2025
Myelin–axon interface vulnerability in Alzheimer’s disease revealed by subcellular proteomics and imaging of human and mouse brain
Cai Y, Pinheiro-de-Sousa I, Slobodyanyuk M, Chen F, Huynh T, Kanyo J, Tang P, Fuentes L, Braker A, Welch R, Huttner A, Tong L, Yuan P, Lam T, Petsalaki E, Reimand J, Nairn A, Grutzendler J. Myelin–axon interface vulnerability in Alzheimer’s disease revealed by subcellular proteomics and imaging of human and mouse brain. Nature Neuroscience 2025, 1-18. PMID: 40514588, DOI: 10.1038/s41593-025-01973-8.Peer-Reviewed Original ResearchSubcellular proteomicsAlzheimer's diseaseFemale 5XFAD miceProteomic hitsSubcellular localizationAmyloid-bProtein aggregationLigand-receptor interactionsAD donorsLipid metabolismExpansion microscopyPostmortem human brainProteomicsAxonal outgrowthMouse brainAlzheimerNeuronal plasticityCritical sitesAberrant myelinationMyelin ensheathmentDystrophic axonsMetabolic supportMiceAxonal structureMetabolismCerebrospinal fluid and brain positron emission tomography measures of synaptic vesicle glycoprotein 2A: Biomarkers of synaptic density in Alzheimer's disease
Mecca A, Ashton N, Chen M, O'Dell R, Toyonaga T, Zhao W, Young J, Salardini E, Bates K, Ra J, Goodcase S, Silva‐Rudberg J, Nabulsi N, Brinkmalm A, Kvartsberg H, Schöll M, Nilsson J, Arnsten A, Huang Y, Hansson O, Zetterberg H, Carson R, Blennow K, van Dyck C. Cerebrospinal fluid and brain positron emission tomography measures of synaptic vesicle glycoprotein 2A: Biomarkers of synaptic density in Alzheimer's disease. Alzheimer's & Dementia 2025, 21: e70344. PMID: 40491249, PMCID: PMC12149441, DOI: 10.1002/alz.70344.Peer-Reviewed Original ResearchConceptsSynaptic vesicle glycoprotein 2APositron emission tomographyAlzheimer's diseaseSynaptic densityEnzyme-linked immunosorbent assayC]UCB-J positron emission tomographyPositron emission tomography measurementsEmission tomographyAxonal proteinsCN participantsImmunosorbent assaySymptomatic Alzheimer's diseaseAD groupProteinAssayParticipantsSV2AAlzheimerCerebrospinal fluidBrainInvestigate associationsCerebrospinal fluid assaysSV2A positron emission tomographySex differences in the confounders influencing the relationships linking socioeconomic factors and cognitive performance with family history of Alzheimer's disease and related dementias
He J, Cabrera‐Mendoza B, Friligkou E, Mecca A, van Dyck C, Pathak G, Polimanti R. Sex differences in the confounders influencing the relationships linking socioeconomic factors and cognitive performance with family history of Alzheimer's disease and related dementias. Alzheimer's & Dementia 2025, 21: e70215. PMID: 40421744, PMCID: PMC12107445, DOI: 10.1002/alz.70215.Peer-Reviewed Original ResearchConceptsSocioeconomic factorsFamily historySocioeconomic statusFamily history of Alzheimer's diseaseAssociation of socioeconomic factorsHistory of Alzheimer's diseaseUs Research ProgramCognitive performanceHigher socioeconomic statusSex-specific associationsAlzheimer's Disease AssessmentSex differencesUK BiobankADRDAlzheimer's diseaseGenetically informed analysesDementiaSample sizeSexGenetic analysisAlzheimerLimited informationStatusConfoundingBiobankAn integrative systems-biology approach defines mechanisms of Alzheimer’s disease neurodegeneration
