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Introduction: Disease modifying treatments (DMTs) for multiple sclerosis (MS) are effective in preventing both relapses and disability progression. Highly effective treatments (HETs) are more effective than platform therapy in preventing confirmed disability progression (CDP), when used early. Infections may complicate HETs administration, and their prevention through vaccination is crucial in order to assure the safety of people with MS (pwMS). The aim of the present study is to describe the effect of MS DMTs on COVID-19 vaccination and the risk of breakthrough infection in a cohort of pwMS., Materials and Methods: This is a monocentric retrospective observational study conducted at the MS center of the Guglielmo da Saliceto Hospital in Piacenza, Italy. One hundred and fifty-seven (157) pwMS who received two doses of the SARS-CoV-2 vaccine (with 80.3 % receiving a booster dose) were included in the study., Results: fifty-six pwMS (35.7 %) were females, the mean age was 48.6 (SD: 12.87) years, and 59 (37.6 %) had at least one comorbidity. Twenty-five (15.9 %) breakthrough infections were observed, with 17 (68.0 %) classified as mild and 8 (32.0 %) as moderate. A multivariable linear regression model confirmed that B-cell suppressor DMTs and EDSS were factors associated with the latest antibody titre. Patients treated with B-cell suppressors exhibited a risk almost four times higher for breakthrough infections compared to other patients, with a hazard ratio (HR) of 3.72 (95 % CI: 1.50 - 9.27) (p = 0.005)., Conclusions: B-cell suppressor DMTs are associated with the risk of breakthrough COVID-19 in our cohort, but vaccination fully protected pwMS against severe breakthrough disease., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Paolo Immovilli reports a relationship with Roche that includes: speaking and lecture fees. Paolo Immovilli reports a relationship with Merck & Co Inc that includes: speaking and lecture fees. Paolo Immovilli reports a relationship with Sanofi that includes: speaking and lecture fees. Paolo Immovilli reports a relationship with Janssen Pharmaceuticals Inc that includes: speaking and lecture fees. Paolo Immovilli reports a relationship with Bristol Myers Squibb Co that includes: speaking and lecture fees. Paolo Immovilli reports a relationship with Novartis that includes: speaking and lecture fees. Paolo Immovilli reports a relationship with Alexion that includes: speaking and lecture fees. Irene Schiavetti reports a relationship with Biogen that includes: consulting or advisory. Irene Schiavetti reports a relationship with Roche that includes: consulting or advisory. Irene Schiavetti reports a relationship with Horizon Therapeutics USA Inc that includes: speaking and lecture fees. Irene Schiavetti reports a relationship with Novartis that includes: consulting or advisory. Irene Schiavetti reports a relationship with Hoya Corporation that includes: consulting or advisory. Irene Schiavetti reports a relationship with Hippocrates Research that includes: consulting or advisory. Irene Schiavetti reports a relationship with DMG Italia SRL that includes: consulting or advisory. Irene Schiavetti reports a relationship with Eyepharma that includes: consulting or advisory. Irene Schiavetti reports a relationship with DreamsLab that includes: consulting or advisory. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Clinicians are increasingly recognizing the importance of shared decision-making in complex treatment choices, highlighting the importance of the patient's rationale and motivation for switching therapies. This study aimed to evaluate the association between different modalities of changing multiple sclerosis (MS) treatments, cognitive profile and attitude and preferences of patients concerning treatment choice., Methods: This multicenter cross-sectional study was conducted at 28 Italian MS centers in the period between June 2016 and June 2017. We screened all MS patients treated with any DMT, with a treatment compliance of at least 80% of therapy administered during the 3 last months who needed to modify MS therapy because of efficacy, safety or other reasons during a follow-up visit. At the time of switching the symbol digit modalities test (SDMT) and the Control Preference