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176 results on '"Monacelli, Fiammetta"'

3. NAD+ metabolism restriction boosts high-dose melphalan efficacy in patients with multiple myeloma

Author

Soncini, Debora, Becherini, Pamela, Ladisa, Francesco, Ravera, Silvia, Chedere, Adithya, Gelli, Elisa, Giorgetti, Giulia, Martinuzzi, Claudia, Piacente, Francesco, Mastracci, Luca, Veneziano, Claudia, Santamaria, Gianluca, Monacelli, Fiammetta, Ghanem, Moustafa S., Cagnetta, Antonia, Guolo, Fabio, Garibotto, Matteo, Aquino, Sara, Passalaqua, Mario, Bruzzone, Santina, Bellotti, Axel, Duchosal, Michel A., Nahimana, Aimable, Angelucci, Emanuele, Nagasuma, Chandra, Nencioni, Alessio, Lemoli, Roberto Massimo, and Cea, Michele

Published
2024
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4. Fasting-mimicking diet cycles reduce neuroinflammation to attenuate cognitive decline in Alzheimer’s models

Author

Rangan, Priya, Lobo, Fleur, Parrella, Edoardo, Rochette, Nicolas, Morselli, Marco, Stephen, Terri-Leigh, Cremonini, Anna Laura, Tagliafico, Luca, Persia, Angelica, Caffa, Irene, Monacelli, Fiammetta, Odetti, Patrizio, Bonfiglio, Tommaso, Nencioni, Alessio, Pigliautile, Martina, Boccardi, Virginia, Mecocci, Patrizia, Pike, Christian J., Cohen, Pinchas, LaDu, Mary Jo, Pellegrini, Matteo, Xia, Kyle, Tran, Katelynn, Ann, Brandon, Chowdhury, Dolly, and Longo, Valter D.

Published
2022
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5. Identification of new FK866 analogues with potent anticancer activity against pancreatic cancer

Author

Bai, Jian-Fei, Majjigapu, Somi Reddy, Sordat, Bernard, Poty, Sophie, Vogel, Pierre, Elías-Rodríguez, Pilar, Moreno-Vargas, Antonio J., Carmona, Ana T., Caffa, Irene, Ghanem, Moustafa, Khalifa, Amr, Monacelli, Fiammetta, Cea, Michele, Robina, Inmaculada, Gajate, Consuelo, Mollinedo, Faustino, Bellotti, Axel, Nahimana, Aimable, Duchosal, Michel, and Nencioni, Alessio

Published
2022
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7. Assessing palliative care needs in patients with dementia: A cross-sectional analysis of an predominantly oldest-old population from a geriatric memory clinic.

Author

Tagliafico, Luca, Drago, Bianca, Ottaviani, Silvia, Nencioni, Alessio, and Monacelli, Fiammetta

Subjects
ALZHEIMER'S disease, PALLIATIVE treatment, DEMENTIA patients, GERIATRIC assessment, OLDER people
Abstract

In this cross-sectional study, we assessed palliative care (PC) needs in older adults with dementia. Using the NECPAL CCOMS-ICO© 3.1 tool and comprehensive geriatric assessment, 16.25% of the 554 evaluated patients required PC, which had clinical frailty and a moderate stage of dementia. Advanced frailty was associated with the poorest prognosis, according to the PC-based stratification. Our findings support the use of PC assessment in dementia care, which focuses on a person-centered approach while minimizing unnecessary or ineffective treatments and meeting the real-world patient's needs. PC care may fulfill the multidimensional nature of dementia, shifting towards personalized palliative approaches. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Pharmacological Pain Treatment in Older Persons: Pharmacological Pain Treatment in Older Persons: G. Pickering et al.

Author

Pickering, Gisèle, Kotlińska-Lemieszek, Aleksandra, Krcevski Skvarc, Nevenka, O'Mahony, Denis, Monacelli, Fiammetta, Knaggs, Roger, Morel, Véronique, and Kocot-Kępska, Magdalena

Subjects
ELDER care, NONSTEROIDAL anti-inflammatory agents, HETEROCYCLIC compounds, CODEINE, DRUG administration routes, DRUG overdose, KIDNEY function tests, DRUG side effects, MORPHINE, METHADONE hydrochloride, NOCICEPTIVE pain, POLYPHARMACY, OXYCODONE, TRAMADOL, ANTIDEPRESSANTS, PAIN, OPIOID analgesics, PAIN management, DRUG interactions, GERIATRIC assessment, COMORBIDITY, ACETAMINOPHEN, FENTANYL, BUPRENORPHINE, ANTICONVULSANTS, LIDOCAINE, DISEASE risk factors, OLD age
Abstract

Pharmacological pain treatment in older persons is presented by a multi-disciplinary group of European pain experts. Drugs recommended for acute or chronic nociceptive pain, also for neuropathic pain and the routes of administration of choice are the same as those prescribed for younger persons but comorbidities and polypharmacy in older persons increase the risk of adverse effects and drug interactions. Not all drugs are available or authorised in all European countries. For mild-to-moderate pain, non-opioids including paracetamol and non-steroidal anti-inflammatory drugs are first-line treatments, followed by nefopam and metamizole. Codeine, dihydrocodeine and tramadol are prescribed for moderate to severe pain and 'strong' opioids, including morphine, hydromorphone, oxycodone, fentanyl, buprenorphine, methadone and tapentadol, for severe pain. Chronic neuropathic pain treatment relies on coanalgesics, including anti-epileptics (gabapentinoids) and anti-depressants with additional option of topical lidocaine and capsaicine. The choice of analgesic(s) and the route of administration should be guided by the pain characteristics, as well as by the patient's comorbidities, organ function and medications. Several directions have been highlighted to optimise pharmacological pain management in older individuals: (1) before starting pain treatment adequately detect and assess pain and always perform a full geriatric assessment, (2) consider kidney function systematically to adjust the doses of analgesics and avoid the risks of overdose, (3) start with the lowest dose of an analgesic and increase it gradually under the control of the effect, (4) involve the older persons and family in their treatment, (5) reevaluate pain regularly during treatment and (6) combine pharmacological treatment with non-pharmacological approaches. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Frailty and Overall Survival of Older Patients Undergoing Radiotherapy for Head and Neck Cancer: A Prospective Analysis.

Author

Giannotti, Chiara, Ottaviani, Silvia, Muzyka, Mariya, Tagliafico, Luca, Bacigalupo, Almalina, Belgioia, Liliana, Tominaj, Celjeta, Vecchio, Stefania, Monacelli, Fiammetta, and Nencioni, Alessio

Subjects
HEAD & neck cancer treatment, RADIOTHERAPY, RESEARCH funding, FRAIL elderly, RADIATION injuries, LOGISTIC regression analysis, QUESTIONNAIRES, TREATMENT effectiveness, DESCRIPTIVE statistics, DECISION making in clinical medicine, LONGITUDINAL method, GERIATRIC assessment, CONFIDENCE intervals, SURVIVAL analysis (Biometry), INDIVIDUALIZED medicine, OVERALL survival, PROPORTIONAL hazards models, OLD age, EVALUATION
Abstract

Simple Summary: Head and neck squamous cell carcinoma (HNSCC) is a common cancer in older adults, but treatment decisions for these patients can be challenging due to age-related factors, such as frailty. This study aimed to evaluate how pre-treatment frailty assessment can help predict survival outcomes and treatment-related side effects in older patients with HNSCC who undergo radiotherapy, with or without chemotherapy. We found that frailty plays a significant role in determining overall survival, but it was not directly related to acute radiation toxicity. Our findings suggest that incorporating frailty assessment into treatment planning could help personalize therapy for older patients, improving decision-making and potentially enhancing long-term outcomes. Background/Objectives: Over 60% of diagnoses of head and neck squamous cell carcinoma (HNSCC) occur in patients aged over 65. The benefits of radiotherapy (RT) combined with chemotherapy remain controversial in geriatric patients. Frailty stratification is underutilized in clinical practice despite evidence suggesting its predictive power. We aimed to assess the impact of pre-treatment frailty stratification on overall survival (OS) and acute radiation-related toxicity in a cohort of older patients with HNSCC. Methods: A prospective cohort of 117 patients aged ≥65 years with newly diagnosed HNSCC was enrolled between 2017 and 2022. Patients received RT with or without chemotherapy. Frailty was assessed using the 40-item Frailty Index (FI) as part of a comprehensive geriatric assessment. The primary outcomes were OS and acute RT toxicity, defined as a grade ≥ 3 based on CTCAE 5.0. Cox proportional hazard models and logistic regression models, adjusted for age, tumor stage, and chemotherapy, were used. Results: After a median follow-up of 819 days, FI (HR 1.478, 95% CI 1.182–1.848, p < 0.001) was an independent predictor of OS. Grade ≥ 3 toxicities were observed in 38% of patients, but frailty was not significantly associated with toxicity. A sub-analysis of oropharyngeal carcinoma patients demonstrated improved OS in HPV-positive patients (HR 0.231, 95% CI 0.078–0.686, p = 0.008). Conclusions: the standardized introduction of frailty assessment in the evaluation of older HNSCC patients holds great promise for predicting long-term survival. This approach could be crucial in tailoring treatment protocols that account for the biological heterogeneity of older adults. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Tipping the Balance Between Cognitive Reserve, Frailty, and Dementia in the Very Old?

Author

Ottaviani, Silvia, Tagliafico, Luca, Muzyka, Mariya, Page, Elena, Ottaviani, Ennio, Ponzano, Marta, Signori, Alessio, Nencioni, Alessio, and Monacelli, Fiammetta

Subjects
AMNESTIC mild cognitive impairment, ALZHEIMER'S disease, OLDER people, OLDER patients, GERIATRIC assessment
Abstract

Background: As the population ages, the concept of frailty becomes increasingly relevant and may be considered a precursor between aging and the development of dementia in later life. Similarly, the construct of cognitive reserve (CR) is an accepted model of cognitive resilience that may account for individual differences in trajectories of brain aging, mitigating the clinical expression of dementia. Objective: We aim to estimate the role of CR and frailty in moderating the prediction of dementia in the population aged over 80 who are attending an Italian outpatient memory clinic. Methods: Comprehensive Geriatric Assessment, Clinical Frailty Scale (CFS) to screen for frailty, and Cognitive Reserve Index questionnaire (CRIq) to evaluate CR, were used to assess patients systematically. We performed multivariate logistic regression to assess associations with dementia. Model performance and interaction between frailty and cognitive reserve were then evaluated. Results: 166 patients were consecutively enrolled (mean age was 85.7 years old, females composed 68%); 25% had a diagnosis of amnestic mild cognitive impairment, and 75% had a diagnosis of dementia. Multivariate regression analysis showed that CRIq and CFS were the main clinical assessment tools associated with the presence of dementia, even after collinearity adjustment. No significant interaction of CFS*CRIq was found. Conclusions: To our knowledge, this is the first study to investigate the association between CR, frailty, dementia, and their related interacting terms in a real-world population of very old patients. Our findings may suggest that both CR and frailty shape an individual's resilience throughout their lifetime. This may potentially counteract the effects of brain neuropathology, in line with the hypothesis that meaningful associations exist between CR, frailty, and cognition in later life. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Short‐term starvation activates AMPK and restores mitochondrial inorganic polyphosphate, but fails to reverse associated neuronal senescence.

