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Wu J, Alfredsson L, Olsson T, Hillert JA, Hedström AK. Obesity Affects Disease Activity and Progression, Cognitive Functioning, and Quality of Life in People With Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2025; 12:e200334. [PMID: 39536290 PMCID: PMC11563565 DOI: 10.1212/nxi.0000000000200334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 09/26/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND AND OBJECTIVES While obesity is a known risk factor of the development of multiple sclerosis (MS), its impact on MS disease progression remains unclear. We aimed to investigate the influence of body mass index (BMI) on disease activity and progression, cognitive performance, and health-related quality of life in patients with MS. METHODS Patients from an incident population-based case-control study (n = 3,249) were categorized based on BMI status at diagnosis and followed up after diagnosis through the Swedish MS registry. Outcomes included changes in the Expanded Disability Status Scale (EDSS), Multiple Sclerosis Impact Scale 29, and Symbol Digit Modalities Test. The mean follow-up time was 10.6 years (SD 6.1). Linear mixed models were used to analyze long-term changes while Cox regression models assessed the risk of 24-week confirmed disability worsening, time to reach EDSS score 3 and EDSS score 4, the appearance of new lesions on MRI, patient-reported physical and psychological worsening, and processing speed worsening. RESULTS Obesity, compared with healthy weight, was associated with a 0.02-point faster annual increase in the EDSS score (β for EDSS score x time 0.02, 95% CI 0.00-0.04). In addition, obesity was linked to a higher risk of reaching EDSS score 3 (HR 1.43, 95% CI 1.17-1.75) and EDSS score 4 (HR 1.40, 95% CI 1.07-1.73) and an increased risk of physical and psychological worsening. New lesions on MRI were more frequent among those with overweight and obesity, compared with those with healthy weight (HR 1.21, 95% CI 1.02-1.44 and HR 1.29, 95% CI 1.03-1.62, respectively). Among those who had not changed BMI group during follow-up, the associations between obesity and unfavorable outcomes became more pronounced, and the HR of cognitive disability worsening was 1.51 (95% CI 1.09-2.09) among those with obesity, compared with nonobese participants. DISCUSSION In participants with MS, obesity was associated with faster disease progression, poorer health-related quality of life, and more rapid cognitive decline. Both overweight and obesity were associated with higher MRI activity.
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Affiliation(s)
- Jing Wu
- From the Aging Research Center (J.W.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; Institute of Environmental Medicine (L.A.), Karolinska Institutet; Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm; and Department of Clinical Neuroscience (L.A., T.O., J.A.H., A.K.H.), Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- From the Aging Research Center (J.W.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; Institute of Environmental Medicine (L.A.), Karolinska Institutet; Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm; and Department of Clinical Neuroscience (L.A., T.O., J.A.H., A.K.H.), Karolinska Institutet, Stockholm, Sweden
| | - Tomas Olsson
- From the Aging Research Center (J.W.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; Institute of Environmental Medicine (L.A.), Karolinska Institutet; Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm; and Department of Clinical Neuroscience (L.A., T.O., J.A.H., A.K.H.), Karolinska Institutet, Stockholm, Sweden
| | - Jan A Hillert
- From the Aging Research Center (J.W.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; Institute of Environmental Medicine (L.A.), Karolinska Institutet; Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm; and Department of Clinical Neuroscience (L.A., T.O., J.A.H., A.K.H.), Karolinska Institutet, Stockholm, Sweden
| | - Anna Karin Hedström
- From the Aging Research Center (J.W.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; Institute of Environmental Medicine (L.A.), Karolinska Institutet; Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm; and Department of Clinical Neuroscience (L.A., T.O., J.A.H., A.K.H.), Karolinska Institutet, Stockholm, Sweden
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2
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Perdaens O, van Pesch V. Should We Consider Neurodegeneration by Itself or in a Triangulation with Neuroinflammation and Demyelination? The Example of Multiple Sclerosis and Beyond. Int J Mol Sci 2024; 25:12637. [PMID: 39684351 PMCID: PMC11641818 DOI: 10.3390/ijms252312637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Revised: 11/20/2024] [Accepted: 11/20/2024] [Indexed: 12/18/2024] Open
Abstract
Neurodegeneration is preeminent in many neurological diseases, and still a major burden we fail to manage in patient's care. Its pathogenesis is complicated, intricate, and far from being completely understood. Taking multiple sclerosis as an example, we propose that neurodegeneration is neither a cause nor a consequence by itself. Mitochondrial dysfunction, leading to energy deficiency and ion imbalance, plays a key role in neurodegeneration, and is partly caused by the oxidative stress generated by microglia and astrocytes. Nodal and paranodal disruption, with or without myelin alteration, is further involved. Myelin loss exposes the axons directly to the inflammatory and oxidative environment. Moreover, oligodendrocytes provide a singular metabolic and trophic support to axons, but do not emerge unscathed from the pathological events, by primary myelin defects and cell apoptosis or secondary to neuroinflammation or axonal damage. Hereby, trophic failure might be an overlooked contributor to neurodegeneration. Thus, a complex interplay between neuroinflammation, demyelination, and neurodegeneration, wherein each is primarily and secondarily involved, might offer a more comprehensive understanding of the pathogenesis and help establishing novel therapeutic strategies for many neurological diseases and beyond.
