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Emmert BE, Xie K, Conrad EC, Ghosn NJ, Bauman K, Korzun J, Kulick-Soper CV, Naveed O, Hartmann N, LaRocque JJ, Mindy Ganguly T, Gugger JJ, Raghupathi R, Gelfand MA, Davis KA, Sinha SR, Litt B, Shinohara RT, Ellis CA. Alcohol for seizure induction in the epilepsy monitoring unit. Epilepsy Behav 2024; 150:109572. [PMID: 38070406 PMCID: PMC10842723 DOI: 10.1016/j.yebeh.2023.109572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/17/2023] [Accepted: 11/28/2023] [Indexed: 01/14/2024]
Abstract
RATIONALE Seizure induction techniques are used in the epilepsy monitoring unit (EMU) to increase diagnostic yield and reduce length of stay. There are insufficient data on the efficacy of alcohol as an induction technique. METHODS We performed a retrospective cohort study using six years of EMU data at our institution. We compared cases who received alcohol for seizure induction to matched controls who did not. The groups were matched on the following variables: age, reason for admission, length of stay, number of antiseizure medications (ASM) at admission, whether ASMs were tapered during admission, and presence of interictal epileptiform discharges. We used both propensity score and exact matching strategies. We compared the likelihood of epileptic seizures and nonepileptic events in cases versus controls using Kaplan-Meier time-to-event analysis, as well as odds ratios for these outcomes occurring at any time during the admission. RESULTS We analyzed 256 cases who received alcohol (median dose 2.5 standard drinks) and 256 propensity score-matched controls. Cases who received alcohol were no more likely than controls to have an epileptic seizure (X2(1) = 0.01, p = 0.93) or nonepileptic event (X2(1) = 2.1, p = 0.14) in the first 48 h after alcohol administration. For the admission overall, cases were no more likely to have an epileptic seizure (OR 0.89, 95 % CI 0.61-1.28, p = 0.58), nonepileptic event (OR 0.97, CI 0.62-1.53, p = 1.00), nor require rescue benzodiazepine (OR 0.63, CI 0.35-1.12, p = 0.15). Stratified analyses revealed no increased risk of epileptic seizure in any subgroups. Sensitivity analysis using exact matching showed that results were robust to matching strategy. CONCLUSIONS Alcohol was not an effective induction technique in the EMU. This finding has implications for counseling patients with epilepsy about the risks of drinking alcohol in moderation in their daily lives.
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Affiliation(s)
- Brian E Emmert
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA.
| | - Kevin Xie
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Center for Neuroengineering & Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Erin C Conrad
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Center for Neuroengineering & Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Nina J Ghosn
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Center for Neuroengineering & Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristie Bauman
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
| | - Jacob Korzun
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
| | - Catherine V Kulick-Soper
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
| | - Omer Naveed
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
| | - Nicole Hartmann
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
| | - Joshua J LaRocque
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
| | - Taneeta Mindy Ganguly
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
| | - James J Gugger
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA; Center for Neuroengineering & Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ramya Raghupathi
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
| | - Michael A Gelfand
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
| | - Kathryn A Davis
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA; Center for Neuroengineering & Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Saurabh R Sinha
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
| | - Brian Litt
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Center for Neuroengineering & Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, USA; Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, USA
| | - Colin A Ellis
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia PA, USA
