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1. Neurite Orientation Dispersion and Density Imaging for Assessing Acute Inflammation and Lesion Evolution in MS

Author: Sacco, S, Caverzasi, E, Papinutto, N, Cordano, C, Bischof, A, Gundel, T, Cheng, S, Asteggiano, C, Kirkish, G, Mallot, J, Stern, WA, Bastianello, S, Bove, RM, Gelfand, JM, Goodin, DS, Green, AJ, Waubant, E, Wilson, MR, Zamvil, SS, Cree, BA, Hauser, SL, Henry, RG, and San Francisco MS-EPIC Team University of California
Subjects: Brain Disorders, Behavioral and Social Science, Basic Behavioral and Social Science, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Adult, Brain, Cross-Sectional Studies, Diffusion Magnetic Resonance Imaging, Female, Humans, Image Interpretation, Computer-Assisted, Inflammation, Male, Multiple Sclerosis, Neurites, Neuroimaging, University of California, San Francisco MS-EPIC Team, Clinical Sciences, Neurosciences, Nuclear Medicine & Medical Imaging
Abstract: Background and purposeMR imaging is essential for MS diagnosis and management, yet it has limitations in assessing axonal damage and remyelination. Gadolinium-based contrast agents add value by pinpointing acute inflammation and blood-brain barrier leakage, but with drawbacks in safety and cost. Neurite orientation dispersion and density imaging (NODDI) assesses microstructural features of neurites contributing to diffusion imaging signals. This approach may resolve the components of MS pathology, overcoming conventional MR imaging limitations.Materials and methodsTwenty-one subjects with MS underwent serial enhanced MRIs (12.6 ± 9 months apart) including NODDI, whose key metrics are the neurite density and orientation dispersion index. Twenty-one age- and sex-matched healthy controls underwent unenhanced MR imaging with the same protocol. Fifty-eight gadolinium-enhancing and non-gadolinium-enhancing lesions were semiautomatically segmented at baseline and follow-up. Normal-appearing WM masks were generated by subtracting lesions and dirty-appearing WM from the whole WM.ResultsThe orientation dispersion index was higher in gadolinium-enhancing compared with non-gadolinium-enhancing lesions; logistic regression indicated discrimination, with an area under the curve of 0.73. At follow-up, in the 58 previously enhancing lesions, we identified 2 subgroups based on the neurite density index change across time: Type 1 lesions showed increased neurite density values, whereas type 2 lesions showed decreased values. Type 1 lesions showed greater reduction in size with time compared with type 2 lesions.ConclusionsNODDI is a promising tool with the potential to detect acute MS inflammation. The observed heterogeneity among lesions may correspond to gradients in severity and clinical recovery after the acute phase.
Published: 2020

2. Signs and symptoms of COVID-19 in patients with multiple sclerosis

Author: Schiavetti I., Carmisciano L., Ponzano M., Cordioli C., Cocco E., Marfia G. A., Inglese M., Filippi M., Radaelli M., Bergamaschi R., Immovilli P., Capobianco M., De Rossi N., Brichetto G., Scandellari C., Cavalla P., Pesci I., Confalonieri P., Perini P., Trojano M., Lanzillo R., Tedeschi G., Comi G., Battaglia M. A., Patti F., Salvetti M., Sormani M. P., Abbadessa G., Aguglia U., Allegorico L., Rossi Allegri B. M., Alteno A., Amato M. P., Annovazzi P., Antozzi C., Appendino L., Arena S., Baione V., Balgera R., Barcella V., Baroncini D., Barrila C., Bellacosa A., Bellucci G., Bergamaschi V., Bezzini D., Biolzi B., Bisecco A., Bonavita S., Borriello G., Bosa C., Bosco A., Bovis F., Bozzali M., Brambilla L., Brescia Morra V., Buccafusca M., Bucciantini E., Bucello S., Buscarinu M. C., Cabboi M. P., Calabrese M., Calabria F., Caleri F., Camilli F., Caniatti L. M., Cantello R., Capra R., Capuano R., Carta P., Celani M. G., Cellerino M., Cerqua R., Chisari C., Clerici R., Clerico M., Cola G., Conte A., Conti M. Z., Cordano C., Cordera S., Corea F., Correale C., Cottone S., Crescenzo F., Curti E., d'Ambrosio A., D'Amico E., Danni M. C., d'Arma A., Dattola V., de Biase S., De Luca G., De Mercanti S. F., De Mitri P., De Stefano N., Della Cava F. M., Cava M. D., Di Lemme S., di Napoli M., Di Sapio A., Docimo R., Dutto A., Evangelista L., Fanara S., Fantozzi R., Ferraro D., Ferro M. T., Fioretti C., Fratta M., Frau J., Fronza M., Furlan R., Gajofatto A., Gallo A., Gallo P., Gasperini C., Ghazaryan A., Giometto B., Gobbin F., Govone F., Granella F., Grange E., Grasso M. G., Grimaldi L. M. E., Guareschi A., Guaschino C., Guerrieri S., Guidetti D., Juergenson I. B., Iaffaldano P., Ianniello A., Iasevoli L., Imperiale D., Infante M. T., Iodice R., Iovino A., Konrad G., Landi D., Lapucci C., Lavorgna L., L'Episcopo M. R., Leva S., Liberatore G., Lo Re M., Longoni M., Lopiano L., Lorefice L., Lucchini M., Lus G., Maimone D., Malentacchi M., Mallucci G., Malucchi S., Mancinelli C. R., Mancinelli L., Manganotti P., Maniscalco G. T., Mantero V., Marangoni S., Marastoni D., Marinelli F., Marti A., Boneschi Martinelli F., Masserano Z. F., Matta F., Mendozzi L., Meucci G., Miante S., Miele G., Milano E., Mirabella M., Missione R., Moccia M., Moiola L., Montepietra S., MontiBragadin M., Montini F., Motta R., Nardone R., Gabri Nicoletti C., Nobile-Orazio E., Nozzolillo A., Onofrj M., Orlandi R., Palmieri A., Paolicelli D., Pasquali L., Pasto L., Pedrazzoli E., Petracca M., Petrone A., Piantadosi C., Pietroboni A. M., Pinardi F., Portaccio E., Pozzato M., Pozzilli C., Prosperini L., Protti A., Ragonese P., Rasia S., Realmuto S., Repice A., Rigoni E., Rilla M. T., Rinaldi F., Romano C. M., Ronzoni M., Rovaris M., Ruscica F., Sabattini L., Salemi G., Saraceno L., Sartori A., Sbragia E., Scarano G. I., Scarano V., Sessa M., Sgarito C., Sibilia G., Siciliano G., Signori A., Signoriello E., Sinisi L., Sireci F., Sola P., Solaro C., Sotgiu S., Sparaco M., Stromillo M. L., Strumia S., Susani E. L., Tabiadon G., Teatini F., Tomassini V., Tonietti S., Torri V., Tortorella C., Toscano S., Totaro R., Trotta M., Turano G., Ulivelli M., Valentino M., Vaula G., Vecchio D., Vercellino M., Verrengia E. P., Vianello M., Virgilio E., Vitetta F., Vollaro S., Zaffaroni M., Zampolini M., Zarbo I. R., Zito A., Zuliani L., Schiavetti, Irene, Carmisciano, Luca, Ponzano, Marta, Cordioli, Cinzia, Cocco, Eleonora, Marfia, Girolama Alessandra, Inglese, Matilde, Filippi, Massimo, Radaelli, Marta, Bergamaschi, Roberto, Immovilli, Paolo, Capobianco, Marco, De Rossi, Nicola, Brichetto, Giampaolo, Scandellari, Cinzia, Cavalla, Paola, Pesci, Ilaria, Confalonieri, Paolo, Perini, Paola, Trojano, Maria, Lanzillo, Roberta, Tedeschi, Gioacchino, Comi, Giancarlo, Battaglia, Mario Alberto, Patti, Francesco, Salvetti, Marco, Sormani, Maria Pia, Gianmarco, Abbadessa, Umberto, Aguglia, Allegorico, Lia, Beatrice Maria Rossi Allegri, Anastasia, Alteno, Amato, MARIA PIA, Pietro, Annovazzi, Carlo, Antozzi, Lucia, Appendino, Sebastiano, Arena, Viola, Baione, Roberto, Balgera, Valeria, Barcella, Damiano, Baroncini, Caterina, Barrilà, Alessandra, Bellacosa, Gianmarco, Bellucci, Valeria, Bergamaschi, Daiana, Bezzini, Beatrice, Biolzi, Bisecco, Alvino, Simona, Bonavita, Giovanna, Borriello, Chiara, Bosa, Antonio, Bosco, Francesca, Bovi, Marco, Bozzali, Laura, Brambilla, BRESCIA MORRA, Vincenzo, Maria, Buccafusca, Elisabetta, Bucciantini, Sebastiano, Bucello, Maria Chiara Buscarinu, Maria Paola Cabboi, Massimiliano, Calabrese, Francesca, Calabria, Francesca, Caleri, Federico, Camilli, Luisa Maria Caniatti, Roberto, Cantello, Ruggero, Capra, Rocco, Capuano, Patrizia, Carta, Maria Grazia Celani, Maria, Cellerino, Raffaella, Cerqua, Clara, Chisari, Raffaella, Clerici, Marinella, Clerico, Gaia, Cola, Antonella, Conte, Marta Zaffira Conti, Christian, Cordano, Susanna, Cordera, Francesco, Corea, Claudio, Correale, Salvatore, Cottone, Francesco, Crescenzo, Erica, Curti, Alessandro, D’Ambrosio, Emanuele, D’Amico, Maura Chiara Danni, Alessia, D’Arma, Vincenzo, Dattola, Stefano de Biase, Giovanna De Luca, Stefania Federica De Mercanti, Paolo De Mitri, Nicola De Stefano, Fabio Maria Della Cava, Marco Della Cava, Sonia Di Lemme, Mario di Napoli, Alessia Di Sapio, Renato, Docimo, Anna, Dutto, Luana, Evangelista, Salvatore, Fanara, Roberta, Fantozzi, Diana, Ferraro, Maria Teresa Ferrò, Cristina, Fioretti, Mario, Fratta, Jessica, Frau, Marzia, Fronza, Roberto, Furlan, Alberto, Gajofatto, Gallo, Antonio, Paolo, Gallo, Claudio, Gasperini, Anna, Ghazaryan, Bruno, Giometto, Francesca, Gobbin, Flora, Govone, Franco, Granella, Erica, Grange, Grasso, MARIA GRAZIA, Grimaldi, Luigi M. E., Angelica, Guareschi, Clara, Guaschino, Simone, Guerrieri, Donata, Guidetti, Ina Barbara Juergenson, Pietro, Iaffaldano, Ianniello, Antonio, Luigi, Iasevoli, Daniele, Imperiale, Maria Teresa Infante, Iodice, Rosa, Iovino, Aniello, Giovanna, Konrad, Doriana, Landi, Caterina, Lapucci, Luigi, Lavorgna, Maria Rita L’Episcopo, Serena, Leva, Giuseppe, Liberatore, Marianna Lo Re, Marco, Longoni, Leonardo, Lopiano, Lorena, Lorefice, Matteo, Lucchini, Lus, Giacomo, Maimone, Davide, Maria, Malentacchi, Giulia, Mallucci, Simona, Malucchi, Chiara Rosa Mancinelli, Luca, Mancinelli, Paolo, Manganotti, Giorgia Teresa Maniscalco, Vittorio, Mantero, Sabrina, Marangoni, Damiano, Marastoni, Fabiana, Marinelli, Marti, NICOLA ALESSANDRO, Filippo Boneschi Martinelli, Zoli Federco Masserano, Francesca, Matta, Laura, Mendozzi, Giuseppe, Meucci, Silvia, Miante, Giuseppina, Miele, Eva, Milano, Massimiliano, Mirabella, Rosanna, Missione, Moccia, Marcello, Lucia, Moiola, Sara, Montepietra, Margherita, Montibragadin, Federico, Montini, Roberta, Motta, Raffaele, Nardone, Carolina Gabri Nicoletti, Eduardo, Nobile‐orazio, Nozzolillo, Agostino, Marco, Onofrj, Riccardo, Orlandi, Anna, Palmieri, Damiano, Paolicelli, Livia, Pasquali, Luisa, Pastò, Elisabetta, Pedrazzoli, Petracca, Maria, Alfredo, Petrone, Carlo, Piantadosi, Pietroboni, Anna M., Federica, Pinardi, Emilio, Portaccio, Mattia, Pozzato, Pozzilli, Carlo, Luca, Prosperini, Alessandra, Protti, Paolo, Ragonese, Sarah, Rasia, Sabrina, Realmuto, Anna, Repice, Eleonora, Rigoni, Maria Teresa Rilla, DELLA RATTA RINALDI, Francesca, Calogero Marcello Romano, Marco, Ronzoni, Marco, Rovari, Francesca, Ruscica, Loredana, Sabattini, Giuseppe, Salemi, Lorenzo, Saraceno, Alessia, Sartori, Arianna, Sartori, Elvira, Sbragia, Giuditta Ilaria Scarano, Valentina, Scarano, Maria, Sessa, Caterina, Sgarito, Sibilia, Grazia, Gabriele, Siciliano, Alessio, Signori, Signoriello, Elisabetta, Sinisi, Leonardo, Francesca, Sireci, Patrizia, Sola, Claudio, Solaro, Stefano, Sotgiu, Maddalena, Sparaco, Maria Laura Stromillo, Silvia, Strumia, Emanuela Laura Susani, Giulietta, Tabiadon, Francesco, Teatini, Valentina, Tomassini, Simone, Tonietti, Valentina, Torri, Tortorella, Carla, Simona, Toscano, Rocco, Totaro, Maria, Trotta, Gabriella, Turano, Monica, Ulivelli, Manzo, Valentino, Giovanna, Vaula, Domizia, Vecchio, Marco, Vercellino, Elena Pinuccia Verrengia, Marika, Vianello, Eleonora, Virgilio, Francesca, Vitetta, Vollaro, Stefano, Mauro, Zaffaroni, Mauro, Zampolini, Ignazio Roberto Zarbo, Antonio, Zito, and Luigi Zuliani, Schiavetti, I., Carmisciano, L., Ponzano, M., Cordioli, C., Cocco, E., Marfia, G. A., Inglese, M., Filippi, M., Radaelli, M., Bergamaschi, R., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Scandellari, C., Cavalla, P., Pesci, I., Confalonieri, P., Perini, P., Trojano, M., Lanzillo, R., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Rossi Allegri, B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia Morra, V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, F. M., Cava, M. D., Di Lemme, S., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Fantozzi, R., Ferraro, D., Ferro, M. T., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Furlan, R., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Grimaldi, L. M. E., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Juergenson, I. B., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Iodice, R., Iovino, A., Konrad, G., Landi, D., Lapucci, C., Lavorgna, L., L'Episcopo, M. R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, M., Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, G. T., Mantero, V., Marangoni, S., Marastoni, D., Marinelli, F., Marti, A., Boneschi Martinelli, F., Masserano, Z. F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, M., Missione, R., Moccia, M., Moiola, L., Montepietra, S., Montibragadin, M., Montini, F., Motta, R., Nardone, R., Gabri Nicoletti, C., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scarano, G. I., Scarano, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, E. L., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., and Zuliani, L.
Subjects: Multiple Sclerosis, Anosmia, Clinical Sciences, neurological disorders, Neurodegenerative, Settore MED/26, demyelinating disease, COVID-19, demyelinating diseases, disease-modifying treatment, multiple sclerosis, Humans, neurological disorder, Aged, Neurology & Neurosurgery, SARS-CoV-2, Pain Research, Neurosciences, Brain Disorders, Settore MED/26 - NEUROLOGIA, Good Health and Well Being, Neurology, multiple sclerosi, Neurology (clinical), MuSC-19 Study Group, Ageusia, Human
Abstract: Background and purpose: Clinical outcomes of multiple sclerosis (MS) patients affected by coronavirus disease 2019 (COVID-19) have been thoroughly investigated, but a further analysis on main signs and symptoms and their risk factors still needs attention. The objective of this study was to group together and describe based on similarity the most common signs and symptoms of COVID-19 in MS patients and identify all factors associated with their manifestation. Method: Logistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number. Results: From March 2020 to November 2021, data were collected from 1354 MS patients with confirmed infection of COVID-19. Ageusia and anosmia was less frequent in older people (odds ratio [OR] 0.98; p=0.005) and more in smoker patients (OR 1.39; p=0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p=0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p=0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p=0.008). Some disease-modifying therapies were associated with greater frequencies of certain COVID-19 symptoms (association between anti-CD20 therapies and increment in the number of concomitant symptoms: OR 1.29; p=0.05). Differences in frequencies between the three waves were found for flu-like symptoms (G1, p=0.024), joint or muscle pain (G2, p=0.013) and ageusia and anosmia (G5, p < 0.001). All cases should be referred to variants up to Delta. Conclusion: Several factors along with the choice of specific therapeutic approaches might have a different impact on the occurrence of some COVID-19 symptoms.
Published: 2022

