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Gosetti di Sturmeck T, Malimpensa L, Ferrazzano G, Belvisi D, Leodori G, Lembo F, Brandi R, Pascale E, Cattaneo A, Salvetti M, Conte A, D’Onofrio M, Arisi I. Exploring miRNAs' Based Modeling Approach for Predicting PIRA in Multiple Sclerosis: A Comprehensive Analysis. Int J Mol Sci 2024; 25:6342. [PMID: 38928049 PMCID: PMC11203572 DOI: 10.3390/ijms25126342] [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: 05/08/2024] [Revised: 05/31/2024] [Accepted: 06/05/2024] [Indexed: 06/28/2024] Open
Abstract
The current hypothesis on the pathophysiology of multiple sclerosis (MS) suggests the involvement of both inflammatory and neurodegenerative mechanisms. Disease Modifying Therapies (DMTs) effectively decrease relapse rates, thus reducing relapse-associated disability in people with MS. In some patients, disability progression, however, is not solely linked to new lesions and clinical relapses but can manifest independently. Progression Independent of Relapse Activity (PIRA) significantly contributes to long-term disability, stressing the urge to unveil biomarkers to forecast disease progression. Twenty-five adult patients with relapsing-remitting multiple sclerosis (RRMS) were enrolled in a cohort study, according to the latest McDonald criteria, and tested before and after high-efficacy Disease Modifying Therapies (DMTs) (6-24 months). Through Agilent microarrays, we analyzed miRNA profiles from peripheral blood mononuclear cells. Multivariate logistic and linear models with interactions were generated. Robustness was assessed by randomization tests in R. A subset of miRNAs, correlated with PIRA, and the Expanded Disability Status Scale (EDSS), was selected. To refine the patient stratification connected to the disease trajectory, we computed a robust logistic classification model derived from baseline miRNA expression to predict PIRA status (AUC = 0.971). We built an optimal multilinear model by selecting four other miRNA predictors to describe EDSS changes compared to baseline. Multivariate modeling offers a promising avenue to uncover potential biomarkers essential for accurate prediction of disability progression in early MS stages. These models can provide valuable insights into developing personalized and effective treatment strategies.
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Affiliation(s)
- Tommaso Gosetti di Sturmeck
- European Brain Research Institute (EBRI) Rita Levi-Montalcini, 00161 Rome, Italy; (T.G.d.S.); (R.B.); (A.C.)
| | - Leonardo Malimpensa
- IRCCS Istituto Neurologico Mediterraneo Neuromed, 86077 Pozzilli, Italy; (L.M.); (D.B.); (G.L.); (M.S.); (A.C.)
| | - Gina Ferrazzano
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy; (G.F.); (F.L.)
| | - Daniele Belvisi
- IRCCS Istituto Neurologico Mediterraneo Neuromed, 86077 Pozzilli, Italy; (L.M.); (D.B.); (G.L.); (M.S.); (A.C.)
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy; (G.F.); (F.L.)
| | - Giorgio Leodori
- IRCCS Istituto Neurologico Mediterraneo Neuromed, 86077 Pozzilli, Italy; (L.M.); (D.B.); (G.L.); (M.S.); (A.C.)
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy; (G.F.); (F.L.)
| | - Flaminia Lembo
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy; (G.F.); (F.L.)
| | - Rossella Brandi
- European Brain Research Institute (EBRI) Rita Levi-Montalcini, 00161 Rome, Italy; (T.G.d.S.); (R.B.); (A.C.)
| | - Esterina Pascale
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04100 Latina, Italy;
| | - Antonino Cattaneo
- European Brain Research Institute (EBRI) Rita Levi-Montalcini, 00161 Rome, Italy; (T.G.d.S.); (R.B.); (A.C.)