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French J, Biton V, Dave H, Detyniecki K, Gelfand MA, Gong H, Liow K, O'Brien TJ, Sadek A, DiVentura B, Reich B, Isojarvi J. A randomized phase 2b efficacy study in patients with seizure episodes with a predictable pattern using Staccato® alprazolam for rapid seizure termination. Epilepsia 2023; 64:374-385. [PMID: 36268811 PMCID: PMC10107237 DOI: 10.1111/epi.17441] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 10/17/2022] [Accepted: 10/19/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Alprazolam administered via the Staccato® breath-actuated device is delivered into the deep lung for rapid systemic exposure and is a potential therapy for rapid epileptic seizure termination (REST). We conducted an inpatient study (ENGAGE-E-001 [NCT03478982]) in patients with stereotypic seizure episodes with prolonged or repetitive seizures to determine whether Staccato alprazolam rapidly terminates seizures in a small observed population after administration under direct supervision. METHODS Adult patients with established diagnosis of focal and/or generalized epilepsy with a documented history of seizure episodes with a predictable pattern were enrolled. They were randomized 1:1:1 to double-blind treatment of a single seizure event with one dose of Staccato alprazolam 1.0 mg or 2.0 mg, or Staccato placebo in an inpatient unit. The primary end point of the study was the proportion of responders in each treatment group achieving seizure activity cessation within 2 min after administration of study drug and no recurrence of seizure activity within 2 h. RESULTS A total of 273 patients were screened, and 116 randomized patients received treatment with the study drug in the double-blind part. The proportion of treated patients who were responders was 65.8% for each of Staccato alprazolam 1.0 mg (n = 38; p = .0392) and 2.0 mg (n = 38; p = .0392), compared with 42.5% for Staccato placebo (n = 40). Staccato alprazolam was well tolerated when administered as a single dose of 1.0 or 2.0 mg: cough and somnolence were the most common adverse events (AEs) (both 14.5%), followed by dysgeusia (13.2%). AEs were mostly mild or moderate in intensity; there were no treatment-related serious AEs. SIGNIFICANCE Both 1.0 mg and 2.0 mg doses of Staccato alprazolam demonstrated efficacy in rapidly terminating seizures in an inpatient setting and were well tolerated. The next step is a Phase 3 confirmatory study to demonstrate efficacy and safety of Staccato alprazolam for rapid cessation of seizures in an outpatient setting.
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Affiliation(s)
| | - Victor Biton
- Arkansas Epilepsy Program, Little Rock, Arkansas, USA
| | - Hina Dave
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | | | - Hui Gong
- Rancho Los Amigos National Rehabilitation Center, Downey, California, USA
| | - Kore Liow
- Hawaii Pacific Neuroscience, Honolulu, Hawaii, USA
| | | | - Ahmed Sadek
- Research Institute of Orlando, LLC, Orlando, Florida, USA
| | - Bree DiVentura
- The Epilepsy Study Consortium, Woodbury, New Jersey, USA
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Conrad EC, Chugh N, Ganguly TM, Gugger JJ, Tizazu EF, Shinohara RT, Raghupathi R, Becker DA, Gelfand MA, Omole AT, Decker BM, Pathmanathan JS, Davis KA, Ellis CA. Using Generalized Polyspike Train to Predict Drug-Resistant Idiopathic Generalized Epilepsy. J Clin Neurophysiol 2022; 39:459-465. [PMID: 33298682 PMCID: PMC8184865 DOI: 10.1097/wnp.0000000000000803] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION The authors tested the hypothesis that the EEG feature generalized polyspike train (GPT) is associated with drug-resistant idiopathic generalized epilepsy (IGE). METHODS The authors conducted a single-center case-control study of patients with IGE who had outpatient EEGs performed between 2016 and 2020. The authors classified patients as drug-resistant or drug-responsive based on clinical review and in a masked manner reviewed EEG data for the presence and timing of GPT (a burst of generalized rhythmic spikes lasting less than 1 second) and other EEG features. A relationship between GPT and drug resistance was tested before and after controlling for EEG duration. The EEG duration needed to observe GPT was also calculated. RESULTS One hundred three patients were included (70% drug-responsive and 30% drug-resistant patients). Generalized polyspike train was more prevalent in drug-resistant IGE (odds ratio, 3.8; 95% confidence interval, 1.3-11.4; P = 0.02). This finding persisted when controlling for EEG duration both with stratification and with survival analysis. A median of 6.5 hours (interquartile range, 0.5-12.7 hours) of EEG recording was required to capture the first occurrence of GPT. CONCLUSIONS The findings support the hypothesis that GPT is associated with drug-resistant IGE. Prolonged EEG recording is required to identify this feature. Thus, >24-hour EEG recording early in the evaluation of patients with IGE may facilitate prognostication.