3. Artificial intelligence extension of the OSCAR-IB criteria

Author: Petzold, A., Albrecht, P., Balcer, L., Bekkers, E., Brandt, A. U., Calabresi, P. A., Deborah, O. G., Graves, J. S., Green, A., Keane, P. A., Nij Bijvank, J. A., Sander, J. W., Paul, F., Saidha, S., Villoslada, P., Wagner, S. K., Yeh, E. A., Aktas, O., Antel, J., Asgari, N., Audo, I., Avasarala, J., Avril, D., Bagnato, F. R., Banwell, B., Bar-Or, A., Behbehani, R., Manterola, A. B., Bennett, J., Benson, L., Bernard, J., Bremond-Gignac, D., Britze, J., Burton, J., Calkwood, J., Carroll, W., Chandratheva, A., Cohen, J., Comi, G., Cordano, C., Costa, S., Costello, F., Courtney, A., Cruz-Herranz, A., Cutter, G., Crabb, D., Delott, L., De Seze, J., Diem, R., Dollfuss, H., El Ayoubi, N. K., Fasser, C., Finke, C., Fischer, D., Fitzgerald, K., Fonseca, P., Frederiksen, J. L., Frohman, E., Frohman, T., Fujihara, K., Cuellar, I. G., Galetta, S., Garcia-Martin, E., Giovannoni, G., Glebauskiene, B., Suarez, I. G., Jensen, G. P., Hamann, S., Hartung, H. -P., Havla, J., Hemmer, B., Huang, S. -C., Imitola, J., Jasinskas, V., Jiang, H., Kafieh, R., Kappos, L., Kardon, R., Keegan, D., Kildebeck, E., Kim, U. S., Klistorner, S., Knier, B., Kolbe, S., Korn, T., Krupp, L., Lagreze, W., Leocani, L., Levin, N., Liskova, P., Preiningerova, J. L., Lorenz, B., May, E., Miller, D., Mikolajczak, J., Said, S. M., Montalban, X., Morrow, M., Mowry, E., Murta, J., Navas, C., Nolan, R., Nowomiejska, K., Oertel, F. C., Oh, J., Oreja-Guevara, C., Orssaud, C., Osborne, B., Outteryck, O., Paiva, C., Palace, J., Papadopoulou, A., Patsopoulos, N., Pontikos, N., Preising, M., Prince, J., Reich, D., Rejdak, R., Ringelstein, M., Rodriguez de Antonio, L., Sahel, J. -A., Sanchez-Dalmau, B., Sastre-Garriga, J., Schippling, S., Schuman, J., Shindler, K., Shin, R., Shuey, N., Soelberg, K., Specovius, S., Suppiej, A., Thompson, A., Toosy, A., Torres, R., Touitou, V., Trauzettel-Klosinski, S., van der Walt, A., Vermersch, P., Vidal-Jordana, A., Waldman, A. T., Waters, C., Wheeler, R., White, O., Wilhelm, H., Winges, K. M., Wiegerinck, N., Wiehe, L., Wisnewski, T., Wong, S., Wurfel, J., Yaghi, S., You, Y., Yu, Z., Yu-Wai-Man, P., Zemaitien≐, R., Zimmermann, H., Albrecht P., Petzold A., Balcer, L., Bekkers, E., Brandt, A. U., Calabresi, P. A., Deborah, O. G., Graves, J. S., Green, A., Keane, P. A., Nij Bijvank, J. A., Sander, J. W., Paul, F., Saidha, S., Villoslada, P., Wagner, S. K., Yeh, E. A., Aktas, O., Antel, J., Asgari, N., Audo, I., Avasarala, J., Avril, D., Bagnato, F. R., Banwell, B., Bar-Or, A., Behbehani, R., Manterola, A. B., Bennett, J., Benson, L., Bernard, J., Bremond-Gignac, D., Britze, J., Burton, J., Calkwood, J., Carroll, W., Chandratheva, A., Cohen, J., Comi, G., Cordano, C., Costa, S., Costello, F., Courtney, A., Cruz-Herranz, A., Cutter, G., Crabb, D., Delott, L., De Seze, J., Diem, R., Dollfuss, H., El Ayoubi, N. K., Fasser, C., Finke, C., Fischer, D., Fitzgerald, K., Fonseca, P., Frederiksen, J. L., Frohman, E., Frohman, T., Fujihara, K., Cuellar, I. G., Galetta, S., Garcia-Martin, E., Giovannoni, G., Glebauskiene, B., Suarez, I. G., P. , Jensen, G., Hamann, S., Hartung, H. -P., Havla, J., Hemmer, B., Huang, S. -C., Imitola, J., Jasinskas, V., Jiang, H., Kafieh, R., Kappos, L., Kardon, R., Keegan, D., Kildebeck, E., Kim, U. S., Klistorner, S., Knier, B., Kolbe, S., Korn, T., Krupp, L., Lagreze, W., Leocani, L., Levin, N., Liskova, P., Preiningerova, J. L., Lorenz, B., May, E., Miller, D., Mikolajczak, J., Said, S. M., Montalban, X., Morrow, M., Mowry, E., Murta, J., Navas, C., Nolan, R., Nowomiejska, K., Oertel, F. C., Oh, J., Oreja-Guevara, C., Orssaud, C., Osborne, B., Outteryck, O., Paiva, C., Palace, J., Papadopoulou, A., Patsopoulos, N., Pontikos, N., Preising, M., Prince, J., Reich, D., Rejdak, R., Ringelstein, M., Rodriguez de Antonio, L., Sahel, J. -A., Sanchez-Dalmau, B., Sastre-Garriga, J., Schippling, S., Schuman, J., Shindler, K., Shin, R., Shuey, N., Soelberg, K., Specovius, S., Suppiej, A., Thompson, A., Toosy, A., Torres, R., Touitou, V., Trauzettel-Klosinski, S., van der Walt, A., Vermersch, P., Vidal-Jordana, A., Waldman, A. T., Waters, C., Wheeler, R., White, O., Wilhelm, H., Winges, K. M., Wiegerinck, N., Wiehe, L., Wisnewski, T., Wong, S., Wurfel, J., Yaghi, S., You, Y., Yu, Z., Yu-Wai-Man, P., Zemaitien≐, R., and Zimmermann, H.
Subjects: 0301 basic medicine, Big Data, medicine.medical_specialty, Neurology, media_common.quotation_subject, Big data, MEDLINE, Reviews, Socio-culturale, Neurosciences. Biological psychiatry. Neuropsychiatry, Review, Public domain, Retina, Cohort Studies, 03 medical and health sciences, Annotation, 0302 clinical medicine, Artificial Intelligence, medicine, Humans, Quality (business), RC346-429, Tomography, media_common, Image pattern recognition, business.industry, General Neuroscience, Nervous System Diseases, Tomography, Optical Coherence, Algorithms, 030104 developmental biology, Optical Coherence, Imaging technology, RC0321, Neurology. Diseases of the nervous system, Neurology (clinical), Artificial intelligence, sense organs, business, 030217 neurology & neurosurgery, RC321-571
Abstract: Artificial intelligence (AI)‐based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big data in neurology is optical coherence tomography (OCT). We highlight that OCT changes observed in the retina, as a window to the brain, are small, requiring rigorous quality control pipelines. There are existing tools for this purpose. Firstly, there are human‐led validated consensus quality control criteria (OSCAR‐IB) for OCT. Secondly, these criteria are embedded into OCT reporting guidelines (APOSTEL). The use of the described annotation of failed OCT scans advances machine learning. This is illustrated through the present review of the advantages and disadvantages of AI‐based applications to OCT data. The neurological conditions reviewed here for the use of big data include Alzheimer disease, stroke, multiple sclerosis (MS), Parkinson disease, and epilepsy. It is noted that while big data is relevant for AI, ownership is complex. For this reason, we also reached out to involve representatives from patient organizations and the public domain in addition to clinical and research centers. The evidence reviewed can be grouped in a five‐point expansion of the OSCAR‐IB criteria to embrace AI (OSCAR‐AI). The review concludes by specific recommendations on how this can be achieved practically and in compliance with existing guidelines.
Published: 2021

4. The effect of air pollution on COVID-19 severity in a sample of patients with multiple sclerosis

Author: Bergamaschi, R., Ponzano, M., Schiavetti, I., Carmisciano, L., Cordioli, C., Filippi, M., Radaelli, M., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Cocco, E., Scandellari, C., Cavalla, P., Pesci, I., Zito, A., Confalonieri, P., Marfia, G. A., Perini, P., Inglese, M., Trojano, M., Brescia Morra, V., Pisoni, E., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Allegri, R. B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrilà, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia, M. V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della, C. M., Mirabella, Massimiliano, MuSC-19 study, Group., Mirabella M. (ORCID:0000-0002-7783-114X), Bergamaschi, R., Ponzano, M., Schiavetti, I., Carmisciano, L., Cordioli, C., Filippi, M., Radaelli, M., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Cocco, E., Scandellari, C., Cavalla, P., Pesci, I., Zito, A., Confalonieri, P., Marfia, G. A., Perini, P., Inglese, M., Trojano, M., Brescia Morra, V., Pisoni, E., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Allegri, R. B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrilà, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia, M. V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della, C. M., Mirabella, Massimiliano, MuSC-19 study, Group., and Mirabella M. (ORCID:0000-0002-7783-114X)
Abstract: Background and purpose Some studies have shown that air pollution, often assessed by thin particulate matter with diameter below 2.5 mu g/m(3) (PM2.5), may contribute to severe COVID-19 courses, as well as play a role in the onset and evolution of multiple sclerosis (MS). However, the impact of air pollution on COVID-19 has never been explored specifically amongst patients with MS (PwMS). This retrospective observational study aims to explore associations between PM2.5 and COVID-19 severity amongst PwMS. Methods Data were retrieved from an Italian web-based platform (MuSC-19) which includes PwMS with COVID-19. PM2.5 2016-2018 average concentrations were provided by the Copernicus Atmospheric Monitoring Service. Italian patients inserted in the platform from 15 January 2020 to 9 April 2021 with a COVID-19 positive test were included. Ordered logistic regression models were used to study associations between PM2.5 and COVID-19 severity. Results In all, 1087 patients, of whom 13% required hospitalization and 2% were admitted to an intensive care unit or died, were included. Based on the multivariate analysis, higher concentrations of PM2.5 increased the risk of worse COVID-19 course (odds ratio 1.90; p = 0.009). Conclusions Even if several other factors explain the unfavourable course of COVID-19 in PwMS, the role of air pollutants must be considered and further investigated.
Published: 2022

5. Signs and symptoms of COVID-19 in patients with multiple sclerosis

Author: Schiavetti, I., Carmisciano, L., Ponzano, M., Cordioli, C., Cocco, E., Marfia, G. A., Inglese, M., Filippi, M., Radaelli, M., Bergamaschi, R., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Scandellari, C., Cavalla, P., Pesci, I., Confalonieri, P., Perini, P., Trojano, M., Lanzillo, R., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Rossi Allegri, B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia Morra, V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, F. M., Cava, M. D., Di Lemme, S., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Fantozzi, R., Ferraro, D., Ferro, M. T., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Furlan, R., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Grimaldi, L. M. E., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Juergenson, I. B., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Iodice, R., Iovino, A., Konrad, G., Landi, D., Lapucci, C., Lavorgna, L., L'Episcopo, M. R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, Matteo, Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, G. T., Mantero, V., Marangoni, S., Marastoni, D., Marinelli, F., Marti, A., Boneschi Martinelli, F., Masserano, Z. F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, Massimiliano, Missione, R., Moccia, M., Moiola, L., Montepietra, S., Montibragadin, M., Montini, F., Motta, R., Nardone, R., Gabri Nicoletti, C., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scarano, G. I., Scarano, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, E. L., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., Zuliani, L., Lucchini M. (ORCID:0000-0002-0447-2297), Mirabella M. (ORCID:0000-0002-7783-114X), Schiavetti, I., Carmisciano, L., Ponzano, M., Cordioli, C., Cocco, E., Marfia, G. A., Inglese, M., Filippi, M., Radaelli, M., Bergamaschi, R., Immovilli, P., Capobianco, M., De Rossi, N., Brichetto, G., Scandellari, C., Cavalla, P., Pesci, I., Confalonieri, P., Perini, P., Trojano, M., Lanzillo, R., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Sormani, M. P., Abbadessa, G., Aguglia, U., Allegorico, L., Rossi Allegri, B. M., Alteno, A., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia Morra, V., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cola, G., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, F. M., Cava, M. D., Di Lemme, S., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Fantozzi, R., Ferraro, D., Ferro, M. T., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Furlan, R., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Grimaldi, L. M. E., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Juergenson, I. B., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Iodice, R., Iovino, A., Konrad, G., Landi, D., Lapucci, C., Lavorgna, L., L'Episcopo, M. R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, Matteo, Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, G. T., Mantero, V., Marangoni, S., Marastoni, D., Marinelli, F., Marti, A., Boneschi Martinelli, F., Masserano, Z. F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, Massimiliano, Missione, R., Moccia, M., Moiola, L., Montepietra, S., Montibragadin, M., Montini, F., Motta, R., Nardone, R., Gabri Nicoletti, C., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scarano, G. I., Scarano, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, E. L., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., Zuliani, L., Lucchini M. (ORCID:0000-0002-0447-2297), and Mirabella M. (ORCID:0000-0002-7783-114X)
Abstract: Background and purpose Clinical outcomes of multiple sclerosis (MS) patients affected by coronavirus disease 2019 (COVID-19) have been thoroughly investigated, but a further analysis on main signs and symptoms and their risk factors still needs attention. The objective of this study was to group together and describe based on similarity the most common signs and symptoms of COVID-19 in MS patients and identify all factors associated with their manifestation. Method Logistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number. Results From March 2020 to November 2021, data were collected from 1354 MS patients with confirmed infection of COVID-19. Ageusia and anosmia was less frequent in older people (odds ratio [OR] 0.98; p = 0.005) and more in smoker patients (OR 1.39; p = 0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p = 0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p = 0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p = 0.008). Some disease-modifying therapies were associated with greater frequencies of certain COVID-19 symptoms (association between anti-CD20 therapies and increment in the number of concomitant symptoms: OR 1.29; p = 0.05). Differences in frequencies between the three waves were found for flu-like symptoms (G1, p = 0.024), joint or muscle pain (G2, p = 0.013) and ageusia and anosmia (G5, p < 0.001). All cases should be referred to variants up to Delta. Conclusion Several factors along with the choice of specific therapeutic approaches might have a different impact on the occurrence of some COVID-19 symptoms.
Published: 2022