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Affiliation(s)
- Océane Perdaens
- Neurochemistry Group, Institute of NeuroScience, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium;
| | - Vincent van Pesch
- Neurochemistry Group, Institute of NeuroScience, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium;
- Department of Neurology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium
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Filippi M, Preziosa P, Barkhof F, Ciccarelli O, Cossarizza A, De Stefano N, Gasperini C, Geraldes R, Granziera C, Haider L, Lassmann H, Margoni M, Pontillo G, Ropele S, Rovira À, Sastre-Garriga J, Yousry TA, Rocca MA. The ageing central nervous system in multiple sclerosis: the imaging perspective. Brain 2024; 147:3665-3680. [PMID: 39045667 PMCID: PMC11531849 DOI: 10.1093/brain/awae251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 06/10/2024] [Accepted: 06/23/2024] [Indexed: 07/25/2024] Open
Abstract
The interaction between ageing and multiple sclerosis is complex and carries significant implications for patient care. Managing multiple sclerosis effectively requires an understanding of how ageing and multiple sclerosis impact brain structure and function. Ageing inherently induces brain changes, including reduced plasticity, diminished grey matter volume, and ischaemic lesion accumulation. When combined with multiple sclerosis pathology, these age-related alterations may worsen clinical disability. Ageing may also influence the response of multiple sclerosis patients to therapies and/or their side effects, highlighting the importance of adjusted treatment considerations. MRI is highly sensitive to age- and multiple sclerosis-related processes. Accordingly, MRI can provide insights into the relationship between ageing and multiple sclerosis, enabling a better understanding of their pathophysiological interplay and informing treatment selection. This review summarizes current knowledge on the immunopathological and MRI aspects of ageing in the CNS in the context of multiple sclerosis. Starting from immunosenescence, ageing-related pathological mechanisms and specific features like enlarged Virchow-Robin spaces, this review then explores clinical aspects, including late-onset multiple sclerosis, the influence of age on diagnostic criteria, and comorbidity effects on imaging features. The role of MRI in understanding neurodegeneration, iron dynamics and myelin changes influenced by ageing and how MRI can contribute to defining treatment effects in ageing multiple sclerosis patients, are also discussed.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London WC1N 3BG, UK
| | - Olga Ciccarelli
- Queen Square MS Centre, UCL Institute of Neurology, UCL, London WC1N 3BG, UK
- NIHR (National Institute for Health and Care Research) UCLH (University College London Hospitals) BRC (Biomedical Research Centre), London WC1N 3BG, UK
| | - Andrea Cossarizza
- Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, 42121 Modena, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, 53100 Siena, Italy
| | - Claudio Gasperini
- Department of Neurosciences, S Camillo Forlanini Hospital Rome, 00152 Rome, Italy
| | - Ruth Geraldes
- Clinical Neurology, John Radcliffe Hospital, Oxford University Foundation Trust, Oxford OX3 9DU, UK
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
| | - Cristina Granziera
- Department of Neurology, University Hospital Basel and University of Basel, 4031 Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, 4031 Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, 4031 Basel, Switzerland
| | - Lukas Haider
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London WC1N 3BG, UK
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Hans Lassmann
- Center for Brain Research, Medical University of Vienna, 1090 Vienna, Austria
| | - Monica Margoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
| | - Giuseppe Pontillo
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London WC1N 3BG, UK
- Department of Advanced Biomedical Sciences, University “Federico II”, 80138 Naples, Italy
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, 8010 Graz, Austria
| | - Àlex Rovira
- Neuroradiology Section, Department of Radiology, Hospital Universitari Vall d'Hebron, 08035 Barcelona, Spain
| | - Jaume Sastre-Garriga
- Neurology Department and Multiple Sclerosis Centre of Catalunya (Cemcat), Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - Tarek A Yousry
- Lysholm Department of Neuroradiology, UCLH National Hospital for Neurology and Neurosurgery, Neuroradiological Academic Unit, UCL Institute of Neurology, London WC1N 3BG, UK
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Vita-Salute San Raffaele University, 20132 Milan, Italy
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Alzamanan F, Ding Y, Harroud A. Obesity and Multiple Sclerosis Severity: A Mendelian Randomization Study. Ann Neurol 2024. [PMID: 39431322 DOI: 10.1002/ana.27112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 08/16/2024] [Accepted: 10/02/2024] [Indexed: 10/22/2024]
Abstract
Obesity is implicated in the development of multiple sclerosis (MS), but its effect on disability is less well-established. This study examined the effects of various obesity measures on MS severity in 12,584 MS cases, using Mendelian randomization to mitigate confounding. Results showed a significant association between higher genetically-determined body mass index (N = 806,834) and increased MS severity (P = 0.02). This finding was supported by additional measures of general obesity but not adiposity distribution. The convergence of this genetic evidence with prior observational studies strengthens the association between obesity and adverse long-term disability in MS, suggesting weight management as a potential therapeutic strategy. ANN NEUROL 2024.