Leventhal M, Zanella C, Kang B, Peng J, Gritsch D, Liao Z, Bukhari H, Wang T, Pao P, Danquah S, Benetatos J, Nehme R, Farhi S, Tsai L, Dong X, Scherzer C, Feany M, Fraenkel E. An integrative systems-biology approach defines mechanisms of Alzheimer’s disease neurodegeneration. Nature Communications 2025, 16: 4441. PMID: 40393985, PMCID: PMC12092734, DOI: 10.1038/s41467-025-59654-w.Peer-Reviewed Original ResearchConceptsDisease proteomicsDrosophila model of Alzheimer's diseaseAlzheimer's diseaseDisease neurodegenerationSystems-biology approachAlzheimer's disease neurodegenerationModel of Alzheimer's diseaseModify gene expressionAge-associated neurodegenerationDrosophila modelTau proteinGenetic screeningGenetic variantsGene expressionRelevant pathwaysDNA damageAmeliorate neurodegenerationDrosophilaYears of intensive investigationNeural progenitor cellsProteomicsNeurodegenerationNeuronal deathAlzheimerProgenitor cellsSubcellular proteomics and iPSC modeling uncover reversible mechanisms of axonal pathology in Alzheimer’s disease
Cai Y, Kanyo J, Wilson R, Bathla S, Cardozo P, Tong L, Qin S, Fuentes L, Pinheiro-de-Sousa I, Huynh T, Sun L, Mansuri M, Tian Z, Gan H, Braker A, Trinh H, Huttner A, Lam T, Petsalaki E, Brennand K, Nairn A, Grutzendler J. Subcellular proteomics and iPSC modeling uncover reversible mechanisms of axonal pathology in Alzheimer’s disease. Nature Aging 2025, 5: 504-527. PMID: 40065072, PMCID: PMC11922768, DOI: 10.1038/s43587-025-00823-3.Peer-Reviewed Original ResearchConceptsAlzheimer's diseaseProximity labeling approachIPSC-derived neuronsSubcellular proteomicsCytoskeleton dynamicsPhosphorylated mTOR levelsDystrophic neuritesLipid transportBiological processesProtein turnoverAD modelHuman induced pluripotent stem cellsAmyloid depositsIPSC modelsProteomicsInduced pluripotent stem cellsPluripotent stem cellsMTOR inhibitionTherapeutic targetAxonal pathologyLabeling approachMTOR levelsMouse brainSpheroid formationAlzheimerProtection against Amyloid‑β Aggregation and Ferroptosis/Oxytosis Toxicity by Arylpyrazolones: Alzheimer’s Disease Therapeutics
Soares P, Rahaman M, Maher P, Silverman R. Protection against Amyloid‑β Aggregation and Ferroptosis/Oxytosis Toxicity by Arylpyrazolones: Alzheimer’s Disease Therapeutics. ACS Medicinal Chemistry Letters 2025, 16: 294-300. PMID: 39967645, PMCID: PMC11831554, DOI: 10.1021/acsmedchemlett.4c00530.Peer-Reviewed Original ResearchAnti-Amyloid Therapies for Alzheimer’s Disease and Amyloid-Related Imaging Abnormalities: Implications for the Emergency Medicine Clinician
Rech M, Carpenter C, Aggarwal N, Hwang U. Anti-Amyloid Therapies for Alzheimer’s Disease and Amyloid-Related Imaging Abnormalities: Implications for the Emergency Medicine Clinician. Annals Of Emergency Medicine 2025, 85: 526-536. PMID: 39818674, DOI: 10.1016/j.annemergmed.2024.12.002.Peer-Reviewed Original ResearchEmergency medicine cliniciansAnti-amyloid therapiesCases of dementiaEmergency department visitsAlzheimer's diseaseDepartment visitsIschemic stroke patientsStroke patientsIncreased riskAlzheimer's disease progressionCliniciansRisk of adverse effectsAnti-amyloidDisease-modifying treatmentsAmyloid-relatedNeurodegenerative disordersImaging abnormalitiesAlzheimerAdverse effectsEmergencyDementiaAmyloid-related imaging abnormalitiesIn Vivo Head-to-Head Comparison of [18F]GTP1 with [18F]MK-6240 and [18F]PI-2620 in Alzheimer Disease
Olafson E, Tonietto M, Klein G, Teng E, Stephens A, Russell D, Pickthorn K, Bohorquez S. In Vivo Head-to-Head Comparison of [18F]GTP1 with [18F]MK-6240 and [18F]PI-2620 in Alzheimer Disease. Journal Of Nuclear Medicine 2025, 66: jnumed.124.268623. PMID: 39746756, PMCID: PMC11800736, DOI: 10.2967/jnumed.124.268623.Peer-Reviewed Original ResearchConceptsAlzheimer's diseaseAccumulation of tau neurofibrillary tanglesTau neurofibrillary tanglesOff-target regionsNeurofibrillary tanglesTau pathologyTau-PET signalTau PET tracersBinding profilesTau-PETMild ADNormal cognitionBraak regionsHead-to-head studiesAD patientsTauMagnitude of uptakeTracer bindingAlzheimerTarget regionBrain morphology mediating the effects of common genetic risk variants on Alzheimer's disease.