Scale (CPS) were evaluated. According to the CPS, patients were classified as "active" (i.e. who prefer making the medical decision themselves), "collaborative" (i.e. who prefer decisions be made jointly with the physician), or "passive" (i.e. who prefer the physician make the decision)., Results: Out of 13,657 patients recorded in the log, 409 (3%) changed therapy. Of these, 336 (2.5%) patients, 69.6% were female and with mean age 40.6 ± 10.5 years, were enrolled. According to the CPS score evaluation, a significant high percentage of patients (51.1%) were considered collaborative, 74 patients (22.5%) were passive, and 60 (18.2%) patients were active. Stratifying according to CPS results, we found a higher SDMT score among collaborative patients compared to active and passive ones (45.8 ± 12.3 versus 41.0 ± 13.2 versus 41.7 ± 12.8, p < 0.05)., Conclusion: In this study, the CPS evaluation showed that more than 50% of patients who needed to change therapy chose a "collaborative" role in making treatment decision. Cognitive profile with SDMT seems to correlate with patients' preference on treatment decision, showing better scores in collaborative patients., Competing Interests: Declaration of Competing Interest Francesco Patti has received honoraria for speaking activities by Almirall, Bayer Schering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA; he also served as advisory board member the following companies: Bayer Schering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA; he was also funded by Pfizer and FISM for epidemiological studies; he received grants for congress participation from Almirall, Bayer Shering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. Clara G. Chisari has received grants for congress participation from Almirall, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. Simona Toscano declares no conflict of interest. Pietro Annovazzi has received honoraria for lecturing and participation in advisory boards, and/or travel expenses for attending congresses and meetings from Almirall, Biogen Idec, Merck Serono, Mylan, Novartis, Roche, Sanofi Genzyme, and TEVA. Paola Banfi has received support for attendance to scientific meetings from Biogen Idec, Merck Serono, Novartis, and Sanofi Genzyme. Roberto Bergamaschi has received honoraria for lectures, travel and registration coverage for attending several national or international congresses or symposia from Almirall, Bayer Shering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Aventis, Sanofi Genzyme, and TEVA. Raffaella Clerici has received speaker's honoraria, consulting fees, honoraria in advisory boards, support for attendance of scientific meetings from Meck Serono, Novartis, and Sanofi Genzyme. Marta Zaffira Conti declares there is no conflict of interest. Antonio Cortese has received speaker honoraria, travel grants, advisory boards member honoraria from Biogen Idec, Merck Serono, Novartis, Sanofi Genzyme, and TEVA. Roberta Fantozzi has received consulting fees and honoraria for advisory boards from Biogen Idec, Merck Serono, Novartis, Roche, and TEVA Diana Ferraro declares there is no conflict of interest. Mariano Fischetti declares there is no conflict of interest. Maura Frigo declares there is no conflict of interest. Maurizia Gatto declares there is no conflict of interest. Paolo Immovilli has received speaking honoraria, consulting fees, advisory board honoraria from Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. Stefania Leoni declares there is no conflict of interest. Simona Malucchi has received speaker's honoraria and consulting fees, honoraria in advisory boards from Biogen Idec, Merck Serono, Novartis, Sanofi Genzyme, and TEVA Giorgia Maniscalco has received honoraria for public speaking and advisory boards from Biogen, Novartis, and Merck Serono. Girolama Alessandra Marfia is an Advisory Board member of Biogen Idec, Sanofi Genzyme, Merck-Serono, Novartis, and TEVA, and received honoraria for speaking or consultation fees from Almirall, Bayer Schering, Biogen Idec, Merck Serono, Novartis, Sanofi-Genzyme, and TEVA. She is the principal investigator in clinical trials for Actelion, Biogen Idec, Merck Serono, Mitsubishi, Novartis, Roche, Sanofi-Genzyme, and TEVA Damiano Paolicelli has received honoraria for consultancy and/or speaking from