| Background: As individuals live longer, elderly populations can be expected to face issues. This pattern urges
researchers to investigate the aging concept further to produce successful anti-aging agents. In the current study, the
efects of Zingerone (a natural compound) on epidermal tissues were analyzed using a bioinformatics approach.
Methods: For this purpose, we chose the GEO dataset GSE133338 to carry out the systems biology and systems
pharmacology approaches, ranging from identifying the diferentially expressed genes to analyzing the gene ontology, determining similar structures of Zingerone and their features (i.e., anti-oxidant, anti-infammatory, and skin
disorders), constructing the gene–chemicals network, analyzing gene–disease relationships, and validating signifcant
genes through the evidence presented in the literature.
Results: The post-processing of the microarray dataset identifed thirteen essential genes among control and
Zingerone-treated samples. The procedure revealed various structurally similar chemical and herbal compounds with
possible skin-related efects. Additionally, we studied the relationships of diferentially expressed genes with skinrelated diseases and validated their direct connections with skin disorders the evidence available in the literature.
Also, the analysis of the microarray profling dataset revealed the critical role of interleukins as a part of the cytokines
family on skin aging progress.
Conclusions: Zingerone, and potentially any constituents of Zingerone (e.g., their similar compound scan functionality), can be used as therapeutic agents in managing skin disorders such as skin aging. However, the benefcial efects
of Zingerone should be assessed in other models (i.e., human or animal) in future studies |