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Your search keyword '"Tortorella, Carla"' showing total 14 results
Start Over Author "Tortorella, Carla" Publisher elsevier b.v.
14 results on '"Tortorella, Carla"'

2. The impact of PM2.5, PM10 and NO2 on Covid-19 severity in a sample of patients with multiple sclerosis: A case-control study

Author

Gianmarco, Abbadessa, Umberto, Aguglia, Lia, Allegorico, Maria, Allegri Rossi Beatrice, Anastasia, Alteno, Pia, Amato Maria, Pietro, Annovazzi, Carlo, Antozzi, Lucia, Appendino, Sebastiano, Arena, Viola, Baione, Roberto, Balgera, Valeria, Barcella, Damiano, Baroncini, Caterina, Barrilà, Mario A, Battaglia, Alessandra, Bellacosa, Gianmarco, Bellucci, Roberto, Bergamaschi, Valeria, Bergamaschi, Daiana, Bezzini, Beatrice, Biolzi, Alvino, Bisecco, Simona, Bonavita, Giovanna, Borriello, Chiara, Bosa, Antonio, Bosco, Francesca, Bovis, Marco, Bozzali, Laura, Brambilla, Vincenzo, Brescia Morra, Giampaolo, Brichetto, Maria, Buccafusca, Elisabetta, Bucciantini, Sebastiano, Bucello, Chiara, Buscarinu Maria, Paola, Cabboi Maria, Massimiliano, Calabrese, Francesca, Calabria, Francesca, Caleri, Federico, Camilli, Maria, Caniatti Luisa, Roberto, Cantello, Marco, Capobianco, Ruggero, Capra, Rocco, Capuano, Luca, Carmisciano, Patrizia, Carta, Paola, Cavalla, Grazia, Celani Maria, Maria, Cellerino, Raffaella, Cerqua, Clara, Chisari, Raffaella, Clerici, Marinella, Clerico, Eleonora, Cocco, Gaia, Cola, Giancarlo, Comi, Paolo, Confalonieri, Antonella, Conte, Zaffira, Conti Marta, Christian, Cordano, Susanna, Cordera, Cinzia, Cordioli, Francesco, Corea, Claudio, Correale, Salvatore, Cottone, Francesco, Crescenzo, Erica, Curti, Alessandro, d'Ambrosio, Emanuele, D'Amico, Chiara, Danni Maura, Alessia, d'Arma, Vincenzo, Dattola, Stefano, de Biase, Giovanna, De Luca, Federica, De Mercanti Stefania, Paolo, De Mitri, Nicola, De Rossi, Nicola, De Stefano, Maria, Della Cava Fabio, Marco, Della Cava, Sonia, Di Lemme, Mario, di Napoli, Alessia, Di Sapio, Renato, Docimo, Anna, Dutto, Luana, Evangelista, Salvatore, Fanara, Roberta, Fantozzi, Diana, Ferraro, Teresa, Ferrò Maria, Massimo, Filippi, Cristina, Fioretti, Mario, Fratta, Jessica, Frau, Marzia, Fronza, Roberto, Furlan, Alberto, Gajofatto, Antonio, Gallo, Paolo, Gallo, Claudio, Gasperini, Anna, Ghazaryan, Bruno, Giometto, Francesca, Gobbin, Flora, Govone, Franco, Granella, Erica, Grange, Grazia, Grasso Maria, Luigi ME, Grimaldi, Angelica, Guareschi, Clara, Guaschino, Simone, Guerrieri, Donata, Guidetti, Barbara, Juergenson Ina, Pietro, Iaffaldano, Antonio, Ianniello, Luigi, Iasevoli, Paolo, Immovilli, Daniele, Imperiale, Teresa, Infante Maria, Matilde, Inglese, Rosa, Iodice, Aniello, Iovino, Giovanna, Konrad, Doriana, Landi, Roberta, Lanzillo, Caterina, Lapucci, Luigi, Lavorgna, Rita, L'Episcopo Maria, Serena, Leva, Giuseppe, Liberatore, Marianna, Lo Re, Marco, Longoni, Leonardo, Lopiano, Lorena, Lorefice, Matteo, Lucchini, Giacomo, Lus, Davide, Maimone, Maria, Malentacchi, Giulia, Mallucci, Simona, Malucchi, Rosa, Mancinelli