Almirall, Bayer Shering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. Paola Perini has received speaker honoraria and consulting fees from Biogen, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. Carlo Serrati declares no conflict of interest. Rocco Totaro has received speaker's honoraria, consulting fee, honoraria for advisory boards, support for attendance of scientific meetings from Alfa Wasserman, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi genzyme, and TEVA. Gabriella Turano has received support for attendance to scientific meetings from Almirall, Biogen Idec, Merck Serono, Novartis, and Sanofi Genzyme. Paola Valentino has received speaker's honoraria and consulting fee, honoraria for advisory boards from Biogen Idec, Novartis, Merck Serono, Sanofi Genzyme, and TEVA. Mauro Zaffaroni has received honoraria for lecturing or participating for advisory boards or travel funding from Almirall, Biogen, Merck Serono, Novartis, Sanofi Genzyme, and TEVA. Cristina Zuliani has received speaker's honoraria and consulting fees, honoraria for advisory boards, support for attendance of scientific meetings from Almirall, Bayer Shering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. Diego Centonze is an Advisory Board member of Almirall, Bayer Schering, Biogen Idec, GW Pharmaceuticals, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA, and received honoraria for speaking or consultation fees from Almirall, Bayer Schering, Biogen, GW Pharmaceuticals, Merck Serono, Novartis, Roche, Sanofi-Genzyme, and TEVA. He is also the principal investigator in clinical trials for Bayer Schering, Biogen, Merck Serono, Mitsubishi, Novartis, Roche, Sanofi Genzyme, and TEVA. His preclinical and clinical research was supported by grants from Bayer Schering, Biogen Idec, Celgene, Merck Serono, Novartis, Roche, Sanofi Genzyme and TEVA., (Copyright © 2022. Published by Elsevier B.V.)

Background: Many studies investigated the association between air pollution and Covid-19 severity but the only study focusing on patients with Multiple Sclerosis (MS) exclusively evaluated exposure to PM2.5. We aim to study, in a sample of MS patients, the impact of long-term exposure to PM2.5, PM10 and NO2 on Covid-19 severity, described as occurrence of pneumonia., Methods: A 1:2 ratio case-control study was designed, differentiating cases and controls based on Covid-19 pneumonia. Associations between pollutants and outcome were studied using logistic regression. Weighted quantile sum (WQS) logistic regression was used to identify the individual contribution of each pollutant within the mixture; Least Absolute Shrinkage and Selection Operator (LASSO) penalized regression was performed to confirm the variable selection from WQS. All the analyses were adjusted for confounders selected a priori., Results: Of the 615 eligible patients, 491 patients provided detailed place of exposure and were included in the principal analysis. Higher concentrations of air pollutants were associated with increased odds of developing Covid-19 pneumonia (PM2.5: 3rd vs 1st tercile OR(95% CI)=2.26(1.29;3.96); PM10: 3rd vs 1st tercile OR(95% CI)=2.12(1.22;3.68); NO2: 3rd vs 1st tercile OR(95% CI)=2.12(1.21;3.69)). Pollutants were highly correlated with each other; WQS index was associated to an increased risk of pneumonia (β=0.44; p-value=0.004) and the main contributors to this association were NO2 (41%) and PM2.5 (34%). Consistently, Lasso method selected PM2.5 and NO2., Conclusions: Higher long-term exposure to PM2.5, PM10 and NO2 increased the odds of Covid-19 pneumonia among MS patients and the most dangerous pollutants were NO2 and PM2.5., Competing Interests: Declaration of Competing Interest Sormani MP received consulting fees from Roche, Biogen, Merck, Novartis, Sanofi, Celgene, Immunic, Geneuro, GSK, Medday; received payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing or educational events from Roche, Biogen Merck, Novartis, Sanofi, Celgene; participated on a Data Safety Monitoring Board or Advisory Board for Roche, Sanofi, Novartis, Merck. Caleri F received honoraria for lectures or presentation from Biogen, Merck, Teva, Novartis, Sanofi-Genzyme, Roche; received support for attending meeting and travel grant from Biogen, Merck, Teva, Novartis, Sanofi-Genzyme, Roche; received honoraria