Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115956
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dc.contributorDepartment of Rehabilitation Sciences-
dc.contributorDepartment of Applied Biology and Chemical Technology-
dc.contributorDepartment of Food Science and Nutrition-
dc.contributorResearch Centre for Chinese Medicine Innovation-
dc.contributorResearch Institute for Future Food-
dc.contributorResearch Institute for Smart Ageing-
dc.creatorChen, H-
dc.creatorKam, H-
dc.creatorIn, Siu, SW-
dc.creatorWong, CTT-
dc.creatorQiu, JW-
dc.creatorCheung, AKK-
dc.creatorRádis-Baptista, G-
dc.creatorLee, S-
dc.date.accessioned2025-11-18T06:48:29Z-
dc.date.available2025-11-18T06:48:29Z-
dc.identifier.issn2097-4132-
dc.identifier.urihttp://hdl.handle.net/10397/115956-
dc.language.isoenen_US
dc.publisherKeAi Publishing Communications Ltd.en_US
dc.rights© 2025 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Chen, H., Kam, H., In Siu, S. W., Ting Wong, C. T., Qiu, J.-W., Kwok-Kuen Cheung, A., Rádis-Baptista, G., & Ming-Yuen Lee, S. (2025). Neuroprotective Kunitz-like peptides identified from the octopus coral Galaxea fascicularis through transcriptomic analysis. Water Biology and Security, 4(3), 100358 is available at https://doi.org/10.1016/j.watbs.2025.100358.en_US
dc.subjectKunitz-type peptidesen_US
dc.subjectNeuroprotective effecten_US
dc.subjectNrf2 signaling pathwayen_US
dc.subjectPotassium ion channelen_US
dc.titleNeuroprotective Kunitz-like peptides identified from the octopus coral Galaxea fascicularis through transcriptomic analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume4-
dc.identifier.issue3-
dc.identifier.doi10.1016/j.watbs.2025.100358-
dcterms.abstractParkinson's disease (PD) is the second most common neurodegenerative disease. Potassium voltage-gated channels are potential targets for the treatment of PD. The aim of this study is to identify novel potassium ion channel blockers for the treatment of PD through transcriptomic analysis of the coral species Galaxea fascicularis. After annotation by four different databases, four peptides were selected that showed characteristics of potassium ion channel blockers. These four peptides were subjected to multiple sequence alignment and phylogenetic analysis. These four peptides were identified as of Kunitz-type peptides, are known as potassium ion channel blockers. The structures of the peptides were modeled and subjected to molecular dynamics (MD) simulation to verify their stability, which indicated that the peptide GfKuz1 showed the highest potency to block KV1.3 (potassium voltage-gated channel subfamily A member 3) among the reference peptides. The MD simulation of the peptide-protein complexes showed that GfKuz1 interacted with KV1.3, and was more compact and stable than the other potassium ion channel. The blocking effect was confirmed by a potassium ion bioassay. Furthermore, GfKuz1 showed no toxicity to PC-12 ​cells or zebrafish at concentrations up to 100 ​μM. In addition, GfKuz1 increased the PC-12 ​cell viability that was reduced by 6-hydroxydopamine hydrochloride, and also down-regulated the level of reactive oxygen species and activated the Nrf2 pathway. In summary, GfKuz1 reversed PD symptoms and is a potential peptide drug prototype for PD treatment.-
dcterms.abstractGraphical abstract: [Figure not available: see fulltext.]-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationWater biology and security, July 2025, v. 4, no. 3, 100358-
dcterms.isPartOfWater biology and security-
dcterms.issued2025-07-
dc.identifier.scopus2-s2.0-85215590167-
dc.identifier.eissn2772-7351-
dc.identifier.artn100358-
dc.description.validate202511 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported by the China Postdoctoral Science Foundation under Grant Number 2023M731524, University of Macau and funded by The Science and Technology Development Fund (FDTC) of Macau SAR (File no. 0058/2019/A1 and 0016/2019/AKP), University of Macau (MYRG2019-00105-ICMS) and The Hong Kong Polytechnic University (Project ID. P0006304). The Environmental and Conservation Fund of Hong Kong (grant no. 34/2019), and Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong laboratory (Guangzhou) (grant nos. GMl2019ZD0404, SMSEGl20SC02). This work was performed in part at the high performance computing cluster (HPCC) which is supported by the Information and Communication Technology office (ICTO) of the University of Macau.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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