Author

Tagliafico, Luca, Da Costa, Renata T., Boccia, Lavinia, Kavehmoghaddam, Sheida, Ramirez, Bryan, Tokarska‐Schlattner, Malgorzata, Scoma, Ernest R., Hambardikar, Vedangi, Bonfiglio, Tommaso, Caffa, Irene, Monacelli, Fiammetta, Schlattner, Uwe, Betley, J. Nicholas, Nencioni, Alessio, and Solesio, Maria E.

Subjects
MITOCHONDRIAL physiology, AMP-activated protein kinases, NEURODEGENERATION, AGING, BIOENERGETICS
Abstract

Neuronal senescence is a major risk factor for the development of many neurodegenerative disorders. The mechanisms that drive neurons to senescence remain largely elusive; however, dysregulated mitochondrial physiology seems to play a pivotal role in this process. Consequently, strategies aimed to preserve mitochondrial function may hold promise in mitigating neuronal senescence. For example, dietary restriction has shown to reduce senescence, via a mechanism that still remains far from being totally understood, but that could be at least partially mediated by mitochondria. Here, we address the role of mitochondrial inorganic polyphosphate (polyP) in the intersection between neuronal senescence and dietary restriction. PolyP is highly present in mammalian mitochondria; and its regulatory role in mammalian bioenergetics has already been described by us and others. Our data demonstrate that depletion of mitochondrial polyP exacerbates neuronal senescence, independently of whether dietary restriction is present. However, dietary restriction in polyP‐depleted cells activates AMPK, and it restores some components of mitochondrial physiology, even if this is not sufficient to revert increased senescence. The effects of dietary restriction on polyP levels and AMPK activation are conserved in differentiated SH‐SY5Y cells and brain tissue of male mice. Our results identify polyP as an important component in mitochondrial physiology at the intersection of dietary restriction and senescence, and they highlight the importance of the organelle in this intersection. [ABSTRACT FROM AUTHOR]

Published
2024
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14. The Potential Effects of Red Wine and Its Components on Neurocognitive Disorders: A Narrative Review.

Author

Boccardi, Virginia, Tagliafico, Luca, Persia, Angelica, Page, Elena, Ottaviani, Silvia, Cremonini, Anna Laura, Borgarelli, Consuelo, Pisciotta, Livia, Mecocci, Patrizia, Nencioni, Alessio, and Monacelli, Fiammetta

Abstract

Background: The aging population is associated with a net increase in the incidence and prevalence of chronic-degenerative diseases, particularly neurocognitive disorders. Therefore, the identification of preventative strategies to restrain the burden of such chronic conditions is of key relevance. Red wine and its components have accumulated evidence regarding their positive effects in terms of neurological pathologies associated with neurocognitive symptoms. Methods: Based on this background, the present narrative review aims to summarize the state-of-the-art evidence on the effects of red wine and its components on neurocognitive disorders in both preclinical and clinical settings. Results: The main findings highlight a protective effect of wine polyphenols present in red wine on dementia in different preclinical models of cognitive decline. The current translational clinical evidence remains uncertain, especially considering the risk-to-benefit ratio of alcohol consumption on brain health. Conclusions: Given the overall health risks associated with red wine consumption and consistent with the prevailing guidelines in the literature, there is insufficient evidence to support light-to-moderate red wine consumption as an effective strategy for preventing these diseases. However, the largely preclinical findings on polyphenols derived from red wine remain of significant interest in this context. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Limbic Network Derangement Mediates Unawareness of Apathy in Mild Cognitive Impairment due to Alzheimer's Disease: Clues from [18F]FDG PET Voxel-Wise Analysis.

Author

Kreshpa, Wendy, Raffa, Stefano, Girtler, Nicola, Brugnolo, Andrea, Mattioli, Pietro, Orso, Beatrice, Calizzano, Francesco, Arnaldi, Dario, Peira, Enrico, Chincarini, Andrea, Tagliafico, Luca, Monacelli, Fiammetta, Calcagno, Pietro, Serafini, Gianluca, Gotta, Fabio, Mandich, Paola, Pretta, Stefano, Del Sette, Massimo, Sofia, Luca, and Sambuceti, Gianmario

Subjects
MILD cognitive impairment, ALZHEIMER'S disease, CINGULATE cortex, BRAIN metabolism, CAREGIVERS
Abstract

Background: Discrepancy between caregiver and patient assessments of apathy in mild cognitive impairment (MCI) is considered an index of apathy unawareness, independently predicting progression to AD dementia. However, its neural underpinning are uninvestigated. Objective: To explore the [18F]FDG PET-based metabolic correlates of apathy unawareness measured through the discrepancy between caregiver and patient self-report, in patients diagnosed with MCI. Methods: We retrospectively studied 28 patients with an intermediate or high likelihood of MCI-AD, progressed to dementia over an average of two years, whose degree of apathy was evaluated by means of the Apathy Evaluation Scale (AES) for both patients (PT-AES) and caregivers (CG-AES). Voxel-based analysis at baseline was used to obtain distinct volumes of interest (VOIs) correlated with PT-AES, CG-AES, or their absolute difference (DISCR-AES). The resulting DISCR-AES VOI count densities were used as covariates in an inter-regional correlation analysis (IRCA) in MCI-AD patients and a group of matched healthy controls (HC). Results: DISCR-AES negatively correlated with metabolism in bilateral parahippocampal gyrus, posterior cingulate cortex, and thalamus, PT-AES score with frontal and anterior cingulate areas, while there was no significant correlation between CG-AES and brain metabolism. IRCA revealed that MCI-AD patients exhibited reduced metabolic/functional correlations of the DISCR-AES VOI with the right cingulate gyrus and its anterior projections compared to HC. Conclusions: Apathy unawareness entails early disruption of the limbic circuitry rather than the classical frontal-subcortical pathways typically associated with apathy. This reaffirms apathy unawareness as an early and independent measure in MCI-AD, marked by distinct pathophysiological alterations. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Multidimensional-Based Prediction of Pressure Ulcers Development and Severity in Hospitalized Frail Oldest Old: A Retrospective Study.

Author

Ottaviani, Silvia, Rondanina, Eleonora, Arnone, Floriana, Brucato, Virna, Campigli, Roberto, Bona, Massimo Della, Tagliafico, Luca, Ottaviani, Ennio, Nencioni, Alessio, and Monacelli, Fiammetta

Subjects
FRAIL elderly, GERIATRIC care units, NUTRITIONAL assessment, OLDER people, PHYSICAL mobility
Abstract

Purpose: In recent times, growing uncertainty has emerged regarding the effectiveness of standard pressure ulcer (PU) risk assessment tools, which are suspected to be no better than clinical judgment, especially in the frail and comorbid elderly population. This study aimed to identify the primary clinical predictive variables for PU development and severity in hospitalized older adults, utilizing a multidimensional frailty assessment, and compare them with the Braden scale. Patients and methods: The population consisted of 316 patients, admitted to the Geriatric Unit and Transitional Care of San Bartolomeo Hospital in Sarzana (Italy) during the period 21/02/22-01/07/22. The collected information included both anamnestic and laboratory data. A comprehensive geriatric assessment was performed, including also anthropometric and physical performance measurements. Multivariate logistic analysis was used, both in a binary classification test and in the subsequent ordinal classification test of severity levels. The final performance of the model was assessed by ROC curve estimation and AUC comparison with the Braden scale. Results: Within the population, 152 subjects (48%) developed PU at different levels of severity. The results showed that age, Braden scale (subscales of mobility and friction/shear), Barthel scale, Mini Nutritional Assessment, hemoglobin, and albumin are predictors associated with the development of PU (AUC 85%). The result is an improvement over the use of the Braden scale alone (AUC 75%). Regarding the identification of predictive factors for PU severity, 4AT also emerges as potentially relevant. Conclusion: Assessing the subject's nutritional status, physical performance, and functional autonomies enables the effective integration of the Braden scale in identifying patients most susceptible to developing PU. Our findings support the integration of a comprehensive set of methodologically robust frailty determinants into traditional risk assessment tools. This integration reflects the mutual interplay between patients' frailty, skin frailty, and PU development in very old hospitalized patients. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Clinical characteristics, management and in-hospital mortality of patients with coronavirus disease 2019 in Genoa, Italy