Chiara, Luca, Mancinelli, Paolo, Manganotti, Teresa, Maniscalco Giorgia, Vittorio, Mantero, Sabrina, Marangoni, Damiano, Marastoni, Alessandra, Marfia Girolama, Fabiana, Marinelli, Alessandro, Marti, Filippo, Martinelli Boneschi, Federco, Masserano Zoli, Francesca, Matta, Laura, Mendozzi, Giuseppe, Meucci, Silvia, Miante, Giuseppina, Miele, Eva, Milano, Massimiliano, Mirabella, Rosanna, Missione, Marcello, Moccia, Lucia, Moiola, Sara, Montepietra, Margherita, MontiBragadin, Federico, Montini, Roberta, Motta, Raffaele, Nardone, Gabri, Nicoletti Carolina, Eduardo, Nobile-Orazio, Agostino, Nozzolillo, Marco, Onofrj, Riccardo, Orlandi, Anna, Palmieri, Damiano, Paolicelli, Livia, Pasquali, Fulvio, Pasquin, Luisa, Pastò, Francesco, Patti, Elisabetta, Pedrazzoli, Paola, Perini, Ilaria, Pesci, Maria, Petracca, Alfredo, Petrone, Carlo, Piantadosi, Anna M, Pietroboni, Federica, Pinardi, Marta, Ponzano, Emilio, Portaccio, Mattia, Pozzato, Carlo, Pozzilli, Luca, Prosperini, Alessandra, Protti, Eugenio, Pucci, Marta, Radaelli, Paolo, Ragonese, Sarah, Rasia, Sabrina, Realmuto, Anna, Repice, Eleonora, Rigoni, Teresa, Rilla Maria, Francesca, Rinaldi, Marcello, Romano Calogero, Marco, Ronzoni, Marco, Rovaris, Francesca, Ruscica, Loredana, Sabattini, Giuseppe, Salemi, Marco, Salvetti, Lorenzo, Saraceno, Alessia, Sartori, Arianna, Sartori, Elvira, Sbragia, Cinzia, Scandellari, Ilaria, Scarano Giuditta, Valentina, Scarano, Irene, Schiavetti, Maria, Sessa, Caterina, Sgarito, Grazia, Sibilia, Gabriele, Siciliano, Alessio, Signori, Elisabetta, Signoriello, Leonardo, Sinisi, Francesca, Sireci, Patrizia, Sola, Claudio, Solaro, Pia, Sormani Maria, Stefano, Sotgiu, Maddalena, Sparaco, Laura, Stromillo Maria, Silvia, Strumia, Laura, Susani Emanuela, Giulietta, Tabiadon, Francesco, Teatini, Gioacchino, Tedeschi, Valentina, Tomassini, Simone, Tonietti, Valentina, Torri Clerici, Carla, Tortorella, Simona, Toscano, Rocco, Totaro, Maria, Trojano, Maria, Trotta, Gabriella, Turano, Monica, Ulivelli, Manzo, Valentino, Giovanna, Vaula, Domizia, Vecchio, Marco, Vercellino, Pinuccia, Verrengia Elena, Marika, Vianello, Eleonora, Virgilio, Francesca, Vitetta, Stefano, Vollaro, Mauro, Zaffaroni, Mauro, Zampolini, Roberto, Zarbo Ignazio, Antonio, Zito, Luigi, Zuliani, Ponzano, Marta, Schiavetti, Irene, Bergamaschi, Roberto, Pisoni, Enrico, Bellavia, Andrea, Mallucci, Giulia, Carmisciano, Luca, Inglese, Matilde, Cordioli, Cinzia, Marfia, Girolama Alessandra, Cocco, Eleonora, Immovilli, Paolo, Pesci, Ilaria, Scandellari, Cinzia, Cavalla, Paola, Radaelli, Marta, Vianello, Marika, Vitetta, Francesca, Montepietra, Sara, Amato, Maria Pia, Fioretti, Cristina, Filippi, Massimo, Sartori, Arianna, Caleri, Francesca, Clerico, Marinella, Gallo, Antonio, Conte, Antonella, Clerici, Raffaella, De Luca, Giovanna, Boneschi, Filippo Martinelli, Cantello, Roberto, Calabrese, Massimiliano, Tortorella, Carla, Rovaris, Marco, Verrengia, Elena Pinuccia, Patti, Francesco, Morra, Vincenzo Brescia, Salvetti, Marco, and Sormani, Maria Pia

