The British journal of nutrition.

[50]  D. Lairon,et al.  Differential effect of dietary antioxidant classes (carotenoids, polyphenols, vitamins C and E) on lutein absorption , 2007, British Journal of Nutrition.

[51]  G. Lippi,et al.  Preanalytical variability: the dark side of the moon in laboratory testing , 2006, Clinical chemistry and laboratory medicine.

[52]  S. Bingham,et al.  Urinary Sucrose and Fructose as Biomarkers for Sugar Consumption , 2005, Cancer Epidemiology Biomarkers & Prevention.

[53]  A. Tomkins Assessing micronutrient status in the presence of inflammation. , 2003, The Journal of nutrition.

[54]  B. Bowman,et al.  Laboratory issues: use of nutritional biomarkers. , 2003, The Journal of nutrition.

[55]  S. Bingham,et al.  Biomarkers in nutritional epidemiology , 2002, Public Health Nutrition.

[56]  A. Alberg The influence of cigarette smoking on circulating concentrations of antioxidant micronutrients. , 2002, Toxicology.

[57]  S. Wise,et al.  Optimization of an isocratic high-performance liquid chromatographic separation of carotenoids , 1992 .

[58]  J. Vuilleumier,et al.  Fluorometric assay of vitamin C in biological materials using a centrifugal analyser with fluorescence attachment , 1989 .

[59]  Katherine L Tucker,et al.  Greater variety in fruit and vegetable intake is associated with lower inflammation in Puerto Rican adults. , 2011, The American journal of clinical nutrition.

[60]  Mark Levine,et al.  Fruit and vegetables: think variety, go ahead, eat! , 2008, The American journal of clinical nutrition.

[61]  M. Walsh,et al.  Metabolomics in human nutrition: opportunities and challenges. , 2005, The American journal of clinical nutrition.