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960 citation(s) found for "Boeve, Bradley".

IC‐P‐060: MRS differentiates MCI patients who progress to dementia with Lewy bodies and Alzheimer's disease
Zhang, Bing , Maroney‐Smith, Mandie, Petersen, Ronald C. , Ferman, Tanis J. , Boeve, Bradley F. , Smith, Glenn E. , Knopman, David S. , Jack, Clifford R. , Kantarci, Kejal

Mayo Clinic

Alzheimer's & Dementia | October 9, 2013 | Volume: 9 | Issue: 4S_Part_1 | Pages: No page available

10.1016/j.jalz.2013.05.056 Get It

Imaging prodromal FTD
Rabinovici, Gil D. , Boeve, Bradley F. , Rabinovici, Gil D

Mayo Clinic

Neurology | September 5, 2013 | Volume: 81 | Issue: 15 | Pages: 1282-1283

10.1212/wnl.0b013e3182a82591 | PMID 24005338 Get It

Restless legs syndrome and daytime sleepiness are prominent in myotonic dystrophy type 2
Lam, Erek M., Shepard, Paul W., Louis, Erik K. St. , Dueffert, Lucas G., Slocumb, Nancy L., McCarter, Stuart J. , Silber, Michael H. , Olson, Eric J. , Milone, Margherita , Boeve, Bradley F. , Somers, Virend K. , St Louis, E K , McCarter, Stuart J

Mayo Clinic

Neurology | June 8, 2013 | Volume: 81 | Issue: 2 | Pages: 157-164

10.1212/wnl.0b013e31829a340f | PMID 23749798 Get It

Midbrain atrophy is not a biomarker of progressive supranuclear palsy pathology
Whitwell, Jennifer L. , Parisi, Joseph E., Gunter, Jeffrey L. , Weigand, Stephen D. , Ahlskog, J. Eric , Petersen, Ronald C. , Dickson, Dennis W. , Josephs, Keith A. , Jack, Clifford R. , Boeve, Bradley F. , Dickson, Dennis W

Mayo Clinic

European Journal of Neurology | June 7, 2013 | Volume: 20 | Issue: 10 | Pages: 1417-1422

10.1111/ene.12212 | PMID 23746093 Get It

Background and purposeMidbrain atrophy is a characteristic feature of progressive supranuclear palsy (PSP), although it is unclear whether it is associated with the PSP syndrome (PSPS) or PSP pathology. The aim of the present study was to determine whether midbrain atrophy is a useful biomarker of PSP pathology, or whether it is only associated with typical PSPS.MethodsAll autopsy‐confirmed subjects were identified with the PSP clinical phenotype (i.e. PSPS) or PSP pathology and a volumetric MRI. Of 24 subjects with PSP pathology, 11 had a clinical diagnosis of PSPS (PSP‐PSPS), and 13 had a non‐PSPS clinical diagnosis (PSP‐other). Three subjects had PSPS and corticobasal degeneration pathology (CBD‐PSPS). Healthy control and disease control groups (i.e. a group without PSPS or PSP pathology) and a group with CBD pathology and corticobasal syndrome (CBD‐CBS) were selected. The midbrain area was measured in all subjects. [Correction added on 21 June 2013, after first online publication: the abbreviation of corticobasal degeneration pathology was changed from CBD‐PSP to CBD‐PSPS.]ResultsThe midbrain area was reduced in each group with clinical PSPS (with and without PSP pathology). The group with PSP pathology and non‐PSPS clinical syndromes did not show reduced midbrain area. Midbrain area was smaller in the subjects with PSPS than in those without PSPS (P < 0.0001), with an area under the receiver operator curve of 0.99 (0.88, 0.99). A midbrain area cut‐point of 92 mm2 provided optimum sensitivity (93%) and specificity (89%) for differentiation.ConclusionMidbrain atrophy is associated with the clinical presentation of PSPS, but not with the pathological diagnosis of PSP in the absence of clinical PSPS. This finding has important implications for the utility of midbrain measurements as diagnostic biomarkers for PSP pathology.
TMEM106B p.T185S regulates TMEM106B protein levels: implications for frontotemporal dementia
Nicholson, Alexandra M., Finch, NiCole A., Wojtas, Aleksandra, Baker, Matt , Perkerson, Ralph B., Castanedes‐Casey, Monica , Rousseau, Linda , Benussi, Luisa , Binetti, Giuliano , Ghidoni, Roberta , Hsiung, Ging‐Yuek Robin , Mackenzie, Ian R. , Finger, Elizabeth , Ertekin‐Taner, Nilüfer , Graff‐Radford, Neill R. , Dickson, Dennis W. , Rademakers, Rosa , Finger, Elizabeth C. , Boeve, Bradley F. , Dickson, Dennis W , Hsiung, Gink-Yuek

Mayo Clinic

Journal of Neurochemistry | June 6, 2013 | Volume: 126 | Issue: 6 | Pages: 781-791

