Jacob Alexander Cleary, Ashish Kumar, Suzanne Craft, Gagan Deep
Extracellular vesicles (EVs) have emerged as novel blood-based biomarkers for various pathologies. The development of methods to enrich cell-specific EVs from biofluids has enabled us to monitor difficult-to-access organs, such as the brain, in real time without disrupting their function, thus serving as liquid biopsy. Burgeoning evidence indicates that the contents of neuron-derived EVs (NDEs) in blood reveal dynamic alterations that occur during neurodegenerative pathogenesis, including Alzheimer's disease (AD), reflecting a disease-specific molecular signature. Among these AD-specific molecular changes is brain insulin-signaling dysregulation, which cannot be assessed clinically in a living patient and remains an unexplained co-occurrence during AD pathogenesis. This review is focused on delineating how NDEs in the blood may begin to close the gap between identifying molecular changes associated with brain insulin dysregulation reliably in living patients and its connection to AD. This approach could lead to the identification of novel early and less-invasive diagnostic molecular biomarkers for AD.
{"title":"Neuron-derived extracellular vesicles as a liquid biopsy for brain insulin dysregulation in Alzheimer's disease and related disorders","authors":"Jacob Alexander Cleary, Ashish Kumar, Suzanne Craft, Gagan Deep","doi":"10.1002/alz.14497","DOIUrl":"https://doi.org/10.1002/alz.14497","url":null,"abstract":"Extracellular vesicles (EVs) have emerged as novel blood-based biomarkers for various pathologies. The development of methods to enrich cell-specific EVs from biofluids has enabled us to monitor difficult-to-access organs, such as the brain, in real time without disrupting their function, thus serving as liquid biopsy. Burgeoning evidence indicates that the contents of neuron-derived EVs (NDEs) in blood reveal dynamic alterations that occur during neurodegenerative pathogenesis, including Alzheimer's disease (AD), reflecting a disease-specific molecular signature. Among these AD-specific molecular changes is brain insulin-signaling dysregulation, which cannot be assessed clinically in a living patient and remains an unexplained co-occurrence during AD pathogenesis. This review is focused on delineating how NDEs in the blood may begin to close the gap between identifying molecular changes associated with brain insulin dysregulation reliably in living patients and its connection to AD. This approach could lead to the identification of novel early and less-invasive diagnostic molecular biomarkers for AD.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"43 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142987937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arenn F. Carlos, Stephen D. Weigand, Nha Trang Thu Pham, Ronald C. Petersen, Clifford R. Jack, Dennis W. Dickson, Jennifer L. Whitwell, Keith A. Josephs
Greater white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) are seen with transactive response DNA-binding protein 43 (TDP-43) pathology in frontotemporal lobar degeneration (FTLD-TDP). WMH associations with TDP-43 pathology in Alzheimer's disease (AD-TDP) remain unclear.
{"title":"White matter hyperintensities and TDP-43 pathology in Alzheimer's disease","authors":"Arenn F. Carlos, Stephen D. Weigand, Nha Trang Thu Pham, Ronald C. Petersen, Clifford R. Jack, Dennis W. Dickson, Jennifer L. Whitwell, Keith A. Josephs","doi":"10.1002/alz.14516","DOIUrl":"https://doi.org/10.1002/alz.14516","url":null,"abstract":"Greater white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) are seen with transactive response DNA-binding protein 43 (TDP-43) pathology in frontotemporal lobar degeneration (FTLD-TDP). WMH associations with TDP-43 pathology in Alzheimer's disease (AD-TDP) remain unclear.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"43 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142987804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Medicare's Annual Wellness Visit (AWV) is a logical opportunity for early detection of cognitive impairment, but recent data for uptake and cognitive assessments during it are lacking.
