Back to Authors

Day, Gregory S

0000-0001-5133-5538

Mayo Clinic

Mayo Clinic in Florida

Citations 147

Autoimmune Encephalitis Misdiagnosis in Adults
Geschwind, Michael D. , López‐Chiriboga, A. Sebastian , Blackburn, Kyle , Turaga, Sanchit, Binks, Sophie , Day, Gregory S. , Rodenbeck, Stefanie, Clardy, Stacey , Solomon, Andrew , Pittock, Sean J. , Dubey, Divyanshu , Ζεκερίδου, Αναστασία , Toledano, Michel , Turner, Lindsey E., Vernino, Steven , Irani, Sarosh R. , Pittock, S J , Irani, Sarosh R , Clardy, Stacey L , Day, Gregory S , Dubey, Divyanshu , Binks, Sophie N M , Vernino, Steven , Flanagan, Eoin P. , Zitser, Jennifer , Gelfand, Jeffrey M. , Dunham, Steven , McKeon, Andrew

JAMA Neurology | November 28, 2022 | Volume: 80 | Issue: 1 | Pages: 30

10.1001/jamaneurol.2022.4251 Get It

ImportanceAutoimmune encephalitis misdiagnosis can lead to harm.ObjectiveTo determine the diseases misdiagnosed as autoimmune encephalitis and potential reasons for misdiagnosis.Design, Setting, and ParticipantsThis retrospective multicenter study took place from January 1, 2014, to December 31, 2020, at autoimmune encephalitis subspecialty outpatient clinics including Mayo Clinic (n = 44), University of Oxford (n = 18), University of Texas Southwestern (n = 18), University of California, San Francisco (n = 17), Washington University in St Louis (n = 6), and University of Utah (n = 4). Inclusion criteria were adults (age ≥18 years) with a prior autoimmune encephalitis diagnosis at a participating center or other medical facility and a subsequent alternative diagnosis at a participating center. A total of 393 patients were referred with an autoimmune encephalitis diagnosis, and of those, 286 patients with true autoimmune encephalitis were excluded.Main Outcomes and MeasuresData were collected on clinical features, investigations, fulfillment of autoimmune encephalitis criteria, alternative diagnoses, potential contributors to misdiagnosis, and immunotherapy adverse reactions.ResultsA total of 107 patients were misdiagnosed with autoimmune encephalitis, and 77 (72%) did not fulfill diagnostic criteria for autoimmune encephalitis. The median (IQR) age was 48 (35.5-60.5) years and 65 (61%) were female. Correct diagnoses included functional neurologic disorder (27 [25%]), neurodegenerative disease (22 [20.5%]), primary psychiatric disease (19 [18%]), cognitive deficits from comorbidities (11 [10%]), cerebral neoplasm (10 [9.5%]), and other (18 [17%]). Onset was acute/subacute in 56 (52%) or insidious (>3 months) in 51 (48%). Magnetic resonance imaging of the brain was suggestive of encephalitis in 19 of 104 patients (18%) and cerebrospinal fluid (CSF) pleocytosis occurred in 16 of 84 patients (19%). Thyroid peroxidase antibodies were elevated in 24 of 62 patients (39%). Positive neural autoantibodies were more frequent in serum than CSF (48 of 105 [46%] vs 7 of 91 [8%]) and included 1 or more of GAD65 (n = 14), voltage-gated potassium channel complex (LGI1 and CASPR2 negative) (n = 10), N-methyl-d-aspartate receptor by cell-based assay only (n = 10; 6 negative in CSF), and other (n = 18). Adverse reactions from immunotherapies occurred in 17 of 84 patients (20%). Potential contributors to misdiagnosis included overinterpretation of positive serum antibodies (53 [50%]), misinterpretation of functional/psychiatric, or nonspecific cognitive dysfunction as encephalopathy (41 [38%]).Conclusions and RelevanceWhen evaluating for autoimmune encephalitis, a broad differential diagnosis should be considered and misdiagnosis occurs in many settings including at specialized centers. In this study, red flags suggesting alternative diagnoses included an insidious onset, positive nonspecific serum antibody, and failure to fulfill autoimmune encephalitis diagnostic criteria. Autoimmune encephalitis misdiagnosis leads to morbidity from unnecessary immunotherapies and delayed treatment of the correct diagnosis.
Cancer and Vascular Comorbidity Effects on Dementia Risk and Neuropathology in the Oldest-Old
Lachner, Christian , Day, Gregory S. , Camsari, Gamze Balci, Ertekin‐Taner, Nilüfer , Labuzan, Sydney A. , Lucas, John A. , Thompson, E. Aubrey , Siddiqui, Habeeba, Cabrera‐Rodriguez, Janisse N, Josephs, Keith A. , Petersen, Ronald C. , Reichard, R. Ross , Graff‐Radford, Neill R. , Kouri, Naomi , Crook, Julia E. , Cabrera-Rodriguez, Janisse N, Day, Gregory S , Boeve, Bradley F. , Dickson, Dennis W. , Mielke, Michelle M. , Knopman, David S. , Murray, Melissa E.

