Search

Your search keyword '"Nanni M"' showing total 824 results
Start Over Author "Nanni M"
824 results on '"Nanni M"'

2. The interplay between mentalization, personality traits and burnout in psychiatry training: Results from a large multicenter controlled study

Author

Castellini, G, Tarchi, L, Cassioli, E, Ricca, V, Abbate Daga, G, Aguglia, A, Albert, U, Atti, A, Barlati, S, Blasi, G, Carmassi, C, Carra, G, De Fazio, P, De Panfilis, C, Di Lorenzo, G, Ferrari, S, Goracci, A, Gramaglia, C, Luciano, M, Martinotti, G, Menchetti, M, Menculini, G, Nanni, M, Nivoli, A, Pinna, F, Pompili, M, Rosso, G, Sambataro, F, Sampogna, G, Sani, G, Serafini, G, Signorelli, M, Tosato, S, Ventriglio, A, Vigano, C, Volpe, U, Fiorillo, A, Castellini G., Tarchi L., Cassioli E., Ricca V., Abbate Daga G., Aguglia A., Albert U., Atti A., Barlati S., Blasi G., Carmassi C., Carra G., De Fazio P., De Panfilis C., Di Lorenzo G., Ferrari S., Goracci A., Gramaglia C., Luciano M., Martinotti G., Menchetti M., Menculini G., Nanni M. G., Nivoli A., Pinna F., Pompili M., Rosso G., Sambataro F., Sampogna G., Sani G., Serafini G., Signorelli M. S., Tosato S., Ventriglio A., Vigano C., Volpe U., Fiorillo A., Castellini, G, Tarchi, L, Cassioli, E, Ricca, V, Abbate Daga, G, Aguglia, A, Albert, U, Atti, A, Barlati, S, Blasi, G, Carmassi, C, Carra, G, De Fazio, P, De Panfilis, C, Di Lorenzo, G, Ferrari, S, Goracci, A, Gramaglia, C, Luciano, M, Martinotti, G, Menchetti, M, Menculini, G, Nanni, M, Nivoli, A, Pinna, F, Pompili, M, Rosso, G, Sambataro, F, Sampogna, G, Sani, G, Serafini, G, Signorelli, M, Tosato, S, Ventriglio, A, Vigano, C, Volpe, U, Fiorillo, A, Castellini G., Tarchi L., Cassioli E., Ricca V., Abbate Daga G., Aguglia A., Albert U., Atti A., Barlati S., Blasi G., Carmassi C., Carra G., De Fazio P., De Panfilis C., Di Lorenzo G., Ferrari S., Goracci A., Gramaglia C., Luciano M., Martinotti G., Menchetti M., Menculini G., Nanni M. G., Nivoli A., Pinna F., Pompili M., Rosso G., Sambataro F., Sampogna G., Sani G., Serafini G., Signorelli M. S., Tosato S., Ventriglio A., Vigano C., Volpe U., and Fiorillo A.

Abstract

Background: A better characterization of educational processes during psychiatry training is needed, both to foster personal resilience and occupational proficiency. Methods: An adequate coverage of medical residents at the national level was reached (41.86% of the total reference population, 29 out of 36 training centers—80.55%). Controls were recruited among residents in other medical specialties. All participants were assessed by questionnaires to evaluate early life experiences, attachment style, personality traits, coping strategies, emotional competencies. A Structural Equation Model (SEM) framework was employed to investigate the interplay between individual factors. Results: A total sample of 936 people was recruited (87.9% response-rate; 645 residents in psychiatry, 291 other medical residents). Psychiatry trainees reported a higher prevalence of adverse childhood experiences (emotional abuse, emotional neglect, physical neglect), greater attachment insecurity (anxious or avoidant) in comparison to other medical trainees. Psychiatry residents also reported higher social support-seeking as a coping strategy, lower problem-orientation, and lower transcendence. Lower neuroticism, higher openness to experience, and higher emotional awareness were also observed in psychiatry trainees. Psychiatry training was associated with a redefinition of conflict management skills as a function of seniority. The SEM model provided support for an interplay between early traumatic experiences, mentalization skills (coping strategies, emotion regulation), interpersonal competencies and occupational distress. Conclusions: The findings of the present study supported a theoretical model based on mentalization theory for the interactions between personal and relational competencies in psychiatry training, thus providing potential target of remodulation and redefinition of this specific process of education.

Published
2024

3. Sardinia Radio Telescope: General Description, Technical Commissioning and First Light

Author

Bolli, P., Orlati, A., Stringhetti, L., Orfei, A., Righini, S., Ambrosini, R., Bartolini, M., Bortolotti, C., Buffa, F., Buttu, M., Cattani, A., D'Amico, N., Deiana, G., Fara, A., Fiocchi, F., Gaudiomonte, F., Maccaferri, A., Mariotti, S., Marongiu, P., Melis, A., Migoni, C., Morsiani, M., Nanni, M., Nasyr, F., Pellizzoni, A., Pisanu, T., Poloni, M., Poppi, S., Porceddu, I., Prandoni, I., Roda, J., Roma, M., Scalambra, A., Serra, G., Trois, A., Valente, G., Vargiu, G. P., and Zacchiroli, G.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

In the period 2012 June - 2013 October, the Sardinia Radio Telescope (SRT) went through the technical commissioning phase. The characterization involved three first-light receivers, ranging in frequency between 300MHz and 26GHz, connected to a Total Power back-end. It also tested and employed the telescope active surface installed in the main reflector of the antenna. The instrument status and performance proved to be in good agreement with the expectations in terms of surface panels alignment (at present 300 um rms to be improved with microwave holography), gain (~0.6 K/Jy in the given frequency range), pointing accuracy (5 arcsec at 22 GHz) and overall single-dish operational capabilities. Unresolved issues include the commissioning of the receiver centered at 350 MHz, which was compromised by several radio frequency interferences, and a lower-than-expected aperture efficiency for the 22-GHz receiver when pointing at low elevations. Nevertheless, the SRT, at present completing its Astronomical Validation phase, is positively approaching its opening to the scientific community., Comment: 20 pages

Published
2016
Full Text
View/download PDF

6. VLBI imaging throughout the primary beam using accurate UV shifting

Author

Morgan, John S., Mantovani, F., Deller, A. T., Brisken, W., Alef, W., Middelberg, E., Nanni, M., and Tingay, S. J.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

For Very Long Baseline Interferometry (VLBI), the fringe spacing is extremely narrow compared to the field of view imposed by the primary beam of each element. This means that an extremely large number of resolution units can potentially be imaged from a single observation. We implement and test a technique for efficiently and accurately imaging large VLBI datasets. The DiFX software correlator is used to generate a dataset with extremely high time and frequency resolution. This large dataset is then transformed and averaged multiple times to generate many smaller datasets, each with a phase centre located at a different area of interest. Results of an 8.4 GHz four-station VLBI observation of a field containing multiple sources are presented. Observations of the calibrator 3C345 were used for preliminary tests of accuracy of the shifting algorithm. A high level of accuracy was achieved, making the method suitable even for the most demanding astrometric VLBI observations. One target source (1320+299A) was detected and was used as a phase-reference calibrator in searching for further detections. An image containing 13 billion pixels was constructed by independently imaging 782 visibility datasets covering the entire primary beam of the array. Current implementations of this algorithm and possible future developments in VLBI data analysis are discussed., Comment: 10 Pages, 6 figures

Published
2013
Full Text
View/download PDF

7. Acute stress symptoms in general population during the first wave of COVID lockdown in Italy: Results from the COMET trial

Author

Carmassi, C, Sampogna, G, Di Vincenzo, M, Cipolla, S, Toni, C, Albert, U, Carrà, G, Cirulli, F, Dell'Osso, B, Fantasia, S, Nanni, M, Pedrinelli, V, Pompili, M, Sani, G, Tortorella, A, Volpe, U, Fiorillo, A, Carmassi C., Sampogna G., Di Vincenzo M., Cipolla S., Toni C., Albert U., Carrà G., Cirulli F., Dell'Osso B., Fantasia S., Nanni M. G., Pedrinelli V., Pompili M., Sani G., Tortorella A., Volpe U., Fiorillo A., Carmassi, C, Sampogna, G, Di Vincenzo, M, Cipolla, S, Toni, C, Albert, U, Carrà, G, Cirulli, F, Dell'Osso, B, Fantasia, S, Nanni, M, Pedrinelli, V, Pompili, M, Sani, G, Tortorella, A, Volpe, U, Fiorillo, A, Carmassi C., Sampogna G., Di Vincenzo M., Cipolla S., Toni C., Albert U., Carrà G., Cirulli F., Dell'Osso B., Fantasia S., Nanni M. G., Pedrinelli V., Pompili M., Sani G., Tortorella A., Volpe U., and Fiorillo A.