Author

Alessandrini, Anna, Camera, Marco, Delfino, Emanuele, De Maria, Andrea, Dentone, Chiara, Di Biagio, Antonio, Dodi, Ferdinando, Ferrazin, Antonio, Mazzarello, Giovanni, Mikulska, Malgorzata, Nicolini, Laura, Toscanini, Federica, Giacobbe, Daniele R., Vena, Antonio, Taramasso, Lucia, Balletto, Elisa, Portunato, Federica, Schenone, Eva, Rosseti, Nirmala, Baldi, Federico, Berruti, Marco, Briano, Federica, Dettori, Silvia, Labate, Laura, Magnasco, Laura, Mirabella, Michele, Pincino, Rachele, russo, Chiara, Sarteschi, Giovanni, sepulcri, Chiara, Tutino, Stefania, Pontremoli, Roberto, Beccati, Valentina, Casciaro, Salvatore, Casu, Massimo, Gavaudan, Francesco, Ghinatti, Maria, Gualco, Elisa, Leoncini, Giovanna, pitto, Paola, salam, Kassem, Gratarola, Angelo, Bixio, Mattia, Amelia, Annalisa, Balestra, Andrea, Ballarino, Paola, Bardi, Nicholas, Boccafogli, Roberto, Caserza, Francesca, Calzolari, Elisa, Castelli, Marta, Cenni, Elisabetta, Cortese, Paolo, Cuttone, Giuseppe, Feltrin, Sara, Giovinazzo, Stefano, Giuntini, Patrizia, Natale, Letizia, Orsi, Davide, Pastorino, Matteo, Perazzo, Tommaso, Pescetelli, Fabio, Schenone, Federico, Serra, Maria G., Sottano, Marco, Tallone, Roberto, Amelotti, Massimo, Majabò, Marie J., Merlini, Massimo, Perazzo, Federica, Ahamd, Nidal, Barbera, Paolo, Bovio, Marta, Campodonico, Paola, Collidà, Andrea, Cutuli, Ombretta, Lomeo, Agnese, Fezza, Francesca, Gentilucci, Nicola, Hussein, Nadia, Malvezzi, Emanuele, Massobrio, Laura, Motta, Giula, Pastorino, Laura, Pollicardo, Nicoletta, Sartini, Stefano, Vacca, Paola, Virga, Valentina, Porto, Italo, Bezante, Giampaolo, Della Bona, Roberta, La Malfa, Giovanni, Valbusa, Alberto, Ad, Vered G., Barisione, Emanuela, Bellotti, Michele, Teresita, Aloe’, Blanco, Alessandro, Grosso, Marco, Piroddi, Maria Grazia, Moscatelli, Paolo, Caiti, Matteo, Magnani, Ottavia, Sukkar, Samir, Cogorno, Ludovica, Gradaschi, Raffaella, Guiddo, Erica, Martino, Eleonora, Pisciotta, Livia, Cavagliere, Bruno, Cristina, Rossi, Francesca, Farina, Garibotto, Giacomo, Esposito, Pasquale, Bellezza, Carmen, Harusha, Emirjona, Rossi, Francesca, Arboscello, Eleonora, Arzani, Laura, De Mattei, Laura, Spadaro, Marzia, Passalacqua, Giovanni, Bagnasco, Diego, Braido, Fulvio, Riccio, Annamaria, Tagliabue, Elena, Gustavino, Claudio, Ferraiolo, Antonella, Monacelli, Fiammetta, Mahmoud, Mona, Tagliafico, Luca, Napolitano, Armando, Fiorio, Maria, Pizzonia, Monica, Giannotti, Chiara, Nencioni, Alessio, Giuffrida, Salvatore, Rosso, Nicola, Morando, Alessandra, Papalia, Riccardo, Passerini, Donata, Tiberio, Gabriella, Orengo, Giovanni, Battaglini, Alberto, Ruffoni, Silvano, Caglieris, Sergio, Giacobbe, Daniele Roberto, Ball, Lorenzo, Brunetti, Iole, Loconte, Maurizio, Patroniti, Nicolò A., Robba, Chiara, Bavastro, Martina, Cerchiaro, Matteo, Giacomini, Mauro, Mora, Sara, Sepulcri, Chiara, Russo, Chiara, Pelosi, Paolo, and Bassetti, Matteo

Published
2020
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21. Understanding Factors Associated With Psychomotor Subtypes of Delirium in Older Inpatients With Dementia