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Affiliation(s)
- Erin C. Conrad
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Nanak Chugh
- Department of Community Physicians, John Hopkins Medicine, Baltimore, Maryland, U.S.A
| | - Taneeta M. Ganguly
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - James J. Gugger
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Etsegenet F. Tizazu
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Russell T. Shinohara
- Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
- Penn Statistics in Imaging and Visualization Center, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Ramya Raghupathi
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Danielle A. Becker
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Michael A. Gelfand
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Armina T. Omole
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Barbara M. Decker
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Jay S. Pathmanathan
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Kathryn A. Davis
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
| | - Colin A. Ellis
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A
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Tatum WO, Hirsch LJ, Gelfand MA, Acton EK, LaFrance WC, Duckrow RB, Chen DK, Blum AS, Hixson JD, Drazkowski JF, Benbadis SR, Cascino GD. Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures. JAMA Neurol 2021; 77:593-600. [PMID: 31961382 DOI: 10.1001/jamaneurol.2019.4785] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Importance Misdiagnosis of epilepsy is common. Video electroencephalogram provides a definitive diagnosis but is impractical for many patients referred for evaluation of epilepsy. Objective To evaluate the accuracy of outpatient smartphone videos in epilepsy. Design, Setting, and Participants This prospective, masked, diagnostic accuracy study (the OSmartViE study) took place between August 31, 2015, and August 31, 2018, at 8 academic epilepsy centers in the United States and included a convenience sample of 44 nonconsecutive outpatients who volunteered a smartphone video during evaluation and subsequently underwent video electroencephalogram monitoring. Three epileptologists uploaded videos for physicians from the 8 epilepsy centers to review. Main Outcomes and Measures Measures of performance (accuracy, sensitivity, specificity, positive predictive value, and negative predictive value) for smartphone video-based diagnosis by experts and trainees (the index test) were compared with those for history and physical examination and video electroencephalogram monitoring (the reference standard). Results Forty-four eligible epilepsy clinic outpatients (31 women [70.5%]; mean [range] age, 45.1 [20-82] years) submitted smartphone videos (530 total physician reviews). Final video electroencephalogram diagnoses included 11 epileptic seizures, 30 psychogenic nonepileptic attacks, and 3 physiologic nonepileptic events. Expert interpretation of a smartphone video was accurate in predicting a video electroencephalogram monitoring diagnosis of epileptic seizures 89.1% (95% CI, 84.2%-92.9%) of the time, with a specificity of 93.3% (95% CI, 88.3%-96.6%). Resident responses were less accurate for all metrics involving epileptic seizures and psychogenic nonepileptic attacks, despite greater confidence. Motor signs during events increased accuracy. One-fourth of the smartphone videos were correctly diagnosed by 100% of the reviewing physicians, composed solely of psychogenic attacks. When histories and physical examination results were combined with smartphone videos, correct diagnoses rose from 78.6% to 95.2%. The odds of receiving a correct diagnosis were 5.45 times greater using smartphone video alongside patient history and physical examination results than with history and physical examination alone (95% CI, 1.01-54.3; P = .02). Conclusions and Relevance Outpatient smartphone video review by experts has predictive and additive value for diagnosing epileptic seizures. Smartphone videos may reliably aid psychogenic nonepileptic attacks diagnosis for some people.
