Developing the concept of dietary estimation of fermentable carbohydrate (FC)

Abstract

Dietary fibre is believed to have many health benefits (1) but confirming its associations with reduction in risk of chronic diseases is difficult as different fibres have a variety of possible actions including the production of short chain fatty acids (SCFA) during colonic fermentation. There are also several fermentable substrates that have not been included in dietary fibre estimates for epidemiological studies. Thus developing methods to estimate fermentable carbohydrates in the diet would aid better characterisation of the impact of fermentation on health. Using evidence in the literature we developed several possible equations to estimate the amount of potential fermented carbohydrate in the diet and tested these against SCFA measured in the urine of 122 healthy subjects on their normal diet.Equations to estimate fermentable carbohydrate (FC) were based on content of dietary fibre (DF) and non-starch polysaccharide (NSP), a proportion of total starch (TS) and non-digestible oligosaccharide content. These were then applied to 3 day weighed dietary records using data from food tables and other published sources. These values were correlated with the SCFA concentrations in 24 hour urine collections measured by GC-MS.The relationships were examined for 78 subjects after excluding those who were shown to be under-reporting dietary intake using a physical activity level cut-off of 1·2. The Spearman correlation coefficient (r) and significance (p) values for the correlations with urinary acetate are shown in Table 1 for dietary fibre (AOAC 991·43 method) and NSP and for two corresponding equations, one including no insoluble fibre and the other 50% insoluble fibre (Figure 1). There was no significant relationship with the other SCFA.Weak but significant correlations were found for the equations estimating FC. FC-DF2 and FC-NSP2 had better correlations than DF and NSP alone. The inclusion of 50% insoluble fibre did not greatly improve the correlations. However, urinary SCFA are not well validated for colonic SCFA production estimation, with other factors such as liver metabolism affecting SCFA levels. These equations need to be tested against other measures of colonic fermentation such as in vitro fermentations. ¥ FC-DF1 = soluble DF + oligosaccharide + 10% TS; Ж FC-NSP1 = soluble NSP + oligosaccharide + 10% TS § FC-DF2 = soluble DF + 50% insoluble DF + oligosaccharide + 10% TS; FC-NSP2 = soluble NSP + 50% insoluble NSP + oligosaccharide + 10% TS; (Spearman's correlation) Fig. 1. Correlation of FC-DF2 (A) and FC-NSP2 (B) and 24 h urinary excretion of acetate

The Maternal Diet, Gut Bacteria, and Bacterial Metabolites during Pregnancy Influence Offspring Asthma

“…MACs defy traditional categorization into fibers or carbohydrates due to their ubiquity in small amounts across a range of foods and food types, and there is currently no validated method for this estimation ( 142 ). Establishing an accurate estimate of MAC exposure from diet remains the subject of current research efforts ( 143 ) and is critical to investigating any association between MACs and other outcomes.…”