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Goldfarb, Danielle

Mayo Clinic

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Citations 4

Cerebral white matter rarefaction has both neurodegenerative and vascular causes and may primarily be a distal axonopathy
Beach, Thomas G. , Sue, Lucia I., Scott, Sarah, Intorcia, Anthony J., Walker, Jessica E. , Arce, Richard, Glass, Michael J. , Borja, Claryssa I., Cline, Madison P. , Hemmingsen, Spencer J, Qiji, Sanaria H., Stewart, Analisa M. , Martinez, Kayleigh N, Krupp, Addison, McHattie, Rylee, Mariner, Monica, Lorenzini, Ileana , Kuramoto, Angela, Long, Kathy E., Tremblay, Cécilia , Caselli, Richard J. , Woodruff, Bryan K. , Rapscak, Steven Z., Belden, Christine M. , Goldfarb, Danielle, Driver‐Dunckley, Erika , Mehta, Shyamal H. , Shill, Holly A. , Driver-Dunckley, Erika D., Adler, C H , Choudhury, Parichita , Sabbagh, Marwan Noel , Atri, Alireza , Adler, Charles H. , Serrano, Geidy E.

Journal of Neuropathology & Experimental Neurology | April 18, 2023 | Volume: 82 | Issue: 6 | Pages: 457-466

10.1093/jnen/nlad026 Get It

Abstract Cerebral white matter rarefaction (CWMR) was considered by Binswanger and Alzheimer to be due to cerebral arteriolosclerosis. Renewed attention came with CT and MR brain imaging, and neuropathological studies finding a high rate of CWMR in Alzheimer disease (AD). The relative contributions of cerebrovascular disease and AD to CWMR are still uncertain. In 1181 autopsies by the Arizona Study of Aging and Neurodegenerative Disorders (AZSAND), large-format brain sections were used to grade CWMR and determine its vascular and neurodegenerative correlates. Almost all neurodegenerative diseases had more severe CWMR than the normal control group. Multivariable logistic regression models indicated that Braak neurofibrillary stage was the strongest predictor of CWMR, with additional independently significant predictors including age, cortical and diencephalic lacunar and microinfarcts, body mass index, and female sex. It appears that while AD and cerebrovascular pathology may be additive in causing CWMR, both may be solely capable of this. The typical periventricular pattern suggests that CWMR is primarily a distal axonopathy caused by dysfunction of the cell bodies of long-association corticocortical projection neurons. A consequence of these findings is that CWMR should not be viewed simply as “small vessel disease” or as a pathognomonic indicator of vascular cognitive impairment or vascular dementia.
Unified Parkinson’s Disease Rating Scale (UPDRS) motor score subscale trajectories in Dementia with Lewy Bodies and Parkinson Disease Dementia in a community autopsy cohort
Adler, Charles, Shill, Holly A. , Mehta, Shyamal, Driver‐Dunckley, Erika, Choi, Alexander S., Belden, Christine M. , Goldfarb, Danielle, Beach, Thomas G. , Choudhury, Parichita , Zhang, Nan , Chen, Kewei , Shprecher, David , Mehta, Shyamal H. , Driver‐Dunckley, Erika , Choi, Alexander, Serrano, Geidy E. , Atri, Alireza

Alzheimer's & Dementia | December 20, 2022 | Volume: 18 | Issue: S7 | Pages: No page available