Published
2022
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3. Characteristics and treatment of Multiple Sclerosis-related trigeminal neuralgia: An Italian multi-centre study

Author

Ferraro, Diana, Annovazzi, Pietro, Moccia, Marcello, Lanzillo, Roberta, De Luca, Giovanna, Nociti, Viviana, Fantozzi, Roberta, Paolicelli, Damiano, Ragonese, Paolo, Gajofatto, Alberto, Boffa, Laura, Cavalla, Paola, Lo Fermo, Salvatore, Buscarinu, Maria Chiara, Lorefice, Lorena, Cordioli, Cinzia, Calabrese, Massimiliano, Gallo, Antonio, Pinardi, Federica, Tortorella, Carla, Di Filippo, Massimiliano, Camera, Valentina, Maniscalco, Giorgia Teresa, Radaelli, Marta, Buttari, Fabio, Tomassini, Valentina, Cocco, Eleonora, Gasperini, Claudio, and Solaro, Claudio

Published
2020
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4. Dimethyl Fumarate or Teriflunomide for Relapsing–Remitting Multiple Sclerosis: A Meta-analysis of Post-marketing Studies.

Author

Prosperini, Luca, Haggiag, Shalom, Ruggieri, Serena, Tortorella, Carla, and Gasperini, Claudio

Abstract

In the absence of head-to-head comparison trials, we aimed to compare the effectiveness of two largely prescribed oral platform disease-modifying treatments for relapsing–remitting multiple sclerosis, namely, dimethyl fumarate (DMF) and teriflunomide (TRF). We searched scientific databases to identify real-world studies reporting a direct comparison of DMF versus TRF. We fitted inverse-variance weighted meta-analyses with random effects models to estimate the risk ratio (RR) of relapse, confirmed disability worsening (CDW), and treatment discontinuation. Quantitative synthesis was accomplished on 14 articles yielding 11,889 and 8133 patients treated with DMF and TRF, respectively, with a follow-up ranging from 1 to 2.8 years. DMF was slightly more effective than TRF in reducing the short-term relapse risk (RR = 0.92, p = 0.01). Meta-regression analyses showed that such between-arm difference tends to fade in studies including younger patients and a higher proportion of treatment-naïve subjects. There was no difference between DMF and TRF on the short-term risk of CDW (RR = 0.99, p = 0.69). The risk of treatment discontinuation was similar across the two oral drugs (RR = 1.02, p = 0.63), but it became slightly higher with DMF than with TRF (RR = 1.07, p = 0.007) after removing one study with a potential publication bias that altered the final pooled result, as also confirmed by a leave-one-out sensitivity analysis. Discontinuation due to side effects and adverse events was reported more frequently with DMF than with TRF. Our findings suggest that DMF is associated with a lower risk of relapses than TRF, with more nuanced differences in younger naïve patients. On the other hand, TRF is associated with a lower risk of treatment discontinuation for side effects and adverse events. [ABSTRACT FROM AUTHOR]

Published
2023
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6. Digital work engagement among Italian neurologists

Author

Brigo, Francesco, Sormani, Mariapia, Clerico, Marinella, Ponzano, Marta, Abbadessa, Gianmarco, Cossu, Giovanni, Trojsi, Francesca, Colucci, Fabiana, Tortorella, Carla, Miele, Giuseppina, Bozzali, Marco, Sparaco, Maddalena, Leocani, Letizia, Lanzillo, Roberta, Tedeschi, Gioacchino, Bonavita, Simona, and Lavorgna, Luigi

Published
2021
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9. Treatment modifiers across different regimens of natalizumab treatment in MS: An Italian real-world experience.