10.1111/jnc.12329 | PMID 23742080 Get It

AbstractFrontotemporal lobar degeneration (FTLD) is the second leading cause of dementia in individuals under age 65. In many patients, the predominant pathology includes neuronal cytoplasmic or intranuclear inclusions of ubiquitinated TAR DNA binding protein 43 (FTLD‐TDP). Recently, a genome‐wide association study identified the first FTLD‐TDP genetic risk factor, in which variants in and around the TMEM106B gene (top SNP rs1990622) were significantly associated with FTLD‐TDP risk. Intriguingly, the most significant association was in FTLD‐TDP patients carrying progranulin (GRN) mutations. Here, we investigated to what extent the coding variant, rs3173615 (p.T185S) in linkage disequilibrium with rs1990622, affects progranulin protein (PGRN) biology and transmembrane protein 106 B (TMEM106B) regulation. First, we confirmed the association of TMEM106B variants with FTLD‐TDP in a new cohort of GRN mutation carriers. We next generated and characterized a TMEM106B‐specific antibody for investigation of this protein. Enzyme‐linked immunoassay analysis of progranulin protein levels showed similar effects upon T185 and S185 TMEM106B over‐expression. However, over‐expression of T185 consistently led to higher TMEM106B protein levels than S185. Cycloheximide treatment experiments revealed that S185 degrades faster than T185 TMEM106B, potentially due to differences in N‐glycosylation at residue N183. Together, our results provide a potential mechanism by which TMEM106B variants lead to differences in FTLD‐TDP risk. image We studied the p.T185S TMEM106B genetic variant previously implicated in frontotemporal dementia with TAR DNA binding protein 43 pathology caused by progranulin mutations. Our cell culture studies provide evidence that the protective S185 isoform is degraded more rapidly than T185 TMEM106B, potentially due to differences in glycosylation. These findings suggest that low TMEM106B levels might protect against FTLD‐TDP in these patients.
Mild cognitive impairment due to Alzheimer disease in the community
Petersen, Ronald C. , Aisen, Paul , Geda, Yonas E. , Ivnik, Robert J., Mielke, Michelle M. , Roberts, Rosebud O., Rocca, Walter A. , Weigand, Stephen D. , Weiner, Michael W. , Wiste, Heather J. , Boeve, Bradley F. , Knopman, David S. , Pankratz, V. Shane , Jack, Clifford R. , Mielke, Michelle M , Geda, Yonas E

Mayo Clinic

Annals of Neurology | May 20, 2013 | Volume: 74 | Issue: 2 | Pages: 199-208

10.1002/ana.23931 | PMID 23686697 Get It

Objective The newly proposed National Institute on Aging–Alzheimer's Association (NIA‐AA) criteria for mild cognitive impairment (MCI) due to Alzheimer disease (AD) suggest a combination of clinical features and biomarker measures, but their performance in the community is not known. Methods The Mayo Clinic Study of Aging (MCSA) is a population‐based longitudinal study of nondemented subjects in Olmsted County, Minnesota. A sample of 154 MCI subjects from the MCSA was compared to a sample of 58 amnestic MCI subjects from the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI‐1) to assess the applicability of the criteria in both settings and to assess their outcomes. Results Fourteen percent of MCSA and 16% of ADNI‐1 of subjects were biomarker negative. In addition, 14% of MCSA and 12% of ADNI‐1 subjects had evidence for amyloid deposition only, whereas 43% of MCSA and 55% of ADNI‐1 subjects had evidence for amyloid deposition plus neurodegeneration (magnetic resonance imaging atrophy, fluorodeoxyglucose positron emission tomography hypometabolism, or both). However, a considerable number of subjects had biomarkers inconsistent with the proposed AD model; for example, 29% of MCSA subjects and 17% of ADNI‐1 subjects had evidence for neurodegeneration without amyloid deposition. These subjects may not be on an AD pathway. Neurodegeneration appears to be a key factor in predicting progression relative to amyloid deposition alone. Interpretation The NIA‐AA criteria apply to most MCI subjects in both the community and clinical trials settings; however, a sizeable proportion of subjects had conflicting biomarkers, which may be very important and need to be explored. Ann Neurol 2013;74:199–208
Association of diabetes with amnestic and nonamnestic mild cognitive impairment
Roberts, Rosebud O., Geda, Yonas E. , Cha, Ruth H., Baertlein, Luke , Tangalos, Eric G., Ivnik, Robert J., Mielke, Michelle M. , Petersen, Ronald C. , Knopman, David S. , Cha, Ruth H., Pankratz, V. Shane , Boeve, Bradley F. , Mielke, Michelle M , Geda, Yonas E

Mayo Clinic

Alzheimer's & Dementia | April 4, 2013 | Volume: 10 | Issue: 1 | Pages: 18-26

10.1016/j.jalz.2013.01.001 | PMID 23562428 Get It

AbstractBackgroundType 2 diabetes may increase the risk of amnestic mild cognitive impairment (aMCI) through Alzheimer's disease (AD)‐related and vascular pathology and may also increase the risk of nonamnestic MCI (naMCI) through vascular disease mechanisms. We examined the association of type 2 diabetes with mild cognitive impairment (MCI) and MCI subtype (aMCI and naMCI) overall and by sex.MethodsParticipants were Olmsted County, Minnesota residents (70 years and older) enrolled in a prospective, population‐based study. At baseline and every 15 months thereafter, participants were evaluated using the Clinical Dementia Rating scale, a neurological evaluation, and neuropsychological testing for a diagnosis of normal cognition, MCI, and dementia by a consensus panel. Type 2 diabetes was ascertained from the medical records of participants at baseline.ResultsOver a median 4.0 years of follow‐up, 348 of 1450 subjects developed MCI. Type 2 diabetes was associated (hazard ratio [95% confidence interval]) with MCI (1.39 [1.08–1.79]), aMCI (1.58 [1.17–2.15]; multiple domain: 1.58 [1.01–2.47]; single domain: 1.49 [1.09–2.05]), and the hazard ratio for naMCI was elevated (1.37 [0.84–2.24]). Diabetes was strongly associated with multiple‐domain aMCI in men (2.42 [1.31–4.48]) and an elevated risk of multiple domain naMCI in men (2.11 [0.70–6.33]), and with single domain naMCI in women (2.32 [1.04–5.20]).ConclusionsDiabetes was associated with an increased risk of MCI in elderly persons. The association of diabetes with MCI may vary with subtype, number of domains, and sex. Prevention and control of diabetes may reduce the risk of MCI and Alzheimer's disease.