- Bio@SNS Laboratory of Biology, Scuola Normale Superiore (SNS), 56126 Pisa, Italy
| | - Marco Salvetti
- IRCCS Istituto Neurologico Mediterraneo Neuromed, 86077 Pozzilli, Italy; (L.M.); (D.B.); (G.L.); (M.S.); (A.C.)
- Centre for Experimental Neurological Therapies (CENTERS), Department of Neurosciences, Mental Health and Sensory Organs, Sapienza University of Rome, 00189 Rome, Italy
| | - Antonella Conte
- IRCCS Istituto Neurologico Mediterraneo Neuromed, 86077 Pozzilli, Italy; (L.M.); (D.B.); (G.L.); (M.S.); (A.C.)
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy; (G.F.); (F.L.)
| | - Mara D’Onofrio
- European Brain Research Institute (EBRI) Rita Levi-Montalcini, 00161 Rome, Italy; (T.G.d.S.); (R.B.); (A.C.)
| | - Ivan Arisi
- European Brain Research Institute (EBRI) Rita Levi-Montalcini, 00161 Rome, Italy; (T.G.d.S.); (R.B.); (A.C.)
- Institute of Translational Pharmacology, National Research Council, 00133 Rome, Italy
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Müller J, Cagol A, Lorscheider J, Tsagkas C, Benkert P, Yaldizli Ö, Kuhle J, Derfuss T, Sormani MP, Thompson A, Granziera C, Kappos L. Harmonizing Definitions for Progression Independent of Relapse Activity in Multiple Sclerosis: A Systematic Review. JAMA Neurol 2023; 80:1232-1245. [PMID: 37782515 DOI: 10.1001/jamaneurol.2023.3331] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Importance Emerging evidence suggests that progression independent of relapse activity (PIRA) is a substantial contributor to long-term disability accumulation in relapsing-remitting multiple sclerosis (RRMS). To date, there is no uniform agreed-upon definition of PIRA, limiting the comparability of published studies. Objective To summarize the current evidence about PIRA based on a systematic review, to discuss the various terminologies used in the context of PIRA, and to propose a harmonized definition for PIRA for use in clinical practice and future trials. Evidence Review A literature search was conducted using the search terms multiple sclerosis, PIRA, progression independent of relapse activity, silent progression, and progression unrelated to relapses in PubMed, Embase, Cochrane, and Web of Science, published between January 1990 and December 2022. Findings Of 119 identified single records, 48 eligible studies were analyzed. PIRA was reported to occur in roughly 5% of all patients with RRMS per annum, causing at least 50% of all disability accrual events in typical RRMS. The proportion of PIRA vs relapse-associated worsening increased with age, longer disease duration, and, despite lower absolute event numbers, potent suppression of relapses by highly effective disease-modifying therapy. However, different studies used various definitions of PIRA, rendering the comparability of studies difficult. Conclusion and Relevance PIRA is the most frequent manifestation of disability accumulation across the full spectrum of traditional MS phenotypes, including clinically isolated syndrome and early RRMS. The harmonized definition suggested here may improve the comparability of results in current and future cohorts and data sets.