Breddels E, Snihirova Y, Pishva E, Gülöksüz S, Blokland G, Luykx J, Andreassen O, Linden D, van der Meer D. Brain morphology mediating the effects of common genetic risk variants on Alzheimer's disease. Journal Of Alzheimer's Disease Reports 2025, 9: 25424823251328300. PMID: 40144144, PMCID: PMC11938454, DOI: 10.1177/25424823251328300.Peer-Reviewed Original ResearchLate-onset Alzheimer's diseaseGenetic risk variantsMendelian randomizationRisk of late-onset Alzheimer's diseaseInferior lateral ventricleUK BiobankAlzheimer's Disease Neuroimaging InitiativeCausal pathwaysAlzheimer's diseaseRisk variantsClinical dataLateral ventricleNeurobiological pathwaysBiobankAlzheimerGenetic dataDiseaseAssociated with alterationsGenetic variationBrain morphologyEntorhinal cortexRiskMeasures of brain morphologyInflammaging, Neuroinflammation, and Synaptic Damage in Alzheimer's Disease
Carnevale L, Lipton S. Inflammaging, Neuroinflammation, and Synaptic Damage in Alzheimer's Disease. 2025, 303-314. DOI: 10.1016/b978-0-323-95702-1.00491-7.Peer-Reviewed Original ResearchAmyloid-betaAlzheimer's diseaseAmyloid-beta precursor proteinProteins amyloid-betaNeuronal healthDiscovery of mutationsAlzheimer's disease casesGenome sequencePresenilin-1Precursor proteinProtein functionAlzheimer's disease researchImmune signalingLipid transportProgressive neurodegenerative diseaseAlzheimer's disease patientsGenetic causeApolipoprotein E4Genes related to lipid transportSynaptic damageStress-mediated alterationsNeurodegenerative diseasesDisease pathologyProteinAlzheimer
2024
Plasma Aβ42/Aβ40 is sensitive to early cerebral amyloid accumulation and predicts risk of cognitive decline across the Alzheimer's disease spectrum
Trelle A, Young C, Vossler H, Benitez J, Cody K, Mendiola J, Swarovski M, Le Guen Y, Feinstein I, Butler R, Channappa D, Romero A, Park J, Shahid‐Besanti M, Corso N, Chau K, Smith A, Skylar‐Scott I, Yutsis M, Fredericks C, Tian L, Younes K, Kerchner G, Deutsch G, Davidzon G, Sha S, Henderson V, Longo F, Greicius M, Wyss‐Coray T, Andreasson K, Poston K, Wagner A, Mormino E, Wilson E. Plasma Aβ42/Aβ40 is sensitive to early cerebral amyloid accumulation and predicts risk of cognitive decline across the Alzheimer's disease spectrum. Alzheimer's & Dementia 2024, 21: e14442. PMID: 39713875, PMCID: PMC11848181, DOI: 10.1002/alz.14442.Peer-Reviewed Original ResearchConceptsAlzheimer's diseaseCognitive declinePositron emission tomographyAmyloid-betaTau accumulationAmyloid positivityHippocampal-dependent memoryAlzheimer's disease spectrumAmyloidAmyloid accumulationTau burdenAb accumulationRisk of cognitive declineSensitive to memoryTau positron emission tomographyAlzheimer's Disease Research CenterPredicting cognitive declineAlzheimerTauScalable biomarkersAD continuumCerebral amyloid accumulationCross-sectional associationsCI individualsAccumulationX‐chromosome-wide association study for Alzheimer’s disease
Le Borgne J, Gomez L, Heikkinen S, Amin N, Ahmad S, Choi S, Bis J, Grenier-Boley B, Rodriguez O, Kleineidam L, Young J, Tripathi K, Wang L, Varma A, Campos-Martin R, van der Lee S, Damotte V, de Rojas I, Palmal S, Lipton R, Reiman E, McKee A, De Jager P, Bush W, Small S, Levey A, Saykin A, Foroud T, Albert M, Hyman B, Petersen R, Younkin S, Sano M, Wisniewski T, Vassar R, Schneider J, Henderson V, Roberson E, DeCarli C, LaFerla F, Brewer J, Swerdlow R, Van Eldik L, Hamilton-Nelson K, Paulson H, Naj A, Lopez O, Chui H, Crane P, Grabowski T, Kukull W, Asthana S, Craft S, Strittmatter S, Cruchaga C, Leverenz J, Goate A, Kamboh M, George-Hyslop P, Valladares O, Kuzma A, Cantwell L, Riemenschneider M, Morris J, Slifer S, Dalmasso C, Castillo A, Küçükali F, Peters O, Schneider