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Mycophenolate embryopathy (ME) is a congenital malformation induced by mycophenolic acid (MA). Microtia is the most common ME phenotype. This study aimed to identify the key genes in the pathological process of microtia caused by mycophenolate mofetil (MM) through bioinformatics methods, to explore the potential pathogenesis, and to provide a direction for future genetic research on aetiology. Genes related to MM and microtia were obtained from the GeneCards database for bioinformatics. Metacore was used to identify and visualize the upstream and downstream gene relationships in the protein-protein interaction (PPI) results of these genes. The clusterProfiler R software package was used to simulate and visualize the enrichment results based on data from Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Fifty-nine genes were associated with microtia and MM/MA. The hub genes with the most significant effects on MM/MA-induced microtia pathogenesis included tumour protein P53 (p53), MDM2 proto-oncogene (MDM2), ribosomal protein L5 (RPL5) and ribosomal protein S14 (RBS14). The GO term with the most enriched genes was peptidyl-tyrosine phosphorylation. For the KEGG terms, there was significant enrichment regarding the haematopoietic cell lineage, apoptosis, p53 signalling, proteasome and necroptosis. We propose that an axis composed of MA, microtia, TP53 and related genes is involved in ME pathogenesis. The important role of TP53-associated ribosome stress in ME pathogenesis is consistent with our previous findings from MA-induced cleft lip and palate. Deregulation of genes protective against TP53 overexpression, such as MDM2, could be a strategy for constructing a microtia animal model. • An axis composed of MA, microtia, TP53 and related genes is involved in ME pathogenesis. • Associated genes like MDM2, RPL5 and RPS14 have been found to be involved in the regulation of this process. • Integrated bioinformatics approaches are used for the first time to screen pathogenetic genes and pathways of mycophenolic acid-induced microtia. [ABSTRACT FROM AUTHOR]

Ethanol used by women during pregnancy increases the risk for microtia in the foetus. Traditionally, laboratory experiments and Mouse Genome Informatics (MGI) have been used to explore microtia pathogenesis. The aim of this study was to screen and verify hub genes involved in ethanol-induced microtia and to explore the potential molecular mechanisms. Overlapping genes related to ethanol and microtia were acquired from the GeneCards database and filtered by confidence score. These genes were further analysed via bioinformatics. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis results were visualized with the clusterProfiler R package. A protein-protein interaction (PPI) network was constructed based on data from the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database. Overall, 41 genes related to both ethanol and microtia were identified. The genes most relevant to ethanol-induced microtia pathogenesis included FGFR-2, FGFR-3, FGF-8, TP53, IGF1, SHH, CTNNB1, and PAX6, among others. Most genes were strongly enriched for tissue and organ development in GO analysis. Additionally, many genes were enriched in the Ras, FoxO, MAPK, and PI3K-Akt signalling pathways in KEGG analysis. Bioinformatics analysis was conducted on genes currently known to be related to ethanol-induced microtia pathogenesis. We propose that mechanisms involving FGF-family genes, TP53, IGF1 and SHH contribute significantly to ethanol-induced microtia and the accompanying malformation of other structures. [ABSTRACT FROM AUTHOR]