{"title":"Parishin C modulates the amyloid transformation of alpha-synuclein protein by apparently interacting with the NAC domain","authors":"Almas Akhtar, Payal Singh, Nikita Admane, Abhinav Grover","doi":"10.1016/j.bbapap.2025.141076","DOIUrl":null,"url":null,"abstract":"<div><div>Parkinson's disease (PD) is a neurodegenerative disorder marked by the gradual deterioration of dopaminergic neurons in the brain and the presence of Lewy bodies (LB) within the remaining affected neurons, comprised of α-synuclein protein aggregates. Herein, we report a novel amyloid inhibitory potential of Parishin C on the amyloid transformation of the α-synuclein protein. Our studies involving computational screening and REMD simulation analysis revealed a strong interaction between Parishin C and the non-amyloid component (NAC domain), a known aggregation-prone region of the α-synuclein protein. Thioflavin T fluorescence assay demonstrated the inhibitory effect of Parishin C on amyloid transformation kinetics of α-synuclein, where even at the lowest concentration of Parishin C there was a 72 % reduction in the ThT maxima. ANS binding assay further revealed its ability to alter the surface hydrophobicity of the protein. An extensive evaluation using biophysical techniques indicated that Parishin C effectively prevented the formation of mature fibrillar species and promoted the formation of lower order aggregates with reduced cross-β-sheet signatures compared to the native α-synuclein aggregates. Collectively, our research highlights Parishin C's potential as a structural blueprint for developing new therapeutic compounds aimed at preventing the amyloidogenic transition in Parkinson's disease and related disorders.</div></div>","PeriodicalId":8760,"journal":{"name":"Biochimica et biophysica acta. Proteins and proteomics","volume":"1873 4","pages":"Article 141076"},"PeriodicalIF":2.3000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochimica et biophysica acta. Proteins and proteomics","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1570963925000147","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder marked by the gradual deterioration of dopaminergic neurons in the brain and the presence of Lewy bodies (LB) within the remaining affected neurons, comprised of α-synuclein protein aggregates. Herein, we report a novel amyloid inhibitory potential of Parishin C on the amyloid transformation of the α-synuclein protein. Our studies involving computational screening and REMD simulation analysis revealed a strong interaction between Parishin C and the non-amyloid component (NAC domain), a known aggregation-prone region of the α-synuclein protein. Thioflavin T fluorescence assay demonstrated the inhibitory effect of Parishin C on amyloid transformation kinetics of α-synuclein, where even at the lowest concentration of Parishin C there was a 72 % reduction in the ThT maxima. ANS binding assay further revealed its ability to alter the surface hydrophobicity of the protein. An extensive evaluation using biophysical techniques indicated that Parishin C effectively prevented the formation of mature fibrillar species and promoted the formation of lower order aggregates with reduced cross-β-sheet signatures compared to the native α-synuclein aggregates. Collectively, our research highlights Parishin C's potential as a structural blueprint for developing new therapeutic compounds aimed at preventing the amyloidogenic transition in Parkinson's disease and related disorders.
期刊介绍:
BBA Proteins and Proteomics covers protein structure conformation and dynamics; protein folding; protein-ligand interactions; enzyme mechanisms, models and kinetics; protein physical properties and spectroscopy; and proteomics and bioinformatics analyses of protein structure, protein function, or protein regulation.