Gut & Microbiomepreliminary · human dataAdded 26 July 2026

Two fibres, two different bile acid signatures

In a 50-day randomised trial in healthy adults, resistant starch raised plasma conjugated bile acids and deoxycholic acid while polydextrose did not, and polydextrose instead reduced secondary bile acid transformation in faeces. Neither fibre changed total faecal bile acid concentrations.

Why it matters

Dietary fibre is often discussed as a single entity, yet fibres differ sharply in how gut bacteria ferment them, and that fermentation shapes bile acid metabolism. Bile acids are not just fat emulsifiers: they act as signalling molecules and their profiles have been tied to metabolic and gut health. If distinct fibres reshape bile acid pools in distinct ways, that could explain why fibre types produce different metabolic effects. The researchers hypothesised that resistant starch and polydextrose, which have different fermentative properties, would differentially alter bile acid profiles in blood and stool through microbiota-mediated routes.

What they did

Samples came from a double-blind, randomised, placebo-controlled 2×2 factorial trial in which healthy participants consumed 23 g/day of type 2 resistant starch and/or 12 g/day of polydextrose for 50 days. Bile acid profiles were quantified by ultra-performance liquid chromatography mass spectrometry in plasma from 74 participants and faeces from 50. Intervention effects were analysed with general linear models and beta regression models. Genus-level bacterial abundances derived from 16S rRNA gene sequencing were used to test fibre-specific microbial correlations with the bile acid measurements, allowing the two fibres to be compared directly within the same trial.

What they found

Resistant starch, but not polydextrose, increased a range of conjugated bile acids and deoxycholic acid in plasma. Plasma taurochenodeoxycholic acid and taurine-conjugated bile acids correlated positively with Akkermansia abundance in response to resistant starch. Neither fibre altered bile acid concentrations in faeces, but the proportions shifted in opposite directions: resistant starch decreased and polydextrose increased the faecal proportion of primary bile acids. Polydextrose reduced secondary bile acid transformation ratios, alongside changes in related microbial associations. Negative correlations between plasma primary conjugated bile acids and faecal secondary bile acids appeared specifically with resistant starch.

What it actually shows

Double-blind 2x2 factorial RCT in healthy volunteers with bile acids measured in plasma from 74 and faeces from 50 participants over 50 days; biochemical outcomes only, with no health endpoints and microbial links correlational.

RCT · Eur J Nutr

Where it fits

This supports the increasingly common view that fibre is a category, not a single intervention, and pins that heterogeneity to measurable biochemistry within one controlled trial rather than across incomparable studies. It complicates simple stories about fibre and bile acids, since the two fibres moved things in opposite directions on some measures and neither changed total faecal concentrations. The microbial links, including the Akkermansia correlation, are associations within the trial and do not establish that bacteria caused the bile acid changes. Whether these distinct signatures translate into different clinical or metabolic outcomes remains open.

What it means for you

This is a reason to think that swapping one fibre supplement for another is not a neutral substitution — resistant starch and polydextrose left different fingerprints on bile acid metabolism in healthy adults. It does not show that either fibre improved health: the study measured biochemistry, not disease risk, symptoms or body composition. The practical takeaway is conceptual rather than prescriptive, namely that variety in fibre sources plausibly engages different microbial and metabolic pathways. Any downstream benefit or harm from these particular shifts remains to be demonstrated in longer studies with clinical endpoints.

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