{"title":"Usage patterns of cognitive assessments during Medicare's Annual Wellness Visit: A national survey","authors":"Ying Liu, Tabasa Ozawa, Soeren Mattke","doi":"10.1002/alz.14539","DOIUrl":"https://doi.org/10.1002/alz.14539","url":null,"abstract":"Medicare's Annual Wellness Visit (AWV) is a logical opportunity for early detection of cognitive impairment, but recent data for uptake and cognitive assessments during it are lacking.","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"37 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142987942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Annie Rhodes, Ashley Staton, Evan French, Andrea Price, Brian Battle, Catherine MacDonald, Kimberly Ivey, Faika Zanjani, Rachel Coney, Melicent Miller, Meghan Farkas, Lana Sargent, Daniel Bluestein
INTRODUCTIONThe Virginia Memory Project (VMP) is a statewide epidemiological registry for Alzheimer's disease and related disorders (ADRD) and other neurodegenerative conditions. It aims to support dementia research, policy, and care by leveraging the Centers for Disease Control (CDC) Healthy Brain Initiative (HBI) Roadmap.METHODSTo capture comprehensive data, the VMP integrates self‐enrollment and automatic enrollment using Virginia's All‐Payer Claims Database (APCD). It also adapts Behavioral Risk Factors Surveillance Survey (BRFSS) modules for self‐reported cognitive and caregiving data, offering connections to research, clinical services, and education.RESULTSVirginia successfully codified the VMP in the 2024 general assembly session.DISCUSSIONThe VMP demonstrates a novel approach to Alzheimer's Disease and Related Disorders (ADRD) surveillance by combining traditional registry functions with community engagement and workforce development. Future efforts will focus on increasing enrollment, especially among underrepresented groups, to enhance data‐driven dementia policy and care in Virginia.HighlightsIntegrated the Healthy Brain Initiative (HBI) domains into the newest statewide epidemiological dementia registry in the Commonwealth of Virginia.Collected data and identified gaps in the current research related to dementia and Alzheimer's related diseases.Aimed to mitigate barriers to dementia registry enrollment by identifying significant underdiagnosis and underrepresentation of racial and ethnic minority groups.Developed solutions to alleviate the current data and enrollment disparities and to connect individuals to research, physicians, and community groups.
{"title":"Virginia Memory Project: Using the Healthy Brain Initiative Roadmap to design a statewide dementia registry","authors":"Annie Rhodes, Ashley Staton, Evan French, Andrea Price, Brian Battle, Catherine MacDonald, Kimberly Ivey, Faika Zanjani, Rachel Coney, Melicent Miller, Meghan Farkas, Lana Sargent, Daniel Bluestein","doi":"10.1002/alz.14478","DOIUrl":"https://doi.org/10.1002/alz.14478","url":null,"abstract":"INTRODUCTIONThe Virginia Memory Project (VMP) is a statewide epidemiological registry for Alzheimer's disease and related disorders (ADRD) and other neurodegenerative conditions. It aims to support dementia research, policy, and care by leveraging the Centers for Disease Control (CDC) Healthy Brain Initiative (HBI) Roadmap.METHODSTo capture comprehensive data, the VMP integrates self‐enrollment and automatic enrollment using Virginia's All‐Payer Claims Database (APCD). It also adapts Behavioral Risk Factors Surveillance Survey (BRFSS) modules for self‐reported cognitive and caregiving data, offering connections to research, clinical services, and education.RESULTSVirginia successfully codified the VMP in the 2024 general assembly session.DISCUSSIONThe VMP demonstrates a novel approach to Alzheimer's Disease and Related Disorders (ADRD) surveillance by combining traditional registry functions with community engagement and workforce development. Future efforts will focus on increasing enrollment, especially among underrepresented groups, to enhance data‐driven dementia policy and care in Virginia.Highlights<jats:list list-type=\"bullet\"> <jats:list-item>Integrated the Healthy Brain Initiative (HBI) domains into the newest statewide epidemiological dementia registry in the Commonwealth of Virginia.</jats:list-item> <jats:list-item>Collected data and identified gaps in the current research related to dementia and Alzheimer's related diseases.</jats:list-item> <jats:list-item>Aimed to mitigate barriers to dementia registry enrollment by identifying significant underdiagnosis and underrepresentation of racial and ethnic minority groups.</jats:list-item> <jats:list-item>Developed solutions to alleviate the current data and enrollment disparities and to connect individuals to research, physicians, and community groups.</jats:list-item> </jats:list>","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"4 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142986271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Richard H. Swartz, R. Stewart Longman, M. Patrice Lindsay, Rebecca Lund, Aravind Ganesh, Gail A. Eskes, Melissa Austin, Lauren E. Bechard, Jaspreet Bhangu, Venera C. Bruto, Sherri Carter, Nelly Chow, Yan Deschaintre, Kathleen Fedorchuk, Lesley Fellows, Norine Foley, Lee-Anne Greer, Douglas S. Lee, Carol Leonard, Ronak Patel, Sepideh Poonyania, Valerie Poulin, Fatima Quraishi, Pamela Roach, Tricia Shoniker, Carmen Tuchak, Anita Mountain, Chelsy Martin, Eric E. Smith, the Canadian Stroke Best Practice Recommendations Advisory Committee, in collaboration with the Canadian Stroke Consortium, Canadian Neurological Sciences Federation, and CanStroke Recovery Trials Platform