6. SARS-CoV-2 serology after COVID-19 in multiple sclerosis: An international cohort study

Author: Sormani, M. P., Schiavetti, I., Landi, D., Carmisciano, L., De Rossi, N., Cordioli, C., Moiola, L., Radaelli, M., Immovilli, P., Capobianco, M., Brescia Morra, V., Trojano, M., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Fragoso, Y. D., Sen, S., Siva, A., Furlan, R., Salvetti, M., Abbadessa, G., Aguglia, U., Allegorico, L., Allegri, R. B. M., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, R., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia, M. V., Brichetto, G., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Cavalla, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cocco, E., Cola, G., Confalonieri, P., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, M., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Ferraro, D., Ferro, M. T., Filippi, M., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Inglese, M., Iodice, R., Iovino, A., Konrad, G., Lanzillo, R., Lapucci, C., Lavorgna, L., L'Episcopo Maria, R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, Matteo, Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, T. G., Mantero, V., Marangoni, S., Marastoni, D., Marfia, A. G., Marinelli, F., Marti, A., Martinelli Boneschi, F., Masserano Zoli, F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, Massimiliano, Missione, R., Moccia, M., Montepietra, S., Monti Bragadin, M., Montini, F., Motta, R., Nardone, R., Nicoletti, C. G., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Perini, P., Pesci, I., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Ponzano, M., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scandellari, C., Scarano Giuditta, I., Scarano, V., Schillaci, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, L. E., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, C. V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., Zuliani, L., Lucchini M. (ORCID:0000-0002-0447-2297), Mirabella M. (ORCID:0000-0002-7783-114X), Sormani, M. P., Schiavetti, I., Landi, D., Carmisciano, L., De Rossi, N., Cordioli, C., Moiola, L., Radaelli, M., Immovilli, P., Capobianco, M., Brescia Morra, V., Trojano, M., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Fragoso, Y. D., Sen, S., Siva, A., Furlan, R., Salvetti, M., Abbadessa, G., Aguglia, U., Allegorico, L., Allegri, R. B. M., Amato, M. P., Annovazzi, P., Antozzi, C., Appendino, L., Arena, S., Baione, V., Balgera, R., Barcella, V., Baroncini, D., Barrila, C., Bellacosa, A., Bellucci, G., Bergamaschi, R., Bergamaschi, V., Bezzini, D., Biolzi, B., Bisecco, A., Bonavita, S., Borriello, G., Bosa, C., Bosco, A., Bovis, F., Bozzali, M., Brambilla, L., Brescia, M. V., Brichetto, G., Buccafusca, M., Bucciantini, E., Bucello, S., Buscarinu, M. C., Cabboi, M. P., Calabrese, M., Calabria, F., Caleri, F., Camilli, F., Caniatti, L. M., Cantello, R., Capra, R., Capuano, R., Carta, P., Cavalla, P., Celani, M. G., Cellerino, M., Cerqua, R., Chisari, C., Clerici, R., Clerico, M., Cocco, E., Cola, G., Confalonieri, P., Conte, A., Conti, M. Z., Cordano, C., Cordera, S., Corea, F., Correale, C., Cottone, S., Crescenzo, F., Curti, E., D'Ambrosio, A., D'Amico, E., Danni, M. C., D'Arma, A., Dattola, V., de Biase, S., De Luca, G., De Mercanti, S. F., De Mitri, P., De Stefano, N., Della Cava, M., di Napoli, M., Di Sapio, A., Docimo, R., Dutto, A., Evangelista, L., Fanara, S., Ferraro, D., Ferro, M. T., Filippi, M., Fioretti, C., Fratta, M., Frau, J., Fronza, M., Gajofatto, A., Gallo, A., Gallo, P., Gasperini, C., Ghazaryan, A., Giometto, B., Gobbin, F., Govone, F., Granella, F., Grange, E., Grasso, M. G., Guareschi, A., Guaschino, C., Guerrieri, S., Guidetti, D., Iaffaldano, P., Ianniello, A., Iasevoli, L., Imperiale, D., Infante, M. T., Inglese, M., Iodice, R., Iovino, A., Konrad, G., Lanzillo, R., Lapucci, C., Lavorgna, L., L'Episcopo Maria, R., Leva, S., Liberatore, G., Lo Re, M., Longoni, M., Lopiano, L., Lorefice, L., Lucchini, Matteo, Lus, G., Maimone, D., Malentacchi, M., Mallucci, G., Malucchi, S., Mancinelli, C. R., Mancinelli, L., Manganotti, P., Maniscalco, T. G., Mantero, V., Marangoni, S., Marastoni, D., Marfia, A. G., Marinelli, F., Marti, A., Martinelli Boneschi, F., Masserano Zoli, F., Matta, F., Mendozzi, L., Meucci, G., Miante, S., Miele, G., Milano, E., Mirabella, Massimiliano, Missione, R., Moccia, M., Montepietra, S., Monti Bragadin, M., Montini, F., Motta, R., Nardone, R., Nicoletti, C. G., Nobile-Orazio, E., Nozzolillo, A., Onofrj, M., Orlandi, R., Palmieri, A., Paolicelli, D., Pasquali, L., Pasto, L., Pedrazzoli, E., Perini, P., Pesci, I., Petracca, M., Petrone, A., Piantadosi, C., Pietroboni, A. M., Pinardi, F., Ponzano, M., Portaccio, E., Pozzato, M., Pozzilli, C., Prosperini, L., Protti, A., Ragonese, P., Rasia, S., Realmuto, S., Repice, A., Rigoni, E., Rilla, M. T., Rinaldi, F., Romano, C. M., Ronzoni, M., Rovaris, M., Ruscica, F., Sabattini, L., Salemi, G., Saraceno, L., Sartori, A., Sbragia, E., Scandellari, C., Scarano Giuditta, I., Scarano, V., Schillaci, V., Sessa, M., Sgarito, C., Sibilia, G., Siciliano, G., Signori, A., Signoriello, E., Sinisi, L., Sireci, F., Sola, P., Solaro, C., Sotgiu, S., Sparaco, M., Stromillo, M. L., Strumia, S., Susani, L. E., Tabiadon, G., Teatini, F., Tomassini, V., Tonietti, S., Torri, C. V., Tortorella, C., Toscano, S., Totaro, R., Trotta, M., Turano, G., Ulivelli, M., Valentino, M., Vaula, G., Vecchio, D., Vercellino, M., Verrengia, E. P., Vianello, M., Virgilio, E., Vitetta, F., Vollaro, S., Zaffaroni, M., Zampolini, M., Zarbo, I. R., Zito, A., Zuliani, L., Lucchini M. (ORCID:0000-0002-0447-2297), and Mirabella M. (ORCID:0000-0002-7783-114X)
Abstract: Background: The MuSC-19 project is an Italian cohort study open to international partners that collects data on multiple sclerosis (MS) patients with COVID-19. During the second wave of the pandemic, serological tests became routinely available. Objective: To evaluate the seroprevalence of anti-SARS-CoV-2 antibodies according to the use of disease-modifying therapy (DMT) in a subset of patients included in the MuSC-19 data set who had undergone a serological test. Methods: We evaluated the association between positive serological test results and time elapsed since infection onset, age, sex, Expanded Disability Status Scale score, comorbidities and DMT exposure using a multivariable logistic model. Results: Data were collected from 423 patients (345 from Italy, 61 from Turkey and 17 from Brazil) with a serological test performed during follow-up. Overall, 325 out of 423 tested patients (76.8%) had a positive serological test. At multivariate analysis, therapy with anti-CD20 was significantly associated with a reduced probability of developing antibodies after COVID-19 (odds ratio (OR) = 0.20, p = 0.002). Conclusion: Patients with MS maintain the capacity to develop humoral immune response against SARS-COV-2, although to a lesser extent when treated with anti-CD20 drugs. Overall, our results are reassuring with respect to the possibility to achieve sufficient immunization with vaccination.
Published: 2022

7. Disease modifying therapies and Covid‐19 severity in Multiple Sclerosis

Author: Sormani, M. P., De Rossi, N., Schiavetti, I., Carmisciano, L., Cordioli, C., Moiola, L., Radaelli, M., Immovilli, P., Capobianco, M., Trojano, M., Zaratin, P., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., the Musc-19 Study Group, Nozzolillo, A., Bellacosa, A., Protti, A., Di Sapio, A., Signori, A., Petrone, A., Bisecco, A., Iovino, A., Dutto, A., Repice, A. M., Conte, A., Bertolotto, A., Bosco, A., Gallo, A., Zito, A., Sartori, A., Giometto, B., Tortorella, C., Antozzi, C., Pozzilli, C., Mancinelli, C. R., Zanetta, C., Cordano, C., Scandellari, C., Guaschino, C., Gasperini, C., Solaro, C., Fioretti, C., Bezzini, D., Marastoni, D., Paolicelli, D., Vecchio, D., Landi, D., Bucciantini, E., Pedrazzoli, E., Signoriello, E., Sbragia, E., Susani, E. L., Curti, E., Milano, E., Marinelli, F., Camilli, F., Boneschi, F. M., Govone, F., Bovis, F., Calabria, F., Caleri, F., Rinaldi, F., Vitetta, F., Corea, F., Crescenzo, F., Teatini, F., Tabiadon, G., Granella, F., Boffa, G., Lus, G., Brichetto, G., Maniscalco, G. T., Borriello, G., De Luca, G., Konrad, G., Vaula, G., Marfia, G. A., Mallucci, G., Liberatore, G., Salemi, G., Miele, G., Sibilia, G., Pesci, I., Brambilla, L., Lopiano, L., Sinisi, L., Pasquali, L., Saraceno, L., Chiveri, L., Mancinelli, L., Grimaldi, L. M. E., Caniatti, L. M., Cava, M. D., Onofrj, M., Rovaris, M., Vercellino, M., Bragadin, M. M., Buccafusca, M., Buscarinu, M. C., Celani, M. G., Grasso, M. G., Stromillo, M. L., Petracca, M., Amato, M. P., L'Episcopo, M. R., Sessa, M., Ferrò, M. T., Ercolani, M. V., Bianco, M., M. L., Re, Vianello, M., Clerico, M., di Napoli, M., Ponzano, M., Conti, M. Z., Calabrese, M., Mirabella, M., Filippi, M., Inglese, M., Lucchini, M., Pozzato, M., Danni, M. C., Zaffaroni, M., Zampolini, M., Ponzio, M., De Riz, M., De Stefano, N., Cavalla, P., De Mitri, P., Grossi, P., Confalonieri, P., Gallo, P., Ragonese, P., Sola, P., Annovazzi, P., Iaffaldano, P., Nardone, R., Cerqua, R., Clerici, R., Lanzillo, R., Motta, R., Balgera, R., Bergamaschi, R., Totaro, R., Iodice, R., Capra, R., Marangoni, S., Realmuto, S., Cottone, S., Montepietra, S., Rasia, S., Arena, S., Bucello, S., Banfi, S., Bonavita, S., Malucchi, S., Tonietti, S., Vollaro, S., Cordera, S., Aguglia, U., Clerici, V. T., Barcella, V., Bergamaschi, V., Morra, V. B., Dattola, V., and Mantero, V.
Published: 2021

8. Disease-Modifying Therapies and Coronavirus Disease 2019 Severity in Multiple Sclerosis

Author: Sormani, M. P., De Rossi, N., Schiavetti, I., Carmisciano, L., Cordioli, C., Moiola, L., Radaelli, M., Immovilli, P., Capobianco, M., Trojano, M., Zaratin, P., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Nozzolillo, A., Bellacosa, A., Protti, A., Di Sapio, A., Signori, A., Petrone, A., Bisecco, A., Iovino, A., Dutto, A., Repice, A. M., Conte, A., Bertolotto, A., Bosco, A., Gallo, A., Zito, A., Sartori, A., Giometto, B., Tortorella, C., Antozzi, C., Pozzilli, C., Mancinelli, C. R., Zanetta, C., Cordano, C., Scandellari, C., Guaschino, C., Gasperini, C., Solaro, C., Fioretti, C., Bezzini, D., Marastoni, D., Paolicelli, D., Vecchio, D., Landi, D., Bucciantini, E., Pedrazzoli, E., Signoriello, E., Sbragia, E., Susani, E. L., Curti, E., Milano, E., Marinelli, F., Camilli, F., Boneschi, F. M., Govone, F., Bovis, F., Calabria, F., Caleri, F., Rinaldi, F., Vitetta, F., Corea, F., Crescenzo, F., Teatini, F., Tabiadon, G., Granella, F., Boffa, G., Lus, G., Brichetto, G., Maniscalco, G. T., Borriello, G., De Luca, G., Konrad, G., Vaula, G., Marfia, G. A., Mallucci, G., Liberatore, G., Salemi, G., Miele, G., Sibilia, G., Pesci, I., Brambilla, L., Lopiano, L., Sinisi, L., Pasquali, L., Saraceno, L., Chiveri, L., Mancinelli, L., Grimaldi, L. M. E., Caniatti, L. M., Cava, M. D., Onofrj, M., Rovaris, M., Vercellino, M., Bragadin, M. M., Buccafusca, M., Buscarinu, M. C., Celani, M. G., Grasso, M. G., Stromillo, M. L., Petracca, M., Amato, M. P., L'Episcopo, M. R., Sessa, M., Ferro, M. T., Ercolani, M. V., Bianco, M., Re, M. L., Vianello, M., Clerico, M., Ponzano, M., Conti, M. Z., Calabrese, M., Mirabella, Massimiliano, Filippi, M., Inglese, M., Lucchini, Matteo, Pozzato, M., Danni, M. C., Zaffaroni, M., Zampolini, M., Ponzio, M., De Riz, M., De Stefano, N., Cavalla, P., De Mitri, P., Grossi, P., Confalonieri, P., Gallo, P., Ragonese, P., Sola, P., Annovazzi, P., Iaffaldano, P., Nardone, R., Cerqua, R., Clerici, R., Lanzillo, R., Motta, R., Balgera, R., Bergamaschi, R., Totaro, R., Iodice, R., Capra, R., Marangoni, S., Realmuto, S., Cottone, S., Montepietra, S., Rasia, S., Arena, S., Bucello, S., Banfi, S., Bonavita, S., Malucchi, S., Tonietti, S., Vollaro, S., Cordera, S., Aguglia, U., Clerici, V. T., Barcella, V., Bergamaschi, V., Morra, V. B., Dattola, V., Mantero, V., di Napoli, M., Mirabella M. (ORCID:0000-0002-7783-114X), Lucchini M. (ORCID:0000-0002-0447-2297), Sormani, M. P., De Rossi, N., Schiavetti, I., Carmisciano, L., Cordioli, C., Moiola, L., Radaelli, M., Immovilli, P., Capobianco, M., Trojano, M., Zaratin, P., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., Nozzolillo, A., Bellacosa, A., Protti, A., Di Sapio, A., Signori, A., Petrone, A., Bisecco, A., Iovino, A., Dutto, A., Repice, A. M., Conte, A., Bertolotto, A., Bosco, A., Gallo, A., Zito, A., Sartori, A., Giometto, B., Tortorella, C., Antozzi, C., Pozzilli, C., Mancinelli, C. R., Zanetta, C., Cordano, C., Scandellari, C., Guaschino, C., Gasperini, C., Solaro, C., Fioretti, C., Bezzini, D., Marastoni, D., Paolicelli, D., Vecchio, D., Landi, D., Bucciantini, E., Pedrazzoli, E., Signoriello, E., Sbragia, E., Susani, E. L., Curti, E., Milano, E., Marinelli, F., Camilli, F., Boneschi, F. M., Govone, F., Bovis, F., Calabria, F., Caleri, F., Rinaldi, F., Vitetta, F., Corea, F., Crescenzo, F., Teatini, F., Tabiadon, G., Granella, F., Boffa, G., Lus, G., Brichetto, G., Maniscalco, G. T., Borriello, G., De Luca, G., Konrad, G., Vaula, G., Marfia, G. A., Mallucci, G., Liberatore, G., Salemi, G., Miele, G., Sibilia, G., Pesci, I., Brambilla, L., Lopiano, L., Sinisi, L., Pasquali, L., Saraceno, L., Chiveri, L., Mancinelli, L., Grimaldi, L. M. E., Caniatti, L. M., Cava, M. D., Onofrj, M., Rovaris, M., Vercellino, M., Bragadin, M. M., Buccafusca, M., Buscarinu, M. C., Celani, M. G., Grasso, M. G., Stromillo, M. L., Petracca, M., Amato, M. P., L'Episcopo, M. R., Sessa, M., Ferro, M. T., Ercolani, M. V., Bianco, M., Re, M. L., Vianello, M., Clerico, M., Ponzano, M., Conti, M. Z., Calabrese, M., Mirabella, Massimiliano, Filippi, M., Inglese, M., Lucchini, Matteo, Pozzato, M., Danni, M. C., Zaffaroni, M., Zampolini, M., Ponzio, M., De Riz, M., De Stefano, N., Cavalla, P., De Mitri, P., Grossi, P., Confalonieri, P., Gallo, P., Ragonese, P., Sola, P., Annovazzi, P., Iaffaldano, P., Nardone, R., Cerqua, R., Clerici, R., Lanzillo, R., Motta, R., Balgera, R., Bergamaschi, R., Totaro, R., Iodice, R., Capra, R., Marangoni, S., Realmuto, S., Cottone, S., Montepietra, S., Rasia, S., Arena, S., Bucello, S., Banfi, S., Bonavita, S., Malucchi, S., Tonietti, S., Vollaro, S., Cordera, S., Aguglia, U., Clerici, V. T., Barcella, V., Bergamaschi, V., Morra, V. B., Dattola, V., Mantero, V., di Napoli, M., Mirabella M. (ORCID:0000-0002-7783-114X), and Lucchini M. (ORCID:0000-0002-0447-2297)
Abstract: Objective: This study was undertaken to assess the impact of immunosuppressive and immunomodulatory therapies on the severity of coronavirus disease 2019 (COVID-19) in people with multiple sclerosis (PwMS). Methods: We retrospectively collected data of PwMS with suspected or confirmed COVID-19. All the patients had complete follow-up to death or recovery. Severe COVID-19 was defined by a 3-level variable: mild disease not requiring hospitalization versus pneumonia or hospitalization versus intensive care unit (ICU) admission or death. We evaluated baseline characteristics and MS therapies associated with severe COVID-19 by multivariate and propensity score (PS)-weighted ordinal logistic models. Sensitivity analyses were run to confirm the results. Results: Of 844 PwMS with suspected (n = 565) or confirmed (n = 279) COVID-19, 13 (1.54%) died; 11 of them were in a progressive MS phase, and 8 were without any therapy. Thirty-eight (4.5%) were admitted to an ICU; 99 (11.7%) had radiologically documented pneumonia; 96 (11.4%) were hospitalized. After adjusting for region, age, sex, progressive MS course, Expanded Disability Status Scale, disease duration, body mass index, comorbidities, and recent methylprednisolone use, therapy with an anti-CD20 agent (ocrelizumab or rituximab) was significantly associated (odds ratio [OR] = 2.37, 95% confidence interval [CI] = 1.18–4.74, p = 0.015) with increased risk of severe COVID-19. Recent use (<1 month) of methylprednisolone was also associated with a worse outcome (OR = 5.24, 95% CI = 2.20–12.53, p = 0.001). Results were confirmed by the PS-weighted analysis and by all the sensitivity analyses. Interpretation: This study showed an acceptable level of safety of therapies with a broad array of mechanisms of action. However, some specific elements of risk emerged. These will need to be considered while the COVID-19 pandemic persists. ANN NEUROL 2021;89:780–789.
Published: 2021