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Affiliation(s)
- Fatema Alzamanan
- The Neuro (Montreal Neurological Institute-Hospital), Montréal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, Quebec, Canada
| | - Yuan Ding
- The Neuro (Montreal Neurological Institute-Hospital), Montréal, Quebec, Canada
- Department of Human Genetics, McGill University, Montréal, Quebec, Canada
| | - Adil Harroud
- The Neuro (Montreal Neurological Institute-Hospital), Montréal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, Quebec, Canada
- Department of Human Genetics, McGill University, Montréal, Quebec, Canada
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Gouider R, Souissi A, Mrabet S, Gharbi A, Abida Y, Kacem I, Gargouri-Berrechid A. Environmental factors related to multiple sclerosis progression. J Neurol Sci 2024; 464:123161. [PMID: 39137699 DOI: 10.1016/j.jns.2024.123161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 07/29/2024] [Accepted: 07/29/2024] [Indexed: 08/15/2024]
Abstract
Multiple Sclerosis (MS) is a complex neurological disease which prevalence is increasing worldwide. The impact of environmental factors on MS susceptibility has already been defined and highlighted in many previous reports, particularly vitamin D or ultraviolet B light exposure, Epstein-Barr virus (EBV) infection, obesity, and smoking. There is increasing evidence that environmental and lifestyle factors are not only important in triggering MS but are also implicated in MS progression. Low sun exposure and vitamin D deficiency exhibit a strong relationship with disease progression in both animal and human studies. The gestational period seems also to impact long-term disease progression as January's babies had a higher risk of requiring walking assistance than those born in other months. The implication of EBV in neurodegeneration and MS progression was also suggested even though its specific targets and mechanisms are still unclear. Cigarette smoking is correlated with faster clinical progression. The association of obesity and smoking seems to be associated with a faster progression and an increased rate of brain atrophy. Although the effect of air pollution on MS pathogenesis remains not fully understood, exposure to polluted air can stimulate several mechanisms that might contribute to MS severity. People with MS with active disease have an altered microbiota compared to patients in the remission phase. Cardiovascular comorbidities, epilepsy, and depression are also associated with a more severe disability accrual. Knowledge about MS modifiable risk factors of progression need to be incorporated into everyday clinical practice in order to ameliorate disease outcomes.
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Affiliation(s)
- Riadh Gouider
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia.
| | - Amira Souissi
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| | - Saloua Mrabet
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| | - Alya Gharbi
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| | - Youssef Abida
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| | - Imen Kacem
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| | - Amina Gargouri-Berrechid
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
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6
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Meyer-Arndt L, Brasanac J, Gamradt S, Bellmann-Strobl J, Maurer L, Mai K, Steward T, Spranger J, Schmitz-Hübsch T, Paul F, Gold SM, Weygandt M. Body mass, neuro-hormonal stress processing, and disease activity in lean to obese people with multiple sclerosis. J Neurol 2024; 271:1584-1598. [PMID: 38010499 DOI: 10.1007/s00415-023-12100-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 10/17/2023] [Accepted: 11/05/2023] [Indexed: 11/29/2023]
Abstract
Overweight and obesity can worsen disease activity in multiple sclerosis (MS). Although psychobiological stress processing is increasingly recognized as important obesity factor that is tightly connected to proinflammatory metabolic hormones and cytokines, its role for MS obesity remains unexplored. Consequently, we investigated the interplay between body mass index (BMI), neural stress processing (functional connectivity, FC), and immuno-hormonal stress parameters (salivary cortisol and T cell glucocorticoid [GC] sensitivity) in 57 people with MS (six obese, 19 over-, 28 normal-, and four underweight; 37 females, 46.4 ± 10.6 years) using an Arterial-Spin-Labeling MRI task comprising a rest and stress stage, along with quantitative PCR. Our findings revealed significant positive connections between BMI and MS disease activity (i.e., higher BMI was accompanied by higher relapse rate). BMI was positively linked to right supramarginal gyrus and anterior insula FC during rest and negatively to right superior parietal lobule and cerebellum FC during stress. BMI showed associations with GC functioning, with higher BMI associated with lower CD8+ FKBP4 expression and higher CD8+ FKBP5 expression on T cells. Finally, the expression of CD8+ FKBP4 positively correlated with the FC of right supramarginal gyrus and left superior parietal lobule during rest. Overall, our study provides evidence that body mass is tied to neuro-hormonal stress processing in people with MS. The observed pattern of associations between BMI, neural networks, and GC functioning suggests partial overlap between neuro-hormonal and neural-body mass networks. Ultimately, the study underscores the clinical importance of understanding multi-system crosstalk in MS obesity.
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Affiliation(s)
- Lil Meyer-Arndt
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117, Berlin, Germany
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
| | - Jelena Brasanac
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12203, Berlin, Germany
| | - Stefanie Gamradt
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12203, Berlin, Germany
| | - Judith Bellmann-Strobl
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
| | - Lukas Maurer
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Max Rubner Center for Cardiovascular-Metabolic-Renal Research, 10117, Berlin, Germany
- Berlin Institute of Health, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 13347, Berlin, Germany
| | - Knut Mai
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 13347, Berlin, Germany
| | - Trevor Steward
- Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Redmond Barry Building #817, Parkville, VIC, 3010, Australia
| | - Joachim Spranger
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Max Rubner Center for Cardiovascular-Metabolic-Renal Research, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 13347, Berlin, Germany
| | - Tanja Schmitz-Hübsch
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117, Berlin, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117, Berlin, Germany
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
| | - Stefan M Gold
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12203, Berlin, Germany
- Department of Psychosomatic Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
- Institute of Neuroimmunology and Multiple Sclerosis (INIMS), Center for Molecular Neurobiology Hamburg, Universitätsklinikum Hamburg-Eppendorf, 20251, Hamburg, Germany
| | - Martin Weygandt
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany.
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany.
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany.
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117, Berlin, Germany.