for participation on Advisory Boards from Biogen, Merck, Teva, Novartis, Sanofi-Genzyme, Roche. Cordioli C received grants or contracts from Roche, Novartis, Merck Serono, Biogen, Celgene; received consulting fees from Biogen. Inglese M received grants or contracts from FISM, INAIL, European Union. Salvetti M received grants or contracts from Biogen, Merck, Novartis; received payments or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing or educational events from Biogen, Merck, Novartis, Roche, Sanofi. R. Bergamaschi has served on scientific advisory boards for Biogen, Merck‐Serono, Novartis, Sanofi‐Genzyme; received research support from Almirall, Bayer, Biogen, Merck‐Serono, Novartis, Sanofi‐Genzyme; received support for travel and congress from Biogen, Roche, Merck‐Serono, Sanofi‐Genzyme, Teva; received honoraria for speaking engagements from Biogen, Merck‐Serono, Novartis, Sanofi‐Genzyme. M. Filippi is Editor‐in‐Chief of the Journal of Neurology, Associate Editor of Human Brain Mapping, Associate Editor of Radiology and Associate Editor of Neurological Sciences; received compensation for consulting services and/or speaking activities from Alexion, Almirall, Bayer, Biogen, Celgene, Eli Lilly, Genzyme, Merck‐Serono, Novartis, Roche, Sanofi, Takeda and Teva Pharmaceutical Industries; and receives research support from Biogen Idec, Merck‐Serono, Novartis, Roche, Teva Pharmaceutical Industries, Italian Ministry of Health, Fondazione Italiana Sclerosi Multipla and ARiSLA (Fondazione Italiana di Ricerca per la SLA). He received speaker honoraria from the following companies: Biogen, Merck, Novartis, Roche, Sanofi‐Genzyme and TEVA. M. Radaelli received speaker honoraria from Biogen Idec, Sanofi‐Genzyme, Novartis and Merck Serono and funding for travel to scientific meetings from Biogen Idec, Sanofi‐Genzyme, Novartis, Merck Serono, Teva and Roche. P. Immovilli reports personal fees from Roche, personal fees from Biogen, personal fees from Merck, outside the submitted work. V. Brescia Morra has received funding for travel, speaker honoraria, advisory board and research support from Merck Serono, Novartis, Biogen Idec, TEVA, Genzyme, Roche, Bayer, Almirall. G. Comi reports personal fees from Novartis, Teva Pharmaceutical Industries Ltd, Teva Italia Srl, Sanofi Genzyme, Genzyme Corporation, Genzyme Europe, Merck KGaA, Merck Serono SpA, Celgene Group, Biogen Idec, Biogen Italia Srl, F. Hoffman‐La Roche, Roche SpA, Almirall SpA, Forward Pharma, Medday, Excemed, outside the submitted work. F. Patti reports grants from Biogen, grants from Merck, grants from FISM, grants from Onlus association, grants from University of Catania, personal fees from Almirall, personal fees from Bayer, personal fees from Biogen, personal fees from Merck, personal fees from Roche, personal fees from Sanofi, personal fees from TEVA, outside the submitted work., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Background: Many risk factors for the development of severe forms of Covid-19 have been identified, some applying to the general population and others specific to Multiple Sclerosis (MS) patients. However, a score for quantifying the individual risk of severe Covid-19 in patients with MS is not available. The aim of this study was to construct such score and to evaluate its performance., Methods: Data on patients with MS infected with Covid-19 in Italy, Turkey and South America were extracted from the Musc-19 platform. After imputation of missing values, data were separated into training data set (70%) and validation data set (30%). Univariable logistic regression models were performed in the training dataset to identify the main risk factors to be included in the multivariable logistic regression analyses. To select the most relevant variables we applied three different approaches: (1) multivariable stepwise, (2) Lasso regression, (3) Bayesian model averaging. Three scores were defined as the linear combination of the coefficients estimated in the models multiplied by the corresponding value of the variables and higher scores were associated to higher risk of severe Covid-19 course. The performances of the three scores were compared in the validation dataset based on the area under the ROC curve (AUC) and an optimal cut-off was calculated in the training dataset for the score with the best performance. The probability of showing a severe Covid-19 course was calculated based on the score with the best performance., Results: 3852 patients were included in the study (2696 in the training dataset and 1156 in the validation data set). 