9. Pisa syndrome in Parkinson’s disease: demographic and clinical correlations in an Italian multicenter study: EP1137

Author: Juergenson, I. B., Geroin, C., Bombieri, F., Smania, N., Ottaviani, S., Bovi, T., Bisoffi, G., Mirandola, R., Canesi, M., Pezzoli, G., Ceravolo, R., Frosini, D., Rossi, S., Ulivelli, M., Thomas, A., Di Giacomo, R., Fabbrini, G., Sarchioto, M., Bentivoglio, A., Bove, F., Tamma, F., Lucchese, V., Cossu, G., Di Stefano, F., Pisani, A., Amadeo, G., Modugno, N., Zappia, M., Nicoletti, A., Volonté, M. A., Spagnolo, F., Sciaretta, M., Altavilla, T., Abbruzzese, G., Cordano, C., Pacchetti, C., Pozzi, N. G., Marconi, R., Gallerini, S., Mignarri, A., Allocca, R., Defazio, G., Morgante, F., Riccardi, L., Cannas, A., Solla, P., Vitale, C., Fasano, A., Barone, P., and Tinazzi, M.
Published: 2014

10. Pisa syndrome in Parkinson disease

Author: Tinazzi, M, Fasano, A, Geroin, C, Morgante, F, Ceravolo, R, Rossi, S, Thomas, A, Fabbrini, G, Bentivoglio, A, Tamma, F, Cossu, G, Modugno, N., Zappia, M, Volonte, MA, Dallocchio, C, Abbruzzese, G, Pacchetti, C, Marconi, R, Defazio, G, Canesi, M, Cannas, A, Pisani, A, Mirandola, R, Barone, P, Vitale, C, Allocca, R, Altavilla, T, Bisoffi, G, Bombieri, F, Bove, F, Bovi, T, Cerbarano, L, Cordano, C, Di Giacomo, R, Di Stefano, F, Erro, R, Gallerini, S, Gandolfi, M, Gigante, AF, Juergenson, I, Lena, F, Leocani, LM, Lucchese, V, Madeo, G, Mazzucchi, S, Moccia, Marcello, Nicoletti, A, Ottaviani, S, Pezzoli, G, Pozzi, N, Ricciardi, L, Santangelo, G, Sarchioto, M, Schena, F, Sciaretta, M, Smania, N, Solla, P, Spagnolo, F, Ulivelli, M., Tinazzi, M, Fasano, A, Geroin, C, Morgante, F, Ceravolo, R, Rossi, S, Thomas, A, Fabbrini, G, Bentivoglio, A, Tamma, F, Cossu, G, Modugno, N., Zappia, M, Volonte, Ma, Dallocchio, C, Abbruzzese, G, Pacchetti, C, Marconi, R, Defazio, G, Canesi, M, Cannas, A, Pisani, A, Mirandola, R, Barone, P, Vitale, C, Allocca, R, Altavilla, T, Bisoffi, G, Bombieri, F, Bove, F, Bovi, T, Cerbarano, L, Cordano, C, Di Giacomo, R, Di Stefano, F, Erro, R, Gallerini, S, Gandolfi, M, Gigante, Af, Juergenson, I, Lena, F, Leocani, Lm, Lucchese, V, Madeo, G, Mazzucchi, S, Moccia, Marcello, Nicoletti, A, Ottaviani, S, Pezzoli, G, Pozzi, N, Ricciardi, L, Santangelo, G, Sarchioto, M, Schena, F, Sciaretta, M, Smania, N, Solla, P, Spagnolo, F, and Ulivelli, M.
Subjects: Cross-Sectional Studie, Levodopa, Male, Dystonia, Italy, Female, Parkinson Disease, Syndrome, Cohort Studie, Middle Aged, Aged, Dopamine Agonist, Human
Published: 2015

11. Pisa syndrome in Parkinson disease

Author: Tinazzi, M., Fasano, Alfonso, Geroin, C., Morgante, F., Ceravolo, R., Rossi, S., Thomas, A., Fabbrini, G., Bentivoglio, Anna Rita, Tamma, F., Cossu, G., Modugno, N., Zappia, M., Volonte, M. A., Dallocchio, C., Abbruzzese, G., Pacchetti, C., Marconi, R., Defazio, G., Canesi, M., Cannas, A., Pisani, A., Mirandola, R., Barone, P., Vitale, C., Allocca, R., Altavilla, T., Bisoffi, G., Bombieri, F., Bove, F., Bovi, T., Cerbarano, L., Cordano, C., Di Giacomo, R., Di Stefano, F., Erro, R., Gallerini, S., Gandolfi, M., Gigante, A. F., Juergenson, I., Lena, F., Leocani, L. M., Lucchese, V., Madeo, G., Mazzucchi, S., Moccia, M., Nicoletti, A., Ottaviani, S., Pezzoli, G., Santangelo, G., Sarchioto, M., Schena, F., Sciarretta, M., Smania, N., Solla, P., Spagnolo, F., and Ulivelli, M.
Subjects: Male, Parkinson Disease, Syndrome, Middle Aged, Cohort Studies, Levodopa, Dystonia, Settore MED/26 - NEUROLOGIA, Cross-Sectional Studies, Italy, Dopamine Agonists, Humans, Female, Aged
Published: 2015

12. Agomelatine but not melatonin improves fatigue perception: A longitudinal proof-of-concept study

Author: Pardini, M., Cordano, C., Benassi, F., Mattei, C., Sassos, D., Guida, S., Serrati, C., Primavera, A., Amore, M., Cocito, L., and Emberti Gialloreti, L.
Published: 2014
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13. Pisa syndrome in Parkinson's disease: demographic and clinical correlations in an Italian Multicenter study

Author: Juergenson, Ib, Geroin, C, Bombieri, F, Smania, N, Ottaviani, S: Bovi, Bisoffi, G, Mirandola, R, Canesi, M, Pezzoli, G, Ceravolo, R, Frosini, D, Rossi, S, Ulivelli, M, Thomas, A, Di Giacomo, R, Fabbrini, G, Sarchioto, M, Bentivoglio, A, Bove, F, Tamma, F, Lucchese, V, Cossu, G, Di Stefano, F, Pisani, Antonina Maria, Amadeo, G, Modugno, N, Zappia, M, Nicoletti, A, Volonte, Ma, Spagnolo, F, Sciaretta, M, Altavilla, T, Abbruzzese, G, Cordano, C, Pacchetti, C, Pozzi, Ng, Marconi, R, Gallerini, S, Mignarri, A, Allocca, R, Defazio, G, Morgante, F, Riccardi, L, Cannas, A, Solla, P, Vitale, C, Fasano, A, Barone, P, and Tinazzi, M.
Published: 2014

14. Pisa Syndrome in Parkinson's disease: demographic and clinical correlations in a multicenter italian study

Author: Geroin, C, Tinazzi, M, Vitale, C, Bombieri, F, Juergenson, I, Smania, N, Schena, F, Ottaviani, S, Bisoffi, G, Mirandola, R, Canesi, M, Pezzoli, G, Ceravolo, R, Mazzucchi, S, Rossi, S, Ulivelli, M, Thomas, A, Di Giacomo, R, Fabbrini, G, Sarchioto, M, Bentivoglio, A, Bove, F, Tamma, F, Lucchese, V, Cossu, G, Di Stefano, F, Pisani, A, Amadeo, G, Modugno, N, Lena, F, Zappia, Mario, Nicoletti, Alessandra, Leocani, L, Volontè, A, Spagnolo, F, Dallocchio, C, Sciarretta, M, Altavilla, T, Abbruzzese, G, Cordano, C, Pacchetti, C, Pozzi, N, Marconi, R, Gallerini, S, Allocca, R, Defazio, G, Morgante, F, Ricciardi, L, Cannas, A, Solla, P, Fasano, A, and Barone, P.
Published: 2014

15. Pisa syndrome in parkinson’s disease: demographic and clinical correlations in a multi center italian study

Author: Tinazzi, M, Juergenson, I, Bombieri, F, Schena, F, Ottaviani, S, Bovi, T, Bisoffi, G, Uniati, C, Canesi, M, Pezzoli, G, Ceravolo, R, Frosini, D, Rossi, S, Ulivelli, M, Thomas, A, Di Giacomo, R, Fabbrini, G, Sachioto, M, Bentivoglio, A, Bove, F, Tamma, F, Lucchese, V, Cossu, G, Di Stefano, F, Pisani, A, Amadeo, G, Modugmo, N, Lena, F, Zappia, Mario, Raciti, L, Nicoletti, Alessandra, Volontè, M, Spagnolo, F, Dallocchio, C, Sciarretta, M, Altavilla, T, Abbruzzese, G, Cordano, C, Pacchetti, C, Pozzi, N, Marconi, R, Gallerini, S, Mignarri, A, Allocca, R, Defazio, G, Morgante, F, Ricciardi, L, Cannas, A, Solla, P, Vitale, C, Fasano, A, and Barone, P.
Published: 2013

16. OCT intra-retinal layer segmentation unveils grey and white matter pathology in primary progressive MS

Author: Boffa, G., Cellerino, M., Petracca, M., Schiavi, S., Cordano, C., Piaggio, N., giovanni luigi mancardi, Bommarito, G., Uccelli, A., and Inglese, M.

17. Brain activity during motor imagery in multiple sclerosis

Author: Brichetto, G., Tacchino, A., Teodorescu, R., Roccatagliata, L., Bommarito, G., Cordano, C., giovanni luigi mancardi, Inglese, M., and Battaglia, M. A.

18. Pisa syndrome in Parkinson disease: An observational multicenter Italian study

Author: Tinazzi, Michele, Fasano, Alfonso, Geroin, Christian, Morgante, Francesca, Ceravolo, Roberto, Rossi, Simone, Thomas, Astrid, Fabbrini, Giovanni, Bentivoglio, Annarita, Tamma, Filippo, Cossu, Giovanni, Modugno, Nicola, Zappia, Mario, Volontè, Maria Antonietta, Dallocchio, Carlo, Abbruzzese, Giovanni, Pacchetti, Claudio, Marconi, Roberto, Defazio, Giovanni, Canesi, Margherita, Cannas, Antonino, Pisani, Antonio, Mirandola, Rina, Barone, Paolo, Vitale, Carmine, Allocca, R, Altavilla, T, Bisoffi, G, Bombieri, F, Bove, F, Bovi, T, Cerbarano, L, Cordano, C, Di Giacomo, R, Di Stefano, F, Erro, R, Gallerini, S, Gandolfi, M, Gigante, Af, Juergenson, I, Lena, F, Leocani, Lm, Lucchese, V, Madeo, G, Mazzucchi, S, Moccia, M, Nicoletti, A, Ottaviani, S, Pezzoli, G, Pozzi, N, Ricciardi, L, Santangelo, G, Sarchioto, M, Schena, F, Sciarretta, M, Smania, N, Solla, P, Spagnolo, F, Ulivelli, M., Tinazzi, Michele, Fasano, Alfonso, Geroin, Christian, Morgante, Francesca, Ceravolo, Roberto, Rossi, Simone, Thomas, Astrid, Fabbrini, Giovanni, Bentivoglio, Annarita, Tamma, Filippo, Cossu, Giovanni, Modugno, Nicola, Zappia, Mario, Volonte, Maria Antonietta, Dallocchio, Carlo, Abbruzzese, Giovanni, Pacchetti, Claudio, Marconi, Roberto, Defazio, Giovanni, Canesi, Margherita, Cannas, Antonino, Pisani, Antonio, Mirandola, Rina, Barone, Paolo, Vitale, Carmine, On behalf of the ItalianPisa Syndrome, Studygroup, and Leocani, L
Subjects: Camptocormia, Parkinson's Disease, Kyphosis, Male, medicine.medical_specialty, Levodopa, Movement disorders, Cross-sectional study, assessment, Logistic regression, patients, Cohort Studies, Quality of life, Internal medicine, Neurology (clinical), progression, patient, flexion, Medicine, Humans, Aged, Cross-Sectional Studies, Dopamine Agonists, Dystonia, Female, Italy, Middle Aged, Parkinson Disease, Syndrome, Medicine (all), business.industry, pisa syndrome, parkinson's disease, Confidence interval, pisa syndrome, parkinson's disease, Physical therapy, Pisa syndrome, Parkinson disease, patients, assessment, Settore MED/26 - Neurologia, medicine.symptom, business, Complication, Cohort study, medicine.drug
Abstract: Objective: To estimate the prevalence of Pisa syndrome (PS) in patients with Parkinson disease (PD) and to assess the association between PS and demographic and clinical variables. Methods: In this multicenter cross-sectional study, consecutive outpatients with PD attending 21 movement disorders Italian tertiary centers were enrolled and underwent standardized clinical evaluation. PS was defined as trunk lateral deviation ≥10°. Patients with PD were compared according to the presence of PS for several demographic and clinical variables. Results: Among 1,631 enrolled patients with PD, PS was detected in 143 patients (8.8%, 95% confidence interval 7.4%–10.3%). Patients with PS were older, had lower body mass index, longer disease duration, higher disease stages, and poorer quality of life. Falls were more frequent in the PS group as well as occurrence of “veering gait” (i.e., the progressive deviation toward one side when patient walked forward and backward with eyes closed). Patients with PS received higher daily levodopa equivalent daily dose and were more likely to be treated with combination of levodopa and dopamine agonists. Osteoporosis and arthrosis were significantly the most frequent associated medical conditions in patients with PS. Multiple explanatory variable logistic regression models confirmed the association of PS with the following variables: Hoehn and Yahr stage, ongoing combined treatment with levodopa and dopamine agonist, associated medical conditions, and presence of veering gait. Conclusions: Our results suggest that PS is a relatively frequent and often disabling complication in PD, especially in the advanced disease stages. The association is dependent on a number of potentially relevant demographic and clinical variables.

19. Relationship between retinal layers thickness and disability worsening in relapsing and progressive multiple sclerosis

Author: Cellerino, M., Priano, L., Bruschi, N., Boffa, G., Petracca, M., Lapucci, C., Novi, G., Sbragia, E., Cordano, C., Capello, E., Antonio UCCELLI, and Inglese, M.

20. Pisa syndrome in Parkinson's disease: demographic and clinical correlations in an Italian Multicenter study

Author: Juergenson, I. B., Geroin, C., Bombieri, F., Smania, N., Ottaviani, S., Tommaso Bovi, Bisoffi, G., Mirandola, R., Canesi, M., Pezzoli, G., Ceravolo, R., Frosini, D., Rossi, S., Ulivelli, M., Thomas, A., Di Giacomo, R., Fabbrini, G., Sarchioto, M., Bentivoglio, A., Bove, F., Tamma, F., Lucchese, V., Cossu, G., Di Stefano, F., Pisani, A., Amadeo, G., Modugno, N., Zappia, M., Nicoletti, A., Volonte, M. A., Spagnolo, F., Sciaretta, M., Altavilla, T., Abbruzzese, G., Cordano, C., Pacchetti, C., Pozzi, N. G., Marconi, R., Gallerini, S., Mignarri, A., Allocca, R., Defazio, G., Morgante, F., Riccardi, L., Cannas, A., Solla, P., Vitale, C., Fasano, A., Barone, P., and Tinazzi, M.