Author

Ruggieri, Serena, Ianniello, Antonio, Copetti, Massimiliano, Altieri, Marta, Buscarinu, Maria Chiara, Centonze, Diego, Cortese, Antonio, De Giglio, Laura, Fantozzi, Roberta, Gasperini, Claudio, Grimaldi, Luigi M.E., Landi, Doriana, Marfia, Girolama A., Mirabella, Massimiliano, Nistri, Riccardo, Nociti, Viviana, Oddo, Oscar, Romano, Silvia, Salemi, Giuseppe, and Tortorella, Carla

Published
2024
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10. Induction Versus Escalation in Multiple Sclerosis: A 10-Year Real World Study.

Author

Prosperini, Luca, Mancinelli, Chiara Rosa, Solaro, Claudio Marcello, Nociti, Viviana, Haggiag, Shalom, Cordioli, Cinzia, De Giglio, Laura, De Rossi, Nicola, Galgani, Simonetta, Rasia, Sarah, Ruggieri, Serena, Tortorella, Carla, Capra, Ruggero, Mirabella, Massimiliano, and Gasperini, Claudio

Abstract

In this independent, multicenter, post-marketing study, we directly compare induction immunosuppression versus escalation strategies on the risk of reaching the disability milestone of Expanded Disability Status Scale (EDSS) ≥ 6.0 over 10 years in previously untreated patients with relapsing-remitting multiple sclerosis. We collected data of patients who started interferon beta (escalation) versus mitoxantrone or cyclophosphamide (induction) as initial treatment. Main eligibility criteria included an EDSS score ≤ 4.0 at treatment start and either ≥ 2 relapses or 1 disabling relapse with evidence of ≥ 1 gadolinium-enhancing lesion at magnetic resonance imaging scan in the pre-treatment year. Since patients were not randomized to treatment group, we performed a propensity score (PS)–based matching procedure to select individuals with homogeneous baseline characteristics. Comparisons were then conducted using Cox models stratified by matched pairs. Overall, 75 and 738 patients started with induction and escalation, respectively. Patients in the induction group were older and more disabled than those in the escalation group (p < 0.05). The PS-matching procedure retained 75 patients per group. In the re-sampled population, a lower proportion of patients reached the outcome after induction (21/75, 28.0%) than escalation (29/75, 38.7%) (hazard ratio = 0.48; p = 0.024). Considering the whole sample, serious adverse events occurred more frequently after induction (8/75, 10.7%) than escalation (18/738, 2.4%) (odds ratio = 3.36, p = 0.015). These findings suggest that, in patients with poor prognostic factors, induction was more effective than escalation in reducing the risk of reaching the disability milestone, albeit with a worse safety profile. Future studies are warranted to explore if newer induction agents may provide a more advantageous long-lasting risk:benefit profile. [ABSTRACT FROM AUTHOR]

Published
2020
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13. Accuracy of QuantiFERON SARS-CoV-2 research use only assay and characterization of the CD4+ and CD8+ T cell-SARS-CoV-2 response: comparison with a homemade interferon-γ release assay.

Author

Aiello, Alessandra, Coppola, Andrea, Vanini, Valentina, Petrone, Linda, Cuzzi, Gilda, Salmi, Andrea, Altera, Anna Maria Gerarda, Tortorella, Carla, Gualano, Gina, Gasperini, Claudio, Scolieri, Palma, Beccacece, Alessia, Vita, Serena, Bruzzese, Vincenzo, Lorenzetti, Roberto, Palmieri, Fabrizio, Nicastri, Emanuele, and Goletti, Delia