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Affiliation(s)
| | | | | | - Emily K Acton
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - W Curt LaFrance
- Department of Neurology, Brown University, Providence, Rhode Island
| | - Robert B Duckrow
- Department of Neurology, Yale University, New Haven, Connecticut
| | - David K Chen
- Department of Neurology, Baylor College of Medicine, Houston, Texas
| | - Andrew S Blum
- Department of Neurology, Brown University, Providence, Rhode Island
| | - John D Hixson
- University of California, San Francisco, San Francisco
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Tatum WO, Hirsch LJ, Gelfand MA, Acton EK, LaFrance WC, Duckrow RB, Chen D, Blum AS, Hixson J, Drazkowski J, Benbadis S, Cascino GD. Video quality using outpatient smartphone videos in epilepsy: Results from the OSmartViE study. Eur J Neurol 2021; 28:1453-1462. [PMID: 33465822 DOI: 10.1111/ene.14744] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 11/30/2020] [Accepted: 01/13/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND AND PURPOSE The aim of this study was to evaluate the quality of smartphone videos (SVs) of neurologic events in adult epilepsy outpatients. The use of home video recording in patients with neurological disease states is increasing. Experts interpretation of outpatient smartphone videos of seizures and neurological events has demonstrated similar diagnostic accuracy to inpatient video-electroencephalography (EEG) monitoring. METHODS A prospective, multicenter cohort study was conducted to evaluate SV quality in patients with paroxysmal neurologic events from August 15, 2015 through August 31, 2018. Epileptic seizures (ESs), psychogenic nonepileptic attacks (PNEAs), and physiologic nonepileptic events (PhysNEEs) were confirmed by video-EEG monitoring. Experts and senior neurology residents blindly viewed cloud-based SVs without clinical information. Quality ratings with regard to technical and operator-driven metrics were provided in responses to a survey. RESULTS Forty-four patients (31 women, age 45.1 years [r = 20-82]) were included and 530 SVs were viewed by a mean of seven experts and six residents; one video per patient was reviewed for a mean of 133.8 s (r = 9-543). In all, 30 patients had PNEAs, 11 had ESs, and three had PhysNEEs. Quality was suitable in 70.8% of SVs (375/530 total views), with 36/44 (81.8%) patient SVs rated as adequate by the majority of reviewers. Accuracy improved with the presence of convulsive features from 72.4% to 98.2% in ESs and from 71.1% to 95.7% in PNEAs. An accurate diagnosis was given by all reviewers (100%) in 11/44 SVs (all PNEAs). Audio was rated as good by 86.2% of reviewers for these SVs compared with 75.4% for the remaining SVs (p = 0.01). Lighting was better in SVs associated with high accuracy (p = 0.06), but clarity was not (p = 0.59). Poor video quality yielded unknown diagnoses in 24.2% of the SVs reviewed. Features hindering diagnosis were limited interactivity, restricted field of view and short video duration. CONCLUSIONS Smartphone video quality is adequate for clinical interpretation in the majority of patients with paroxysmal neurologic events. Quality can be optimized by encouraging interactivity with the patient, adequate duration of the SV, and enlarged field of view during videography. Quality limitations were primarily operational though accuracy remained for SV review of ESs and PNEAs.
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Affiliation(s)
| | | | - Michael A Gelfand
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Emily K Acton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - W Curt LaFrance
- Department of Neurology, Brown University, Providence, RI, USA
| | | | - David Chen
- Department of Neurology, Baylor University, Houston, TX, USA
| | - Andrew S Blum
- Department of Neurology, Brown University, Providence, RI, USA
| | - John Hixson
- University of California, San Francisco, CA, USA
| | | | - Selim Benbadis
- Department of Neurology, University of South Florida, Tampa, FL, USA
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Acton EK, Gelfand MA, Hennessy S, Xie SX, Pollard JR, Kasner SE, Willis AW. Trends in oral anticoagulant co-prescription with antiepileptic drugs among adults with epilepsy, 2010-2018. Epilepsy Behav 2020; 113:107550. [PMID: 33242772 PMCID: PMC7780425 DOI: 10.1016/j.yebeh.2020.107550] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 09/25/2020] [Accepted: 09/28/2020] [Indexed: 11/17/2022]
Abstract