21. Relationship between retinal inner nuclear layer thickness and age in progressive multiple sclerosis

Author: Cellerino, M., Cordano, C., Boffa, G., Bommarito, G., Petracca, M., Sbragia, E., Lapucci, C., Novi, G., Uccelli, A., and Matilde Inglese

22. Disease-Modifying Therapies and Coronavirus Disease 2019 Severity in Multiple Sclerosis

Author: Sormani, Maria P., Nicola De Rossi, Irene, Schiavetti, Luca, Carmisciano, Cinzia, Cordioli, Lucia, Moiola, Marta, Radaelli, Paolo, Immovilli, Marco, Capobianco, Maria, Trojano, Paola, Zaratin, Gioacchino, Tedeschi, Giancarlo, Comi, Battaglia, Mario A., Francesco, Patti, Marco, Salvetti, Agostino, Nozzolillo, Alessandra, Bellacosa, Alessandra, Protti, Alessia Di Sapio, Alessio, Signori, Alfredo, Petrone, Alvino, Bisecco, Aniello, Iovino, Anna, Dutto, Anna Maria Repice, Antonella, Conte, Antonio, Bertolotto, Antonio, Bosco, Antonio, Gallo, Antonio, Zito, Arianna, Sartori, Bruno, Giometto, Carla, Tortorella, Carlo, Antozzi, Carlo, Pozzilli, Chiara Rosa Mancinelli, Chiara, Zanetta, Christian, Cordano, Cinzia, Scandellari, Clara, Guaschino, Claudio, Gasperini, Claudio, Solaro, Cristina, Fioretti, Daiana, Bezzini, Damiano, Marastoni, Damiano, Paolicelli, Domizia, Vecchio, Doriana, Landi, Elisabetta, Bucciantini, Elisabetta, Pedrazzoli, Elisabetta, Signoriello, Elvira, Sbragia, Emanuela Laura Susani, Erica, Curti, Eva, Milano, Fabiana, Marinelli, Federico, Camilli, Filippo Martinelli Boneschi, Flora, Govone, Francesca, Bovis, Francesca, Calabria, Francesca, Caleri, Francesca, Rinaldi, Francesca, Vitetta, Francesco, Corea, Francesco, Crescenzo, Francesco, Teatini, Giulietta, Tabiadon, Franco, Granella, Giacomo, Boffa, Giacomo, Lus, Giampaolo, Brichetto, Giorgia Teresa Maniscalco, Giovanna, Borriello, Giovanna De Luca, Giovanna, Konrad, Giovanna, Vaula, Girolama Alessandra Marfia, Giulia, Mallucci, Giuseppe, Liberatore, Giuseppe, Salemi, Giuseppina, Miele, Grazia, Sibilia, Ilaria, Pesci, Laura, Brambilla, Leonardo, Lopiano, Leonardo, Sinisi, Pasquali, Livia, Lorenzo, Saraceno, Luca, Chiveri, Luca, Mancinelli, Grimaldi, Luigi M. E., Luisa Maria Caniatti, Marco Della Cava, Marco, Onofrj, Marco, Rovaris, Marco, Vercellino, Margherita Monti Bragadin, Maria, Buccafusca, Maria Chiara Buscarinu, Maria Grazia Celani, Maria Grazia Grasso, Maria Laura Stromillo, Maria, Petracca, Maria Pia Amato, Maria Pia Sormani, Maria Rita L'Episcopo, Maria, Sessa, Maria Teresa Ferrò, Maria Vittoria Ercolani, Mariangela, Bianco, Marianna Lo Re, Marika, Vianello, Marinella, Clerico, Mario Alberto Battaglia, Mario di Napoli, Marta, Ponzano, Marta Zaffira Conti, Massimiliano, Calabrese, Massimiliano, Mirabella, Massimo, Filippi, Matilde, Inglese, Matteo, Lucchini, Matteo, Pozzato, Maura Chiara Danni, Mauro, Zaffaroni, Mauro, Zampolini, Michela, Ponzio, Milena De Riz, Nicola De Stefano, Paola, Cavalla, Paola De Mitri, Paola, Grossi, Paolo, Confalonieri, Paolo, Gallo, Paolo, Ragonese, Patrizia, Sola, Pietro, Annovazzi, Pietro, Iaffaldano, Raffaele, Nardone, Raffaella, Cerqua, Raffaella, Clerici, Roberta, Lanzillo, Roberta, Motta, Roberto, Balgera, Roberto, Bergamaschi, Rocco, Totaro, Rosa, Iodice, Ruggero, Capra, Sabrina, Marangoni, Sabrina, Realmuto, Salvatore, Cottone, Sara, Montepietra, Sarah, Rasia, Sebastiano, Arena, Sebastiano, Bucello, Silvia, Banfi, Simona, Bonavita, Simona, Malucchi, Simone, Tonietti, Stefano, Vollaro, Susanna, Cordera, Umberto, Aguglia, Valentina Torri Clerici, Valeria, Barcella, Valeria, Bergamaschi, Vincenzo Brescia Morra, Vincenzo, Dattola, and Vittorio Mantero, Sormani, M. P., De Rossi, N., Schiavetti, I., Carmisciano, L., Cordioli, C., Moiola, L., Radaelli, M., Immovilli, P., Capobianco, M., Trojano, M., Zaratin, P., Tedeschi, G., Comi, G., Battaglia, M. A., Patti, F., Salvetti, M., P Sormani, Maria, De Rossi, Nicola, Schiavetti, Irene, Carmisciano, Luca, Cordioli, Cinzia, Moiola, Lucia, Radaelli, Marta, Immovilli, Paolo, Capobianco, Marco, Trojano, Maria, Zaratin, Paola, Tedeschi, Gioacchino, Comi, Giancarlo, A Battaglia, Mario, Patti, Francesco, Salvetti, Marco, Nozzolillo, Agostino, Bellacosa, Alessandra, Protti, Alessandra, Di Sapio, Alessia, Signori, Alessio, Petrone, Alfredo, Bisecco, Alvino, Iovino, Aniello, Dutto, Anna, Maria Repice, Anna, Conte, Antonella, Bertolotto, Antonio, Bosco, Antonio, Gallo, Antonio, Zito, Antonio, Sartori, Arianna, Giometto, Bruno, Tortorella, Carla, Antozzi, Carlo, Pozzilli, Carlo, Rosa Mancinelli, Chiara, Zanetta, Chiara, Cordano, Christian, Scandellari, Cinzia, Guaschino, Clara, Gasperini, Claudio, Solaro, Claudio, Fioretti, Cristina, Bezzini, Daiana, Marastoni, Damiano, Paolicelli, Damiano, Vecchio, Domizia, Landi, Doriana, Bucciantini, Elisabetta, Pedrazzoli, Elisabetta, Signoriello, Elisabetta, Sbragia, Elvira, Laura Susani, Emanuela, Curti, Erica, Milano, Eva, Marinelli, Fabiana, Camilli, Federico, Martinelli Boneschi, Filippo, Govone, Flora, Bovis, Francesca, Calabria, Francesca, Caleri, Francesca, Rinaldi, Francesca, Vitetta, Francesca, Corea, Francesco, Crescenzo, Francesco, Teatini, Francesco, Tabiadon, Giulietta, Granella, Franco, Boffa, Giacomo, Lus, Giacomo, Brichetto, Giampaolo, Teresa Maniscalco, Giorgia, Borriello, Giovanna, De Luca, Giovanna, Konrad, Giovanna, Vaula, Giovanna, Alessandra Marfia, Girolama, Mallucci, Giulia, Liberatore, Giuseppe, Salemi, Giuseppe, Miele, Giuseppina, Sibilia, Grazia, Pesci, Ilaria, Brambilla, Laura, Lopiano, Leonardo, Sinisi, Leonardo, Pasquali, Livia, Saraceno, Lorenzo, Chiveri, Luca, Mancinelli, Luca, E Grimaldi, Luigi M, Maria Caniatti, Luisa, Della Cava, Marco, Onofrj, Marco, Rovaris, Marco, Vercellino, Marco, Monti Bragadin, Margherita, Buccafusca, Maria, Chiara Buscarinu, Maria, Grazia Celani, Maria, Grazia Grasso, Maria, Laura Stromillo, Maria, Petracca, Maria, Pia Amato, Maria, Pia Sormani, Maria, Rita L'Episcopo, Maria, Sessa, Maria, Teresa Ferrò, Maria, Vittoria Ercolani, Maria, Bianco, Mariangela, Lo Re, Marianna, Vianello, Marika, Clerico, Marinella, Alberto Battaglia, Mario, di Napoli, Mario, Ponzano, Marta, Zaffira Conti, Marta, Calabrese, Massimiliano, Mirabella, Massimiliano, Filippi, Massimo, Inglese, Matilde, Lucchini, Matteo, Pozzato, Matteo, Chiara Danni, Maura, Zaffaroni, Mauro, Zampolini, Mauro, Ponzio, Michela, De Riz, Milena, De Stefano, Nicola, Cavalla, Paola, De Mitri, Paola, Grossi, Paola, Confalonieri, Paolo, Gallo, Paolo, Ragonese, Paolo, Sola, Patrizia, Annovazzi, Pietro, Iaffaldano, Pietro, Nardone, Raffaele, Cerqua, Raffaella, Clerici, Raffaella, Lanzillo, Roberta, Motta, Roberta, Balgera, Roberto, Bergamaschi, Roberto, Totaro, Rocco, Iodice, Rosa, Capra, Ruggero, Marangoni, Sabrina, Realmuto, Sabrina, Cottone, Salvatore, Montepietra, Sara, Rasia, Sarah, Arena, Sebastiano, Bucello, Sebastiano, Banfi, Silvia, Bonavita, Simona, Malucchi, Simona, Tonietti, Simone, Vollaro, Stefano, Cordera, Susanna, Aguglia, Umberto, Torri Clerici, Valentina, Barcella, Valeria, Bergamaschi, Valeria, Brescia Morra, Vincenzo, Dattola, Vincenzo, Mantero, Vittorio, Mp, Sormani, N, De Rossi, I, Schiavetti, L, Carmisciano, C, Cordioli, L, Moiola, M, Radaelli, P, Immovilli, M, Capobianco, M, Trojano, P, Zaratin, G, Tedeschi, G, Comi, Ma, Battaglia, F, Patti, M, Salvetti, Study Group Agostino Nozzolillo, Musc-19, Grimaldi, Luigi M. E., Vittorio Mantero, And, Nozzolillo, A., Bellacosa, A., Protti, A., Di Sapio, A., Signori, A., Petrone, A., Bisecco, A., Iovino, A., Dutto, A., Repice, A. M., Conte, A., Bertolotto, A., Bosco, A., Gallo, A., Zito, A., Sartori, A., Giometto, B., Tortorella, C., Antozzi, C., Pozzilli, C., Mancinelli, C. R., Zanetta, C., Cordano, C., Scandellari, C., Guaschino, C., Gasperini, C., Solaro, C., Fioretti, C., Bezzini, D., Marastoni, D., Paolicelli, D., Vecchio, D., Landi, D., Bucciantini, E., Pedrazzoli, E., Signoriello, E., Sbragia, E., Susani, E. L., Curti, E., Milano, E., Marinelli, F., Camilli, F., Boneschi, F. M., Govone, F., Bovis, F., Calabria, F., Caleri, F., Rinaldi, F., Vitetta, F., Corea, F., Crescenzo, F., Teatini, F., Tabiadon, G., Granella, F., Boffa, G., Lus, G., Brichetto, G., Maniscalco, G. T., Borriello, G., De Luca, G., Konrad, G., Vaula, G., Marfia, G. A., Mallucci, G., Liberatore, G., Salemi, G., Miele, G., Sibilia, G., Pesci, I., Brambilla, L., Lopiano, L., Sinisi, L., Pasquali, L., Saraceno, L., Chiveri, L., Mancinelli, L., Grimaldi, L. M. E., Caniatti, L. M., Cava, M. D., Onofrj, M., Rovaris, M., Vercellino, M., Bragadin, M. M., Buccafusca, M., Buscarinu, M. C., Celani, M. G., Grasso, M. G., Stromillo, M. L., Petracca, M., Amato, M. P., L'Episcopo, M. R., Sessa, M., Ferro, M. T., Ercolani, M. V., Bianco, M., Re, M. L., Vianello, M., Clerico, M., di Napoli, M., Ponzano, M., Conti, M. Z., Calabrese, M., Mirabella, M., Filippi, M., Inglese, M., Lucchini, M., Pozzato, M., Danni, M. C., Zaffaroni, M., Zampolini, M., Ponzio, M., De Riz, M., De Stefano, N., Cavalla, P., De Mitri, P., Grossi, P., Confalonieri, P., Gallo, P., Ragonese, P., Sola, P., Annovazzi, P., Iaffaldano, P., Nardone, R., Cerqua, R., Clerici, R., Lanzillo, R., Motta, R., Balgera, R., Bergamaschi, R., Totaro, R., Iodice, R., Capra, R., Marangoni, S., Realmuto, S., Cottone, S., Montepietra, S., Rasia, S., Arena, S., Bucello, S., Banfi, S., Bonavita, S., Malucchi, S., Tonietti, S., Vollaro, S., Cordera, S., Aguglia, U., Clerici, V. T., Barcella, V., Bergamaschi, V., Morra, V. B., Dattola, V., Mantero, V., Sormani M.P., De Rossi N., Schiavetti I., Carmisciano L., Cordioli C., Moiola L., Radaelli M., Immovilli P., Capobianco M., Trojano M., Zaratin P., Tedeschi G., Comi G., Battaglia M.A., Patti F., Salvetti M., Nozzolillo A., Bellacosa A., Protti A., Di Sapio A., Signori A., Petrone A., Bisecco A., Iovino A., Dutto A., Repice A.M., Conte A., Bertolotto A., Bosco A., Gallo A., Zito A., Sartori A., Giometto B., Tortorella C., Antozzi C., Pozzilli C., Mancinelli C.R., Zanetta C., Cordano C., Scandellari C., Guaschino C., Gasperini C., Solaro C., Fioretti C., Bezzini D., Marastoni D., Paolicelli D., Vecchio D., Landi D., Bucciantini E., Pedrazzoli E., Signoriello E., Sbragia E., Susani E.L., Curti E., Milano E., Marinelli F., Camilli F., Boneschi F.M., Govone F., Bovis F., Calabria F., Caleri F., Rinaldi F., Vitetta F., Corea F., Crescenzo F., Teatini F., Tabiadon G., Granella F., Boffa G., Lus G., Brichetto G., Maniscalco G.T., Borriello G., De Luca G., Konrad G., Vaula G., Marfia G.A., Mallucci G., Liberatore G., Salemi G., Miele G., Sibilia G., Pesci I., Brambilla L., Lopiano L., Sinisi L., Pasquali L., Saraceno L., Chiveri L., Mancinelli L., Grimaldi L.M.E., Caniatti L.M., Cava M.D., Onofrj M., Rovaris M., Vercellino M., Bragadin M.M., Buccafusca M., Buscarinu M.C., Celani M.G., Grasso M.G., Stromillo M.L., Petracca M., Amato M.P., L'Episcopo M.R., Sessa M., Ferro M.T., Ercolani M.V., Bianco M., Re M.L., Vianello M., Clerico M., di Napoli M., Ponzano M., Conti M.Z., Calabrese M., Mirabella M., Filippi M., Inglese M., Lucchini M., Pozzato M., Danni M.C., Zaffaroni M., Zampolini M., Ponzio M., De Riz M., De Stefano N., Cavalla P., De Mitri P., Grossi P., Confalonieri P., Gallo P., Ragonese P., Sola P., Annovazzi P., Iaffaldano P., Nardone R., Cerqua R., Clerici R., Lanzillo R., Motta R., Balgera R., Bergamaschi R., Totaro R., Iodice R., Capra R., Marangoni S., Realmuto S., Cottone S., Montepietra S., Rasia S., Arena S., Bucello S., Banfi S., Bonavita S., Malucchi S., Tonietti S., Vollaro S., Cordera S., Aguglia U., Clerici V.T., Barcella V., Bergamaschi V., Morra V.B., Dattola V., and Mantero V.
Subjects: Male, 0301 basic medicine, Dimethyl Fumarate, Neurodegenerative, multiple sclerosis, coronavirus, pneumonia, Severity of Illness Index, law.invention, Immunosuppressive Agent, Immunologic Factor, 0302 clinical medicine, Natalizumab, law, Monoclonal, Multiple Sclerosi, 80 and over, Lung, Humanized, Research Articles, Aged, 80 and over, Middle Aged, Intensive care unit, Hospitalization, Settore MED/26 - NEUROLOGIA, Intensive Care Units, Neurology, Methylprednisolone, Neurological, Pneumonia & Influenza, Interferon, Female, Immunosuppressive Agents, Research Article, Human, medicine.drug, Adult, medicine.medical_specialty, Musc-19 Study Group, Multiple Sclerosis, Adolescent, Clinical Sciences, Intensive Care Unit, Clinical Neurology, Settore MED/26, Antibodies, Monoclonal, Humanized, Autoimmune Disease, Antibodies, Young Adult, 03 medical and health sciences, Clinical Research, Internal medicine, Severity of illness, medicine, Humans, Immunologic Factors, Mortality, Aged, COVID-19, Fingolimod Hydrochloride, Interferons, SARS-CoV-2, Neurology & Neurosurgery, Expanded Disability Status Scale, business.industry, Multiple sclerosis, Neurosciences, Pneumonia, Odds ratio, medicine.disease, Brain Disorders, Good Health and Well Being, 030104 developmental biology, Ocrelizumab, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract: Objective: This study was undertaken to assess the impact of immunosuppressive and immunomodulatory therapies on the severity of coronavirus disease 2019 (COVID-19) in people with multiple sclerosis (PwMS). Methods: We retrospectively collected data of PwMS with suspected or confirmed COVID-19. All the patients had complete follow-up to death or recovery. Severe COVID-19 was defined by a 3-level variable: mild disease not requiring hospitalization versus pneumonia or hospitalization versus intensive care unit (ICU) admission or death. We evaluated baseline characteristics and MS therapies associated with severe COVID-19 by multivariate and propensity score (PS)-weighted ordinal logistic models. Sensitivity analyses were run to confirm the results. Results: Of 844 PwMS with suspected (n = 565) or confirmed (n = 279) COVID-19, 13 (1.54%) died; 11 of them were in a progressive MS phase, and 8 were without any therapy. Thirty-eight (4.5%) were admitted to an ICU; 99 (11.7%) had radiologically documented pneumonia; 96 (11.4%) were hospitalized. After adjusting for region, age, sex, progressive MS course, Expanded Disability Status Scale, disease duration, body mass index, comorbidities, and recent methylprednisolone use, therapy with an anti-CD20 agent (ocrelizumab or rituximab) was significantly associated (odds ratio [OR] = 2.37, 95% confidence interval [CI] = 1.18–4.74, p = 0.015) with increased risk of severe COVID-19. Recent use (
Published: 2021

23. Electroretinographic assessment in major depressed patients receiving duloxetine: Might differences between responders and non-responders indicate a differential biological background?