17% of the patients required hospitalization and risk factors for severe Covid-19 course were older age, male sex, living in Turkey or South America instead of living in Italy, presence of comorbidities, progressive MS, longer disease duration, higher Expanded Disability Status Scale, Methylprednisolone use and anti-CD20 treatment. The score with the best performance was the one derived using the Lasso selection approach (AUC= 0.72) and it was built with the following variables: age, sex, country, BMI, presence of comorbidities, EDSS, methylprednisolone use, treatment. An excel spreadsheet to calculate the score and the probability of severe Covid-19 is available at the following link: https://osf.io/ac47u/?view&#95;only=691814d57b564a34b3596e4fcdcf8580., Conclusions: The originality of this study consists in building a useful tool to quantify the individual risk for Covid-19 severity based on patient's characteristics. Due to the modest predictive ability and to the need of external validation, this tool is not ready for being fully used in clinical practice to make important decisions or interventions. However, it can be used as an additional instrument to identify high-risk patients and persuade them to take important measures to prevent Covid-19 infection (i.e. getting vaccinated against Covid-19, adhering to social distancing, and using of personal protection equipment)., (Copyright © 2022. Published by Elsevier B.V.)

Background: clinical factors and frequency of disease-modifying therapy (DMT) changes/interruptions in relapsing-remitting multiple sclerosis (RRMS) patients have not been well defined. The aim of this study was to describe reasons of MS treatment modifications in a large cohort of Italian MS patients., Methods: this multicenter, cross-sectional non interventional study (SWITCH) conducted at 28 Italian MS centers, screened, by visit/telephone contact between June 2016 and June 2017, all RRMS patients receiving stable DMT treatment and enrolled patients with change in DMT treatment., Results: out of 13,657 recorded in the log, 409 (3%) changed therapy. Of these, 336 (2.5%), met the study criteria and were considered eligible. Among 303 (90.2% of 336) patients switching, the most common reason was "lack of efficacy" (58.4% of 303). Among 30 (8.9%) patients who interrupted treatment temporarily, the most common reason was pregnancy (40.0% of 30). Out of 3 (0.9%) patients who discontinued treatment permanently, 2 (66.7%) had as first reason as "patient decision". Multivariate analysis showed that EDSS was the only variable with statistically significant effect on changing treatments (r = 8.33; p-value of Type III Sum of Squares = 0.016)., Conclusion: in our study, 303 (90.2% of eligible patients) switched treatment, 30 (8.9%) interrupted treatment temporarily, and 3 (0.9%) discontinued treatment permanently. Efficacy remains the main driving force behind switching behavior, as the primary aim of treatment is to be disease free or reduce disease activity., Competing Interests: Declaration of Competing Interest The authors declare the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: F.P. has received honoraria for speaking activities by Almirall, Bayer Schering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA; he also served as advisory board member the following companies: Bayer Schering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA; he was also funded by Pfizer and FISM for epidemiological studies; he received grants for congress participation from Almirall, Bayer Shering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. C.G.C. has received grants for congress participation from Almirall, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. E.D'A. has received grants for speaking activities from Bayer Schering, Biogen Idec, Merck Serono, Novartis, TEVA and grants for congress participation from Almirall, Bayer Schering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. P.A. has received honoraria for lecturing and participation in advisory boards, and/or travel