Anhê · Molecular metabolism 2017 · Controlled animal laboratory experiment · n=?

A polyphenol-rich cranberry extract reverses insulin resistance and hepatic steatosis independently of body weight loss.

Cited 186 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Preclinical animal study

PubMed 29107524 · doi:10.1016/j.molmet.2017.10.003 · record verified 2026-08-28

What was done

Mice were pre-fed either a standard Chow or a High Fat-High Sucrose (HFHS) diet for 13 weeks to induce obesity, then treated for 8 additional weeks with either a polyphenol-rich cranberry extract (CE, 200 mg/kg; Chow + CE, HFHS + CE) or vehicle control (Chow, HFHS). Authors evaluated body weight, fat mass accretion, hepatic steatosis, hepatic gene expression of lipid catabolism and inflammatory markers, glucose tolerance, insulin sensitivity, and gut microbiota composition.

What was found

The abstract reports no numerical values. Qualitatively, CE treatment did not reverse weight gain or fat mass accretion in Chow- or HFHS-fed mice. In HFHS + CE mice, CE fully reversed hepatic steatosis, upregulated lipid catabolism genes (including PPARalpha), and downregulated pro-inflammatory genes (including COX2 and TNFalpha). These hepatic changes were associated with improved glucose tolerance and normalized insulin sensitivity. In the gut microbiota, HFHS + CE mice displayed a lower Firmicutes-to-Bacteroidetes ratio and a pronounced expansion of Akkermansia muciniphila and Barnesiella spp. compared to HFHS controls.

Why it matters

This study provides preclinical evidence that dietary polyphenols can reverse established diet-induced steatosis and insulin resistance via the gut-liver axis independently of weight loss.

Limits

The study was conducted in a mouse model, so results may not translate to human metabolic disease. The abstract does not report the total sample size (n), quantitative effect sizes, confidence intervals, or p-values, and cannot establish direct causality for the observed microbiome shifts.

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