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Affiliation(s)
- Jannis Müller
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Alessandro Cagol
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Johannes Lorscheider
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Charidimos Tsagkas
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Pascal Benkert
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Özgür Yaldizli
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Jens Kuhle
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Tobias Derfuss
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Maria Pia Sormani
- Department of Health Sciences, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Alan Thompson
- Queen Square MS Centre, UCL Institute of Neurology, London, United Kingdom
- NIHR University College London Hospitals Biomedical Research Centre, London, United Kingdom
| | - Cristina Granziera
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Neurologic Clinic and Policlinic, Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
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Sharrad D, Chugh P, Slee M, Bacchi S. Defining progression independent of relapse activity (PIRA) in adult patients with relapsing multiple sclerosis: A systematic review ✰. Mult Scler Relat Disord 2023; 78:104899. [PMID: 37499338 DOI: 10.1016/j.msard.2023.104899] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 05/26/2023] [Accepted: 07/16/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Progression Independent of Relapse Activity (PIRA) is heterogeneously described in patients with multiple sclerosis (MS) regarding the frequency and nature of PIRA. This systematic review was conducted to characterise and define the elements of PIRA. METHOD This systematic review was conducted and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A systematic search was conducted of the databases Embase, Medline, Cochrane Central Register of Controlled Trials, Scopus, Web of Science, ClinicalTrials.gov and Google Scholar. RESULTS 5,812 studies were identified by the initial search. 13 studies satisfied the inclusion criteria and were included in the systematic review. PIRA definitions varied considerably between studies. In the context of these variable definitions, along with other methodological differences relating to disease modifying therapy (DMT) use and follow-up duration, the reported proportion of patients experiencing PIRA varied from 4% to 24%. CONCLUSIONS The currently available research supports the presence of PIRA in relapsing MS. Based on review of the existing literature, we propose a definition of PIRA that is clinically relevant and minimises confounding from inclusion of patients who have reached the secondary progressive phase of the disease.
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Affiliation(s)
- Dale Sharrad
- SA Health, Department of Neurology, Flinders Medical Centre, Bedford Park SA 5042, Australia; College of Medicine and Public Health, Flinders University of South Australia, Bedford Park SA 5042, Australia
| | - Pooja Chugh
- SA Health, Department of Neurology, Flinders Medical Centre, Bedford Park SA 5042, Australia; College of Medicine and Public Health, Flinders University of South Australia, Bedford Park SA 5042, Australia.
| | - Mark Slee
- SA Health, Department of Neurology, Flinders Medical Centre, Bedford Park SA 5042, Australia; College of Medicine and Public Health, Flinders University of South Australia, Bedford Park SA 5042, Australia
| | - Stephen Bacchi
- SA Health, Department of Neurology, Flinders Medical Centre, Bedford Park SA 5042, Australia; College of Medicine and Public Health, Flinders University of South Australia, Bedford Park SA 5042, Australia
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Tiu VE, Popescu BO, Enache II, Tiu C, Cherecheanu AP, Panea CA. Serum Neurofilaments and OCT Metrics Predict EDSS-Plus Score Progression in Early Relapse-Remitting Multiple Sclerosis. Biomedicines 2023; 11:biomedicines11020606. [PMID: 36831142 PMCID: PMC9953670 DOI: 10.3390/biomedicines11020606] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/09/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
(1) Background: Early disability accrual in RRMS patients is frequent and is associated with worse long-term prognosis. Correctly identifying the patients that present a high risk of early disability progression is of utmost importance, and may be aided by the use of predictive biomarkers. (2) Methods: We performed a prospective cohort study that included newly diagnosed RRMS patients, with a minimum follow-up period of one year. Biomarker samples were collected at baseline, 3-, 6- and 12-month follow-ups. Disability progression was measured using the EDSS-plus score. (3) Results: A logistic regression model based on baseline and 6-month follow-up sNfL z-scores, RNFL and GCL-IPL thickness and BREMSO score was statistically significant, with χ2(4) = 19.542, p < 0.0001, R2 = 0.791. The model correctly classified 89.1% of cases, with a sensitivity of 80%, a specificity of 93.5%, a positive predictive value of 85.7% and a negative predictive value of 90.62%. (4) Conclusions: Serum biomarkers (adjusted sNfL z-scores at baseline and 6 months) combined with OCT metrics (RNFL and GCL-IPL layer thickness) and the clinical score BREMSO can accurately predict early disability progression using the EDSS-plus score for newly diagnosed RRMS patients.