Abstract

Background: The coronavirus disease of 2019 (COVID-19) pandemic is an unprecedented traumatic event that has severely impacted social, economic, and health well-being worldwide. The COvid Mental hEalth Trial was specifically designed to evaluate the impact of the COVID-19 pandemic and its containment measures on the mental health of the Italian general population in terms of COVID-19-related acute stress disorder (ASD) symptoms.Methods: The present cross-sectional study is based on an online survey carried out in the period March-May 2020. Italian general adult population was invited to compile an anonymous survey, which included the severity of acute stress symptoms scale/National Stressful Events Survey Short Scale to investigate the occurrence and severity of ASD symptoms.Results: The final sample consisted of 20,720 participants. During the lockdown, subjects with pre-existing mental health problems reported a statistically significant higher risk of acute post-traumatic symptoms compared to the general population (B: 2.57; 95% CI:2.04-3.09; p < .0001) and health care professionals (B: .37; 95% CI: .02-0.72; p < .05). According to multivariate regression models, the levels of acute post-traumatic symptoms (p < .0001) were higher in younger and female respondents. Social isolation and sleep disorder/insomnia represented positive predictors of acute stress (B = 3.32, 95% CI = 3.08-3.57).Conclusions: Concerns about the risk of infection as well as social isolation caused a higher incidence of acute post-traumatic stress symptoms that may predict the subsequent development of post-traumatic stress disorder symptoms in the long term.

Published
2023

8. The effect of social media and infodemic on mental health during the COVID-19 pandemic: results from the COMET multicentric trial

Author

Sampogna, G, Di Vincenzo, M, Luciano, M, Della Rocca, B, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Nanni, M, Pompili, M, Sani, G, Tortorella, A, Volpe, U, Fiorillo, A, Sampogna G., Di Vincenzo M., Luciano M., Della Rocca B., Albert U., Carmassi C., Carra G., Cirulli F., Dell'Osso B., Nanni M. G., Pompili M., Sani G., Tortorella A., Volpe U., Fiorillo A., Sampogna, G, Di Vincenzo, M, Luciano, M, Della Rocca, B, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Nanni, M, Pompili, M, Sani, G, Tortorella, A, Volpe, U, Fiorillo, A, Sampogna G., Di Vincenzo M., Luciano M., Della Rocca B., Albert U., Carmassi C., Carra G., Cirulli F., Dell'Osso B., Nanni M. G., Pompili M., Sani G., Tortorella A., Volpe U., and Fiorillo A.

Abstract

On January 30, 2020, the World Health Organization (WHO) declared the status of pandemic due to the COVID-19 infection. The initial phases of the pandemic were characterized by uncertainty and public fears. In order to cope with such unexpected conditions, people adopted different coping strategies, including search for information, accessing Internet, and using social media. The present study based on the COMET collaborative research network aims to: (1) assess use of Internet and of social media among the Italian general population; (2) explore differences in web usage between people with pre-existing mental disorders and the general population; (3) identify changes over time in social media usage along the phase 1 of the pandemic; (4) identify the clinical, socio-demographic and contextual predictors of excessive use of social media. A significant increase in time spent on Internet, with an average time of 4.8 ± 0.02 h per day, was found in the global sample of 20,720 participants. Compared with the general population, Internet use was significantly higher in people with pre-existing mental disorders (5.2 ± 0.1 h vs. 4.9 ± 0.02; p < 0.005). According to the multivariate logistic regression model, the risk of excessive use of social media and Internet was significantly higher in people with moderate levels of depressive symptoms (OR: 1.26, CI 95%: 0.99 to 1.59, p < 0.0.005); while protective factors were being students (OR: 0.72, CI 95%: 0.53 to 0.96, p < 0.0029) and living in central Italy (OR: 0.46, CI 95%: 0.23 to 0.90, p < 0.002). The evaluation of social media and Internet use by the general population represents a first step for developing specific protective and supportive interventions for the general population, including practical suggestions on how to safely use Internet and social media.

Published
2023

9. Maladaptive coping styles moderate the relationship between information on cancer treatment and psychosocial symptoms: an Italian multicenter study.

Author

Zerbinati, L., Folesani, F., Caruso, R., Murri, M. Belvederi, Nanni, M. G., Righetti, S., Chiefari, L., Muscettola, A., Toffanin, T., Costantini, A., Zaccagnino, B., Ruffilli, F., and Grassi, L.

Abstract

Objectives: Disclosing information on diagnosis, prognosis and treatment is a delicate process in oncology, although awareness levels have over time increased in people with cancer. However, individual characteristics should be considered when communicating difficult information. We conducted a multicentric study to explore the moderating role of coping styles on the relationship between information about cancer, quality of life and psychological distress. Methods: In the period between October 2015 and February 2016, 288 patients with a diagnosis of a solid tumor were recruited from seven Italian oncology units. All participants were administered the Distress Thermometer (DT), the Mini-Mental Adjustment to Cancer (Mini-MAC), the European Organization for Research and Treatment of Cancer (EORTC) Core Quality of Life Questionnaire (QLQ-C30), and the EORTC QLQ 25-item information module (INFO25). We explored the moderating effect of coping style with quality of life (QoL) and distress (DT) as dependent variables and information on cancer treatment as independent variable. Results: Low levels of anxious preoccupation significantly moderated the relationship between information on treatment and QoL (R2 6%, p  <  0.001), while low and medium levels of hopelessness significantly moderated the relationship between information on treatment and DT (R2  =  14%, p  =  0.033). Adaptive coping strategies, such as fighting spirit and fatalism, and borderline strategies such as avoidance, did not play a role in this relationship. Conclusion: Taking into account and evaluating coping mechanisms in cancer care is a priority when disclosing information on treatments, in order to tailor communication style to individual features. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

10. How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science

Author

Amato, G., Candela, L., Castelli, D., Esuli, A., Falchi, F., Gennaro, C., Giannotti, F., Monreale, A., Nanni, M., Pagano, P., Pappalardo, L., Pedreschi, D., Pratesi, F., Rabitti, F., Rinzivillo, S., Rossetti, G., Ruggieri, S., Sebastiani, F., Tesconi, M., Kacprzyk, Janusz, Series editor, Flesca, Sergio, editor, Greco, Sergio, editor, Masciari, Elio, editor, and Saccà, Domenico, editor

Published
2018
Full Text
View/download PDF

17. Use of social network as a coping strategy for depression among young people during the COVID-19 lockdown: findings from the COMET collaborative study

Author

Orsolini, L, Volpe, U, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Del Vecchio, V, Di Nicola, M, Giallonardo, V, Luciano, M, Menculini, G, Nanni, M, Pompili, M, Sani, G, Sampogna, G, Tortorella, A, Fiorillo, A, Orsolini L., Volpe U., Albert U., Carmassi C., Carra G., Cirulli F., Dell'Osso B., Del Vecchio V., Di Nicola M., Giallonardo V., Luciano M., Menculini G., Nanni M. G., Pompili M., Sani G., Sampogna G., Tortorella A., Fiorillo A., Orsolini, L, Volpe, U, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Del Vecchio, V, Di Nicola, M, Giallonardo, V, Luciano, M, Menculini, G, Nanni, M, Pompili, M, Sani, G, Sampogna, G, Tortorella, A, Fiorillo, A, Orsolini L., Volpe U., Albert U., Carmassi C., Carra G., Cirulli F., Dell'Osso B., Del Vecchio V., Di Nicola M., Giallonardo V., Luciano M., Menculini G., Nanni M. G., Pompili M., Sani G., Sampogna G., Tortorella A., and Fiorillo A.

Abstract

Background: Use of social media (SM) has exponentially grown particularly among youths in the past two years, due to COVID-19-related changing lifestyles. Based on the Italian COvid Mental hEalth Trial (COMET), we investigated the association between SM use and depressive symptoms among Italian young adults (aged 18–24). Methods: The COMET is a nationwide multi-center cross-sectional study that investigated socio-demographic data, social networking addiction (BSNAS), depression, anxiety, and stress (DASS-21), as well as impulsiveness (BIS-15) and aggressiveness (AQ) in a large sample of youngsters, in order to assess the association between BSNAS and DASS-21 indices. Mediation analyses were performed to evaluate the role of impulsiveness and aggressive personality traits in the association between SM use (SMU) and depression. Results: 75.8% of the sample (n = 491) had a problematic SMU. SMU was reduced by high AQ and high DASS-21 scores (F = 42.338, p < 0.001, R2 = 0.207). Mediation analyses showed that SMU negatively predicted depressive symptomatology with the interaction mediated by AQ total (ß = − 0.1075), physical (ß = − 0.207) and anger (ß = − 0.0582), BIS-15 total (ß = − 0.0272) and attentional (ß = − 0.0302). High depressive levels were predicted by high AQ scores, low SMU levels, low verbal and physical AQ, and low attentional BIS-15 (F = 30.322, p < 0.001, R2 = 0.273). Depressive symptomatology negatively predicted SMU with their interaction mediated by AQ total (ß = − 0.1640), verbal (ß = 0.0436) and anger (ß = − 0.0807), BIS-15 total (ß = − 0.0448) and attentional (ß = − 0.0409). Conclusions: SMU during the early phases of the COVID-19 pandemic could have a beneficial role in buffering negative consequences linked to social isolation due to quarantine measures, despite this association being mediated by specific personality traits.

