In order to show and validate the possibilities of our approach, we obtained and visualized the shortest directed path for three different publicly available datasets. The studies publishing these datasets measured biochemical markers related to aging, which will be available in many metabolomics datasets. With the presented method, these biomarkers could be related to several metabolic reactions from pathways known to be related to aging processes and used to understand the underlying biology thereof. By visualizing the accompanying data of metabolic intensities on the network nodes, the visualization can be used to explore contradicting metabolic abundances in close reaction proximity or discover biomarkers that cannot be regarded as individual variables for modeling approaches.