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7
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Ruggieri S, Ianniello A, Copetti M, Altieri M, Buscarinu MC, Centonze D, Cortese A, De Giglio L, Fantozzi R, Gasperini C, Grimaldi LME, Landi D, Marfia GA, Mirabella M, Nistri R, Nociti V, Oddo O, Romano S, Salemi G, Tortorella C, Pozzilli C, Petracca M. Treatment modifiers across different regimens of natalizumab treatment in MS: An Italian real-world experience. Neurotherapeutics 2024; 21:e00338. [PMID: 38413275 PMCID: PMC11070710 DOI: 10.1016/j.neurot.2024.e00338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 02/29/2024] Open
Abstract
Despite its widespread use in clinical practice, the effectiveness of natalizumab extended interval dosing (EID) adopted from treatment start across different treatment intervals and individual modifiers (body mass index - BMI) is still under-investigated. Here, seven-hundred and forty-five multiple sclerosis (MS) patients, exposed to natalizumab for 3.30 ± 1.34 years, were retrospectively enrolled in an observational multicenter study. After stratifying patients in EID or standard interval dosing (SID), we assessed differences in time to relapse, MRI activity and Expanded Disability Status Scale (EDSS) progression. The primary analysis was conducted on patients exposed to EID interval from 5 weeks and 1 day to 7 weeks, while a secondary analysis included also EID periods up to 8 weeks. An additional analysis explored the impact of BMI. No differences in time to first relapse, time to radiological activity, time to EDSS progression or time to EDA (evidence of disease activity) were detected between SID and EID group (EID interval from 5 weeks to 1 day to 7 weeks). When including EID periods from 7 weeks and 1 day to 8 weeks, the EID group showed a trend towards higher risk of experience clinical relapses than the SID group. A higher EDA risk was also identified in EID patients with BMI above median. In conclusion, a higher risk of relapses seems to occur for EID above 7 weeks. Independently from the EID scheme adopted, higher BMI increases the risk of EDA in these patients.
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Affiliation(s)
- Serena Ruggieri
- Department of Human Neurosciences, "Sapienza" University of Rome, Rome, Italy
| | - Antonio Ianniello
- Department of Human Neurosciences, "Sapienza" University of Rome, Rome, Italy
| | - Massimiliano Copetti
- Unit of Biostatistics, IRCCS - "Casa Sollievo della Sofferenza" - Hospital, San Giovanni Rotondo (FG), Italy
| | - Marta Altieri
- Department of Human Neurosciences, "Sapienza" University of Rome, Rome, Italy
| | - Maria Chiara Buscarinu
- Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), "Sapienza" University of Rome, Rome, Italy; Neurology Unit, S. Andrea University Hospital, Rome, Italy
| | - Diego Centonze
- IRCCS Neuromed, Pozzilli (IS), Italy; Department of Systems Medicine, Multiple Sclerosis Unit, University of Rome "Tor Vergata", Rome, Italy
| | - Antonio Cortese
- Multiple Sclerosis Center, Neurology Unit, San Filippo Neri Hospital, Rome, Italy
| | - Laura De Giglio
- Multiple Sclerosis Center, Neurology Unit, San Filippo Neri Hospital, Rome, Italy
| | | | - Claudio Gasperini
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Luigi M E Grimaldi
- Neurology and Multiple Sclerosis Center, Fondazione Instituto "G. Giglio", Cefalù, Italy
| | - Doriana Landi
- Department of Systems Medicine, Multiple Sclerosis Unit, University of Rome "Tor Vergata", Rome, Italy
| | - Girolama A Marfia
- Multiple Sclerosis Center, Neurology Unit, San Filippo Neri Hospital, Rome, Italy
| | - Massimiliano Mirabella
- Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Riccardo Nistri
- Department of Human Neurosciences, "Sapienza" University of Rome, Rome, Italy
| | - Viviana Nociti
- Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Oscar Oddo
- Neurology and Multiple Sclerosis Center, Fondazione Instituto "G. Giglio", Cefalù, Italy
| | - Silvia Romano
- Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), "Sapienza" University of Rome, Rome, Italy; Neurology Unit, S. Andrea University Hospital, Rome, Italy
| | - Giuseppe Salemi
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | - Carla Tortorella
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Carlo Pozzilli
- Department of Human Neurosciences, "Sapienza" University of Rome, Rome, Italy
| | - Maria Petracca
- Department of Human Neurosciences, "Sapienza" University of Rome, Rome, Italy.
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8
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Papetti L, Panella E, Monte G, Ferilli MAN, Tarantino S, Checchi MP, Valeriani M. Pediatric Onset Multiple Sclerosis and Obesity: Defining the Silhouette of Disease Features in Overweight Patients. Nutrients 2023; 15:4880. [PMID: 38068737 PMCID: PMC10707944 DOI: 10.3390/nu15234880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/13/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
Obesity has been suggested as an environmental risk factor for multiple sclerosis (MS) and may negatively effect the progression of the disease. The aim of this study is to determine any correlation between overweight/obesity and the clinical and neuroradiological features at the onset of pediatric onset multiple sclerosis (POMS). Were included patients referred to the POMS Unit of the Bambino Gesù Children's Hospital between June 2012 and June 2021. The diagnosis of MS with an onset of less than 18 years was required. For all included subjects, we considered for the analysis the following data at the onset of symptoms: general data (age, sex, functional system compromised by neurological signs, weight and height), brain and spinal magnetic resonance imaging (MRI), cerebrospinal fluid exams. We identified 55 pediatric cases of POMS and divided them into two groups according to the body mass index (BMI): 60% were healthy weight (HW) and 40% were overweight/obese (OW/O). OW/O patients experienced a two-year age difference in disease onset compared to the HW patients (12.7 ± 3.8 years vs. 14.6 ± 4.1 years; p < 0.05). Onset of polyfocal symptoms was seen more frequently in OW/O patients than in HW (72.7% vs. 21.2%; p < 0.05). The pyramidal functions were involved more frequently in the OW/O group than in the HW group (50% vs. 25%; p < 0.005). Black holes were detected more frequently in OW/O patients in onset MRI scans compared to the HW group (50% vs. 15.5%; p < 0.05). Our findings suggest that being overweight/obese affects the risk of developing MS at an earlier age and is associated with an unfavorable clinical-radiological features at onset. Weight control can be considered as a preventive/therapeutic treatment.