Subjects
*SARS-CoV-2, *T cells, *CD8 antigen, *CD4 antigen, *PEPTIDES
Abstract

• The QuantiFERON SARS-CoV-2 research use only assay response is mediated by CD4+ and CD8+ T cells. • Immune response to the antigen (Ag)2 tube is more accurate than that to the Ag1 tube. • Responses to QuantiFERON SARS-CoV-2 tubes are lower compared with a homemade test. • The QuantiFERON SARS-CoV-2 difference in accuracy is likely because of the peptide composition. Objectives: In this study, we aimed to characterize the SARS-CoV-2-specific T cell response detected by the QuantiFERON SARS-CoV-2 research use only assay in terms of accuracy and T cell subsets involved compared with a homemade interferon (IFN)-γ release assay (IGRA). Methods: We evaluated T cell response by the standardized QuantiFERON SARS-CoV-2 tubes (antigen [Ag]1 and Ag2) and a homemade IGRA quantifying IFN-γ response to SARS-CoV-2 spike peptides (homemade-IGRA-SPIKE test). We evaluated the T cell subsets mediating the specific response using flow cytometry. Results: We prospectively enrolled 66 individuals: COVID-19 or post-COVID-19 subjects and NO-COVID-19-vaccinated subjects, including healthy donors and immunocompromised subjects. The standardized kit detected 62.1% (41/66) of T cell responders. Ag2 tube showed a higher IFN-γ quantitative and qualitative response. Ag1 tube response was mainly mediated by CD4+ T cells; Ag2 tube response was mediated by CD4+ and CD8+ T cells. The homemade-IGRA-SPIKE test detected a higher number of responders (52/66, 78.8%) than the QuantiFERON SARS-CoV-2 assay (P = 0.056). The response was found in both T cell subsets, although a higher magnitude and response rate was observed in the CD4+ T cell subset. Conclusion: The QuantiFERON SARS-CoV-2 response is mediated by CD4+ and CD8+ T cells. A lower number of responders is found compared with the homemade-IGRA-SPIKE test, likely because of the different peptide composition. [ABSTRACT FROM AUTHOR]

Published
2022
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14. Identification of Two Major Conformational Aquaporin-4 Epitopes for Neuromyelitis Optica Autoantibody Binding.

Author

Pisani, Francesco, Mastrototaro, Mauro, Rossi, Andrea, Nicchia, Grazia Paola, Tortorella, Carla, Ruggieri, Maddalena, Trojano, Maria, Frigeri, Antonio, and Svelto, Maria

Subjects
*PROTEIN conformation, *AUTOANTIBODIES, *AQUAPORINS, *AMINO acid sequence, *EPITOPES
Abstract

Neuromyelitis optica (NMO) is an autoimmune demyelinating disease characterized by the presence of anti-aquaporin-4 (AQP4) antibodies in the patient sera. We recently reported that these autoantibodies are able to bind AQP4 when organized in the supramolecular structure called the orthogonal array of particles (OAP). To map the antigenic determinants, we produced a series of AQP4 mutants based on multiple alignment sequence analysis between AQP4 and other OAP-forming AQPs. Mutations were introduced in the three extracellular loops (A, C, and E), and the binding capacity of NMO sera was tested on AQP4 mutants. Results indicate that one group of sera was able to recognize a limited portion of loop C containing the amino acid sequence 146GVT(T/M)V150. A second group of sera was characterized by a predominant role of loop A. Deletion of four AQP4-specific amino acids (61G(S/T)E(N/K)64) in loop A substantially affected the binding of this group of sera. However, the binding capacity was further reduced when amino acids in loop A were mutated together with those in loop E or when those in loop C were mutated in combination with loop E. Finally, a series of AQP0 mutants were produced in which the extracellular loops were progressively changed to make them identical to AQP4. Results showed that none of the mutants was able to reproduce in AQP0 the NMO-IgG epitopes, indicating that the extracellular loop sequence by itself was not sufficient to determine the rearrangement required to create the epitopes. Although our data highlight the complexity of the disease, this study identifies key immunodominant epitopes and provides direct evidence that the transition from AQP4 tetramers to AQP4-OAPs involves conformational changes of the extracellular loops. [ABSTRACT FROM AUTHOR]

Published
2011
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