{"doi":"10.1002/alz.70783","title":"A systematic comparison of ATN biomarkers for monitoring longitudinal cognitive changes in Alzheimer's disease","abstract":"<jats:title>Abstract</jats:title>\n                  <jats:sec>\n                    <jats:title>INTRODUCTION</jats:title>\n                    <jats:p>\n                      With anti‐amyloid beta (Aβ) therapies approved for Alzheimer's disease (AD), surrogate biomarkers are needed to monitor clinical treatment efficacy. Therefore, we systematically compared longitudinal changes in A/T/N biomarkers (amyloid‐positron emission tomography [PET], tau‐PET, plasma phosphorylated tau at threonine 217 [p‐tau\n                      <jats:sub>217</jats:sub>\n                      ], and magnetic resonance imaging) for tracking cognitive changes.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS</jats:title>\n                    <jats:p>\n                      We analyzed longitudinal biomarker and cognitive change rates from the Alzheimer's Disease Neuroimaging Initiative (\n                      <jats:italic>N </jats:italic>\n                      = 141) and Anti‐Amyloid Treatment in Asymptomatic Alzheimer's (A4) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) (\n                      <jats:italic>N</jats:italic>\n                       = 151), estimated using linear mixed models. Using linear models, we tested biomarker changes as predictors of cognitive changes, comparing predictive strengths across biomarkers using bootstrapping.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS</jats:title>\n                    <jats:p>Tau‐PET, plasma p‐tau217, and cortical thickness changes accurately tracked change rates in Mini‐Mental State Examination, Alzheimer's Disease Assessment Scale‐Cognitive Subscale 13‐item version, Clinical Dementia Rating‐Sum of Boxes, and Preclinial Alzheimer Cognitive Composite scores. In contrast, amyloid‐PET change rates were not linked to cognitive changes.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION</jats:title>\n                    <jats:p>\n                      Plasma p‐tau\n                      <jats:sub>217</jats:sub>\n                      offers a cost‐effective AD‐specific alternative to tau‐PET and could potentially be implemented for monitoring cognitive changes in AD trials, while amyloid‐PET lacks utility. Cortical thickness changes accurately track cognitive changes but may be confounded by pseudo‐atrophy in anti‐Aβ treatments.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Highlights</jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>\n                            Longitudinal changes in tau‐PET, plasma p‐tau\n                            <jats:sub>217</jats:sub>\n                            , cortical thickness – but not amyloid‐PET – effectively track cognitive decline.\n                          </jats:p>\n                        </jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Cortical thickness may be confounded by pseudo‐atrophy in anti‐Aβ trials.</jats:p>\n                        </jats:list-item>\n                        <jats:list-item>\n                          <jats:p>\n                            Plasma p‐tau\n                            <jats:sub>217</jats:sub>\n                            is a robust and cost‐effective alternative to tau‐PET as an AD‐specific surrogate biomarker for monitoring cognitive changes.\n                          </jats:p>\n                        </jats:list-item>\n                      </jats:list>\n                    </jats:p>\n                  </jats:sec>","journal":"Alzheimer's &amp; Dementia","year":2025,"id":598378,"datarank":0.24141568686511508,"base_score":1.6094379124341003,"endowment":1.6094379124341003,"self_citation_contribution":0.24141568686511508,"citation_network_contribution":0.0,"self_endowment_contribution":0.24141568686511508,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":871511,"name":"Anna Steward","orcid":"0000-0002-8438-3760","position":1,"is_corresponding":false},{"id":253513,"name":"Anna Dewenter","orcid":"0000-0002-5636-196X","position":2,"is_corresponding":false},{"id":1018672,"name":"Amir Dehsarvi","orcid":"0000-0001-7116-9741","position":3,"is_corresponding":false},{"id":331272,"name":"Zeyu Zhu","orcid":"0000-0002-9218-9351","position":4,"is_corresponding":false},{"id":1533226,"name":"Sebastian N Roemer‐Cassiano","orcid":null,"position":5,"is_corresponding":false},{"id":253514,"name":"Lukas Frontzkowski","orcid":"0000-0001-9321-956X","position":6,"is_corresponding":false},{"id":955190,"name":"Fabian Hirsch","orcid":"0000-0002-5370-4031","position":7,"is_corresponding":false},{"id":84323,"name":"Carla Palleis","orcid":"0000-0002-4331-8145","position":8,"is_corresponding":false},{"id":84329,"name":"Günter Höglinger","orcid":null,"position":9,"is_corresponding":false},{"id":65410,"name":"Matthias Brendel","orcid":"0000-0002-9247-2843","position":10,"is_corresponding":false},{"id":84338,"name":"Nicolai Franzmeier","orcid":"0000-0001-9736-2283","position":11,"is_corresponding":false},{"id":813066,"name":"Davina Biel","orcid":"0000-0002-2597-1992","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A systematic comparison of ATN biomarkers for monitoring longitudinal cognitive changes in Alzheimer's disease","abstract":"<jats:title>Abstract</jats:title>\n                  <jats:sec>\n                    <jats:title>INTRODUCTION</jats:title>\n                    <jats:p>\n                      With anti‐amyloid beta (Aβ) therapies approved for Alzheimer's disease (AD), surrogate biomarkers are needed to monitor clinical treatment efficacy. Therefore, we systematically compared longitudinal changes in A/T/N biomarkers (amyloid‐positron emission tomography [PET], tau‐PET, plasma phosphorylated tau at threonine 217 [p‐tau\n                      <jats:sub>217</jats:sub>\n                      ], and magnetic resonance imaging) for tracking cognitive changes.