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Affiliation(s)
- Laura Papetti
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
| | - Elena Panella
- Child Neurology and Psychiatry Unit, Systems Medicine Department, Hospital of Rome, Tor Vergata University, 00133 Rome, Italy;
| | - Gabriele Monte
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
| | - Michela Ada Noris Ferilli
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
| | - Samuela Tarantino
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
| | - Martina Proietti Checchi
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
| | - Massimiliano Valeriani
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
- Center for Sensory Motor Interaction, Aalborg University, DK-9220 Aalborg, Denmark
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9
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Neto A, Fernandes A, Barateiro A. The complex relationship between obesity and neurodegenerative diseases: an updated review. Front Cell Neurosci 2023; 17:1294420. [PMID: 38026693 PMCID: PMC10665538 DOI: 10.3389/fncel.2023.1294420] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Obesity is a global epidemic, affecting roughly 30% of the world's population and predicted to rise. This disease results from genetic, behavioral, societal, and environmental factors, leading to excessive fat accumulation, due to insufficient energy expenditure. The adipose tissue, once seen as a simple storage depot, is now recognized as a complex organ with various functions, including hormone regulation and modulation of metabolism, inflammation, and homeostasis. Obesity is associated with a low-grade inflammatory state and has been linked to neurodegenerative diseases like multiple sclerosis (MS), Alzheimer's (AD), and Parkinson's (PD). Mechanistically, reduced adipose expandability leads to hypertrophic adipocytes, triggering inflammation, insulin and leptin resistance, blood-brain barrier disruption, altered brain metabolism, neuronal inflammation, brain atrophy, and cognitive decline. Obesity impacts neurodegenerative disorders through shared underlying mechanisms, underscoring its potential as a modifiable risk factor for these diseases. Nevertheless, further research is needed to fully grasp the intricate connections between obesity and neurodegeneration. Collaborative efforts in this field hold promise for innovative strategies to address this complex relationship and develop effective prevention and treatment methods, which also includes specific diets and physical activities, ultimately improving quality of life and health.
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Affiliation(s)
- Alexandre Neto
- Central Nervous System, Blood and Peripheral Inflammation, Research Institute for Medicines (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
| | - Adelaide Fernandes
- Central Nervous System, Blood and Peripheral Inflammation, Research Institute for Medicines (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
- Department of Pharmaceutical Sciences and Medicines, Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
| | - Andreia Barateiro
- Central Nervous System, Blood and Peripheral Inflammation, Research Institute for Medicines (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
- Department of Pharmaceutical Sciences and Medicines, Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
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10
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Almuklass AM, Gosty GT, Alotaibi EB, Alharbi BT, AlShayea RA, Aba Alkhail AB, Abaalkhail MB. Demographic and Clinical Predictors of Disease Severity in Patients With Multiple Sclerosis: A Retrospective Cross-Sectional Analysis. Cureus 2023; 15:e46873. [PMID: 37954739 PMCID: PMC10638286 DOI: 10.7759/cureus.46873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2023] [Indexed: 11/14/2023] Open
Abstract
OBJECTIVES Multiple sclerosis (MS) is a disease of the central nervous system (CNS). Several factors, including sex, body mass index (BMI), disease duration, and age of onset, have been identified as predictors of disease severity. This study investigated the association between the aforementioned factors and MS severity, measured by the number of hospital visits and admissions, length of stay, and frequency of methylprednisolone use. METHODS This retrospective cross-sectional analysis used data obtained from BESTCare at the King Abdulaziz Medical City (KAMC). A total of 272 patients with MS and their demographic and clinical characteristics were included. RESULTS The study population consisted of 68.75% (n = 187) females and 31.25% (n = 85) males. The regression analyses indicated that disease duration was a significant predictor of the number of hospital visits and admissions (p < 0.01). The study found a significant association between BMI (unstandardized beta (B) = -0.25, 95% confidence interval (CI) = -0.47, -0.02, p = 0.033), age at diagnosis (unstandardized beta (B) = 0.15, 95% CI = 0.001, 0.31, p = 0.048), and length of hospital stay. Additionally, there was a significant correlation between disease duration and the number of methylprednisolone doses (unstandardized beta (B) = 0.45, 95% CI = 0.01, 0.89, p = 0.045). CONCLUSION Disease duration was found to be a significant predictor of hospital visits, admissions, and methylprednisolone use, while sex and BMI did not contribute to the variation in these outcomes. However, BMI and age of onset were significantly associated with length of hospital stay.