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Affiliation(s)
- Vlad Eugen Tiu
- Department of Clinical Neurosciences—Department 6 (Neurology)—“Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Neurology Department, Elias University Emergency Hospital, 011461 Bucharest, Romania
| | - Bogdan Ovidiu Popescu
- Department of Clinical Neurosciences—Department 6 (Neurology)—“Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Neurology Department, Colentina Clinical Hospital, 020125 Bucharest, Romania
- Correspondence:
| | - Iulian Ion Enache
- Department of Clinical Neurosciences—Department 6 (Neurology)—“Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Neurology Department, University Emergency Hospital of Bucharest, 050098 Bucharest, Romania
| | - Cristina Tiu
- Department of Clinical Neurosciences—Department 6 (Neurology)—“Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Neurology Department, University Emergency Hospital of Bucharest, 050098 Bucharest, Romania
| | - Alina Popa Cherecheanu
- Department of Clinical Neurosciences—Department 6 (Neurology)—“Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Ophtalmology Department, University Emergency Hospital of Bucharest, 050098 Bucharest, Romania
| | - Cristina Aura Panea
- Department of Clinical Neurosciences—Department 6 (Neurology)—“Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Neurology Department, Elias University Emergency Hospital, 011461 Bucharest, Romania
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Disease Activity and Progression in Multiple Sclerosis: New Evidences and Future Perspectives. J Clin Med 2022; 11:jcm11226643. [PMID: 36431119 PMCID: PMC9695838 DOI: 10.3390/jcm11226643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 11/07/2022] [Indexed: 11/11/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic, debilitating, autoimmune-mediated, inflammatory disease of the central nervous system (CNS), in which a combination of inflammation, demyelination and axonal degeneration takes place with extreme highly interpersonal variability [...].
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Hamdy E, Talaat F, Said SM, Ramadan I, Marouf H, Hamdy MM, Sadallah H, Ashmawi GAH, Elsalamawy D. Diagnosing ‘transition’ to secondary progressive multiple sclerosis (SPMS): A step-by-step approach for clinicians. Mult Scler Relat Disord 2022; 60:103718. [DOI: 10.1016/j.msard.2022.103718] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 02/13/2022] [Accepted: 02/27/2022] [Indexed: 11/29/2022]
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Sandi D, Fricska-Nagy Z, Bencsik K, Vécsei L. Neurodegeneration in Multiple Sclerosis: Symptoms of Silent Progression, Biomarkers and Neuroprotective Therapy-Kynurenines Are Important Players. Molecules 2021; 26:molecules26113423. [PMID: 34198750 PMCID: PMC8201043 DOI: 10.3390/molecules26113423] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 12/17/2022] Open
Abstract
Neurodegeneration is one of the driving forces behind the pathogenesis of multiple sclerosis (MS). Progression without activity, pathopsychological disturbances (cognitive impairment, depression, fatigue) and even optic neuropathy seems to be mainly routed in this mechanism. In this article, we aim to give a comprehensive review of the clinical aspects and symptomology, radiological and molecular markers and potential therapeutic targets of neurodegeneration in connection with MS. As the kynurenine pathway (KP) was evidenced to play an important role in the pathogenesis of other neurodegenerative conditions (even implied to have a causative role in some of these diseases) and more and more recent evidence suggest the same central role in the neurodegenerative processes of MS as well, we pay special attention to the KP. Metabolites of the pathway are researched as biomarkers of the disease and new, promising data arising from clinical evaluations show the possible therapeutic capability of KP metabolites as neuroprotective drugs in MS. Our conclusion is that the kynurenine pathway is a highly important route of research both for diagnostic and for therapeutic values and is expected to yield concrete results for everyday medicine in the future.
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Affiliation(s)
- Dániel Sandi
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
| | - Zsanett Fricska-Nagy
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
| | - Krisztina Bencsik
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
| | - László Vécsei
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
- MTA-SZTE Neuroscience Research Group, University of Szeged, H-6725 Szeged, Hungary
- Interdisciplinary Excellence Centre, University of Szeged, H-6725 Szeged, Hungary
- Correspondence: ; Tel.: +36-62-545-384; Fax: +36-62-545-597
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