Treatment considerations for epilepsy patients requiring anticoagulation are changing, and actual prescribing practices have not been characterized. We used the 2010-2018 Optum Clinformatics® Data Mart Database to estimate the annual prevalence and distinguish the patterns of oral anticoagulants (OACs) co-dispensed with antiepileptic drugs (AEDs) among adults with epilepsy. Monotonic trends were assessed using the Spearman rank correlation coefficient (ρ). Multivariable logistic regression models were built to evaluate the associations of sociodemographic characteristics. Among 345,892 adults with epilepsy (56.5% female; median age 61, IQR 46-74) on studied AEDs, the prevalence per thousand of concurrent OACs increased from 58.4 in 2010 to 92.0 in 2018 (OR 1.63, CI 1.58-1.69). Direct-acting oral anticoagulant (DOAC) use rapidly increased from 2010 to 2018 (ρ = 1.00; P < 0.001), with a corresponding decrease in warfarin use (ρ = -0.97; P < 0.001). Among OAC/AED dispensings in 2018, warfarin was more likely to be co-dispensed with potentially interacting, enzyme-inducing antiepileptic drugs (EI-AEDs) versus presumably non-interacting, non-enzyme inducing antiepileptic drugs (OR 1.48, CI 1.38-1.59). Characteristics independently associated with concurrent OAC/EI-AED use included younger age, female sex, white race, net worth <$250 K, and lower education levels. Our findings demonstrate the expanding use and evolving patterns of OAC/AED co-dispensing, and ensuing critical need to further understanding regarding postulated interactions.
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Affiliation(s)
- Emily K. Acton
- Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, PA, US,Department of Neurology, Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research, University of Pennsylvania School of Medicine, Philadelphia, PA, US,Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, PA, US
| | | | - Sean Hennessy
- Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, PA, US,Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, PA, US,Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA, US
| | - Sharon X. Xie
- Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, PA, US
| | | | - Scott E. Kasner
- Department of Neurology, University of Pennsylvania, Philadelphia, PA
| | - Allison W. Willis
- Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, PA, US,Department of Neurology, Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes Research, University of Pennsylvania School of Medicine, Philadelphia, PA, US,Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, PA, US,Department of Neurology, University of Pennsylvania, Philadelphia, PA
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7
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Seinfeld S, Gelfand MA, Heller AH, Buan C, Slatko G. Safety and tolerability associated with chronic intermittent use of diazepam buccal film in adult, adolescent, and pediatric patients with epilepsy. Epilepsia 2020; 61:2426-2434. [PMID: 32944970 PMCID: PMC7756501 DOI: 10.1111/epi.16696] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 08/25/2020] [Accepted: 08/25/2020] [Indexed: 02/06/2023]
Abstract
Objective Diazepam buccal film (DBF) is in development for treatment of patients experiencing bouts of increased seizure activity. We assessed safety, tolerability, and usability of self‐ or caregiver‐administered DBF in the outpatient setting. Methods Patients aged 2‐65 years needing treatment with a rescue benzodiazepine at least once monthly were eligible for the study. DBF (5‐17.5 mg) was dispensed based on age and body weight. Patients/caregivers administered DBF for up to five seizure episodes per month. Adverse events (AEs) and usability assessments were recorded after the first dose, then every 3 months. Results Onehundred eighteen patients who used ≥1 DBF dose (adults, n = 82; adolescents, n = 19; children, n = 17) were enrolled. Eleven treatment‐related AEs (10 being mild or moderate in severity) occurred in nine (7.6%) patients over a mean of 243 days of follow‐up. No patient discontinued participation because of AEs. Mild local buccal discomfort, buccal swelling, and cheek skin sensitivity were reported by one patient each. Twenty‐two serious AEs were reported; one was treatment‐related. The three deaths reported, all unrelated to DBF, resulted from seizures or seizure with brain malignancy. Self‐administration by adults was attempted on 23.6% (188/795) of use occasions. Administration of DBF occurred under ictal or peri‐ictal conditions on 49.5% (538/1087) of use occasions, and DBF was successfully administered on a first or second attempt on 96.6% (1050/1087) of use occasions. Overall, patients received their dose of DBF on 99.2% (1078/1087) of use occasions. A second DBF dose was required within 24 hours after the first dose on 8.5% (92/1087) of use occasions. Significance In this observational study of chronic intermittent use, DBF was easy to administer, safe, and well tolerated in adult, adolescent, and pediatric patients with epilepsy experiencing seizure emergencies. DBF can be readily self‐administered by adults with epilepsy, as well as successfully administered by a caregiver in seizure emergencies.