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Affiliation(s)
- Awad M Almuklass
- Department of Basic Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences College of Medicine, Riyadh, SAU
- Department of Research, King Abdullah International Medical Research Center, Riyadh, SAU
| | - Ghidaa T Gosty
- Department of Basic Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences College of Medicine, Riyadh, SAU
| | - Eman B Alotaibi
- Department of Basic Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences College of Medicine, Riyadh, SAU
| | - Bushra T Alharbi
- Department of Basic Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences College of Medicine, Riyadh, SAU
| | - Reem A AlShayea
- Department of Basic Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences College of Medicine, Riyadh, SAU
| | - Ahmed B Aba Alkhail
- Department of Neurology, King Saud Bin Abdulaziz University for Health Sciences College of Medicine, Riyadh, SAU
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11
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Goldin K, Riemann-Lorenz K, Daubmann A, Pöttgen J, Krause N, Schröder H, Heesen C. Health behaviors of people with multiple sclerosis and its associations with MS related outcomes: a German clinical cohort. Front Neurol 2023; 14:1172419. [PMID: 37780722 PMCID: PMC10533928 DOI: 10.3389/fneur.2023.1172419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 08/28/2023] [Indexed: 10/03/2023] Open
Abstract
Background Health behaviors in persons with multiple sclerosis (pwMS) have been associated with MS-related disease outcomes. Objective The aim of the study was to gain knowledge about current patient health behaviors in a convenience sample representative for pwMS presenting to a large university-based outpatient clinic and to investigate associations between modifiable risk factors with physical impairment, quality of life (QoL) and cardiovascular comorbidities. Methods A questionnaire was administered at the MS Outpatient Clinic of the University Medical Center Hamburg Eppendorf asking for health behaviors regarding dietary habits assessed with the German adaptation of the validated Spanish short Diet Quality Screener (sDQS), level of physical activity assessed with the Godin Leisure Time Questionnaire (GLTEQ) and tobacco smoking. Participants were asked to report cardiovascular comorbidities using items from the Self-Report Comorbidity Questionnaire for Multiple Sclerosis. Additionally, cardiovascular risk factors like blood pressure, height and weight (to calculate BMI) and waist circumference were measured. MS specific clinical data, e.g., disease course, duration, disability and MS-specific QoL were collected from the clinical database. Descriptive analyses were performed and multivariate regression analyses for complete cases were carried out for each of the three outcome variables including all mentioned modifiable risk factors (dietary behavior, smoking, physical activity and BMI) as independent variables. Results In this sample of 399 pwMS the mean age was 42 years (SD 12.8) with a mean disease duration since diagnosis of 7.4 years (SD 8.4) and a mean EDSS of 2.8 (SD 1.9). 24% were current smokers, 44% were insufficiently physically active and 54% did not follow a healthy dietary pattern. 49% of this relatively young clinical population was overweight and 27% reported one or more cardiovascular comorbidities. Most modifiable risk factors showed no convincing associations with MS-related disease outcomes in the multiple regression analyses. Conclusion This clinical cohort of pwMS shows a high prevalence of critical health behaviors and comorbidities and emphasizes the need for monitoring, education and assistance for behavior change in this population.
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Affiliation(s)
- Katharina Goldin
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Karin Riemann-Lorenz
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anne Daubmann
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jana Pöttgen
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nicole Krause
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Helmut Schröder
- IMIM-Hospital del Mar Medical Research Institute, Barcelona, Spain
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain
| | - Christoph Heesen
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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12
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Williams T, John N, Calvi A, Bianchi A, De Angelis F, Doshi A, Wright S, Shatila M, Yiannakas MC, Chowdhury F, Stutters J, Ricciardi A, Prados F, MacManus D, Braisher M, Blackstone J, Ciccarelli O, Gandini Wheeler-Kingshott CAM, Barkhof F, Chataway J. Cardiovascular risk factors in secondary progressive multiple sclerosis: A cross-sectional analysis from the MS-STAT2 randomized controlled trial. Eur J Neurol 2023; 30:2769-2780. [PMID: 37318885 DOI: 10.1111/ene.15924] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/31/2023] [Accepted: 06/05/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND AND PURPOSE There is increasing evidence that cardiovascular risk (CVR) contributes to disability progression in multiple sclerosis (MS). CVR is particularly prevalent in secondary progressive MS (SPMS) and can be quantified through validated composite CVR scores. The aim was to examine the cross-sectional relationships between excess modifiable CVR, whole and regional brain atrophy on magnetic resonance imaging, and disability in patients with SPMS. METHODS Participants had SPMS, and data were collected at enrolment into the MS-STAT2 trial. Composite CVR scores were calculated using the QRISK3 software. Prematurely achieved CVR due to modifiable risk factors was expressed as QRISK3 premature CVR, derived through reference to the normative QRISK3 dataset and expressed in years. Associations were determined with multiple linear regressions. RESULTS For the 218 participants, mean age was 54 years and median Expanded Disability Status Scale was 6.0. Each additional year of prematurely achieved CVR was associated with a 2.7 mL (beta coefficient; 95% confidence interval 0.8-4.7; p = 0.006) smaller normalized whole brain volume. The strongest relationship was seen for the cortical grey matter (beta coefficient 1.6 mL per year; 95% confidence interval 0.5-2.7; p = 0.003), and associations were also found with poorer verbal working memory performance. Body mass index demonstrated the strongest relationships with normalized brain volumes, whilst serum lipid ratios demonstrated strong relationships with verbal and visuospatial working memory performance. CONCLUSIONS Prematurely achieved CVR is associated with lower normalized brain volumes in SPMS. Future longitudinal analyses of this clinical trial dataset will be important to determine whether CVR predicts future disease worsening.
