Enhancing the Cytotoxicity and Apoptotic Efficacy of Parasporin-2-Derived Variants (Mpp46Aa1) on Cancer Cell Lines

Juan S Alarcón-Aldana, Lydia Visser, Nohora J Rueda-Forero, Efraín H Pinzón-Reyes, Paola Rondón-Villarreal, Miguel O Suárez-Barrera*

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

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    Abstract

    Parasporin PS2Aa1, recently renamed Mpp46Aa1, is an anti-cancer protein known for its selectivity against various human cancer cell lines. We genetically modified native PS2Aa1 to create a library of approximately 100 mutants. From this library, we selected promising mutants based on their half-maximal inhibitory concentration (IC 50) and sequence variations. In this study, Variant 3-35, with the G257V substitution, demonstrated increased cytotoxicity and selectivity against the colon cancer cell line SW480. Conversely, Variant N65, featuring substitutions N92D, K175R, and S218G, yielded the most favorable results against the cancer cell lines SW-620, MOLT-4, and Jurkat. The caspase 3/7 and 9, Annexin V-Cy3 and 6-GFDA activities, and, most notably, mitochondrial membrane permeabilization assays confirmed the apoptotic marker elevation. These findings indicate that residues 92, 175, 218, and 257 may play a critical role in the cytotoxic activity and selectivity. We successfully obtained genetically improved variants with substitutions at these key amino acid positions. Additionally, we conducted molecular dynamic simulations to explore the potential interactions between PS2Aa1 and the CD59 GPI-anchored protein. The simulation results revealed that residues 57, 92, and 101 were consistently present, suggesting their possible significance in the interactions between parasporin and the CD59 protein.

    Original languageEnglish
    Article number415
    Number of pages16
    JournalToxins
    Volume16
    Issue number10
    DOIs
    Publication statusPublished - 25-Sept-2024

    Keywords

    • Humans
    • Apoptosis/drug effects
    • Cell Line, Tumor
    • Antineoplastic Agents/pharmacology
    • Molecular Dynamics Simulation
    • Mutation

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