Author

Rispoli, Vincenzo, Malara, Alba, Spadea, Fausto, Di Cello, Serena, Ceravolo, Francesco, Fabiano, Francesco, Chiaradia, Giuseppe, Gabriele, Amedeo, Lenino, Peluso, Andrea, Taristano, Settembrini, Vincenzo, Capomolla, Domenico, Citrino, Antonella, Scriva, Antonietta, Bruno, Irene, Secchi, Roberto, De Martino, Eugenio, Muccinelli, Roberto, Lupi, Gerardo, Paonessa, Patrizio, Fabbri, Andrea, Passuti, Maria Teresa, Castellari, Sofia, Po, Andrea, Gaggioli, Guido, Varesi, Massimo, Moneti, Paolo, Capurso, Sebastiano, Latini, Vincenzo, Ghidotti, Stefano, Riccardelli, Francesco, Macchi, Maurizio, Rigo, Rosaria, Claudio, Pascale, Angelo, Bosio, Flavio, Cerrato, Benedetta, Bardelli, Boffelli, Stefano, Cassinadri, Angela, Franzoni, Simone, Spazzini, Elena, Andretto, Daniela, Tonini, Gabriele, Andreani, Laura, Coralli, Mirco, Balotta, Antonio, Cancelliere, Roberto, Ballardini, Giorgio, Simoncelli, Margherita, Mancini, Annarita, Strazzacapa, Mara, Fabio, Stefano, De Filippi, Francesco, Giudice, Chiara, Dentizzi, Cosimo, Azzini, Margherita, Cazzadori, Marco, Mastroeni, Valeria, Bertassello, Paolo, Claudia Benati, Helena Santana, Nesta, Elisa, Tobaldini, Chiara, Guerini, Fabio, Elena, Tambara, Mombelloni, Paolo, Fontanini, Fulvio, Gabriella, Lassa, Pizzorni, Crosio, Oliverio, Martina, Del Grosso, Luciano Luca, Giavedoni, Cristina, Bidoli, Giuliano, Mazzei, Bruno, Corsonello, Andrea, Fusco, Sergio, Vena, Silvio, De Vuono, Tommaso, Maiuri, Giorgio, Luca, Fimognari Filippo, Andrea, Arone, Giovanni, Sgrò, Rossella, Nicolazzo, Castegnaro, Eugenio, De Rosa, Salvatore, Sechi, Rossella Bazzano, Benvenuti, Enrico, Del Lungo, Ilaria, Giardini, Sante, Giulietti, Chiara, Mauro, Di Bari, Eleonora, Barghini, Martina, Paoli, Irene, Fiordelli, Riccardo, Barucci, Federica, Sgrilli, Ilaria, Del Lungo, Bertoletti, Erik, D'Amico, Ferdinando, Caronzolo, Francesco, Grippa, Alessandro, Lombardo, Giuseppina, Pipicella, Tiziana, Antonino, Saitta, Francesco, Corica, Valeria, Prestipino Giarritta, Daniela, Larosa, Domenico, Cucinotta, Giorgio, Basile, March, Albert, Nitti, Maria Teresa, Felici, Alessandro, Pavan, Silvia, Piazzani, Fabrizio, Lunelli, Alessandra, Dimori, Sergio, Margotta, Alessandro, Soglia, Tiziano, Postacchini, Demetrio, Brunelli, Roberto, Santini, Silvia, Francavilla, Monia, Macchiati, Ilenia, Sorvillo, Francesca, Giuli, Cinzia, Mecocci, Patrizia, Longo, Annalisa, Perticone, Francesco, Addesi, Desireè, Rosa, Paola Cerra, Bencardino, Giuseppe, Falbo, Tania, Grillo, Nadia, Marco, Filice, Mirella, Flippo, Fantò, Fausto, Isaia, Gianluca, Pezzilli, Stella, Bergamo, Daniele, Furno, Elisabetta, Rrodhe, Sokol, Lucarini, Simonetta, Dijk, Babette, Dall'Acqua, Francesca, Cappelletto, Francesco, Calvani, Donatella, Becheri, Dimitri, Giuseppe, Mottino, Costanza, Mitidieri, Vito, Antonio, Francesca, Bartalucci, Magherini, Lorenza, Novella, Malin, Franca, Boni, Lucia Gambardella, Paoli Martina, Valente, Carlo, Ilaria, Bracali, Alice, Foschini, Bo, Mario, Porrino, Paola, Ceci, Giacomo, Giuliana, Bottignole, Michela, Tibaldi, Eleonora, Coppo, Ettore, Evaristo, Camellini, Cinzia, Servello, Adriana, Grassi, Alessandro, Rozzini, Renzo, Tironi, Sara, Grassi, Maria Grazia, Troisi, Elio, Carlo, Caltagirone, Simona Gabriella, Di Santo, Flaminia, Franchini, Federica, Ratto, Beatrice, Pavoni, Sofia, Toniolo, Gabutto, Anna, Quazzo, Loredana, Rosatello, Annalisa, Suraci, Domenico, Tagliabue, Benedetta, Perrone, Chiara, Ferrara, Lucia, Castagna, Alberto, Tremolada, Maria Luisa, Giuseppe, Castoldi, Stefano, Barbero, Davide, Oltramonti, Piano, Simonetta, Serviddio, Gaetano, Lo Buglio, Aurelio, Gurrera, Tiziana, Merlo, Valeria, Rovai, Carla, Cotroneo, Antonino Maria, Carlucci, Rosaria, Abbaldo, Anna, Monzani, Fabio, Qasem, Ahmad Amedeo, Bini, Giacomo, Tafuto, Silvia, Galli, Giovanni, Bruni, Amalia Cecilia, Mancuso, Giovanna, Mancuso, Gerardo, Calipari, Daniela, Giuseppe Massimiliano, De Luca, Bernardini, Bruno, Corsini, Carla, Michele, Ciccarelli, Sara, Dal Farra, Cagnin, Annachiara, Fragiacomo, Federica, Pompanin, Sara, Piero, Amodio, Marco, Cagnin, Zurlo, Amedeo, Guerra, Gianluca, Pala, Marco, Menozzi, Luca, Gatti, Chiara Delli, Magon, Stefania, Roberto, Manfredini, Alfredo, De Giorgi, Fabio, Fabbian, Ruana, Tiseo, Elisa, Misurati, Benedetta, Boari, Christian, Molino, Marco, Pala, Massimo, Gallerani, Di Francesco, Vincenzo, Faccioli, Silvia, Pellizzari, Luca, Giorgia, Fontana, Barbagallo, Giuseppe, Lunardelli, Maria Lia, Martini, Emilio, Ferrari, Eleonora, Macchiarulo, Maria, Corneli, Maria, Bacci, Monica, Battaglia, Giuseppe, Anastasio, Luigi, Lo Storto, Mario Sostene, Seresin, Chiara, Simonato, Matteo, Loreggian, Michele, Cestonaro, Fausta, Durando, Mario, Latella, Raffaele, Mazzoleni, Marta, Russo, Giuseppe, Ponte, Martino, Valchera, Alessandro, Salustri, Giuseppe, Petritola, Donatella, Costa, Alfredo, Sinforiani, Elena, Cotta, Matteo Ramusino, Pizio, Renato Nicola, Cester, Alberto, Formilan, Marino, Pietro, Bonometto, Carbone, Pasqualina, Cazzaniga, Ilaria, Appollonio, Ildebrando, Cereda, Diletta, Stabile, Andrea, Xhani, Rubjona, Acampora, Roberto, Tremolizzo, Lucio, Federico, Pieruzzi, Antonio, Ciaccio, Valerio, Pontecorvi, Cesare, Burti, Zhirajr, Mokini, Giovanni, Vitale, Maria, Amigoni, Mariaelena, Sparacino, Bottacchi, Edo, Bucciantini, Elisabetta, Di Giovanni, Marco, Franchi, Fabrizio, Lucchetti, Lucio, Mariani, Claudio, Grande, Giulia, Rapazzini, Piero, Marco, Mauri, Romanelli, Giuseppe, Marengoni, Alessandra, Franco, Nicosia, Alessio, Margola, Stefano, Bonardelli, Nicola, Latronico, Laura, Porcella, Nazario, Portolani, Carlo, Concoreggi, Chiara, Grassini, Soccorso, Pronto, Andrea, Salvi, Luca, Bianchetti, Francesca, Spagnoli, Roberto, Apuzzo, Marco, Fontanella, Anna, Ceraso, Francesco, Castelli, Fugazza, Luciano, Guerrini, Chiara, De Paduanis, Giovanna, Iallonardo, Lucia, Palumbo, Pasquale, Zuliani, Giovanni, Ortolani, Beatrice, Capatti, Eleonora, Soavi, Cecilia, Bianchi, Lara, Francesconi, Daniela, Miselli, Agata, Gloria, Brombo, Tommaso, Romagnoli, Chiara, Pazzaglini, Agata, Miselli Maria, Marco, Dall'Agata, Luca, Menozzi, Gianluca, Guerra, Suardi, Teresa, Mazzone, Andrea, Zaccarini, Cinzia, Manuela, Riva, Mirra, Gianluca, Muti, Ettore, Bottura, Renato, Gianpaolo, Moretti, Secreto, Piero, Bisio, Erika, Cecchettani, Marco, Naldi, Tamara, Pallavicino, Alessandra, Pugliese, Michela, Iozzo, Rosaria Cosima, Grassi, Guido, Michele, Bombelli, Raffaella, Dell'Oro, Fosca, Quarti Trevano, Giorgio, Giussani Carlo, Giovanni, Paternò, Ernesto, Contro, Mannironi, Antonio, Giorli, Elisa, Oberti, Sara, Fierro, Brigida, Piccoli, Tommaso, Giacalone, Fabio, Mandas, Antonella, Serchisu, Luca, Costaggiu, Diego, Pinna, Elisa, Orrù, Francesca, Mannai, Martina, Cordioli, Zeno, Pelizzari, Luca, Turcato, Emanuela, Arduini, Pietro, Cacace, Carlo, Chiloiro, Roberta, Cimino, Rosella, Ruberto, Carmen, Giovanni, Ruotolo, Pietro, Gareri, Laura, Greco, Alberto, Castagna, Carmen, Ruberto, Santo, Pierluigi Dal, Andriolli, Antonino, Burattin, Giuseppe, Rossi, Laura, Andreolli Antonino, Cervati Giovanna, Giuseppe, Catalano, Tezza, Fabiana, Maddalena, Pizzardini, Laura, Stievano, Crippa, Patrizia, Aloisio, Paola, Di Monda, Tiziana, Malighetti, Alessandro, Galbassini, Gloria, Salutis, Domus, Ivaldi, Claudio, Russo, Anna Maria, Bennati, Ettore, Pino, Elisabetta, Zavarise, Gianmaria, Pesci, Alberto, Suigo, Giulia, Faverio, Paola, Andrea, Gori, Sabrina, Perego, Zanasi, Massimo, Moniello, Giovanni, Rostagno, Carlo, Cartei, Alessandro, Polidori, Gianluca, Ungar, Andrea, Melis, Maria Ramona, Martellini, Eleonora, Enrico, Mossello, Monica, Torrini, Antonella, Giordano, Giovanna, Leone, Migliorini, Marta, Caramelli, Francesca, Battiston, Bruno, Berardino, Maurizio, Cavallo, Simona, Alessandro, Massè, Anna, Santoro, Lombardi, Bruna, D'Ippolito, Pierpaolo, Furini, Angela, Villani, Daniele, Clara, Raimondi, Guarneri, Massimo, Paolucci, Stefano, Bassi, Andrea, Coiro, Paola, De Angelis, Domenico, Morone, Giovanni, Venturiero, Vincenzo, Palleschi, Lorenzo, Raganato, Paolo, Di Niro, Giuseppina, Rosa, Casini Anna, Loredana, Bove, Imoscopi, Alessandra, Isaia, Giancarlo, Tibaldi, V., Bottignole G, G., Calvi, E., Clementi, C., Zanocchi, M., Agosta, L., Nortarelli, Antonella, Provenzano, Giuseppe, Mari, Daniela, Romano, Federica Ylenia, Rosini, Francesca, Mansi, Marta, Rossi, Silvia, Geriatria, Alex Riccardelli, Inzaghi, Lorenzo, Bonini, Giulia, Rossi, Paolo, Potena, Alfredo, Lichii, Mihaela, Candiani, Tiziana, Grimaldi, William, Bertani, Emiliano, Alessandra, Porta, Calogero, Pietro, Pinto, Daniela, Bernardi, Roberto, Nicolino, Francesco, Galetti, Caterina, Gianstefani, Alice, Giulia, Corvalli, Lorenzo, Mulazzani, Odetti, Patrizio, Monacelli, Fiammetta, Prefumo, Matteo, Fiammetta, Monacelli, Canepa, Marta, Minaglia, Cecilia, Paolisso, Giuseppe, Rizzo, Maria Rosaria, Prestano, Raffaele, Dalise, Anna Maria, Barra, Davide, Bosco, Livio Dal, Asprinio, Vincenzo, Dallape, Luciana, Perina, Elisa, Incalzi, Raffaele Antonelli, Bartoli, Isaura Rossi, Pluderi, Alice, Maina, Antonella, Pecoraro, Elisabetta, Sciarra, Michela, Prudente, Angela, Paola, Maina, Francesca, Mete, Manuel, Ventura, Luisella, Cesari, Maria, Pernigotti Luigi, Tina, Santangelo, Benini, Lucia, Levato, Francesco, Mhiuta, Victor, Alius, Florin, Davidoaia, Diana, Giardini, Vittorio, Garancini, Mattia, Bellamoli, Claudio, Terranova, Luciano, Bozzini, Claudia, Tosoni, Paolo, Provoli, Emma, Cascone, Luisa, Dioli, Andrea, Ferrarin, Gianfranco, Bucci, Adelmo, Bua, Guido, Fenu, Sara, Bianchi, Giovanna, Casella, Silvia, Romano, Valentina, Maurizio, Poli, Mascherona, Ilenia, Belotti, Gloria, Cavaliere, Sabina, Cuni, Estella, Merciuc, Nina, Oberti, Rosella, Veneziani, Silvia, Capoferri, Emanuela, De Bernardi, Elisabetta, Colombo, Katia, Bravi, Marco, Nicoletta, Negrinotti, D'Arcangelo, Paolo, Montenegro, Nicola, Montanari, Roberto, Lamanna, Pierpaolo, Gasperini, Beatrice, Isabella, Montesi, Stefania, Diotallevi, Gaia, Altobelli, Filippo, Calcinaro, Palamà, Chiara, Di Emidio, Chiara, Scarpini, Elio, Arighi, Andrea, Fumagalli, Giorgio, Basilico, Paola, De Amicis Margherita, Migone, Marta, Mancarella, Diletta, Maira, Granata, Antonino, Ranalli, Claudia, Cammilli, Alessandra, Cavallini, Maria Chiara, Tricca, Manola, Natella, Daniela, Gabbani, Luciano, Tesi, Francesca, Martella, Letizia, Imbrici, Rosalba, Guerrini, Gianbattista, Scotuzzi, Anna Maria, Sozzi, Ferdinando, Valenti, Luigi, Chiarello, Antonino, Monia, Monella, Pilotto, Alberto, Prete, Camilla, Senesi, Barbara, Meta, Anna Cristina, Pendenza, Enrico, Pasqualetti, Giuseppe, Polini, Antonio, Tognini, Sara, Ballino, Elena, Cherubini, Antonio, Dell'Aquila, Giuseppina, Gasparrini, Pina