[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-459343-105":3,"detail-sidebar-cat-0-en-105":80,"doc-detail-459343-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":73,"head_meta":75,"extra_data":77,"updated_unix":79},105,"en","plasma-biomarker-association-with-cognition-in-uganda-poster-presentation","Plasma Biomarker Association with Cognition in Uganda - Poster Presentation","","Background: Over 60% of individuals with ADRDs live in low- and middle-income countries, where Sub-Saharan Africa is projected to see rapid growth in older adults, including people living with HIV. Plasma ADRD biomarkers could support diagnosis, yet prior evidence has largely focused on the Global North. This study evaluated associations between plasma ADRD biomarkers and cognition in the Uganda Aging Cohort Study.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/healthcare/","Healthcare",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/plasma-biomarker-association-with-cognition-in-uganda-poster-presentation/459343/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/plasma-biomarker-association-with-cognition-in-uganda-poster-presentation/459343.png","ImageObject",300,407,{"name":42,"@type":43},"Ezra","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-11-08","2026-09-30",true,{"@type":52,"interactionType":53,"userInteractionCount":30},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"What study population was used to assess plasma biomarker–cognition links in Uganda?","Question",{"text":62,"@type":63},"The analysis used the Uganda Aging Cohort Study, including adults with people living with HIV on antiretroviral therapy and demographically similar HIV-uninfected individuals recruited for comparison.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"Which plasma biomarkers were measured and how were they analyzed?",{"text":67,"@type":63},"Blood was processed from EDTA tubes and frozen for biomarker assays. p-tau217, Aβ42/40, and p-tau217/Aβ42 were measured with Fujirebio Lumipulse, while GFAP and NfL were measured with Quanterix Simoa; associations were modeled using multivariable regressions with cognitive-domain outcomes.",{"name":69,"@type":60,"acceptedAnswer":70},"What were the main findings about biomarker associations with cognition?",{"text":71,"@type":63},"Higher plasma NfL was associated with worse overall cognition and multiple cognitive domains. Higher plasma GFAP was linked to worse executive function and increased odds of cognitive impairment in that domain, while p-tau217 and amyloid-related measures were not associated with cognition.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},459343,1790755742,{"code":4,"msg":81,"data":82},"success",[83,87,91,95,100,105,109,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":84,"show_sort_weight":85,"slug":86},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":88,"show_sort_weight":89,"slug":90},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":92,"show_sort_weight":93,"slug":94},"Exam",70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":107,"slug":108},7,40,"healthcare",{"id":110,"doc_module":4,"doc_module_name":25,"category_name":111,"show_sort_weight":112,"slug":113},8,"Research & Report",30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":96,"slug":129},19,"General","general",{"code":4,"msg":81,"data":131},{"doc_id":78,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":106,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":30,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":30,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":79,"read_time":110,"preview_page_count":4},1099514068035,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","DOI: 10. 1002/alz70856_106808  \nBIOMARKERS  \nPOSTER PRESENTATION  \nBIOMARKERS (NON-NEUROIMAGING)  \nPlasma Biomarker Association with Cognition in Uganda  \nJeremy A. Tanner1  \nGabrielle Hromas 1 Noeline Nakasujja4 Meredith Greene7  \n Roslyn Valdespino 1  Tiffany F. Kautz 1  Godfrey Masette2  Chen-Pin Wang 1  Jayandra Jung Himali 1  Robert Paul3   Zahra Reynolds5  Flavia Atwine2  Edna Tindimwebwa6   Eliza Passell5  Christine S Ritchie5  Susanne S Hoeppner5  \nAlexander C Tsai5  Janet Seeley8  Lawren VandeVrede9  Amy Werry 1  Elena Tsoy9  Katherine L. Possin 10  Josephine E Prynn 11  Suzanne E. Schindler 12 Sudha Seshadri 1  Samson Okello 13  Stephen Asiimwe6  Deanna Saylor 13  Mark J Siedner5  \n1 University of Texas Health San Antonio, San