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Nudelman, Kelly N

0000-0003-4040-1717

Mayo Clinic

Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN.

Citations 4

Amyloid PET in Sporadic Early‐ Versus Late‐Onset Alzheimer's Disease: Comparison of the LEADS and ADNI
Lagarde, Julien , Blazhenets, Ganna , Zhang, J. , Eloyan, Ani , Thangarajah, Maryanne, Taurone, Alexander, Allen, Isabel Elaine , Soleimani‐Meigooni, David N. , Zeltzer, Ehud , Windon, Charles , Raya, Maison Abu , Smith, Karen, Shankar, Ranjani , Amuiri, Alinda, Rocha, Salma, Hammers, Dustin B. , Dage, Jeffrey L. , Kirby, Kala, Aisen, Paul, Koeppe, Robert, Landau, Susan, Carrillo, María C. , Touroutoglou, Alexandra , Brickhouse, Michael , Raman, Rema , Day, Gregory S. , Duara, Ranjan, Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Grant, Ian , Rogalskı, Emily , Johnson, Erik C. B. , Salloway, Stephen , Sha, Sharon J. , Turner, Raymond Scott , Wingo, Thomas S. , Apostolova, Liana G. , Joie, Renaud La , Rabinovici, Gil D. , Blazhenets, Ganna , Soleimani-Meigooni, David , Zeltzer, Ehud , Windon, Charles , Abu Raya, Maison , Vrillon, Agathe , Nudelman, Kelly N , Vemuri, Prashanthi , Day, Gregory S , Masdeu, Joseph C , Musiek, Erik , Sha, Sharon , Wingo, Thomas S , La Joie, Renaud , Rabinovici, Gil D , Dage, Jeffrey L , Maiti, Piyush , Schonhaut, Daniel R. , Hammers, Dustin B , Nudelman, Kelly , Kirby, Kala, Vemuri, Prashanthi , Beckett, Laurel , Atri, Alireza , Honig, Lawrence S. , Jones, David T., Womack, Kyle , Wolk, David A. , Dickerson, Bradford Clark

Annals of Neurology | March 17, 2025 | Volume: 98 | Issue: 2 | Pages: 236-248

10.1002/ana.27233 Get It

Objective Early‐onset Alzheimer's disease (EOAD) and late‐onset Alzheimer's disease (LOAD) differ in many respects. Here, we address the issue of possible differences in fibrillar amyloid pathology as measured by positron emission tomography (PET), which remains unresolved due to the lack of large‐scale comparative studies. Methods Three hundred ninety‐nine cognitively impaired participants younger than 65 years of age from the multicenter Longitudinal Early‐onset Alzheimer's Disease Study (LEADS) and 450 cognitively impaired participants older than 65 years from the Alzheimer's Disease Neuroimaging Initiative (ADNI) underwent clinical assessment, brain magnetic resonance imaging (MRI), and amyloid PET and were included in this study. We compared amyloid PET outcomes (positivity rate based on visual read and quantified tracer uptake expressed as Centiloids [CLs]) between the 2 cohorts and studied their association with age, sex, APOE genotype, and cognition. Results The amyloid positivity rate was higher in LEADS (78%, 95% confidence interval [CI] = 74–82) than in ADNI (71%, 95% CI = 67–75, p = 0.02). Lower Mini‐Mental State Examination (MMSE) and APOE4 genotype increased the odds of amyloid positivity in both cohorts. Visually positive scans had higher CLs in LEADS (EOAD, mean = 95.3 ± 26.1) than in ADNI (LOAD, mean = 80.9 ± 36.8, p < 0.0001), predominantly in parietal cortex/precuneus, superior temporal, and frontal cortices. In amyloid‐positive patients, (1) CLs were higher in female patients in both cohorts; (2) APOE4 carriership was associated with lower CLs in EOAD, which was not observed in LOAD; and (3) correlations between CLs and MMSE scores were significantly stronger in EOAD than in LOAD. Interpretation Differences in the burden of amyloid pathology may contribute to differences in clinical and anatomic patterns in sporadic EOAD and LOAD, and have implications for optimizing therapeutic strategies in each group. ANN NEUROL 2025;98:236–248
The Longitudinal Early‐onset Alzheimer's Disease Study (LEADS): Framework and methodology
Apostolova, Liana G. , Aisen, Paul , Eloyan, Ani , Fagan, Anne M. , Fargo, Keith N. , Gatsonis, Constantine , Grinberg, Lea T. , Jack, Clifford R. , Kramer, Joel H. , Kukull, Walter A. , Murray, Melissa E. , Nudelman, Kelly , Rumbaugh, Malia, Vemuri, Prashanthi , Trullinger, Amy, Iaccarino, Leonardo , Day, Gregory S. , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Rogalskı, Emily , Salloway, Steve , Wingo, Thomas S. , Carrillo, María C. , Rabinovici, Gil D. , Jack, Clifford R , Vemuri, Prashanthi , Day, Gregory S , Murray, Melissa E , Grinberg, Lea , Rabinovici, Gil D , Nudelman, Kelly N , Wingo, Thomas S , Foroud, Tatiana , Koeppe, Robert A. , Toga, Arthur W. , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Musiek, Erik , Wolk, David A. , Dickerson, Bradford Clark