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Affiliation(s)
| | | | | | - Carla Buan
- Aquestive Therapeutics, Inc., Warren, NJ, USA
| | - Gary Slatko
- Aquestive Therapeutics, Inc., Warren, NJ, USA
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8
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Kulick-Soper CV, McKee JL, Wolf RL, Mohan S, Stein JM, Masur JH, Lazor JW, Dunlap DG, McGinniss JE, David MZ, England RN, Rothstein A, Gelfand MA, Cucchiara BL, Davis KA. Pearls & Oy-sters: Bilateral globus pallidus lesions in a patient with COVID-19. Neurology 2020; 95:454-457. [PMID: 32586898 PMCID: PMC7538218 DOI: 10.1212/wnl.0000000000010157] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
MESH Headings
- Betacoronavirus
- COVID-19
- Cerebral Infarction/complications
- Cerebral Infarction/diagnostic imaging
- Cerebral Infarction/metabolism
- Cerebral Infarction/physiopathology
- Coronavirus Infections/complications
- Coronavirus Infections/diagnostic imaging
- Coronavirus Infections/metabolism
- Coronavirus Infections/physiopathology
- Diabetes Mellitus, Type 2/complications
- Diabetes Mellitus, Type 2/metabolism
- Diabetic Ketoacidosis/complications
- Diabetic Ketoacidosis/metabolism
- Diagnosis, Differential
- Female
- Globus Pallidus/diagnostic imaging
- Humans
- Hyperglycemic Hyperosmolar Nonketotic Coma/complications
- Hyperglycemic Hyperosmolar Nonketotic Coma/metabolism
- Hypertension/complications
- Hypertension/physiopathology
- Hypoxia/complications
- Hypoxia/diagnosis
- Hypoxia/metabolism
- Hypoxia-Ischemia, Brain/diagnosis
- Leukoencephalitis, Acute Hemorrhagic/diagnosis
- Lung/diagnostic imaging
- Magnetic Resonance Imaging
- Middle Aged
- Pandemics
- Pneumonia, Viral/complications
- Pneumonia, Viral/diagnostic imaging
- Pneumonia, Viral/metabolism
- Pneumonia, Viral/physiopathology
- Respiratory Insufficiency/complications
- Respiratory Insufficiency/metabolism
- Respiratory Insufficiency/physiopathology
- SARS-CoV-2
- Shock/complications
- Shock/metabolism
- Shock/physiopathology
- Subclavian Vein/diagnostic imaging
- Tomography, X-Ray Computed
- Venous Thrombosis/complications
- Venous Thrombosis/diagnostic imaging
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Affiliation(s)
- Catherine V Kulick-Soper
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Jillian L McKee
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Ronald L Wolf
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Suyash Mohan
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Joel M Stein
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Jonathan H Masur
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Jillian W Lazor
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Daniel G Dunlap
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - John E McGinniss
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Michael Z David
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Ross N England
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Aaron Rothstein
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Michael A Gelfand
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Brett L Cucchiara
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA
| | - Kathryn A Davis
- From the Department of Neurology (C.V.K.-S., J.L.M., A.R., M.A.G., B.L.C., K.A.D.), Department of Radiology (R.L.W., S.M., J.M.S., J.H.M., J.W.L.), Division of Pulmonary, Allergy, and Critical Care (D.G.D., J.E.M.), and Division of Infectious Diseases (M.Z.D., R.N.E.), Perelman School of Medicine at the University of Pennsylvania; and Division of Neurology (J.L.M.), the Children's Hospital of Philadelphia, PA.