Published
2022

18. Were anxiety, depression and psychological distress associated with local mortality rates during COVID-19 outbreak in Italy? Findings from the COMET study

Author

Carra, G, Crocamo, C, Bartoli, F, Riboldi, I, Sampogna, G, Luciano, M, Albert, U, Carmassi, C, Cirulli, F, Dell'Osso, B, Menculini, G, Nanni, M, Pompili, M, Sani, G, Volpe, U, Fiorillo, A, Carra G., Crocamo C., Bartoli F., Riboldi I., Sampogna G., Luciano M., Albert U., Carmassi C., Cirulli F., Dell'Osso B., Menculini G., Nanni M. G., Pompili M., Sani G., Volpe U., Fiorillo A., Carra, G, Crocamo, C, Bartoli, F, Riboldi, I, Sampogna, G, Luciano, M, Albert, U, Carmassi, C, Cirulli, F, Dell'Osso, B, Menculini, G, Nanni, M, Pompili, M, Sani, G, Volpe, U, Fiorillo, A, Carra G., Crocamo C., Bartoli F., Riboldi I., Sampogna G., Luciano M., Albert U., Carmassi C., Cirulli F., Dell'Osso B., Menculini G., Nanni M. G., Pompili M., Sani G., Volpe U., and Fiorillo A.

Abstract

Background: The mental health of the Italian population declined at the onset of the COVID-19 pandemic. However, nationwide population prevalence estimates may not effectively reproduce the heterogeneity in distress responses to the pandemic. In particular, contextual determinants specific to COVID-19 pandemic need to be considered. We thus aimed to explore the association between local COVID-19 mortality rates and mental health response among the general population. Methods: We capitalised on data (N = 17,628) from a large, cross-sectional, national survey, the COMET study, run between March and May 2020. While psychological distress was measured by General Health Questionnaire–12 (GHQ-12), the Depression, Anxiety and Stress Scale-21 Items (DASS-21) was used to assess relevant domains. In addition, a Covid-19 mortality ratio was built to compare single regional mortality rates to the national estimate and official statistics were used to control for other area-level determinants. Results: Adjusted ordered regression analyses showed an association between mortality ratio and moderate (OR = 1.10, 95%CI 1.03–1.18) and severe (OR = 1.11, 95%CI 1.03–1.21) DASS-21 anxiety levels. No effects of mortality ratio on GHQ-12 scores and DASS-21 depression and stress levels, uniformly high across the country, were estimated. Conclusions: Although we could not find any association between regional COVID-19 mortality ratio and depression or psychological distress, anxiety levels were significantly increased among subjects from areas with the highest mortality rates. Local mortality rate seems a meaningful driver for anxiety among the general population. Considering the potentially long-lasting scenario, local public health authorities should provide neighbouring communities with preventive interventions reducing psychological isolation and anxiety levels.

Published
2022

19. Insomnia and related factors in patients with pre-existing psychiatric disorders compared to the general population during the COVID-19 lockdown: Findings from the multicentric COMET study

Author

Dell'Osso, B, Vigano, C, Conti, D, Scarpa, C, Casati, L, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Nanni, M, Pompili, M, Sampogna, G, Sani, G, Tortorella, A, Volpe, U, Fiorillo, A, Dell'Osso B., Vigano C., Conti D., Scarpa C., Casati L., Albert U., Carmassi C., Carra G., Cirulli F., Nanni M. G., Pompili M., Sampogna G., Sani G., Tortorella A., Volpe U., Fiorillo A., Dell'Osso, B, Vigano, C, Conti, D, Scarpa, C, Casati, L, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Nanni, M, Pompili, M, Sampogna, G, Sani, G, Tortorella, A, Volpe, U, Fiorillo, A, Dell'Osso B., Vigano C., Conti D., Scarpa C., Casati L., Albert U., Carmassi C., Carra G., Cirulli F., Nanni M. G., Pompili M., Sampogna G., Sani G., Tortorella A., Volpe U., and Fiorillo A.

Abstract

Background: The COVID-19 pandemic has heavily impacted social, economic and health systems worldwide. Necessary confinement measures have, in turn, contributed to the occurrence of several stress-related conditions and deterioration of pre-existing mental conditions, including insomnia. Objective: The present study sought to investigate the occurrence and severity of insomnia during the COVID-19 lockdown among psychiatric patients and in the general population in the largest Italian sample examined to date. Potential factors associated with a risk of developing insomnia in the global sample were examined as well. Methods: A sample of 20,720 people (5.5% of them being psychiatric patients) was assessed through an online survey conducted during lockdown between March and May 2020. To investigate the occurrence and severity of sleep related issues, the Insomnia Severity Index (ISI) was used. In order to evaluate factors associated with the severity of insomnia in the global sample, multivariate linear regression models were performed. Results: During the lockdown, patients with pre-existing mental disorders reported a mean higher score on the ISI scale (p < 0.001) compared to the general population. According to the multivariate regression models, the first three weeks of lockdown were significantly associated with a higher risk of insomnia, but the risk disappeared in the fourth week. Other associated factors included: the presence of a pre-existing mental disorder, ages 24 to 64 years old, and/or being female (p < 0.001). Conclusions: Although containment measures represent essential public health strategies to avoid the spread of the COVID-19 pandemic, sleep was one of the aspects affected during the early stages of the lockdown in both people with pre-existing mental disorders and general population. As an integral part of COVID-19 intervention, it is useful to raise awareness about these issues and to adopt both preventive and therapeutic interventions.

Published
2022

20. COVID-19-Related Social Isolation Predispose to Problematic Internet and Online Video Gaming Use in Italy

Author

Volpe, U, Orsolini, L, Salvi, V, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Luciano, M, Menculini, G, Nanni, M, Pompili, M, Sani, G, Sampogna, G, Murri, M, Caruso, R, Vecchio, V, Nicola, M, Giallonardo, V, Giannelli, L, Mugnolo, A, Tonioni, F, Tortorella, A, Fiorillo, A, Volpe U., Orsolini L., Salvi V., Albert U., Carmassi C., Carra G., Cirulli F., Dell'Osso B., Luciano M., Menculini G., Nanni M. G., Pompili M., Sani G., Sampogna G., Murri M. B., Caruso R., Vecchio V. D., Nicola M. D., Giallonardo V., Giannelli L., Mugnolo A., Tonioni F., Tortorella A., Fiorillo A., Volpe, U, Orsolini, L, Salvi, V, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Luciano, M, Menculini, G, Nanni, M, Pompili, M, Sani, G, Sampogna, G, Murri, M, Caruso, R, Vecchio, V, Nicola, M, Giallonardo, V, Giannelli, L, Mugnolo, A, Tonioni, F, Tortorella, A, Fiorillo, A, Volpe U., Orsolini L., Salvi V., Albert U., Carmassi C., Carra G., Cirulli F., Dell'Osso B., Luciano M., Menculini G., Nanni M. G., Pompili M., Sani G., Sampogna G., Murri M. B., Caruso R., Vecchio V. D., Nicola M. D., Giallonardo V., Giannelli L., Mugnolo A., Tonioni F., Tortorella A., and Fiorillo A.

Abstract

COVID-19 pandemic and its related containment measures have been associated with increased levels of stress, anxiety and depression in the general population. While the use of digital media has been greatly promoted by national governments and international authorities to maintain social contacts and healthy lifestyle behaviors, its increased access may also bear the risk of inappropriate or excessive use of internet-related resources. The present study, part of the COVID Mental hEalth Trial (COMET) study, aims at investigating the possible relationship between social isolation, the use of digital resources and the development of their problematic use. A cross sectional survey was carried out to explore the prevalence of internet addiction, excessive use of social media, problematic video gaming and binge watching, during Italian phase II (May-June 2020) and III (June-September 2020) of the pandemic in 1385 individuals (62.5% female, mean age 32.5 ± 12.9) mainly living in Central Italy (52.4%). Data were stratified according to phase II/III and three groups of Italian regions (northern, central and southern). Compared to the larger COMET study, most participants exhibited significant higher levels of severe-to-extremely-severe depressive symptoms (46.3% vs. 12.4%; p < 0.01) and extremely severe anxiety symptoms (77.8% vs. 7.5%; p < 0.01). We also observed a rise in problematic internet use and excessive gaming over time. Mediation analyses revealed that COVID-19-related general psychopathology, stress, anxiety, depression and social isolation play a significant role in the emergence of problematic internet use, social media addiction and problematic video gaming. Professional gamers and younger subjects emerged as sub-populations particularly at risk of developing digital addictions. If confirmed in larger and more homogenous samples, our findings may help in shedding light on possible preventive and treatment strategies for digital addictions.