Journal of Alzheimer's Disease | October 4, 2022 | Volume: 90 | Issue: 1 | Pages: 405-417

10.3233/jad-220440 Get It

Background: Dementia, vascular disease, and cancer increase with age, enabling complex comorbid interactions. Understanding vascular and cancer contributions to dementia risk and neuropathology in oldest-old may improve risk modification and outcomes. Objective: Investigate the contributions of vascular factors and cancer to dementia and neuropathology. Methods: Longitudinal clinicopathologic study of prospectively followed Mayo Clinic participants dying≥95 years-old who underwent autopsy. Participants were stratified by dementia status and compared according to demographics, vascular risk factors, cancer, and neuropathology. Results: Participants (n = 161; 83% female; 99% non-Hispanic whites)≥95 years (95–106 years-old) with/without dementia did not differ based on demographics. APOE ɛ2 frequency was higher in no dementia (20/72 [28%]) versus dementia (11/88 [12%]; p = 0.03), but APOE ɛ4 frequency did not differ. Coronary artery disease was more frequent in no dementia (31/72 [43%]) versus dementia (23/89 [26%]; p = 0.03) associated with 56% lower dementia odds (odds ratio [OR] = 0.44 [confidence interval (CI) = 0.19–0.98]; p = 0.04) and fewer neuritic/diffuse plaques. Diabetes had an 8-fold increase in dementia odds (OR = 8.42 [CI = 1.39–163]; p = 0.02). Diabetes associated with higher cerebrovascular disease (Dickson score; p = 0.05). Cancer associated with 63% lower dementia odds (OR = 0.37 [CI = 0.17–0.78]; p < 0.01) and lower Braak stage (p = 0.01). Conclusion: Cancer exposure in the oldest-old was associated with lower odds of dementia and tangle pathology, whereas history of coronary artery disease was associated with lower odds of dementia and amyloid-β plaque pathology. History of diabetes mellitus was associated with increased odds of dementia and cerebrovascular disease pathology. Cancer-related mechanisms and vascular risk factor reduction strategies may alter dementia risk and neuropathology in oldest-old.
Accelerated longitudinal changes and ordering of Alzheimer disease biomarkers across the adult lifespan
Luo, Jingqin , Agboola, Folasade, Grant, Elizabeth, Morris, John C. , Masters, Colin L. , Albert, Marilyn , Fagan, Anne M. , Hassenstab, Jason , Perrin, Richard J. , Wang, Guoqiao , Li, Yan , Gordon, Brian A. , Day, Gregory S. , Xiong, Chengjie , Vöglein, Jonathan , Suzuki, Kazushi , (DIAN), Dominantly Inherited Alzheimer Network, Gordon, Brian A , Vöglein, Jonathan , Ikeuchi, T , Xiong, Chengjie , Day, Gregory S , Masters, Colin L , Hassenstab, Jason , Morris, John C , Luo, Jingqin , Johnson, Sterling C. , McDade, Eric , Benzinger, Tammie L.S. , Bateman, Randall J. , Cruchaga, Carlos , Ikeuchi, Takeshi , Allegri, Ricardo , Xiong, Chengjie , (DIAN), Dominantly Inherited Alzheimer Network

