Journal article
Host-defence caerin 1.1 and 1.9 peptides suppress glioblastoma U87 and U118 cell proliferation through the modulation of mitochondrial respiration and induce the downregulation of CHI3L1
PLoS One, Vol.19(6), pp.1-25
2024
PMCID: PMC11161062
PMID: 38848430
Abstract
Glioblastoma, the most aggressive form of brain cancer, poses a significant global health challenge with a considerable mortality rate. With the predicted increase in glioblastoma incidence, there is an urgent need for more effective treatment strategies. In this study, we explore the potential of caerin 1.1 and 1.9, host defence peptides derived from an Australian tree frog, in inhibiting glioblastoma U87 and U118 cell growth. Our findings demonstrate the inhibitory impact of caerin 1.1 and 1.9 on cell growth through CCK8 assays. Additionally, these peptides effectively curtail the migration of glioblastoma cells in a cell scratch assay, exhibiting varying inhibitory effects among different cell lines. Notably, the peptides hinder the G0/S phase replication in both U87 and U118 cells, pointing to their impact on the cell cycle. Furthermore, caerin 1.1 and 1.9 show the ability to enter the cytoplasm of glioblastoma cells, influencing the morphology of mitochondria. Proteomics experiments reveal intriguing insights, with a decrease in CHI3L1 expression and an increase in PZP and JUNB expression after peptide treatment. These proteins play roles in cell energy metabolism and inflammatory response, suggesting a multifaceted impact on glioblastoma cells. In conclusion, our study underscores the substantial anticancer potential of caerin 1.1 and 1.9 against glioblastoma cells. These findings propose the peptides as promising candidates for further exploration in the realm of glioblastoma management, offering new avenues for developing effective treatment strategies.
Details
- Title
- Host-defence caerin 1.1 and 1.9 peptides suppress glioblastoma U87 and U118 cell proliferation through the modulation of mitochondrial respiration and induce the downregulation of CHI3L1
- Authors
- Yichen Wang - Guangdong Pharmaceutical UniversityFurong Zhong - Guangdong Pharmaceutical UniversityFengyun Xiao - Guangdong Pharmaceutical UniversityJunjie Li - Guangdong Pharmaceutical UniversityXiaosong Liu - First People's Hospital of FoshanGuoying Ni - Guangdong Pharmaceutical UniversityTianfang Wang (Corresponding Author) - University of the Sunshine Coast, Queensland, Centre for BioinnovationWei Zhang (Corresponding Author) - First People's Hospital of Foshan
- Publication details
- PLoS One, Vol.19(6), pp.1-25
- Publisher
- Public Library of Science
- Date published
- 2024
- DOI
- 10.1371/journal.pone.0304149
- ISSN
- 1932-6203
- PMID
- 38848430; PMC11161062
- Copyright note
- © 2024 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Data Availability
- The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD044941. The flow cytometric data of apoptosis experiment have been deposited to Flowrepository with the dataset link http://flowrepository.org/id/FR-FCM-Z764, while for the cell cycle experiment, the link to the data is http://flowrepository.org/id/FR-FCM-Z765.
- Grant note
- This study was supported in part by the First Affiliated Hospital of Guangdong Pharmaceutical University, Deng Feng project of Foshan First People’s Hospital (2019A008), Foshan municipal Government (2015AG1003), Guangdong Science and Technology Department (2016A020213001), National Science Foundation of Guangdong province (2020A1515010855), National Natural Science Foundation of China (31971355).
- Organisation Unit
- School of Science and Engineering - Legacy; GeneCology Research Centre - Legacy; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 991043497802621
- Output Type
- Journal article
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