A, Dichgans M, Rujescu D, Scherbaum N, Deckert J, Riedel-Heller S, Hausner L, Molina-Porcel L, Düzel E, Grimmer T, Wiltfang J, Heilmann-Heimbach S, Moebus S, Tegos T, Scarmeas N, Dols-Icardo O, Moreno F, Pérez-Tur J, Bullido M, Pastor P, Sánchez-Valle R, Álvarez V, Boada M, García-González P, Puerta R, Mir P, Real L, Piñol-Ripoll G, García-Alberca J, Royo J, Rodriguez-Rodriguez E, Soininen H, de Mendonça A, Mehrabian S, Traykov L, Hort J, Vyhnalek M, Thomassen J, Pijnenburg Y, Holstege H, van Swieten J, Ramakers I, Verhey F, Scheltens P, Graff C, Papenberg G, Giedraitis V, Boland A, Deleuze J, Nicolas G, Dufouil C, Pasquier F, Hanon O, Debette S, Grünblatt E, Popp J, Ghidoni R, Galimberti D, Arosio B, Mecocci P, Solfrizzi V, Parnetti L, Squassina A, Tremolizzo L, Borroni B, Nacmias B, Spallazzi M, Seripa D, Rainero I, Daniele A, Bossù P, Masullo C, Rossi G, Jessen F, Fernandez V, Kehoe P, Frikke-Schmidt R, Tsolaki M, Sánchez-Juan P, Sleegers K, Ingelsson M, Haines J, Farrer L, Mayeux R, Wang L, Sims R, DeStefano A, Schellenberg G, Seshadri S, Amouyel P, Williams J, van der Flier W, Ramirez A, Pericak-Vance M, Andreassen O, Van Duijn C, Hiltunen M, Ruiz A, Dupuis J, Martin E, Lambert J, Kunkle B, Bellenguez C. X‐chromosome-wide association study for Alzheimer’s disease. Molecular Psychiatry 2024, 30: 2335-2346. PMID: 39633006, PMCID: PMC12092188, DOI: 10.1038/s41380-024-02838-5.Peer-Reviewed Original ResearchX-chromosome inactivationX chromosomeAssociation studiesAlzheimer's diseaseGenome-wide significant signalsX chromosome-wide association studyGenome-wide association studiesAD casesEscape X chromosome inactivationNon-pseudoautosomal regionRandom X-chromosome inactivationSignificant lociGenetic risk factorsGenetic landscapeLociIndex variantsSignificant signalsAlzheimerRisk factorsXq25FRMPD4Dach2PJA1XWASSignalCollaborative Survival Analysis on Predicting Alzheimer’s Disease Progression
Xu W, Wang S, Shen L, Zhao Y. Collaborative Survival Analysis on Predicting Alzheimer’s Disease Progression. Statistics In Biosciences 2024, 1-24. DOI: 10.1007/s12561-024-09459-0.Peer-Reviewed Original ResearchAlzheimer's diseaseGenes associated with neuronal developmentAlzheimer's Disease Neuroimaging InitiativeGenetic dataAlzheimer's disease progressionGenetic variationPhenotypic varianceAD progressionGenetic featuresNeuronal developmentGenetic biomarkersAlzheimerADNI databaseMild cognitive impairmentSNPsCanonical correlation analysisGenesStructural MRI scansCombination of brain imagingBrain imagingGeneticsProgression of mild cognitive impairmentAD literatureTime-to-event outcomesTime-to-event predictionsPrioritizing disease-related rare variants by integrating gene expression data
Guo H, Urban A, Wong H. Prioritizing disease-related rare variants by integrating gene expression data. PLOS Genetics 2024, 20: e1011412. PMID: 39348415, PMCID: PMC11466430, DOI: 10.1371/journal.pgen.1011412.Peer-Reviewed Original ResearchConceptsGene expression dataRare variantsExpression dataRare variant association methodsExcess of rare variantsImpact of rare variantsContext of human diseaseHuman genetic variationGenetic variationGene expressionComplex diseasesHuman diseasesGenesMolecular mechanismsFunctional consequencesRare variant typesAlzheimer's diseaseVariant typeVariantsAssociation methodStatistical frameworkSimulation studySample sizeOmicsAlzheimerCellular Prion Protein Conformational Shift after Liquid–Liquid Phase Separation Regulated by a Polymeric Antagonist and Mutations