Brain | August 4, 2022 | Volume: 145 | Issue: 12 | Pages: 4459-4473

10.1093/brain/awac238 Get It

AbstractThe temporal evolutions and relative orderings of Alzheimer disease biomarkers, including CSF amyloid-β42 (Aβ42), Aβ40, total tau (Tau) and phosphorylated tau181 (pTau181), standardized uptake value ratio (SUVR) from the molecular imaging of cerebral fibrillar amyloid-β with PET using the 11C-Pittsburgh Compound-B (PiB), MRI-based hippocampal volume and cortical thickness and cognition have been hypothesized but not yet fully tested with longitudinal data for all major biomarker modalities among cognitively normal individuals across the adult lifespan starting from 18 years. By leveraging a large harmonized database from 8 biomarker studies with longitudinal data from 2609 participants in cognition, 873 in MRI biomarkers, 519 in PET PiB imaging and 475 in CSF biomarkers for a median follow-up of 5–6 years, we estimated the longitudinal trajectories of all major Alzheimer disease biomarkers as functions of baseline age that spanned from 18 to 103 years, located the baseline age window at which the longitudinal rates of change accelerated and further examined possible modifying effects of apolipoprotein E (APOE) genotype. We observed that participants 18–45 years at baseline exhibited learning effects on cognition and unexpected directions of change on CSF and PiB biomarkers. The earliest acceleration of longitudinal change occurred for CSF Aβ42 and Aβ42/Aβ40 ratio (with an increase) and for Tau, and pTau181 (with a decrease) at the next baseline age interval of 45–50 years, followed by an accelerated increase for PiB SUVR at the baseline age of 50–55 years and an accelerated decrease for hippocampal volume at the baseline age of 55–60 years and finally by an accelerated decline for cortical thickness and cognition at the baseline age of 65–70 years. Another acceleration in the rate of change occurred at the baseline age of 65–70 years for Aβ42/Aβ40 ratio, Tau, pTau181, PiB SUVR and hippocampal volume. Accelerated declines in hippocampal volume and cognition continued after 70 years. For participants 18–45 years at baseline, significant increases in Aβ42 and Aβ42/Aβ40 ratio and decreases in PiB SUVR occurred in APOE ɛ4 non-carriers but not carriers. After age 45 years, APOE ɛ4 carriers had greater magnitudes than non-carriers in the rates of change for all CSF biomarkers, PiB SUVR and cognition. Our results characterize the temporal evolutions and relative orderings of Alzheimer disease biomarkers across the adult lifespan and the modification effect of APOE ɛ4. These findings may better inform the design of prevention trials on Alzheimer disease.
Analysis of Clinical Features, Diagnostic Tests, and Biomarkers in Patients With Suspected Creutzfeldt-Jakob Disease, 2014-2021
Shir, Dror , Lazar, Evelyn, Graff‐Radford, Jonathan , Aksamit, Allen J. , Cutsforth‐Gregory, Jeremy K. , Prusinski, Christian , Porter, Amanda , Day, Gregory S. , Lazar, Evelyn B, Day, Gregory S , Shir, Dror , Jones, David T. , Botha, Hugo , Ramanan, Vijay K.