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Acton EK, Khazaal O, Willis AW, Hennessy S, Gelfand MA, Kasner SE. Abstract TP164: Statins for the Prevention of Post-Stroke Seizure and Epilepsy Development: A Systematic Review and Meta-Analysis. Stroke 2020. [DOI: 10.1161/str.51.suppl_1.tp164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Cerebrovascular disease is the leading cause of seizures and incident epilepsy of known etiology in older adults. As prophylactic use of antiepileptic drugs remains controversial, statins have garnered attention as an alternate preventive strategy due to pleiotropic effects, beyond lipid-lowering, which may include neuroprotective and anti-epileptogenic properties. Our objective was to assess the current evidence on statin use for prevention of post-stroke seizure and post-stroke epilepsy (PSE).
Methods:
We conducted a systematic review following PRISMA guidelines. Pubmed and Embase were searched from database inception to May 2019 for English-language, full-text experimental, observational analytic, or systematic reviews/meta-analytic studies examining the association between statin use in adults and development of early-onset seizures (ES; seizures ≤7 days after stroke) or PSE. Pooled analyses were based on random-effects models using the inverse-variance method.
Results:
Of 157 citations, 154 were excluded due to duplication or ineligibility, yielding 3 cohort studies from East Asia. Two studies reported on outcomes of ischemic stroke and 1 on hemorrhagic stroke. Only 1 study reported on ES, finding a significantly reduced risk following post-stroke statin use (OR 0.35, CI 0.20-0.60). Two studies reported on pre-stroke statin use, with findings demonstrating a lack of association with PSE (pooled OR 1.17, CI 0.93-1.48; Figure 1.1). However, post-stroke statin use was associated with less PSE (pooled OR 0.61, CI 0.50-0.74), without evidence of heterogeneity (Figure 1.2).
Conclusions:
Systematic review and meta-analysis of 3 high-quality cohort studies suggests post-stroke, but not pre-stroke, statin use may be associated with reduced risk of PSE. Further research is warranted to verify if these findings are replicable in other populations, as well as to explore the influence of timing and duration of statin use on outcomes.
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Acton EK, Willis AW, Gelfand MA, Kasner SE. Poor concordance among drug compendia for proposed interactions between enzyme‐inducing antiepileptic drugs and direct oral anticoagulants. Pharmacoepidemiol Drug Saf 2019; 28:1534-1538. [DOI: 10.1002/pds.4896] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 08/21/2019] [Accepted: 08/23/2019] [Indexed: 11/08/2022]
Affiliation(s)
- Emily K. Acton
- Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and BiostatisticsUniversity of Pennsylvania Philadelphia PA USA
- Department of Neurology, Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes ResearchUniversity of Pennsylvania School of Medicine Philadelphia PA USA
| | - Allison W. Willis
- Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and BiostatisticsUniversity of Pennsylvania Philadelphia PA USA
- Department of Neurology, Translational Center of Excellence for Neuroepidemiology and Neurology Outcomes ResearchUniversity of Pennsylvania School of Medicine Philadelphia PA USA
- Department of NeurologyUniversity of Pennsylvania Philadelphia PA USA
| | | | - Scott E. Kasner
- Department of NeurologyUniversity of Pennsylvania Philadelphia PA USA
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French JA, Wechsler R, Gelfand MA, Pollard JR, Vazquez B, Friedman D, Gong LH, Kamemoto E, Isojarvi J, Cassella JV. Inhaled alprazolam rapidly suppresses epileptic activity in photosensitive participants. Epilepsia 2019; 60:1602-1609. [PMID: 31268555 DOI: 10.1111/epi.16279] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 06/11/2019] [Accepted: 06/13/2019] [Indexed: 01/20/2023]
Abstract