Published
2022

21. Geolet: An Interpretable Model for Trajectory Classification

Author

Landi C., Spinnato F., Guidotti R., Monreale A., and Nanni M.

Subjects
Mobility data analysis, Interpretable machine learning, Explainable AI, Trajectory classification
Abstract

The large and diverse availability of mobility data enables the development of predictive models capable of recognizing various types of movements. Through a variety of GPS devices, any moving entity, animal, person, or vehicle can generate spatio-temporal trajectories. This data is used to infer migration patterns, manage traffic in large cities, and monitor the spread and impact of diseases, all critical situations that necessitate a thorough understanding of the underlying problem. Researchers, businesses, and governments use mobility data to make decisions that affect people's lives in many ways, employing accurate but opaque deep learning models that are difficult to interpret from a human standpoint. To address these limitations, we propose Geolet, a human-interpretable machine-learning model for trajectory classification. We use discriminative sub-trajectories extracted from mobility data to turn trajectories into a simplified representation that can be used as input by any machine learning classifier. We test our approach against state-of-the-art competitors on real-world datasets. Geolet outperforms black-box models in terms of accuracy while being orders of magnitude faster than its interpretable competitors.

Published
2023
Full Text
View/download PDF

23. Connected vehicle simulation framework for parking occupancy prediction (demo paper)

Author

Resce P., Vorwerk L., Han Z., Cornacchia G., Alamdari O. I., Nanni M., Pappalardo L., Weimer D., and Liu Y.

Subjects
Connected car, Traffic simulation, Parking occupancy prediction
Abstract

This paper demonstrates a simulation framework that collects data about connected vehicles' locations and surroundings in a realistic traffic scenario. Our focus lies on the capability to detect parking spots and their occupancy status. We use this data to train machine learning models that predict parking occupancy levels of specific areas in the city center of San Francisco. By comparing their performance to a given ground truth, our results show that it is possible to use simulated connected vehicle data as a base for prototyping meaningful AI-based applications.

Published
2022
Full Text
View/download PDF

24. Exploring Real Mobility Data with M-Atlas

Author

Trasarti, R., Rinzivillo, S., Pinelli, F., Nanni, M., Monreale, A., Renso, C., Pedreschi, D., Giannotti, F., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Balcázar, José Luis, editor, Bonchi, Francesco, editor, Gionis, Aristides, editor, and Sebag, Michèle, editor

Published
2010
Full Text
View/download PDF

26. How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science

Author

Amato, G., primary, Candela, L., additional, Castelli, D., additional, Esuli, A., additional, Falchi, F., additional, Gennaro, C., additional, Giannotti, F., additional, Monreale, A., additional, Nanni, M., additional, Pagano, P., additional, Pappalardo, L., additional, Pedreschi, D., additional, Pratesi, F., additional, Rabitti, F., additional, Rinzivillo, S., additional, Rossetti, G., additional, Ruggieri, S., additional, Sebastiani, F., additional, and Tesconi, M., additional

Published
2017
Full Text
View/download PDF

29. Did we learn something positive out of the COVID-19 pandemic? Post-traumatic growth and mental health in the general population

Author

Menculini, G, Albert, U, Bianchini, V, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Fabrazzo, M, Perris, F, Sampogna, G, Nanni, M, Pompili, M, Sani, G, Volpe, U, Tortorella, A, Menculini G., Albert U., Bianchini V., Carmassi C., Carra G., Cirulli F., Dell'Osso B., Fabrazzo M., Perris F., Sampogna G., Nanni M. G., Pompili M., Sani G., Volpe U., Tortorella A., Menculini, G, Albert, U, Bianchini, V, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Fabrazzo, M, Perris, F, Sampogna, G, Nanni, M, Pompili, M, Sani, G, Volpe, U, Tortorella, A, Menculini G., Albert U., Bianchini V., Carmassi C., Carra G., Cirulli F., Dell'Osso B., Fabrazzo M., Perris F., Sampogna G., Nanni M. G., Pompili M., Sani G., Volpe U., and Tortorella A.

Abstract

When facing a traumatic event, some people may experience positive changes, defined as posttraumatic growth (PTG). A collective experience of trauma can help people reflecting on their traumatic experiences, as it would be the case for the COVID-19 pandemic. Understanding the possible positive consequences of the pandemic on the individual level is crucial for the development of preventive and supportive psychosocial interventions for the general population. The present paper aims to: 1) evaluate the levels of PTG in a sample of the general population; 2) to identify predictors of each dimension of post-traumatic growth. The majority of the sample (67%, N=13,889) did not report any significant improvement in any domain of PTG. Participants reported the highest levels of growth in the dimension of "appreciation of life" (2.3±1.4), while the lowest level was found in the "spiritual change" (1.2±1.2). Female participants reported a slightly higher level of PTG in the dimensions of personal strength (p<.002) and appreciation for life (p<.007) compared to male participants, while no significant association was found with age. At the multivariate regression models, weighted for the propensity score, only the initial week of lockdown (between April 9 - April 15) had a negative impact on the dimension of "relating to others" of the PTG (B= -.107, 95% CI= -.181 to -.032, p<.005), while over time no other effects were found. However, the duration of exposure to lockdown measures did not influence the other dimensions of PTG. The assessment of the levels of PTG in the general population during the initial phase of the national health emergency is of great importance for the development of ad hoc supportive and preventive psychosocial interventions. From a public health perspective, the identification of protective factors is crucial for developing ad-hoc tailored interventions and for preventing the development of full-blown mental disorders in large scale.

Published
2021

30. Access to mental health care during the first wave of the covid‐19 pandemic in italy: Results from the comet multicentric study

Author

Menculini, G, Tortorella, A, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Luciano, M, Nanni, M, Pompili, M, Sani, G, Volpe, U, Fiorillo, A, Sampogna, G, Menculini G., Tortorella A., Albert U., Carmassi C., Carra G., Cirulli F., Dell'osso B., Luciano M., Nanni M. G., Pompili M., Sani G., Volpe U., Fiorillo A., Sampogna G., Menculini, G, Tortorella, A, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Luciano, M, Nanni, M, Pompili, M, Sani, G, Volpe, U, Fiorillo, A, Sampogna, G, Menculini G., Tortorella A., Albert U., Carmassi C., Carra G., Cirulli F., Dell'osso B., Luciano M., Nanni M. G., Pompili M., Sani G., Volpe U., Fiorillo A., and Sampogna G.

Abstract

The COVID‐19 pandemic represents an unprecedented public health emergency, with consequences at the political, social, and economic levels. Mental health services have been called to play a key role in facing the impact of the pandemic on the mental health of the general population. In the period March‐May 2020, an online survey was implemented as part of the Covid Mental Health Trial (COMET), a multicentric collaborative study carried out in Italy, one of the Western countries most severely hit by the pandemic. The present study aims to investigate the use of mental health resources during the first wave of the pandemic. The final sample consisted of 20,712 participants, mainly females (N = 14,712, 71%) with a mean age of 40.4 ± 14.3 years. Access to mental health services was reported in 7.7% of cases. Among those referred to mental health services, in 93.9% of cases (N = 1503 subjects) a psychological assessment was requested and in 15.7% of cases (N = 252) a psychiatric consultation. People reporting higher levels of perceived loneliness (OR 1.079, 95% CI 1.056–1.101, p < 0.001), practicing smart‐working (OR 1.122, 95% CI 0.980–1.285, p = 0.095), using avoidant (OR 1.586, 95% CI 1.458–1.725, p < 0.001) and approach (OR 1.215, 95% CI 1.138–1.299, p < 0.001) coping strategies more frequently accessed mental health services. On the other hand, having higher levels of perceived social support (OR 0.833, 95% CI 0.795–0.873, p < 0.001) was associated with a reduced probability to access mental health services. The COVID‐19 pandemic represents a new threat to the mental health and well‐being of the general population, therefore specific strategies should be implemented to promote access to mental healthcare during the pandemic and afterwards.

Published
2021

31. What is the role of resilience and coping strategies on the mental health of the general population during the covid-19 pandemic? Results from the italian multicentric comet study

Author

Sampogna, G, Del Vecchio, V, Giallonardo, V, Luciano, M, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Menculini, G, Nanni, M, Pompili, M, Sani, G, Volpe, U, Bianchini, V, Fiorillo, A, Sampogna G., Del Vecchio V., Giallonardo V., Luciano M., Albert U., Carmassi C., Carra G., Cirulli F., Dell'osso B., Menculini G., Nanni M., Pompili M., Sani G., Volpe U., Bianchini V., Fiorillo A., Sampogna, G, Del Vecchio, V, Giallonardo, V, Luciano, M, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Menculini, G, Nanni, M, Pompili, M, Sani, G, Volpe, U, Bianchini, V, Fiorillo, A, Sampogna G., Del Vecchio V., Giallonardo V., Luciano M., Albert U., Carmassi C., Carra G., Cirulli F., Dell'osso B., Menculini G., Nanni M., Pompili M., Sani G., Volpe U., Bianchini V., and Fiorillo A.

Abstract

The effects of the COVID-19 pandemic on mental health are now well documented, how-ever, few studies have been focused on the role of coping strategies and resilience in counterbalancing these detrimental effects. Data are derived from the COvid Mental hEalth Trial (COMET), a national multicentric trial carried out in the Italian general population. The final sample consisted of 20,720 participants, 53.1% (n = 11,000) of the sample reported low levels of resilience. Adaptive coping strategies and resilience levels did not have any significant protective impact on the levels of depressive, anxiety, and stress symptoms. Only self-distraction was a risk factor for poor mental health (Beta Coefficient, B = 0.1, 95% Confidence Interval, CI: 0.003 to 0.267 for stress symptoms; B = 0.2; 95% CI: 0.077 to 0.324 for anxiety symptoms and B = 0.2, 95% CI: 0.105 to 0.382 for depressive symptoms). High levels of resilience were predicted by adaptive coping strategies, such as acceptance (B = 1.8, CI 95% = 1.4–2.7). Exposure to the different weeks of lockdown, being infected by COVID-19, and being a healthcare professional did not influence the levels of resilience. Our findings should be carefully considered, since the low levels of resilience may represent the missing link between the pandemic and the current increase in mental health problems.

Published
2021

33. Psychopathological burden and coping strategies among frontline and second-line Italian healthcare workers facing the COVID-19 emergency: Findings from the COMET collaborative network

Author

Sani, G, Janiri, D, Moccia, L, Albert, U, Carrà, G, Carmassi, C, Cirulli, F, Dell'Osso, B, Menculini, G, Nanni, M, Pompili, M, Volpe, U, Fiorillo, A, Sani, Gabriele, Janiri, Delfina, Moccia, Lorenzo, Albert, Umberto, Carrà, Giuseppe, Carmassi, Claudia, Cirulli, Francesca, Dell'Osso, Bernardo, Menculini, Giulia, Nanni, Maria Giulia, Pompili, Maurizio, Volpe, Umberto, Fiorillo, Andrea, Sani, G, Janiri, D, Moccia, L, Albert, U, Carrà, G, Carmassi, C, Cirulli, F, Dell'Osso, B, Menculini, G, Nanni, M, Pompili, M, Volpe, U, Fiorillo, A, Sani, Gabriele, Janiri, Delfina, Moccia, Lorenzo, Albert, Umberto, Carrà, Giuseppe, Carmassi, Claudia, Cirulli, Francesca, Dell'Osso, Bernardo, Menculini, Giulia, Nanni, Maria Giulia, Pompili, Maurizio, Volpe, Umberto, and Fiorillo, Andrea

Abstract

Background: The aim of this study was to explore the psychopathological burden related to COVID-19 together with coping strategies in healthcare workers, focusing on differences between frontline and second-line workers. Methods: This is a cross-sectional study part of the COvid Mental hEalth Trial (COMET). Participants' socio-demographic and COVID-19-related information was collected through an online survey. Psychiatric symptoms and coping strategies were also investigated. Multivariate analyses, corrected for demographic characteristics, were adopted to assess differences between frontline and second-line workers. Results: The sample consisted of 20,720 individuals. Healthcare workers (n = 2907) presented with significantly higher risk for mental health disturbances as compared to the rest of the sample (p < 0.001). Healthcare professionals working versus not working on the front line differed in living in severely impacted areas (p < 0.001), precautionary isolation by COVID-19 (p < 0.001), infection by COVID-19 (p < 0.001). Frontline workers also reported significantly increased insomnia (p < 0.001), depression (p = 0.007), anxiety (p < 0.001), obsessive-compulsive symptoms (p < 0.001), non-specific chronic and acute traumatic stress (p < 0.001; p < 0.001), as well as more adaptive coping strategies (p = 0.001). Limitations: The survey was conducted between March and June 2020, at the peak of the COVID-19 outbreak in Italy. Accordingly, the mental health impact of the COVID-19 pandemic might have changed over time. The survey design involved online invitation and it was not possible to assess the participation rate. Conclusions: To our knowledge, this is the largest study addressing the psychopathological burden of Italian healthcare professionals during the COVID-19 outbreak and associated coping strategies. Empowering supportive interventions is crucial for the whole healthcare workforce.

Published
2022

34. COVID-19-Related Social Isolation Predispose to Problematic Internet and Online Video Gaming Use in Italy

Author

Volpe, U., Orsolini, L., Salvi, V., Albert, U., Carmassi, C., Carra, Giovanni, Cirulli, F., Dell'Osso, Bernardo Maria, Luciano, Rita Paola Maria, Menculini, G., Nanni, M. G., Pompili, Maurizio, Sani, Gabriele, Sampogna, G., Murri, M. B., Caruso, R., Vecchio, V. D., Nicola, M. D., Giallonardo, V., Giannelli, L., Mugnolo, A., Tonioni, Federico, Tortorella, Antonio, Fiorillo, A., Carra G., Dell'Osso B., Luciano M. (ORCID:0000-0003-4358-0757), Pompili M. (ORCID:0000-0001-6699-7980), Sani G. (ORCID:0000-0002-9767-8752), Tonioni F. (ORCID:0000-0002-7831-0194), Tortorella A., Volpe, U., Orsolini, L., Salvi, V., Albert, U., Carmassi, C., Carra, Giovanni, Cirulli, F., Dell'Osso, Bernardo Maria, Luciano, Rita Paola Maria, Menculini, G., Nanni, M. G., Pompili, Maurizio, Sani, Gabriele, Sampogna, G., Murri, M. B., Caruso, R., Vecchio, V. D., Nicola, M. D., Giallonardo, V., Giannelli, L., Mugnolo, A., Tonioni, Federico, Tortorella, Antonio, Fiorillo, A., Carra G., Dell'Osso B., Luciano M. (ORCID:0000-0003-4358-0757), Pompili M. (ORCID:0000-0001-6699-7980), Sani G. (ORCID:0000-0002-9767-8752), Tonioni F. (ORCID:0000-0002-7831-0194), and Tortorella A.

Abstract

COVID-19 pandemic and its related containment measures have been associated with increased levels of stress, anxiety and depression in the general population. While the use of digital media has been greatly promoted by national governments and international authorities to maintain social contacts and healthy lifestyle behaviors, its increased access may also bear the risk of inappropriate or excessive use of internet-related resources. The present study, part of the COVID Mental hEalth Trial (COMET) study, aims at investigating the possible relationship between social isolation, the use of digital resources and the development of their problematic use. A cross sectional survey was carried out to explore the prevalence of internet addiction, excessive use of social media, problematic video gaming and binge watching, during Italian phase II (May-June 2020) and III (June-September 2020) of the pandemic in 1385 individuals (62.5% female, mean age 32.5 ± 12.9) mainly living in Central Italy (52.4%). Data were stratified according to phase II/III and three groups of Italian regions (northern, central and southern). Compared to the larger COMET study, most participants exhibited significant higher levels of severe-to-extremely-severe depressive symptoms (46.3% vs. 12.4%; p < 0.01) and extremely severe anxiety symptoms (77.8% vs. 7.5%; p < 0.01). We also observed a rise in problematic internet use and excessive gaming over time. Mediation analyses revealed that COVID-19-related general psychopathology, stress, anxiety, depression and social isolation play a significant role in the emergence of problematic internet use, social media addiction and problematic video gaming. Professional gamers and younger subjects emerged as sub-populations particularly at risk of developing digital addictions. If confirmed in larger and more homogenous samples, our findings may help in shedding light on possible preventive and treatment strategies for digital addictions.

Published
2022

35. The impact of Covid-19 on unemployment across Italy: Consequences for those affected by psychiatric conditions

Author

Pompili, M, Innamorati, M, Sampogna, G, Albert, U, Carmassi, C, Carrà, G, Cirulli, F, Erbuto, D, Luciano, M, Nanni, M, Sani, G, Tortorella, A, Viganò, C, Volpe, U, Fiorillo, A, Pompili, Maurizio, Innamorati, Marco, Sampogna, Gaia, Albert, Umberto, Carmassi, Claudia, Carrà, Giuseppe, Cirulli, Francesca, Erbuto, Denise, Luciano, Mario, Nanni, Maria Giulia, Sani, Gabriele, Tortorella, Alfonso, Viganò, Caterina, Volpe, Umberto, Fiorillo, Andrea, Pompili, M, Innamorati, M, Sampogna, G, Albert, U, Carmassi, C, Carrà, G, Cirulli, F, Erbuto, D, Luciano, M, Nanni, M, Sani, G, Tortorella, A, Viganò, C, Volpe, U, Fiorillo, A, Pompili, Maurizio, Innamorati, Marco, Sampogna, Gaia, Albert, Umberto, Carmassi, Claudia, Carrà, Giuseppe, Cirulli, Francesca, Erbuto, Denise, Luciano, Mario, Nanni, Maria Giulia, Sani, Gabriele, Tortorella, Alfonso, Viganò, Caterina, Volpe, Umberto, and Fiorillo, Andrea

Abstract

Background: Severe psychological and psychosocial consequences of the COVID-19 pandemic are expected, especially for people already vulnerable to biological or psychosocial stressors, including those with mental health problems. The study aimed to investigate factors associated with the loss of jobs and unemployment during the COVID-19 pandemic. In particular, we investigated whether mental illness was associated with a higher risk of losing one's job because of the COVID-19 pandemic. Methods: Nineteen thousand four hundred ninety-six adults living in Italy were administered an online protocol including a sociodemographic checklist and questionnaires investigating suicide ideation and risk, mental health status and general distress (stress, anxiety, and depression), resilience, and perceived support. Results: One thousand two hundred seventy-four reported having lost their job because of the COVID-19 pandemic, and 5.4% of the sample reported a mental illness (mostly a depressive disorder). Unemployment was independently associated with mental illness, poor mental health, and depression. Mental illness was associated with the risk of losing one's job because of the COVID-19 pandemic, but not at the multivariate analyses. Those who lost their job because of the COVID-19 pandemic (compared to others) reported worse mental health and depression. Limitations: The presence of mental illness was self-reported by respondents and the administered measures were self-reported questionnaires affected by social desirability and other response bias. Conclusions: The COVID-19 pandemic and social isolation measures and lockdown used to contain its spread among the Italian population were associated with occupational insecurity, especially among the more vulnerable social categories.

Published
2022

36. Psychopathological burden and coping strategies among frontline and second-line Italian healthcare workers facing the COVID-19 emergency: Findings from the COMET collaborative network

Author

Sani, Gabriele, Janiri, Delfina, Moccia, Lorenzo, Albert, U., Carra, Giovanni, Carmassi, C., Cirulli, F., Dell'Osso, Bernardo Maria, Menculini, G., Nanni, M. G., Pompili, Maurizio, Volpe, U., Fiorillo, A., Sani G. (ORCID:0000-0002-9767-8752), Janiri D., Moccia L., Carra G., Dell'Osso B., Pompili M. (ORCID:0000-0001-6699-7980), Sani, Gabriele, Janiri, Delfina, Moccia, Lorenzo, Albert, U., Carra, Giovanni, Carmassi, C., Cirulli, F., Dell'Osso, Bernardo Maria, Menculini, G., Nanni, M. G., Pompili, Maurizio, Volpe, U., Fiorillo, A., Sani G. (ORCID:0000-0002-9767-8752), Janiri D., Moccia L., Carra G., Dell'Osso B., and Pompili M. (ORCID:0000-0001-6699-7980)

Abstract

Background: The aim of this study was to explore the psychopathological burden related to COVID-19 together with coping strategies in healthcare workers, focusing on differences between frontline and second-line workers. Methods: This is a cross-sectional study part of the COvid Mental hEalth Trial (COMET). Participants' socio-demographic and COVID-19-related information was collected through an online survey. Psychiatric symptoms and coping strategies were also investigated. Multivariate analyses, corrected for demographic characteristics, were adopted to assess differences between frontline and second-line workers. Results: The sample consisted of 20,720 individuals. Healthcare workers (n = 2907) presented with significantly higher risk for mental health disturbances as compared to the rest of the sample (p < 0.001). Healthcare professionals working versus not working on the front line differed in living in severely impacted areas (p < 0.001), precautionary isolation by COVID-19 (p < 0.001), infection by COVID-19 (p < 0.001). Frontline workers also reported significantly increased insomnia (p < 0.001), depression (p = 0.007), anxiety (p < 0.001), obsessive-compulsive symptoms (p < 0.001), non-specific chronic and acute traumatic stress (p < 0.001; p < 0.001), as well as more adaptive coping strategies (p = 0.001). Limitations: The survey was conducted between March and June 2020, at the peak of the COVID-19 outbreak in Italy. Accordingly, the mental health impact of the COVID-19 pandemic might have changed over time. The survey design involved online invitation and it was not possible to assess the participation rate. Conclusions: To our knowledge, this is the largest study addressing the psychopathological burden of Italian healthcare professionals during the COVID-19 outbreak and associated coping strategies. Empowering supportive interventions is crucial for the whole healthcare workforce.

Published
2022

40. How to improve adherence to antidepressant treatments in patients with major depression: A psychoeducational consensus checklist

Author

Dell'Osso, B, Albert, U, Carra, G, Pompili, M, Nanni, M, Pasquini, M, Poloni, N, Raballo, A, Sambataro, F, Serafini, G, Vigano, C, Demyttenaere, K, Mcintyre, R, Fiorillo, A, Dell'Osso B., Albert U., Carra Giuseppe., Pompili M., Nanni M. G., Pasquini M., Poloni N., Raballo A., Sambataro F., Serafini G., Vigano C., Demyttenaere K., McIntyre R. S., Fiorillo A., Dell'Osso, B, Albert, U, Carra, G, Pompili, M, Nanni, M, Pasquini, M, Poloni, N, Raballo, A, Sambataro, F, Serafini, G, Vigano, C, Demyttenaere, K, Mcintyre, R, Fiorillo, A, Dell'Osso B., Albert U., Carra Giuseppe., Pompili M., Nanni M. G., Pasquini M., Poloni N., Raballo A., Sambataro F., Serafini G., Vigano C., Demyttenaere K., McIntyre R. S., and Fiorillo A.

Abstract

Studies conducted in primary care as well as in psychiatric settings show that more than half of patients suffering from major depressive disorder (MDD) have poor adherence to antidepressants. Patients prematurely discontinue antidepressant therapy for various reasons, including patient-related (e.g., misperceptions about antidepressants, side-effects, and lack of tolerability), clinician-related (e.g., insufficient instruction received by clinicians about the medication, lack of shared decision-making, and follow-up care), as well as structural factors (e.g., access, cost, and stigma). The high rate of poor adherence to antidepressant treatments provides the impetus for identifying factors that are contributing to noncompliance in an individual patient, to implement a careful education about this phenomenon. As adherence to antidepressants is one of the major unmet needs in MDD treatment, being associated with negative outcomes, we sought to identify a series of priorities to be discussed with persons with MDD with the larger aim to improve treatment adherence. To do so, we analyzed a series of epidemiological findings and clinical reasons for this phenomenon, and then proceeded to define through a multi-step consensus a set of recommendations to be provided by psychiatrists and other practitioners at the time of the first (prescription) visit with patients. Herein, we report the results of this initiative.

Published
2020

41. Effects of the lockdown on the mental health of the general population during the COVID-19 pandemic in Italy: Results from the COMET collaborative network

Author

Fiorillo, A, Sampogna, G, Giallonardo, V, Del Vecchio, V, Luciano, M, Albert, U, Carmassi, C, Carra', G, Cirulli, F, Dell'Osso, B, Nanni, M, Pompili, M, Sani, G, Tortorella, A, Volpe, U, Fiorillo A., Sampogna G., Giallonardo V., Del Vecchio V., Luciano M., Albert U., Carmassi C., Carrà Giuseppe, Cirulli F., Dell'Osso B., Nanni M. G., Pompili M., Sani G., Tortorella A., Volpe U., Fiorillo, A, Sampogna, G, Giallonardo, V, Del Vecchio, V, Luciano, M, Albert, U, Carmassi, C, Carra', G, Cirulli, F, Dell'Osso, B, Nanni, M, Pompili, M, Sani, G, Tortorella, A, Volpe, U, Fiorillo A., Sampogna G., Giallonardo V., Del Vecchio V., Luciano M., Albert U., Carmassi C., Carrà Giuseppe, Cirulli F., Dell'Osso B., Nanni M. G., Pompili M., Sani G., Tortorella A., and Volpe U.

Abstract

BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic is an unprecedented traumatic event influencing the healthcare, economic, and social welfare systems worldwide. In order to slow the infection rates, lockdown has been implemented almost everywhere. Italy, one of the countries most severely affected, entered the "lockdown" on March 8, 2020. METHODS: The COvid Mental hEalth Trial (COMET) network includes 10 Italian university sites and the National Institute of Health. The whole study has three different phases. The first phase includes an online survey conducted between March and May 2020 in the Italian population. Recruitment took place through email invitation letters, social media, mailing lists of universities, national medical associations, and associations of stakeholders (e.g., associations of users/carers). In order to evaluate the impact of lockdown on depressive, anxiety and stress symptoms, multivariate linear regression models were performed, weighted for the propensity score. RESULTS: The final sample consisted of 20,720 participants. Among them, 12.4% of respondents (N = 2,555) reported severe or extremely severe levels of depressive symptoms, 17.6% (N = 3,627) of anxiety symptoms and 41.6% (N = 8,619) reported to feel at least moderately stressed by the situation at the DASS-21.According to the multivariate regression models, the depressive, anxiety and stress symptoms significantly worsened from the week April 9-15 to the week April 30 to May 4 (p < 0.0001). Moreover, female respondents and people with pre-existing mental health problems were at higher risk of developing severe depression and anxiety symptoms (p < 0.0001). CONCLUSIONS: Although physical isolation and lockdown represent essential public health measures for containing the spread of the COVID-19 pandemic, they are a serious threat for mental health and well-being of the general population. As an integral part of COVID-19

Published
2020

42. The impact of quarantine and physical distancing following covid-19 on mental health: Study protocol of a multicentric italian population trial

Author

Giallonardo, V, Sampogna, G, Del Vecchio, V, Luciano, M, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Nanni, M, Pompili, M, Sani, G, Tortorella, A, Volpe, U, Fiorillo, A, Giallonardo V., Sampogna G., Del Vecchio V., Luciano M., Albert U., Carmassi C., Carra G., Cirulli F., Dell'Osso B., Nanni M. G., Pompili M., Sani G., Tortorella A., Volpe U., Fiorillo A., Giallonardo, V, Sampogna, G, Del Vecchio, V, Luciano, M, Albert, U, Carmassi, C, Carra, G, Cirulli, F, Dell'Osso, B, Nanni, M, Pompili, M, Sani, G, Tortorella, A, Volpe, U, Fiorillo, A, Giallonardo V., Sampogna G., Del Vecchio V., Luciano M., Albert U., Carmassi C., Carra G., Cirulli F., Dell'Osso B., Nanni M. G., Pompili M., Sani G., Tortorella A., Volpe U., and Fiorillo A.

Abstract

The COVID-19 pandemic and its related containment measures—mainly physical distancing and isolation—are having detrimental consequences on the mental health of the general population worldwide. In particular, frustration, loneliness, and worries about the future are common reactions and represent well-known risk factors for several mental disorders, including anxiety, affective, and post-traumatic stress disorders. The vast majority of available studies have been conducted in China, where the pandemic started. Italy has been severely hit by the pandemic, and the socio-cultural context is compl etel y di fferent from Eastern countri es. Therefore, there i s the need for methodologically rigorous studies aiming to evaluate the impact of COVID-19 and quarantine measures on the mental health of the Italian population. In fact, our results will help us to develop appropriate interventions for managing the psychosocial consequences of pandemic. The “COVID-IT-mental health trial” is a no-profit, not-funded, national, multicentric, cross-sectional population-based trial which has the following aims: a) to evaluate the impact of COVID-19 pandemic and its containment measures on mental health of the Italian population; b) to identify the main areas to be targeted by supportive long-term interventions for the different categories of people exposed to the pandemic. Data will be collected through a web-platform using validated assessment tools. Participants will be subdivided into four groups: a) Group 1 —COVID-19 quarantine group. This group includes the general population which are quarantined but not isolated, i.e., those not directly exposed to contagion nor in contact with COVID-19+ individuals; b) Group 2—COVID-19+ group, which includes isolated people directly/indirectly exposed to the virus; c) Group 3—COVID-19 healthcare staff group, which includes first-and second-line healthcare professionals; d) Group 4— COVID-19 mental health, which includes users of mental health s

Published
2020

48. The INAF Radio Data Archive: towards a modern Science Gateway

Author

Zanichelli, A., primary, Knapic, C., additional, Londero, E., additional, Zorba, S., additional, Bedosti, F., additional, Righini, S., additional, Nanni, M., additional, Stagni, M., additional, Orlati, A., additional, Tinarelli, F., additional, Sponza, M., additional, Smareglia, R., additional, Fara, A., additional, Poppi, S., additional, Concu, R., additional, Molinaro, M., additional, Bignamini, A., additional, Costa, A., additional, Egron, E., additional, Galluzzi, V., additional, Mack, K.-H., additional, Pellizzonil, A., additional, and Vitello, F., additional