Alzheimer's & Dementia | May 21, 2021 | Volume: 17 | Issue: 12 | Pages: 2043-2055

10.1002/alz.12350 Get It

AbstractPatients with early‐onset Alzheimer's disease (EOAD) are commonly excluded from large‐scale observational and therapeutic studies due to their young age, atypical presentation, or absence of pathogenic mutations. The goals of the Longitudinal EOAD Study (LEADS) are to (1) define the clinical, imaging, and fluid biomarker characteristics of EOAD; (2) develop sensitive cognitive and biomarker measures for future clinical and research use; and (3) establish a trial‐ready network. LEADS will follow 400 amyloid beta (Aβ)‐positive EOAD, 200 Aβ‐negative EOnonAD that meet National Institute on Aging–Alzheimer's Association (NIA‐AA) criteria for mild cognitive impairment (MCI) or AD dementia, and 100 age‐matched controls. Participants will undergo clinical and cognitive assessments, magnetic resonance imaging (MRI), [18F]Florbetaben and [18F]Flortaucipir positron emission tomography (PET), lumbar puncture, and blood draw for DNA, RNA, plasma, serum and peripheral blood mononuclear cells, and post‐mortem assessment. To develop more effective AD treatments, scientists need to understand the genetic, biological, and clinical processes involved in EOAD. LEADS will develop a public resource that will enable future planning and implementation of EOAD clinical trials.
Genome‐wide transcriptome analysis identifies novel dysregulated genes implicated in Alzheimer's pathology
Nudelman, Kelly , Allen, Mariet , Hodges, Angela , Kim, Sungeun , Risacher, Shannon L. , Apostolova, Liana G. , Lin, Kuang, Lunnon, Katie , Wang, Xue , Burgess, Jeremy D. , Ertekin‐Taner, Nilüfer , Petersen, Ronald C. , Wang, Lisu, Qi, Zhenhao, He, Aiqing, Neuhaus, Isaac , Patel, Vishal , Faber, Kelley , Lovestone, Simon , Simmons, Andrew , Weiner, Michael W. , Initiative, for the Alzheimer's Disease Neuroimaging, Nudelman, Kelly N , Nho, Kwangsik T. , Neuhaus, Isaac, Foroud, Tatiana , Saykin, Andrew J. , Initiative, for the Alzheimer's Disease Neuroimaging

Alzheimer's & Dementia | August 5, 2020 | Volume: 16 | Issue: 9 | Pages: 1213-1223

10.1002/alz.12092 Get It

AbstractIntroductionAbnormal gene expression patterns may contribute to the onset and progression of late‐onset Alzheimer's disease (LOAD).MethodsWe performed transcriptome‐wide meta‐analysis (N = 1440) of blood‐based microarray gene expression profiles as well as neuroimaging and cerebrospinal fluid (CSF) endophenotype analysis.ResultsWe identified and replicated five genes (CREB5, CD46, TMBIM6, IRAK3, and RPAIN) as significantly dysregulated in LOAD. The most significantly altered gene, CREB5, was also associated with brain atrophy and increased amyloid beta (Aβ) accumulation, especially in the entorhinal cortex region. cis‐expression quantitative trait loci mapping analysis of CREB5 detected five significant associations (P < 5 × 10−8), where rs56388170 (most significant) was also significantly associated with global cortical Aβ deposition measured by [18F]Florbetapir positron emission tomography and CSF Aβ1‐42.DiscussionRNA from peripheral blood indicated a differential gene expression pattern in LOAD. Genes identified have been implicated in biological processes relevant to Alzheimer's disease. CREB, in particular, plays a key role in nervous system development, cell survival, plasticity, and learning and memory.