expenses for attending congresses and meetings from Almirall, Biogen Idec, Merck Serono, Mylan, Novartis, Roche, Sanofi Genzyme, and TEVA. P.B. has received support for attendance to scientific meetings from Biogen Idec, Merck Serono, Novartis, and Sanofi Genzyme. R.B: has received honoraria for lectures, travel and registration coverage for attending several national or international congresses or symposia from Almirall, Bayer Shering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Aventis, Sanofi Genzyme, and TEVA. R.C. has received speaker's honoraria, consulting fees, honoraria in advisory boards, support for attendance of scientific meetings from Meck Serono, Novartis, and Sanofi Genzyme. M.C. Author declares there is no conflict of interest. A.C. has received speaker honoraria, travel grants, advisory boards member honoraria from Biogen Idec, Merck Serono, Novartis, Sanofi Genzyme, and TEVA. R.F. has received consulting fees and honoraria for advisory boards from Biogen Idec, Merck Serono, Novartis, Roche, and TEVA. M.Fi. Author declares there is no conflict of interest. M.Fr. has received speaker's honoraria and consulting fees, honoraria for advisory boards, support for attendance of scientific meetings from Biogen Idec, Merck Serono, Novartis, TEVA, and Sanofi Genzyme. M.G. Author declares there is no conflict of interest. P.I. has received speaking honoraria, consulting fees, advisory board honoraria from Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA S.L. Author declares there is no conflict of interest. S.M. has received speaker's honoraria and consulting fees, honoraria in advisory boards from Biogen Idec, Merck Serono, Novartis, Sanofi Genzyme, and TEVA. G.M. has received honoraria for public speaking and advisory boards from Biogen, Novartis, and Merck Serono. G.A.M. is an Advisory Board member of Biogen Idec, Sanofi Genzyme, Merck-Serono, Novartis, and TEVA, and received honoraria for speaking or consultation fees from Almirall, Bayer Schering, Biogen Idec, Merck Serono, Novartis, Sanofi-Genzyme, and TEVA. She is the principal investigator in clinical trials for Actelion, Biogen Idec, Merck Serono, Mitsubishi, Novartis, Roche, Sanofi-Genzyme, and TEVA. D.P. has received honoraria for consultancy and/or speaking from Almirall, Bayer Shering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. C.S. Author declares there is no conflict of interest. P.P. has received speaker honoraria and consulting fees from Biogen, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. P.S. has received speaker's honoraria and consulting fees, honoraria for advisory boards, and travel grants from Biogen Idec, Merck Serono, Novartis, Sanofi genzyme, and TEVA. R.T. has received speaker's honoraria, consulting fee, honoraria for advisory boards, support for attendance of scientific meetings from Alfa Wasserman, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi genzyme, and TEVA. G.T. has received support for attendance to scientific meetings from Almirall, Biogen Idec, Merck Serono, Novartis, and Sanofi Genzyme. P.V. has received speaker's honoraria and consulting fee, honoraria for advisory boards from Biogen Idec, Novartis, Merck Serono, Sanofi Genzyme, and TEVA. M.Z. has received honoraria for lecturing or participating for advisory boards or travel funding from Almirall, Biogen, Merck Serono, Novartis, Sanofi Genzyme, and TEVA. C.Z. has received speaker's honoraria and consulting fees, honoraria for advisory boards, support for attendance of scientific meetings from Almirall, Bayer Shering, Biogen Idec, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA. D.C. is an Advisory Board member of Almirall, Bayer Schering, Biogen Idec, GW Pharmaceuticals, Merck Serono, Novartis, Roche, Sanofi Genzyme, and TEVA, and received honoraria for speaking or consultation fees from Almirall, Bayer Schering, Biogen, GW Pharmaceuticals, Merck Serono, Novartis, Roche, Sanofi-Genzyme, and TEVA. He is also the principal investigator in clinical trials for Bayer Schering, Biogen, Merck Serono, Mitsubishi, Novartis, Roche, Sanofi Genzyme, and TEVA. His preclinical and clinical research was supported by grants from Bayer Schering, Biogen Idec, Celgene, Merck Serono, Novartis, Roche, Sanofi Genzyme and TEVA., (Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.)