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The use of yeasts enriched with distinct micronutrients as supplement in human nutrition increased over the last years. A special plasmolysed herbal yeast was investigated to demonstrate its beneficial effect on the bioavailability of important micronutrients for human nutrition such as iron, zinc, magnesium and vitamin B1. The well-established Caco-2 model was applied for this investigation. The plasmolysed herbal yeast underwent an in vitro simulation of the gastro-intestinal digest process before applied to the Caco-2 model. The results demonstrate an improved bioavailability of the micronutrients iron, zinc, magnesium and vitamin B1 in the presence of the plasmolysed herbal yeast.

Exhaustive exercise causes muscle damage accompanied by oxidative stress and inflammation leading to muscle fatigue and muscle soreness. Lemon verbena leaves, commonly used as tea and refreshing beverage, demonstrated antioxidant and anti-inflammatory properties. The aim of this study was to investigate the effects of a proprietary lemon verbena extract (Recoverben®) on muscle strength and recovery after exhaustive exercise in comparison to a placebo product.

We modeled red blood cell (RBC)-folate response to supplementation and developed personalized folate supplementation concepts.

A.B.O.S. (A Better Omic System; version 1.1.0; Ars Nova AG, Esslingen, Germany) a simple, interactive software for the analysis of omics data has recently been developed to classify and evaluate biological properties or processes in complex datasets. The tool utilises self-learning algorithms that exploit group-specific properties from large datasets and applies a combination of multivariate analysis techniques such as principal component analysis (PCA), weighting the different variables/parameters according to their discriminatory power. Unlike PCA, however, the program can handle data that are not normally distributed and accounts for the presence of outliers and missing data. The software carries out predictive identifications based on pre-assigned learning groups that can be either detected automatically or defined manually. By combining all parameters shared by the members of each learning groups, the software calculates two ideal reference groups and classifies unknown elements based on their relative distance to these groups. Along with the proposed classification of samples, it also identifies the most important parameters that allow differentiating between classes.

Aloysia citriodora (L.) leaves are used as food and food supplements. A proprietary standardized Aloysia citriodora leaf extract was investigated for its anti-inflammatory effects by inhibition of cyclooxygenase (COX). Two isozymes were tested, ovine COX-1 isozyme and human recombinant COX-2 isozyme. Aloysia citriodora leaf extract showed significant dose-dependent effects to inhibit cyclooxygenases, demonstrating anti-inflammatory activity. Results may indicate beneficial effects for sports nutrition to prevent muscle soreness, muscle damage, and to improve recovery after physical exercise.

Folate required to achieve desirable red blood cell (RBC) folate concentrations within 4-8 weeks pre-pregnancy is not known. We studied the effect of supplementation with 400 or 800 µg/day folate in achieving RBC-folate ≥906 nmol/L.