Precision Nutrition in NAFLD: Effects of a High-Fiber Intervention on the Serum Metabolome of NAFD Patients-A Pilot Study.
Ewa StachowskaDominika MaciejewskaJoanna PalmaKarolina Anna MielkoBadr QasemKatarzyna Kozłowska-PetriczkoMarcin UfnalKatarzyna Ewa SokolowskaVictoria HawryłkowiczPatrycja ZałęskaKarolina JakubczykEwa WunschKarina RyterskaKarolina Skonieczna-ŻydeckaPiotr MłynarzPublished in: Nutrients (2022)
Non-alcoholic fatty liver disease (NAFLD) is associated with dysfunction of the intestinal microbiota and its metabolites. We aimed to assess whether replacing bread with high-fiber buns beneficially changes the metabolome in NAFLD patients. This study involved 27 adult patients with NAFLD validated by FibroScan ® (CAP ≥ 234 dB/m). Patients were asked to replace their existing bread for two meals with high-fiber buns. In this way, the patients ate two rolls every day for 2 months. The following parameters were analysed (at the beginning and after 2 months): the anthropometric data (BIA), eating habits (24 h food recalls), gut barrier markers (lipopolysaccharide S and liposaccharide binding protein (LPS, LBP)), serum short-chain fatty acids (SCFAs) and branched chain fatty acids (BCFAs) by GC/MS chromatography, as well as serum metabolites (by 1 H NMR spectroscopy). After 2 months of high-fiber roll consumption, the reduction of liver steatosis was observed (change Fibroscan CAP values from 309-277 dB/m). In serum propionate, acetate, isovaleric, and 2-methylbutyric decrease was observed. Proline, choline and one unknown molecule had higher relative concentration in serum at endpoint. A fiber-targeted dietary approach may be helpful in the treatment of patients with NAFLD, by changing the serum microbiota metabolome.
Keyphrases
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- randomized controlled trial
- fatty acid
- type diabetes
- physical activity
- adipose tissue
- mass spectrometry
- oxidative stress
- high resolution
- risk assessment
- high fat diet
- artificial intelligence
- machine learning
- climate change
- patient reported
- big data
- insulin resistance
- drug delivery
- lps induced
- high speed
- human health