Author: Fornaro M, Bandini F, Ogliastro C, Cordano C, Martino M, Cestari L, Escelsior A, Rocchi G, Colicchio S, and Perugi G
Published: 2011

24. Retinal thickness measured with optical coherence tomography and risk of disability worsening in multiple sclerosis: a cohort study

Author: Teresa C. Frohman, Lisanne J. Balk, Patrick Vermersch, Jennifer Resto, Clare L. Fraser, Shiv Saidha, Letizia Leocani, Elena H. Martinez-Lapiscina, Elena García-Martín, Friedemann Paul, P. Albrecht, Ines Gonzalez, Elliot M. Frohman, Bernardo Sanchez-Dalmau, Alexander Klistorner, Simone Guerrieri, Laura J. Balcer, Sam Arnow, Sven Schippling, Sebastian Lukas, Peter A. Calabresi, Giancarlo Comi, Wesley Chan, Luis E. Pablo, Ari J. Green, Celia Oreja-Guevara, Timm Oberwahrenbrock, Christian Cordano, James A. Wilson, Ann Kristin Mueller, Albert Saiz, Eva Havrdova, Orhan Aktas, Fiona Costello, Magi Andorra, Olivier Outteryck, Axel Petzold, Jana Lizrova Preiningerova, Jette L. Frederiksen, Irati Zubizarreta, Pablo Villoslada, Alexander U. Brandt, Robert A. Bermel, Martinez Lapiscina, Eh, Arnow, S, Wilson, Ja, Saidha, S, Preiningerova, Jl, Oberwahrenbrock, T, Brandt, Au, Pablo, Le, Guerrieri, S, Gonzalez, I, Outteryck, O, Mueller, Ak, Albrecht, P, Chan, W, Lukas, S, Balk, Lj, Fraser, C, Frederiksen, Jl, Resto, J, Frohman, T, Cordano, C, Zubizarreta, I, Andorra, M, Sanchez Dalmau, B, Saiz, A, Bermel, R, Klistorner, A, Petzold, A, Schippling, S, Costello, F, Aktas, O, Vermersch, P, Oreja Guevara, C, Comi, Giancarlo, Leocani, ANNUNZIATA MARIA LETIZIA, Garcia Martin, E, Paul, F, Havrdova, E, Frohman, E, Balcer, Lj, Green, Aj, Calabresi, Pa, Villoslada, P., Amsterdam Neuroscience - Neuroinfection & -inflammation, Neurology, and Ophthalmology
Subjects: Adult, Male, 0301 basic medicine, medicine.medical_specialty, Multiple Sclerosis, genetic structures, Neuritis, Severity of Illness Index, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Retinal Diseases, Ophthalmology, medicine, Humans, Macula Lutea, Optic neuritis, Expanded Disability Status Scale, Clinically isolated syndrome, business.industry, Multiple sclerosis, Hazard ratio, Middle Aged, Prognosis, medicine.disease, eye diseases, Surgery, 030104 developmental biology, Cohort, Disease Progression, Female, sense organs, Neurology (clinical), business, Tomography, Optical Coherence, 030217 neurology & neurosurgery, Follow-Up Studies, Retinal Neurons, Cohort study
Abstract: Summary Background Most patients with multiple sclerosis without previous optic neuritis have thinner retinal layers than healthy controls. We assessed the role of peripapillary retinal nerve fibre layer (pRNFL) thickness and macular volume in eyes with no history of optic neuritis as a biomarker of disability worsening in a cohort of patients with multiple sclerosis who had at least one eye without optic neuritis available. Methods In this multicentre, cohort study, we collected data about patients (age ≥16 years old) with clinically isolated syndrome, relapsing-remitting multiple sclerosis, and progressive multiple sclerosis. Patients were recruited from centres in Spain, Italy, France, Germany, Czech Republic, Netherlands, Canada, and the USA, with the first cohort starting in 2008 and the latest cohort starting in 2013. We assessed disability worsening using the Expanded Disability Status Scale (EDSS). The pRNFL thickness and macular volume were assessed once at study entry (baseline) by optical coherence tomography (OCT) and was calculated as the mean value of both eyes without optic neuritis for patients without a history of optic neuritis or the value of the non-optic neuritis eye for patients with previous unilateral optic neuritis. Researchers who did the OCT at baseline were masked to EDSS results and the researchers assessing disability with EDSS were masked to OCT results. We estimated the association of pRNFL thickness or macular volume at baseline in eyes without optic neuritis with the risk of subsequent disability worsening by use of proportional hazards models that included OCT metrics and age, disease duration, disability, presence of previous unilateral optic neuritis, and use of disease-modifying therapies as covariates. Findings 879 patients with clinically isolated syndrome (n=74), relapsing-remitting multiple sclerosis (n=664), or progressive multiple sclerosis (n=141) were included in the primary analyses. Disability worsening occurred in 252 (29%) of 879 patients with multiple sclerosis after a median follow-up of 2·0 years (range 0·5–5 years). Patients with a pRNFL of less than or equal to 87 μm or less than or equal to 88 μm (measured with Spectralis or Cirrus OCT devices) had double the risk of disability worsening at any time after the first and up to the third years of follow-up (hazard ratio 2·06, 95% CI 1·36–3·11; p=0·001), and the risk was increased by nearly four times after the third and up to the fifth years of follow-up (3·81, 1·63–8·91; p=0·002). We did not identify meaningful associations for macular volume. Interpretation Our results provide evidence of the usefulness of monitoring pRNFL thickness by OCT for prediction of the risk of disability worsening with time in patients with multiple sclerosis. Funding Instituto de Salud Carlos III.
Published: 2016

25. Remyelination protects neurons from DLK-mediated neurodegeneration.

Author: Duncan GJ, Ingram SD, Emberley K, Hill J, Cordano C, Abdelhak A, McCane M, Jenks JE, Jabassini N, Ananth K, Ferrara SJ, Stedelin B, Sivyer B, Aicher SA, Scanlan TS, Watkins TA, Mishra A, Nelson JW, Green AJ, and Emery B
Subjects: Animals, Mice, Phosphorylation, Disease Models, Animal, Myelin Sheath metabolism, Mice, Inbred C57BL, Male, Oligodendroglia metabolism, Oligodendroglia pathology, Axons metabolism, Axons pathology, Female, Microglia metabolism, Microglia pathology, Microglia drug effects, Remyelination, Neurons metabolism, Neurons drug effects, Demyelinating Diseases metabolism, Demyelinating Diseases pathology, Apoptosis drug effects, MAP Kinase Kinase Kinases metabolism, MAP Kinase Kinase Kinases genetics
Abstract: Chronic demyelination and oligodendrocyte loss deprive neurons of crucial support. It is the degeneration of neurons and their connections that drives progressive disability in demyelinating disease. However, whether chronic demyelination triggers neurodegeneration and how it may do so remain unclear. We characterize two genetic mouse models of inducible demyelination, one distinguished by effective remyelination and the other by remyelination failure and chronic demyelination. While both demyelinating lines feature axonal damage, mice with blocked remyelination have elevated neuronal apoptosis and altered microglial inflammation, whereas mice with efficient remyelination do not feature neuronal apoptosis and have improved functional recovery. Remyelination incapable mice show increased activation of kinases downstream of dual leucine zipper kinase (DLK) and phosphorylation of c-Jun in neuronal nuclei. Pharmacological inhibition or genetic disruption of DLK block c-Jun phosphorylation and the apoptosis of demyelinated neurons. Together, we demonstrate that remyelination is associated with neuroprotection and identify DLK inhibition as protective strategy for chronically demyelinated neurons., (© 2024. The Author(s).)
Published: 2024
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26. Activation of Shh/Smo is sufficient to maintain oligodendrocyte precursor cells in an undifferentiated state and is not necessary for myelin formation and (re)myelination.

Author: Nocera S, Marchena MA, Fernández-Gómez B, Gómez-Martín P, Sánchez-Jiménez E, Macías-Castellano A, Laó Y, Cordano C, Gómez-Torres Ó, Luján R, and de Castro F
Subjects: Animals, Veratrum Alkaloids pharmacology, Mice, Remyelination physiology, Remyelination drug effects, Oligodendroglia metabolism, Oligodendroglia drug effects, Oligodendroglia physiology, Mice, Inbred C57BL, Signal Transduction physiology, Signal Transduction drug effects, Hedgehog Proteins metabolism, Oligodendrocyte Precursor Cells metabolism, Oligodendrocyte Precursor Cells drug effects, Smoothened Receptor metabolism, Smoothened Receptor genetics, Myelin Sheath metabolism, Mice, Transgenic, Cell Differentiation physiology, Cell Differentiation drug effects
Abstract: Myelination is the terminal step in a complex and precisely timed program that orchestrates the proliferation, migration and differentiation of oligodendroglial cells. It is thought that Sonic Hedgehog (Shh) acting on Smoothened (Smo) participates in regulating this process, but that these effects are highly context dependent. Here, we investigate oligodendroglial development and remyelination from three specific transgenic lines: NG2-Cre ERT2 (control), Smo fl/fl /NG2-Cre ERT2 (loss of function), and SmoM2/NG2-Cre ERT2 (gain of function), as well as pharmacological manipulation that enhance or inhibit the Smo pathway (Smoothened Agonist (SAG) or cyclopamine treatment, respectively). To explore the effects of Shh/Smo on differentiation and myelination in vivo, we developed a highly quantifiable model by transplanting oligodendrocyte precursor cells (OPCs) in the retina. We find that myelination is greatly enhanced upon cyclopamine treatment and hypothesize that Shh/Smo could promote OPC proliferation to subsequently inhibit differentiation. Consistent with this hypothesis, we find that the genetic activation of Smo significantly increased numbers of OPCs and decreased oligodendrocyte differentiation when we examined the corpus callosum during development and after cuprizone demyelination and remyelination. However, upon loss of function with the conditional ablation of Smo, myelination in the same scenarios are unchanged. Taken together, our present findings suggest that the Shh pathway is sufficient to maintain OPCs in an undifferentiated state, but is not necessary for myelination and remyelination., (© 2024 The Authors. GLIA published by Wiley Periodicals LLC.)
Published: 2024
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27. Targeting complement C3a receptor resolves mitochondrial hyperfusion and subretinal microglial activation in progranulin-deficient frontotemporal dementia.

Author: Tan LX, Oertel FC, Cheng A, Cobigo Y, Keihani A, Bennett DJ, Abdelhak A, Montes SC, Chapman M, Chen RY, Cordano C, Ward ME, Casaletto K, Kramer JH, Rosen HJ, Boxer A, Miller BL, Green AJ, Elahi FM, and Lakkaraju A
Abstract: Mutations in progranulin ( GRN ) cause frontotemporal dementia ( GRN -FTD) due to deficiency of the pleiotropic protein progranulin. GRN -FTD exhibits diverse pathologies including lysosome dysfunction, lipofuscinosis, microgliosis, and neuroinflammation. Yet, how progranulin loss causes disease remains unresolved. Here, we report that non-invasive retinal imaging of GRN -FTD patients revealed deficits in photoreceptors and the retinal pigment epithelium (RPE) that correlate with cognitive decline. Likewise, Grn -/- mice exhibit early RPE dysfunction, microglial activation, and subsequent photoreceptor loss. Super-resolution live imaging and transcriptomic analyses identified RPE mitochondria as an early driver of retinal dysfunction. Loss of mitochondrial fission protein 1 (MTFP1) in Grn -/- RPE causes mitochondrial hyperfusion and bioenergetic defects, leading to NF-kB-mediated activation of complement C3a-C3a receptor signaling, which drives further mitochondrial hyperfusion and retinal inflammation. C3aR antagonism restores RPE mitochondrial integrity and limits subretinal microglial activation. Our study identifies a previously unrecognized mechanism by which progranulin modulates mitochondrial integrity and complement-mediated neuroinflammation.
Published: 2024
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28. Synaptic injury in the inner plexiform layer of the retina is associated with progression in multiple sclerosis.

Author: Cordano C, Werneburg S, Abdelhak A, Bennett DJ, Beaudry-Richard A, Duncan GJ, Oertel FC, Boscardin WJ, Yiu HH, Jabassini N, Merritt L, Nocera S, Sin JH, Samana IP, Condor Montes SY, Ananth K, Bischof A, Nourbakhsh B, Hauser SL, Cree BAC, Emery B, Schafer DP, Chan JR, and Green AJ
Subjects: Animals, Humans, Retina pathology, Neurons pathology, Models, Animal, Atrophy pathology, Multiple Sclerosis pathology
Abstract: While neurodegeneration underlies the pathological basis for permanent disability in multiple sclerosis (MS), predictive biomarkers for progression are lacking. Using an animal model of chronic MS, we find that synaptic injury precedes neuronal loss and identify thinning of the inner plexiform layer (IPL) as an early feature of inflammatory demyelination-prior to symptom onset. As neuronal domains are anatomically segregated in the retina and can be monitored longitudinally, we hypothesize that thinning of the IPL could represent a biomarker for progression in MS. Leveraging our dataset with over 800 participants enrolled for more than 12 years, we find that IPL atrophy directly precedes progression and propose that synaptic loss is predictive of functional decline. Using a blood proteome-wide analysis, we demonstrate a strong correlation between demyelination, glial activation, and synapse loss independent of neuroaxonal injury. In summary, monitoring synaptic injury is a biologically relevant approach that reflects a potential driver of progression., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
Published: 2024
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29. Scientific commentary on: "Phosphorylated tau in the retina correlates with tau pathology in the brain in Alzheimer's disease and primary tauopathies".

Author: Oertel FC, Casillas D, Cobigo Y, Condor Montes S, Heuer HW, Chapman M, Beaudry-Richard A, Reinsberg H, Abdelhak A, Cordano C, Boeve BF, Dickerson BC, Grossman M, Huey E, Irwin DJ, Litvan I, Pantelyat A, Tartaglia MC, Vandevrede L, Boxer A, and Green AJ
Subjects: Humans, tau Proteins metabolism, Brain pathology, Retina pathology, Alzheimer Disease pathology, Tauopathies pathology
Published: 2024
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30. Serum sickness in a multiple sclerosis patient treated with ocrelizumab.

Author: Mantero V, Cordano C, Balgera R, Basilico P, Novi G, and Salmaggi A
Subjects: Humans, Antibodies, Monoclonal, Humanized adverse effects, Immunologic Factors adverse effects, Multiple Sclerosis complications, Multiple Sclerosis drug therapy, Serum Sickness, Multiple Sclerosis, Relapsing-Remitting complications, Multiple Sclerosis, Relapsing-Remitting drug therapy, Multiple Sclerosis, Chronic Progressive
Published: 2024
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31. Neurofilament Light Chain Elevation and Disability Progression in Multiple Sclerosis.

