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Pelisek O, Kusnierova P, Hradilek P, Horakova J, Svub K, Siprova K, Sobek O, Ganesh A, Hanzlikova P, Volny O, Revendova KZ. Comparison of SIMOA and VEUS technologies for serum neurofilament light chain measurement in multiple sclerosis. Mult Scler Relat Disord 2024; 90:105815. [PMID: 39146894 DOI: 10.1016/j.msard.2024.105815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 08/10/2024] [Indexed: 08/17/2024]
Abstract
INTRODUCTION The gold standard for serum neurofilament light chain (sNfL) determination is the single molecule array (SIMOA), the use of which is limited by availability and cost. The VEUS method is a fully automated, user-friendly diagnostic system requiring no sample preparation, with high reported sensitivity, multiplexing capability, and rapid diagnostics. The aim of this study was to compare the SIMOA and VEUS methods for determining sNfL levels in patients with multiple sclerosis (MS). METHODOLOGY A single-centre cross-sectional study was conducted at the MS Centre of University Hospital Ostrava. Patients were enrolled in the study from January 18 to January 31, 2024. Inclusion criteria were: 1) diagnosis of MS according to the revised 2017 McDonald criteria, 2) age ≥18 years, and 3) signed informed consent. The NF-light V2 diagnostic kit (SIMOA, Quanterix) and the Singleplex Neurology assay kit (VEUDx, EZDiatech) were used to determine sNfL concentrations. The two methods were compared by use of Spearman correlation, Passing-Bablok regression, and Bland-Altman analysis. RESULTS A total of 49 patients were included in the study, of whom 39 (79.6 %) were female. The median sNfL concentration was 7.73 (IQR 5.80-9.93) ng/L determined by SIMOA and 1.31 (IQR 1.18-1.65) ng/L by VEUS. We did not find a correlation between SIMOA and VEUS (rs = 0.025, p = 0.866). Passing-Bablok regression demonstrated a systematic and proportional difference between the two methods. A significant disagreement between them was also confirmed by the Bland-Altman plots. On average, sNfL values measured by SIMOA were 3.56 ng/L (95 % CI 0.78 to 6.34) higher than those measured by VEUS. CONCLUSION Our investigation uncovered noteworthy disparities between the SIMOA and VEUS techniques in determining sNfL levels. Specifically, the VEUS technique systematically produces lower estimates of sNFL levels. This substantial variance emphasizes the importance of carefully evaluating assay methods when quantifying sNfL.
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Affiliation(s)
- Ondrej Pelisek
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic; Centre of Clinical Neurosciences, University of Ostrava, Ostrava, Czech Republic
| | - Pavlina Kusnierova
- Institute of Laboratory Medicine, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic; Institute of Laboratory Medicine, University Hospital Ostrava, Ostrava, Czech Republic
| | - Pavel Hradilek
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic; Centre of Clinical Neurosciences, University of Ostrava, Ostrava, Czech Republic; Institute of Laboratory Medicine, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - Jana Horakova
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Krystof Svub
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Katerina Siprova
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Ondrej Sobek
- Topelex Ltd., Laboratory for CSF, Neuroimmunology, Pathology and Special Diagnostics, Prague, Czech Republic
| | - Aravind Ganesh
- Departments of Clinical Neurosciences and Community Health Sciences, the Hotchkiss Brain Institute and the O'Brien Institute for Public Health, University of Calgary Cumming School of Medicine, Calgary, Canada
| | - Pavla Hanzlikova
- Department of Radiology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Ondrej Volny
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic; Centre of Clinical Neurosciences, University of Ostrava, Ostrava, Czech Republic
| | - Kamila Zondra Revendova
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic; Centre of Clinical Neurosciences, University of Ostrava, Ostrava, Czech Republic.
