BioTeSys publiziert regelmäßig wissenschaftliche Artikel zu unterschiedlichen Themen aus dem Umfeld der Prüfung und wissenschaftlichen Absicherung von biologischen und chemischen Produkten.
Publikation: 09. November 2018
Several health promoting effects have been reported for maqui berry, rich in anthocyanins. Direct effects of anthocyanins as well as bioactive metabolites might be involved. Within the study, bioavailability of a proprietary standardized maqui berry extract Delphinol® was investigated based on two selected anthocyanins (delphinidin-3-O-glucoside (DS) + cyanidin-3-O-sambubioside (CS)) and two breakdown products (protocatechuic acid (PCA) + gallic acid (GA)) after a single-dose supplementation in humans.
Publikation: 10. September 2018
Each year, adults suffer about two to four upper respiratory tract infections (URTIs), mostly in winter. The aim of the study was to evaluate the effects of brewers' yeast (1,3)-(1,6)-beta-glucan on incidence and severity of upper respiratory tract infections (URTIs).
Publikation: 07. August 2018
Lactulose can be used as a functional food ingredient. During manufacturing as liquid or crystalline formulation, impurities with different sugars occur. Lactulose may also be consumed by people with impaired glucose tolerance, including diabetics. For these consumers, it is of interest whether the described carbohydrate impurities may increase blood glucose levels after ingestion. This study was performed to investigate possible changes of blood glucose levels after oral intake of 10 g and 20 g of liquid and crystalline lactulose in healthy subjects. The small amounts of carbohydrate impurities did not influence blood glucose levels, indicating potential applicability to people with impaired glucose tolerance.
Publikation: 09. Juni 2018
There is growing interest in the health effects of dietary polyphenols on cardiovascular risk factors. In this context, the effect of hydroxytyrosol on lipid status was investigated in healthy subjects. Hydroxytyrosol, a polyphenol especially known from olive oil, is available on the market from different sources. Absorption from those sources is prerequisite for its effects.
Publikation: 01. Juni 2018
Intake of hormonal contraceptives (HC) is associated with higher total 25-hydroxyvitamin D [25(OH)D] concentrations, but the effect of HC on free 25(OH)D is unclear. We investigated whether free 25(OH)D concentrations differ according to use of HC.
Publikation: 30. April 2018
Frailty among elderly people leads to an increased risk for negative health outcomes. To prevent frailty, we need a better understanding of the underlying mechanisms and early detection of individuals at risk. Both may be served by identifying candidate (bio)markers, i.e. biomarkers and markers, for the physical, cognitive, and psychological frailty domains. We used univariate (Rank-ANOVA) and multivariate (elastic net) approaches on the RASIG study population (age range: 35-74 years, n = 2220) of the MARK-AGE study to study up to 331 (bio)markers between individuals with and without frailty for each domain. Biomarkers and markers identified by both approaches were studied further regarding their association with frailty using logistic regression. Univariately, we found lower levels of antioxidants, including β-cryptoxanthin and zeaxanthin, in those who were physically, cognitively or psychologically frail. Additionally, self-reported health was worse in these three frail groups. Multivariately, we observed lower levels of β-cryptoxanthin and zeaxanthin in the cognitively frail. Levels of these carotenoids were inversely associated with the risk of being cognitively frail after adjusting for confounders. Antioxidants and self-reported health are potential (bio)markers to detect persons at risk of becoming frail. The biomarkers identified may indicate the involvement of inflammation in frailty, especially for physical and cognitive frailty.
Publikation: 01. März 2018
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.
Publikation: 23. Januar 2018
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.
Publikation: 22. Januar 2018
We modeled red blood cell (RBC)-folate response to supplementation and developed personalized folate supplementation concepts.
Publikation: 06. September 2017
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.