JAMA Network Open | August 3, 2022 | Volume: 5 | Issue: 8 | Pages: e2225098

10.1001/jamanetworkopen.2022.25098 Get It

Plasma glial fibrillary acidic protein in autosomal dominant Alzheimer’s disease: associations with β-amyloid-PET, neurodegeneration and cognition
Chatterjee, Pratishtha , Vermunt, Lisa , Gordon, Brian A. , Pedrini, Steve , Boonkamp, Lynn, Armstrong, Nicola J. , Luo, Jingqin , Singh, Abhay Kumar , Li, Yan , Sohrabi, Hamid R. , Taddei, Kevin , Berman, Sarah , Chhatwal, Jasmeer P. , Graff-Radford, Neill, Day, Gregory S. , Farlow, Martin, Fox, Nick C. , Goate, Alison , Hassenstab, Jason , Xiong, Chengjie , Perrin, Richard J. , Fagan, Anne M. , Morris, John C. , Gordon, Brian A , Day, Gregory S , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Luo, Jingqin , Berman, Sarah , Boonkamp, Lynn , Molloy, Mark P. , Benzinger, Tammie L.S. , Morris, John , Karch, Celeste M. , Cruchaga, Carlos , Farlow, Martin R. , Lee, Jae Hong , McDade, Eric , Mori, Hiroshi , Sánchez‐Valle, Raquel , Schofield, Peter R. , Levey, Allan I. , Jucker, Mathias , Masters, Colin L. , Bateman, Randall J. , Martins, Ralph N. , Teunissen, Charlotte E.

No container title available | July 7, 2022 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-1752559/v2 Get It

Abstract Glial fibrillary acidic protein (GFAP) is a promising candidate blood-based biomarker for Alzheimer’s disease (AD) diagnosis and prognostication. The timing of its disease-associated changes, its clinical correlates, and biofluid-type dependency will influence its clinical utility. We evaluated plasma, serum, and CSF GFAP in families with autosomal dominant AD (ADAD), leveraging the predictable age at symptom onset to determine changes by stage of disease. Plasma GFAP elevations appear a decade before expected symptom onset, after β-amyloid accumulation and prior to neurodegeneration and cognitive decline. Plasma GFAP distinguished β-amyloid-positive from β-amyloid-negative ADAD participants and showed a stronger relationship with β-amyloid load in asymptomatic than symptomatic ADAD. Higher plasma GFAP was associated with the degree and rate of neurodegeneration and cognitive impairment. Serum GFAP showed similar relationships, but these were less pronounced for CSF GFAP. Our findings support a role for plasma GFAP as a clinical biomarker for β-amyloid-associated cognitive deterioration in AD.
Alzheimer's disease cerebrospinal fluid biomarkers differentiate patients with Creutzfeldt–Jakob disease and autoimmune encephalitis
Chang, Bryce Kalei , Day, Gregory S. , Graff‐Radford, Jonathan, Nguyen, Aivi T. , Toledano, Michel , Kremers, Walter K. , Petersen, Ronald C. , Chang, Bryce K , Day, Gregory S , Nguyen, Aivi T , Kremers, Walter K , Graff‐Radford, Jonathan , McKeon, Andrew , Flanagan, Eoin P. , Algeciras‐Schimnich, Alicia , Mielke, Michelle M. , Jones, David T. , Knopman, David S. , Li, Wentao

European Journal of Neurology | June 23, 2022 | Volume: 29 | Issue: 10 | Pages: 2905-2912