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Rodero-Romero A, Monreal E, Sainz-Amo R, García Domínguez JM, Villarrubia N, Veiga-González JL, Fernández-Velasco JI, Goicochea-Briceño H, Rodríguez-Jorge F, Sainz de la Maza S, Chico-García JL, Muriel A, Masjuan J, Costa-Frossard L, Villar LM. Establishing Normal Serum Values of Neurofilament Light Chains and Glial Fibrillary Acidic Protein Considering the Effects of Age and Other Demographic Factors in Healthy Adults. Int J Mol Sci 2024; 25:7808. [PMID: 39063050 PMCID: PMC11277397 DOI: 10.3390/ijms25147808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 07/11/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024] Open
Abstract
Multiple studies have shown the importance of blood-based biomarkers indicating axonal damage (serum neurofilament light chains [sNfL]) or astroglia activation (serum glial fibrillary acidic protein [sGFAP]) for monitoring different neurological diseases. However, normal values of these variables remain to be clearly defined, partly due to the influence of different demographic factors. We investigated demographic differences in a cohort of healthy volunteers. A cross-sectional study was conducted including 116 healthy controls with ages between 18 and 69 years (67.5% females; n = 79). sNfL and sGFAP concentrations were measured using single-molecule arrays. Age and body mass index affected sNfL values, and age was found to be the most important factor. The normal values changed with age, and we established normal values for individuals younger than 45 years as <10 pg/mL and for controls older than 45 years as <15 pg/mL. We established normal values at <10 pg/mL for individuals younger than 45 years and <15 pg/mL for older individuals. Alternatively, a Z-score of 1.5 was relevant for all controls. sGFAP was only affected by age. Differences in normal values were evident by 55 years. The highest normality limit for sGFAP was 140 pg/mL for controls under 55 years and 280 for older controls. We defined normal levels for sNfL and sGFAP and their corresponding age-associated changes. These data may contribute to the application of such variables in clinical practice.
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Affiliation(s)
- Alexander Rodero-Romero
- Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (A.R.-R.); (N.V.); (J.L.V.-G.); (J.I.F.-V.)
| | - Enric Monreal
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (E.M.); (R.S.-A.); (F.R.-J.); (S.S.d.l.M.); (J.L.C.-G.); (J.M.); (L.C.-F.)
| | - Raquel Sainz-Amo
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (E.M.); (R.S.-A.); (F.R.-J.); (S.S.d.l.M.); (J.L.C.-G.); (J.M.); (L.C.-F.)
| | | | - Noelia Villarrubia
- Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (A.R.-R.); (N.V.); (J.L.V.-G.); (J.I.F.-V.)
| | - Jose Luís Veiga-González
- Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (A.R.-R.); (N.V.); (J.L.V.-G.); (J.I.F.-V.)
| | - José Ignacio Fernández-Velasco
- Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (A.R.-R.); (N.V.); (J.L.V.-G.); (J.I.F.-V.)
| | - Haydee Goicochea-Briceño
- Department of Neurology, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain; (J.M.G.D.)
| | - Fernando Rodríguez-Jorge
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (E.M.); (R.S.-A.); (F.R.-J.); (S.S.d.l.M.); (J.L.C.-G.); (J.M.); (L.C.-F.)
| | - Susana Sainz de la Maza
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (E.M.); (R.S.-A.); (F.R.-J.); (S.S.d.l.M.); (J.L.C.-G.); (J.M.); (L.C.-F.)
| | - Juan Luís Chico-García
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (E.M.); (R.S.-A.); (F.R.-J.); (S.S.d.l.M.); (J.L.C.-G.); (J.M.); (L.C.-F.)
| | - Alfonso Muriel
- Department of Biostatistics, Hospital Universitario Ramón y Cajal, CIBERESP, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain;
| | - Jaime Masjuan
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (E.M.); (R.S.-A.); (F.R.-J.); (S.S.d.l.M.); (J.L.C.-G.); (J.M.); (L.C.-F.)
| | - Lucienne Costa-Frossard
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (E.M.); (R.S.-A.); (F.R.-J.); (S.S.d.l.M.); (J.L.C.-G.); (J.M.); (L.C.-F.)
| | - Luisa María Villar
- Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain; (A.R.-R.); (N.V.); (J.L.V.-G.); (J.I.F.-V.)
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Vrillon A, Ashton NJ, Karikari TK, Götze K, Cognat E, Dumurgier J, Lilamand M, Zetterberg H, Blennow K, Paquet C. Comparison of CSF and plasma NfL and pNfH for Alzheimer's disease diagnosis: a memory clinic study. J Neurol 2024; 271:1297-1310. [PMID: 37950758 DOI: 10.1007/s00415-023-12066-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 11/13/2023]
Abstract
Plasma neurofilament light chain (NfL) is a promising biomarker of axonal damage for the diagnosis of neurodegenerative diseases. Phosphorylated neurofilament heavy chain (pNfH) has demonstrated its value in motor neuron diseases diagnosis, but has less been explored for dementia diagnosis. In a cross-sectional study, we compared cerebrospinal fluid (CSF) and plasma NfL and pNfH levels in n = 188 patients from Lariboisière Hospital, Paris, France, including AD patients at mild cognitive impairment stage (AD-MCI, n = 36) and dementia stage (n = 64), non-AD MCI (n = 38), non-AD dementia (n = 28) patients and control subjects (n = 22). Plasma NfL, plasma and CSF pNfH levels were measured using Simoa and CSF NfL using ELISA. The correlation between CSF and plasma levels was stronger for NfL than pNfH (rho = 0.77 and rho = 0.52, respectively). All neurofilament markers were increased in AD-MCI, AD dementia and non-AD dementia groups compared with controls. CSF NfL, CSF pNfH and plasma NfL showed high performance to discriminate AD at both MCI and dementia stages from control subjects [AUC (area under the curve) = 0.82-0.91]. Plasma pNfH displayed overall lower AUCs for discrimination between groups compared with CSF pNfH. Neurofilament markers showed similar moderate association with cognition. NfL levels displayed significant association with mediotemporal lobe atrophy and white matter lesions in the AD group. Our results suggest that CSF NfL and pNfH as well as plasma NfL levels display equivalent performance in both positive and differential AD diagnosis in memory clinic settings. In contrast to motoneuron disorders, plasma pNfH did not demonstrate added value as compared with plasma NfL.
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Affiliation(s)
- Agathe Vrillon
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France.
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France.
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Maurice Wohl Institute Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Karl Götze
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Emmanuel Cognat
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Julien Dumurgier
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
| | - Matthieu Lilamand
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Maurice Wohl Institute Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Claire Paquet
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France
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Zahoor I, Mir S, Giri S. Profiling blood-based brain biomarkers and cytokines in experimental autoimmune encephalomyelitis model of multiple sclerosis using single-molecule array technology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.25.573285. [PMID: 38234812 PMCID: PMC10793409 DOI: 10.1101/2023.12.25.573285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Experimental autoimmune encephalomyelitis (EAE) remains a widely used pre-clinical animal model to study multiple sclerosis (MS). Blood-based cytokines and CNS biomarkers are increasingly used as predictors of neurodegeneration, disease activity, and disability in MS. However, there exists variation in animal model characterization and disease course across animal strains/studies due to understudied confounding factors, limiting the utility of these biomarkers to predict disease activity in EAE. In this study, we investigated the profile of blood-based analytes including, cytokines (IL6, IL17, IL12p70, IL10, and TNFα) and neural markers (NFL and GFAP) in the plasma of relapsing-remitting (RR) (SJL) and chronic (B6) models of EAE during different phases (acute, chronic, and progressive) of disease course using ultrasensitive single molecule array technology (SIMoA, Quanterix), which can detect ultra-low levels of a wide range of analytes. NFL showed a substantial increase during post-disease onset at peak, chronic, and progressive phases in both RR SJL and chronic B6 models of EAE. The increase was markedly pronounced in the chronic B6 model. The leakage of GFAP from CNS into the periphery was also higher after disease onset in EAE, however, it was highest during the acute phase in B6. Out of all cytokines, only IL10 showed consistently lower levels in both models of EAE along the disease duration. We report that NFL, GFAP, and IL10 may be more useful predictors of disease activity and neurological outcome in EAE, which would make them potential candidates for use as surrogate markers for preclinical testing of therapeutic interventions in MS.
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Affiliation(s)
- Insha Zahoor
- Department of Neurology, Henry Ford Health, Detroit, MI 48202, USA
| | - Sajad Mir
- Department of Neurology, Henry Ford Health, Detroit, MI 48202, USA
| | - Shailendra Giri
- Department of Neurology, Henry Ford Health, Detroit, MI 48202, USA
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Green NS, Rosano C, Bangirana P, Opoka R, Munube D, Kasirye P, Kawooya M, Lubowa SK, Mupere E, Conroy A, Minja FJ, Boehme AK, Kang MS, Honig LS, Idro R. Neurofilament light chain: A potential biomarker for cerebrovascular disease in children with sickle cell anaemia. Br J Haematol 2023; 203:460-467. [PMID: 37581299 PMCID: PMC10615726 DOI: 10.1111/bjh.19036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/23/2023] [Accepted: 08/01/2023] [Indexed: 08/16/2023]
Abstract
Cerebrovascular injury frequently occurs in children with sickle cell anaemia (SCA). Limited access to magnetic resonance imaging and angiography (MRI-MRA) in sub-Saharan Africa impedes detection of clinically unapparent cerebrovascular injury. Blood-based brain biomarkers of cerebral infarcts have been identified in non-SCA adults. Using plasma samples from a well-characterized cross-sectional sample of Ugandan children with SCA, we explored relationships between biomarker levels and MRI-detected cerebral infarcts and transcranial Doppler (TCD) arterial velocity. Testing was performed using a 4-plex panel of brain injury biomarkers, including neurofilament light chain (NfL), a central nervous system neuron-specific protein. Mean biomarker levels from the SCA group (n = 81) were similar to those from non-SCA sibling controls (n = 54). Within the SCA group, NfL levels were significantly higher in those with MRI-detected infarcts compared to no infarcts, and higher with elevated TCD velocity versus normal velocity. Elevated NfL remained strongly associated with MRI-detected infarcts after adjusting for sex and age. All non-SCA controls and SCA participants lacking MRI-detected infarcts had low NfL levels. These data suggest potential utility of plasma-based NfL levels to identify children with SCA cerebrovascular injury. Replication and prospective studies are needed to confirm these novel findings and the clinical utility of NfL versus MRI imaging.
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Affiliation(s)
- Nancy S Green
- Department of Pediatrics, Columbia University Irving Medical Center, New York, New York, USA
| | - Caterina Rosano
- Department of Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Paul Bangirana
- Department of Psychiatry, Makerere University College of Health Sciences, Kampala, Uganda
- Global Health Uganda, Kampala, Uganda
| | - Robert Opoka
- Department of Paediatrics and Child Health, Makerere University College of Health Sciences, Kampala, Uganda
| | - Deogratias Munube
- Department of Paediatrics and Child Health, Makerere University College of Health Sciences, Kampala, Uganda
| | - Philip Kasirye
- Department of Paediatrics and Child Health, Makerere University College of Health Sciences, Kampala, Uganda
| | - Michael Kawooya
- Department of Radiology, Makerere University College of Health Sciences, Kampala, Uganda
- Ernest Cook Ultrasound Research and Education Institute (ECUREI), Mengo Hospital, Kampala, Uganda
| | - Samson K Lubowa
- Department of Radiology, Makerere University College of Health Sciences, Kampala, Uganda
| | - Ezekiel Mupere
- Department of Paediatrics and Child Health, Makerere University College of Health Sciences, Kampala, Uganda
| | - Andrea Conroy
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Frank J Minja
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Amelia K Boehme
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Min Suk Kang
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Lawrence S Honig
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Richard Idro
- Department of Paediatrics and Child Health, Makerere University College of Health Sciences, Kampala, Uganda
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