Venomous Peptides: Molecular Origin of the Toxicity of Snake Venom PLA2-like Peptides

João T.S. Coimbra, Antoine Gissler, Emiel Nitor, Kiana Rostamipour, Ana V. Cunha, Maria J. Ramos, Pedro A. Fernandes

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Snakebite envenoming claims 81-138 thousand lives annually, with vipers responsible for many of those. Phospholipase A2 (PLA2) enzymes and PLA2-like proteins are among the most important viper venom toxins. The latter are particularly intriguing, as three decades after their discovery, their molecular mechanism of toxicity is still poorly understood at best. PLA2-like proteins destabilize eukaryotic cell membranes through an unknown mechanism, causing an uncontrolled influx of Ca2+ ions and ultimately triggering cell death. It is now clear that the C-terminal segment is fundamental to the toxicity, as 13-mer peptides with the same sequence exhibit most or all of the activities of the complete PLA2-like proteins. To finally clarify the mechanism of toxicity of these venom peptides, we have simulated their interaction with model cell membranes. Molecular dynamics simulations showed that peptides initially dispersed across the cell membrane quickly and spontaneously migrated, aggregated, induced membrane thinning, and formed clear and transient membrane pores. We calculated the potentials of the mean force for Ca2+ transfer across the cell membranes through the transient pores. The pores significantly lower the free energy barrier for Ca2+ translocation, an effect that grows with the size of the peptide aggregates and, thus, with the pore radius. Ca2+ flowed across the membrane through the largest pores with almost no barrier. The permeability of Ca2+ through the largest pores exceeded the permeability of pharmaceutical drugs by 4 orders of magnitude, revealing the easiness by which Ca2+ overflows the intracellular medium. These results elucidate the illusive molecular origin of the toxicity of this famous class of snake venom-derived peptides.

Original languageEnglish
Pages (from-to)4295-4306
Number of pages12
JournalJACS Au
Volume4
Issue number11
DOIs
StatePublished - Nov 25 2024
Externally publishedYes

Funding

This work received support and help from national funds (FCT/MCTES, Fundação para a Ciência e Tecnologia and Ministério da Ciência, Tecnologia e Ensino Superior) through projects: LA/P/0008/2020 DOI 10.54499/LA/P/0008/2020, UIDP/50006/2020 DOI 10.54499/UIDP/50006/2020, and UIDB/50006/2020 DOI 10.54499/UIDB/50006/2020. This work received financial support from National Funds (FCT) through project PTDC/QUI-OUT/1401/2020. This work was produced with the support of the High Performance Computing at the University of Évora (HPCUÉ) and it was funded by FCT I.P. under the project Advanced Computing Project 2021.09753.CPCA.A2, platform Oblivion. The authors gratefully acknowledge the HPC RIVR consortium (www.hpc-rivr.si) and EuroHPC JU (eurohpc-ju.europa.eu) for funding this research by providing computing resources of the HPC system Vega at the Institute of Information Science (www.izum.si). We thank the Centre for Information Technology of the University of Groningen for their support and for providing access to the Peregrine and Hábrók high performance computing clusters. This work also made use of the Dutch national e-infrastructure with the support of the SURF cooperative using grants no. EINF-3817 and NWO-2022.004/L1. J.T.S.C. thanks FCT for funding through the Scientific Employment Stimulus-Individual Call (ref. CEECIND/01374/2018/CP1545/CT0003 DOI 10.54499/CEECIND/01374/2018/CP1545/CT0003). We thank the team of the High-Performance Computing Centre of the University of Évora and Óscar Passos for technical assistance. This work received support and help from national funds (FCT/MCTES, Fundação para a Ciência e Tecnologia and Ministério da Ciência, Tecnologia e Ensino Superior) through projects: LA/P/0008/2020 DOI 10.54499/LA/P/0008/2020, UIDP/50006/2020 DOI 10.54499/UIDP/50006/2020, and UIDB/50006/2020 DOI 10.54499/UIDB/50006/2020. This work received financial support from National Funds (FCT) through project PTDC/QUI-OUT/1401/2020. This work was produced with the support of the High Performance Computing at the University of Évora (HPCUÉ) and it was funded by FCT I.P. under the project Advanced Computing Project 2021.09753.CPCA.A2, platform Oblivion. The authors gratefully acknowledge the HPC RIVR consortium ( www.hpc-rivr.si ) and EuroHPC JU (eurohpc-ju.europa.eu) for funding this research by providing computing resources of the HPC system Vega at the Institute of Information Science ( www.izum.si ). We thank the Centre for Information Technology of the University of Groningen for their support and for providing access to the Peregrine and Hábrók high performance computing clusters. This work also made use of the Dutch national e-infrastructure with the support of the SURF cooperative using grants no. EINF-3817 and NWO-2022.004/L1. J.T.S.C. thanks FCT for funding through the Scientific Employment Stimulus–Individual Call (ref. CEECIND/01374/2018/CP1545/CT0003 DOI 10.54499/CEECIND/01374/2018/CP1545/CT0003). We thank the team of the High-Performance Computing Centre of the University of Évora and Óscar Passos for technical assistance.

Keywords

  • calcium
  • membrane active peptides
  • membrane pores
  • molecular dynamics
  • snakebite envenoming

Fingerprint

Dive into the research topics of 'Venomous Peptides: Molecular Origin of the Toxicity of Snake Venom PLA2-like Peptides'. Together they form a unique fingerprint.

Cite this