10.1002/alz.066727 Get It

AbstractBackgroundWe previously reported that in our autopsy‐confirmed cohort of Dementia with Lewy Bodies (DLB), Parkinson’s Disease Dementia (PDD) and Alzheimer’s Disease (AD), DLB with parkinsonism (DLB+Park) predicted faster progression of UPDRS‐III scores compared to PDD, DLB without parkinsonism (DLB‐Park), and AD. This study examined annualized rate of change of UPDRS‐III subscales in our cohort.MethodsData included were from participants in Arizona Study of Aging and Neurodegenerative Diseases (AZSAND) with clinicopathologic diagnosis of DLB (n = 48), PDD (n = 98) or pure AD (n = 48), and longitudinal movement exams. Mixed effects model (accounting for age, education, and sex) was used to determine predicted mean UPDRS‐III and subscale scores (0‐4) for all groups. Individual UPDRS‐III subscale scores were derived for: Body Bradykinesia, Limb Bradykinesia, Gait, Postural Instability, Limb Rest Tremor, Neck Rigidity and Limb Rigidity. Where applicable, scores for multiple limbs involved were averaged.ResultsLongitudinal data was analyzed for over 1430‐participant years. Parkinsonism was present in 65.6% of DLB participants. PDD participants were more likely to be treated with dopaminergic agents (87.8%) compared to (p<0.001) DLB+Park (57.6%), DLB‐park (0%) and AD (2.1%). Frequency (29.4% vs. 29.0%) and severity (mean±SE = 0.4±0.07 and 0.4±0.12) of Limb Rest Tremor was similar for PDD and DLB+park. Limb Bradykinesia frequency and severity were PDD: 100%, 2.4±0.11, DLB+Park: 96.8%, 2.1±0.18, DLB‐Park: 20%, 0.4±0.23, and AD: 62%, 1.1±0.16. Frequency of gait abnormality was 98.5% in PDD, 90.3% in DLB+park, 60% in DLB‐Park and 57.8% in AD. Rigidity was most frequent in the PDD group (88.2%), followed by DLB+Park (71%), AD (19.6%), and none DLB‐park (0%). Over 8 years trajectories for limb bradykinesia and gait were greater for DLB+park than PDD (Figure 1, Cohen’s d range 0.89‐2.18 and 0.63‐1.99 over 8 years, p<0.001).ConclusionOur results suggest that DLB+Park group have faster motor progression predominantly related to gait abnormalities and limb bradykinesia. Future analyses will explore more convergent data, integrated effects of various measures and their differential contributions in this cohort.
SARS-CoV-2 Brain Regional Detection, Histopathology, Gene Expression, and Immunomodulatory Changes in Decedents with COVID-19
Serrano, Geidy E. , Walker, Jessica E. , Tremblay, Cécilia , Huentelman, Matthew J. , Belden, Christine M. , Goldfarb, Danielle, Shill, Holly A. , Driver‐Dunckley, Erika , Mehta, Shyamal H. , Caselli, Richard J. , Woodruff, Bryan K. , Haarer, Chadwick F., Ruhlen, Thomas, Nguyen, Steve, Schmitt, Dasan, Rapscak, Steven Z., Bime, Christian , Peters, Joseph L., Alevritis, Ellie, Arce, Richard, Glass, Michael J. , Vargas, Daisy, Sue, Lucia I., Intorcia, Anthony J., Nelson, Courtney M. , Oliver, Javon, Russell, Aryck, Suszczewicz, Katsuko E., Borja, Claryssa I., Cline, Madison P. , Hemmingsen, Spencer J, Qiji, Sanaria H., Hobgood, Holly M, Zhang, Haiyu , Solis, Daniel , Montine, Thomas J. , Berry, Gerald J. , Reiman, Eric M. , Röltgen, Katharina , Boyd, Scott D. , Zehnder, James L. , Desforges, Marc , DeTure, Michael , Beach, Thomas G. , Driver-Dunckley, Erika, Berry, Gerald J , Serrano, Geidy E , Piras, Ignazio Stefano , Shprecher, David , Atri, Alireza , Adler, Charles H. , Haarer, Chadwick F., Torres, Marı́a José , Peters, Joseph L, Mizgerd, Joseph P. , Sahoo, Malaya Kumar , Pinsky, Benjamin A. , Talbot, Pierre J. , Dickson, Dennis W.

Journal of Neuropathology & Experimental Neurology | July 12, 2022 | Volume: 81 | Issue: 9 | Pages: 666-695