Maria, Marotti, Elisabetta, Migale, Monica, Scrimieri, Antonia, Falsetti, Lorenzo, Salvi, Aldo, Toigo, Gabriele, Ceschia, Giuliano, Rosso, Alessia, Tongiorgi, Chiara, Scarpa, Cristina, Maurizio, Pacchioni, De Dominicis, Luigino, Pucci, Eugenio, Renzi, Sara, Cartechini, Elisabetta, Tomassini, Pia Francesca, Del Gobbo, Maurizio, Ugenti, Francesca, Romeo, Pasquale, Nardelli, Anna, Lauretani, Fulvio, Visioli, Sandra, Montanari, Ilaria, Ermini, Francesca, Giordano, Antonio, Pigato, Giorgio, Simeone, Emilio, Barbujani, Mario, Giampieri, Marina, Amoruso, Raffaele, Piccinini, Maristella, Ferrari, Camilla, Gambetti, Claudio, Sfrappini, Mario, Semeraro, Letizia, Striuli, Rinaldo, Mariani, Claudia, Pelliccioni, Giuseppe, Marinelli, Donatella, Fabi, Katia, Rossi, Tommaso, Pesallaccia, Martina, Sabbatini, Debora, Gobbi, Beatrice, Cerqua, Raffaella, Tagliani, Giancarla, Schlauser, Elena, Caser, Luciano, Caramello, Elisa, Sandigliano, Franca, Rosso, Giorgio, Ferrari, Alberto, Bendini, Chiara, Luisa, Davoli Maria, Casella, Monica, Prampolini, Raffaella, Scevola, Moreno, Vitale, Enrico, Roberto, Brugiolo, Carlo, Fagherazzi, Sergio, Fusco, Alberto, Scarpa, Daniela, Zara, Giulia, Bertozzo, Serena, Granziera, Michele, Barazzuol, Maugeri, Domenico, Sorace, Rosaria, Anzaldi, Massimiliano, De Gesu, Roberto, Morrone, Giuseppe, Davolio, Federica, Fabbo, Andrea, Palmieri, Marina, Zoli, Marco, Forti, Paola, Pirazzoli, Luca, Fabbri, Elisa, Terenzi, Laura, Bergolari, Federica, Wenter, Christian, Ruffini, Ingrid, Insam, Miriam, Abraham, Elisabeth, Kirchlechner, Christine, Cucinotta, Domenico, Antonino, Lasco, Basile, Giorgio, Grazia, Arena Maria, Parise, Pasquale, Boccali, Andrea, Amici, Serena, Gambacorta, Maurizia, Lasagni, Anna, Lovati, Roberto, Giovinazzo, Francesca, Kimak, Elzbieta, Zappa, Paolo, Medici, Francesco, Lo Castro, Marika, Mauro, Flavia, De Luca, Alessandro, Sancesario, Giuseppe, Martorana, Alessandro, Scaricamazza, Beatrice, Toniolo, Sofia, Di Lorenzo, Francesco, Liguori, Claudio, Lasco, Antonino, Vita, Natale, Giomi, Mirna, Forte, Floriana, Padovani, Alessandro, Rozzini, Luca, Ceraso, Anna, Salvatore, Caratozzolo, Cottino, Maria, Vitali, Silvia, Marelli, Eleonora, Tripi, Gabriele, Miceli, Salvatore, Urso, Giovanni, Grioni, Giuseppe, Vezzadini, Giuliana, Misaggi, Giulia, Forlani, Chiara, Avanzi, Stefano, Serena, Saulle, Claudia, Casarini, Marilena, Viggiano, Alberto, Luisa, Diego, Ghianda, Alessandro, Giordano, Iemolo, Francesco, Giordano, Antonello, Sanzaro, Enzo, D'Asta, Gabriele, Proietto, Maria, Carnemolla, Anna, Razza, Grazia, Spadaro, Daniela, Bertolotti, Marco, Mussi, Chiara, Neviani, Francesca, Roberto, Chiesa, Valentina, Guerzoni, Linda, Morselli, Francesca, Venturelli, Tarozzi, Adriano, Balestri, Francesca, Mannarino, Giulio, Bigolari, Michela, Natale, Alessia, Grassi, Simona, Bottaro, Cinzia, Stefanelli, Sara, Bovone, Ugo, Tortorolo, Umberto, Quadri, Roberto, Leone, Giuseppe, Ponzetto, Maria, Frasson, Paola, Annoni, Giorgio, Bellelli, Giuseppe, Bruni, Adriana, Confalonieri, Roberto, Corsi, Maurizio, Moretti, Daniela, Teruzzi, Fabiola, Umidi, Simona, Mazzola, Paolo, Perego, Sabrina, Persico, Ilaria, Olivieri, Giulia, Bonfanti, Alessandra, Hajnalka, Szabò, Galeazzi, Marianna, Massariello, Francesca, Anzuini, Alessandra, Caffarra, Paolo, Barocco, Federica, Spallazzi, Marco, Paolo, Ceda Gian, Simonetta, Morganti, Andrea, Artoni, Chioatto, Paolo, Bortolamei, Sandra, Soattin, Lucia, Ruotolo, Giovanni, Beneamino, Borelli, Giuseppe, Barilaro, Bertazzoli, Marco, Rota, Elisabetta, Adobati, Annamaria, Scarpa, Alberto, Granziera, Serena, Zuccher, Paola, Fabbro, Angela Dal, Zara, Daniela, Lo Nigro, Ambra, Franchetti, Lorena, Toniolo, Marika, Marcuzzo, Cinzia, Rollone, Marco, Guerriero, Fabio, Sgarlata, Carmelo, Massè, Alessandro, Zatti, Giovanni, Piatti, Massimiliano, Graci, Jole, Benati, Giuseppe, Boschi, Federica, Biondi, Mario, Fiumi, Nicoletta, Erika, Tamburini, Locatelli, Sergio Mario, Mauri, Sabrina, Beretta, Mauro, Margheritis, Laura, Desideri, Giovanbattista, Liberatore, Ester, Carucci, Anna Cecilia, Bonino, Paolo, Caput, Margherita, Antonietti, Maria Paola, Polistena, Giuseppe, De la Pierre, Franz, Mari, Marcello, Massignani, Paola, Tombesi, Fabio, Selvaggio, Fabio, Verbo, Brunella, Bodoni, Paolo, Marchionni, Niccolò, Mossello, Enrico, Sabatini, Tony, Mussio, Eleonora, Magni, Eugenio, Bianchetti, Angelo, Crucitti, Andrea, Titoldini, Giulia, Cossu, Beatrice, Fascendini, Sara, Licini, Cristina, Tomasoni, Angela, Calderazzo, Massimo, Daniela, Tropiano, Valentina, Laganà, Melotti, Rita Maria, Lilli, Albina, Buda, Simona, Adversi, Marco, Noro, Gabriele, Turco, Renato, Ubezio, M Chiara, Mantovani, Anna Roberta, Viola, Maria Cristina, Serrati, Carlo, Pretta, Stefano, Infante, Maria, Gentile, Simona, Morandi, Alessandro, D'Ambrosio, Viviana, Mazzanti, Paolo, Brambilla, Cristina, Sportelli, Silvia, Platto, Caterina, Faraci, Bianca, Quattrocchi, Daniela, Pernigotti, Luigi Maria, Pisu, Cristina, Sicuro, Francesca, Zagnoni, Piergiuseppe, Ghiglia, Stefania, Mosca, Massimiliano, Corazzin, Ileana, Deola, Mariangela, Biagini, Carlo Adriano, Bencini, Francesca, Cantini, Claudia, Tonon, Elisabetta, Pierinelli, Silvia, Onofrj, Marco, Thomas, Astrid, Filomena, Borbone, Bonanni, Laura, Gabriella, Cacchiò, Comi, Giancarlo, Magnani, Giuseppe, Santangelo, Roberto, Mazzeo, Salvatore, Giuseppe, Magnani, Francesca, Caso, Giordano, Cecchetti, Roberto, Sant'Angelo, Barbieri, Cristina, Giroldi, Liviana, Bandini, Fabio, Masina, Marco, Malservisi, Simona, Cicognani, Annalena, Ricca, Laura, Piccininni, Maristella, Tassinari, Tiziana, Brogi, Davide, Sugo, Annalisa, Alessandra, Filippi, Sonia, Manfredi, Valerio, Vanni, Andrea, Usai Carlo, Enrico, Colombo, Vera, Renna Francesca, Assunta, Sauchella, Gianmaria, Zavarise, Mauro, Prete, Pietro, Bisagni, Roberto, Masini, Salvatore, Carrabetta, Barone, Antonella, Razzano, Monica, Giuseppe, Imperoli, Angela, Bini, Francesco, Serra, Valeria, D'Agostino, Federico, Gianolla, Lucia, Pietrangeli, Antonella, Velardi, Elisabetta, Di Cello, Cristina, Rosati, Nadia, Casali, Maria, Sessa, Luciano, Abruzzi, Chiara, Costanzi, Bini, Paolo, Pignata, Michele, Enrico, Buonagurio, Maria, Vollery, Giovanni, Carrieri, Giorgio, Cioni, Andrea, Toschi, Marco, Metra, Piera, Ranieri, Alberto, Zucchelli, Ceccon, Anna, Magrin, Laura, Marin, Sara, Barbara, Sofia, Marco, Masina, Laura, Ghedini, Matteo, Moroni, Marco, Paragona, Caterina, Pallotti Maria, Carla, Rota, Federica, Gottardi, Clara, Tomasoni, Melania, Cappuccio, Giampaolo, Bonini, Stefano, Guerini, Valeria, Guerini, Lucia, Merla, Giovambattista, Desideri, Ester, Liberatore, Cecilia, Carucci Anna, Maurizio, Tovaglieri, Vera, Renna Frandesca, Nadia, Bongiorni, Grillo, Antonio, Arenare, Francesca, Tonino, Mineo, David, Kanah, Giorgio, Vianello Piero, Ubaldo, Balducci, Vincenzo, Sidoti, Stefano, Montanari, Marino, Formilan, Busonera Flavio, Murelli Teodolindo, Paolo, Albanese, Monica, Maselli, Francesco, Bolzetta, Roberto, Fabris, Paolo, Bonino, DuranteMangoni, Emanuele, Testoni, Michela, Fabio, Di Stefano, Loredana, Seccia, Valeria, Sonzini, Fabiano, Maria, Annabella, Di Giorgio, Salvatore, De Cosmo, Greco, Antonio, Grazia, D'Onofrio, Daniele, Sancarlo, Gianluca, Resta, Renzo, Girardello, Sergio, Minervini, Morena, Boni, Vitali, Mariagrazia, Marina, Pizzoni, Paolo, De Colle, Cristina, Scarpa, Alessandra, Frattola, Orlandini, Francesco, La Regina, Micaela, Desirée, Addesi, Mirella, Filippo, Mario, Bo, Paola, Porrino, Padulo, Filomena, Cristina, Margheriti, Dario, Rolano, Giancarla, Moscatelli, Guido, Radaelli, Elena, Montini, Prete, Cosimo, Marileda, Novello, Igor, Bramuzzo, Nicole, Bertin, Elena, Rinaldo, Paolillo, Ciro, Riccardi, Angela, Claudia, Benedetti, Barbara, Rizzi, Francesca, Montagna, Silvia, Vitali, Chiara, Cutaia, Oliver, Baca, Mauro, Colombo, Eleonora, Marelli, Giuseppe, Procino, Rosaria, Tararà, Maria, Cottino, Davide, Dell'Acqua, Stefania, Cislaghi, Marco, Cairati, Massimo, Porta, Luca, Scaglione, Martina, De Feo, Paola, Vertolli, Lia, Salvati, Sandro, Cinotti, Valentina, De Santis, Erminia, Biferi, Paola, Cheli, Romina, Rebizzo, Minisola, Salvatore, Luciano, Colangelo, Pasquale, Abete, Ilaria, Liguori, Francesca, Curcio, Guglielmo, Spassini, Marco, Engheben, Sara, Rotunno, Paola, Arosio, Claudio, Angelini, Francesco, Reggiani, Alessandro, Cappelli, Simona, Marcheselli, Lara, Fratticci, Paola, Ranzani, Simonetta, Cesarini, Antonella, Cerini, Generoso, Uomo, Fernando, Gallucci, Giuliano, Ceschia, Emanuela, Serra, Mariolina, Sola, Alessandro, Delitala, Chiara, Pes, Giulia, Lobianco, Alessandro, Giani, Famularo, Simone, Sandini, Marta, Pinotti, Enrico, Gianotti, Luca, Antonella, Battuello, Giulia, Pintore, Sante, Giardini, Rossi, Andrea, Rubele, Sofia, Sant, Selena, Marco, Vignati, Danila, Clerici, Fabio, Rosa, Bandirali, Maria Pia, Nicoletta, Cattaneo, Laura, Boffi, Paolo, Tosoni, Luciano, Terranova, Leonello, Avalli, Margherita, Scanziani, Stefania, De Notaris, Pierluigi, Del Santo, Laura, Rossi, Fabiana, Tezza, Giovanna, Cervati, Antonino, Andreolli, Felice, Catalano, Giuseppe, Burattin, Danilo, Fogli, Giovanna, Di Bella, Francesco, Landi, Salini, Sara, Angela, Brunetti Maria, Giorgetta, Cappa, Giovanni, Galvagno, Paola, Cena, Gerardo, Bruno, Silvio, Raspo, Letizia, Semeraro, Sabrina, Pedrotti, Davide, Barra, Rosaria, Rizzo Maria, Maria, Dalise Anna, Raffaele, Prestano, Palmieri, Vincenzo Ostilio, Palasciano, Giuseppe, Belfiore, Anna, Portincasa, Piero, Carlo, Sabbà, Vincenzo, Solfrizzi, Alessia, D'introno, Valiani, Vincenzo, Carolina, Bologna, Tiziana, Ciarambino, Paola, Turelli, Ugo, Pazzaglia, Federica, Rodella, Giacomo, Piana, Castellano, Maurizio, Anna, Garelli, Elisa, Casella, Federica, Campana, Antonietta, Coschignano Maria, Luigi, Marinangeli, Fabio, Lorico, Salvatore, Bazzano, Giuseppe, Menculini, Gelosa, Giorgio, Viviana, Ambrogio Teresa, Piras, Valentina, Andrea, Ciricugno, Alessandra, Bollari, Coen, Daniele, Magliola, Renata, Milanesio, Deborah, Muzzulini, Carlo Lorenzo, Paolo, Fogliacco, Marinella, Turla, Sofia, Cotelli Maria, Marta, Bianchi, Siano, Pietro, Capo, Giuseppe, Napoletano, Rosa, Cecilia, Politi, Mancini, Concetta, Del Buono, Corrado, De Bartolomeo, Giuseppe, Addolorata, Martinelli, Carmen, Cefalogli, Roberto, Cozzi, Giovanni, Virtuani Angelo, Moschettini, Gianfilippo, Franco, Mastroianni, Daniela, Roglia, D'Amico, Gabriella, Mirella, Palella, Endrizzi, Cristina, Trotta, Lucia, Ciarambino, Tiziana, Orazio, Zanetti, Emanuela, Terazzi, Marta, Sacchetti, Thomas, Fleetwood, Giacomo, Tondo, Ignazio, Di Fazio, Andrea, Bruni, Giuseppe, Orsitto, Emanuela, Fabbro, Serena, Amici, Elena, D'Imporzano, Anna, Casanova, Serena, Bertolio, Erika, Nervo, Roberto, Silvestri, Elena, Semproni, Manuela, Pintus, Francesca, Aloe, Angelo, Tagliaccica, Zambon, Antonella, and Di Santo, Simona G.