Author: Abdelhak A, Benkert P, Schaedelin S, Boscardin WJ, Cordano C, Oechtering J, Ananth K, Granziera C, Melie-Garcia L, Montes SC, Beaudry-Richard A, Achtnichts L, Oertel FC, Lalive PH, Leppert D, Müller S, Henry RG, Pot C, Matthias A, Salmen A, Oksenberg JR, Disanto G, Zecca C, D'Souza M, Du Pasquier R, Bridel C, Gobbi C, Kappos L, Hauser SL, Cree BAC, Kuhle J, and Green AJ
Subjects: Adult, Female, Humans, Biomarkers blood, Cohort Studies, Disease Progression, Multiple Sclerosis, Relapsing-Remitting, Recurrence, Multiple Sclerosis diagnostic imaging, Multiple Sclerosis physiopathology, Neurofilament Proteins blood, Disability Evaluation
Abstract: Importance: Mechanisms contributing to disability accumulation in multiple sclerosis (MS) are poorly understood. Blood neurofilament light chain (NfL) level, a marker of neuroaxonal injury, correlates robustly with disease activity in people with MS (MS); however, data on the association between NfL level and disability accumulation have been conflicting., Objective: To determine whether and when NfL levels are elevated in the context of confirmed disability worsening (CDW)., Design, Setting, and Participants: This study included 2 observational cohorts: results from the Expression, Proteomics, Imaging, Clinical (EPIC) study at the University of California San Francisco (since 2004) were confirmed in the Swiss Multiple Sclerosis Cohort (SMSC), a multicenter study in 8 centers since 2012. Data were extracted from EPIC in April 2022 (sampling July 1, 2004, to December 20, 2016) and SMSC in December 2022 (sampling June 6, 2012, to September 2, 2021). The study included 2 observational cohorts in tertiary MS centers. All participants of both cohorts with available NfL results were included in the study, and no eligible participants were excluded or declined to participate., Exposure: Association between NfL z scores and CDW., Main Outcome Measures: CDW was defined as Expanded Disability Status Scale (EDSS) worsening that was confirmed after 6 or more months and classified into CDW associated with clinical relapses (CDW-R) or independent of clinical relapses (CDW-NR). Visits were classified in relation to the disability worsening events into CDW(-2) for 2 visits preceding event, CDW(-1) for directly preceding event, CDW(event) for first diagnosis of EDSS increase, and the confirmation visit. Mixed linear and Cox regression models were used to evaluate NfL dynamics and to assess the association of NfL with future CDW, respectively., Results: A total of 3906 EPIC visits (609 participants; median [IQR] age, 42.0 [35.0-50.0] years; 424 female [69.6%]) and 8901 SMSC visits (1290 participants; median [IQR] age, 41.2 [32.5-49.9] years; 850 female [65.9%]) were included. In CDW-R (EPIC, 36 events; SMSC, 93 events), NfL z scores were 0.71 (95% CI, 0.35-1.07; P < .001) units higher at CDW-R(-1) in EPIC and 0.32 (95% CI, 0.14-0.49; P < .001) in SMSC compared with stable MS samples. NfL elevation could be detected preceding CDW-NR (EPIC, 191 events; SMSC, 342 events) at CDW-NR(-2) (EPIC: 0.23; 95% CI, 0.01-0.45; P = .04; SMSC: 0.28; 95% CI, 0.18-0.37; P < .001) and at CDW-NR(-1) (EPIC: 0.27; 95% CI, 0.11-0.44; P < .001; SMSC: 0.09; 95% CI, 0-0.18; P = .06). Those findings were replicated in the subgroup with relapsing-remitting MS. Time-to-event analysis confirmed the association between NfL levels and future CDW-R within approximately 1 year and CDW-NR (in approximately 1-2 years)., Conclusions and Relevance: This cohort study documents the occurrence of NfL elevation in advance of clinical worsening and may hint to a potential window of ongoing dynamic central nervous system pathology that precedes the diagnosis of CDW.
Published: 2023
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32. Flu-like syndrome due to interferon-beta injections does not increase anxiety, depression, and lost working days in multiple sclerosis patients during the Sars-CoV-2 pandemic.

Author: Mantero V, Basilico P, Balgera R, Rigamonti A, Sozzi M, Salmaggi A, and Cordano C
Subjects: Humans, Interferon-beta adverse effects, SARS-CoV-2, Natalizumab therapeutic use, Depression epidemiology, Depression diagnosis, Pandemics, Anxiety chemically induced, Anxiety epidemiology, Anxiety diagnosis, Multiple Sclerosis drug therapy, Antipyretics therapeutic use, COVID-19 epidemiology
Abstract: Background and Purpose: Aim of this study was to evaluated anxiety, depression, and possible negative implications on work activities during the Sars-CoV-2 pandemic, in a group of Multiple Sclerosis (MS) patients at risk of flu-like syndrome (FLS) compared with FLS- free treatments., Methods: The present study included patients treated with interferon-ß (IFNß), glatiramer, and natalizumab for at least one year. Collected data included the diagnosis of COVID-19 infection, Beck Depression Inventory-II (BDI-II), Beck Anxiety Inventory (BAI), together with questions about FLS, change in work habits, use of antipyretics, anxiety, and depression., Results: 100 patients were included in the study. Six patients in IFNß and 5 in the natalizumab group had a confirmed COVID-19 infection. 68% in the IFNß patients reported FLS and only one reported an increase in flu-like frequency during the pandemic; 14% reported lower compliance with treatment, and 40% reported uptake of antipyretics several times. Only one IFNß patient reported having lost more working days than the previous year. The average BAI (p = 0.039) was higher in natalizumab group. Correcting these data by age, sex and EDSS to a multivariate analysis we did not find any statistically significant difference in terms of BAI and BDI-II between the three treatment groups., Conclusions: FLS were not perceived as COVID19-like symptoms but as expected by traditional pharmacological treatments indeed. These data suggest that IFNß can be used safely., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)
Published: 2023
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33. Editorial: CSF and blood biomarkers in COVID-19 and other neuroinfectious diseases.

Author: Foschi M, Abu-Rumeileh S, Massa F, Cordano C, and Abdelhak A
Abstract: Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Published: 2023
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34. Imaging immunomodulatory treatment responses in a multiple sclerosis mouse model using hyperpolarized 13 C metabolic MRI.

Author: Guglielmetti C, Cordano C, Najac C, Green AJ, and Chaumeil MM
Abstract: Background: In recent years, the ability of conventional magnetic resonance imaging (MRI), including T 1 contrast-enhanced (CE) MRI, to monitor high-efficacy therapies and predict long-term disability in multiple sclerosis (MS) has been challenged. Therefore, non-invasive methods to improve MS lesions detection and monitor therapy response are needed., Methods: We studied the combined cuprizone and experimental autoimmune encephalomyelitis (CPZ-EAE) mouse model of MS, which presents inflammatory-mediated demyelinated lesions in the central nervous system as commonly seen in MS patients. Using hyperpolarized 13 C MR spectroscopy (MRS) metabolic imaging, we measured cerebral metabolic fluxes in control, CPZ-EAE and CPZ-EAE mice treated with two clinically-relevant therapies, namely fingolimod and dimethyl fumarate. We also acquired conventional T 1 CE MRI to detect active lesions, and performed ex vivo measurements of enzyme activities and immunofluorescence analyses of brain tissue. Last, we evaluated associations between imaging and ex vivo parameters., Results: We show that hyperpolarized [1- 13 C]pyruvate conversion to lactate is increased in the brain of untreated CPZ-EAE mice when compared to the control, reflecting immune cell activation. We further demonstrate that this metabolic conversion is significantly decreased in response to the two treatments. This reduction can be explained by increased pyruvate dehydrogenase activity and a decrease in immune cells. Importantly, we show that hyperpolarized 13 C MRS detects dimethyl fumarate therapy, whereas conventional T 1 CE MRI cannot., Conclusions: In conclusion, hyperpolarized MRS metabolic imaging of [1- 13 C]pyruvate detects immunological responses to disease-modifying therapies in MS. This technique is complementary to conventional MRI and provides unique information on neuroinflammation and its modulation., (© 2023. The Author(s).)
Published: 2023
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35. MWF of the corpus callosum is a robust measure of remyelination: Results from the ReBUILD trial.

Author: Caverzasi E, Papinutto N, Cordano C, Kirkish G, Gundel TJ, Zhu A, Akula AV, Boscardin WJ, Neeb H, Henry RG, Chan JR, and Green AJ
Subjects: Humans, Corpus Callosum diagnostic imaging, Corpus Callosum pathology, Brain pathology, Myelin Sheath pathology, Magnetic Resonance Imaging methods, Water, Biomarkers, Remyelination, Multiple Sclerosis diagnostic imaging, Multiple Sclerosis drug therapy, Multiple Sclerosis pathology, White Matter diagnostic imaging, White Matter pathology
Abstract: Myelin repair is an unrealized therapeutic goal in the treatment of multiple sclerosis (MS). Uncertainty remains about the optimal techniques for assessing therapeutic efficacy and imaging biomarkers are required to measure and corroborate myelin restoration. We analyzed myelin water fraction imaging from ReBUILD, a double-blind, randomized placebo-controlled (delayed treatment) remyelination trial, that showed a significant reduction in VEP latency in patients with MS. We focused on brain regions rich in myelin. Fifty MS subjects in two arms underwent 3T MRI at baseline and months 3 and 5. Half of the cohort was randomly assigned to receive treatment from baseline through 3 mo, whereas the other half received treatment from 3 mo to 5 mo post-baseline. We computed myelin water fraction changes occurring in normal-appearing white matter of corpus callosum, optic radiations, and corticospinal tracts. An increase in myelin water fraction was documented in the normal-appearing white matter of the corpus callosum, in correspondence with the administration of the remyelinating treatment clemastine. This study provides direct, biologically validated imaging-based evidence of medically induced myelin repair. Moreover, our work strongly suggests that significant myelin repair occurs outside of lesions. We therefore propose myelin water fraction within the normal-appearing white matter of the corpus callosum as a biomarker for clinical trials looking at remyelination.
Published: 2023
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36. Neuron-oligodendrocyte potassium shuttling at nodes of Ranvier protects against inflammatory demyelination.

Author: Kapell H, Fazio L, Dyckow J, Schwarz S, Cruz-Herranz A, Mayer C, Campos J, D'Este E, Möbius W, Cordano C, Pröbstel AK, Gharagozloo M, Zulji A, Narayanan Naik V, Delank A, Cerina M, Müntefering T, Lerma-Martin C, Sonner JK, Sin JH, Disse P, Rychlik N, Sabeur K, Chavali M, Srivastava R, Heidenreich M, Fitzgerald KC, Seebohm G, Stadelmann C, Hemmer B, Platten M, Jentsch TJ, Engelhardt M, Budde T, Nave KA, Calabresi PA, Friese MA, Green AJ, Acuna C, Rowitch DH, Meuth SG, and Schirmer L
Subjects: Mice, Animals, Humans, Ranvier's Nodes metabolism, Potassium metabolism, Neurons metabolism, Oligodendroglia metabolism, Encephalomyelitis, Autoimmune, Experimental genetics, Encephalomyelitis, Autoimmune, Experimental metabolism, Multiple Sclerosis genetics, Multiple Sclerosis metabolism
Abstract: Multiple sclerosis (MS) is a progressive inflammatory demyelinating disease of the CNS. Increasing evidence suggests that vulnerable neurons in MS exhibit fatal metabolic exhaustion over time, a phenomenon hypothesized to be caused by chronic hyperexcitability. Axonal Kv7 (outward-rectifying) and oligodendroglial Kir4.1 (inward-rectifying) potassium channels have important roles in regulating neuronal excitability at and around the nodes of Ranvier. Here, we studied the spatial and functional relationship between neuronal Kv7 and oligodendroglial Kir4.1 channels and assessed the transcriptional and functional signatures of cortical and retinal projection neurons under physiological and inflammatory demyelinating conditions. We found that both channels became dysregulated in MS and experimental autoimmune encephalomyelitis (EAE), with Kir4.1 channels being chronically downregulated and Kv7 channel subunits being transiently upregulated during inflammatory demyelination. Further, we observed that pharmacological Kv7 channel opening with retigabine reduced neuronal hyperexcitability in human and EAE neurons, improved clinical EAE signs, and rescued neuronal pathology in oligodendrocyte-Kir4.1-deficient (OL-Kir4.1-deficient) mice. In summary, our findings indicate that neuron-OL compensatory interactions promoted resilience through Kv7 and Kir4.1 channels and identify pharmacological activation of nodal Kv7 channels as a neuroprotective strategy against inflammatory demyelination.
Published: 2023
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37. Visually Evoked Potential as Prognostic Biomarker for Neuroaxonal Damage in Multiple Sclerosis From a Multicenter Longitudinal Cohort.

Author: Oertel FC, Krämer J, Motamedi S, Keihani A, Zimmermann HG, Dimitriou NG, Condor-Montes S, Bereuter C, Cordano C, Abdelhak A, Trip A, Aktas O, Meuth SG, Wiendl H, Ruprecht K, Bellmann-Strobl J, Paul F, Petzold A, Brandt AU, Albrecht P, and Green AJ
Subjects: Humans, Male, Evoked Potentials, Prognosis, Retina, Retinal Ganglion Cells, Female, Adult, Middle Aged, Multiple Sclerosis, Optic Neuritis
Abstract: Background and Objectives: With the increasing use of visually evoked potentials (VEPs) as quantitative outcome parameters for myelin in clinical trials, an in-depth understanding of longitudinal VEP latency changes and their prognostic potential for subsequent neuronal loss will be required. In this longitudinal multicenter study, we evaluated the association and prognostic potential of VEP latency for retinal neurodegeneration, measured by optical coherence tomography (OCT), in relapsing-remitting MS (RRMS)., Methods: We included 293 eyes of 147 patients with RRMS (age [years, median ± SD] 36 ± 10, male sex 35%, F/U [years, median {IQR} 2.1 {1.5-3.9}]): 41 eyes had a history of optic neuritis (ON) ≥6 months before baseline (CHRONIC-ON), and 252 eyes had no history of ON (CHRONIC-NON). P100 latency (VEP), macular combined ganglion cell and inner plexiform layer volume (GCIPL), and peripapillary retinal nerve fiber layer thickness (pRNFL) (OCT) were quantified., Results: P100 latency change over the first year predicted subsequent GCIPL loss (36 months) across the entire chronic cohort ( p = 0.001) and in (and driven by) the CHRONIC-NON subset ( p = 0.019) but not in the CHRONIC-ON subset ( p = 0.680). P100 latency and pRNFL were correlated at baseline (CHRONIC-NON p = 0.004, CHRONIC-ON p < 0.001), but change in P100 latency and pRNFL were not correlated. P100 latency did not differ longitudinally between protocols or centers., Discussion: VEP in non-ON eyes seems to be a promising marker of demyelination in RRMS and of potential prognostic value for subsequent retinal ganglion cell loss. This study also provides evidence that VEP may be a useful and reliable biomarker for multicenter studies., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)
Published: 2023
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38. Validating visual evoked potentials as a preclinical, quantitative biomarker for remyelination efficacy.

Author: Cordano C, Sin JH, Timmons G, Yiu HH, Stebbins K, Guglielmetti C, Cruz-Herranz A, Xin W, Lorrain D, Chan JR, and Green AJ
Subjects: Humans, Animals, Evoked Potentials, Visual, Clemastine therapeutic use, Myelin Sheath metabolism, Biomarkers metabolism, Remyelination, Multiple Sclerosis pathology
Abstract: Many biomarkers in clinical neuroscience lack pathological certification. This issue is potentially a significant contributor to the limited success of neuroprotective and neurorestorative therapies for human neurological disease-and is evident even in areas with therapeutic promise such as myelin repair. Despite the identification of promising remyelinating candidates, biologically validated methods to demonstrate therapeutic efficacy or provide robust preclinical evidence of remyelination in the CNS are lacking. Therapies with potential to remyelinate the CNS constitute one of the most promising and highly anticipated therapeutic developments in the pipeline to treat multiple sclerosis and other demyelinating diseases. The optic nerve has been proposed as an informative pathway to monitor remyelination in animals and human subjects. Recent clinical trials using visual evoked potential have had promising results, but without unequivocal evidence about the cellular and molecular basis for signal changes on visual evoked potential, the interpretation of these trials is constrained. The visual evoked potential was originally developed and used in the clinic as a diagnostic tool but its use as a quantitative method for assessing therapeutic response requires certification of its biological specificity. Here, using the tools of experimental pathology we demonstrate that quantitative measurements of myelination using both histopathological measures of nodal structure and ultrastructural assessments correspond to visual evoked potential latency in both inflammatory and chemical models of demyelination. Visual evoked potential latency improves after treatment with a tool remyelinating compound (clemastine), mirroring both quantitative and qualitative myelin assessment. Furthermore, clemastine does not improve visual evoked potential latency following demyelinating injury when administered to a transgenic animal incapable of forming new myelin. Therefore, using the capacity for therapeutic enhancement and biological loss of function we demonstrate conclusively that visual evoked potential measures myelin status and is thereby a validated tool for preclinical verification of remyelination., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
Published: 2022
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39. Differences in Age-related Retinal and Cortical Atrophy Rates in Multiple Sclerosis.

