Modeling transcriptomic age using knowledge-primed artificial neural networks.

The development of 'age clocks', machine learning models predicting age from biological data, has been a major milestone in the search for reliable markers of biological age and has since become an invaluable tool in aging research. However, beyond their unquestionable utility, current clocks offer little insight into the molecular biological processes driving aging, and their inner workings often remain non-transparent. Here we propose a new type of age clock, one that couples predictivity with interpretability of the underlying biology, achieved through the incorporation of prior knowledge into the model design.

Topical treatment with coenzyme Q10-containing formulas improves skin's Q10 level and provides antioxidative effects.

Ubiquinone (coenzyme Q10, Q10) represents an endogenously synthesized lipid-soluble antioxidant which is crucial for cellular energy production but is diminished with age and under the influence of external stress factors in human skin. Here, it is shown that topical Q10 treatment is beneficial with regard to effective Q10 replenishment, augmentation of cellular energy metabolism, and antioxidant effects. Application of Q10-containing formulas significantly increased the levels of this quinone on the skin surface.

Genome-wide expression analysis of wounded skin reveals novel genes involved in angiogenesis.

Wound healing is a multistage process involving collaborative efforts of different cell types and distinct cellular functions. Among others, the high metabolic activity at the wound site requires the formation and sprouting of new blood vessels (angiogenesis) to ensure an adequate supply of oxygen and nutrients for a successful healing process. Thus, a cutaneous wound healing model was established to identify new factors that are involved in vascular formation and remodeling in human skin after embryonic development.

Lotus leaf extract and L-carnitine influence different processes during the adipocyte life cycle.

Background: The cellular and molecular mechanisms of adipose tissue biology have been studied extensively over the last two decades. Adipose tissue growth involves both an increase in fat cell size and the formation of mature adipocytes from precursor cells. To investigate how natural substances influence these two processes, we examined the effects of lotus leaf extract (Nelumbo nucifera-extract solution obtained from Silab, France) and L-carnitine on human preadipocytes and adipocytes.