Antonio, TX, USA  \n2 Mbarara University of Science & Technology (MUST), Mbarara, Uganda  \n3 University of Missouri, St Louis, MO, USA  \n4 Makerere University, Kampala, Central, Uganda  \n5 Massachusetts General Hospital (MGH), Boston, MA, USA  \n6 Kabwohe Clinical Research Center (KCRC), Kabwohe, Uganda  \n7 Indiana University School of Medicine., Indianapolis, IN, USA  \n8 London School of Hygiene and Tropical Medicine, London, United Kingdom  \n9 University of California San Francisco, San Francisco, CA, USA  \n10 Global Brain Health Institute (GBHI), University of California San Francisco (UCSF);& Trinity College Dublin, San Francisco, CA, USA  \n11 King’s College London, Strand, London, United Kingdom  \n12Washington University in St. Louis, St. Louis, MO, USA  \n13 University of North Carolina, Chapel Hill, NC, USA  \nCorrespondence  \nAbstract  \nBackground: Over 60% of individuals with ADRDs live in low- and middle-income countries (LMICs). Sub-Saharan Africa (SSA) is projected to have the fastest growth in older adults, including people living with HIV (PLWH). Plasma ADRD biomarkers are promising diagnostic tools, but studies have been limited to the Global North. We evaluated the association of plasma ADRD biomarkers with cognition in the Uganda Aging Cohort Study (UACS), a prospective cohort of PLWH on antiretroviral therapy and demographically similar HIV-uninfected individuals recruited via populationsampling approaches.  \nMethod: Blood samples were collected in EDTA tubes, centrifuged, aliquoted, and frozen at -80◦ C at semi-urban (n = 320) and rural (n = 330) sites. Plasma was shipped to the UTHSA Biggs Laboratory. p-tau217, Aβ42/40, and p-tau217/Aβ42 were measured on Fujirebio Lumipulse, and GFAP and NfL on Quanterix Simoa. Rural site Aβ42/40 and p-tau217/Aβ42 did not pass quality control due to cold-chain storage complications and were excluded from this analysis. Cognitive evaluations used locally validated tests. Raw scores were converted to regression-based Z-scores and averaged at the domain and overall level. Jak/Bondi criteria defined presence/absence of cognitive impairment. Multivariable regressions assessed associations between log-transformed plasma biomarkers and cognitive outcomes adjusting for age, sex, education, site, and eGFR. Sensitivity analyses adjusted for HIV serostatus.  \nThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.  \n© 2025 The Alzheimer’s Association. Alzheimer’s & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer’s Association.  \nAlzheimer’s Dement. 2025;21(Suppl. 2):e106808.  \n[https://doi.org/10.1002/alz70856_106808](https://doi.org/10.1002/alz70856_106808)  \nwi[leyonlinelibrary.com/journal/alz](leyonlinelibrary.com/journal/alz)  \n1of3  \nJeremy A. Tanner, University of Texas Health San Antonio, San Antonio, TX, USA. [Email:](Email: Tannerj1@uthscsa.edu)[ Tannerj1@uthscsa.edu](Email: Tannerj1@uthscsa.edu)  \nResult: 560 total participants (49% PLWH) were included, and average age was 60.3 years (Table 1). Elevated plasma NfL was associated with worse overall cognition, learning/memory, attention","cbCaisIHyOK1knvY","https://ap.wps.com/l/cbCaisIHyOK1knvY","pdf",895626,"English","# Abstract\n## Background\n## Method\n## Results\n## Conclusion","[{\"question\":\"What study population was used to assess plasma biomarker–cognition links in Uganda?\",\"answer\":\"The analysis used the Uganda Aging Cohort Study, including adults with people living with HIV on antiretroviral therapy and demographically similar HIV-uninfected individuals recruited for comparison.\"},{\"question\":\"Which plasma biomarkers were measured and how were they analyzed?\",\"answer\":\"Blood was processed from EDTA tubes and frozen for biomarker assays. p-tau217, Aβ42/40, and p-tau217/Aβ42 were measured with Fujirebio Lumipulse, while GFAP and NfL were measured with Quanterix Simoa; associations were modeled using multivariable regressions with cognitive-domain outcomes.\"},{\"question\":\"What were the main findings about biomarker associations with cognition?\",\"answer\":\"Higher plasma NfL was associated with worse overall cognition and multiple cognitive domains. Higher plasma GFAP was linked to worse executive function and increased odds of cognitive impairment in that domain, while p-tau217 and amyloid-related measures were not associated with cognition.\"}]","Plasma Biomarker Association with Cognition in Uganda - Poster Presentation | PDF"]