Liu Y, Tuttle M, Kostylev M, Roseman G, Zilm K, Strittmatter S. Cellular Prion Protein Conformational Shift after Liquid–Liquid Phase Separation Regulated by a Polymeric Antagonist and Mutations. Journal Of The American Chemical Society 2024, 146: 27903-27914. PMID: 39326869, PMCID: PMC11469297, DOI: 10.1021/jacs.4c10590.Peer-Reviewed Original ResearchConceptsLiquid-liquid phase separationCellular prion proteinAssociated with neurodegenerative diseasesAmyloid-bMaturation processDisordered proteinsPrion proteinConformational shiftProtein conformationConformational changesNeurodegenerative diseasesInduction conditionsConformational statesProteinPrPMutationsPhase separationSaturating concentrationsMolecular motionSolid-like stateMaturationDisease-related cognitive deficitsNeurodegenerationInductionAlzheimerOvercoming Barriers to Latino Participation in Alzheimer's Disease Research
Ramirez K, Gigliotti C, Little E, Peavy G, Evans C, Paredes A, Pacheco-Cole L, Zlatar Z, Jacobs D, Gollan T, González H, Soria-Lopez J, Huisa B, Brewer J, Galasko D, Salmon D. Overcoming Barriers to Latino Participation in Alzheimer's Disease Research. The International Journal Of Aging And Human Development 2024, 100: 23-40. PMID: 39149977, DOI: 10.1177/00914150241268259.Peer-Reviewed Original ResearchCommunity advisory boardLatino participantsCommunity-based participatory researchAlzheimer's Disease Research CenterADRD researchOlder LatinosParticipatory researchLatino individualsOvercome barriersADRDSan Diego CountyLatino populationAdvisory BoardAlzheimer's disease researchIncreased participationProgrammatic changesLatinosBlood drawParticipantsAlzheimer's diseaseDisease researchBarriersLumbar punctureAlzheimerResearch CenterLeveraging a large language model to predict protein phase transition: A physical, multiscale, and interpretable approach
Frank M, Ni P, Jensen M, Gerstein M. Leveraging a large language model to predict protein phase transition: A physical, multiscale, and interpretable approach. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2320510121. PMID: 39110734, PMCID: PMC11331094, DOI: 10.1073/pnas.2320510121.Peer-Reviewed Original ResearchConceptsProtein phase transitionsAssociated with reduced gene expressionProtein structure predictionAlzheimer's disease-related proteinsDisease-related proteinsAlzheimer's diseaseProtein sequencesSequence variantsStructure predictionAmyloid aggregatesProtein designGene expressionAge-related diseasesNatural defense mechanismsSoluble stateProteinDefense mechanismsBiophysical featuresAlzheimerSequenceAmyloidVariantsExpressionLanguage modelComputational frameworkDevelop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data
He X, Wei R, Huang Y, Chen Z, Lyu T, Bost S, Tong J, Li L, Zhou Y, Li Z, Guo J, Tang H, Wang F, DeKosky S, Xu H, Chen Y, Zhang R, Xu J, Guo Y, Wu Y, Bian J. Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data. Alzheimer's & Dementia Diagnosis Assessment & Disease Monitoring 2024, 16: e12613. PMID: 38966622, PMCID: PMC11220631, DOI: 10.1002/dad2.12613.Peer-Reviewed Original ResearchElectronic health record dataElectronic health recordsComputable phenotypeHealth record dataManual chart reviewHealth recordsAlzheimer's diseaseDiagnosis codesRecord dataChart reviewUTHealthAlzheimer's disease patientsUniversity of MinnesotaAD diagnosisAD identificationDisease patientsPatientsAlzheimerAD patientsDemographicsDiagnosisDiseaseCodeDataUniversityTowards cascading genetic risk in Alzheimer’s disease
