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Murray, Melissa E

0000-0001-7379-2545

Mayo Clinic

Mayo Clinic

Citations 141

The limbic and neocortical contribution of α‐synuclein, tau, and amyloid β to disease duration in dementia with Lewy bodies
Ferman, Tanis J. , Aoki, Naoya , Murray, Melissa E. , Graff‐Radford, Neill R. , Gerpen, Jay A. van, Uitti, Ryan J. , Graff‐Radford, Jonathan, Pedraza, Otto , Kantarci, Kejal , Crook, Julia E. , Van Gerpen, Jay A, Kantarci, Kejal , Murray, Melissa E , Ferman, Tanis J , Wszołek, Zbigniew K. , Graff‐Radford, Jonathan , Boeve, Bradley F. , Dickson, Dennis W.

Alzheimer's & Dementia | October 31, 2017 | Volume: 14 | Issue: 3 | Pages: 330-339

10.1016/j.jalz.2017.09.014 Get It

AbstractIntroductionWe sought to assess the individual and combined contribution of limbic and neocortical α‐synuclein, tau, and amyloid β (Aβ) to duration of illness in dementia with Lewy bodies (DLB).MethodsQuantitative digital pathology of limbic and neocortical α‐synuclein, tau, and Aβ was assessed in 49 patients with clinically probable DLB. Regression modeling examined the unique and shared contribution of each pathology to the variance of illness duration.ResultsPatients with diffuse Lewy body disease had more severe pathology of each type and a shorter duration of illness than individuals with transitional Lewy body disease. The three pathologies accounted for 25% of the total variance of duration of illness, with 19% accounted for by α‐synuclein alone or in combination with tau and Aβ. When the diffuse Lewy body disease group was examined separately, α‐synuclein deposition significantly exceeded that of tau and Aβ. In this model, 20% of 24% total variance in the model for duration of illness was accounted for independently by α‐synuclein.DiscussionIn DLB, α‐synuclein is an important predictor of disease duration, both independently and synergistically with tau and Aβ.
Conserved brain myelination networks are altered in Alzheimer's and other neurodegenerative diseases
Allen, Mariet , Wang, Xue , Burgess, Jeremy D. , Serie, Daniel, Younkin, Curtis, Nguyen, Thuy , Malphrus, Kimberly G., Lincoln, Sarah, Carrasquillo, Minerva M. , Ho, Charlotte C.G. , Chakrabarty, Paramita , Strickland, Samantha L. , Murray, Melissa E. , Geschwind, Daniel H. , Seyfried, Nicholas T. , Dammer, Eric B. , Levey, Allan I. , Golde, Todd E. , Funk, Cory C. , Li, Hongdong , Price, Nathan D. , Petersen, Ronald C. , Graff‐Radford, Neill R. , Younkin, Steven G. , Crook, Julia, Asmann, Yan W. , Ertekin‐Taner, Nilüfer , Watzlawik, Jens, Serie, Daniel J, Younkin, Curtis S, Ho, Charlotte, Crook, Julia R, Price, Nathan D , Murray, Melissa E , Watzlawik, Jens O. , Carrasquillo, Minerva M. , Swarup, Vivek , Lah, James J. , Li, Hongdong, Dickson, Dennis W. , Dammer, Eric B , Levey, Allan I

Alzheimer's & Dementia | October 31, 2017 | Volume: 14 | Issue: 3 | Pages: 352-366

10.1016/j.jalz.2017.09.012 Get It

Abstract Introduction Comparative transcriptome analyses in Alzheimer's disease (AD) and other neurodegenerative proteinopathies can uncover both shared and distinct disease pathways. Methods We analyzed 940 brain transcriptomes including patients with AD, progressive supranuclear palsy (PSP; a primary tauopathy), and control subjects. Results We identified transcriptional coexpression networks implicated in myelination, which were lower in PSP temporal cortex (TCX) compared with AD. Some of these associations were retained even after adjustments for brain cell population changes. These TCX myelination network structures were preserved in cerebellum but they were not differentially expressed in cerebellum between AD and PSP. Myelination networks were downregulated in both AD and PSP, when compared with control TCX samples. Discussion Downregulation of myelination networks may underlie both PSP and AD pathophysiology, but may be more pronounced in PSP. These data also highlight conservation of transcriptional networks across brain regions and the influence of cell type changes on these networks.
Amyloid PET scan
Chételat, Gaël , Murray, Melissa E. , Murray, Melissa E

Neurology | October 19, 2017 | Volume: 89 | Issue: 20 | Pages: 2029-2030

10.1212/wnl.0000000000004678 Get It

Regional analysis and genetic association of nigrostriatal degeneration in Lewy body disease
Kasanuki, Koji , Diehl, Nancy N. , Murray, Melissa E. , Koga, Shunsuke , Soto, Alexandra I., Ross, Owen A. , Dickson, Dennis W. , Koga, Shunsuke , Soto, Alexandra, Dickson, Dennis W , Ross, Owen A , Murray, Melissa E , Heckman, Michael G.