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Affiliation(s)
- Thomas Williams
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Nevin John
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Department of Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Alberto Calvi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Alessia Bianchi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Floriana De Angelis
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, 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
| | - Anisha Doshi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Sarah Wright
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Madiha Shatila
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Marios C Yiannakas
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Fatima Chowdhury
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Jon Stutters
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Antonio Ricciardi
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Ferran Prados
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- Universitat Oberta de Catalunya, Barcelona, Spain
| | - David MacManus
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Marie Braisher
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - James Blackstone
- Comprehensive Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, 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
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, 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
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- Department of Radiology & Nuclear Medicine, VU University Medical Centre, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, 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
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13
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Locus for severity implicates CNS resilience in progression of multiple sclerosis. Nature 2023; 619:323-331. [PMID: 37380766 PMCID: PMC10602210 DOI: 10.1038/s41586-023-06250-x] [Citation(s) in RCA: 90] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 05/23/2023] [Indexed: 06/30/2023]
Abstract
Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS) that results in significant neurodegeneration in the majority of those affected and is a common cause of chronic neurological disability in young adults1,2. Here, to provide insight into the potential mechanisms involved in progression, we conducted a genome-wide association study of the age-related MS severity score in 12,584 cases and replicated our findings in a further 9,805 cases. We identified a significant association with rs10191329 in the DYSF-ZNF638 locus, the risk allele of which is associated with a shortening in the median time to requiring a walking aid of a median of 3.7 years in homozygous carriers and with increased brainstem and cortical pathology in brain tissue. We also identified suggestive association with rs149097173 in the DNM3-PIGC locus and significant heritability enrichment in CNS tissues. Mendelian randomization analyses suggested a potential protective role for higher educational attainment. In contrast to immune-driven susceptibility3, these findings suggest a key role for CNS resilience and potentially neurocognitive reserve in determining outcome in MS.
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Marrie RA, Fisk JD, Fitzgerald K, Kowalec K, Maxwell C, Rotstein D, Salter A, Tremlett H. Etiology, effects and management of comorbidities in multiple sclerosis: recent advances. Front Immunol 2023; 14:1197195. [PMID: 37325663 PMCID: PMC10266935 DOI: 10.3389/fimmu.2023.1197195] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/19/2023] [Indexed: 06/17/2023] Open
Abstract
Comorbid conditions commonly affect people with multiple sclerosis (MS). Population-based studies indicate that people with MS have an increased incidence of ischemic heart disease, cerebrovascular disease, peripheral vascular disease, and psychiatric disorders as compared to people without MS. People with MS from underrepresented minority and immigrant groups have higher comorbidity burdens. Comorbidities exert effects throughout the disease course, from symptom onset through diagnosis to the end of life. At the individual level, comorbidity is associated with higher relapse rates, greater physical and cognitive impairments, lower health-related quality of life, and increased mortality. At the level of the health system and society, comorbidity is associated with increased health care utilization, costs and work impairment. A nascent literature suggests that MS affects outcomes from comorbidities. Comorbidity management needs to be integrated into MS care, and this would be facilitated by determining optimal models of care.
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Affiliation(s)
- Ruth Ann Marrie
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - John D. Fisk
- Nova Scotia Health and the Departments of Psychiatry, Psychology & Neuroscience, and Medicine, Dalhousie University, Halifax, NS, Canada
| | - Kathryn Fitzgerald
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Kaarina Kowalec
- College of Pharmacy, University of Manitoba, Winnipeg, MB, Canada
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Colleen Maxwell
- Schools of Pharmacy and Public Health & Health Systems, University of Waterloo, Waterloo, ON, Canada
| | - Dalia Rotstein
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- St. Michael’s Hospital, Toronto, ON, Canada
| | - Amber Salter
- Department of Neurology, UT Southwestern, Dallas, TX, United States
| | - Helen Tremlett
- Department of Medicine (Neurology) and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
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Lutfullin I, Eveslage M, Bittner S, Antony G, Flaskamp M, Luessi F, Salmen A, Gisevius B, Klotz L, Korsukewitz C, Berthele A, Groppa S, Then Bergh F, Wildemann B, Bayas A, Tumani H, Meuth SG, Trebst C, Zettl UK, Paul F, Heesen C, Kuempfel T, Gold R, Hemmer B, Zipp F, Wiendl H, Lünemann JD. Association of obesity with disease outcome in multiple sclerosis. J Neurol Neurosurg Psychiatry 2023; 94:57-61. [PMID: 36319190 PMCID: PMC9763191 DOI: 10.1136/jnnp-2022-329685] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 09/23/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Obesity reportedly increases the risk for developing multiple sclerosis (MS), but little is known about its association with disability accumulation. METHODS This nationwide longitudinal cohort study included 1066 individuals with newly diagnosed MS from the German National MS cohort. Expanded Disability Status Scale (EDSS) scores, relapse rates, MRI findings and choice of immunotherapy were compared at baseline and at years 2, 4 and 6 between obese (body mass index, BMI ≥30 kg/m2) and non-obese (BMI <30 kg/m2) patients and correlated with individual BMI values. RESULTS Presence of obesity at disease onset was associated with higher disability at baseline and at 2, 4 and 6 years of follow-up (p<0.001). Median time to reach EDSS 3 was 0.99 years for patients with BMI ≥30 kg/m2 and 1.46 years for non-obese patients. Risk to reach EDSS 3 over 6 years was significantly increased in patients with BMI ≥30 kg/m2 compared with patients with BMI <30 kg/m2 after adjustment for sex, age, smoking (HR 1.87; 95% CI 1.3 to 2.6; log-rank test p<0.001) and independent of disease-modifying therapies. Obesity was not significantly associated with higher relapse rates, increased number of contrast-enhancing MRI lesions or higher MRI T2 lesion burden over 6 years of follow-up. CONCLUSIONS Obesity in newly diagnosed patients with MS is associated with higher disease severity and poorer outcome. Obesity management could improve clinical outcome of MS.