10.1093/jnen/nlac056 Get It

Abstract Brains of 42 COVID-19 decedents and 107 non-COVID-19 controls were studied. RT-PCR screening of 16 regions from 20 COVID-19 autopsies found SARS-CoV-2 E gene viral sequences in 7 regions (2.5% of 320 samples), concentrated in 4/20 subjects (20%). Additional screening of olfactory bulb (OB), amygdala (AMY) and entorhinal area for E, N1, N2, RNA-dependent RNA polymerase, and S gene sequences detected one or more of these in OB in 8/21 subjects (38%). It is uncertain whether these RNA sequences represent viable virus. Significant histopathology was limited to 2/42 cases (4.8%), one with a large acute cerebral infarct and one with hemorrhagic encephalitis. Case-control RNAseq in OB and AMY found more than 5000 and 700 differentially expressed genes, respectively, unrelated to RT-PCR results; these involved immune response, neuronal constituents, and olfactory/taste receptor genes. Olfactory marker protein-1 reduction indicated COVID-19-related loss of OB olfactory mucosa afferents. Iba-1-immunoreactive microglia had reduced area fractions in cerebellar cortex and AMY, and cytokine arrays showed generalized downregulation in AMY and upregulation in blood serum in COVID-19 cases. Although OB is a major brain portal for SARS-CoV-2, COVID-19 brain changes are more likely due to blood-borne immune mediators and trans-synaptic gene expression changes arising from OB deafferentation.
Longitudinal motor decline in dementia with Lewy bodies and Parkinson’s disease dementia in a community autopsy cohort
Belden, Christi, Goldfarb, Danielle, Shill, Holly A. , Mehta, Shyamal, Driver‐Dunckley, Erika, Beach, Thomas G. , Choudhury, Parichita , Zhang, Nan , Shprecher, David , Belden, Christine M. , Mehta, Shyamal H. , Driver‐Dunckley, Erika , Serrano, Geidy E. , Adler, Charles H. , Atri, Alireza

Alzheimer's & Dementia | December 31, 2021 | Volume: 17 | Issue: S6 | Pages: No page available

10.1002/alz.055838 Get It

AbstractBackgroundAlthough parkinsonism is a core feature of Parkinson’s Disease Dementia (PDD) and Dementia with Lewy bodies (DLB), its evolution is less delineated. We aimed to assess differences in severity and progression of parkinsonian motor symptoms and signs in a community autopsy cohort with clinicopathologic diagnosis of DLB, PDD or Alzheimer’s Disease (AD).MethodData included were from 194 participants in the Arizona study of Aging and Neurodegenerative Disorders with clinicopathologic diagnosis of DLB (n=48), PDD (n=98) (±AD co‐pathology) or pure AD (n=48), and at least two movement exams performed by movement disorders subspecialists who classified PD and parkinsonism according to MDS‐UPDRS criteria. DLB was subgrouped by presence or absence of parkinsonism at final exam (DLB+Park and DLB–Park). Between group trajectory of UPDRS‐II and UPDRS‐III scores were explored using piecewise‐linear and non‐linear MMRM multivariate analysis.ResultOver 1435 participant‐years of longitudinal data were included in the analyses (Figure 1). Mean±SD age at baseline movement exam and death were 76.0±7.5 and 83.4±6.8 years, respectively. At baseline, most participants did not have dementia or substantial motor abnormalities (except motor abnormalities in PDD). DLB (73.9%) and PDD (69.2%) groups had more males than AD (33.3%). Parkinsonism was present in 65.6% of DLB at last exam. Piecewise‐linear MMRM analysis showed baseline UPDRS‐II and UPDRS‐III scores were highest (p<0.001) for PDD (mean±SE: 14.3±0.78 and 27.4±1.64), followed by DLB+Park (5.0±1.05 and 17.4±3.10), DLB‐Park (3.7±2.54 and 3.8±1.35) and AD (3.2±0.88 and 8.0±1.94). Annual rate of increase in UPDRS‐II was greatest for DLB+Park (1.44±0.20) and PDD (1.04±0.08), followed by DLB‐Park (0.89±0.18) and AD (0.30±0.11). Annual rate of increase in UPDRS‐III was highest for PDD and DLB+Park (2.12±0.20 vs 2.64±0.42), followed by DLB‐Park and AD (1.31 ± 0.38 and 0.64 ± 0.22). Preliminary non‐linear MMRM models (Figure 2) further supported substantial between group/subgroup differences in motor trajectories, and progression in DLB‐Park.ConclusionThese preliminary results in a large, well‐characterized clinicopathological community‐based autopsy cohort support that DLB+Park experience comparable, or greater, parkinsonian motor progression to PDD. Future modeling/sensitivity analyses will better delineate expected trajectories of motor progression to add prognostication value in clinic and design of DLB clinical trials.