{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T07:05:02Z","timestamp":1789628702240,"version":"build-2803163510"},"reference-count":56,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:00:00Z","timestamp":1789516800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:00:00Z","timestamp":1789516800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["22104157"],"award-info":[{"award-number":["22104157"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Materials"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    In\u2010depth characterization of pathological protein aggregate with its subcomponents is pivotal for early diagnosis and staging of neurodegenerative disorders. Here, we introduce the Protein Aggregate NanoDynamics Analyzer (PANDA), a plasmonic nanotechnology\u2010powered system that translates the supramolecular size distribution of protein aggregates into distinct scattering signatures via sterically constrained immunogold clustering. In this work, PANDA enabled the profiling of \u03b1\u2010synuclein (\u03b1\u2010syn) aggregates with diverse supramolecular architectures from human serum samples and experimentally revealed biological stage\u2010dependent distribution patterns in Parkinson's disease (PD). Aggregate size profiles from PANDA readouts showed strong correlation with clinical scores (\n                    <jats:italic>r<\/jats:italic>\n                    <jats:sub>max<\/jats:sub>\n                    = 0.6) and dopaminergic PET imaging (\n                    <jats:italic>r<\/jats:italic>\n                    <jats:sub>max<\/jats:sub>\n                    = 0.7). Notably, it also confirmed the pathophysiological transition of \u201coligomer\u2010to\u2010fibril\u201d in the course of PD progression. To leverage this transition, we incorporated a deep neural network (DNN) to classify PD stages. The network achieved high accuracy and enabled an objective reference to evaluate PD progression. PANDA system thus offers a noninvasive, artificial intelligence (AI)\u2010augmented framework for molecular diagnosis and stratification of neurodegenerative diseases such as PD.\n                  <\/jats:p>","DOI":"10.1002\/adma.74985","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T06:34:14Z","timestamp":1789626854000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning\u2010Powered Plasmonic Platform for Decoding Dynamic Protein Aggregation Landscapes in Parkinson's Disease Progression"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1470-5524","authenticated-orcid":false,"given":"Yuhang","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Medicine The Chinese University of Hong Kong  Shenzhen China"},{"name":"Guangdong Basic Research Center of Excellence for Aggregate Science School of Science and Engineering The Chinese University of Hong Kong  Shenzhen Guangdong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1016-6293","authenticated-orcid":false,"given":"Haoran","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Science and Engineering The Chinese University of Hong Kong  Shenzhen China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9328-7101","authenticated-orcid":false,"given":"Xinyu","family":"Yang","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument School of Biomedical Engineering Sun Yat\u2010Sen University Shenzhen Campus of Sun Yat\u2010Sen University  Shenzhen China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anqi","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Neurology Xuanwu Hospital Capital Medical University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingyuan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Medicine The Chinese University of Hong Kong  Shenzhen China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3646-7396","authenticated-orcid":false,"given":"Zong","family":"Dai","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument School of Biomedical Engineering Sun Yat\u2010Sen University Shenzhen Campus of Sun Yat\u2010Sen University  Shenzhen China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan","family":"Liu","sequence":"additional","affiliation":[{"name":"Genetic Diseases Key Laboratory of Sichuan Province, Department of Medical Genetics Sichuan Academy of Medical Sciences &amp; Sichuan Provincial People\u2019s Hospital University of Electronic Science and Technology of China Chengdu China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6927-433X","authenticated-orcid":false,"given":"Yongfeng","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Medicine The Chinese University of Hong Kong  Shenzhen China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0486-5437","authenticated-orcid":false,"given":"Jianhe","family":"Guo","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument School of Biomedical Engineering Sun Yat\u2010Sen University Shenzhen Campus of Sun Yat\u2010Sen University  Shenzhen China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5787-1163","authenticated-orcid":false,"given":"Shuying","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Neurology Xuanwu Hospital Capital Medical University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0486-4530","authenticated-orcid":false,"given":"Chenzhong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Medicine The Chinese University of Hong Kong  Shenzhen China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4386-0740","authenticated-orcid":false,"given":"Cheng","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Medicine The Chinese University of Hong Kong  Shenzhen China"},{"name":"Guangdong Basic Research Center of Excellence for Aggregate Science School of Science and Engineering The Chinese University of Hong Kong  Shenzhen Guangdong 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