Altmann A, Aksman L, Oxtoby N, Young A, Weiner M, Aisen P, Petersen R, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Landau S, Rivera-Mindt M, Okonkwo O, Shaw L, Lee E, Toga A, Beckett L, Harvey D, Green R, Saykin A, Nho K, Perrin R, Tosun D, Sachdev P, Green R, Montine T, Conti C, Weiner M, Nosheny R, Fockler J, Miller M, Conti C, Kwang W, Jin C, Diaz A, Ashford M, Flenniken D, Kormos A, Petersen R, Aisen P, Rafii M, Raman R, Jimenez G, Donohue M, Salazar J, Fidell A, Boatwright V, Robison J, Zimmerman C, Cabrera Y, Walter S, Clanton T, Shaffer E, Webb C, Hergesheimer L, Smith S, Ogwang S, Adegoke O, Mahboubi P, Pizzola J, Jenkins C, Beckett L, Harvey D, Donohue M, Saito N, Diaz A, Hussen K, Okonkwo O, Rivera-Mindt M, Amaza H, Thao M, Parkins S, Ayo O, Glittenberg M, Hoang I, Germano K, Strong J, Weisensel T, Magana F, Thomas L, Guzman V, Ajayi A, Benedetto J, Talavera S, Jack C, Felmlee J, Fox N, Thompson P, DeCarli C, Forghanian-Arani A, Borowski B, Reyes C, Hedberg C, Ward C, Schwarz C, Reyes D, Gunter J, Moore-Weiss J, Kantarci K, Matoush L, Senjem M, Vemuri P, Reid R, Malone I, Thomopoulos S, Nir T, Jahanshad N, Knaack A, Fletcher E, Harvey D, Tosun-Turgut D, Chen S, Choe M, Crawford K, Yushkevich P, Das S, Jagust W, Landau S, Koeppe R, Rabinovici G, Villemagne V, LoPresti B, Perrin R, Morris J, Franklin E, Bernhardt H, Cairns N, Taylor-Reinwald L, Shaw L, Lee E, Virginia Lee M, Korecka M, Brylska M, Wan Y, Trojanowki J, Toga A, Crawford K, Neu S, Saykin A, Nho K, Foroud T, Jo T, Risacher S, Craft H, Apostolova L, Nudelman K, Faber K, Potter Z, Lacy K, Kaddurah-Daouk R, Shen L, Karlawish J, Erickson C, Grill J, Largent E, Harkins K, Weiner M, Thal L, Kachaturian Z, Frank R, Snyder P, Buckholtz N, Hsiao J, Ryan L, Molchan S, Khachaturian Z, Carrillo M, Potter W, Barnes L, Bernard M, González H, Ho C, Hsiao J, Jackson J, Masliah E, Masterman D, Okonkwo O, Perrin R, Ryan L, Silverberg N, Silbert L, Kaye J, White S, Pierce A, Thomas A, Clay T, Schwartz D, Devereux G, Taylor J, Ryan J, Nguyen M, DeCapo M, Shang Y, Schneider L, Munoz C, Ferman D, Conant C, Martin K, Oleary K, Pawluczyk S, Trejo E, Dagerman K, Teodoro L, Becerra M, Fairooz M, Garrison S, Boudreau J, Avila Y, Brewer J, Jacobson A, Gama A, Kim C, Little E, Frascino J, Ferng N, Trujillo S, Heidebrink J, Koeppe R, MacDonald S, Malyarenko D, Ziolkowski J, O'Connor J, Robert N, Lowe S, Rogers V, Petersen R, Hackenmiller B, Boeve B, Albers C, Kreuger C, Jones D, Knopman D, Botha H, Magnuson J, Graff-Radford J, Crawley K, Schumacher M, McKinzie S, Smith S, Helland T, Lowe V, Ramanan V, Pavlik V, Faircloth J, Bishop J, Nath J, Chaudhary M, Kataki M, Yu M, Pacini N, Barker R, Brooks R, Aggarwal R, Honig L, Stern Y, Mintz A, Cordona J, Hernandez M, Long J, Arnold A, Groves A, Middleton A, Vogler B, McCurry C, Mayo C, Raji C, Amtashar F, Klemp H, Elmore H, Ruszkiewicz J, Kusuran J, Stewart J, Horenkamp J, Greeson J, Wever K, Vo K, Larkin K, Rao L, Schoolcraft L, Gallagher L, Paczynski M, McMillan M, Holt M, Gagliano N, Henson R, LaBarge R, Swarm R, Munie S, Cepeda S, Winterton S, Hegedus S, Wilson T, Harte T, Bonacorsi Z, Geldmacher D, Watkins A, Barger B, Smelser B, Bates C, Stover C, McKinley E, Ikner G, Hendrix H, Cooper H, Mahaffey J, Robbins L, Ashley L, Natelson-Love M, Carter P, Solomon V, Grossman H, Groome A, Ardolino A, Kaplan A, Sheppard F, Burgos-Rivera G, Garcia-Camilo G, Lim J, Neugroschl J, Jackson K, Evans K, Soleimani L, Sano M, Ghesani N, Binder S, Apuango X, Sood A, Troutman A, Blanchard K, Richards A, Nelson G, Hendrickson K, Yurko E, Plenge J, Rufo V, Shah R, Duara R, Lynch B, Chirinos C, Dittrich C, Campbell D, Mejia D, Perez G, Colvee H, Gonzalez J, Gondrez J, Knaack J, Acevedo M, Cereijo M, Greig-Custo M, Villar M, Wishnia M, Detling S, Barker W, Albert M, Moghekar A, Rodzon B, Demsky C, Pontone G, Pekar J, Farrington L, Pomper M, Johnson N, Alo T, Sadowski M, Ulysse A, Masurkar A, Marti B, Mossa D, Geesey E, Petrocca E, Schulze E, Wong J, Boonsiri J, Kenowsky S, Martinez T, Briglall V, Doraiswamy P, Nwosu A, Adhikari A, Hellegers C, Petrella J, James O, Wong T, Hawk