Movement Disorders | September 26, 2017 | Volume: 32 | Issue: 11 | Pages: 1584-1593

10.1002/mds.27184 Get It

ABSTRACTBackgroundA number of genetic loci are associated with risk for Parkinson's disease (PD) based on genome‐wide association studies; however, the relationship between genetic variants and nigrostriatal degeneration, which is the structural correlate of parkinsonism, has not been reported.ObjectivesWe quantified nigrostriatal dopaminergic integrity with image analysis of putaminal tyrosine hydroxylase immunoreactivity in 492 brains with Lewy body disease and used this pathologic endophenotype to explore possible association with PD genetic variants.MethodsThe study cases had Lewy‐related pathology and variable degrees of nigrostriatal degeneration. They were assigned to one of the following clinical subgroups according to their predominant clinical syndrome: parkinsonism‐predominant, parkinsonism+dementia, and dementia‐predominant. In addition to putaminal tyrosine hydroxylase immunoreactivity, semiquantitative scoring was used to assess substantia nigra neuronal loss. A total of 29 PD genetic risk variants were genotyped on each case.ResultsWhen compared with controls, tyrosine hydroxylase immunoreactivity was reduced in Lewy body cases in the dorsolateral (79%) and ventromedial (57%) putamen. The dorsolateral region was better preserved in dementia‐predominant cases than in cases with parkinsonism. Dorsolateral putaminal tyrosine hydroxylase immunoreactivity correlated with neuronal loss in the ventrolateral substantia nigra. Genetic analyses showed no significant association of PD risk variants with putaminal tyrosine hydroxylase immunoreactivity.ConclusionsThe results confirm regional differences in putaminal dopaminergic degeneration and vulnerability of nigrostriatal pathway in Lewy body disorders with parkinsonism. The lack of association with PD genetic risk variants suggests that they may not be associated with quantitative endophenotypes of nigrostriatal degeneration, but more likely related to the risk of disease per se. © 2017 International Parkinson and Movement Disorder Society
Evaluation of Amyloid Protective Factors and Alzheimer Disease Neurodegeneration Protective Factors in Elderly Individuals
Vemuri, Prashanthi , Lesnick, Timothy G. , Przybelski, Scott A. , Mielke, Michelle M. , Graff‐Radford, Jonathan , Murray, Melissa E. , Roberts, Rosebud O., Vassilaki, Maria , Lowe, Val J. , Petersen, Ronald C. , Jack, Clifford R. , Knopman, David S. , Machulda, Mary M. , Jones, David T. , Jack, Clifford R , Mielke, Michelle M , Vemuri, Prashanthi , Murray, Melissa E

JAMA Neurology | April 18, 2017 | Volume: 74 | Issue: 6 | Pages: 718

10.1001/jamaneurol.2017.0244 Get It

Consensus classification of posterior cortical atrophy
Crutch, Sebastian J. , Schott, Jonathan M. , Rabinovici, Gil D. , Murray, Melissa E. , Flier, Wiesje M. van der , Vandenberghe, Rik , Ahmed, Samrah , Bak, Thomas H. , Boeve, Bradley F., Butler, Christopher , Cappa, Stefano F. , Ceccaldi, Mathieu, Souza, Leonardo Cruz de , Dubois, Bruno, Félician, Olivier , Graff‐Radford, Jonathan , Graff‐Radford, Neill R. , Hof, Patrick R., Krolak‐Salmon, Pierre , Lehmann, Manja , Magnin, Éloi , Mendez, Mario F. , Nestor, Peter J. , Onyike, Chiadi U. , Pelak, Victoria S. , Pijnenburg, Yolande A.L. , Primativo, Silvia , Rossor, Martin N. , Ryan, Natalie S. , Scheltens, Philip , González, Aida Suárez, Tang‐Wai, David F. , Yong, Keir , Carrillo, María C. , Fox, Nick C. , Murray, Melissa, Snowden, Julie S. , Dickerson, Bradford Clark , Boeve, Bradley F. , Galasko, Douglas , Hof, Patrick R. , Shakespeare, Timothy J. , Gonzalez, Aida Suarez , Murray, Melissa E , van der Flier, Wiesje M , Scheltens, Philip , Fox, Nick C , Yong, Keir X X , Rabinovici, Gil D , Schott, Jonathan M , Pijnenburg, Yolande A L , Vandenberghe, Rik

