Possible role of the gut microbiome in mediating the beneficial effects of the six-herbal formulation STW 5-II on digestive health.

BACKGROUND: STW 5-II is a combination of six herbal extracts with clinically proven efficacy in functional dyspepsia (FD) and irritable bowel syndrome (IBS). STW 5-II contains a wide variety of secondary plant constituents that may interact with the human gut microbiome. In addition to complex carbohydrates, secondary plant metabolites, such as polyphenols, are known to exert prebiotic-like effects. PURPOSE: This study aimed to assess the bidirectional interactions between STW 5-II and the human gut microbiome. METHODS: STW 5-II was incubated with human fecal microbiota in a short-term colonic model. In the samples, the impact of STW 5-II on microbial fermentation capacity (pH, gas production), short chain fatty acid (SCFA) production, and microbial composition (Illumina 16S rRNA gene sequencing) was analyzed. In addition, the biotransformation of STW 5-II constituents by the fecal microbiota was assessed by UHPLCHRMS-based metabolite profiling. Furthermore, Caco-2/THP1 co-culture assay was used to explore the effect on gut barrier integrity and inflammatory markers. RESULTS: Fermentation of STW 5-II by fecal microbiota led to consistent changes in pH and gas production and increased production of SCFAs (acetate, propionate, and butyrate). STW 5-II promoted the enrichment of Bifidobacteriaceae, Lachnospiraceae, Ruminococcaceae, Erysipelotrichaceae, and Eggerthellaceae and suppressed the growth of pathogenic species from the Enterobacteriaceae family. In Caco2/THP1 culture, treatment with STW 5-II-incubated samples resulted in significantly increased transepithelial electrical resistance, indicating enhanced barrier function. Among inflammatory markers, STW 5-II-incubated samples increased LPS-induced secretion of the anti-inflammatory cytokine IL-10, as well as NF-κB activity, and significantly decreased the secretion of the pro-inflammatory chemokine MCP-1. UHPLCHRMS analysis identified 110 constituents of STW 5-II with changed levels during incubation with fecal microbiota: 63 constituents that were metabolized, 22 intermittently increased metabolites, and 25 final metabolites, including compounds with established anti-inflammatory activity, such as 18ß-glycyrrhetinic acid. CONCLUSION: These findings indicate a microbiome-mediated digestive health-promoting effect of STW 5-II via three different routes, namely enhanced microbial SCFA production, microbial production of potentially bioactive metabolites from STW 5-II constituents, and prebiotic-like action by promoting the proliferation/growth of beneficial bacteria.

Assessment of anti-inflammatory properties of extracts from Honeysuckle (Lonicera sp. L., Caprifoliaceae) by ATR-FTIR spectroscopy.

Inflammation is a hallmark of some of today's most life-threatening diseases such as arteriosclerosis, cancer, diabetes and Alzheimer's disease. Herbal medicines (HMs) are re-emerging resources in the fight against these conditions and for many of them, anti-inflammatory activity has been demonstrated. However, several aspects of HMs such as their multi-component character, natural variability and pharmacodynamic interactions (e.g. synergism) hamper identification of their bioactive constituents and thus the development of appropriate quality control (QC) workflows. In this study, we investigated the potential use of Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy as a tool to rapidly and non-destructively assess different anti-inflammatory properties of ethanolic extracts from various species of the Genus Lonicera (Caprifoliaceae). Reference measurements for multivariate calibration comprised in vitro bioactivity of crude extracts towards four key players of inflammation: Nitric oxide (NO), interleukin 8 (IL-8), peroxisome proliferator-activated receptor ß/δ (PPAR ß/δ), and nuclear factor kappa-light-chain-enhancer of activated B-cells (NF-κB). Multivariate analysis of variance (MANOVA) revealed a statistically significant, quantitative pattern-activity relationship between the extracts' ATR-FTIR spectra and their ability to modulate these targets in the corresponding cell models. Ensemble orthogonal partial least squares (OPLS) discriminant models were established for the identification of extracts exhibiting high and low activity with respect to their potential to suppress NO and IL-8 production. Predictions made on an independent test set revealed good generalizability of the models with overall sensitivity and specificity of 80% and 100%, respectively. Partial least squares (PLS) regression models were successfully established to predict the extracts' ability to suppress NO production and NF-κB activity with root mean squared errors of cross-validation (RMSECV) of 8.7% and 0.05-fold activity, respectively.