T, Vaishnavi S, McCoubrey H, Nasrallah I, Rovere R, Maneval J, Robinson E, Rivera F, Uffelman J, Combs M, O'Donnell P, Manning S, King R, Nieto A, Glueck A, Mandal A, Swain A, Gamble B, Meacham B, Forenback D, Ross D, Cheatham E, Hartman E, Cornell G, Harp J, Ashe L, Goins L, Watts L, Yazell M, Mandal P, Buckler R, Vincent S, Rudd T, Lopez O, Malia A, Chiado C, Zik C, Ruszkiewicz J, Savage K, Fenice L, Oakley M, Tacey P, Berman S, Bowser S, Hegedus S, Saganis X, Porsteinsson A, Mathewson A, Widman A, Holvey B, Clark E, Morales E, Young I, Ruszkiewicz J, Hopkins K, Martin K, Kowalski N, Hunt R, Calzavara R, Kurvach R, D'Ambrosio S, Thai G, Vides B, Lieb B, McAdams-Ortiz C, Toso C, Mares I, Moorlach K, Liu L, Corona M, Nguyen M, Tallakson M, McDonnell M, Rangel M, Basheer N, Place P, Romero R, Tam S, Nguyen T, Thomas A, Frolov A, Khera A, Browning A, Kelley B, Dawson C, Mathews D, Most E, Phillips E, Nguyen L, Nunez M, Miller M, Jones M, Martinez N, Logan R, McColl R, Pham S, Fox T, Moore T, Levey A, Brown A, Kippels A, Ellison A, Lyons C, Hales C, Parry C, Williams C, McCorkle E, Harris G, Rose H, Jooma I, Al-Amin J, Lah J, Webster J, Swiniarski J, Chapman L, Donnelly L, Mariotti L, Locke M, Vaughn P, Penn R, Carpentier S, Yeboah S, Basadre S, Malakauskas S, Lyron S, Villinger T, Burney T, Burns J, Abusalim A, Dahlgren A, Montero A, Arthur A, Dooly H, Kreszyn K, Berner K, Gillen L, Scanlan M, Madison M, Mathis N, Switzer P, Townley R, Fikru S, Sullivan S, Wright E, Beigi M, Daley A, Ko A, Luong B, Nyborg G, Morales J, Durbin K, Garcia L, Parand L, Macias L, Monserratt L, Farchi M, Wu P, Hernandez R, Rodriguez T, Graff-Radford N, Marolt A, Thomas A, Aloszka D, Moncayo E, Westerhold E, Day G, Chrestensen K, Imhansiemhonehi M, McKinzie S, Stephens S, Grant S, Brosch J, Perkins A, Saunders A, Kovac D, Polson H, Mwaura I, Mejia K, Britt K, King K, Nichols K, Lawrence K, Rankin L, Farlow M, Wiesenauer P, Bryant R, Herring S, Lynch S, Wilson S, Day T, Korst W, van Dyck C, Mecca A, Miller A, Brennan A, Khan A, Ruan A, Gunnoud C, Mendonca C, Raynes-Goldfinger D, Salardini E, Hidalgo E, Cooper E, Singh E, Murphy E, May J, Stanhope J, Lam J, Waszak J, Nelsen K, Sacaza K, Hasbani M, Donahue M, Chen M, Barcelos N, Eigenberger P, Bonomi R, O'Dell R, Jefferson S, Khasnavis S, Smilowitz S, DeStefano S, Good S, Camarro T, Clayton V, Cavrel Y, Lu Y, Chertkow H, Bergman H, Hosein C, Black S, Kapadia A, Bhan A, Lam B, Scott C, Gabriel G, Bray J, Zotovic L, Gutierrez M, Masellis M, Farshadi M, Gui M, Mitchell M, Taylor R, Endre R, Taghi-Zada Z, Hsiung R, English C, Kim E, Yau E, Tong H, Barlow L, Jennings L, Assaly M, Nunes P, Marian T, Kertesz A, Rogers J, Trost D, Wint D, Bernick C, Munic D, Grant I, Korkoyah A, Raja A, Lapins A, Ryan C, Pejic J, Basham K, Lukose L, Haddad L, Quinlan L, Houghtaling N, MD C, MD W, MD T, Reynolds B, Forero A, Ward C, Brennan E, Figueroa E, Esposito G, Mallory J, Johnson K, Turner K, Seidenberg K, McCann K, Bassett M, Chadwick M, Turner R, Bean R, Sharma S, Marshall G, Haviari A, Pietras A, Wallace B, Munro C, Rivera-Delpin G, Hustead H, Levesque I, Ramirez J, Nolan K, Glennon K, Palou M, Erkkinen M, DaSilva N, Friedman P, Silver R, Salazar R, Polleys R, McGinnis S, Gale S, Hall T, Luu T, Chao S, Lin E, Coleman J, Epperson K, Vasanawala M, Atri A, Rangel A, Evans B, Monarrez C, Cline C, Liebsack C, Bandy D, Goldfarb D, Intorcia D, Olgin J, Clark K, King K, York K, Reade M, Callan M, Glass M, Johnson M, Gutierrez M, Goddard M, Trncic N, Choudhury P, Reyes P, Lowery S, Hall S, Olgin S, de Santiago S, Alosco M, Ton A, Jimenez A, Ellison A, Tran A, Anderson B, Carter D, Veronelli D, Lenio S, Steinberg E, Mez J, Weller J, Johns J, Mez