OBJECTIVE Treatment options for seizure clusters are limited; the need for easy-to-administer treatments remains. The Staccato system delivers drug deep into the lung via inhalation. In this phase 2a study, we investigated the ability of three different doses of Staccato alprazolam to suppress the electroencephalographic (EEG) photoparoxysmal response (PPR) compared with placebo in participants with photosensitive seizures. METHODS Adults (18-60 years) with a diagnosis and history of PPR on EEG with or without an epilepsy diagnosis were eligible to participate. Participants received Staccato alprazolam 0.5, 1.0, and 2.0 mg, and Staccato placebo (twice) in random order. Intermittent photic stimulation and clinical assessments were performed at one predose and seven postdose time points. The primary endpoint of the study was the change in standardized photosensitivity range (SPR) in participants receiving each dose of Staccato alprazolam. RESULTS Fifteen participants with a prior epilepsy diagnosis were screened; five were enrolled, randomized, and completed the study. All participants were white females with a mean (SD) age of 27.2 (6.8) years. All doses of Staccato alprazolam reduced the SPR at 2 minutes; the effect was sustained through 4 hours for the 0.5-mg dose and 6 hours for the 1.0- and 2.0-mg doses. The magnitude and duration of sedation and sleepiness were dose-related. Four participants (80%) experienced ≥1 adverse event (AE); none was severe or serious. Cough, diarrhea, dysgeusia, oral dysesthesia, sedation, and somnolence were experienced by two participants (40%) each. SIGNIFICANCE This proof-of-concept study demonstrated that Staccato alprazolam 0.5, 1.0, and 2.0 mg rapidly suppressed epileptiform activity in photosensitive participants with epilepsy. The AE profile of Staccato alprazolam was similar to what has been reported for alprazolam for other indications. The results support further development of Staccato alprazolam as a rescue medication for the acute treatment of seizures.
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Affiliation(s)
- Jacqueline A French
- Department of Neurology, New York University School of Medicine, New York, New York
| | | | - Michael A Gelfand
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - John R Pollard
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Blanca Vazquez
- Department of Neurology, New York University School of Medicine, New York, New York
| | - Daniel Friedman
- Department of Neurology, New York University School of Medicine, New York, New York
| | - Lily H Gong
- Alexza Pharmaceuticals, Mountain View, California
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Eakin CM, Knight JD, Morgan CJ, Gelfand MA, Miranker AD. Formation of a copper specific binding site in non-native states of beta-2-microglobulin. Biochemistry 2002; 41:10646-56. [PMID: 12186550 DOI: 10.1021/bi025944a] [Citation(s) in RCA: 83] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
A debilitating complication of long-term hemodialysis is the deposition of beta-2-microglobulin (beta2m) as amyloid plaques in the joint space. We have recently shown that Cu(2+) can be a contributing, if not causal, factor at concentrations encountered during dialysis therapy. The basis for this effect is destabilization and incorporation of beta2m into amyloid fibers upon binding of Cu(2+). In this work, we demonstrate that while beta2m binds Cu(2+) specifically in the native state, it is binding of Cu(2+) by non-native states of beta2m which is responsible for destabilization. Mutagenesis of potential coordinating groups for Cu(2+) shows that native state binding of Cu(2+) is mediated by residues and structures that are different than those which bind in non-native states. An increased affinity for copper by non-native states compared to that of the native state gives rise to overall destabilization. Using mass spectrometry, NMR, and fluorescence techniques, we show that native state binding is localized to H31 and W60 and is highly specific for Cu(2+) over Zn(2+) and Ni(2+). Binding of Cu(2+) in non-native states of beta2m is mediated by residues H13, H51, and H84, but not H31. Although denatured beta2m has characteristics of a globally unfolded state, it nevertheless demonstrates the following strong specificity of binding: Cu(2+) > Zn(2+) >> Ni(2+). This requires the existence of a well-defined structure in the unfolded state of this protein. As Cu(2+) effects are reported in many other amyloidoses, e.g., PrP, alpha-synuclein, and Abeta, our results may be extended to the emerging field of divalent ion-associated amyloidosis.
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Affiliation(s)
- Catherine M Eakin
- Department of Molecular Biophysics and Biochemistry, Yale University, 260 Whitney Avenue, New Haven, CT 06520-8114, USA
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