Alzheimer's & Dementia | March 2, 2017 | Volume: 13 | Issue: 8 | Pages: 870-884

10.1016/j.jalz.2017.01.014 Get It

Abstract Introduction A classification framework for posterior cortical atrophy (PCA) is proposed to improve the uniformity of definition of the syndrome in a variety of research settings. Methods Consensus statements about PCA were developed through a detailed literature review, the formation of an international multidisciplinary working party which convened on four occasions, and a Web‐based quantitative survey regarding symptom frequency and the conceptualization of PCA. Results A three‐level classification framework for PCA is described comprising both syndrome‐ and disease‐level descriptions. Classification level 1 (PCA) defines the core clinical, cognitive, and neuroimaging features and exclusion criteria of the clinico‐radiological syndrome. Classification level 2 (PCA‐pure, PCA‐plus) establishes whether, in addition to the core PCA syndrome, the core features of any other neurodegenerative syndromes are present. Classification level 3 (PCA attributable to AD [PCA‐AD], Lewy body disease [PCA‐LBD], corticobasal degeneration [PCA‐CBD], prion disease [PCA‐prion]) provides a more formal determination of the underlying cause of the PCA syndrome, based on available pathophysiological biomarker evidence. The issue of additional syndrome‐level descriptors is discussed in relation to the challenges of defining stages of syndrome severity and characterizing phenotypic heterogeneity within the PCA spectrum. Discussion There was strong agreement regarding the definition of the core clinico‐radiological syndrome, meaning that the current consensus statement should be regarded as a refinement, development, and extension of previous single‐center PCA criteria rather than any wholesale alteration or redescription of the syndrome. The framework and terminology may facilitate the interpretation of research data across studies, be applicable across a broad range of research scenarios (e.g., behavioral interventions, pharmacological trials), and provide a foundation for future collaborative work.
Increased cytoplasmic TDP-43 reduces global protein synthesis by interacting with RACK1 on polyribosomes
Russo, Arianna, Scardigli, Raffaella , Regina, Federico La, Murray, Melissa E. , Ceci, Marcello , Romano, Nicla , Dickson, Dennis W. , Wolozin, Benjamin , Cattaneo, Antonino , Murray, Melissa E

Human Molecular Genetics | February 3, 2017 | Volume: 26 | Issue: 8 | Pages: 1407-1418

10.1093/hmg/ddx035 Get It

Imaging markers of cerebrovascular pathologies: Pathophysiology, clinical presentation, and risk factors
Raman, Mekala R., Kantarci, Kejal , Murray, Melissa E. , Vemuri, Prashanthi , Jack, Clifford R. , Vemuri, Prashanthi , Kantarci, Kejal , Murray, Melissa E

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | December 18, 2016 | Volume: 5 | Issue: 1 | Pages: 5-14

10.1016/j.dadm.2016.12.006 Get It

AbstractCerebrovascular pathologies (CVPs) are common pathologies associated with age‐related cognitive decline along with Alzheimer disease pathologies. The impact of CVP on the prevalence of dementia is increasingly being recognized. The goal of this review is to improve our understanding of the pathophysiological underpinnings and the multimodal magnetic resonance imaging and positron emission tomography imaging changes that are associated with the hallmarks of CVP. This knowledge will facilitate the development of early detection, intervention, and prevention strategies that may contribute to lowering the risk of dementia. In this review, we will first discuss currently known risk factors of CVPs including cardiovascular, lifestyle, genetic, sex differences, and head injury. Next, we will focus on the pathophysiology of CVPs and their impact on neurodegeneration and downstream cognitive impairment. Specifically, we will discuss three of the most common cerebrovascular lesions seen on MRI: white‐matter hyperintensity, microbleeds, and infarcts. Finally, we will discuss the unanswered open questions in this field.