10.1111/ene.15469 Get It

AbstractBackground and purposeAutoimmune encephalitis (AE) is a potentially treatable cause of rapidly progressive dementia that may mimic Creutzfeldt–Jakob disease (CJD). Alzheimer disease (AD) cerebrospinal fluid (CSF) biomarkers may discriminate CJD from AD, but utility in discriminating CJD and AE is unclear. This study compared AD CSF biomarkers in CJD and AE.MethodsPatients with probable or definite CJD and probable or definite AE who underwent Roche Elecsys AD CSF biomarker testing at Mayo Clinic from March 2020 through April 2021 were included. Total‐tau, phosphorylated181 tau and amyloid‐β42 levels were compared.ResultsOf 11 CJD cases, four were autopsy proven; the rest had positive real‐time quaking‐induced conversion testing. Disease‐associated autoantibodies were detected in 8/15 cases of AE: leucine‐rich glioma‐inactivated 1 and neuronal intermediate filaments (two cases each), and N‐methyl‐d‐aspartate receptor, contactin‐associated protein‐like 2, dipeptidyl‐peptidase‐like protein 6 and immunoglobulin‐like cell adhesion molecule IgLON family member 5. Total‐tau provided excellent discrimination between CJD and AE in a univariate model (odds ratio 1.46 per 100 pg/ml, 95% confidence interval 1.17–2.11, p < 0.05, c = 0.93). Total‐tau was elevated in 91% of CJD cases (median > 1300, range 236–>1300 pg/ml), of which 55% were above the limit of assay measurement (>1300 pg/ml). Total‐tau was elevated in 20% of AE cases (median 158, range 80–>1300 pg/ml).ConclusionTotal‐tau was greater in CJD than AE. Given that amyloid‐β42 and phosphorylated181 tau were comparable, the ratio differences were probably driven by elevated total‐tau in CJD. This study supports the role for AD biomarker testing in patients with rapidly progressive dementia.
Pattern and implications of neurological examination findings in autosomal dominant Alzheimer disease
Vöglein, Jonathan , Morris, John C. , Dieterich, Marianne , Preische, Oliver, Hofmann, Anna, Hassenstab, Jason , Fagan, Anne M. , Noble, James M. , Berman, Sarah , Graff‐Radford, Neill R. , Farlow, Martin R. , Chhatwal, Jasmeer P. , Salloway, Stephen , Xiong, Chengjie , Cairns, Nigel J., Perrin, Richard J. , Day, Gregory S. , Mori, Hiroshi , Suzuki, Kazushi , Masters, Colin L. , Goate, Alison , Buckles, Virginia, Fox, Nick C. , Chrem, Patricio, Ringman, John M. , Yakushev, Igor , Laske, Christoph , Bateman, Randall J. , Network, for the Dominantly Inherited Alzheimer, Day, Gregory S , Bateman, Randall J , Masters, Colin L , Vöglein, Jonathan , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Berman, Sarah , Noble, James M , Franzmeier, Nicolai , McDade, Eric , Simons, Mikael , Benzinger, Tammie L.S. , Ghetti, Bernardino , Xiong, Chengjie , Karch, Celeste M. , Martins, Ralph N. , Sánchez‐Valle, Raquel , Shimada, Hiroyuki , Ikeuchi, Takeshi , Schofield, Peter R. , Allegri, Ricardo , Jucker, Mathias , Höglinger, Günter U. , Danek, Adrian , Network, for the Dominantly Inherited Alzheimer

Alzheimer's & Dementia | May 24, 2022 | Volume: 19 | Issue: 2 | Pages: 632-645

10.1002/alz.12684 Get It

AbstractIntroductionAs knowledge about neurological examination findings in autosomal dominant Alzheimer disease (ADAD) is incomplete, we aimed to determine the frequency and significance of neurological examination findings in ADAD.MethodsFrequencies of neurological examination findings were compared between symptomatic mutation carriers and non mutation carriers from the Dominantly Inherited Alzheimer Network (DIAN) to define AD neurological examination findings. AD neurological examination findings were analyzed regarding frequency, association with and predictive value regarding cognitive decline, and association with brain atrophy in symptomatic mutation carriers.ResultsAD neurological examination findings included abnormal deep tendon reflexes, gait disturbance, pathological cranial nerve examination findings, tremor, abnormal finger to nose and heel to shin testing, and compromised motor strength. The frequency of AD neurological examination findings was 65.1%. Cross‐sectionally, mutation carriers with AD neurological examination findings showed a more than two‐fold faster cognitive decline and had greater parieto‐temporal atrophy, including hippocampal atrophy. Longitudinally, AD neurological examination findings predicted a significantly greater decline over time.DiscussionADAD features a distinct pattern of neurological examination findings that is useful to estimate prognosis and may inform clinical care and therapeutic trial designs.
Autosomal dominant and sporadic late onset Alzheimer's disease share a commonin vivopathophysiology
Schofield, Peter R. , Weiner, Michael W. , Xiong, Chengjie , Coble, Dean W. , Saito, Naomi , Aisen, Paul, Berman, Sarah , Cairns, Nigel J., Carrillo, María C. , Chui, Helena C., Chhatwal, Jasmeer P. , Fagan, Anne M. , Farlow, Martin R. , Fox, Nick C. , Goate, Alison , Gordon, Brian A. , Graff‐Radford, Neill R. , Day, Gregory S. , Hassenstab, Jason , Jack, Clifford R. , Jagust, William J. , Massoumzadeh, Parinaz , Masters, Colin L. , Mori, Hiroshi , Noble, James M. , Petersen, Ronald C. , Ringman, John M. , Salloway, Stephen , Saykin, Andrew J. , Shaw, Leslie M. , Trojanowski, John Q. , Vöglein, Jonathan , Weninger, Stacie, Bateman, Randall J. , Buckles, Virginia, Morris, John C. , Schofield, Peter R , Gordon, Brian A , Ikeuchi, T , Jack, Clifford R , Jagust, William J , Masters, Colin L , Vöglein, Jonathan , Saykin, Andrew J , Day, Gregory S , Bateman, Randall J , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Berman, Sarah , Noble, James M , Xiong, Chengjie , Beckett, Laurel , Allegri, Ricardo , Benzinger, Tammie L.S. , Chui, Helena C. , Cruchaga, Carlos , Ghetti, Bernardino , Ikeuchi, Takeshi , Jucker, Mathias , Martins, Ralph N. , McDade, Eric , Toga, Arthur W.