J, Harkins J, Puleio A, Hoti I, Mwicigi J, Puleio A, Alosco M, Schultz O, Lauture M, Steinberg E, Denis R, Killiany R, Singh S, Lenio S, Qiu W, Devis Y, Obisesan T, Stone A, Ordor D, Udodong I, Okonkwo I, Khan J, Turner J, Hughes K, Kadiri O, Duffy C, Moss A, Stapleton K, Toth M, Sanders M, Ayres M, Hamski M, Fatica P, Ogrocki P, Ash S, Pot S, Chen D, Soto A, Tanase C, Bissig D, Vanya H, Russell H, Patel H, Zhang H, Wallace K, Ayers K, Gallegos M, Forloines M, Sinn M, Kahulugan Q, Isip R, Calderon S, Hamm T, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Perrin A, Tariot P, Fleisher A, Reeder S, Capote H, Emborsky A, Mattle A, Ajtai B, Wagner B, Myers B, Slazyk D, Fragale D, Fransen E, Macnamara H, Falletta J, Hirtreiter J, Mechtler L, King M, Asbach M, Rainka M, Zawislak R, Wisniewski S, O'Malley S, Jimenez-Knight T, Peehler T, Aladeen T, Bates V, Wenner V, Elmalik W, Scharre D, Ramamurthy A, Bouchachi S, Kataki M, Tarawneh R, Kelley B, Celmins D, Leader A, Figueroa C, Bauerle H, Patterson K, Reposa M, Presto S, Ahmed T, Stewart W, Pearlson G, Blank K, Anderson K, Santulli R, Schwartz E, Williamson J, Jessup A, Williams A, Duncan C, O'Connell A, Gagnon K, Zamora E, Bateman J, Crawford F, Thompson D, Walker E, Rowell J, White M, Ledford P, Bohlman S, Henkle S, Bottoms J, Moretz L, Hoover B, Shannon M, Rogers S, Baker W, Harrison W, Wu C, DeMarco A, Stipanovich A, Arcuri D, Clark J, Davis J, Doyon K, Amoyaw M, Acosta M, Bailey R, Warren S, Fogerty T, Sanborn V, Hospital B, Riddle M, Salloway S, Malloy P, Correia S, Windon C, Blackburn M, Rosen H, Miller B, Smith A, Mba I, Echevarria J, Janavs J, Roglaski E, Yong M, Devine R, Okhravi H, Rivera E, Kalowsky T, Smith C, Rosario C, Masdeu J, Le R, Gurung M, Sabbagh M, Garcia A, Slaughter M, Elayan N, Acothley S, Pomara N, Hernando R, Pomara V, Reichert C, Brawman-Mintzer O, Acree A, Williams A, Long C, Long R, Newhouse P, Hill S, Boegel A, Seshadri S, Saklad A, Jones F, Hu W, Sotelo V, Rojas Y, Mintzer J, Longmire C, Spicer K, Alexander D, Barkhof F, Shoai M, Hardy J, Schott J. Towards cascading genetic risk in Alzheimer’s disease. Brain 2024, 147: 2680-2690. PMID: 38820112, PMCID: PMC11292901, DOI: 10.1093/brain/awae176.Peer-Reviewed Original ResearchConceptsLate-onset Alzheimer's diseaseAlzheimer's diseaseGenetic riskDevelopment of late-onset Alzheimer's diseaseGenome-wide association studiesPolygenic riskAlzheimer's Disease Neuroimaging Initiative cohortPolygenic risk scoresStage-dependent fashionAssociation studiesYears of educationCox proportional hazards modelsAPOE effectsProportional hazards modelA+TContribution of apoEAPOE-e4Targeted interventionsMolecular processesATN frameworkE4 homozygotesRisk scoreStage-dependent effectsInitiative cohortAlzheimerTopology-based Clustering of Functional Brain Networks in an Alzheimer's Disease Cohort.
Xu F, Gao M, Chen J, Garai S, Duong-Tran D, Zhao Y, Shen L. Topology-based Clustering of Functional Brain Networks in an Alzheimer's Disease Cohort. AMIA Joint Summits On Translational Science Proceedings 2024, 2024: 449-458. PMID: 38827100, PMCID: PMC11141857.Peer-Reviewed Original ResearchFunctional brain networksDistance kernelBrain networksUnsupervised clustering techniquesMedial temporal lobeMachine learning methodsTopology-based clusteringSpectral clusteringClustering algorithmClustering techniqueLearning methodsAlzheimer's disease cohortProgressive neurodegenerative diseaseNetwork neuroscienceFunctional MRI modalitiesFunctional topologyAlzheimer's diseaseNeurodegenerative diseasesWhole-brain phenomenonNetworkBrain functional topologyKernelInvestigate variationsAlzheimerFunctional connectivity
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply