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Khalil M, Teunissen CE, Lehmann S, Otto M, Piehl F, Ziemssen T, Bittner S, Sormani MP, Gattringer T, Abu-Rumeileh S, Thebault S, Abdelhak A, Green A, Benkert P, Kappos L, Comabella M, Tumani H, Freedman MS, Petzold A, Blennow K, Zetterberg H, Leppert D, Kuhle J. Neurofilaments as biomarkers in neurological disorders - towards clinical application. Nat Rev Neurol 2024; 20:269-287. [PMID: 38609644 DOI: 10.1038/s41582-024-00955-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2024] [Indexed: 04/14/2024]
Abstract
Neurofilament proteins have been validated as specific body fluid biomarkers of neuro-axonal injury. The advent of highly sensitive analytical platforms that enable reliable quantification of neurofilaments in blood samples and simplify longitudinal follow-up has paved the way for the development of neurofilaments as a biomarker in clinical practice. Potential applications include assessment of disease activity, monitoring of treatment responses, and determining prognosis in many acute and chronic neurological disorders as well as their use as an outcome measure in trials of novel therapies. Progress has now moved the measurement of neurofilaments to the doorstep of routine clinical practice for the evaluation of individuals. In this Review, we first outline current knowledge on the structure and function of neurofilaments. We then discuss analytical and statistical approaches and challenges in determining neurofilament levels in different clinical contexts and assess the implications of neurofilament light chain (NfL) levels in normal ageing and the confounding factors that need to be considered when interpreting NfL measures. In addition, we summarize the current value and potential clinical applications of neurofilaments as a biomarker of neuro-axonal damage in a range of neurological disorders, including multiple sclerosis, Alzheimer disease, frontotemporal dementia, amyotrophic lateral sclerosis, stroke and cerebrovascular disease, traumatic brain injury, and Parkinson disease. We also consider the steps needed to complete the translation of neurofilaments from the laboratory to the management of neurological diseases in clinical practice.
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Affiliation(s)
- Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria.
| | - Charlotte E Teunissen
- Neurochemistry Laboratory Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
| | - Sylvain Lehmann
- LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France
| | - Markus Otto
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN), and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Maria Pia Sormani
- Department of Health Sciences, University of Genova, Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Samir Abu-Rumeileh
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Simon Thebault
- Multiple Sclerosis Division, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ahmed Abdelhak
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Ari Green
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Pascal Benkert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Manuel Comabella
- Neurology Department, Multiple Sclerosis Centre of Catalonia, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Hayrettin Tumani
- Department of Neurology, CSF Laboratory, Ulm University Hospital, Ulm, Germany
| | - Mark S Freedman
- Department of Medicine, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Axel Petzold
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Centre and Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
- Moorfields Eye Hospital, The National Hospital for Neurology and Neurosurgery and the Queen Square Institute of Neurology, UCL, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, P. R. China
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, 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
| | - David Leppert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland.
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland.
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Kiss C, Wurth S, Heschl B, Khalil M, Gattringer T, Enzinger C, Ropele S. Low-frequency MR elastography reveals altered deep gray matter viscoelasticity in multiple sclerosis. Neuroimage Clin 2024; 42:103606. [PMID: 38669859 DOI: 10.1016/j.nicl.2024.103606] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 02/23/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024]
Abstract
INTRODUCTION Brain viscoelasticity as assessed by magnetic resonance elastography (MRE) has been discussed as a promising surrogate of microstructural alterations due to neurodegenerative processes. Existing studies indicate that multiple sclerosis (MS) is associated with a global reduction in brain stiffness. However, no study to date systematically investigated the MS-related characteristics of brain viscoelasticity separately in normal-appearing white matter (NAWM), deep gray matter (DGM) and T2-hyperintense white matter (WM) lesions. METHODS 70 MS patients and 42 healthy volunteers underwent whole-cerebral MRE using a stimulated echo sequence (DENSE) with a low-frequency mechanical excitation at 20 Hertz. The magnitude |G∗| (Pa) and phase angle φ (rad) of the complex shear modulus G∗ were reconstructed by multifrequency dual elasto-visco (MDEV) inversion and related to structural imaging and clinical parameters. RESULTS We observed φ in the thalamus to be higher by 4.3 % in patients relative to healthy controls (1.11 ± 0.07 vs. 1.06 ± 0.07, p < 0.0001). Higher Expanded Disability Status Scale (EDSS) scores were negatively associated with φ in the basal ganglia (p = 0.01). We measured φ to be lower in MS lesions compared to surrounding NAWM (p = 0.001), which was most prominent for lesions in the temporal lobe (1.01 ± 0.22 vs. 1.06 ± 0.19, p = 0.003). Age was associated with lower values of |G∗| (p = 0.04) and φ (p = 0.004) in the thalamus of patients. No alteration in NAWM stiffness relative to WM in healthy controls was observed. CONCLUSION Low-frequency elastography in MS patients reveals age-independent alterations in the viscoelasticity of deep gray matter at early stages of disease.
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Affiliation(s)
- Christian Kiss
- Department of Neurology, Medical University of Graz, Austria.
| | - Sebastian Wurth
- Department of Neurology, Medical University of Graz, Austria.
| | - Bettina Heschl
- Department of Neurology, Medical University of Graz, Austria.
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Austria.
| | | | | | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Austria; Neuroimaging Research Unit, Department of Neurology, Medical University of Graz, Austria.
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Fissolo N, Benkert P, Sastre-Garriga J, Mongay-Ochoa N, Vilaseca-Jolonch A, Llufriu S, Blanco Y, Hegen H, Berek K, Perez-Miralles F, Rejdak K, Villar LM, Monreal E, Alvarez-Lafuente R, Soylu OK, Abdelhak A, Bachhuber F, Tumani H, Martínez-Yélamos S, Sánchez-López AJ, García-Merino A, Gutiérrez L, Castillo-Trivino T, Lycke J, Rosenstein I, Furlan R, Filippi M, Téllez N, Ramió-Torrentà L, Lünemann JD, Wiendl H, Eichau S, Khalil M, Kuhle J, Montalban X, Comabella M. Serum biomarker levels predict disability progression in patients with primary progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 2024; 95:410-418. [PMID: 37940409 DOI: 10.1136/jnnp-2023-332251] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/21/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND We aimed to investigate the potential of serum biomarker levels to predict disability progression in a multicentric real-world cohort of patients with primary progressive multiple sclerosis (PPMS). METHODS A total of 141 patients with PPMS from 18 European MS centres were included. Disability progression was investigated using change in Expanded Disability Status Scale (EDSS) score over three time intervals: baseline to 2 years, 6 years and to the last follow-up. Serum levels of neurofilament light chain (sNfL), glial fibrillar acidic protein (sGFAP) and chitinase 3-like 1 (sCHI3L1) were measured using single-molecule array assays at baseline. Correlations between biomarker levels, and between biomarkers and age were quantified using Spearman's r. Univariable and multivariable linear models were performed to assess associations between biomarker levels and EDSS change over the different time periods. RESULTS Median (IQR) age of patients was 52.9 (46.4-58.5) years, and 58 (41.1%) were men. Median follow-up time was 9.1 (7.0-12.6) years. Only 8 (5.7%) patients received treatment during follow-up. sNfL and sGFAP levels were moderately correlated (r=0.43) and both weakly correlated with sCHI3L1 levels (r=0.19 and r=0.17, respectively). In multivariable analyses, levels of the three biomarkers were associated with EDSS changes across all time periods. However, when analysis was restricted to non-inflammatory patients according to clinical and radiological parameters (n=64), only sCHI3L1 levels remained associated with future EDSS change. CONCLUSIONS Levels of sNfL, sGFAP and sCHI3L1 are prognostic biomarkers associated with disability progression in patients with PPMS, being CHI3L1 findings less dependent on the inflammatory component associated with disease progression.
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Affiliation(s)
- Nicolás Fissolo
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Pascal Benkert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Jaume Sastre-Garriga
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Neus Mongay-Ochoa
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Andreu Vilaseca-Jolonch
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Sara Llufriu
- Center of Neuroimmunology, Service of Neurology, Hospital Clinic and Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Yolanda Blanco
- Center of Neuroimmunology, Service of Neurology, Hospital Clinic and Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Harald Hegen
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Klaus Berek
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | | | - Konrad Rejdak
- Department of Neurology, Medical University of Lublin, Lublin, Poland
| | - Luisa M Villar
- Departments of Neurology and Immunology, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal deInvestigacion Sanitaria (IRYCIS), Madrid, Spain
| | - Enric Monreal
- Department of Neurology, Hospital Universitario Ramón y Cajal, REEM, IRYCIS, Universidad de Alcalá, Madrid, Spain
| | - Roberto Alvarez-Lafuente
- Environmental Factors in Degenerative Diseases Research Group, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico SanCarlos (IdISSC), Madrid, Spain
| | - Onder K Soylu
- Department of Neurology, Ulm University, Ulm, Germany
| | - Ahmed Abdelhak
- Department of Neurology, Ulm University, Ulm, Germany
- Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California San Francisco, San Francisco, California, USA
| | | | | | - Sergio Martínez-Yélamos
- Neurology Department, Multiple Sclerosis Unit, Hospital Universitari deBellvitge-IDIBELL, Universitat de Barcelona, Barcelona, Spain
| | - Antonio J Sánchez-López
- Neuroimmunology Unit, Puerta de Hierro-Segovia de Arana Health Research Institute, Madrid, Spain
- Biobank, Puerta de Hierro-Segovia de Arana Health Research Institute, Madrid, Spain
| | - Antonio García-Merino
- Neuroimmunology Unit, Puerta de Hierro-Segovia de Arana Health Research Institute, Madrid, Spain
| | - Lucía Gutiérrez
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Vall d'Hebron University Hospital, Barcelona, Spain
| | | | - Jan Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Igal Rosenstein
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Roberto Furlan
- Clinical Neuroimmunology Unit, Division of Neuroscience, Institute of Experimental Neurology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita Salute San Raffaele, Milano, Italy
| | - Nieves Téllez
- Neurology Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | - Lluís Ramió-Torrentà
- Girona Neuroimmunology and Multiple Sclerosis Unit, Neurology Department,Hospital Universitari Dr. Josep Trueta and Hospital Santa Caterina.Neurodegeneration and Neuroinflammation research group (IDIBGI). Department of Medical Sciences, University of Girona, Girona, Spain
| | - Jan D Lünemann
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Munster, Germany
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Munster, Germany
| | - Sara Eichau
- Multiple Sclerosis Unit, Neurology Service, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Xavier Montalban
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Manuel Comabella
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Vall d'Hebron University Hospital, Barcelona, Spain
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Khalil M, Ho ES, Zweig S, Agarwal S. An evaluation of physical medicine and rehabilitation accredited sports medicine fellowship websites. PM R 2024. [PMID: 38578137 DOI: 10.1002/pmrj.13151] [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] [Received: 06/02/2023] [Revised: 09/29/2023] [Accepted: 11/29/2023] [Indexed: 04/06/2024]
Abstract
BACKGROUND Due to the virtual format of fellowship applications, prospective physical medicine and rehabilitation (PM&R) sports medicine fellowship applicants commonly rely upon fellowship website content to make decisions about applications. Studies have shown that information available to fellowship applicants on program websites is inadequate, and there is no standard for important components of sports medicine fellowship websites. OBJECTIVE To determine what sports medicine fellowship program features PM&R residents, fellows, and attending physicians consider the most important to be listed on fellowship websites, as well as to assess the scope of information available on fellowship websites. DESIGN We developed a 30-item list of criteria that fell into categories of general information, fellowship education, recruitment, experience, and academic research. Survey participants were asked to rank the importance of those various items. We then assessed the 21 PM&R accredited sports medicine fellowship websites for the presence of these criteria. PARTICIPANTS Ninety-six survey respondents composed of PM&R residents, current sports medicine fellows, and attendings. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURE(S) Not applicable. RESULTS Items ranked as most important were those in the categories of general information, fellowship experience, and fellowship recruitment. The most valued items were program location, program coordinator contact information, program length, specific requirements for applying, number of positions, types of procedures taught, and specific sites covered. Academic research items were ranked as least important. CONCLUSIONS Survey respondents identified many fellowship website items as important factors when applying to programs. Many of these items were not listed on fellowship websites, suggesting that adding these criteria to fellowship sites might benefit applicants. Our findings can be used to develop standardized criteria for important components of sports medicine fellowship websites to improve the application and recruitment process.
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Affiliation(s)
- Michael Khalil
- Department of Physical Medicine & Rehabilitation, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Elver S Ho
- Department of Physical Medicine & Rehabilitation, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Sophia Zweig
- Department of Physical Medicine & Rehabilitation, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Sanjeev Agarwal
- Department of Physical Medicine & Rehabilitation, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
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Lazzarotto A, Hamzaoui M, Tonietto M, Dubessy AL, Khalil M, Pirpamer L, Ropele S, Enzinger C, Battaglini M, Stromillo ML, De Stefano N, Filippi M, Rocca MA, Gallo P, Gasperini C, Stankoff B, Bodini B. Time is myelin: early cortical myelin repair prevents atrophy and clinical progression in multiple sclerosis. Brain 2024; 147:1331-1343. [PMID: 38267729 PMCID: PMC10994569 DOI: 10.1093/brain/awae024] [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] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 12/15/2023] [Accepted: 01/13/2024] [Indexed: 01/26/2024] Open
Abstract
Cortical myelin loss and repair in multiple sclerosis (MS) have been explored in neuropathological studies, but the impact of these processes on neurodegeneration and the irreversible clinical progression of the disease remains unknown. Here, we evaluated in vivo cortical demyelination and remyelination in a large cohort of people with all clinical phenotypes of MS followed up for 5 years using magnetization transfer imaging (MTI), a technique that has been shown to be sensitive to myelin content changes in the cortex. We investigated 140 people with MS (37 clinically isolated syndrome, 71 relapsing-MS, 32 progressive-MS), who were clinically assessed at baseline and after 5 years and, along with 84 healthy controls, underwent a 3 T-MRI protocol including MTI at baseline and after 1 year. Changes in cortical volume over the radiological follow-up were computed with a Jacobian integration method. Magnetization transfer ratio was employed to calculate for each patient an index of cortical demyelination at baseline and of dynamic cortical demyelination and remyelination over the follow-up period. The three indices of cortical myelin content change were heterogeneous across patients but did not significantly differ across clinical phenotypes or treatment groups. Cortical remyelination, which tended to fail in the regions closer to CSF (-11%, P < 0.001), was extensive in half of the cohort and occurred independently of age, disease duration and clinical phenotype. Higher indices of cortical dynamic demyelination (β = 0.23, P = 0.024) and lower indices of cortical remyelination (β = -0.18, P = 0.03) were significantly associated with greater cortical atrophy after 1 year, independently of age and MS phenotype. While the extent of cortical demyelination predicted a higher probability of clinical progression after 5 years in the entire cohort [odds ratio (OR) = 1.2; P = 0.043], the impact of cortical remyelination in reducing the risk of accumulating clinical disability after 5 years was significant only in the subgroup of patients with shorter disease duration and limited extent of demyelination in cortical regions (OR = 0.86, P = 0.015, area under the curve = 0.93). In this subgroup, a 30% increase in cortical remyelination nearly halved the risk of clinical progression at 5 years, independently of clinical relapses. Overall, our results highlight the critical role of cortical myelin dynamics in the cascade of events leading to neurodegeneration and to the subsequent accumulation of irreversible disability in MS. Our findings suggest that early-stage myelin repair compensating for cortical myelin loss has the potential to prevent neuro-axonal loss and its long-term irreversible clinical consequences in people with MS.
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Affiliation(s)
- Andrea Lazzarotto
- Department of Neuroscience, Sorbonne Université, Paris Brain Institute, CNRS, Inserm, 75013 Paris, France
- AP-HP, Hôpital Universitaire Pitié-Salpêtrière, 75013 Paris, France
- Padova Neuroscience Center, University of Padua, 35122 Padua, Italy
| | - Mariem Hamzaoui
- Department of Neuroscience, Sorbonne Université, Paris Brain Institute, CNRS, Inserm, 75013 Paris, France
| | - Matteo Tonietto
- Université Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Service Hospitalier Frédéric Joliot, 91400 Orsay, France
- Roche Pharma Research & Early Development, F. Hoffmann-La Roche Ltd., CH-4070 Basel, Switzerland
| | | | - Michael Khalil
- Department of Neurology, Medical University of Graz, 8036 Graz, Austria
| | - Lukas Pirpamer
- Department of Neurology, Medical University of Graz, 8036 Graz, Austria
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, CH-4051 Basel, Switzerland
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, 8036 Graz, Austria
| | | | - Marco Battaglini
- Department of Medicine, Surgery and Neuroscience, University of Siena, 53100 Siena, Italy
| | - Maria Laura Stromillo
- Department of Medicine, Surgery and Neuroscience, University of Siena, 53100 Siena, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, 53100 Siena, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Maria Assunta Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Paolo Gallo
- Padova Neuroscience Center, University of Padua, 35122 Padua, Italy
- Multiple Sclerosis Centre of Veneto Region, 35128 Padua, Italy
| | | | - Bruno Stankoff
- Department of Neuroscience, Sorbonne Université, Paris Brain Institute, CNRS, Inserm, 75013 Paris, France
- AP-HP, Hôpital Universitaire Pitié-Salpêtrière, 75013 Paris, France
| | - Benedetta Bodini
- Department of Neuroscience, Sorbonne Université, Paris Brain Institute, CNRS, Inserm, 75013 Paris, France
- AP-HP, Hôpital Universitaire Pitié-Salpêtrière, 75013 Paris, France
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Queissner R, Buchmann A, Demjaha R, Tafrali C, Benkert P, Kuhle J, Jerkovic A, Dalkner N, Fellendorf F, Birner A, Platzer M, Tmava-Berisha A, Maget A, Stross T, Lenger M, Häussl A, Khalil M, Reininghaus E. Serum neurofilament light as a potential marker of illness duration in bipolar disorder. J Affect Disord 2024; 350:366-371. [PMID: 38215991 DOI: 10.1016/j.jad.2024.01.088] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 01/03/2024] [Accepted: 01/05/2024] [Indexed: 01/14/2024]
Abstract
INTRODUCTION Investigation on specific biomarkers for diagnostic or prognostic usage in mental diseases and especially bipolar disorder BD seems to be one outstanding field in current research. Serum neurofilament light (sNfL), a marker for neuro-axonal injury, is increased in various acute and chronic neurological disorders, but also neuro-psychiatric conditions, including affective disorders. The aim of our study was to determine a potential relation between a neuron-specific marker like sNfL and different clinical states of BD. METHODS In the current investigation, 51 patients with BD and 35 HC were included. Mood ratings with the Hamilton depression scale (HAMD) and the Young mania rating scale (YMRS) have been included. Illness duration was defined as the period from the time of diagnosis out of self-report and medical records. sNFL was quantified by a commercial ultrasensitive single molecule array (Simoa). RESULTS There was a significant positive correlation between the number of manic episodes in the past and sNfL, controlled for age and duration of illness. (R = 0.49, p = 0.03) Depressive episodes were not associated to sNfL values. (R = 0.311, p = n.s.) Patients with >3 years of illness duration showed significantly higher levels of sNfL (M18.59; SD 11.89) than patients with shorter illness duration (M = 12.38, p = 0.03) and HC (M = 11.35, p = 0.02). Patients with <3 years of illness and HC did not differ significantly in sNfL levels. DISCUSSION Interestingly, individuals with BD and HC did not differ in sNFL levels in general. Nevertheless, looking at the BD cohort more specifically, we found that individuals with BD with longer duration of illness (>3 years) had higher levels of sNfL than those with an illness duration below 3 years. Our results confirm previous reports on the relation of neuro-axonal injury as evidenced by sNfL and illness specific variables in bipolar disorder. Further studies are needed to clarify if sNfL may predict the disease course and/or indicated response to treatment regimes.
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Affiliation(s)
- R Queissner
- Medical University of Graz, Department for Psychiatry, Austria
| | - A Buchmann
- Medical University of Graz, Department for Neurology, Austria
| | - R Demjaha
- Medical University of Graz, Department for Neurology, Austria
| | - C Tafrali
- Medical University of Graz, Department for Neurology, Austria
| | - P Benkert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - J Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - A Jerkovic
- Institute of Molecular Biosciences, University of Graz, Austria
| | - N Dalkner
- Medical University of Graz, Department for Psychiatry, Austria
| | - F Fellendorf
- Medical University of Graz, Department for Psychiatry, Austria
| | - A Birner
- Medical University of Graz, Department for Psychiatry, Austria
| | - M Platzer
- Medical University of Graz, Department for Psychiatry, Austria
| | - A Tmava-Berisha
- Medical University of Graz, Department for Psychiatry, Austria
| | - A Maget
- Medical University of Graz, Department for Psychiatry, Austria
| | - T Stross
- Medical University of Graz, Department for Psychiatry, Austria
| | - M Lenger
- Medical University of Graz, Department for Psychiatry, Austria
| | - A Häussl
- Medical University of Graz, Department for Psychiatry, Austria
| | - M Khalil
- Medical University of Graz, Department for Neurology, Austria.
| | - E Reininghaus
- Medical University of Graz, Department for Psychiatry, Austria
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Heim B, Mandler E, Buchmann A, Grossauer A, Peball M, Valent D, Carbone F, Schwarzová K, Djamshidian A, Mahlknecht P, Khalil M, Krismer F, Seppi K. Serum Neurofilament Light and Clinical Biomarkers for Disease Staging in Huntington's Disease. Mov Disord Clin Pract 2024. [PMID: 38533634 DOI: 10.1002/mdc3.13993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 12/19/2023] [Accepted: 01/14/2024] [Indexed: 03/28/2024] Open
Affiliation(s)
- Beatrice Heim
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Elias Mandler
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Anna Grossauer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Marina Peball
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Dora Valent
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Federico Carbone
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Katarína Schwarzová
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Atbin Djamshidian
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Philipp Mahlknecht
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Florian Krismer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Department of Neurology, Hospital Kufstein, Kufstein, Austria
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8
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Callegari I, Oechtering J, Schneider M, Perriot S, Mathias A, Voortman MM, Cagol A, Lanner U, Diebold M, Holdermann S, Kreiner V, Becher B, Granziera C, Junker A, Du Pasquier R, Khalil M, Kuhle J, Kappos L, Sanderson NSR, Derfuss T. Cell-binding IgM in CSF is distinctive of multiple sclerosis and targets the iron transporter SCARA5. Brain 2024; 147:839-848. [PMID: 38123517 PMCID: PMC10907079 DOI: 10.1093/brain/awad424] [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] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 10/27/2023] [Accepted: 11/05/2023] [Indexed: 12/23/2023] Open
Abstract
Intrathecal IgM production in multiple sclerosis is associated with a worse disease course. To investigate pathogenic relevance of autoreactive IgM in multiple sclerosis, CSF from two independent cohorts, including multiple sclerosis patients and controls, were screened for antibody binding to induced pluripotent stem cell-derived neurons and astrocytes, and a panel of CNS-related cell lines. IgM binding to a primitive neuro-ectodermal tumour cell line discriminated 10% of multiple sclerosis donors from controls. Transcriptomes of single IgM producing CSF B cells from patients with cell-binding IgM were sequenced and used to produce recombinant monoclonal antibodies for characterization and antigen identification. We produced five cell-binding recombinant IgM antibodies, of which one, cloned from an HLA-DR + plasma-like B cell, mediated antigen-dependent complement activation. Immunoprecipitation and mass spectrometry, and biochemical and transcriptome analysis of the target cells identified the iron transport scavenger protein SCARA5 as the antigen target of this antibody. Intrathecal injection of a SCARA5 antibody led to an increased T cell infiltration in an experimental autoimmune encephalomyelitis (EAE) model. CSF IgM might contribute to CNS inflammation in multiple sclerosis by binding to cell surface antigens like SCARA5 and activating complement, or by facilitating immune cell migration into the brain.
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Affiliation(s)
- Ilaria Callegari
- Department of Biomedicine, University of Basel and University Hospital Basel, Basel 4031, Switzerland
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel 4056, Switzerland
| | - Johanna Oechtering
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel 4056, Switzerland
| | - Mika Schneider
- Department of Biomedicine, University of Basel and University Hospital Basel, Basel 4031, Switzerland
| | - Sylvain Perriot
- Department of Clinical Neurosciences, Laboratory of Neuroimmunology, Center of Research in Neurosciences, Lausanne 1011, Switzerland
| | - Amandine Mathias
- Department of Clinical Neurosciences, Laboratory of Neuroimmunology, Center of Research in Neurosciences, Lausanne 1011, Switzerland
| | | | - Alessandro Cagol
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel 4056, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, Basel 4123, Switzerland
| | - Ulrike Lanner
- Proteomics Core Facility, Biozentrum, University of Basel, Basel 4056, Switzerland
| | - Martin Diebold
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel 4056, Switzerland
- Institute of Neuropathology, Faculty of Medicine, University of Freiburg, Freiburg 79085, Germany
| | - Sebastian Holdermann
- Department of Biomedicine, University of Basel and University Hospital Basel, Basel 4031, Switzerland
| | - Victor Kreiner
- Institute of Experimental Immunology, University of Zurich, Zurich 8057, Switzerland
| | - Burkhard Becher
- Institute of Experimental Immunology, University of Zurich, Zurich 8057, Switzerland
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel 4056, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, Basel 4123, Switzerland
| | - Andreas Junker
- Department of Neuropathology, University Hospital Essen, Essen 45147, Germany
| | - Renaud Du Pasquier
- Department of Clinical Neurosciences, Laboratory of Neuroimmunology, Center of Research in Neurosciences, Lausanne 1011, Switzerland
- Department of Clinical Neurosciences, Service of Neurology, Lausanne 1011, Switzerland
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz 8010, Austria
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel 4056, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel 4056, Switzerland
| | - Nicholas S R Sanderson
- Department of Biomedicine, University of Basel and University Hospital Basel, Basel 4031, Switzerland
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel 4056, Switzerland
| | - Tobias Derfuss
- Department of Biomedicine, University of Basel and University Hospital Basel, Basel 4031, Switzerland
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel 4056, Switzerland
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Freedman MS, Gnanapavan S, Booth RA, Calabresi PA, Khalil M, Kuhle J, Lycke J, Olsson T. Guidance for use of neurofilament light chain as a cerebrospinal fluid and blood biomarker in multiple sclerosis management. EBioMedicine 2024; 101:104970. [PMID: 38354532 PMCID: PMC10875256 DOI: 10.1016/j.ebiom.2024.104970] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 12/20/2023] [Accepted: 01/03/2024] [Indexed: 02/16/2024] Open
Abstract
Neurofilament light chain (NfL) is a long-awaited blood biomarker that can provide clinically useful information about prognosis and therapeutic efficacy in multiple sclerosis (MS). There is now substantial evidence for this biomarker to be used alongside magnetic resonance imaging (MRI) and clinical measures of disease progression as a decision-making tool for the management of patients with MS. Serum NfL (sNfL) has certain advantages over traditional measures of MS disease progression such as MRI because it is relatively noninvasive, inexpensive, and can be repeated frequently to monitor activity and treatment efficacy. sNfL levels can be monitored regularly in patients with MS to determine change from baseline and predict subclinical disease activity, relapse risk, and the development of gadolinium-enhancing (Gd+) lesions. sNfL does not replace MRI, which provides information related to spatial localisation and lesion stage. Laboratory platforms are starting to be made available for clinical application of sNfL in several countries. Further work is needed to resolve issues around comparisons across testing platforms (absolute values) and normalisation (reference ranges) in order to guide interpretation of the results.
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Affiliation(s)
- Mark S Freedman
- Department of Medicine (Neurology), University of Ottawa, and the Ottawa Hospital Research Institute, Ontario, Canada.
| | | | - Ronald A Booth
- Department of Pathology and Laboratory Medicine, University of Ottawa, The Ottawa Hospital & Eastern Ontario Regional Laboratory Association, Ontario, Canada
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Jens Kuhle
- Multiple Sclerosis Centre, Neurology, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, Switzerland
| | - Jan Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institute, Solna, Sweden
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10
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Haindl MT, Üçal M, Tafrali C, Wonisch W, Erdogan C, Nowakowska M, Adzemovic MZ, Enzinger C, Khalil M, Hochmeister S. Sex Differences under Vitamin D Supplementation in an Animal Model of Progressive Multiple Sclerosis. Nutrients 2024; 16:554. [PMID: 38398879 PMCID: PMC10893160 DOI: 10.3390/nu16040554] [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] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/13/2024] [Accepted: 02/15/2024] [Indexed: 02/25/2024] Open
Abstract
A central role for vitamin D (VD) in immune modulation has recently been recognized linking VD insufficiency to autoimmune disorders that commonly exhibit sex-associated differences. Similar to other autoimmune diseases, there is a higher incidence of multiple sclerosis (MS) in women, but a poorer prognosis in men, often characterized by a more rapid progression. Although sex hormones are most likely involved, this phenomenon is still poorly understood. Oxidative stress, modulated by VD serum levels as well as sex hormones, may act as a contributing factor to demyelination and axonal damage in both MS and the corresponding preclinical models. In this study, we analyzed sex-associated differences and VD effects utilizing an animal model that recapitulates histopathological features of the progressive MS phase (PMS). In contrast to relapsing-remitting MS (RRMS), PMS has been poorly investigated in this context. Male (n = 50) and female (n = 46) Dark Agouti rats received either VD (400 IU per week; VD+) or standard rodent food without extra VD (VD-) from weaning onwards. Myelination, microglial activation, apoptotic cell death and neuronal viability were assessed using immunohistochemical markers in brain tissue. Additionally, we also used two different histological markers against oxidized lipids along with colorimetric methods to measure protective polyphenols (PP) and total antioxidative capacity (TAC) in serum. Neurofilament light chain serum levels (sNfL) were analyzed using single-molecule array (SIMOA) analysis. We found significant differences between female and male animals. Female rats exhibited a better TAC and higher amounts of PP. Additionally, females showed higher myelin preservation, lower microglial activation and better neuronal survival while showing more apoptotic cells than male rats. We even found a delay in reaching the peak of the disease in females. Overall, both sexes benefitted from VD supplementation, represented by significantly less cortical, neuroaxonal and oxidative damage. Unexpectedly, male rats had an even higher overall benefit, most likely due to differences in oxidative capacity and defense systems.
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Affiliation(s)
| | - Muammer Üçal
- Department of Neurosurgery, Medical University of Graz, 8010 Graz, Austria
| | - Cansu Tafrali
- Department of Neurology, Medical University of Graz, 8010 Graz, Austria
| | - Willibald Wonisch
- Otto Loewi Research Center, Department of Physiological Medicine, Medical University of Graz, 8010 Graz, Austria
| | - Cigdem Erdogan
- Department of Neurology, Medical University of Graz, 8010 Graz, Austria
| | - Marta Nowakowska
- Department of Neurosurgery, Medical University of Graz, 8010 Graz, Austria
| | - Milena Z. Adzemovic
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
| | | | - Michael Khalil
- Department of Neurology, Medical University of Graz, 8010 Graz, Austria
| | - Sonja Hochmeister
- Department of Neurology, Medical University of Graz, 8010 Graz, Austria
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11
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Franthal S, Khalil M, Kern D, Gattermeyer L, Buchmann A, Katschnig-Winter P, Kögl M, Demjaha R, Tafrali C, Hofer E, Schmidt R, Schwingenschuh P. Elevated serum neurofilament light chain protein in patients with essential tremor. Eur J Neurol 2024; 31:e16143. [PMID: 37975778 DOI: 10.1111/ene.16143] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 10/17/2023] [Accepted: 10/26/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND AND PURPOSE Quantification of neurofilament light chain protein in serum (sNfL) enables the neuro-axonal damage in peripheral blood to be reliably assessed and monitored. There is a long-standing debate whether essential tremor represents a 'benign' tremor syndrome or whether it is linked to neurodegeneration. This study aims to investigate sNfL concentrations in essential tremor compared to healthy controls (cross-sectionally and longitudinally) and to assess whether sNfL is associated with motor and nonmotor markers of disease progression. METHODS Data of patients with essential tremor from our prospective registry on movement disorders (PROMOVE) were retrospectively analysed. Age-, sex- and body-mass-index-matched healthy controls were recruited from an ongoing community-dwelling aging cohort. sNfL was quantified by an ultra-sensitive single molecule array (Simoa). All participants underwent detailed clinical examination at baseline and after approximately 5 years of follow-up. RESULTS Thirty-seven patients with clinically diagnosed essential tremor were included and 37 controls. The essential tremor group showed significantly higher sNfL levels compared to healthy controls at baseline and follow-up. sNfL levels increased over time in both groups, and the slope of sNfL increase was similar in the essential tremor and healthy control groups. Comparing patients with a disease duration under 5 years to those with a longer disease duration, the former group had a significantly greater increase of sNfL over time, which strongly correlated to worsening of tremor and cognition. CONCLUSION Our findings indicate that neurodegeneration, possibly happening at an early disease stage, might play a role in the pathophysiology of essential tremor.
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Affiliation(s)
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Daniela Kern
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | | | | | - Mariella Kögl
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Rina Demjaha
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Cansu Tafrali
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Edith Hofer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
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12
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Zinganell A, Göbel G, Berek K, Hofer B, Asenbaum-Nan S, Barang M, Böck K, Bsteh C, Bsteh G, Eger S, Eggers C, Fertl E, Joldic D, Khalil M, Langenscheidt D, Komposch M, Kornek B, Kraus J, Krendl R, Rauschka H, Sellner J, Auer M, Hegen H, Pauli FD, Deisenhammer F. Multiple sclerosis in the elderly: a retrospective cohort study. J Neurol 2024; 271:674-687. [PMID: 37855871 DOI: 10.1007/s00415-023-12041-1] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/29/2023] [Accepted: 09/30/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND There is a lack of knowledge of disease course, prognosis, comorbidities and potential treatments of elderly MS patients. OBJECTIVE To characterize the disease course including disability progression and relapses, to quantify the use of DMTs and to identify comorbidities and risk factors for progression in elderly multiple sclerosis (MS) patients. METHODS This is a retrospective study of 1200 Austrian MS patients older than 55 years as of May 1st, 2017 representing roughly one-third of all the MS patients of this age in Austria. Data were collected from 15 MS centers including demographics, first symptom at onset, number of relapses, evolvement of disability, medication, and comorbidities. RESULTS Median observation time was 17.1 years with 957 (80%) relapsing and 243 (20%) progressive onsets. Average age at diagnosis was 45 years with a female predominance of 71%. Three-hundred and twenty-six (27%) patients were never treated with a DMT, while most treated patients received interferons (496; 41%) at some point. At last follow-up, 420 (35%) patients were still treated with a DMT. No difference was found between treated and never-treated patients in terms of clinical outcome; however, patients with worse disability progression had significantly more DMT switches. Pyramidal onset, number of comorbidities, dementia, epilepsy, and psychiatric conditions as well as a higher number of relapses were associated with worse outcome. The risk of reaching EDSS 6 rose with every additional comorbidity by 22%. In late and very-late-onset MS (LOMS, VLOMS) time to diagnosis took nearly twice the time compared to adult and early onset (AEOMS). The overall annualized relapse rate (ARR) decreased over time and patients with AEOMS had significantly higher ARR compared to LOMS and VLOMS. Four percent of MS patients had five medications or more fulfilling criteria of polypharmacy and 20% of psychiatric drugs were administered without a matching diagnosis. CONCLUSIONS In this study, we identified number of comorbidities, pyramidal and cerebellar signs, and a higher number of relapses as unfavorable prognostic factors in elderly MS patients filling gaps of knowledge in patients usually underrepresented in clinical trials and may guide future therapeutic studies.
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Affiliation(s)
- Anne Zinganell
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Georg Göbel
- Department of Medical Statistics, Informatics and Health Economics, Medical University Innsbruck, Innsbruck, Austria
| | - Klaus Berek
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Barbara Hofer
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | | | - Matin Barang
- Department of Neurology, Hospital of St. Pölten, St. Pölten, Austria
| | - Klaus Böck
- Department of Neurology, Kepler Universitätsklinikum, Linz, Austria
| | | | - Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Stephan Eger
- Department of Neurology, Kepler Universitätsklinikum, Linz, Austria
| | - Christian Eggers
- Department of Neurology, Kepler Universitätsklinikum, Linz, Austria
| | - Elisabeth Fertl
- Department of Neurology, Klinik Landstrasse, Vienna, Austria
| | - Damir Joldic
- Department of Neurology, Klinik Landstrasse, Vienna, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Martina Komposch
- Department of Neurology, Hospital of Klagenfurt, Klagenfurt, Austria
| | - Barbara Kornek
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Jörg Kraus
- Neurologist, Zell Am See, Austria
- Department of Laboratory Medicine, Paracelsus Medical University and Salzburger Landeskliniken, Salzburg, Austria
- Department of Neurology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Reinhard Krendl
- Department of Neurology, Hospital of Villach, Villach, Austria
| | - Helmut Rauschka
- Department of Neurology, Klinik Donaustadt, Vienna, Austria
- Karl Landsteiner Institute for Neuroimmunological and Neurodegenerative Disorders, Department of Neurology, Klinik Donaustadt, Vienna, Austria
| | - Johann Sellner
- Department of Neurology, Landesklinikum Mistelbach, Mistelbach, Austria
| | - Michael Auer
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Franziska Di Pauli
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Florian Deisenhammer
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
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Wilson D, Chan D, Chang L, Mathis R, Verberk I, Montalban X, Comabella M, Fissolo N, Bielekova B, Masvekar R, Chitnis T, Ziemssen T, Akgün K, Blennow K, Zetterberg H, Brück W, Giovannoni G, Gnanapavan S, Bittner S, Zipp F, Comi G, Furlan R, Lehmann S, Thebault S, Freedman M, Bar-Or A, Kramer M, Otto M, Halbgebauer S, Hrusovsky K, Plavina T, Khalil M, Piehl F, Wiendl H, Kappos L, Maceski A, Willemse E, Leppert D, Teunissen C, Kuhle J. Development and multi-center validation of a fully automated digital immunoassay for neurofilament light chain: toward a clinical blood test for neuronal injury. Clin Chem Lab Med 2024; 62:322-331. [PMID: 37702323 DOI: 10.1515/cclm-2023-0518] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/17/2023] [Indexed: 09/14/2023]
Abstract
OBJECTIVES Neurofilament light chain (NfL) has emerged as a promising biomarker for detecting and monitoring axonal injury. Until recently, NfL could only be reliably measured in cerebrospinal fluid, but digital single molecule array (Simoa) technology has enabled its precise measurement in blood samples where it is typically 50-100 times less abundant. We report development and multi-center validation of a novel fully automated digital immunoassay for NfL in serum for informing axonal injury status. METHODS A 45-min immunoassay for serum NfL was developed for use on an automated digital analyzer based on Simoa technology. The analytical performance (sensitivity, precision, reproducibility, linearity, sample type) was characterized and then cross validated across 17 laboratories in 10 countries. Analytical performance for clinical NfL measurement was examined in individual patients with relapsing remitting multiple sclerosis (RRMS) after 3 months of disease modifying treatment (DMT) with fingolimod. RESULTS The assay exhibited a lower limit of detection (LLoD) of 0.05 ng/L, a lower limit of quantification (LLoQ) of 0.8 ng/L, and between-laboratory imprecision <10 % across 17 validation sites. All tested samples had measurable NfL concentrations well above the LLoQ. In matched pre-post treatment samples, decreases in NfL were observed in 26/29 RRMS patients three months after DMT start, with significant decreases detected in a majority of patients. CONCLUSIONS The sensitivity characteristics and reproducible performance across laboratories combined with full automation make this assay suitable for clinical use for NfL assessment, monitoring in individual patients, and cross-comparisons of results across multiple sites.
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Affiliation(s)
| | | | | | | | - Inge Verberk
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam, University Medical Centers, Amsterdam, The Netherlands
| | - Xavier Montalban
- Laboratori de Neuroinmunologia Clinica Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Vall d'Hebron Institut de Recerca, Barcelona, Spain
| | - Manuel Comabella
- Laboratori de Neuroinmunologia Clinica Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Vall d'Hebron Institut de Recerca, Barcelona, Spain
| | - Nicolas Fissolo
- Laboratori de Neuroinmunologia Clinica Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Vall d'Hebron Institut de Recerca, Barcelona, Spain
| | - Bibi Bielekova
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Ruturaj Masvekar
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Tanuja Chitnis
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tjalf Ziemssen
- MS Center Dresden, Center of Clinical Neuroscience, Department of Neurology, Dresden University of Technology, Dresden, Germany
| | - Katja Akgün
- MS Center Dresden, Center of Clinical Neuroscience, Department of Neurology, Dresden University of Technology, Dresden, Germany
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- 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
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Wolfgang Brück
- Institute for Neuropathology at the University Medical Center, Göttingen, Germany
| | - Gavin Giovannoni
- Department of Neurology, Barts Health NHS Trust, The Royal London Hospital, E1 1FR, London, UK
| | - Sharmilee Gnanapavan
- Department of Neurology, Barts Health NHS Trust, The Royal London Hospital, E1 1FR, London, UK
| | - Stefan Bittner
- University Medical Center Mainz, Department of Neurology, Mainz, Germany
| | - Frauke Zipp
- University Medical Center Mainz, Department of Neurology, Mainz, Germany
| | - Giancarlo Comi
- Institute of Experimental Neurology, Division of Neuroscience, University Vita e Salute San Raffaele and IRCCS San Raffaele Hospital, Milan, Italy
| | - Roberto Furlan
- Institute of Experimental Neurology, Division of Neuroscience, University Vita e Salute San Raffaele and IRCCS San Raffaele Hospital, Milan, Italy
| | | | - Simon Thebault
- University of Ottawa, Department of Medicine, The Ottawa Hospital Research Institute, Ottawa, Canada
| | - Mark Freedman
- University of Ottawa, Department of Medicine, The Ottawa Hospital Research Institute, Ottawa, Canada
| | - Amit Bar-Or
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Markus Otto
- Department of Neurology, Ulm University Hospital, Ulm, Germany
| | - Steffen Halbgebauer
- Department of Neurology, Ulm University Hospital, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE e.V.), Ulm, Germany
| | | | | | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Heinz Wiendl
- Department of Neurology, University of Münster, Münster, Germany
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel, Departments of Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Aleksandra Maceski
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Eline Willemse
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
| | - David Leppert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam, University Medical Centers, Amsterdam, The Netherlands
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
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14
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Ruggieri S, Prosperini L, Al-Araji S, Annovazzi PO, Bisecco A, Ciccarelli O, De Stefano N, Filippi M, Fleischer V, Evangelou N, Enzinger C, Gallo A, Garjani A, Groppa S, Haggiag S, Khalil M, Lucchini M, Mirabella M, Montalban X, Pozzilli C, Preziosa P, Río J, Rocca MA, Rovira A, Stromillo ML, Zaffaroni M, Tortorella C, Gasperini C. Assessing treatment response to oral drugs for multiple sclerosis in real-world setting: a MAGNIMS Study. J Neurol Neurosurg Psychiatry 2024; 95:142-150. [PMID: 37775266 DOI: 10.1136/jnnp-2023-331920] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/09/2023] [Indexed: 10/01/2023]
Abstract
BACKGROUND The assessment of treatment response is a crucial step for patients with relapsing-remitting multiple sclerosis on disease-modifying therapies (DMTs). We explored whether a scoring system developed within the MAGNIMS (MRI in Multiple Sclerosis) network to evaluate treatment response to injectable drugs can be adopted also to oral DMTs. METHODS A multicentre dataset of 1200 patients who started three oral DMTs (fingolimod, teriflunomide and dimethyl fumarate) was collected within the MAGNIMS network. Disease activity after the first year was classified by the 'MAGNIMS' score based on the combination of relapses (0-≥2) and/or new T2 lesions (<3 or ≥3) on brain MRI. We explored the association of this score with the following 3-year outcomes: (1) confirmed disability worsening (CDW); (2) treatment failure (TFL); (3) relapse count between years 1 and 3. The additional value of contrast-enhancing lesions (CELs) and lesion location was explored. RESULTS At 3 years, 160 patients experienced CDW: 12% of them scored '0' (reference), 18% scored '1' (HR=1.82, 95% CI 1.20 to 2.76, p=0.005) and 37% scored '2' (HR=2.74, 95% CI 1.41 to 5.36, p=0.003) at 1 year. The analysis of other outcomes provided similar findings. Considering the location of new T2 lesions (supratentorial vs infratentorial/spinal cord) and the presence of CELs improved the prediction of CDW and TFL, respectively, in patients with minimal MRI activity alone (one or two new T2 lesions). CONCLUSIONS Early relapses and substantial MRI activity in the first year of treatment are associated with worse short-term outcomes in patients treated with some of the oral DMTs.
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Affiliation(s)
- Serena Ruggieri
- Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Luca Prosperini
- Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Sarmad Al-Araji
- Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Pietro Osvaldo Annovazzi
- Neuroimmunology Unit-Multiple Sclerosis Center, Hospital of Gallarate, ASST della Valle Olona, Gallarate, Italy
| | - Alvino Bisecco
- Department of Advanced Medical and Surgical Sciences, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Olga Ciccarelli
- Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Massimo Filippi
- Neurology Unit and Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Vinzenz Fleischer
- Department of Neurology and Neuroimaging Center (NIC) of the Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Nikos Evangelou
- Mental Health & Clinical Neuroscience Unit, University of Nottingham, Nottingham, UK
- Department of Neurology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Graz, Austria
- Department of Radiology (Division of Neuroradiology, Vascular and Interventional Radiology), Medical University of Graz, Graz, Austria
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Afagh Garjani
- Mental Health & Clinical Neuroscience Unit, University of Nottingham, Nottingham, UK
- Department of Neurology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Sergiu Groppa
- Department of Neurology and Neuroimaging Center (NIC) of the Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Shalom Haggiag
- Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Matteo Lucchini
- Multiple Sclerosis Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Centro di ricerca Sclerosi Multipla (CERSM), Università Cattolica del Sacro Cuore, Rome, Italy
| | - Massimiliano Mirabella
- Multiple Sclerosis Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Centro di ricerca Sclerosi Multipla (CERSM), Università Cattolica del Sacro Cuore, Rome, Italy
| | - Xavier Montalban
- Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Carlo Pozzilli
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Paolo Preziosa
- Neurology Unit and Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Jordi Río
- Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Maria A Rocca
- Neurology Unit and Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Alex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Maria L Stromillo
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Mauro Zaffaroni
- Neuroimmunology Unit-Multiple Sclerosis Center, Hospital of Gallarate, ASST della Valle Olona, Gallarate, Italy
| | - Carla Tortorella
- Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Claudio Gasperini
- Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
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15
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Latif MS, Khalil M, Sultana SZ, Kabir A, Bose SK, Shanto RA, Ahmed M, Ara R, Islam S, Sultana M, Haque SMA. Variation of Acromiocoracoid and Acromioglenoid Distance in Bangladeshi People. Mymensingh Med J 2024; 33:168-173. [PMID: 38163789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
This cross-sectional descriptive purposive study was done on 150 (70 right and 80 left) fully ossified dry human scapulae of Bangladeshi people to find out the variation in length of acromiocoracoid and acromioglenoid distance. Sample collection was carried out in the Department of Anatomy, Mymensingh Medical College, Bangladesh from January to December 2019. Any kind of damaged or broken scapulae were excluded to maintain standard measurement. Length of these distances was measured with the help of digital Vernier slide calipers. The mean±SD acromiocoracoid distance were 35.8±4.64 mm and 36.32±5.55 mm on right and left sided scapulae respectively and the mean±SD acromioglenoid distance were 27.69±3.43 mm on right sided scapulae and 28.18±3.26 mm on left sided scapulae. These data are important to compare Bangladeshi scapulae to those from various other races that could contribute to demographic studies of shoulder disease probability and management in Bangladeshi population.
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Affiliation(s)
- M S Latif
- Dr Md Safat Latif, Lecturer, Department of Anatomy, Mymensingh Medical College (MMC), Mymensingh, Bangladesh; E-mail:
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16
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Shanto RA, Khalil M, Sultana SZ, Epsi EZ, Bose SK, Latif MS, Siddiquee T, Russel MTH, Sumi SA. Variation of Mid shaft Antero-posterior and Transverse Diameter of Femur in Bangladeshi People. Mymensingh Med J 2024; 33:234-238. [PMID: 38163798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Femoral morphometric variation is a dynamic system for different region, which is influenced by geographical, physiological and environmental factors, due to the adaptation, functional and remodeling responses of bones. This descriptive cross-sectional study was conducted on 150 (64 right and 86 left) fully ossified dry human femur of Bangladeshi people to find out the variation of mid shaft antero-posterior and transverse diameter of femur. Sample was collected in the Department of Anatomy, Mymensingh Medical College (MMC), Bangladesh from January 2019 to December 2019. All samples were assessed to eliminate fractured, pathologically damaged and remodeled bones. The diameters were measured with the help of digital Vernier slide calipers. The mean±SD mid shaft antero-posterior diameter of right and left femur were 25.03±2.86 mm and 25.54±2.65mm respectively. The mean±SD transverse diameter of right and left femur was 24.24±2.43mm and 24.54±2.38mm respectively. The knowledge of variations in the parameters of dry femora will help the orthopedicians for the treatment and management of femoral shaft fracture. These data also provide information about mid shaft diameter of femur of Bangladeshi people and to compare these data to those from various other races. Thus it could contribute for the design of well-fitting prosthesis which suits the Bangladeshi population. This value may be considered while making a best-fit femoral prosthesis.
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Affiliation(s)
- R A Shanto
- Dr Rafuja Afrin Shanto, Assistant Professor, Department of Anatomy, Dhaka Central International Medical College, Ring Road, Shyamoli, Dhaka, Bangladesh; E-mail:
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17
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Hechenberger S, Helmlinger B, Penner IK, Pirpamer L, Fruhwirth V, Heschl B, Ropele S, Wurth S, Damulina A, Eppinger S, Demjaha R, Khalil M, Pinter D, Enzinger C. Psychological factors and brain magnetic resonance imaging metrics associated with fatigue in persons with multiple sclerosis. J Neurol Sci 2023; 454:120833. [PMID: 37866195 DOI: 10.1016/j.jns.2023.120833] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/11/2023] [Accepted: 10/08/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Besides demographics and clinical factors, psychological variables and brain-tissue changes have been associated with fatigue in persons with multiple sclerosis (pwMS). Identifying predictors of fatigue could help to improve therapeutic approaches for pwMS. Therefore, we investigated predictors of fatigue using a multifactorial approach. METHODS 136 pwMS and 49 normal controls (NC) underwent clinical, neuropsychological, and magnetic resonance imaging examinations. We assessed fatigue using the "Fatigue Scale for Motor and Cognitive Functions", yielding a total, motor, and cognitive fatigue score. We further analyzed global and subcortical brain volumes, white matter lesions and microstructural changes (examining fractional anisotropy; FA) along the cortico striatal thalamo cortical (CSTC) loop. Potential demographic, clinical, psychological, and magnetic resonance imaging predictors of total, motor, and cognitive fatigue were explored using multifactorial linear regression models. RESULTS 53% of pwMS and 20% of NC demonstrated fatigue. Besides demographics and clinical data, total fatigue in pwMS was predicted by higher levels of depression and reduced microstructural tissue integrity in the CSTC loop (adjusted R2 = 0.52, p < 0.001). More specifically, motor fatigue was predicted by lower education, female sex, higher physical disability, higher levels of depression, and self-efficacy (adjusted R2 = 0.54, p < 0.001). Cognitive fatigue was also predicted by higher levels of depression and lower self-efficacy, but in addition by FA reductions in the CSTC loop (adjusted R2 = 0.45, p < 0.001). CONCLUSIONS Our results indicate that depression and self-efficacy strongly predict fatigue in MS. Incremental variance in total and cognitive fatigue was explained by microstructural changes along the CSTC loop, beyond demographics, clinical, and psychological variables.
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Affiliation(s)
- Stefanie Hechenberger
- Medical University of Graz, Research Unit for Neuronal Plasticity and Repair, Graz, Austria; Medical University of Graz, Department of Neurology, Graz, Austria
| | - Birgit Helmlinger
- Medical University of Graz, Research Unit for Neuronal Plasticity and Repair, Graz, Austria; Medical University of Graz, Department of Neurology, Graz, Austria
| | - Iris-Katharina Penner
- Department of Neurology. Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Lukas Pirpamer
- Medical University of Graz, Department of Neurology, Graz, Austria; Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Viktoria Fruhwirth
- Medical University of Graz, Research Unit for Neuronal Plasticity and Repair, Graz, Austria; Medical University of Graz, Department of Neurology, Graz, Austria
| | - Bettina Heschl
- Medical University of Graz, Department of Neurology, Graz, Austria
| | - Stefan Ropele
- Medical University of Graz, Department of Neurology, Graz, Austria
| | - Sebastian Wurth
- Medical University of Graz, Department of Neurology, Graz, Austria
| | - Anna Damulina
- Medical University of Graz, Department of Neurology, Graz, Austria
| | - Sebastian Eppinger
- Medical University of Graz, Department of Neurology, Graz, Austria; Medical University of Graz, Division of Neuroradiology & Interventional Radiology, Department of Radiology, Graz, Austria
| | - Rina Demjaha
- Medical University of Graz, Department of Neurology, Graz, Austria; Medical University of Graz, Neurology Biomarker Research Unit, Graz, Austria
| | - Michael Khalil
- Medical University of Graz, Department of Neurology, Graz, Austria; Medical University of Graz, Neurology Biomarker Research Unit, Graz, Austria
| | - Daniela Pinter
- Medical University of Graz, Research Unit for Neuronal Plasticity and Repair, Graz, Austria; Medical University of Graz, Department of Neurology, Graz, Austria.
| | - Christian Enzinger
- Medical University of Graz, Research Unit for Neuronal Plasticity and Repair, Graz, Austria; Medical University of Graz, Department of Neurology, Graz, Austria
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18
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Woltsche N, Valentin K, Hoeflechner L, Guttmann A, Horwath-Winter J, Schneider MR, Ivastinovic D, Lindner M, Schmetterer L, Singh N, Riedl R, Buchmann A, Khalil M, Lindner E. Neurofilament light chain: a new marker for neuronal decay in the anterior chamber fluid of patients with glaucoma. Br J Ophthalmol 2023; 107:1432-1437. [PMID: 35750478 DOI: 10.1136/bjo-2021-320828] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 06/10/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND/AIMS Neurofilament light chain (NfL) levels in cerebrospinal fluid and serum are reliable indicators for neuroaxonal damage in a broad spectrum of neurodegenerative diseases. Herein, we investigate NfL levels in serum and anterior chamber fluid of patients with glaucoma. METHODS Patients scheduled for routine glaucoma or cataract surgery were recruited for this study. Retinal nerve fibre layer thickness was measured by optical coherence tomography (OCT, Heidelberg Spectralis). NfL levels in serum and in anterior chamber fluid were analysed with Simoa SR-X Analyzer (Quanterix; NFLIGHT, Lexington, Massachusetts, USA). T-test was used for parametric data and Mann-Whitney-U test for nonparametric data. Spearman's rank-order correlation was used to investigate correlations. P values<0.05 were considered as statistically significant. RESULTS Sixty patients with glaucoma and 58 controls were enrolled. Serum NfL concentration of patients with glaucoma was similar to serum NfL concentration in controls (median (IQR); 22.7 (18.9) pg/mL vs 22.5 (24.0) pg/mL; p=0.763). A positive correlation of serum NfL with age was observed in both patients with glaucoma (r=0.77; p<0.001) and in the control group (r=0.82, p<0.001). In the anterior chamber fluid, the NfL concentration was substantially increased in patients with glaucoma compared with controls (20.7 (101.3) pg/mL vs 3.1 (2.9) pg/mL; p<0.001). Furthermore, we found a positive correlation of anterior chamber fluid NfL with preoperative intraocular pressure (r=0.39, p=0.003) and with retinal nerve fibre layer thickness (r=0.58, p<0.001). CONCLUSION NfL levels in anterior chamber fluid are elevated in patients with glaucoma and correlate with intraocular pressure and retinal nerve fibre layer thickness. The presented data strongly support anterior chamber fluid NfL as a new marker for glaucoma.
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Affiliation(s)
- Nora Woltsche
- Department of Ophthalmology, Medical University of Graz, Graz, Austria
| | | | - Lukas Hoeflechner
- Department of Ophthalmology, Medical University of Graz, Graz, Austria
| | - Andreas Guttmann
- Department of Ophthalmology, Medical University of Graz, Graz, Austria
| | | | | | | | - Marlene Lindner
- Department of Dentistry, Medical University of Graz, Graz, Steiermark, Austria
| | - Leopold Schmetterer
- Ocular Imaging, Singapore Eye Research Institute, Singapore
- Department of Clinical Pharmacology, Medical University of Vienna, Wien, Austria
| | - Neena Singh
- Department of Pathology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Regina Riedl
- Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Graz, Austria
| | - Arabella Buchmann
- Department of Neurology, Medical University of Graz, Graz, Steiermark, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Steiermark, Austria
| | - Ewald Lindner
- Department of Ophthalmology, Medical University of Graz, Graz, Austria
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Botros JM, Salem YSM, Khalil M, Algyar MF, Yassin HM. Effects of tidal volume challenge on the reliability of plethysmography variability index in hepatobiliary and pancreatic surgeries: a prospective interventional study. J Clin Monit Comput 2023; 37:1275-1285. [PMID: 36933167 PMCID: PMC10520182 DOI: 10.1007/s10877-023-00977-8] [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] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 01/18/2023] [Indexed: 03/19/2023]
Abstract
BACKGROUND The plethysmography variability index (PVI) is a non-invasive, real-time, and automated parameter for evaluating fluid responsiveness, but it does not reliably predict fluid responsiveness during low tidal volume (VT) ventilation. We hypothesized that in a 'tidal volume challenge' with a transient increase in tidal volume from 6 to 8 ml Kg- 1, the changes in PVI could predict fluid responsiveness reliably. METHOD We performed a prospective interventional study in adult patients undergoing hepatobiliary or pancreatic tumor resections and receiving controlled low VT ventilation. The values for PVI, perfusion index, stroke volume variation, and stroke volume index (SVI) were recorded at baseline VT of 6 ml Kg- 1, 1 min after the VT challenge (8 ml Kg- 1), 1 min after VT 6 ml Kg- 1 reduced back again, and then 5 min after crystalloid fluid bolus 6 ml kg- 1 (actual body weight) administered over 10 min. The fluid responders were identified by SVI rise ≥ 10% after the fluid bolus. RESULTS The area under the receiver operating characteristic curve for PVI value change (ΔPVI6-8) after increasing VT from 6 to 8 ml Kg- 1 was 0.86 (95% confidence interval, 0.76-0.96), P < 0.001, 95% sensitivity, 68% specificity, and with best cut-off value of absolute change (ΔPVI6-8) = 2.5%. CONCLUSION In hepatobiliary and pancreatic surgeries, tidal volume challenge improves the reliability of PVI for predicting fluid responsiveness and changes in PVI values obtained after tidal volume challenge are comparable to the changes in SVI.
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Affiliation(s)
- J. M. Botros
- Department of Anesthesia and Intensive Care, Fayoum University Hospital, Fayoum University, Fayoum government, Egypt
| | - Y. S. M. Salem
- Department of Anesthesia and Intensive Care, Fayoum University Hospital, Fayoum University, Fayoum government, Egypt
| | - M. Khalil
- Department of Anesthesia and Intensive Care, National Liver Institute, Menoufia University, Menoufia government, Egypt
| | - M. F. Algyar
- Department of Anesthesiology, Surgical Intensive Care Unit and pain management, Kafrelsheikh University, Kafrelsheikh government, Egypt
| | - H. M. Yassin
- Department of Anesthesia and Intensive Care, Fayoum University Hospital, Fayoum University, Fayoum government, Egypt
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20
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Balazs I, Horvath A, Heschl B, Khalil M, Enzinger C, Stadlbauer V, Seifert-Held T. Anti-CD20 treatment and neutrophil function in central nervous system demyelinating diseases. J Neuroimmunol 2023; 381:578136. [PMID: 37364519 DOI: 10.1016/j.jneuroim.2023.578136] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/29/2023] [Accepted: 06/18/2023] [Indexed: 06/28/2023]
Abstract
INTRODUCTION A contribution of neutrophil granulocytes to the pathogenesis of multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD) is recognized. Anti-CD20 treatments applied in these diseases are associated with infectious complications and neutropenia. No data is available about functional characteristics of neutrophils obtained from patients with anti-CD20 treatments. METHODS In neutrophils isolated from 13 patients with anti-CD20 treatment (9 MS, 4 NMOSD), 11 patients without anti-CD20 treatment (9 MS, 2 NMOSD) and 5 healthy controls, we analyzed chemotaxis, production of reactive oxygen species (ROS), phagocytosis, and formation of neutrophil extracellular traps (NET) in vitro. RESULTS Chemotaxis and ROS production were found unchanged between patients with and without anti-CD20 treatment or between patients and healthy controls. We found a higher proportion of non-phagocytosing cells in patients without anti-CD20 treatment compared to patients with anti-CD20 treatment and healthy controls. As compared to healthy controls, a higher proportion of neutrophils from patients without anti-CD20 treatments underwent NET formation, either unstimulated or stimulated with phorbol 12-myristate 3-acetate for 3 h. In about half of patients with anti-CD20 treatment (n = 7), NET formation of unstimulated neutrophils occurred already within 20 min of incubation. This was not observed in patients without anti-CD20 treatment and healthy controls. CONCLUSION Anti-CD20 treatment in MS and NMOSD patients does not alter chemotaxis and ROS production of neutrophils in vitro but might restore their impaired phagocytosis in these diseases. Our study reveals a predisposition to early NET formation in vitro of neutrophils obtained from patients with anti-CD20 treatment. This may contribute to associated risks of neutropenia and infections.
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Affiliation(s)
- Irina Balazs
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; Center for Biomarker Research in Medicine, Stiftingtalstrasse 5, 8010 Graz, Austria
| | - Angela Horvath
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; Center for Biomarker Research in Medicine, Stiftingtalstrasse 5, 8010 Graz, Austria
| | - Bettina Heschl
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria
| | - Vanessa Stadlbauer
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; Center for Biomarker Research in Medicine, Stiftingtalstrasse 5, 8010 Graz, Austria
| | - Thomas Seifert-Held
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria; Department of Neurology, Hospital Murtal, Gaaler Strasse 10, 8720 Knittelfeld, Austria.
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21
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Haindl MT, Üçal M, Wonisch W, Lang M, Nowakowska M, Adzemovic MZ, Khalil M, Enzinger C, Hochmeister S. Vitamin D-An Effective Antioxidant in an Animal Model of Progressive Multiple Sclerosis. Nutrients 2023; 15:3309. [PMID: 37571246 PMCID: PMC10421326 DOI: 10.3390/nu15153309] [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] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/21/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Vitamin D (VD) is the most discussed antioxidant supplement for multiple sclerosis (MS) patients and many studies suggest correlations between a low VD serum level and onset and progression of the disease. While many studies in animals as well as clinical studies focused on the role of VD in the relapsing-remitting MS, knowledge is rather sparse for the progressive phase of the disease and the development of cortical pathology. In this study, we used our established rat model of cortical inflammatory demyelination, resembling features seen in late progressive MS, to address the question about whether VD could have positive effects on reducing cortical pathology, oxidative stress, and neurofilament light chain (NfL) serum levels. For this purpose, we used male Dark Agouti (DA) rats, with one group being supplemented with VD (400 IE per week; VD+) from the weaning on at age three weeks; the other group received standard rodent food. The rat brains were assessed using immunohistochemical markers against demyelination, microglial activation, apoptosis, neurons, neurofilament, and reactive astrocytes. To evaluate the effect of VD on oxidative stress and the antioxidant capacity, we used two different oxidized lipid markers (anti- Cu++ and HOCl oxidized LDL antibodies) along with colorimetric methods for protective polyphenols (PP) and total antioxidative capacity (TAC). NfL serum levels of VD+ and VD- animals were analyzed by fourth generation single-molecule array (SIMOA) analysis. We found significant differences between the VD+ and VD- animals both in histopathology as well as in all serum markers. Myelin loss and microglial activation is lower in VD+ animals and the number of apoptotic cells is significantly reduced with a higher neuronal survival. VD+ animals show significantly lower NfL serum levels, a higher TAC, and more PP. Additionally, there is a significant reduction of oxidized lipid markers in animals under VD supplementation. Our data thus show a positive effect of VD on cellular features of cortical pathology in our animal model, presumably due to protection against reactive oxygen species. In this study, VD enhanced remyelination and prevented neuroaxonal and oxidative damage, such as demyelination and neurodegeneration. However, more studies on VD dose relations are required to establish an optimal response while avoiding overdosing.
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Affiliation(s)
| | - Muammer Üçal
- Department of Neurosurgery, Medical University of Graz, 8036 Graz, Austria
| | - Willibald Wonisch
- Otto Loewi Research Center, Department of Physiological Medicine, Medical University of Graz, 8010 Graz, Austria
| | - Michaela Lang
- Department of Neurology, Medical University of Graz, 8036 Graz, Austria
- Faculty of Health, University of Applied Sciences Wiener Neustadt, Campus 1, 2700 Wiener Neustadt, Austria
| | - Marta Nowakowska
- Department of Neurosurgery, Medical University of Graz, 8036 Graz, Austria
| | - Milena Z. Adzemovic
- Department of Clinical Neuroscience, Karolinska Institutet, 171 64 Stockholm, Sweden
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, 8036 Graz, Austria
| | | | - Sonja Hochmeister
- Department of Neurology, Medical University of Graz, 8036 Graz, Austria
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22
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Meier S, Willemse EA, Schaedelin S, Oechtering J, Lorscheider J, Melie-Garcia L, Cagol A, Barakovic M, Galbusera R, Subramaniam S, Barro C, Abdelhak A, Thebault S, Achtnichts L, Lalive P, Müller S, Pot C, Salmen A, Disanto G, Zecca C, D’Souza M, Orleth A, Khalil M, Buchmann A, Du Pasquier R, Yaldizli Ö, Derfuss T, Berger K, Hermesdorf M, Wiendl H, Piehl F, Battaglini M, Fischer U, Kappos L, Gobbi C, Granziera C, Bridel C, Leppert D, Maleska Maceski A, Benkert P, Kuhle J. Serum Glial Fibrillary Acidic Protein Compared With Neurofilament Light Chain as a Biomarker for Disease Progression in Multiple Sclerosis. JAMA Neurol 2023; 80:287-297. [PMID: 36745446 PMCID: PMC10011932 DOI: 10.1001/jamaneurol.2022.5250] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/23/2022] [Indexed: 02/07/2023]
Abstract
Importance There is a lack of validated biomarkers for disability progression independent of relapse activity (PIRA) in multiple sclerosis (MS). Objective To determine how serum glial fibrillary acidic protein (sGFAP) and serum neurofilament light chain (sNfL) correlate with features of disease progression vs acute focal inflammation in MS and how they can prognosticate disease progression. Design, Setting, and Participants Data were acquired in the longitudinal Swiss MS cohort (SMSC; a consortium of tertiary referral hospitals) from January 1, 2012, to October 20, 2022. The SMSC is a prospective, multicenter study performed in 8 centers in Switzerland. For this nested study, participants had to meet the following inclusion criteria: cohort 1, patients with MS and either stable or worsening disability and similar baseline Expanded Disability Status Scale scores with no relapses during the entire follow-up; and cohort 2, all SMSC study patients who had initiated and continued B-cell-depleting treatment (ie, ocrelizumab or rituximab). Exposures Patients received standard immunotherapies or were untreated. Main Outcomes and Measures In cohort 1, sGFAP and sNfL levels were measured longitudinally using Simoa assays. Healthy control samples served as the reference. In cohort 2, sGFAP and sNfL levels were determined cross-sectionally. Results This study included a total of 355 patients (103 [29.0%] in cohort 1: median [IQR] age, 42.1 [33.2-47.6] years; 73 female patients [70.9%]; and 252 [71.0%] in cohort 2: median [IQR] age, 44.3 [33.3-54.7] years; 156 female patients [61.9%]) and 259 healthy controls with a median [IQR] age of 44.3 [36.3-52.3] years and 177 female individuals (68.3%). sGFAP levels in controls increased as a function of age (1.5% per year; P < .001), were inversely correlated with BMI (-1.1% per BMI unit; P = .01), and were 14.9% higher in women than in men (P = .004). In cohort 1, patients with worsening progressive MS showed 50.9% higher sGFAP levels compared with those with stable MS after additional sNfL adjustment, whereas the 25% increase of sNfL disappeared after additional sGFAP adjustment. Higher sGFAP at baseline was associated with accelerated gray matter brain volume loss (per doubling: 0.24% per year; P < .001) but not white matter loss. sGFAP levels remained unchanged during disease exacerbations vs remission phases. In cohort 2, median (IQR) sGFAP z scores were higher in patients developing future confirmed disability worsening compared with those with stable disability (1.94 [0.36-2.23] vs 0.71 [-0.13 to 1.73]; P = .002); this was not significant for sNfL. However, the combined elevation of z scores of both biomarkers resulted in a 4- to 5-fold increased risk of confirmed disability worsening (hazard ratio [HR], 4.09; 95% CI, 2.04-8.18; P < .001) and PIRA (HR, 4.71; 95% CI, 2.05-9.77; P < .001). Conclusions and Relevance Results of this cohort study suggest that sGFAP is a prognostic biomarker for future PIRA and revealed its complementary potential next to sNfL. sGFAP may serve as a useful biomarker for disease progression in MS in individual patient management and drug development.
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Affiliation(s)
- Stephanie Meier
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Eline A.J. Willemse
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sabine Schaedelin
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Johanna Oechtering
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Johannes Lorscheider
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Lester Melie-Garcia
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Alessandro Cagol
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Muhamed Barakovic
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Riccardo Galbusera
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Suvitha Subramaniam
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christian Barro
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Ahmed Abdelhak
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco
| | - Simon Thebault
- Department of Medicine and the Ottawa Hospital Research Institute, The University of Ottawa, Ottawa, Ontario, Canada
| | - Lutz Achtnichts
- Department of Neurology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Patrice Lalive
- Unit of Neuroimmunology, Division of Neurology, Department of Clinical Neurosciences, University Hospital of Geneva and Faculty of Medicine, Geneva, Switzerland
| | - Stefanie Müller
- Department of Neurology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Caroline Pot
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Anke Salmen
- Department of Neurology, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Giulio Disanto
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Chiara Zecca
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Marcus D’Souza
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Annette Orleth
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Renaud Du Pasquier
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Özgür Yaldizli
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Tobias Derfuss
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Marco Hermesdorf
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
- Center for Neurology, Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden
| | - Marco Battaglini
- Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
| | - Urs Fischer
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Ludwig Kappos
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Claudio Gobbi
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Cristina Granziera
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Claire Bridel
- Unit of Neuroimmunology, Division of Neurology, Department of Clinical Neurosciences, University Hospital of Geneva and Faculty of Medicine, Geneva, Switzerland
| | - David Leppert
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Aleksandra Maleska Maceski
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Pascal Benkert
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
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23
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Buchmann A, Pirpamer L, Pinter D, Voortman M, Helmlinger B, Pichler A, Maceski AM, Benkert P, Bachmaier G, Ropele S, Reindl M, Leppert D, Kuhle J, Enzinger C, Khalil M. High serum neurofilament light chain levels correlate with brain atrophy and physical disability in multiple sclerosis. Eur J Neurol 2023; 30:1389-1399. [PMID: 36779855 DOI: 10.1111/ene.15742] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/23/2022] [Accepted: 02/02/2023] [Indexed: 02/14/2023]
Abstract
BACKGROUND AND PURPOSE Serum neurofilament light chain (sNfL) is a promising biomarker of neuroaxonal damage in persons with multiple sclerosis (pwMS). In cross-sectional studies, sNfL has been associated with disease activity and brain magnetic resonance imaging (MRI) changes; however, it is still unclear to what extent in particular high sNfL levels impact on subsequent disease evolution. METHODS sNfL was quantified by an ultrasensitive single molecule array (Simoa) in 199 pwMS (median age = 34.2 years, 64.3% female) and 49 controls. All pwMS underwent 3-T MRI to assess global and compartmental normalized brain volumes, T2-lesion load, and cortical mean thickness. Follow-up data and serum samples were available in 144 pwMS (median follow-up time = 3.8 years). Linear and binary logistic models were used to estimate the independent contribution of sNfL for changes in MRI and Expanded Disability Status Scale (EDSS). Age-corrected sNfL z-scores from a normative database of healthy controls were used for sensitivity analyses. RESULTS High sNfL levels at baseline were associated with atrophy measures of the whole brain (standardized beta coefficient βj = -0.352, p < 0.001), white matter (βj = -0.229, p = 0.007), thalamus (βj = -0.372, p = 0.004), and putamen (βj = -1.687, p = 0.012). pwMS with high levels of sNfL at baseline and follow-up had a greater risk of EDSS worsening (p = 0.007). CONCLUSIONS Already single time point elevation of sNfL has a distinct effect on brain volume changes over a short-term period, and repeated high levels of sNfL indicate accumulating physical disability. Serial assessment of sNfL may provide added value in the clinical management of pwMS.
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Affiliation(s)
| | - Lukas Pirpamer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Daniela Pinter
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | | | | | - Aleksandra Maleska Maceski
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland.,Multiple Sclerosis Center and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland.,Multiple Sclerosis Center and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - Gerhard Bachmaier
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Markus Reindl
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - David Leppert
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland.,Multiple Sclerosis Center and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland.,Multiple Sclerosis Center and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Graz, Austria.,Division of Neuroradiology, Vascular and Interventional Radiology, Medical University of Graz, Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
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Hegen H, Walde J, Berek K, Arrambide G, Gnanapavan S, Kaplan B, Khalil M, Saadeh R, Teunissen C, Tumani H, Villar LM, Willrich MAV, Zetterberg H, Deisenhammer F. Cerebrospinal fluid kappa free light chains for the diagnosis of multiple sclerosis: A systematic review and meta-analysis. Mult Scler 2023; 29:169-181. [PMID: 36453167 PMCID: PMC9925892 DOI: 10.1177/13524585221134213] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [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] [Indexed: 12/05/2022]
Abstract
BACKGROUND Intrathecal immunoglobulin-G synthesis is a hallmark of multiple sclerosis (MS), which can be detected by oligoclonal IgG bands (OCB) or by κ-free light chains (κ-FLC) in cerebrospinal fluid. OBJECTIVE To perform a systematic review and meta-analysis to evaluate whether κ-FLC index has similar diagnostic value to identify patients with clinically isolated syndrome (CIS) or MS compared to OCB, and to determine κ-FLC index cut-off. METHODS PubMed was searched for studies that assessed diagnostic sensitivity and specificity of κ-FLC index and OCB to discriminate CIS/MS patients from control subjects. Two reviewers following preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines performed study eligibility assessment and data extraction. Findings from studies were analyzed with bivariate mixed models. RESULTS A total of 32 studies were included in the meta-analysis to evaluate diagnostic value of κ-FLC index. Sensitivity and specificity ranged from 52% to 100% (weighted average: 88%) and 69% to 100% (89%) for κ-FLC index and from 37% to 100% (85%) and 74% to 100% (92%) for OCB. Mean difference of sensitivity and specificity between κ-FLC index and OCB was 2 and -4 percentage points. Diagnostic accuracy determined by mixed models revealed no significant difference between κ-FLC index and OCB. A discriminatory cut-off for κ-FLC index was determined at 6.1. CONCLUSION The findings indicate that κ-FLC index has similar diagnostic accuracy in MS as OCB.
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Affiliation(s)
- Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Janette Walde
- Department of Statistics, Faculty of Economics and Statistics, University of Innsbruck, Innsbruck, Austria
| | - Klaus Berek
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Georgina Arrambide
- Centre d'Esclerosi Múltiple de Catalunya, Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Sharmilee Gnanapavan
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Batia Kaplan
- Laboratory of Hematology, Sheba Medical Center, Ramat Gan, Israel
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ruba Saadeh
- Department of Laboratory Medicine and Pathology and Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit, Amsterdam UMC, Amsterdam, The Netherlands
| | - Hayrettin Tumani
- CSF Laboratory, Department of Neurology, University of Ulm, Ulm, Germany
| | - Luisa M Villar
- Immunology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden/Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden/Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK/UK Dementia Research Institute, University College London, London, UK/Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
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Hegen H, Arrambide G, Gnanapavan S, Kaplan B, Khalil M, Saadeh R, Teunissen C, Tumani H, Villar LM, Willrich MAV, Zetterberg H, Deisenhammer F. Cerebrospinal fluid kappa free light chains for the diagnosis of multiple sclerosis: A consensus statement. Mult Scler 2023; 29:182-195. [PMID: 36527368 PMCID: PMC9925908 DOI: 10.1177/13524585221134217] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Cerebrospinal fluid (CSF) analysis is of utmost importance for diagnosis and differential diagnosis of patients with suspected multiple sclerosis (MS). Evidence of intrathecal immunoglobulin G (IgG) synthesis proves the inflammatory nature of the disease, increases diagnostic certainty and substitutes for dissemination in time according to current diagnostic criteria. The gold standard to determine intrathecal IgG synthesis is the detection of CSF-restricted oligoclonal bands (OCBs). However, advances in laboratory methods brought up κ-free light chains (FLCs) as a new biomarker, which are produced in excess over intact immunoglobulins and accumulate in CSF in the case of central nervous system-derived inflammation. Overwhelming evidence showed a high diagnostic accuracy of intrathecal κ-FLC synthesis in MS with sensitivity and specificity of approximately 90% similar to OCB. κ-FLCs have advantages as its detection is fast, easy, cost-effective, reliable, rater-independent and returning quantitative results which might also improve the value of predicting MS disease activity. An international panel of experts in MS and CSF diagnostics developed a consensus of all participants. Six recommendations are given for establishing standard CSF evaluation in patients suspected of having MS. The panel recommended to include intrathecal κ-FLC synthesis in the next revision of MS diagnostic criteria as an additional tool to measure intrathecal immunoglobulin synthesis.
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Affiliation(s)
- Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Georgina Arrambide
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sharmilee Gnanapavan
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Batia Kaplan
- Laboratory of Hematology, Sheba Medical Center, Ramat Gan, Israel
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ruba Saadeh
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA/Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Program Neuroinflammation, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Hayrettin Tumani
- CSF Laboratory, Department of Neurology, University of Ulm, Ulm, Germany
| | - Luisa Maria Villar
- Biostatistics Unit, Department of Immunology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden/Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden/Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK/UK Dementia Research Institute at UCL, London, UK/Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
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Callegari I, Schneider M, Aebischer V, Voortman MM, Proschmann U, Ziemssen T, Lindberg R, Fischer-Barnicol B, Khalil M, Kappos L, Kuhle J, Sanderson NS, Derfuss T. Natalizumab in cerebrospinal fluid and breastmilk of patients with multiple sclerosis. Ther Adv Neurol Disord 2023; 16:17562864221150040. [PMID: 36741352 PMCID: PMC9896084 DOI: 10.1177/17562864221150040] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 12/18/2022] [Indexed: 02/03/2023] Open
Abstract
Background Natalizumab is a highly effective monoclonal antibody for the treatment of multiple sclerosis (MS), which can diffuse in different anatomical compartments, including cerebrospinal fluid (CSF) and milk. Objectives Starting from incidental detection of natalizumab in the CSF of MS patients, the objective of this study was to develope a flow-cytometry-based assay and apply it to quantify natalizumab in body fluids, including milk collected from nursing patients over 180 days and in patients with neutralizing antibodies against natalizumab. Methods CSF, milk and sera samples from patients with multiple sclerosis were tested by flow-cytometry for binding to a VLA-4 expressing cell line or to a control cell line. A standard curve was prepared by incubating the same cells with natalizumab at 50 μg/ml and serially diluted to 0.005 ng/ml. Binding specificity was confirmed using an anti-natalizumab neutralizing antibody. Results Our assay was sensitive enough to detect natalizumab in CSF, with a lower detection limit of 1.5 ng/ml. Neutralizing antibodies against natalizumab inhibited binding to the cell line. In breastmilk, the peak concentration was observed during the first 2 weeks after infusion and the average concentration over the observation time was 173.3 ng/ml, with a trend toward increased average milk concentration over subsequent administrations. Conclusion Routine use of such an assay would enable a better understanding of the safety of therapeutic antibody administration during pregnancy and lactation.
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Affiliation(s)
- Ilaria Callegari
- Department of Biomedicine, University of Basel
and University Hospital Basel, Basel, Switzerland,Neurologic Clinic and Policlinic, MS Center and
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB),
University Hospital Basel and University of Basel, Basel, Switzerland
| | - Mika Schneider
- Department of Biomedicine, University of Basel
and University Hospital Basel, Basel, Switzerland
| | - Vera Aebischer
- Department of Biomedicine, University of Basel
and University Hospital Basel, Basel, Switzerland
| | | | - Undine Proschmann
- Neuroimmunological Lab, Center of Clinical
Neuroscience, Department of Neurology, University Hospital Carl Gustav
Carus, Technical University Dresden, Dresden, Germany
| | - Tjalf Ziemssen
- Neuroimmunological Lab, Center of Clinical
Neuroscience, Department of Neurology, University Hospital Carl Gustav
Carus, Technical University Dresden, Dresden, Germany
| | - Raija Lindberg
- Department of Biomedicine, University of Basel
and University Hospital Basel, Basel, Switzerland
| | - Bettina Fischer-Barnicol
- Neurologic Clinic and Policlinic, MS Center and
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB),
University Hospital Basel and University of Basel, Basel, Switzerland
| | - Michael Khalil
- Department of Neurology, Medical University of
Graz, Graz, Austria
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, MS Center
and Research Center for Clinical Neuroimmunology and Neuroscience Basel
(RC2NB), University Hospital Basel and University of Basel, Basel,
Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, MS Center
and Research Center for Clinical Neuroimmunology and Neuroscience Basel
(RC2NB), University Hospital Basel and University of Basel, Basel,
Switzerland
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Hodl I, Sallegger C, Forstner P, Sareban N, Moritz M, Dreo B, Schulz E, Lackner A, Kleinhappl B, Hatzl S, Moazedi-Fürst F, Seifert-Held T, Heschl B, Khalil M, Enzinger C, Greinix H, Stradner MH, Steinmetz I, Schlenke P, Fessler J. Altered cellular immune response to vaccination against SARS-CoV-2 in patients suffering from autoimmunity with B-cell depleting therapy. Microbes Infect 2023; 25:105103. [PMID: 36681177 PMCID: PMC9850844 DOI: 10.1016/j.micinf.2023.105103] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/20/2023]
Abstract
B-cell depleting therapies result in diminished humoral immunity following vaccination against COVID-19, but our understanding on the impact on cellular immune responses is limited. Here, we performed a detailed analysis of cellular immunity following mRNA vaccination in patients receiving B-cell depleting therapy using ELISpot assay and flow cytometry. Anti-SARS-CoV-2 spike receptor-binding domain antibody assays were performed to elucidate B-cell responses. To complement our cellular analysis, we performed immunophenotyping for T- and B-cell subsets. We show that SARS-CoV-2 vaccination using mRNA vaccines elicits cellular T-cell responses in patients under B-cell depleting therapy. Some facets of this immune response including TNFα production of CD4+ T-cells and granzyme B production of CD8+ T-cells, however, are distinctly diminished in these patients. Consequently, it appears that the finely coordinated process of T-cell activation with a uniform involvement of CD4+ and CD8+ T-cells as seen in HCs is disturbed in autoimmune patients. In addition, we observed that immune cell composition does impact cellular immunity as well as sustainability of anti-spike antibody titers. Our data suggest disturbed cellular immunity following mRNA vaccination in patients treated with B-cell depleting therapy. Immune cell composition may be an important determinant for vaccination efficacy.
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Affiliation(s)
- Isabel Hodl
- Division of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Clarissa Sallegger
- Division of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Patrick Forstner
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Nazanin Sareban
- Department of Blood Group Serology and Transfusion Medicine, Medical University of Graz, Graz, Austria
| | - Martina Moritz
- Department of Blood Group Serology and Transfusion Medicine, Medical University of Graz, Graz, Austria
| | - Barbara Dreo
- Division of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Eduard Schulz
- Division of Hematology, Department of Internal Medicine, Medical University of Graz, Graz, Austria,Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States
| | - Angelika Lackner
- Division of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Barbara Kleinhappl
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Stefan Hatzl
- Division of Hematology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Florentine Moazedi-Fürst
- Division of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | | | - Bettina Heschl
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Hildegard Greinix
- Division of Hematology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Martin H. Stradner
- Division of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria,Corresponding author. Division of Rheumatology and Immunology Department of Internal Medicine Medical University of Graz Auenbruggerplatz 15, 8036 Graz, Austria. Tel.: +43/316/385-81794; fax: +43/316/385-17813
| | - Ivo Steinmetz
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Peter Schlenke
- Department of Blood Group Serology and Transfusion Medicine, Medical University of Graz, Graz, Austria
| | - Johannes Fessler
- Division of Immunology, Medical University of Graz, Graz, Austria
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Dörflinger B, Gummel K, Rupp S, Khalil M, Akintürk H, Jux C. Uhl's Anomaly and Giant Right Atrium: Rare Reasons for Enlarged Right-Sided Cardiac Cavities. Thorac Cardiovasc Surg 2023. [DOI: 10.1055/s-0043-1761881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2023]
Affiliation(s)
- B. Dörflinger
- Pediatric and Congenital Cardiology, Pediatric Heart Centre Giessen, Giessen, Germany, Deutschland
| | - K. Gummel
- Pediatric and Congenital Cardiology, Pediatric Heart Centre Giessen, Giessen, Germany, Deutschland
| | - S. Rupp
- Pediatric and Congenital Cardiology, Pediatric Heart Centre Giessen, Giessen, Germany, Deutschland
| | - M. Khalil
- Pediatric and Congenital Cardiology, Pediatric Heart Centre Giessen, Giessen, Germany, Deutschland
| | - H. Akintürk
- Pediatric and Congenital Heart Surgery, Pediatric Heart Centre Giessen, Giessen, Deutschland
| | - C. Jux
- Pediatric and Congenital Cardiology, Pediatric Heart Centre Giessen, Giessen, Germany, Deutschland
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Herrera-Rivero M, Hofer E, Maceski A, Leppert D, Benkert P, Kuhle J, Schmidt R, Khalil M, Wiendl H, Stoll M, Berger K. Evidence of polygenic regulation of the physiological presence of neurofilament light chain in human serum. Front Neurol 2023; 14:1145737. [PMID: 36970523 PMCID: PMC10030935 DOI: 10.3389/fneur.2023.1145737] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 02/20/2023] [Indexed: 03/29/2023] Open
Abstract
Introduction The measurement of neurofilament light chain (NfL) in blood is a promising biomarker of neurological injury and disease. We investigated the genetic factors that underlie serum NfL levels (sNfL) of individuals without neurological conditions. Methods We performed a discovery genome-wide association study (GWAS) of sNfL in participants of the German BiDirect Study (N = 1,899). A secondary GWAS for meta-analysis was performed in a small Austrian cohort (N = 287). Results from the meta-analysis were investigated in relation with several clinical variables in BiDirect. Results Our discovery GWAS identified 12 genomic loci at the suggestive threshold ((p < 1 × 10-5). After meta-analysis, 7 loci were suggestive of an association with sNfL. Genotype-specific differences in sNfL were observed for the lead variants of meta-analysis loci (rs34523114, rs114956339, rs529938, rs73198093, rs34372929, rs10982883, and rs1842909) in BiDirect participants. We identified potential associations in meta-analysis loci with markers of inflammation and renal function. At least 6 protein-coding genes (ACTG2, TPRKB, DMXL1, COL23A1, NAT1, and RIMS2) were suggested as genetic factors contributing to baseline sNfL levels. Discussion Our findings suggest that polygenic regulation of neuronal processes, inflammation, metabolism and clearance modulate the variability of NfL in the circulation. These could aid in the interpretation of sNfL measurements in a personalized manner.
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Affiliation(s)
- Marisol Herrera-Rivero
- Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, Münster, Germany
- *Correspondence: Marisol Herrera-Rivero
| | - Edith Hofer
- Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Aleksandra Maceski
- Neurologic Clinic and Polyclinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital of Basel, Basel, Switzerland
| | - David Leppert
- Neurologic Clinic and Polyclinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital of Basel, Basel, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, Department of Clinical Research, University Hospital of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Polyclinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital of Basel, Basel, Switzerland
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Monika Stoll
- Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, Münster, Germany
- Department of Biochemistry, Genetic Epidemiology and Statistical Genetics, Maastricht University, Maastricht, Netherlands
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
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Paar M, Seifried K, Cvirn G, Buchmann A, Khalil M, Oettl K. Redox State of Human Serum Albumin in Multiple Sclerosis: A Pilot Study. Int J Mol Sci 2022; 23:ijms232415806. [PMID: 36555448 PMCID: PMC9779316 DOI: 10.3390/ijms232415806] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/07/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
Like in many other pathologies, oxidative stress is involved in the development of neurodegenerative disorders. Human serum albumin (HSA) is the main protein in different body fluids including cerebrospinal fluid (CSF). By its redox state in terms of cysteine-34, albumin serves as marker for oxidative burden. We aimed to evaluate the redox state of HSA in patients with multiple sclerosis in serum and CSF in comparison to controls to identify possible correlations with disease activity and severity. Samples were stored at -70 °C until analysis by HPLC for the determination of albumin redox state in terms of the fractions of human mercaptalbumin (HMA), human nonmercaptalbumin1 (HNA1), and human nonmercaptalbumin2 (HNA2). Albumin in CSF showed significantly higher fractions of the reduced form HMA and decreased HNA1 and HNA2. There was no difference between albumin redox states in serum of patients and controls. In CSF of patients HNA2 showed a trend to higher fractions compared to controls. Albumin redox state in serum was associated with physical disability in remission while albumin redox state in CSF was related to disease activity. Thus, albumin redox state in serum and CSF of patients in relation to disease condition merits further investigation.
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Affiliation(s)
- Margret Paar
- Division of Medicinal Chemistry, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria
| | - Katharina Seifried
- Division of Medicinal Chemistry, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria
| | - Gerhard Cvirn
- Division of Medicinal Chemistry, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria
| | - Arabella Buchmann
- Department of Neurology, Medical University of Graz, 8036 Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, 8036 Graz, Austria
- Correspondence: (M.K.); (K.O.); Tel.: +43-(0)316-385-30313 (M.K.); +43-(0)316-385-72121 (K.O.)
| | - Karl Oettl
- Division of Medicinal Chemistry, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria
- Correspondence: (M.K.); (K.O.); Tel.: +43-(0)316-385-30313 (M.K.); +43-(0)316-385-72121 (K.O.)
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Hanemann CO, Abdelrahman A, Adams C, Sahm F, Urbanic-Purkart T, Khalil M, Vergura R, Morelli C. BIOM-56. MIR-497 AND 219 IN BLOOD AID MENINGIOMA CLASSIFICATIONMIR-497 AND 219 IN BLOOD AID MENINGIOMA CLASSIFICATION. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac209.066] [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] Open
Abstract
Abstract
There is a need for blood biomarkers for meningioma. The role of circulating micro RNA in cancer diagnosis has been the objective of several studies. One of the extensively studied miRNA in different types of cancer is the microRNA-497 (miR-497). This study systematically evaluated miR-497 as a meningioma biomarker for disease diagnosis and classification. We studied exosomal and serum miR-497 in 74 meningioma samples (WHO grade I=25, WHO grade II=25, and WHO grade III=24), and 53 healthy controls. We also tested two different normalisers, endogenous and external, and evaluated their impact on the diagnostic value of miR-497. Another microRNA studied in meningioma is miR-219, which increased with increasing tumour grade. We combined miR-497 and miR-219 and estimated the sensitivity and specificity of the joint biomarkers to indicate meningioma grade and the relationship between miR-497 and miR-219 expression level and methylation class of meningioma. The serum and exosomal level of miR-497 distinguished meningioma from the control samples. Moreover, miR-497 was a suitable identifier for meningioma grade. When we combined miR-497 and miR-219, the efficacy of the combined biomarker was higher than miR-497 or miR-219 when used individually in meningioma classification. Both miR-497 and miR-219 showed a noticeable change with the methylation class of meningioma.
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Affiliation(s)
| | - Ahmed Abdelrahman
- Peninsula Medical School, University of Plymouth , Plymouth , United Kingdom
| | - Claire Adams
- Peninsula Medical School, University of Plymouth , Plymouth , United Kingdom
| | - Felix Sahm
- Department of Neuropathology, University Hospital Heidelberg, and Clinical Cooperation Unit Neuropathology, German Consortium for Translational Cancer Research (DKTK) and German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | | | - Michael Khalil
- Department of Neurology, Medical University of Graz , Graz , Austria
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Abdelrahman A, Negroni C, Sahm F, Adams CL, Urbanic-Purkart T, Khalil M, Vergura R, Morelli C, Hanemann CO. miR-497 and 219 in blood aid meningioma classification. J Neurooncol 2022; 160:137-147. [PMID: 36076132 DOI: 10.1007/s11060-022-04126-0] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 08/30/2022] [Indexed: 11/29/2022]
Abstract
INTRODUCTION The current WHO classification and methylation status help predict meningioma recurrence and prognosis. However, up to date, there is no circulating biomarker showing clinical value in meningioma diagnosis or classification. Circulating miRNAs showed the potential to be used as cancer biomarkers in various tumours. This research evaluated specific miRNAs, miR-497 and miR-219, as convenient and efficient predictors of meningioma grades. METHODS We studied serum and exosomal levels of miR-497 in 74 meningioma samples (WHO grade I = 25, WHO grade II = 25, and WHO grade III = 24) and 53 healthy controls. The serum level of miR-219 was studied in 56 meningioma samples WHO grade I = 22, WHO grade II = 14, and WHO grade III = 20). We used qPCR for miRNA quantification. We also tested two different normalisers, endogenous and external, and evaluated their impact on the diagnostic value of miR-497. RESULTS The serum and exosomal levels of miR-497 distinguished meningioma from the control samples. Moreover, miR-497 was a suitable identifier for meningioma grade. When we combined miR-497 and miR-219, the efficacy of the combined biomarker was higher than miR-497 or miR-219 when used individually in meningioma classification. Both miR-497 and miR-219 showed a noticeable change with the methylation class of meningioma. CONCLUSION This study shows that serum miR-497 is an effective and easy-to-measure biomarker for meningioma diagnosis and classification. Moreover, when we combined miR-497 and miR-219, the combined biomarker showed enhanced accuracy in meningioma classification. Furthermore, this is the first study to evaluate the correlation between serum circulating miRNA and the methylation status in meningioma.
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Affiliation(s)
- Ahmed Abdelrahman
- Peninsula Medical School, Faculty of Health, Medicine, Dentistry and Human Sciences, University of Plymouth, The John Bull Building, Plymouth Science Park, Research Way, Plymouth, PL6 8BU, UK
| | - Caterina Negroni
- Peninsula Medical School, Faculty of Health, Medicine, Dentistry and Human Sciences, University of Plymouth, The John Bull Building, Plymouth Science Park, Research Way, Plymouth, PL6 8BU, UK
| | - Felix Sahm
- Department of Neuropathology, Institute of Pathology, University Hospital Heidelberg, 69126, Heidelberg, Germany
| | - Claire L Adams
- Peninsula Medical School, Faculty of Health, Medicine, Dentistry and Human Sciences, University of Plymouth, The John Bull Building, Plymouth Science Park, Research Way, Plymouth, PL6 8BU, UK
| | - Tadeja Urbanic-Purkart
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria
| | | | | | - Clemens Oliver Hanemann
- Peninsula Medical School, Faculty of Health, Medicine, Dentistry and Human Sciences, University of Plymouth, The John Bull Building, Plymouth Science Park, Research Way, Plymouth, PL6 8BU, UK.
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Delaby C, Teunissen CE, Blennow K, Alcolea D, Arisi I, Amar EB, Beaume A, Bedel A, Bellomo G, Bigot‐Corbel E, Bjerke M, Blanc‐Quintin M, Boada M, Bousiges O, Chapman MD, DeMarco ML, D'Onofrio M, Dumurgier J, Dufour‐Rainfray D, Engelborghs S, Esselmann H, Fogli A, Gabelle A, Galloni E, Gondolf C, Grandhomme F, Grau‐Rivera O, Hart M, Ikeuchi T, Jeromin A, Kasuga K, Keshavan A, Khalil M, Körtvelyessy P, Kulczynska‐Przybik A, Laplanche J, Lewczuk P, Li Q, Lleó A, Malaplate C, Marquié M, Masters CL, Mroczko B, Nogueira L, Orellana A, Otto M, Oudart J, Paquet C, Paoletti FP, Parnetti L, Perret‐Liaudet A, Peoc'h K, Poesen K, Puig‐Pijoan A, Quadrio I, Quillard‐Muraine M, Rucheton B, Schraen S, Schott JM, Shaw LM, Suárez‐Calvet M, Tsolaki M, Tumani H, Udeh‐Momoh CT, Vaudran L, Verbeek MM, Verde F, Vermunt L, Vogelgsang J, Wiltfang J, Zetterberg H, Lehmann S. Clinical reporting following the quantification of cerebrospinal fluid biomarkers in Alzheimer's disease: An international overview. Alzheimers Dement 2022; 18:1868-1879. [PMID: 34936194 PMCID: PMC9787404 DOI: 10.1002/alz.12545] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 10/11/2021] [Accepted: 10/25/2021] [Indexed: 01/28/2023]
Abstract
INTRODUCTION The current practice of quantifying cerebrospinal fluid (CSF) biomarkers as an aid in the diagnosis of Alzheimer's disease (AD) varies from center to center. For a same biochemical profile, interpretation and reporting of results may differ, which can lead to misunderstandings and raises questions about the commutability of tests. METHODS We obtained a description of (pre-)analytical protocols and sample reports from 40 centers worldwide. A consensus approach allowed us to propose harmonized comments corresponding to the different CSF biomarker profiles observed in patients. RESULTS The (pre-)analytical procedures were similar between centers. There was considerable heterogeneity in cutoff definitions and report comments. We therefore identified and selected by consensus the most accurate and informative comments regarding the interpretation of CSF biomarkers in the context of AD diagnosis. DISCUSSION This is the first time that harmonized reports are proposed across worldwide specialized laboratories involved in the biochemical diagnosis of AD.
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Affiliation(s)
- Constance Delaby
- LBPC‐PPCUniv MontpellierCHU MontpellierINSERMMontpellierFrance,Hospital de la Santa Creu i Sant Pau ‐ Biomedical Research Institute Sant Pau ‐ Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Charlotte E. Teunissen
- Neurochemistry LabDepartment of Clinical ChemistryAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamNetherlands
| | - Kaj Blennow
- Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
| | - Daniel Alcolea
- Hospital de la Santa Creu i Sant Pau ‐ Biomedical Research Institute Sant Pau ‐ Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Ivan Arisi
- European Brain Research Institute (EBRI) “Rita Levi‐Montalcini”RomaItaly
| | - Elodie Bouaziz Amar
- Université de ParisCognitive Neurology CenterGHU APHP Nord Lariboisière Fernand‐Widal HospitalParisFrance
| | | | | | - Giovanni Bellomo
- Lab of Clinical NeurochemistrySection of NeurologyDept. of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | | | - Maria Bjerke
- Vrije Universiteit BrusselCenter for Neurosciences and Department of Clinical BiologyClinical Neurochemistry LaboratoryUniversitair Ziekenhuis BrusselBrusselsBelgium,Department of Biomedical Sciences, Institute Born‐BungeUniversity of AntwerpAntwerpBelgium
| | | | - Mercè Boada
- Research Center and Memory ClinicFundació ACEInstitut Català de Neurociències Aplicades and Universitat Internacional de Catalunya (UIC)BarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Olivier Bousiges
- Laboratoire de Biochimie et Biologie Moléculaire, et CNRSICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg)Team IMISHôpitaux Universitaires de StrasbourgStrasbourgFrance
| | - Miles D Chapman
- Department of NeuroimmunologyNational Hospital for Neurology and Neurosurgery, UCL Queen SquareLondonUK
| | - Mari L. DeMarco
- Department of Pathology and Laboratory MedicineSt. Paul's Hospital, Providence Health Care, Vancouver, Canada & Department of Pathology & Laboratory MedicineUniversity of British ColumbiaVancouverCanada
| | - Mara D'Onofrio
- European Brain Research Institute (EBRI) “Rita Levi‐Montalcini”RomaItaly
| | - Julien Dumurgier
- Université de ParisCognitive Neurology CenterGHU APHP Nord Lariboisière Fernand‐Widal HospitalParisFrance
| | | | - Sebastiaan Engelborghs
- Department of Biomedical Sciences, Institute Born‐BungeUniversity of AntwerpAntwerpBelgium,Vrije Universiteit BrusselUniversitair Ziekenhuis BrusselCenter for Neurosciences and Department of NeurologyBrusselsBelgium
| | - Hermann Esselmann
- Department of Psychiatry and PsychotherapyUniversity Medical Center Goettingen (UMGGoettingenGermany
| | - Anne Fogli
- CHU Clermont‐FerrandClermont‐FerrandFrance
| | - Audrey Gabelle
- LBPC‐PPCUniv MontpellierCHU MontpellierINSERMMontpellierFrance
| | | | | | | | - Oriol Grau‐Rivera
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain,Servei de NeurologiaHospital del MarUnitat de deteriorament cognitiu i transtorns del movimentBarcelonaSpain,IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES)MadridSpain
| | - Melanie Hart
- Department of NeuroimmunologyNational Hospital for Neurology and Neurosurgery, UCL Queen SquareLondonUK
| | - Takeshi Ikeuchi
- Dept. of Molecular GeneticsCenter for BioresourcesBrain Research InstituteNiigata UniversityNiigataJapan
| | | | - Kensaku Kasuga
- Dept. of Molecular GeneticsCenter for BioresourcesBrain Research InstituteNiigata UniversityNiigataJapan
| | - Ashvini Keshavan
- Dementia Research CentreUCL Queen Square Institute of NeurologyLondonUK
| | | | - Peter Körtvelyessy
- Freie Universität Berlin and Humboldt‐Universität zu BerlinDepartment of NeurologyGerman Center for Neurodegenerative Diseases, Magdeburg, Germany and Charité‐Universitäts medizin BerlinBerlinGermany
| | | | - Jean‐Louis Laplanche
- Université de ParisCognitive Neurology CenterGHU APHP Nord Lariboisière Fernand‐Widal HospitalParisFrance
| | - Piotr Lewczuk
- Department of Neurodegeneration DiagnosticsMedical University of BialystokBialystokPoland,Lab for Clinical Neurochemistry and Neurochemical Dementia DiagnosticsUniversitätsklinikum Erlangen and Friedrich‐Alexander Universität Erlangen‐NürnbergErlangenGermany
| | - Qiao‐Xin Li
- Florey Institute and The University of MelbourneMelbourneVictoriaAustralia
| | - Alberto Lleó
- Hospital de la Santa Creu i Sant Pau ‐ Biomedical Research Institute Sant Pau ‐ Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Catherine Malaplate
- CHRU de NancyLaboratoire de BiochimieBiologie Moléculaire et Nutrition/ Université de LorraineNancyFrance
| | - Marta Marquié
- Research Center and Memory ClinicFundació ACEInstitut Català de Neurociències Aplicades and Universitat Internacional de Catalunya (UIC)BarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Colin L. Masters
- Florey Institute and The University of MelbourneMelbourneVictoriaAustralia
| | - Barbara Mroczko
- Department of Neurodegeneration DiagnosticsMedical University of BialystokBialystokPoland
| | - Léonor Nogueira
- Laboratoire de Biologie Cellulaire et CytologieCHU PURPANToulouseFrance
| | - Adelina Orellana
- Research Center and Memory ClinicFundació ACEInstitut Català de Neurociències Aplicades and Universitat Internacional de Catalunya (UIC)BarcelonaSpain,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
| | - Markus Otto
- Department of Neurology and CSF LaboratoryUniversity of UlmUlmGermany
| | | | - Claire Paquet
- Université de ParisCognitive Neurology CenterGHU APHP Nord Lariboisière Fernand‐Widal HospitalParisFrance
| | - Federico Paolini Paoletti
- Lab of Clinical NeurochemistrySection of NeurologyDept. of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Lucilla Parnetti
- Lab of Clinical NeurochemistrySection of NeurologyDept. of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Armand Perret‐Liaudet
- Lyon Neuroscience Research Center BIORAN Team ‐ CNRS UMR 5292INSERM U1028Lyon University HospitalLyonFrance
| | - Katell Peoc'h
- Université de Paris GHU APHP Nord Beaujon HospitalParisFrance
| | - Koen Poesen
- Laboratory for Molecular Neurobiomarker Research (LaMoN)Department of NeurosciencesKU LeuvenLeuven Brain InstituteLeuvenBelgium
| | - Albert Puig‐Pijoan
- Servei de NeurologiaHospital del MarUnitat de deteriorament cognitiu i transtorns del movimentBarcelonaSpain,IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
| | - Isabelle Quadrio
- Lyon Neuroscience Research Center BIORAN Team ‐ CNRS UMR 5292INSERM U1028Lyon University HospitalLyonFrance
| | - Muriel Quillard‐Muraine
- UNIROUENRouen University HospitalDepartment of Clinical biologyBiochemistry laboratoryNormandie UnivRouenFrance
| | | | - Susanna Schraen
- InsermCHU LilleU1172‐LilNCogLICENDLabEx DISTALZUniversité de LilleLilleFrance
| | | | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine HospitalUniversity of PennsylvaniaPennsylvaniaUSA
| | - Marc Suárez‐Calvet
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain,Servei de NeurologiaHospital del MarUnitat de deteriorament cognitiu i transtorns del movimentBarcelonaSpain,IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES)MadridSpain
| | - Magda Tsolaki
- 1st Department of NeurologySchool of MedicineFaculty of Health of SciencesAristotle University of ThessalonikiThessalonikiGreece
| | - Hayrettin Tumani
- Department of Neurology and CSF LaboratoryUniversity of UlmUlmGermany
| | | | | | - Marcel M Verbeek
- Donders Institute for Brain, Cognition and BehaviourRadboud Alzheimer CentreDepartments of Neurology and Laboratory MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - Federico Verde
- Department of Neurology ‐ Stroke Unit and Laboratory of NeuroscienceIRCCS Istituto Auxologico ItalianoMilanItaly,Department of Pathophysiology and Transplantation“Dino Ferrari” Center, Università degli Studi di MilanoMilanItaly
| | - Lisa Vermunt
- Neurochemistry LabDepartment of Clinical ChemistryAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamNetherlands
| | - Jonathan Vogelgsang
- Department of Psychiatry and PsychotherapyUniversity Medical Center Goettingen (UMGGoettingenGermany,McLean HospitalTranslational Neuroscience LaboratoryHarvard Medical SchoolBelmontMassachusettsUSA
| | - Jens Wiltfang
- Department of Psychiatry and PsychotherapyUniversity Medical Center Goettingen (UMGGoettingenGermany,German Center for Neurodegenerative Diseases (DZNE)GoettingenGermany,Neurosciences and Signaling GroupInstitute of Biomedicine (iBiMED)Department of Medical SciencesUniversity of AveiroAveiroPortugal
| | - Henrik Zetterberg
- Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden,Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden,UK Dementia Research Institute at UCLLondonUK,Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
| | - Sylvain Lehmann
- LBPC‐PPCUniv MontpellierCHU MontpellierINSERMMontpellierFrance
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Khalil M, Pham NA, Tsao M. EP16.04-015 Chemotherapy Upregulates Programmed Cell Death Ligand 1 Expression in Non-Small Cell Lung Cancer Cell Lines and Patient-Derived Organoid Models. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.1123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Kouli O, Murray V, Bhatia S, Cambridge WA, Kawka M, Shafi S, Knight SR, Kamarajah SK, McLean KA, Glasbey JC, Khaw RA, Ahmed W, Akhbari M, Baker D, Borakati A, Mills E, Thavayogan R, Yasin I, Raubenheimer K, Ridley W, Sarrami M, Zhang G, Egoroff N, Pockney P, Richards T, Bhangu A, Creagh-Brown B, Edwards M, Harrison EM, Lee M, Nepogodiev D, Pinkney T, Pearse R, Smart N, Vohra R, Sohrabi C, Jamieson A, Nguyen M, Rahman A, English C, Tincknell L, Kakodkar P, Kwek I, Punjabi N, Burns J, Varghese S, Erotocritou M, McGuckin S, Vayalapra S, Dominguez E, Moneim J, Salehi M, Tan HL, Yoong A, Zhu L, Seale B, Nowinka Z, Patel N, Chrisp B, Harris J, Maleyko I, Muneeb F, Gough M, James CE, Skan O, Chowdhury A, Rebuffa N, Khan H, Down B, Fatimah Hussain Q, Adams M, Bailey A, Cullen G, Fu YXJ, McClement B, Taylor A, Aitken S, Bachelet B, Brousse de Gersigny J, Chang C, Khehra B, Lahoud N, Lee Solano M, Louca M, Rozenbroek P, Rozitis E, Agbinya N, Anderson E, Arwi G, Barry I, Batchelor C, Chong T, Choo LY, Clark L, Daniels M, Goh J, Handa A, Hanna J, Huynh L, Jeon A, Kanbour A, Lee A, Lee J, Lee T, Leigh J, Ly D, McGregor F, Moss J, Nejatian M, O'Loughlin E, Ramos I, Sanchez B, Shrivathsa A, Sincari A, Sobhi S, Swart R, Trimboli J, Wignall P, Bourke E, Chong A, Clayton S, Dawson A, Hardy E, Iqbal R, Le L, Mao S, Marinelli I, Metcalfe H, Panicker D, R HH, Ridgway S, Tan HH, Thong S, Van M, Woon S, Woon-Shoo-Tong XS, Yu S, Ali K, Chee J, Chiu C, Chow YW, Duller A, Nagappan P, Ng S, Selvanathan M, Sheridan C, Temple M, Do JE, Dudi-Venkata NN, Humphries E, Li L, Mansour LT, Massy-Westropp C, Fang B, Farbood K, Hong H, Huang Y, Joan M, Koh C, Liu YHA, Mahajan T, Muller E, Park R, Tanudisastro M, Wu JJG, Chopra P, Giang S, Radcliffe S, Thach P, Wallace D, Wilkes A, Chinta SH, Li J, Phan J, Rahman F, Segaran A, Shannon J, Zhang M, Adams N, Bonte A, Choudhry A, Colterjohn N, Croyle JA, Donohue J, Feighery A, Keane A, McNamara D, Munir K, Roche D, Sabnani R, Seligman D, Sharma S, Stickney Z, Suchy H, Tan R, Yordi S, Ahmed I, Aranha M, El Sabawy D, Garwood P, Harnett M, Holohan R, Howard R, Kayyal Y, Krakoski N, Lupo M, McGilberry W, Nepon H, Scoleri Y, Urbina C, Ahmad Fuad MF, Ahmed O, Jaswantlal D, Kelly E, Khan MHT, Naidu D, Neo WX, O'Neill R, Sugrue M, Abbas JD, Abdul-Fattah S, Azlan A, Barry K, Idris NS, Kaka N, Mc Dermott D, Mohammad Nasir MN, Mozo M, Rehal A, Shaikh Yousef M, Wong RH, Curran E, Gardner M, Hogan A, Julka R, Lasser G, Ní Chorráin N, Ting J, Browne R, George S, Janjua Z, Leung Shing V, Megally M, Murphy S, Ravenscroft L, Vedadi A, Vyas V, Bryan A, Sheikh A, Ubhi J, Vannelli K, Vawda A, Adeusi L, Doherty C, Fitzgerald C, Gallagher H, Gill P, Hamza H, Hogan M, Kelly S, Larry J, Lynch P, Mazeni NA, O'Connell R, O'Loghlin R, Singh K, Abbas Syed R, Ali A, Alkandari B, Arnold A, Arora E, Azam R, Breathnach C, Cheema J, Compton M, Curran S, Elliott JA, Jayasamraj O, Mohammed N, Noone A, Pal A, Pandey S, Quinn P, Sheridan R, Siew L, Tan EP, Tio SW, Toh VTR, Walsh M, Yap C, Yassa J, Young T, Agarwal N, Almoosawy SA, Bowen K, Bruce D, Connachan R, Cook A, Daniell A, Elliott M, Fung HKF, Irving A, Laurie S, Lee YJ, Lim ZX, Maddineni S, McClenaghan RE, Muthuganesan V, Ravichandran P, Roberts N, Shaji S, Solt S, Toshney E, Arnold C, Baker O, Belais F, Bojanic C, Byrne M, Chau CYC, De Soysa S, Eldridge M, Fairey M, Fearnhead N, Guéroult A, Ho JSY, Joshi K, Kadiyala N, Khalid S, Khan F, Kumar K, Lewis E, Magee J, Manetta-Jones D, Mann S, McKeown L, Mitrofan C, Mohamed T, Monnickendam A, Ng AYKC, Ortu A, Patel M, Pope T, Pressling S, Purohit K, Saji S, Shah Foridi J, Shah R, Siddiqui SS, Surman K, Utukuri M, Varghese A, Williams CYK, Yang JJ, Billson E, Cheah E, Holmes P, Hussain S, Murdock D, Nicholls A, Patel P, Ramana G, Saleki M, Spence H, Thomas D, Yu C, Abousamra M, Brown C, Conti I, Donnelly A, Durand M, French N, Goan R, O'Kane E, Rubinchik P, Gardiner H, Kempf B, Lai YL, Matthews H, Minford E, Rafferty C, Reid C, Sheridan N, Al Bahri T, Bhoombla N, Rao BM, Titu L, Chatha S, Field C, Gandhi T, Gulati R, Jha R, Jones Sam MT, Karim S, Patel R, Saunders M, Sharma K, Abid S, Heath E, Kurup D, Patel A, Ali M, Cresswell B, Felstead D, Jennings K, Kaluarachchi T, Lazzereschi L, Mayson H, Miah JE, Reinders B, Rosser A, Thomas C, Williams H, Al-Hamid Z, Alsadoun L, Chlubek M, Fernando P, Gaunt E, Gercek Y, Maniar R, Ma R, Matson M, Moore S, Morris A, Nagappan PG, Ratnayake M, Rockall L, Shallcross O, Sinha A, Tan KE, Virdee S, Wenlock R, Donnelly HA, Ghazal R, Hughes I, Liu X, McFadden M, Misbert E, Mogey P, O'Hara A, Peace C, Rainey C, Raja P, Salem M, Salmon J, Tan CH, Alves D, Bahl S, Baker C, Coulthurst J, Koysombat K, Linn T, Rai P, Sharma A, Shergill A, Ahmed M, Ahmed S, Belk LH, Choudhry H, Cummings D, Dixon Y, Dobinson C, Edwards J, Flint J, Franco Da Silva C, Gallie R, Gardener M, Glover T, Greasley M, Hatab A, Howells R, Hussey T, Khan A, Mann A, Morrison H, Ng A, Osmond R, Padmakumar N, Pervaiz F, Prince R, 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Upcott M, Vijayasingam D, Anarfi S, Dauncey J, Devindaran A, Havalda P, Komninos G, Mwendwa E, Norman C, Richards J, Urquhart A, Allan J, Cahya E, Hunt H, McWhirter C, Norton R, Roxburgh C, Tan JY, Ali Butt S, Hansdot S, Haq I, Mootien A, Sanchez I, Vainas T, Deliyannis E, Tan M, Vipond M, Chittoor Satish NN, Dattani A, De Carvalho L, Gaston-Grubb M, Karunanithy L, Lowe B, Pace C, Raju K, Roope J, Taylor C, Youssef H, Munro T, Thorn C, Wong KHF, Yunus A, Chawla S, Datta A, Dinesh AA, Field D, Georgi T, Gwozdz A, Hamstead E, Howard N, Isleyen N, Jackson N, Kingdon J, Sagoo KS, Schizas A, Yin L, Aung E, Aung YY, Franklin S, Han SM, Kim WC, Martin Segura A, Rossi M, Ross T, Tirimanna R, Wang B, Zakieh O, Ben-Arzi H, Flach A, Jackson E, Magers S, Olu abara C, Rogers E, Sugden K, Tan H, Veliah S, Walton U, Asif A, Bharwada Y, Bowley D, Broekhuizen A, Cooper L, Evans N, Girdlestone H, Ling C, Mann H, Mehmood N, Mulvenna CL, Rainer N, Trout I, Gujjuri R, Jeyaraman D, Leong E, Singh D, Smith E, Anderton J, Barabas M, Goyal S, Howard D, Joshi A, Mitchell D, Weatherby T, Badminton R, Bird R, Burtle D, Choi NY, Devalia K, Farr E, Fischer F, Fish J, Gunn F, Jacobs D, Johnston P, Kalakoutas A, Lau E, Loo YNAF, Louden H, Makariou N, Mohammadi K, Nayab Y, Ruhomaun S, Ryliskyte R, Saeed M, Shinde P, Sudul M, Theodoropoulou K, Valadao-Spoorenberg J, Vlachou F, Arshad SR, Janmohamed AM, Noor M, Oyerinde O, Saha A, Syed Y, Watkinson W, Ahmadi H, Akintunde A, Alsaady A, Bradley J, Brothwood D, Burton M, Higgs M, Hoyle C, Katsura C, Lathan R, Louani A, Mandalia R, Prihartadi AS, Qaddoura B, Sandland-Taylor L, Thadani S, Thompson A, Walshaw J, Teo S, Ali S, Bawa JH, Fox S, Gargan K, Haider SA, Hanna N, Hatoum A, Khan Z, Krzak AM, Li T, Pitt J, Tan GJS, Ullah Z, Wilson E, Cleaver J, Colman J, Copeland L, Coulson A, Davis P, Faisal H, Hassan F, Hughes JT, Jabr Y, Mahmoud Ali F, Nahaboo Solim ZN, Sangheli A, Shaya S, Thompson R, Cornwall H, De Andres Crespo M, Fay E, Findlay J, Groves E, Jones O, Killen A, Millo J, Thomas S, Ward J, Wilkins M, Zaki F, Zilber E, Bhavra K, Bilolikar A, Charalambous M, Elawad A, Eleni A, Fawdon R, Gibbins A, Livingstone D, Mala D, Oke SE, Padmakumar D, Patsalides MA, Payne D, Ralphs C, Roney A, Sardar N, Stefanova K, Surti F, Timms R, Tosney G, Bannister J, Clement NS, Cullimore V, Kamal F, Lendor J, McKay J, Mcswiggan J, Minhas N, Seneviratne K, Simeen S, Valverde J, Watson N, Bloom I, Dinh TH, Hirniak J, Joseph R, Kansagra M, Lai CKN, Melamed N, Patel J, Randev J, Sedighi T, Shurovi B, Sodhi J, Vadgama N, Abdulla S, Adabavazeh B, Champion A, Chennupati R, Chu K, Devi S, Haji A, Schulz J, Testa F, Davies P, Gurung B, Howell S, Modi P, Pervaiz A, Zahid M, Abdolrazaghi S, Abi Aoun R, Anjum Z, Bawa G, Bhardwaj R, Brown S, Enver M, Gill D, Gopikrishna D, Gurung D, Kanwal A, Kaushal P, Khanna A, Lovell E, McEvoy C, Mirza M, Nabeel S, Naseem S, Pandya K, Perkins R, Pulakal R, Ray M, Reay C, Reilly S, Round A, Seehra J, Shakeel NM, Singh B, 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G, Raheel F, Rajaseharan A, Ramgopal A, Risbrooke C, Selvaratnam K, Sethunath G, Tabassum R, Taylor J, Thakker A, Wijesingha N, Wybrew R, Yasin T, Ahmed Osman A, Alfadhel S, Carberry E, Chen JY, Drake I, Glen P, Jayasuriya N, Kawar L, Myatt R, Sinan LOH, Siu SSY, Tjen V, Adeboyejo O, Bacon H, Barnes R, Birnie C, D'Cunha Kamath A, Hughes E, Middleton S, Owen R, Schofield E, Short C, Smith R, Wang H, Willett M, Zimmerman M, Balfour J, Chadwick T, Coombe-Jones M, Do Le HP, Faulkner G, Hobson K, Shehata Z, Beattie M, Chmielewski G, Chong C, Donnelly B, Drusch B, Ellis J, Farrelly C, Feyi-Waboso J, Hibell I, Hoade L, Ho C, Jones H, Kodiatt B, Lidder P, Ni Cheallaigh L, Norman R, Patabendi I, Penfold H, Playfair M, Pomeroy S, Ralph C, Rottenburg H, Sebastian J, Sheehan M, Stanley V, Welchman J, Ajdarpasic D, Antypas A, Azouaghe O, Basi S, Bettoli G, Bhattarai S, Bommireddy L, Bourne K, Budding J, Cookey-Bresi R, Cummins T, Davies G, Fabelurin C, Gwilliam R, Hanley J, Hird A, Kruczynska A, Langhorne B, Lund J, Lutchman I, McGuinness R, Neary M, Pampapathi S, Pang E, Podbicanin S, Rai N, Redhouse White G, Sujith J, Thomas P, Walker I, Winterton R, Anderson P, Barrington M, Bhadra K, Clark G, Fowler G, Gibson C, Hudson S, Kaminskaite V, Lawday S, Longshaw A, MacKrill E, McLachlan F, Murdeshwar A, Nieuwoudt R, Parker P, Randall R, Rawlins E, Reeves SA, Rye D, Sirkis T, Sykes B, Ventress N, Wosinska N, Akram B, Burton L, Coombs A, Long R, Magowan D, Ong C, Sethi M, Williams G, Chan C, Chan LH, Fernando D, Gaba F, Khor Z, Les JW, Mak R, Moin S, Ng Kee Kwong KC, Paterson-Brown S, Tew YY, Bardon A, Burrell K, Coldwell C, Costa I, Dexter E, Hardy A, Khojani M, Mazurek J, Raymond T, Reddy V, Reynolds J, Soma A, Agiotakis S, Alsusa H, Desai N, Peristerakis I, Adcock A, Ayub H, Bennett T, Bibi F, Brenac S, Chapman T, Clarke G, Clark F, Galvin C, Gwyn-Jones A, Henry-Blake C, Kerner S, Kiandee M, Lovett A, Pilecka A, Ravindran R, Siddique H, Sikand T, Treadwell K, Akmal K, Apata A, Barton O, Broad G, Darling H, Dhuga Y, Emms L, Habib S, Jain R, Jeater J, Kan CYP, Kathiravelupillai A, Khatkar H, Kirmani S, Kulasabanathan K, Lacey H, Lal K, Manafa C, Mansoor M, McDonald S, Mittal A, Mustoe S, Nottrodt L, Oliver P, Papapetrou I, Pattinson F, Raja M, Reyhani H, Shahmiri A, Small O, Soni U, Aguirrezabala Armbruster B, Bunni J, Hakim MA, Hawkins-Hooker L, Howell KA, Hullait R, Jaskowska A, Ottewell L, Thomas-Jones I, Vasudev A, Clements B, Fenton J, Gill M, Haider S, Lim AJM, Maguire H, McMullan J, Nicoletti J, Samuel S, Unais MA, White N, Yao PC, Yow L, Boyle C, Brady R, Cheekoty P, Cheong J, Chew SJHL, Chow R, Ganewatta Kankanamge D, Mamer L, Mohammed B, Ng Chieng Hin J, Renji Chungath R, Royston A, Sharrad E, Sinclair R, Tingle S, Treherne K, Wyatt F, Maniarasu VS, Moug S, Appanna T, Bucknall T, Hussain F, Owen A, Parry M, Parry R, Sagua N, Spofforth K, Yuen ECT, Bosley N, Hardie W, Moore T, Regas C, Abdel-Khaleq S, Ali N, Bashiti H, Buxton-Hopley R, Constantinides M, D'Afflitto M, Deshpande A, Duque Golding J, Frisira E, Germani Batacchi M, Gomaa A, Hay D, Hutchison R, Iakovou A, Iakovou D, Ismail E, Jefferson S, Jones L, Khouli Y, Knowles C, Mason J, McCaughan R, Moffatt J, Morawala A, Nadir H, Neyroud F, Nikookam Y, Parmar A, Pinto L, Ramamoorthy R, Richards E, Thomson S, Trainer C, Valetopoulou A, Vassiliou A, Wantman A, Wilde S, Dickinson M, Rockall T, Senn D, Wcislo K, Zalmay P, Adelekan K, Allen K, Bajaj M, Gatumbu P, Hang S, Hashmi Y, Kaur T, Kawesha A, Kisiel A, Woodmass M, Adelowo T, Ahari D, Alhwaishel K, Atherton R, Clayton B, Cockroft A, Curtis Lopez C, Hilton M, Ismail N, Kouadria M, Lee L, MacConnachie A, Monks F, Mungroo S, Nikoletopoulou C, Pearce L, Sara X, Shahid A, Suresh G, Wilcha R, Atiyah A, Davies E, Dermanis A, Gibbons H, Hyde A, Lawson A, Lee C, Leung-Tack M, Li Saw Hee J, Mostafa O, Nair D, Pattani N, Plumbley-Jones J, Pufal K, Ramesh P, Sanghera J, Saram S, Scadding S, See S, Stringer H, Torrance A, Vardon H, Wyn-Griffiths F, Brew A, Kaur G, Soni D, Tickle A, Akbar Z, Appleyard T, Figg K, Jayawardena P, Johnson A, Kamran Siddiqui Z, Lacy-Colson J, Oatham R, Rowlands B, Sludden E, Turnbull C, Allin D, Ansar Z, Azeez Z, Dale VH, Garg J, Horner A, Jones S, Knight S, McGregor C, McKenna J, McLelland T, Packham-Smith A, Rowsell K, Spector-Hill I, Adeniken E, Baker J, Bartlett M, Chikomba L, Connell B, Deekonda P, Dhar M, Elmansouri A, Gamage K, Goodhew R, Hanna P, Knight J, Luca A, Maasoumi N, Mahamoud F, Manji S, Marwaha PK, Mason F, Oluboyede A, Pigott L, Razaq AM, Richardson M, Saddaoui I, Wijeyendram P, Yau S, Atkins W, Liang K, Miles N, Praveen B, Ashai S, Braganza J, Common J, Cundy A, Davies R, Guthrie J, Handa I, Iqbal M, Ismail R, Jones C, Jones I, Lee KS, Levene A, Okocha M, Olivier J, Smith A, Subramaniam E, Tandle S, Wang A, Watson A, Wilson C, Chan XHF, Khoo E, Montgomery C, Norris M, Pugalenthi PP, Common T, Cook E, Mistry H, Shinmar HS, Agarwal G, Bandyopadhyay S, Brazier B, Carroll L, Goede A, Harbourne A, Lakhani A, Lami M, Larwood J, Martin J, Merchant J, Pattenden S, Pradhan A, Raafat N, Rothwell E, Shammoon Y, Sudarshan R, Vickers E, Wingfield L, Ashworth I, Azizi S, Bhate R, Chowdhury T, Christou A, Davies L, Dwaraknath M, Farah Y, Garner J, Gureviciute E, Hart E, Jain A, Javid S, Kankam HK, Kaur Toor P, Kaz R, Kermali M, Khan I, Mattson A, McManus A, Murphy M, Nair K, Ngemoh D, Norton E, Olabiran A, Parry L, Payne T, Pillai K, Price S, Punjabi K, Raghunathan A, Ramwell A, Raza M, Ritehnia J, Simpson G, Smith W, Sodeinde S, Studd L, Subramaniam M, Thomas J, Towey S, Tsang E, Tuteja D, Vasani J, Vio M, Badran A, Adams J, Anthony Wilkinson J, Asvandi S, Austin T, Bald A, Bix E, Carrick M, Chander B, Chowdhury S, Cooper Drake B, Crosbie S, D Portela S, Francis D, Gallagher C, Gillespie R, Gravett H, Gupta P, Ilyas C, James G, Johny J, Jones A, Kinder F, MacLeod C, Macrow C, Maqsood-Shah A, Mather J, McCann L, McMahon R, Mitham E, Mohamed M, Munton E, Nightingale K, O'Neill K, Onyemuchara I, Senior R, Shanahan A, Sherlock J, Spyridoulias A, Stavrou C, Stokes D, Tamang R, Taylor E, Trafford C, Uden C, Waddington C, Yassin D, Zaman M, Bangi S, Cheng T, Chew D, Hussain N, Imani-Masouleh S, Mahasivam G, McKnight G, Ng HL, Ota HC, Pasha T, Ravindran W, Shah K, Vishnu K S, Zaman S, Carr W, Cope S, Eagles EJ, Howarth-Maddison M, Li CY, Reed J, Ridge A, Stubbs T, Teasdaled D, Umar R, Worthington J, Dhebri A, Kalenderov R, Alattas A, Arain Z, Bhudia R, Chia D, Daniel S, Dar T, Garland H, Girish M, Hampson A, Kyriacou H, Lehovsky K, Mullins W, Omorphos N, Vasdev N, Venkatesh A, Waldock W, Bhandari A, Brown G, Choa G, Eichenauer CE, Ezennia K, Kidwai Z, Lloyd-Thomas A, Macaskill Stewart A, Massardi C, Sinclair E, Skajaa N, Smith M, Tan I, Afsheen N, Anuar A, Azam Z, Bhatia P, Davies-kelly N, Dickinson S, Elkawafi M, Ganapathy M, Gupta S, Khoury EG, Licudi D, Mehta V, Neequaye S, Nita G, Tay VL, Zhao S, Botsa E, Cuthbert H, Elliott J, Furlepa M, Lehmann J, Mangtani A, Narayan A, Nazarian S, Parmar C, Shah D, Shaw C, Zhao Z, Beck C, Caldwell S, Clements JM, French B, Kenny R, Kirk S, Lindsay J, McClung A, McLaughlin N, Watson S, Whiteside E, Alyacoubi S, Arumugam V, Beg R, Dawas K, Garg S, Lloyd ER, Mahfouz Y, Manobharath N, Moonesinghe R, Morka N, Patel K, Prashar J, Yip S, Adeeko ES, Ajekigbe F, Bhat A, Evans C, Farrugia A, Gurung C, Long T, Malik B, Manirajan S, Newport D, Rayer J, Ridha A, Ross E, Saran T, Sinker A, Waruingi D, Allen R, Al Sadek Y, Alves do Canto Brum H, Asharaf H, Ashman M, Balakumar V, Barrington J, Baskaran R, Berry A, Bhachoo H, Bilal A, Boaden L, Chia WL, Covell G, Crook D, Dadnam F, Davis L, De Berker H, Doyle C, Fox C, Gruffydd-Davies M, Hafouda Y, Hill A, Hubbard E, Hunter A, Inpadhas V, Jamshaid M, Jandu G, Jeyanthi M, Jones T, Kantor C, Kwak SY, Malik N, Matt R, McNulty P, Miles C, Mohomed A, Myat P, Niharika J, Nixon A, O'Reilly D, Parmar K, Pengelly S, Price L, Ramsden M, Turnor R, Wales E, Waring H, Wu M, Yang T, Ye TTS, Zander A, Zeicu C, Bellam S, Francombe J, Kawamoto N, Rahman MR, Sathyanarayana A, Tang HT, Cheung J, Hollingshead J, Page V, Sugarman J, Wong E, Chiong J, Fung E, Kan SY, Kiang J, Kok J, Krahelski O, Liew MY, Lyell B, Sharif Z, Speake D, Alim L, Amakye NY, Chandrasekaran J, Chandratreya N, Drake J, Owoso T, Thu YM, Abou El Ela Bourquin B, Alberts J, Chapman D, Rehnnuma N, Ainsworth K, Carpenter H, Emmanuel T, Fisher T, Gabrel M, Guan Z, Hollows S, Hotouras A, Ip Fung Chun N, Jaffer S, Kallikas G, Kennedy N, Lewinsohn B, Liu FY, Mohammed S, Rutherfurd A, Situ T, Stammer A, Taylor F, Thin N, Urgesi E, Zhang N, Ahmad MA, Bishop A, Bowes A, Dixit A, Glasson R, Hatta S, Hatt K, Larcombe S, Preece J, Riordan E, Fegredo D, Haq MZ, Li C, McCann G, Stewart D, Baraza W, Bhullar D, Burt G, Coyle J, Deans J, Devine A, Hird R, Ikotun O, Manchip G, Ross C, Storey L, Tan WWL, Tse C, Warner C, Whitehead M, Wu F, Court EL, Crisp E, Huttman M, Mayes F, Robertson H, Rosen H, Sandberg C, Smith H, Al Bakry M, Ashwell W, Bajaj S, Bandyopadhyay D, Browlee O, Burway S, Chand CP, Elsayeh K, Elsharkawi A, Evans E, Ferrin S, Fort-Schaale A, Iacob M, I K, Impelliziere Licastro G, Mankoo AS, Olaniyan T, Otun J, Pereira R, Reddy R, Saeed D, Simmonds O, Singhal G, Tron K, Wickstone C, Williams R, Bradshaw E, De Kock Jewell V, Houlden C, Knight C, Metezai H, Mirza-Davies A, Seymour Z, Spink D, Wischhusen S. Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study. Lancet Digit Health 2022; 4:e520-e531. [PMID: 35750401 DOI: 10.1016/s2589-7500(22)00069-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 01/07/2022] [Accepted: 04/06/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications. METHODS We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC). FINDINGS In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]). INTERPRETATION In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required. FUNDING British Journal of Surgery Society.
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Elsessy S, Khalil M. Relation between Vitamin D level and severity, symptomatology and cognitive dysfunction of Major Depressive Disorder - A sample of Egyptian patients. Eur Psychiatry 2022. [PMCID: PMC9565365 DOI: 10.1192/j.eurpsy.2022.1419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction
Vitamin D helps in the regulation of neurotransmission and neuroprotection. Therefore, vitamin D deficiency might lead to inactivated receptors and may result in depression.
Objectives
The study assessed the relation between serum level of vitamin D and severity, symptomatology and cognitive dysfunction of Major Depressive Disorder (MDD) in a sample of Egyptian patients.
Methods
Serum levels of 25-hydroxy vitamin D were measured with electro-chemiluminescence binding assay technique in 75 patients with major depressive disorder. Patients were recruited from Psychiatry and Addiction Hospital, Kasr Al Ainy outpatient clinic. Patients were subjected to the Structured Clinical Interview for DSM-IV Axis I Disorders(SCID), Hamilton depression scale (HAM-D), Mini-mental status examination (MMSE), Wechsler memory subtests (story A and paired associate learning test (PALT) ), Benton visual retention test (BVRT) and Trail B test.
Results
94.6% of patients had vitamin D deficiency. There was no significant correlation between levels of vitamin D and severity of depression according to HAM-D. Regarding symptoms of depression, there was a statistically significant difference between levels of vitamin D, being more deficient with decreased concentration, decreased libido and menstrual disturbances. There was no statistically significant correlation between level of vitamin D and cognitive functions tests.
Conclusions
Major depressive disorder was associated with vitamin D deficiency but no statistical significant correlation could be established neither between levels of vitamin D and severity of depression nor between levels of vitamin D and cognitive dysfunction. Vitamin D level was statistically correlated with decreased concentration, decreased libido and menstrual disturbances.
Disclosure
No significant relationships.
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Ali I, Zakaria E, Khalil M, El-Tantawy A, El-Saied F. Synthesis of ion-imprinted polymers based on chitosan for high selectivity of La(III), Ce(III) and Sm(III) via solid phase extraction. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Elsorougy M, Khalil M, Abd El-Rahim S, Yacout M. Technical and Economic Assessment of Cattle Herds of some Experimental Research Stations in Egypt. Journal of Animal and Poultry Production 2022; 13:57-62. [DOI: 10.21608/jappmu.2022.140578.1039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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Magyar M, Gattringer T, Enzinger C, Hassler E, Partl R, Khalil M, Reishofer G, Deutschmann H, Fazekas F. Incidence of Developmental Venous Anomalies in Patients With Multiple Sclerosis: A 3 Tesla MRI Study. Front Neurol 2022; 13:824347. [PMID: 35422748 PMCID: PMC9004542 DOI: 10.3389/fneur.2022.824347] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 02/10/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives There is evidence of involvement of the venous system in multiple sclerosis (MS). If this bears also an association with the frequency and extent of developmental venous anomalies (DVA) still has to be determined. We therefore investigated this in patients with different phenotypes of MS and in comparison, to a control population. Methods We analyzed the contrast-enhanced T1-weighted MR scans of 431 patients (clinically isolated syndrome—CIS, n = 108; MS, n = 323) and of 162 control individuals for the presence of a DVA. We also measured the size of the DVA and draining vein and compared the DVA frequency between MS phenotypes. Results A DVA was found in 38 (8.8 %) of patients with CIS or MS and in 11 (6.8%) controls (p = 0.4). DVA frequency was highest in CIS (14.8%) and lowest in progressive MS (4.0%). The mean cranio-caudal and axial extension of the DVA was significantly lower in MS patients than controls (p < 0.05). Conclusions The frequency of DVA in MS patients is comparable to that in controls. Whether DVA size and appearance may change over time will have to be investigated in a longitudinal manner and with larger sample size.
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Affiliation(s)
- Marton Magyar
- Department of Radiology (Division of Neuroradiology, Vascular and Interventional Radiology), Medical University of Graz, Graz, Austria
| | - Thomas Gattringer
- Department of Radiology (Division of Neuroradiology, Vascular and Interventional Radiology), Medical University of Graz, Graz, Austria.,Department of Neurology, Medical University of Graz, Graz, Austria
| | - Christian Enzinger
- Department of Radiology (Division of Neuroradiology, Vascular and Interventional Radiology), Medical University of Graz, Graz, Austria.,Department of Neurology, Medical University of Graz, Graz, Austria
| | - Eva Hassler
- Department of Radiology (Division of Neuroradiology, Vascular and Interventional Radiology), Medical University of Graz, Graz, Austria
| | - Richard Partl
- Department of Radiation Oncology, Medical University of Graz, Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Gernot Reishofer
- Department of Radiology (Division of Neuroradiology, Vascular and Interventional Radiology), Medical University of Graz, Graz, Austria
| | - Hannes Deutschmann
- Department of Radiology (Division of Neuroradiology, Vascular and Interventional Radiology), Medical University of Graz, Graz, Austria
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
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Khalil M, Acharya M, Kamel M, Davis R, Machado B, Raheem O. Perioperative Morbidity of Penile Prosthesis Placement with Concurrent Surgery: Analysis of the National Surgical Quality Improvement Program Database. J Sex Med 2022. [DOI: 10.1016/j.jsxm.2022.01.392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Oechtering J, Lincke T, Schaedelin S, Décard BF, Maceski A, Orleth A, Meier S, Willemse E, Buchmann A, Khalil M, Derfuss T, Benkert P, Heijnen I, Regeniter A, Müller S, Achtnichts L, Lalive P, Salmen A, Pot C, Gobbi C, Kappos L, Granziera C, Leppert D, Schlaeger R, Lieb JM, Kuhle J. Intrathecal IgM synthesis is associated with spinal cord manifestation and neuronal injury in early MS. Ann Neurol 2022; 91:814-820. [PMID: 35293622 PMCID: PMC9320956 DOI: 10.1002/ana.26348] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/31/2022] [Accepted: 03/07/2022] [Indexed: 11/16/2022]
Abstract
Objective Intrathecal Immunoglobulin M synthesis (IgMIntrathecal Fraction (IF)+) and spinal MRI lesions are both strong independent predictors of higher disease activity and severity in multiple sclerosis (MS). We investigated whether IgMIF+ is associated with spinal cord manifestation and higher neuroaxonal damage in early MS. Methods In 122 patients with a first demyelinating event associations between (1) spinal versus (vs) non‐spinal clinical syndrome (2) spinal vs cerebral T2‐weighted (T2w) and (3) contrast‐enhancing (CE) lesion counts with IgGIF+ (vs IgGIF−) or IgMIF+ (vs IgMIF−) were investigated by logistic regression adjusted for age and sex, respectively. For serum neurofilament light chain (sNfL) analysis patients were categorized for presence or absence of oligoclonal IgG bands (OCGB), IgGIF and IgMIF (>0% vs 0%, respectively): (1) OCGB−/IgGIF−/IgMIF−; (2) OCGB+/IgGIF−/IgMIF−; (3) OCGB+/IgGIF+/IgMIF−; and (4) OCGB+/IgGIF+/IgMIF+. Associations between categories 2 to 4 vs category 1 with sNfL concentrations were analyzed by robust linear regression, adjusted for sex and MRI parameters. Results Patients with a spinal syndrome had a 8.36‐fold higher odds of IgMIF+ (95%CI 3.03–23.03; p < 0.01). Each spinal T2w lesion (odds Ratio 1.39; 1.02–1.90; p = 0.037) and CE lesion (OR 2.73; 1.22–6.09; p = 0.014) was associated with an increased risk of IgMIF+ (but not of IgGIF+); this was not the case for cerebral lesions. OCGB+/IgGIF+/IgMIF+ category patients showed highest sNfL levels (estimate:1.80; 0.55–3.06; p < 0.01). Interpretation Intrathecal IgM synthesis is strongly associated with spinal manifestation and independently more pronounced neuroaxonal injury in early MS, suggesting a distinct clinical phenotype and pathophysiology. ANN NEUROL 2022;91:814–820
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Affiliation(s)
- Johanna Oechtering
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Therese Lincke
- Division of Neuroradiology, Department of Radiology, University Hospital Basel, University of Basel, Switzerland
| | - Sabine Schaedelin
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland.,Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Bernhard F Décard
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland
| | - Aleksandra Maceski
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Annette Orleth
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Stephanie Meier
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Eline Willemse
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Arabella Buchmann
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland.,Department of Neurology, Medical University of Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Austria
| | - Tobias Derfuss
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Pascal Benkert
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland.,Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ingmar Heijnen
- Division of Medical Immunology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | | | - Stefanie Müller
- Department of Neurology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Lutz Achtnichts
- Department of Neurology, Cantonal Hospital Aarau, Switzerland
| | - Patrice Lalive
- Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospital, Geneva, Switzerland.,Diagnostic Department, Division of Laboratory Medicine, Geneva University Hospital, Geneva, Switzerland.,Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Anke Salmen
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Caroline Pot
- Division of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Claudio Gobbi
- Neurocentre of Southern Switzerland, Multiple sclerosis centre, Ospedale Civico, Lugano, Switzerland
| | - Ludwig Kappos
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Cristina Granziera
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - David Leppert
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Regina Schlaeger
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Johanna M Lieb
- Division of Neuroradiology, Department of Radiology, University Hospital Basel, University of Basel, Switzerland
| | - Jens Kuhle
- Neurology Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
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Benkert P, Meier S, Schaedelin S, Manouchehrinia A, Yaldizli Ö, Maceski A, Oechtering J, Achtnichts L, Conen D, Derfuss T, Lalive PH, Mueller C, Müller S, Naegelin Y, Oksenberg JR, Pot C, Salmen A, Willemse E, Kockum I, Blennow K, Zetterberg H, Gobbi C, Kappos L, Wiendl H, Berger K, Sormani MP, Granziera C, Piehl F, Leppert D, Kuhle J, Aeschbacher S, Barakovic M, Buser A, Chan A, Disanto G, D'Souza M, Du Pasquier R, Findling O, Galbusera R, Hrusovsky K, Khalil M, Lorscheider J, Mathias A, Orleth A, Radue EW, Rahmanzadeh R, Sinnecker T, Subramaniam S, Vehoff J, Wellmann S, Wuerfel J, Zecca C. Serum neurofilament light chain for individual prognostication of disease activity in people with multiple sclerosis: a retrospective modelling and validation study. Lancet Neurol 2022; 21:246-257. [DOI: 10.1016/s1474-4422(22)00009-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 11/08/2021] [Accepted: 12/20/2021] [Indexed: 12/17/2022]
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Nicoll K, Lucocq J, Khalil T, Khalil M, Watson H, Patil P. Follow-up after emergency laparotomy suggests high one- and five-year mortality with risk stratified by ASA. Ann R Coll Surg Engl 2022; 104:202-209. [PMID: 34519559 PMCID: PMC9773906 DOI: 10.1308/rcsann.2021.0156] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION We investigated all-cause mortality following emergency laparotomy at 1 and 5 years. We aimed to establish a basis from which to advise patients and relatives on long-term mortality. METHODS Local data from a historical audit of emergency laparotomies from 2010 to 2012 were combined with National Emergency Laparotomy Audit (NELA) data from 2017 to 2020. Covariates collected included deprivation status, preoperative blood work, baseline renal function, age, American Society of Anesthesiologists (ASA) grade, operative time, anaesthetic time and gender. Associations between covariates and survival were determined using multivariate logistic regression and Kaplan-Meier analysis. We used patients undergoing laparoscopic cholecystectomy between 2015 and 2020 as controls. RESULTS ASA grade was the best discriminator of long-term outcome following laparotomy (n=894) but was not a predictor of survival following cholecystectomy (n=1,834), with mortality being significantly greater in the laparotomy group. Following cholecystectomy, 95% confidence intervals for survival at 5 years were 98-99%. Following laparotomy these intervals were: ASA grade 1, 79-96%; ASA grade 2, 69-82%; ASA grade 3, 44-58%; ASA grade 4, 33-48%; and ASA grade 5, 4-51%. The majority of deaths occurred after 30 days. CONCLUSIONS Emergency laparotomy is associated with a significantly increased risk of death in the following 5 years. The risk is strongly correlated to ASA grade. Thirty-day mortality estimation is not a good basis on which to advise patients and carers on long-term outcomes. ASA grade can be used to predict long-term outcomes and to guide patient counsel.
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Hechenberger S, Helmlinger B, Ropele S, Pirpamer L, Bachmaier G, Damulina A, Pichler A, Khalil M, Enzinger C, Pinter D. Information processing speed as a prognostic marker of physical impairment and progression in patients with multiple sclerosis. Mult Scler Relat Disord 2022; 57:103353. [PMID: 35158430 DOI: 10.1016/j.msard.2021.103353] [Citation(s) in RCA: 8] [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: 09/15/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Prediction of disability progression in patients with MS (pwMS) is challenging. So far, scarce evidence exists suggesting knowledge about how cognitive performance may potentially improve prediction of physical impairment and disability progression in MS. Therefore, we wanted to assess the prognostic value of cognitive performance regarding physical impairment and disability progression in pwMS. METHODS 85 patients (64% female; 60% relapse-remitting MS; mean age=36.78 ± 9.63 years) underwent clinical, neuropsychological (Brief Repeatable Battery for Neuropsychological Test (BRB-N)) and brain MRI (T1-weighted and T2-weighted FLAIR images) assessment at baseline and after an average of 7 years (SD=3.75) at follow-up. We assessed physical impairment and annualized disability progression (disability progression divided by follow-up duration) using the Expanded Disability Status Scale (EDSS). To compare patients with no or mild physical impairment (EDSS≤2.5) and patients with moderate to severe physical impairment (EDSS≥3.0), we used an EDSS score ≥3.0 as cut-off. Silent progression was defined by an EDSS worsening of at least 0.5 in the absence of relapses and inflammation in relapsing-remitting MS. RESULTS In hierarchical regression models (method "STEPWISE", forward) performance in information processing speed was a significant and independent predictor of physical impairment (EDSS≥3.0) at follow-up (model R²=0.671, b=-1.46, OR=0.23, p=0.001) and annualized disability progression (adjusted model R²=0.257, β=-0.26, 95% CI: -0.066, -0.008, p=0.012), in addition to demographics (age, education, individual follow-up time), clinical (EDSS, disease duration, clinical phenotype, annualized-relapse-rate) and MRI measures (brain volumes and T2-lesion load). In a MANCOVA controlled for age, disease duration and individual follow-up time, worse baseline performance in information processing speed was found in patients with higher EDSS at follow-up (m=-1.91, SD=1.18, p<0.001) and silent progression (m=-2.19, SD=1.01, p=0.038). CONCLUSION Performance in information processing speed might help to identify patients at risk for physical impairment. Therefore, neuropsychological assessment should be integrated in clinical standard care to support disease management in pwMS.
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Affiliation(s)
- Stefanie Hechenberger
- Medical University of Graz, Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Graz, Austria
| | - Birgit Helmlinger
- Medical University of Graz, Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Graz, Austria
| | - Stefan Ropele
- Medical University of Graz, Department of Neurology, Graz, Austria
| | - Lukas Pirpamer
- Medical University of Graz, Department of Neurology, Graz, Austria
| | - Gerhard Bachmaier
- Medical University of Graz, Institute for Medical Informatics, Statistics and Documentation, Graz, Austria
| | - Anna Damulina
- Medical University of Graz, Department of Neurology, Graz, Austria
| | | | - Michael Khalil
- Medical University of Graz, Department of Neurology, Graz, Austria
| | - Christian Enzinger
- Medical University of Graz, Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Graz, Austria; Medical University of Graz, Department of Neurology, Graz, Austria; Medical University of Graz, Division of Neuroradiology, Vascular And Interventional Radiology, Department of Radiology, Graz, Austria
| | - Daniela Pinter
- Medical University of Graz, Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Graz, Austria.
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yGonzalez MG, Khalil M, Mitschke T, Jung C, Kriebel T, Jux C. Is There a Role for Electrophysiological Studies for Risk Stratification in Asymptomatic Patients with Congenital Heart Disease Prior to Percutaneous Pulmonary Valve Implantation? Thorac Cardiovasc Surg 2022. [DOI: 10.1055/s-0042-1743028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
| | | | - T. Mitschke
- Hellmut-Harter- Str. 1, Kaiserslautern, Deutschland
| | - C. Jung
- Westpfalz Klinikum, Kaiserslautern, Deutschland
| | - T. Kriebel
- Hellmut-Harter- Str. 1, Kaiserslautern, Deutschland
| | - C. Jux
- Feulgenstr. 10-12, Gießen, Deutschland
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Latus H, Voges I, Blank AE, Gummel K, Reich B, Klingel K, Khalil M, Kerst G, Skrzypek S, Schranz D, Jux C. Fibrotic Myocardial Remodeling in Children and Adolescents after Cardiac Transplantation—A CMR Native T1 Mapping Study. Thorac Cardiovasc Surg 2022. [DOI: 10.1055/s-0042-1743039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- H. Latus
- Deutsches Herzzentrum München, München, Deutschland
| | - I. Voges
- Department of Pediatric Cardiology, Kiel, Deutschland
| | - A.-E. Blank
- Pediatric Heart Center, Giessen, Deutschland
| | - K. Gummel
- Pediatric Heart Center, Giessen, Deutschland
| | - B. Reich
- Deutsches Herzzentrum München, München, Deutschland
| | | | - M. Khalil
- Pediatric Heart Center, Giessen, Deutschland
| | - G. Kerst
- Department of Pediatric Cardiology, Aachen, Deutschland
| | - S. Skrzypek
- Pediatric Heart Center, Giessen, Deutschland
| | - D. Schranz
- Pediatric Heart Center, Giessen, Deutschland
| | - C. Jux
- Pediatric Heart Center, Giessen, Deutschland
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Khalil M, Blank AE, Kiplapinar N, Backhoff DJ, Heerich K, Jux C. PDA Stenting Using a 3.3 French System: A Further Step to Miniaturization. Thorac Cardiovasc Surg 2022. [DOI: 10.1055/s-0042-1742973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- M. Khalil
- Pediatric Heart Center, Giessen, Deutschland
| | - A.-E. Blank
- Pediatric Heart Center, Giessen, Deutschland
| | | | | | - K. Heerich
- Pediatric Heart Center, Giessen, Deutschland
| | - C. Jux
- Pediatric Heart Center, Giessen, Deutschland
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Yörüker U, Khalil M, Müller M, Kerst G, Esmaeili A, Jux C, Schranz D, Akintürk H. Nonsurgical Palliation for Hypoplastic Left Heart. Thorac Cardiovasc Surg 2022. [DOI: 10.1055/s-0042-1742801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- U. Yörüker
- Pediatric Heart Center, Giessen, Deutschland
| | - M. Khalil
- Pediatric Heart Center, Giessen, Deutschland
| | - M. Müller
- Pediatric Heart Center, Giessen, Deutschland
| | - G. Kerst
- Department of Pediatric Cardiology, University Hospital RWTH Aachen, Pauwelsstr. 30, Aachen, Deutschland
| | - A. Esmaeili
- Goethe University Frankfurt, Frankfurt, Deutschland
| | - C. Jux
- Pediatric Heart Center, Giessen, Deutschland
| | - D. Schranz
- Goethe University Frankfurt, Frankfurt, Deutschland
| | - H. Akintürk
- Pediatric Heart Center, Giessen, Deutschland
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Pareto D, Garcia-Vidal A, Groppa S, Gonzalez-Escamilla G, Rocca M, Filippi M, Enzinger C, Khalil M, Llufriu S, Tintoré M, Sastre-Garriga J, Rovira À. Prognosis of a second clinical event from baseline MRI in patients with a CIS: a multicenter study using a machine learning approach. Neuroradiology 2022; 64:1383-1390. [PMID: 35048162 DOI: 10.1007/s00234-021-02885-7] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/15/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE To predict the occurrence of a second clinical event in patients with a CIS suggestive of MS, from baseline magnetic resonance imaging (MRI), by means of a pattern recognition approach. METHODS Two hundred sixty-six patients with a CIS were recruited from four participating centers. Over a follow-up of 3 years, 130 patients had a second clinical episode and 136 did not. Grey matter and white matter T1-hypointensities masks segmented from 3D T1-weighted images acquired on 3 T scanners were used as features for the classification approach. Differences between CIS that remained CIS and those that developed a second event were assessed at a global level and at a regional level, arranging the regions according to their contribution to the classification model. RESULTS All classification metrics were around or even below 50% for both global and regional approaches. Accuracies did not change when T1-hypointensity maps were added to the model; just the specificity was increased up to 80%. Among the 30 regions with the largest contribution, 26 were grey matter and 4 were white matter regions. For grey matter, regions contributing showed either a larger or a smaller volume in the group of patients that remained CIS, compared to those with a second event. The volume of T1-hypointensities was always larger for the group that presented a second event. CONCLUSIONS Prediction of a second clinical event in CIS patients from baseline MRI seems to present a highly heterogeneous pattern, leading to very low classification accuracies. Adding the T1-hypointensity maps does not seem to improve the accuracy of the classification model.
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Affiliation(s)
- Deborah Pareto
- Department of Radiology (IDI), Neuroradiology Section, Hospital Universitari Vall d'Hebron and Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Aran Garcia-Vidal
- Department of Radiology (IDI), Neuroradiology Section, Hospital Universitari Vall d'Hebron and Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sergiu Groppa
- Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Gabriel Gonzalez-Escamilla
- Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Mara Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | | | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Sara Llufriu
- Center of Neuroimmunology, Advanced Imaging in Neuroimmunological Diseases (ImaginEM) Group, Hospital Clinic, IDIBAPS and Universitat de Barcelona, Barcelona, Spain
| | - Mar Tintoré
- Department of Neurology/Neuroimmunology, Multiple Sclerosis Center of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Department of Neurology/Neuroimmunology, Multiple Sclerosis Center of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Àlex Rovira
- Department of Radiology (IDI), Neuroradiology Section, Hospital Universitari Vall d'Hebron and Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
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Jarius S, Pache F, Körtvelyessy P, Jelčić I, Stettner M, Franciotta D, Keller E, Neumann B, Ringelstein M, Senel M, Regeniter A, Kalantzis R, Willms JF, Berthele A, Busch M, Capobianco M, Eisele A, Reichen I, Dersch R, Rauer S, Sandner K, Ayzenberg I, Gross CC, Hegen H, Khalil M, Kleiter I, Lenhard T, Haas J, Aktas O, Angstwurm K, Kleinschnitz C, Lewerenz J, Tumani H, Paul F, Stangel M, Ruprecht K, Wildemann B. Cerebrospinal fluid findings in COVID-19: a multicenter study of 150 lumbar punctures in 127 patients. J Neuroinflammation 2022; 19:19. [PMID: 35057809 PMCID: PMC8771621 DOI: 10.1186/s12974-021-02339-0] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 12/02/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Comprehensive data on the cerebrospinal fluid (CSF) profile in patients with COVID-19 and neurological involvement from large-scale multicenter studies are missing so far. OBJECTIVE To analyze systematically the CSF profile in COVID-19. METHODS Retrospective analysis of 150 lumbar punctures in 127 patients with PCR-proven COVID-19 and neurological symptoms seen at 17 European university centers RESULTS: The most frequent pathological finding was blood-CSF barrier (BCB) dysfunction (median QAlb 11.4 [6.72-50.8]), which was present in 58/116 (50%) samples from patients without pre-/coexisting CNS diseases (group I). QAlb remained elevated > 14d (47.6%) and even > 30d (55.6%) after neurological onset. CSF total protein was elevated in 54/118 (45.8%) samples (median 65.35 mg/dl [45.3-240.4]) and strongly correlated with QAlb. The CSF white cell count (WCC) was increased in 14/128 (11%) samples (mostly lympho-monocytic; median 10 cells/µl, > 100 in only 4). An albuminocytological dissociation (ACD) was found in 43/115 (37.4%) samples. CSF L-lactate was increased in 26/109 (24%; median 3.04 mmol/l [2.2-4]). CSF-IgG was elevated in 50/100 (50%), but was of peripheral origin, since QIgG was normal in almost all cases, as were QIgA and QIgM. In 58/103 samples (56%) pattern 4 oligoclonal bands (OCB) compatible with systemic inflammation were present, while CSF-restricted OCB were found in only 2/103 (1.9%). SARS-CoV-2-CSF-PCR was negative in 76/76 samples. Routine CSF findings were normal in 35%. Cytokine levels were frequently elevated in the CSF (often associated with BCB dysfunction) and serum, partly remaining positive at high levels for weeks/months (939 tests). Of note, a positive SARS-CoV-2-IgG-antibody index (AI) was found in 2/19 (10.5%) patients which was associated with unusually high WCC in both of them and a strongly increased interleukin-6 (IL-6) index in one (not tested in the other). Anti-neuronal/anti-glial autoantibodies were mostly absent in the CSF and serum (1509 tests). In samples from patients with pre-/coexisting CNS disorders (group II [N = 19]; including multiple sclerosis, JC-virus-associated immune reconstitution inflammatory syndrome, HSV/VZV encephalitis/meningitis, CNS lymphoma, anti-Yo syndrome, subarachnoid hemorrhage), CSF findings were mostly representative of the respective disease. CONCLUSIONS The CSF profile in COVID-19 with neurological symptoms is mainly characterized by BCB disruption in the absence of intrathecal inflammation, compatible with cerebrospinal endotheliopathy. Persistent BCB dysfunction and elevated cytokine levels may contribute to both acute symptoms and 'long COVID'. Direct infection of the CNS with SARS-CoV-2, if occurring at all, seems to be rare. Broad differential diagnostic considerations are recommended to avoid misinterpretation of treatable coexisting neurological disorders as complications of COVID-19.
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Affiliation(s)
- Sven Jarius
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - Florence Pache
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Peter Körtvelyessy
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE) in Magdeburg, Magdeburg, Germany
| | - Ilijas Jelčić
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Mark Stettner
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, University of Duisburg-Essen, Essen, Germany
| | | | - Emanuela Keller
- Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care, University Hospital and University of Zurich, Zurich, Switzerland
| | - Bernhard Neumann
- Department of Neurology, University of Regensburg, Regensburg, Germany
- Department of Neurology, DONAUISAR Klinikum Deggendorf, Deggendorf, Germany
| | - Marius Ringelstein
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Center for Neurology and Neuropsychiatry, LVR-Klinikum, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Makbule Senel
- Department of Neurology, Ulm University, Ulm, Germany
| | - Axel Regeniter
- Medica Medical Laboratories Dr. F. Kaeppeli AG, Zurich, Switzerland
| | - Rea Kalantzis
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jan F. Willms
- Institute of Intensive Care Medicine, University Hospital and University of Zurich, Zurich, Switzerland
| | - Achim Berthele
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Markus Busch
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Marco Capobianco
- Regional Referral Multiple Sclerosis Centre, Department of Neurology, University Hospital S. Luigi - Orbassano (I), Orbassano, Italy
| | - Amanda Eisele
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Ina Reichen
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Rick Dersch
- Clinic of Neurology and Neurophysiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Sebastian Rauer
- Clinic of Neurology and Neurophysiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Katharina Sandner
- Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Ilya Ayzenberg
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
- Department of Neurology, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Catharina C. Gross
- Department of Neurology with Institute of Translational Neurology, University and University Hospital Münster, Münster, Germany
| | - Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ingo Kleiter
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Thorsten Lenhard
- Neuroinfectiology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - Jürgen Haas
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - Orhan Aktas
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Klemens Angstwurm
- Department of Neurology, University of Regensburg, Regensburg, Germany
| | - Christoph Kleinschnitz
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, University of Duisburg-Essen, Essen, Germany
| | - Jan Lewerenz
- Department of Neurology, Ulm University, Ulm, Germany
| | - Hayrettin Tumani
- Department of Neurology, Ulm University, Ulm, Germany
- Specialty Hospital of Neurology Dietenbronn, Schwendi, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Berlin, Germany
| | - Martin Stangel
- Clinical Neuroimmunology and Neurochemistry, Department of Neurology, Hannover Medical School, Hanover, Germany
| | - Klemens Ruprecht
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Brigitte Wildemann
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - ; in cooperation with the German Society for Cerebrospinal Fluid Diagnostics and Clinical Neurochemistry
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE) in Magdeburg, Magdeburg, Germany
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University Hospital Zurich, Zurich, Switzerland
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, University of Duisburg-Essen, Essen, Germany
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care, University Hospital and University of Zurich, Zurich, Switzerland
- Department of Neurology, University of Regensburg, Regensburg, Germany
- Department of Neurology, DONAUISAR Klinikum Deggendorf, Deggendorf, Germany
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Center for Neurology and Neuropsychiatry, LVR-Klinikum, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Ulm University, Ulm, Germany
- Medica Medical Laboratories Dr. F. Kaeppeli AG, Zurich, Switzerland
- Institute of Intensive Care Medicine, University Hospital and University of Zurich, Zurich, Switzerland
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
- Regional Referral Multiple Sclerosis Centre, Department of Neurology, University Hospital S. Luigi - Orbassano (I), Orbassano, Italy
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
- Clinic of Neurology and Neurophysiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
- Department of Neurology, Sechenov First Moscow State Medical University, Moscow, Russia
- Department of Neurology with Institute of Translational Neurology, University and University Hospital Münster, Münster, Germany
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Department of Neurology, Medical University of Graz, Graz, Austria
- Neuroinfectiology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
- Specialty Hospital of Neurology Dietenbronn, Schwendi, Germany
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Berlin, Germany
- Clinical Neuroimmunology and Neurochemistry, Department of Neurology, Hannover Medical School, Hanover, Germany
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