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We analyzed the dysregulation trajectories of the blood proteome along A\u03b2 pathology progression and used machine learning to develop a biomarker panel to quantify A\u03b2 pathology.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      We identified 43 blood proteins correlated with A\u03b2 plaque accumulation and selected 8 proteins to construct a model. This model was strongly correlated with amyloid positron emission tomography Centiloid values (\n                      <jats:italic>r<\/jats:italic>\n                      \u00a0=\u00a00.89), enabling quantification of A\u03b2 deposition and classification of early\u2010stage pathology (area under the curve\u00a0=\u00a00.93).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>This study provides a systematic profile of dynamic protein alterations during A\u03b2 pathology progression. Moreover, we developed a biomarker assay that accurately quantifies A\u03b2 pathology, offering a potential tool to facilitate early screening and monitoring of amyloid pathology.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.71179","type":"journal-article","created":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T08:57:04Z","timestamp":1769763424000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Targeted blood proteome profiling using NULISAseq identifies a high\u2010performance biomarker panel for A\u03b2 pathology quantification and staging"],"prefix":"10.1002","volume":"22","author":[{"given":"Wenyue","family":"Zheng","sequence":"first","affiliation":[{"name":"Division of Life Science, State Key Laboratory of Nervous System Disorders and Daniel and Mayce Yu Molecular Neuroscience Center The Hong Kong University of Science and Technology  Hong Kong Special Administrative Region China"},{"name":"InnoHK Hong Kong Center for Neurodegenerative Diseases  Hong Kong Special Administrative Region China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanbing","family":"Jiang","sequence":"additional","affiliation":[{"name":"Division of Life Science, State Key Laboratory of Nervous System Disorders and Daniel and Mayce Yu Molecular Neuroscience Center The Hong Kong University of Science and Technology  Hong Kong Special Administrative Region China"},{"name":"InnoHK Hong Kong Center for Neurodegenerative Diseases  Hong Kong Special Administrative Region China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiu Yi","family":"Wong","sequence":"additional","affiliation":[{"name":"Division of Life Science, State Key Laboratory of Nervous System Disorders and Daniel and Mayce Yu Molecular Neuroscience Center The Hong Kong University of Science and Technology  Hong Kong Special Administrative Region China"},{"name":"InnoHK Hong Kong Center for Neurodegenerative Diseases  Hong Kong Special Administrative Region China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wan Wa","family":"Wong","sequence":"additional","affiliation":[{"name":"Division of Life Science, State Key Laboratory of Nervous System Disorders and Daniel and Mayce Yu Molecular Neuroscience Center The Hong Kong University of Science and Technology  Hong Kong Special Administrative Region China"},{"name":"InnoHK Hong Kong Center for Neurodegenerative Diseases  Hong Kong Special Administrative Region China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lily K. 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