<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Shen J</submitter><funding>NIA NIH HHS</funding><funding>Foundation for the National Institutes of Health</funding><funding>NINDS NIH HHS</funding><funding>National Institutes of Health</funding><funding>Chan Zuckerberg Initiative</funding><funding>Michael J. Fox Foundation for Parkinson&amp;apos;s Research</funding><pagination>255-269</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9329215</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>92(2)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>Using a multi-cohort, discovery-replication-validation design, we sought new plasma biomarkers that predict which individuals with Parkinson's disease (PD) will experience cognitive decline.&lt;h4>Methods&lt;/h4>In 108 discovery cohort PD individuals and 83 replication cohort PD individuals, we measured 940 plasma proteins on an aptamer-based platform. Using proteins associated with subsequent cognitive decline in both cohorts, we trained a logistic regression model to predict which patients with PD showed fast (> = 1 point drop/year on Montreal Cognitive Assessment [MoCA]) versus slow (&lt; 1 point drop/year on MoCA) cognitive decline in the discovery cohort, testing it in the replication cohort. We developed alternate assays for the top 3 proteins and confirmed their ability to </pubmed_abstract><journal>Annals of neurology</journal><pubmed_title>Plasma MIA, CRP, and Albumin Predict Cognitive Decline in Parkinson's Disease.</pubmed_title><pmcid>PMC9329215</pmcid><funding_grant_id>U19 AG062418</funding_grant_id><funding_grant_id>RO1 NS115139</funding_grant_id><funding_grant_id>Biomarkers Across Neurodegenerative Diseases (BAND</funding_grant_id><funding_grant_id>R01 NS115139</funding_grant_id><funding_grant_id>P50 NS053488</funding_grant_id><funding_grant_id>P30 AG072979</funding_grant_id><pubmed_authors>Skrinak RT</pubmed_authors><pubmed_authors>Shen J</pubmed_authors><pubmed_authors>Unger TL</pubmed_authors><pubmed_authors>Van Deerlin VM</pubmed_authors><pubmed_authors>Trojanowski JQ</pubmed_authors><pubmed_authors>Weintraub D</pubmed_authors><pubmed_authors>Posavi M</pubmed_authors><pubmed_authors>Xie SX</pubmed_authors><pubmed_authors>Zack R</pubmed_authors><pubmed_authors>Dewey RB</pubmed_authors><pubmed_authors>Chen-Plotkin AS</pubmed_authors><pubmed_authors>Amari N</pubmed_authors><pubmed_authors>Tropea TF</pubmed_authors></additional><is_claimable>false</is_claimable><name>Plasma MIA, CRP, and Albumin Predict Cognitive Decline in Parkinson's Disease.</name><description>&lt;h4>Objective&lt;/h4>Using a multi-cohort, discovery-replication-validation design, we sought new plasma biomarkers that predict which individuals with Parkinson's disease (PD) will experience cognitive decline.&lt;h4>Methods&lt;/h4>In 108 discovery cohort PD individuals and 83 replication cohort PD individuals, we measured 940 plasma proteins on an aptamer-based platform. Using proteins associated with subsequent cognitive decline in both cohorts, we trained a logistic regression model to predict which patients with PD showed fast (> = 1 point drop/year on Montreal Cognitive Assessment [MoCA]) versus slow (&lt; 1 point drop/year on MoCA) cognitive decline in the discovery cohort, testing it in the replication cohort. We developed alternate assays for the top 3 proteins and confirmed their ability to </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Aug</publication><modification>2026-05-05T03:10:01.393Z</modification><creation>2025-04-04T20:28:48.201Z</creation></dates><accession>S-EPMC9329215</accession><cross_references><pubmed>35593028</pubmed><doi>10.1002/ana.26410</doi></cross_references></HashMap>