Author: Cordano C, Nourbakhsh B, Yiu HH, Papinutto N, Caverzasi E, Abdelhak A, Oertel FC, Beaudry-Richard A, Santaniello A, Sacco S, Bennett DJ, Gomez A, Sigurdson CJ, Hauser SL, Magliozzi R, Cree BAC, Henry RG, and Green AJ
Subjects: Adult, Atrophy pathology, Humans, Infant, Infant, Newborn, Middle Aged, Retina diagnostic imaging, Retina pathology, Tomography, Optical Coherence, Multiple Sclerosis complications, Multiple Sclerosis diagnostic imaging, Multiple Sclerosis pathology, Multiple Sclerosis, Relapsing-Remitting complications, Multiple Sclerosis, Relapsing-Remitting diagnostic imaging, Multiple Sclerosis, Relapsing-Remitting pathology, Neurodegenerative Diseases pathology
Abstract: Background and Objectives: The timing of neurodegeneration in multiple sclerosis (MS) remains unclear. It is critical to understand the dynamics of neuroaxonal loss if we hope to prevent or forestall permanent disability in MS. We therefore used a deeply phenotyped longitudinal cohort to assess and compare rates of neurodegeneration in retina and brain throughout the MS disease course., Methods: We analyzed 597 patients with MS who underwent longitudinal optical coherence tomography imaging annually for 4.5 ± 2.4 years and 432 patients who underwent longitudinal MRI scans for 10 ± 3.4 years, quantifying macular ganglion cell-inner plexiform layer (GCIPL) volume and cortical gray matter (CGM) volume. The association between the slope of decline in the anatomical structure and the age of entry in the cohort (categorized by the MRI cohort's age quartiles) was assessed by hierarchical linear models., Results: The rate of CGM volume loss declined with increasing age of study entry (1.3% per year atrophy for the age of entry in the cohort younger than 35 years; 1.1% for older than 35 years and younger than 41; 0.97% for older than 41 years and younger than 49; 0.9% for older than 49 years) while the rate of GCIPL thinning was highest in patients in the youngest quartile, fell by more than 50% in the following age quartile, and then stabilized (0.7% per year thinning for the age of entry in the cohort younger than 35 years; 0.29% for age older than 35 and younger than 41 years; 0.34% for older than 41 and younger than 49 years; 0.33% for age older than 49 years)., Discussion: An age-dependent reduction in retinal and cortical volume loss rates during relapsing-remitting MS suggests deceleration in neurodegeneration in the earlier period of disease and further indicates that the period of greatest adaptive immune-mediated inflammatory activity is also the period with the greatest neuroaxonal loss., (© 2022 American Academy of Neurology.)
Published: 2022
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40. Erratum: Choroidal Thickness in Multiple Sclerosis: An Optical Coherence Tomography Study.

Author: Masala A, Mola ID, Cellerino M, Pera V, Vagge A, Uccelli A, Cordano C, Traverso CE, and Iester M
Published: 2022
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41. Retinal arteriolar parameters as a surrogate marker of intracranial vascular pathology.

Author: Abdelhak A, Solomon I, Montes SC, Saias A, Cordano C, Asken B, Fonseca C, Oertel FC, Arfanakis K, Staffaroni AM, Kramer JH, Geschwind M, Miller BL, Elahi FM, and Green AJ
Abstract: Introduction: Development of novel diagnostic tools is a top research priority in vascular dementia. A major obstacle is the lack of a simple, non-invasive method to visualize cerebral arteriolar walls in vivo. Retinal arterioles offer a window into the cerebral circulation., Methods: I ntensity- b ased r etinal a rteriolar v isualization in o ptical coherence tomography (I-bRAVO) was applied to evaluate mean wall thickness (MWT) and wall-to-lumen ratio (WLR) in 250 subjects with sporadic and genetic cerebral small vessel disease (CSVD), non-vascular neurodegenerative diseases (NVND), and healthy controls (HC) in association with imaging and cognitive markers., Results: MWT and WLR were higher in CSVD, associated with severity of vascular white matter lesions, and correlated with magnetic resonance imaging-based intracranial arteriolosclerosis score. WLR correlated with gray and white matter volume and differentiated asymptomatic sporadic CSVD from HC (area under the curve = 0.82)., Discussion: I-bRAVO is a rapid, non-invasive tool. MWT and WLR were associated with imaging markers of CSVD and could contribute to early identification of sporadic CSVD., Competing Interests: The authors report no conflicts of interest related to this work. All authors report no disclosures related to this work., (© 2022 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.)
Published: 2022
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42. Reply to "Interpretation of Longitudinal Changes of the Inner Nuclear Layer in MS".

Author: Cordano C, Yiu HH, Abdelhak A, Beaudry-Richard A, Oertel FC, and Green AJ
Subjects: Humans, Retina, Retinal Ganglion Cells
Published: 2022
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43. Plasma neurofilament light chain levels suggest neuroaxonal stability following therapeutic remyelination in people with multiple sclerosis.

Author: Abdelhak A, Cordano C, Boscardin WJ, Caverzasi E, Kuhle J, Chan B, Gelfand JM, Yiu HH, Oertel FC, Beaudry-Richard A, Condor Montes S, Oksenberg JR, Lario Lago A, Boxer A, Rojas-Martinez JC, Elahi FM, Chan JR, and Green AJ
Abstract: Background: Chronic demyelination is a major contributor to axonal vulnerability in multiple sclerosis (MS). Therefore, remyelination could provide a potent neuroprotective strategy. The ReBUILD trial was the first study showing evidence for successful remyelination following treatment with clemastine in people with MS (pwMS) with no evidence of disease activity or progression (NEDAP). Whether remyelination was associated with neuroprotection remains unexplored., Methods: Plasma neurofilament light chain (NfL) levels were measured from ReBUILD trial's participants. Mixed linear effect models were fit for individual patients, epoch and longitudinal measurements to compare NfL concentrations between samples collected during the active and placebo treatment period., Results: NfL concentrations were 9.6% lower in samples collected during the active treatment with clemastine (n=53, geometric mean=6.33 pg/mL) compared to samples collected during treatment with placebo (n=73, 7.00 pg/mL) (B=-0.035 [-0.068 to -0.001], p=0.041). Applying age- and body mass index-standardised NfL Z-scores and percentiles revealed similar results (0.04 vs 0.35, and 27.5 vs 33.3, p=0.023 and 0.042, respectively). Higher NfL concentrations were associated with more delayed P100 latencies (B=1.33 [0.26 to 2.41], p=0.015). In addition, improvement of P100 latencies between visits was associated with a trend for lower NfL values (B=0.003 [-0.0004 to 0.007], p=0.081). Based on a Cohen's d of 0.248, a future 1:1 parallel-arm placebo-controlled study using a remyelinating agent with comparable effect as clemastine would need 202 subjects per group to achieve 80% power., Conclusions: In pwMS, treatment with the remyelinating agent clemastine was associated with a reduction of blood NfL, suggesting that neuroprotection is achievable and measurable with therapeutic remyelination., Trial Registration Number: NCT02040298., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2022
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44. Choroidal Thickness in Multiple Sclerosis: An Optical Coherence Tomography Study.

Author: Masala A, Mola ID, Cellerino M, Pera V, Vagge A, Uccelli A, Christian C, Traverso CE, and Iester M
Abstract: Background and Purpose: To identify changes in the choroidal thickness (CT) in multiple sclerosis (MS) patients with and without optic neuritis (ON) using enhanced-depth-imaging optical coherence tomography (EDI-OCT)., Methods: This cross-sectional study included 96 eyes with MS and 28 eyes of healthy controls. All participants underwent an ophthalmologic examination and EDI-OCT scanning (Spectralis, Heidelberg Engineering, Germany) to assess the CT and the retinal nerve fiber layer (RNFL) thickness. MS patients were divided into two groups: 1) with and 2) without a history of ON. The CT was evaluated in the fovea and at six horizontal and six vertical points at 500, 1,000, and 1,500 µm from the fovea. Paired t -tests were used to compare the groups, and p -value<0.05 was considered as significant., Results: At all 13 measurements points, the CT was thicker in MS patients than in the healthy controls and was thinner in eyes with ON than in the contralateral eyes, but these differences were not statistically significant. However, the CT was always larger in all points in eyes with a history of ON than in the control eyes. The RNFL was significantly thinner ( p <0.05) in both MS and ON eyes than in the control eyes., Conclusions: The CT did not differ between MS and control eyes, but it was significantly larger in patients with a history of ON, in whom the RNFL was thinner. Further studies are necessary to establish the possible role of the choroid in MS., Competing Interests: The authors have no potential conflicts of interest to disclose., (Copyright © 2022 Korean Neurological Association.)
Published: 2022
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45. Substance Use-Related Cognitive Decline in Families with Autosomal Dominant Alzheimer's Disease: A Cohort Study.

Author: Ramos C, Villalba C, García J, Lanata S, López H, Aguillón D, Cordano C, Madrigal L, Aguirre-Acevedo DC, and Lopera F
Subjects: Adult, Alcohol Drinking epidemiology, Cigarette Smoking epidemiology, Colombia epidemiology, Executive Function, Female, Heterozygote, Humans, Male, Neuropsychological Tests statistics & numerical data, Retrospective Studies, Surveys and Questionnaires, Alzheimer Disease genetics, Cognitive Dysfunction epidemiology, Presenilin-1 genetics, Substance-Related Disorders epidemiology
Abstract: Background: Cigarette smoking is a known risk factor for Alzheimer's disease (AD). However, the association between neurodegeneration and other substances has not been fully determined. It is of vital importance to evaluate this relationship in populations at high risk of dementia. Since substance use possibly modifies the progression rate of cognitive decline, we studied this association in a unique and well-phenotyped cohort from the University of Antioquia: carriers of the PSEN1-E280A genetic variant., Objective: To determine the association between substance use and cognitive decline in carriers of the PSEN1-E280A genetic variant., Methods: A retrospective cohort study was conducted with 94 carriers and 69 noncarriers recruited between January 2019 and April 2020. A psychiatrist interviewed the participants using the Consumption of Alcohol, Cigarettes and other Substances questionnaire. The participants were also submitted to cognitive evaluation. The relationship between cognitive decline and substance use was explored through a mixed effects regression model., Results: There was an association between cigarettes and better performance on tasks related to perceptual organization, verbal fluency, and memory in carriers. Alcohol had a positive or negative effect on memory according to the type of alcoholic beverage. Results on marijuana use were no conclusive. Coffee was associated with progressive improvements in executive function and verbal fluency., Conclusion: Cigarette and alcohol were associated with an improvement of some cognitive assessments, possibly by a survival bias. In addition, coffee was related to improvements in executive function and language; therefore, its short-term neuroprotective potential should be studied.
Published: 2022
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46. Distinctive waves of innate immune response in the retina in experimental autoimmune encephalomyelitis.

Author: Cruz-Herranz A, Oertel FC, Kim K, Cantó E, Timmons G, Sin JH, Devereux M, Baker N, Michel B, Schubert RD, Rani L, Cordano C, Baranzini SE, and Green AJ
Subjects: Animals, CX3C Chemokine Receptor 1 genetics, Disease Progression, Encephalomyelitis, Autoimmune, Experimental genetics, Encephalomyelitis, Autoimmune, Experimental metabolism, Freund's Adjuvant, Gene Expression Profiling, Gene Knock-In Techniques, Immunity, Innate genetics, Intercellular Signaling Peptides and Proteins genetics, Intercellular Signaling Peptides and Proteins metabolism, Mice, Microglia metabolism, Myelin-Oligodendrocyte Glycoprotein, Peptide Fragments, Phagocytosis genetics, Phagocytosis immunology, Retina cytology, Retina metabolism, Suppressor of Cytokine Signaling 3 Protein genetics, Suppressor of Cytokine Signaling 3 Protein metabolism, Encephalomyelitis, Autoimmune, Experimental immunology, Immunity, Innate immunology, Microglia immunology, Retina immunology
Abstract: Neurodegeneration mediates neurological disability in inflammatory demyelinating diseases of the CNS. The role of innate immune cells in mediating this damage has remained controversial with evidence for destructive and protective effects. This has complicated efforts to develop treatment. The time sequence and dynamic evolution of the opposing functions are especially unclear. Given limits of in vivo monitoring in human diseases such as multiple sclerosis (MS), animal models are warranted to investigate the association and timing of innate immune activation with neurodegeneration. Using noninvasive in vivo retinal imaging of experimental autoimmune encephalitis (EAE) in CX3CR1GFP/+-knock-in mice followed by transcriptional profiling, we are able to show 2 distinct waves separated by a marked reduction in the number of innate immune cells and change in cell morphology. The first wave is characterized by an inflammatory phagocytic phenotype preceding the onset of EAE, whereas the second wave is characterized by a regulatory, antiinflammatory phenotype during the chronic stage. Additionally, the magnitude of the first wave is associated with neuronal loss. Two transcripts identified - growth arrest-specific protein 6 (GAS6) and suppressor of cytokine signaling 3 (SOCS3) - might be promising targets for enhancing protective effects of microglia in the chronic phase after initial injury.
Published: 2021
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47. Multiple Sclerosis Is Rare in Epstein-Barr Virus-Seronegative Children with Central Nervous System Inflammatory Demyelination.

Author: Nourbakhsh B, Cordano C, Asteggiano C, Ruprecht K, Otto C, Rutatangwa A, Lui A, Hart J, Flanagan EP, James JA, and Waubant E
Subjects: Adolescent, Autoantibodies immunology, Autoantigens immunology, Child, Child, Preschool, Demyelinating Autoimmune Diseases, CNS immunology, Humans, Male, Myelin-Oligodendrocyte Glycoprotein immunology, Demyelinating Autoimmune Diseases, CNS diagnosis, Epstein-Barr Virus Infections complications, Multiple Sclerosis diagnosis, Multiple Sclerosis virology
Abstract: Although Epstein-Barr virus (EBV) is hypothesized to be a prerequisite for multiple sclerosis (MS), up to 15% of children with a diagnosis of MS were reported to be EBV-seronegative. When re-evaluating 25 EBV-seronegative children out of 189 pediatric patients with a diagnosis of clinically isolated syndrome/MS, we found anti-myelin oligodendrocyte glycoprotein (MOG) antibody in 11 of 25 (44%) EBV-seronegative but only 9 of 164 (5.5%, p < 0.001) EBV-seropositive patients. After critical review, MS remained a plausible diagnosis in only 4 of 14 EBV-seronegative/MOG antibody-negative patients. In children with an MS-like presentation, EBV seronegativity should alert clinicians to consider diagnoses other than MS, especially MOG-antibody disease. ANN NEUROL 2021;89:1234-1239., (© 2021 American Neurological Association.)
Published: 2021
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48. Mild COVID-19 infection in a group of teriflunomide-treated patients with multiple sclerosis.

Author: Mantero V, Baroncini D, Balgera R, Guaschino C, Basilico P, Annovazzi P, Zaffaroni M, Salmaggi A, and Cordano C
Subjects: Crotonates adverse effects, Humans, Hydroxybutyrates, Nitriles, SARS-CoV-2, Toluidines adverse effects, COVID-19, Multiple Sclerosis drug therapy, Multiple Sclerosis, Relapsing-Remitting
Published: 2021
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49. COVID-19 in dimethyl fumarate-treated patients with multiple sclerosis.

Author: Mantero V, Abate L, Basilico P, Balgera R, Salmaggi A, Nourbakhsh B, and Cordano C
Subjects: Dimethyl Fumarate therapeutic use, Humans, Immunosuppressive Agents, SARS-CoV-2, COVID-19, Multiple Sclerosis diagnostic imaging, Multiple Sclerosis drug therapy, Multiple Sclerosis, Relapsing-Remitting
Published: 2021
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50. Multiple sclerosis and COVID-19: How could therapeutic scenarios change during the pandemic?

Author: Mantero V, Abate L, Salmaggi A, and Cordano C
Subjects: Humans, Pandemics, SARS-CoV-2, COVID-19, Multiple Sclerosis epidemiology, Multiple Sclerosis therapy, Pharmaceutical Preparations
Published: 2021
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