Bioinformatics Study on Site-Specific Variations of Eotaxin-3, a Key Chemokine in Eosinophilic Esophagitis (EoE)

Genes (Basel). 2024 Aug 14;15(8):1073. doi: 10.3390/genes15081073.

Abstract

Eotaxin-3 is a key chemokine with a relevant role in eosinophilic esophagitis, a rare chronic immune/antigen-mediated inflammatory disorder. Eotaxin-3 is a potent activator of eosinophil emergence and migration, which may lead to allergic airway inflammation. We investigated, using bioinformatics tools, the protein structure and the possible effects of the known variations reported in public databases. Following a procedure already established, we created a 3D model of the whole protein and modeled the structure of 105 protein variants due to known point mutations. The effects of the amino acid substitution at the level of impact on protein structure, stability, and possibly function were detected by the bioinformatics procedure and described in detail. A web application was implemented to browse the results of the analysis and visualize the 3D models, with the opportunity of downloading the models and analyzing them using their own software. Among 105 amino acid substitutions investigated, the study evidenced in 44 cases at least one change in any of the investigated structural parameters. Other six variations are also relevant, although a structural effect was not detected by our analysis, because they affected amino acids highly conserved, which suggests a possible function role. All these variations should be the object of particular attention, as they may induce a loss of functionality in the protein.

Keywords: eosinophilic esophagitis; protein modelling; protein structural analysis; protein variants; web application.

MeSH terms

  • Amino Acid Substitution
  • Chemokine CCL26* / genetics
  • Chemokine CCL26* / metabolism
  • Computational Biology* / methods
  • Eosinophilic Esophagitis* / genetics
  • Eosinophilic Esophagitis* / pathology
  • Humans
  • Models, Molecular

Substances

  • Chemokine CCL26
  • CCL26 protein, human

Grants and funding

This paper was partially supported by the PRIN-2022 PNRR project (The biomarker landscape for diagnosis and follow-up of eosinophilic esophagitis: from bench to bedside; project code: P2022BCXTK), funded by MUR. This work was also supported by the CNR project NUTRAGE FOE-2021 DBA.AD005.225. A.M. was partially supported by funds from BANCA D’ITALIA.