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2020
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22. Fasting-mimicking diet and hormone therapy induce breast cancer regression

Author

Caffa, Irene, Spagnolo, Vanessa, Vernieri, Claudio, Valdemarin, Francesca, Becherini, Pamela, Wei, Min, Brandhorst, Sebastian, Zucal, Chiara, Driehuis, Else, Ferrando, Lorenzo, Piacente, Francesco, Tagliafico, Alberto, Cilli, Michele, Mastracci, Luca, Vellone, Valerio G., Piazza, Silvano, Cremonini, Anna Laura, Gradaschi, Raffaella, Mantero, Carolina, Passalacqua, Mario, Ballestrero, Alberto, Zoppoli, Gabriele, Cea, Michele, Arrighi, Annalisa, Odetti, Patrizio, Monacelli, Fiammetta, Salvadori, Giulia, Cortellino, Salvatore, Clevers, Hans, De Braud, Filippo, Sukkar, Samir G., Provenzani, Alessandro, Longo, Valter D., and Nencioni, Alessio

Published
2020
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23. SIRT6 enhances oxidative phosphorylation in breast cancer and promotes mammary tumorigenesis in mice

Author

Becherini, Pamela, Caffa, Irene, Piacente, Francesco, Damonte, Patrizia, Vellone, Valerio G., Passalacqua, Mario, Benzi, Andrea, Bonfiglio, Tommaso, Reverberi, Daniele, Khalifa, Amr, Ghanem, Moustafa, Guijarro, Ana, Tagliafico, Luca, Sucameli, Marzia, Persia, Angelica, Monacelli, Fiammetta, Cea, Michele, Bruzzone, Santina, Ravera, Silvia, and Nencioni, Alessio

Published
2021
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25. Effect of Geriatric Comanagement in Older Patients Undergoing Surgery for Gastrointestinal Cancer: A Retrospective, Before-and-After Study

Author

Giannotti, Chiara, Massobrio, Andrea, Carmisciano, Luca, Signori, Alessio, Napolitano, Armando, Pertile, Davide, Soriero, Domenico, Muzyka, Mariya, Tagliafico, Luca, Casabella, Andrea, Cea, Michele, Caffa, Irene, Ballestrero, Alberto, Murialdo, Roberto, Laudisio, Alice, Incalzi, Raffaele Antonelli, Scabini, Stefano, Monacelli, Fiammetta, and Nencioni, Alessio

Published
2022
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28. Clinical Features Associated with Delirium Motor Subtypes in Older Inpatients: Results of a Multicenter Study

Author

Boffelli, Stefano, Di Stefano, Fabio, De Filippi, Francesco, Guerini, Fabio, Bertoletti, Erik, March, Albert, Margiotta, Alessandro, Mecocci, Patrizia, Addesi, Desireè, Fantò, Fausto, Isaia, Gianluca, Dijik, Babette, Porrino, Paola, Cotroneo, Antonino Maria, Galli, Giovanni, Bruni, Amalia Cecilia, Bernardini, Bruno, Corsini, Carla, Cagnin, Annachiara, Zurlo, Amedeo, Barbagallo, Giuseppe, Lunardelli, Maria Lia, Martini, Emilio, Battaglia, Giuseppe, Latella, Raffaele, Petritola, Donatella, Sinforiani, Elena, Cester, Alberto, Formilan, Marino, Carbone, Pasqualina, Appollonio, Ildebrando, Cereda, Diletta, Tremolizzo, Lucio, Bottacchi, Edo, Lucchetti, Lucio, Mariani, Claudio, Rapazzini, Piero, Romanelli, Giuseppe, Marengoni, Alessandra, Zuliani, Giovanni, Bianchi, Lara, Suardi, Teresa, Muti, Ettore, Bottura, Renato, Sgrò, Giovanni, Mandas, Antonella, Serchisu, Luca, Crippa, Patrizia, Ivaldi, Claudio, Ungar, Andrea, Villani, Daniele, Raimondi, Clara, Mussi, Chiara, Isaia, Giancarlo, Provenzano, Giuseppe, Mari, Daniela, Odetti, Patrizio, Monacelli, Fiammetta, Incalzi, Raffaele Antonelli, Pluderi, Alice, Bellamoli, Claudio, Terranova, Luciano, Scarpini, Elio, D'Amico, Ferdinando, Cavallini, Maria Chiara, Guerrini, Gianbattista, Scotuzzi, Anna Maria, Chiarello, Antonino, Pilotto, Alberto, Tognini, Sara, Dell'Aquila, Giuseppina, Toigo, Gabriele, Ceschia, Giuliano, Piccinini, Maristella, Fabbo, Andrea, Zoli, Marco, Forti, Paola, Wenter, Christian, Basile, Giorgio, Lasagni, Anna, Padovani, Alessandro, Rozzini, Luca, Cottino, Maria, Vitali, Silvia, Tripi, Gabriele, Avanzi, Stefano, Umidi, Simona, Moretti, Daniela, Ruotolo, Giovanni, Boschi, Federica, Bonino, Paolo, Marchionni, Niccolò, Cavallini, Maria C., Fascendini, Sara, Noro, Gabriele, Turco, Renato, Ubezio, Maria C., Serrati, Carlo, Infante, Maria, Gentile, Simona, Pernigotti, Luigi M., Biagini, Carlo A., Canonico, Enzo, Bonati, Pietro, Gareri, Pietro, Caffarra, Paolo, Ceretti, Arcangelo, Castiglia, Rosanna, Gabelli, Carlo, Storto, Mario Lo, Putzu, Paolo, Bellelli, Giuseppe, Morandi, Alessandro, Di Santo, Simona, Mazzone, Andrea, Rozzini, Renzo, Zanetti, Ermellina, Bianchetti, Angelo, Bo, Mario, Mossello, Enrico, Cherubini, Antonio, Ferrara, Nicola, Ferrari, Alberto, Musicco, Massimo, Trabucchi, Marco, Di Santo, Simona G., and Meagher, David

Published
2017
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31. Inhibitors of NAD + Production in Cancer Treatment: State of the Art and Perspectives.

Author

Ghanem, Moustafa S., Caffa, Irene, Monacelli, Fiammetta, and Nencioni, Alessio

Subjects
NICOTINAMIDE, DRUG discovery, CANCER treatment, ANIMAL models in research, ANTINEOPLASTIC agents
Abstract

The addiction of tumors to elevated nicotinamide adenine dinucleotide (NAD+) levels is a hallmark of cancer metabolism. Obstructing NAD+ biosynthesis in tumors is a new and promising antineoplastic strategy. Inhibitors developed against nicotinamide phosphoribosyltransferase (NAMPT), the main enzyme in NAD+ production from nicotinamide, elicited robust anticancer activity in preclinical models but not in patients, implying that other NAD+-biosynthetic pathways are also active in tumors and provide sufficient NAD+ amounts despite NAMPT obstruction. Recent studies show that NAD+ biosynthesis through the so-called "Preiss-Handler (PH) pathway", which utilizes nicotinate as a precursor, actively operates in many tumors and accounts for tumor resistance to NAMPT inhibitors. The PH pathway consists of three sequential enzymatic steps that are catalyzed by nicotinate phosphoribosyltransferase (NAPRT), nicotinamide mononucleotide adenylyltransferases (NMNATs), and NAD+ synthetase (NADSYN1). Here, we focus on these enzymes as emerging targets in cancer drug discovery, summarizing their reported inhibitors and describing their current or potential exploitation as anticancer agents. Finally, we also focus on additional NAD+-producing enzymes acting in alternative NAD+-producing routes that could also be relevant in tumors and thus become viable targets for drug discovery. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Rethinking Dementia Risk Prediction: A Critical Evaluation of a Multimodal Machine Learning Predictive Model.

Author

Ottaviani, Silvia and Monacelli, Fiammetta

Subjects
*MACHINE learning, *DISEASE risk factors, *MAGNETIC resonance imaging, *ARTIFICIAL intelligence, *NEUROPSYCHOLOGICAL tests
Abstract

A recent study by Ding et al. explores the integration of artificial intelligence (AI) in predicting dementia risk over a 10-year period using a multimodal approach. While revealing the potential of machine learning models in identifying high-risk individuals through neuropsychological testing, MRI imaging, and clinical risk factors, the imperative of dynamic frailty assessment emerges for accurate late-life dementia prediction. The commentary highlights challenges associated with AI models, including dimensionality and data standardization, emphasizing the critical need for a dynamic, comprehensive approach to reflect the evolving nature of dementia and improve predictive accuracy. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Evidence for a role of the histone deacetylase SIRT6 in DNA damage response of multiple myeloma cells

Author

Cea, Michele, Cagnetta, Antonia, Adamia, Sophia, Acharya, Chirag, Tai, Yu-Tzu, Fulciniti, Mariateresa, Ohguchi, Hiroto, Munshi, Aditya, Acharya, Prakrati, Bhasin, Manoj K., Zhong, Lei, Carrasco, Ruben, Monacelli, Fiammetta, Ballestrero, Alberto, Richardson, Paul, Gobbi, Marco, Lemoli, Roberto M., Munshi, Nikhil, Hideshima, Teru, Nencioni, Alessio, Chauhan, Dharminder, and Anderson, Kenneth C.

Published
2016
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36. Frailty, psychological well‐being, and social isolation in older adults with cognitive impairment during the SARS‐CoV‐2 pandemic: data from the GeroCovid initiative.

Author

Terziotti, Camilla, Ceolin, Chiara, Devita, Maria, Raffaelli, Cecilia, Antenucci, Sara, Bazzano, Salvatore, Capasso, Andrea, Castellino, Manuela, Signore, Stefania Del, Lubian, Francesca, Maiotti, Mariangela, Monacelli, Fiammetta, Mormile, Maria Teresa, Sgarito, Claudia, Vella, Filomena, Sergi, Giuseppe, Gareri, Pietro, Trevisan, Caterina, Bellio, Andrea, and Fini, Filippo

Subjects
COGNITION disorder risk factors, WELL-being, STATISTICS, FRAIL elderly, MULTIVARIATE analysis, MULTIPLE regression analysis, RETROSPECTIVE studies, FISHER exact test, SOCIAL isolation, RISK assessment, T-test (Statistics), LONELINESS, CHI-squared test, DESCRIPTIVE statistics, QUESTIONNAIRES, DATA analysis, DATA analysis software, COVID-19 pandemic
Abstract

Background: The containment measures linked to the COVID‐19 pandemic negatively affected the phyco‐physical well‐being of the population, especially older adults with neurocognitive disorders (NCDs). This study aims to evaluate whether the frailty of NCD patients was associated with different changes in multiple health domains, in particular in relation to loneliness and social isolation, pre‐ and post‐lockdown. Materials and Methods: Patients were recruited from 10 Italian Centers for Cognitive Disorders and Dementia. Data were collected in the pre‐pandemic period (T0), during the pandemic lockdown (T1), and 6–9 months post‐lockdown (T2). The UCLA Loneliness Scale‐3, Activities of Daily Living (ADL), Instrumental ADL (IADL), Mini‐Mental State Examination, and Neuropsychiatric Inventory (NPI) were administered. Caregivers' burden was also tested. Patients were categorized as non‐frail, pre‐frail, and frail according to the Fatigue, Resistance, Ambulation, Illness, and Loss of Weight scale. Results: The sample included 165 subjects (61.9% women, mean age 79.5 ± 4.9 years). In the whole sample, the ADL, IADL, and NPI scores significantly declined between T0 and T2. There were no significative variations in functional and cognitive domains between the frail groups. During lockdown we recorded higher Depression Anxiety Stress Scales and Perceived Stress Scale scores in frail people. In multivariable logistic regression, frailty was associated with an increase in social isolation, and a loss of IADL. Conclusions: We observed a global deterioration in functional and neuro‐psychiatric domains irrespective of the degree of frailty. Frailty was associated with the worsening of social isolation during lockdown. Frail patients and their caregivers seemed to experience more anxiety and stress disorders during SARS‐CoV‐2 pandemic. [ABSTRACT FROM AUTHOR]

Published
2023
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37. Nicotinamide Phosphoribosyltransferase Promotes Epithelial-to-Mesenchymal Transition as a Soluble Factor Independent of Its Enzymatic Activity

Author

Soncini, Debora, Caffa, Irene, Zoppoli, Gabriele, Cea, Michele, Cagnetta, Antonia, Passalacqua, Mario, Mastracci, Luca, Boero, Silvia, Montecucco, Fabrizio, Sociali, Giovanna, Lasigliè, Denise, Damonte, Patrizia, Grozio, Alessia, Mannino, Elena, Poggi, Alessandro, D'Agostino, Vito G., Monacelli, Fiammetta, Provenzani, Alessandro, Odetti, Patrizio, Ballestrero, Alberto, Bruzzone, Santina, and Nencioni, Alessio

Published
2014
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38. Multiparametric Evaluation of Geriatric Patients Admitted to Intermediate Care: Impact on Geriatric Rehabilitation.

Author

Murdaca, Giuseppe, Banchero, Sara, Casciaro, Marco, Paladin, Francesca, Tafuro, Michele, Monacelli, Fiammetta, Nencioni, Alessio, Bruschetta, Roberta, Pioggia, Giovanni, Tartarisco, Gennaro, and Gangemi, Sebastiano

Subjects
INTERMEDIATE care, GERIATRIC rehabilitation, ACTIVITIES of daily living, OLDER people, MEDICATION therapy management
Abstract

Optimizing the functional status of patients of any age is a major global public health goal. Rehabilitation is a process in which a person with disabilities is accompanied to achieve the best possible physical, functional, social, intellectual, and relational outcomes. The Intermediate Care Unit within the O.U. of Geriatrics and Gerontology of the San Martino Hospital in Genoa is focused on the treatment and motor reactivation of patients with geriatric pathologies. The objective of this study was to identify which factor, among the characteristics related to the patient and those identified by the geriatric evaluation, had the greatest impact on rehabilitation outcomes. Our findings revealed significant correlations between the Barthel Index delta, the 4AT Screening Test, and the number of drugs taken. This association highlights the potential benefits of medication management in enhancing the overall well-being and functional abilities of frail older adults, despite the literature suggesting that polypharmacotherapy is associated with a reduction in functional status and an increase in mortality. These findings underscore the significance of a multidimensional geriatric assessment. Refining and optimising these multidisciplinary approaches is the objective of a more effective geriatric rehabilitation strategy. [ABSTRACT FROM AUTHOR]

Published
2023
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40. Discrepancy Between Patient and Caregiver Estimate of Apathy Predicts Dementia in Patients with Amnestic Mild Cognitive Impairment.

Author

Grisanti, Stefano Giuseppe, Massa, Federico, Chincarini, Andrea, Pretta, Stefano, Rissotto, Roberto, Serrati, Carlo, Monacelli, Fiammetta, Serafini, Gianluca, Calcagno, Pietro, Brugnolo, Andrea, Pardini, Matteo, Nobili, Flavio, Girtler, Nicola, Dementia Disease Management Team, Schenone, Angelo, Nencioni, Alessio, Amore, Mario, Biffa, Gabriella, Sambuceti, Gianmario, and Morbelli, Silvia

Subjects
AMNESTIC mild cognitive impairment, DEMENTIA patients, CAREGIVERS, APATHY, ALZHEIMER'S disease
Abstract

Background: Apathy is a frequent behavioral symptom of Alzheimer's disease (AD). The Apathy Evaluation Scale (AES) is a tool exploring the perception of apathy by both caregivers (CG-AES) and patients (PT-AES), and the discrepancy in their ratings is a proxy of patients' disease unawareness. Objective: To assess in a cohort study of patients with amnesic mild cognitive impairment (aMCI) whether apathy and awareness of apathy predict progression to dementia and timing. Methods: From the global AES scores of 110 patients with aMCI and their caregivers, we obtained two principal indices for analysis: 1) 'Apathy', the mean of PT-AES and CG-AES, and 2) 'Discrepancy', obtained by subtracting CG-AES from PT-AES. Patients were followed with visits every six months for three years or until dementia. AES indices and the principal demographical/neuropsychological variables were filtered from multicollinearity. The most robust variables entered a logistic regression model and survival analyses (Cox regression, log-rank test of Kaplan-Meier curves) to estimate which predicted the risk and timing of progression, respectively. Results: Sixty patients (54.5%) developed dementia (57 AD) after 6.0–36.0 months, 22 (20%) remained in an MCI stage, and 28 (25.5%) dropped out. 'Discrepancy' was a robust and accurate predictor of the risk of progression (AUC = 0.73) and, after binarization according to a computed cutoff, of timing to dementia. Conclusion: A structured evaluation of apathy, both self-assessed and estimated by caregivers, can provide useful information on the risk and timing of progression from aMCI to dementia. The discrepancy between the two estimates is a fairly reliable index for prediction purposes as a proxy of disease unawareness. [ABSTRACT FROM AUTHOR]

Published
2023
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43. Potential Predictors for Cognitive Decline in Vascular Dementia: A Machine Learning Analysis.

Author

Murdaca, Giuseppe, Banchero, Sara, Casciaro, Marco, Tonacci, Alessandro, Billeci, Lucia, Nencioni, Alessio, Pioggia, Giovanni, Genovese, Sara, Monacelli, Fiammetta, and Gangemi, Sebastiano

Subjects
VASCULAR dementia, MACHINE learning, COGNITION disorders, FUNCTIONAL foods, DISEASE risk factors, ALZHEIMER'S patients
Abstract

Vascular dementia (VD) is a cognitive impairment typical of advanced age with vascular etiology. It results from several vascular micro-accidents involving brain vessels carrying less oxygen and nutrients than it needs. This being a degenerative disease, the diagnosis often arrives too late, when the brain tissue is already damaged. Thus, prevention is the best solution to avoid irreversible cognitive impairment in patients with specific risk factors. Using the machine learning (ML) approach, our group evaluated Mini-Mental State Examination (MMSE) changes in patients affected by Alzheimer's disease by considering different clinical parameters. We decided to apply a similar ML scheme to VD due to the consistent data obtained from the first work, including the assessment of various ML models (LASSO, RIDGE, Elastic Net, CART, Random Forest) for the outcome prediction (i.e., the MMSE modification throughout time). MMSE at recruitment, folate, MCV, PTH, creatinine, vitamin B12, TSH, and hemoglobinwere the best predictive parameters individuated by the best ML model: Random Forest. ML results can be useful inidentify predictive biomarkers for cognitive worsening in VD early and also for focusing on necessary examinations at the first visits to draw the most predictive features, saving time and money and reducethe burden on the patients themselves. Such results should be integrated with brain imaging, physiological signal measurements, and sensory patterns, particularly forthose senses already demonstrated to have a significant link with neurodegeneration. Adjusting compound deficit by administering nutraceuticals could support treatment effectiveness and lead to a better quality of life for patients, families, and caregivers, with a consistent impact on the national health systems load. [ABSTRACT FROM AUTHOR]

Published
2022
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45. Exploring Cost-Effectiveness of the Comprehensive Geriatric Assessment in Geriatric Oncology: A Narrative Review.

Author

Zuccarino, Sara, Monacelli, Fiammetta, Antognoli, Rachele, Nencioni, Alessio, Monzani, Fabio, Ferrè, Francesca, Seghieri, Chiara, and Antonelli Incalzi, Raffaele

Subjects
*ONLINE information services, *MEDICAL databases, *LENGTH of stay in hospitals, *SYSTEMATIC reviews, *GERIATRIC assessment, *COST effectiveness, *QUALITY assurance, *HOSPITAL care, *MEDLINE, *CANCER patient medical care
Abstract

Simple Summary: The Comprehensive Geriatric Assessment is a multidimensional and multidisciplinary evaluation designed for elderly patients with the goal of structuring tailored care and follow-up. Despite the known benefits of this approach, the Comprehensive Geriatric Assessment is not universally applied to elderly cancer patients due to economic and practical barriers. This narrative review aims to investigate the cost-effectiveness of the Comprehensive Geriatric Assessment adopted in geriatric oncology. The results revealed a lack of research on the topic, but recurrent cost-saving effects of this approach in geriatric oncology settings were highlighted—suggesting a positive cost-effectiveness ratio. Further structured research with comprehensive economic evaluations is needed to confirm these findings. The Comprehensive Geriatric Assessment (CGA) and the corresponding geriatric interventions are beneficial for community-dwelling older persons in terms of reduced mortality, disability, institutionalisation and healthcare utilisation. However, the value of CGA in the management of older cancer patients both in terms of clinical outcomes and in cost-effectiveness remains to be fully established, and CGA is still far from being routinely implemented in geriatric oncology. This narrative review aims to analyse the available evidence on the cost-effectiveness of CGA adopted in geriatric oncology, identify the relevant parameters used in the literature and provide recommendations for future research. The review was conducted using the PubMed and Cochrane databases, covering published studies without selection by the publication year. The extracted data were categorised according to the study design, participants and measures of cost-effectiveness, and the results are summarised to state the levels of evidence. The review conforms to the SANRA guidelines for quality assessment. Twenty-nine studies out of the thirty-seven assessed for eligibility met the inclusion criteria. Although there is a large heterogeneity, the overall evidence is consistent with the measurable benefits of CGA in terms of reducing the in-hospital length of stay and treatment toxicity, leaning toward a positive cost-effectiveness of the interventions and supporting CGA implementation in geriatric oncology clinical practice. More research employing full economic evaluations is needed to confirm this evidence and should focus on CGA implications both from patient-centred and healthcare system perspectives. [ABSTRACT FROM AUTHOR]

Published
2022
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46. Identification of NAPRT Inhibitors with Anti-Cancer Properties by In Silico Drug Discovery.

Author

Ghanem, Moustafa S., Caffa, Irene, Del Rio, Alberto, Franco, Jorge, Parenti, Marco Daniele, Monacelli, Fiammetta, Cea, Michele, Khalifa, Amr, Nahimana, Aimable, Duchosal, Michel A., Ravera, Silvia, Bertola, Nadia, Bruzzone, Santina, Nencioni, Alessio, and Piacente, Francesco

Subjects
NICOTINAMIDE, DRUG discovery, NIACIN, HIGH throughput screening (Drug development), ANTINEOPLASTIC agents, CANCER cells
Abstract

Depriving cancer cells of sufficient NAD levels, mainly through interfering with their NAD-producing capacity, has been conceived as a promising anti-cancer strategy. Numerous inhibitors of the NAD-producing enzyme, nicotinamide phosphoribosyltransferase (NAMPT), have been developed over the past two decades. However, their limited anti-cancer activity in clinical trials raised the possibility that cancer cells may also exploit alternative NAD-producing enzymes. Recent studies show the relevance of nicotinic acid phosphoribosyltransferase (NAPRT), the rate-limiting enzyme of the Preiss–Handler NAD-production pathway for a large group of human cancers. We demonstrated that the NAPRT inhibitor 2-hydroxynicotinic acid (2-HNA) cooperates with the NAMPT inhibitor FK866 in killing NAPRT-proficient cancer cells that were otherwise insensitive to FK866 alone. Despite this emerging relevance of NAPRT as a potential target in cancer therapy, very few NAPRT inhibitors exist. Starting from a high-throughput virtual screening approach, we were able to identify and annotate two additional chemical scaffolds that function as NAPRT inhibitors. These compounds show comparable anti-cancer activity to 2-HNA and improved predicted aqueous solubility, in addition to demonstrating favorable drug-like profiles. [ABSTRACT FROM AUTHOR]

Published
2022
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47. Electromyographic Patterns of Paratonia in Normal Subjects and in Patients with Mild Cognitive Impairment or Alzheimer's Disease.

Author

Marinelli, Lucio, Trompetto, Carlo, Puce, Luca, Monacelli, Fiammetta, Mori, Laura, Serrati, Carlo, Fattapposta, Francesco, Ghilardi, Maria Felice, and Currà, Antonio

Subjects
ALZHEIMER'S disease diagnosis, SKELETAL muscle, MUSCLE rigidity, ELECTROMYOGRAPHY
Abstract

Background: Information on prevalence, pathophysiology, and clinical assessment of paratonia are scarce. In a previous study, we suggested that surface electromyography (EMG) can be used to assess paratonia.Objective: To assess clinical and EMG features of paratonia in both patients with cognitive impairment and healthy subjects.Methods: We examined 18 patients with Alzheimer's disease (AD), 21 patients with mild cognitive impairment (MCI), 30 healthy seniors (seniors), and 30 healthy juniors (juniors). Paratonia was assessed using the "Paratonia Scale". EMG bursts were recorded from biceps and triceps during manually applied passive movements of elbow joint. Continuous (sinusoidal) and discontinuous (linear) movements were applied at 2 different velocities (fast and slow).Results: In comparison to juniors, seniors had higher clinical scores. In comparison to seniors, AD had higher oppositional scores, while MCI had higher facilitatory scores. EMG activity during passive movements correlated with paratonia clinical scores, was velocity-dependent and increased with movement repetition, most effectively for sinusoidal movements. Similar EMG activity was detected in not paratonic muscles.Conclusion: Paratonia increases with normal aging and cognitive decline progression. While facilitatory paratonia is due to involuntary contraction of the shortening muscle, oppositional paratonia is due, at least partially, to involuntary contraction of the lengthening muscle. Most characteristic feature of this muscle contraction is the progressive increase with movement repetition, that helps distinguish oppositional paratonia from spasticity and rigidity. A similar EMG activity is detected in not paratonic muscles, showing that, during tone assessment, the descending motor system is incompletely inactivated also in normotonic muscles. [ABSTRACT FROM AUTHOR]

Published
2022
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48. Delirium and Clusters of Older Patients Affected by Multimorbidity in Acute Hospitals.

Author

Monacelli, Fiammetta, Signori, Alessio, Marengoni, Alessandra, Di Santo, Simona, Rossi, Emanuela, Valsecchi, Maria Grazia, Morandi, Alessandro, and Bellelli, Giuseppe

Subjects
*CEREBROVASCULAR disease, *CROSS-sectional method, *SENSORY disorders, *HOSPITAL care of older people, *DELIRIUM, *DESCRIPTIVE statistics, *MEDICAL history taking, *QUESTIONNAIRES, *DEMENTIA, *CLUSTER analysis (Statistics), *SOCIODEMOGRAPHIC factors, *ACUTE diseases, *COMORBIDITY
Abstract

Delirium is commonly seen in older adults with multimorbidity, during a hospitalization, resulting from the interplay between predisposing factors such as advanced age, frailty, and dementia, and a series of precipitating factors. The association between delirium and specific multimorbidity is largely unexplored so far although of potential key relevance for targeted interventions. The aim of the study was to check for a potential association of multimorbidity with delirium in a large cohort of older patients hospitalized for an acute medical or surgical condition. This is a cross-sectional study nested in the 2017 Delirium Day project. The study includes 1829 hospitalized patients (age: 81.8, SD: 5.5). Of them, 419 (22.9%) had delirium. Sociodemographic and medical history were collected. The 4AT was used to assess the presence of delirium. The Charlson Comorbidity index was used to assess multimorbidity. The results identified neurosensorial multimorbidity as the most prevalent, including patients with dementia, cerebrovascular diseases, and sensory impairments. In light of the highest co-occurrence of 3 neurosensorial chronic conditions, we could hypothesize that a baseline altered brain functional and neural connectivity might determine the vulnerability signature for incipient overall system disruption in presence of acute insults. Eventually, our findings moved a step forward in supporting the key importance of routine screening for sensory impairments and cognitive status of older patients for the highest risk of in-hospital delirium. In fact, preventive interventions could be particularly relevant and effective in preventing delirium in such vulnerable populations and might help refining this early diagnosis. [ABSTRACT FROM AUTHOR]

Published
2022
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50. Alzheimer’s Disease and Cardiovascular Disease: A Particular Association

Author

Tini, Giacomo, Scagliola, Riccardo, Monacelli, Fiammetta, La Malfa, Giovanni, Porto, Italo, Brunelli, Claudio, and Rosa, Gian Marco

Subjects
Article Subject
Abstract

Background and aim. During ageing, the prevalence of dementia, and especially of Alzheimer’s disease (AD) and cardiovascular disease (CVD), increases. The aim of this review is to investigate the relationship between AD and CVD and its risk factors, with a view to explain the underlying mechanisms of this association. Methods. This review is based on the material obtained via MEDLINE (PubMed), EMBASE, and Clinical Trials databases, from January 1980 until May 2019. The search term used was “Alzheimer’s disease,” combined with “cardiovascular disease,” “hypertension,” “dyslipidaemia,” “diabetes mellitus,” “atrial fibrillation,” “coronary artery disease,” “heart valve disease,” and “heart failure.” Out of the 1,328 papers initially retrieved, 431 duplicates and 216 records in languages other than English were removed. Among the 681 remaining studies, 98 were included in our research material on the basis of the following inclusion criteria: (a) the community-based studies; (b) using standardized diagnostic criteria; (c) reporting raw prevalence data; (d) with separate reported data for sex and age classes. Results. While AD and CVD alone may be considered deleterious to health, the study of their combination constitutes a clinical challenge. Further research will help to clarify the real impact of vascular factors on these diseases. It may be hypothesized that there are various mechanisms underlying the association between AD and CVD, the main ones being hypoperfusion and emboli, atherosclerosis, and the fact that, in both the heart and brain of AD patients, amyloid deposits may be present, thus causing damage to these organs. Conclusions. AD and CVD are frequently associated. Further studies are needed in order to understand the effect of CVD and its risk factors on AD in order to better comprehend the effects of subclinical and clinical CVD on the brain. Finally, we need to clarify the impact of the underlying hypothesized mechanisms of this association and to investigate gender issues.

Published
2020
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