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Affiliation(s)
- Isabel Lutfullin
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Maria Eveslage
- Institute of Biostatistics and Clinical Research, University of Münster, Münster, 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, JGU, Mainz, Germany
| | - Gisela Antony
- Competence Network Parkinson's Disease, Central Information Office, Philipps-University Marburg, Marburg, Germany
| | - Martina Flaskamp
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, München, Germany
| | - Felix Luessi
- Department of Neurology, Focus Program Translational Neuroscience (FTN), and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University, JGU, Mainz, Germany
| | - Anke Salmen
- Department of Neurology, St Josef-Hospital, Ruhr-Universitat Bochum, Bochum, Germany.,Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Barbara Gisevius
- Department of Neurology, St Josef-Hospital, Ruhr-Universitat Bochum, Bochum, Germany
| | - Luisa Klotz
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Catharina Korsukewitz
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Achim Berthele
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, München, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN), and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University, JGU, Mainz, Germany
| | - Florian Then Bergh
- Clinic and Polyclinic for Neurology, University Hospital Leipzig, University Leipzig, UL, Leipzig, Germany
| | - Brigitte Wildemann
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Antonios Bayas
- Department of Neurology, Faculty of Medicine, University of Augsburg, 86156, Augsburg, Germany
| | | | - Sven G Meuth
- Department of Neurology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Corinna Trebst
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Uwe K Zettl
- Division of Neuroimmunology, Department of Neurology, University Medicine Rostock Center of Neurology, Rostock, Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, CHA, Berlin, Germany
| | - Christoph Heesen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, UKE, Hamburg, Germany
| | - Tania Kuempfel
- Institute for Clinical Neuroimmunology, University Hospital und Centre for Biomedicine, Ludwig-Maximilians-University Munich, Munchen, Germany
| | - Ralf Gold
- Department of Neurology, St Josef-Hospital, Ruhr-Universitat Bochum, Bochum, Germany
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, München, Germany.,Department of Neurology, Technische Universitat Munchen and Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN), and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University, JGU, Mainz, Germany
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster and University of Münster, Faculty of Medicine, Munster, Germany
| | - Jan D Lünemann
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster and University of Münster, Faculty of Medicine, Munster, Germany
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Long-term prognosis communication preferences in early-stage relapsing-remitting multiple sclerosis. Mult Scler Relat Disord 2022; 64:103969. [PMID: 35728432 DOI: 10.1016/j.msard.2022.103969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 05/23/2022] [Accepted: 06/13/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Multiple sclerosis is one of the most common causes of neurological disability in young adults with major consequences for their future lives. Improving communication strategies on prognosis may help patients deal with the disease and adjust their long-term life goals. However, there is limited information on patients' preferences of long-term prognosis (LTP) communication and associated factors. OBJECTIVE The aim of this study was to describe patients' preferences and assess the factors associated with LTP communication preferences in early-stage relapsing-remitting multiple sclerosis (RRMS) patients. METHODS A multicenter, non-interventional study was conducted. Adult patients with a diagnosis of RRMS, a disease duration from first attack ≤ 3 years, and an Expanded Disability Status Scale (EDSS) score of 0-5.5 were included. The Prognosis in MS questionnaire was used to assess how much patients want to know about their LTP. Different patient-reported measures were administered to gather information on symptom severity, pain, fatigue, mood/anxiety, quality of life, stigma, illness perception, feeling of hopelessness, self-efficacy, information avoidance and coping strategies. Cognition was assessed using the Symbol Digit Modalities Test (SDMT). A multivariate logistic regression analysis was performed to assess the association between LTP information preference and demographic and clinical characteristics, as well as patients' perspectives. RESULTS A total of 189 patients were included (mean age: 36.1 ± 9.4 years, 71.4% female, mean disease duration: 1.2 ± 0.8 years). Median EDSS score was 1.0 (IQR = 0.0-2.0). A proportion of 68.5% (n = 126) of patients had never discussed LTP with their neurologists, whereas 69.2% (n = 126) reported interest in knowing it (73.5% at diagnosis). Bivariate analyses suggested that patients were significantly more likely to have higher LTP information preferences if they were male and had a lower SDMT score. Male gender and a lower SDMT score were predictors of LTP information preferences. CONCLUSIONS Patients with early-stage RRMS want to discuss their LTP shortly after diagnosis. Understanding the factors involved may be useful to design individualized communication strategies.
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Duarte-Silva E, Meuth SG, Peixoto CA. Microbial Metabolites in Multiple Sclerosis: Implications for Pathogenesis and Treatment. Front Neurosci 2022; 16:885031. [PMID: 35573295 PMCID: PMC9096831 DOI: 10.3389/fnins.2022.885031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 04/05/2022] [Indexed: 12/18/2022] Open
Abstract
Metabolites produced by the gut microbiota have been shown to play an important role in numerous inflammatory, neuropsychiatric, and neurodegenerative diseases. Specifically, microbial metabolites have been implicated in the modulation of innate and adaptive immunity, especially in the generation of regulatory T cells (Tregs), which are key regulators of multiple sclerosis (MS) pathogenesis. Furthermore, they affect processes relevant to MS pathophysiology, such as inflammation and demyelination, which makes them attractive molecules to be explored as therapeutics in MS. In this review, we discuss the importance of these metabolites as factors contributing to disease pathogenesis and as therapeutic targets in MS. Establishing an improved understanding of these gut-microbiota derived metabolites may provide new avenues for the treatment of MS.
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Affiliation(s)
- Eduardo Duarte-Silva
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Recife, Brazil.,Postgraduate Program in Biosciences and Biotechnology for Health (PPGBBS), Oswaldo Cruz Foundation (FIOCRUZ-PE)/Aggeu Magalhães Institute (IAM), Recife, Brazil.,Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Recife, Brazil.,Department of Neurology, Medical Faculty, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Sven G Meuth
- Department of Neurology, Medical Faculty, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Christina Alves Peixoto
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Recife, Brazil.,National Institute of Science and Technology on Neuroimmunomodulation (INCT-NIM), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
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