Brain | May 17, 2022 | Volume: 145 | Issue: 10 | Pages: 3594-3607

10.1093/brain/awac181 Get It

AbstractThe extent to which the pathophysiology of autosomal dominant Alzheimer's disease corresponds to the pathophysiology of ‘sporadic’ late onset Alzheimer's disease is unknown, thus limiting the extrapolation of study findings and clinical trial results in autosomal dominant Alzheimer's disease to late onset Alzheimer's disease.We compared brain MRI and amyloid PET data, as well as CSF concentrations of amyloid-β42, amyloid-β40, tau and tau phosphorylated at position 181, in 292 carriers of pathogenic variants for Alzheimer's disease from the Dominantly Inherited Alzheimer Network, with corresponding data from 559 participants from the Alzheimer’s Disease Neuroimaging Initiative. Imaging data and CSF samples were reprocessed as appropriate to guarantee uniform pipelines and assays. Data analyses yielded rates of change before and after symptomatic onset of Alzheimer's disease, allowing the alignment of the ∼30-year age difference between the cohorts on a clinically meaningful anchor point, namely the participant age at symptomatic onset.Biomarker profiles were similar for both autosomal dominant Alzheimer's disease and late onset Alzheimer's disease. Both groups demonstrated accelerated rates of decline in cognitive performance and in regional brain volume loss after symptomatic onset. Although amyloid burden accumulation as determined by PET was greater after symptomatic onset in autosomal dominant Alzheimer's disease than in late onset Alzheimer's disease participants, CSF assays of amyloid-β42, amyloid-β40, tau and p-tau181 were largely overlapping in both groups. Rates of change in cognitive performance and hippocampal volume loss after symptomatic onset were more aggressive for autosomal dominant Alzheimer's disease participants.These findings suggest a similar pathophysiology of autosomal dominant Alzheimer's disease and late onset Alzheimer's disease, supporting a shared pathobiological construct.
Clinicopathologic Factors Associated With Reversion to Normal Cognition in Patients With Mild Cognitive Impairment
Li, Zonghua , Kanekiyo, Takahisa , Martens, Yuka A. , Day, Gregory S. , Vassilaki, Maria , Liu, Chia‐Chen , Bennett, David A. , Petersen, Ronald C. , Zhao, Na , Kanekiyo, Takahisa , Atagi, Yuka , Day, Gregory S , Vassilaki, Maria , Liu, Chia-Chen , Bennett, David A. , Petersen, Ronald C , Zhao, Na , Bu, Guojun , Li, Zonghua , Heckman, Michael G. , Bu, Guojun

Neurology | March 21, 2022 | Volume: 98 | Issue: 20 | Pages: No page available

10.1212/wnl.0000000000200387 Get It