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS</jats:title>\n                    <jats:p>\n                      We analyzed longitudinal biomarker and cognitive change rates from the Alzheimer's Disease Neuroimaging Initiative (\n                      <jats:italic>N </jats:italic>\n                      = 141) and Anti‐Amyloid Treatment in Asymptomatic Alzheimer's (A4) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) (\n                      <jats:italic>N</jats:italic>\n                       = 151), estimated using linear mixed models. Using linear models, we tested biomarker changes as predictors of cognitive changes, comparing predictive strengths across biomarkers using bootstrapping.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS</jats:title>\n                    <jats:p>Tau‐PET, plasma p‐tau217, and cortical thickness changes accurately tracked change rates in Mini‐Mental State Examination, Alzheimer's Disease Assessment Scale‐Cognitive Subscale 13‐item version, Clinical Dementia Rating‐Sum of Boxes, and Preclinial Alzheimer Cognitive Composite scores. In contrast, amyloid‐PET change rates were not linked to cognitive changes.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION</jats:title>\n                    <jats:p>\n                      Plasma p‐tau\n                      <jats:sub>217</jats:sub>\n                      offers a cost‐effective AD‐specific alternative to tau‐PET and could potentially be implemented for monitoring cognitive changes in AD trials, while amyloid‐PET lacks utility. Cortical thickness changes accurately track cognitive changes but may be confounded by pseudo‐atrophy in anti‐Aβ treatments.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Highlights</jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>\n                            Longitudinal changes in tau‐PET, plasma p‐tau\n                            <jats:sub>217</jats:sub>\n                            , cortical thickness – but not amyloid‐PET – effectively track cognitive decline.\n                          </jats:p>\n                        </jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Cortical thickness may be confounded by pseudo‐atrophy in anti‐Aβ trials.</jats:p>\n                        </jats:list-item>\n                        <jats:list-item>\n                          <jats:p>\n                            Plasma p‐tau\n                            <jats:sub>217</jats:sub>\n                            is a robust and cost‐effective alternative to tau‐PET as an AD‐specific surrogate biomarker for monitoring cognitive changes.\n                          </jats:p>\n                        </jats:list-item>\n                      </jats:list>\n                    </jats:p>\n                  </jats:sec>","is_dataset_classified":null,"base_score":1.6094379124341003,"endowment":1.6094379124341003,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41126448","pmcid":"PMC12545699","openalex_id":"https://openalex.org/W4415507562","authors":[],"funders":[{"funder_name":"Alzheimer's Association","grant_id":"AARG‐22‐973496","title":null},{"funder_name":"Alzheimer's Association","grant_id":"AARG-22-973496","title":null},{"funder_name":"Munich Cluster for Systems Neurology","grant_id":"EXC2145SyNergy-ID390857198","title":null},{"funder_name":"NIA NIH HHS","grant_id":"R01 AG063689","title":null}],"total_grants":4,"fwci":3.2973,"citation_percentile":0.92994783,"influential_citations":0,"citation_trend":[{"year":2025,"count":1},{"year":2026,"count":3}],"oa_status":"hybrid","license":"cc-by","oa_locations":[{"url":"https://doi.org/10.1002/alz.70783","host_type":"journal"},{"url":"https://doi.org/10.1002/alz.70783","host_type":"publisher"},{"url":"https://alz-journals.onlinelibrary.wiley.com/doi/pdf/10.1002/alz.70783","host_type":"publisher"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41126448","host_type":"repository"},{"url":"http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-129550-1","host_type":"repository"},{"url":"https://pub.dzne.de/record/281802","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12545699","host_type":"repository"},{"url":"https://epub.ub.uni-muenchen.de/129550/1/Alzheimer_s___Dementia_-_2025_-_Biel_-_A_systematic_comparison_of_ATN_biomarkers_for_monitoring_longitudinal_cognitive.pdf","host_type":"repository"},{"url":"https://pub.dzne.de/record/281802/files/DZNE-2025-01188.pdf","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC12545699","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC12545699?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Dementia and Cognitive Impairment Research","Alzheimer's disease research and treatments","Cancer-related cognitive impairment studies"],"mesh_terms":["Aged","Aged, 80 and over","Alzheimer Disease","Brain","Cognition","Female","Humans","Longitudinal Studies","Magnetic Resonance Imaging","Male","Biomarkers","Amyloid beta-Peptides","tau Proteins","Positron-Emission Tomography","Cognitive Dysfunction"],"keywords":["Cognition","Disease","Biomarker","Cognitive decline","Cognitive impairment","Alzheimer's disease","Cortical Thickness","Treatment Monitoring","Plasma Phosphorylated Tau","P‐Tau","Amyloid‐pet","Tau‐Pet"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[{"name":"nct"}],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-28T15:36:14.846828Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}