Published
2021
Full Text
View/download PDF

49. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

Author

Klionsky, DJ, Abdel-Aziz, AK, Abdelfatah, S, Abdellatif, M, Abdoli, A, Abel, S, Abeliovich, H, Abildgaard, MH, Abudu, YP, Acevedo-Arozena, A, Adamopoulos, IE, Adeli, K, Adolph, TE, Adornetto, A, Aflaki, E, Agam, G, Agarwal, A, Aggarwal, BB, Agnello, M, Agostinis, P, Agrewala, JN, Agrotis, A, Aguilar, PV, Ahmad, ST, Ahmed, ZM, Ahumada-Castro, U, Aits, S, Aizawa, S, Akkoc, Y, Akoumianaki, T, Akpinar, HA, Al-Abd, AM, Al-Akra, L, Al-Gharaibeh, A, Alaoui-Jamali, MA, Alberti, S, Alcocer-Gómez, E, Alessandri, C, Ali, M, Alim Al-Bari, MA, Aliwaini, S, Alizadeh, J, Almacellas, E, Almasan, A, Alonso, A, Alonso, GD, Altan-Bonnet, N, Altieri, DC, Álvarez, ÉMC, Alves, S, Alves da Costa, C, Alzaharna, MM, Amadio, M, Amantini, C, Amaral, C, Ambrosio, S, Amer, AO, Ammanathan, V, An, Z, Andersen, SU, Andrabi, SA, Andrade-Silva, M, Andres, AM, Angelini, S, Ann, D, Anozie, UC, Ansari, MY, Antas, P, Antebi, A, Antón, Z, Anwar, T, Apetoh, L, Apostolova, N, Araki, T, Araki, Y, Arasaki, K, Araújo, WL, Araya, J, Arden, C, Arévalo, M-A, Arguelles, S, Arias, E, Arikkath, J, Arimoto, H, Ariosa, AR, Armstrong-James, D, Arnauné-Pelloquin, L, Aroca, A, Arroyo, DS, Arsov, I, Artero, R, Asaro, DML, Aschner, M, Ashrafizadeh, M, Ashur-Fabian, O, Atanasov, AG, Au, AK, Auberger, P, Auner, HW, Aurelian, L, Autelli, R, Avagliano, L, Ávalos, Y, Aveic, S, Aveleira, CA, Avin-Wittenberg, T, Aydin, Y, Ayton, S, Ayyadevara, S, Azzopardi, M, Baba, M, Backer, JM, Backues, SK, Bae, D-H, Bae, O-N, Bae, SH, Baehrecke, EH, Baek, A, Baek, S-H, Baek, SH, Bagetta, G, Bagniewska-Zadworna, A, Bai, H, Bai, J, Bai, X, Bai, Y, Bairagi, N, Baksi, S, Balbi, T, Baldari, CT, Balduini, W, Ballabio, A, Ballester, M, Balazadeh, S, Balzan, R, Bandopadhyay, R, Banerjee, S, Bánréti, Á, Bao, Y, Baptista, MS, Baracca, A, Barbati, C, Bargiela, A, Barilà, D, Barlow, PG, Barmada, SJ, Barreiro, E, Barreto, GE, Bartek, J, Bartel, B, Bartolome, A, Barve, GR, Basagoudanavar, SH, Bassham, DC, Bast, RC, Basu, A, Batoko, H, Batten, I, Baulieu, EE, Baumgarner, BL, Bayry, J, Beale, R, Beau, I, Beaumatin, F, Bechara, LRG, Beck, GR, Beers, MF, Begun, J, Behrends, C, Behrens, GMN, Bei, R, Bejarano, E, Bel, S, Behl, C, Belaid, A, Belgareh-Touzé, N, Bellarosa, C, Belleudi, F, Belló Pérez, M, Bello-Morales, R, Beltran, JSDO, Beltran, S, Benbrook, DM, Bendorius, M, Benitez, BA, Benito-Cuesta, I, Bensalem, J, Berchtold, MW, Berezowska, S, Bergamaschi, D, Bergami, M, Bergmann, A, Berliocchi, L, Berlioz-Torrent, C, Bernard, A, Berthoux, L, Besirli, CG, Besteiro, S, Betin, VM, Beyaert, R, Bezbradica, JS, Bhaskar, K, Bhatia-Kissova, I, Bhattacharya, R, Bhattacharya, S, Bhattacharyya, S, Bhuiyan, MS, Bhutia, SK, Bi, L, Bi, X, Biden, TJ, Bijian, K, Billes, VA, Binart, N, Bincoletto, C, Birgisdottir, AB, Bjorkoy, G, Blanco, G, Blas-Garcia, A, Blasiak, J, Blomgran, R, Blomgren, K, Blum, JS, Boada-Romero, E, Boban, M, Boesze-Battaglia, K, Boeuf, P, Boland, B, Bomont, P, Bonaldo, P, Bonam, SR, Bonfili, L, Bonifacino, JS, Boone, BA, Bootman, MD, Bordi, M, Borner, C, Bornhauser, BC, Borthakur, G, Bosch, J, Bose, S, Botana, LM, Botas, J, Boulanger, CM, Boulton, ME, Bourdenx, M, Bourgeois, B, Bourke, NM, Bousquet, G, Boya, P, Bozhkov, PV, Bozi, LHM, Bozkurt, TO, Brackney, DE, Brandts, CH, Braun, RJ, Braus, GH, Bravo-Sagua, R, Bravo-San Pedro, JM, Brest, P, Bringer, M-A, Briones-Herrera, A, Broaddus, VC, Brodersen, P, Brodsky, JL, Brody, SL, Bronson, PG, Bronstein, JM, Brown, CN, Brown, RE, Brum, PC, Brumell, JH, Brunetti-Pierri, N, Bruno, D, Bryson-Richardson, RJ, Bucci, C, Buchrieser, C, Bueno, M, Buitrago-Molina, LE, Buraschi, S, Buch, S, Buchan, JR, Buckingham, EM, Budak, H, Budini, M, Bultynck, G, Burada, F, Burgoyne, JR, Burón, MI, Bustos, V, Büttner, S, Butturini, E, Byrd, A, Cabas, I, Cabrera-Benitez, S, Cadwell, K, Cai, J, Cai, L, Cai, Q, Cairó, M, Calbet, JA, Caldwell, GA, Caldwell, KA, Call, JA, Calvani, R, Calvo, AC, Calvo-Rubio Barrera, M, Camara, NO, Camonis, JH, Camougrand, N, Campanella, M, Campbell, EM, Campbell-Valois, F-X, Campello, S, Campesi, I, Campos, JC, Camuzard, O, Cancino, J, Candido de Almeida, D, Canesi, L, Caniggia, I, Canonico, B, Cantí, C, Cao, B, Caraglia, M, Caramés, B, Carchman, EH, Cardenal-Muñoz, E, Cardenas, C, Cardenas, L, Cardoso, SM, Carew, JS, Carle, GF, Carleton, G, Carloni, S, Carmona-Gutierrez, D, Carneiro, LA, Carnevali, O, Carosi, JM, Carra, S, Carrier, A, Carrier, L, Carroll, B, Carter, AB, Carvalho, AN, Casanova, M, Casas, C, Casas, J, Cassioli, C, Castillo, EF, Castillo, K, Castillo-Lluva, S, Castoldi, F, Castori, M, Castro, AF, Castro-Caldas, M, Castro-Hernandez, J, Castro-Obregon, S, Catz, SD, Cavadas, C, Cavaliere, F, Cavallini, G, Cavinato, M, Cayuela, ML, Cebollada Rica, P, Cecarini, V, Cecconi, F, Cechowska-Pasko, M, Cenci, S, Ceperuelo-Mallafré, V, Cerqueira, JJ, Cerutti, JM, Cervia, D, Cetintas, VB, Cetrullo, S, Chae, H-J, Chagin, AS, Chai, C-Y, Chakrabarti, G, Chakrabarti, O, Chakraborty, T, Chami, M, Chamilos, G, Chan, DW, Chan, EYW, Chan, ED, Chan, HYE, Chan, HH, Chan, H, Chan, MTV, Chan, YS, Chandra, PK, Chang, C-P, Chang, C, Chang, H-C, Chang, K, Chao, J, Chapman, T, Charlet-Berguerand, N, Chatterjee, S, Chaube, SK, Chaudhary, A, Chauhan, S, Chaum, E, Checler, F, Cheetham, ME, Chen, C-S, Chen, G-C, Chen, J-F, Chen, LL, Chen, L, Chen, M, Chen, M-K, Chen, N, Chen, Q, Chen, R-H, Chen, S, Chen, W, Chen, X-M, Chen, X-W, Chen, X, Chen, Y, Chen, Y-G, Chen, Y-J, Chen, Y-Q, Chen, ZS, Chen, Z, Chen, Z-H, Chen, ZJ, Cheng, H, Cheng, J, Cheng, S-Y, Cheng, W, Cheng, X, Cheng, X-T, Cheng, Y, Cheng, Z, Cheong, H, Cheong, JK, Chernyak, BV, Cherry, S, Cheung, CFR, Cheung, CHA, Cheung, K-H, Chevet, E, Chi, RJ, Chiang, AKS, Chiaradonna, F, Chiarelli, R, Chiariello, M, Chica, N, Chiocca, S, Chiong, M, Chiou, S-H, Chiramel, AI, Chiurchiù, V, Cho, D-H, Choe, S-K, Choi, AMK, Choi, ME, Choudhury, KR, Chow, NS, Chu, CT, Chua, JP, Chua, JJE, Chung, H, Chung, KP, Chung, S, Chung, S-H, Chung, Y-L, Cianfanelli, V, Ciechomska, IA, Cifuentes, M, Cinque, L, Cirak, S, Cirone, M, Clague, MJ, Clarke, R, Clementi, E, Coccia, EM, Codogno, P, Cohen, E, Cohen, MM, Colasanti, T, Colasuonno, F, Colbert, RA, Colell, A, Čolić, M, Coll, NS, Collins, MO, Colombo, MI, Colón-Ramos, DA, Combaret, L, Comincini, S, Cominetti, MR, Consiglio, A, Conte, A, Conti, F, Contu, VR, Cookson, MR, Coombs, KM, Coppens, I, Corasaniti, MT, Corkery, DP, Cordes, N, Cortese, K, Costa, MDC, Costantino, S, Costelli, P, Coto-Montes, A, Crack, PJ, Crespo, JL, Criollo, A, Crippa, V, Cristofani, R, Csizmadia, T, Cuadrado, A, Cui, B, Cui, J, Cui, Y, Culetto, E, Cumino, AC, Cybulsky, AV, Czaja, MJ, Czuczwar, SJ, D'Adamo, S, D'Amelio, M, D'Arcangelo, D, D'Lugos, AC, D'Orazi, G, da Silva, JA, Dafsari, HS, Dagda, RK, Dagdas, Y, Daglia, M, Dai, X, Dai, Y, Dal Col, J, Dalhaimer, P, Dalla Valle, L, Dallenga, T, Dalmasso, G, Damme, M, Dando, I, Dantuma, NP, Darling, AL, Das, H, Dasarathy, S, Dasari, SK, Dash, S, Daumke, O, Dauphinee, AN, Davies, JS, Dávila, VA, Davis, RJ, Davis, T, Dayalan Naidu, S, De Amicis, F, De Bosscher, K, De Felice, F, De Franceschi, L, De Leonibus, C, de Mattos Barbosa, MG, De Meyer, GRY, De Milito, A, De Nunzio, C, De Palma, C, De Santi, M, De Virgilio, C, De Zio, D, Debnath, J, DeBosch, BJ, Decuypere, J-P, Deehan, MA, Deflorian, G, DeGregori, J, Dehay, B, Del Rio, G, Delaney, JR, Delbridge, LMD, Delorme-Axford, E, Delpino, MV, Demarchi, F, Dembitz, V, Demers, ND, Deng, H, Deng, Z, Dengjel, J, Dent, P, Denton, D, DePamphilis, ML, Der, CJ, Deretic, V, Descoteaux, A, Devis, L, Devkota, S, Devuyst, O, Dewson, G, Dharmasivam, M, Dhiman, R, di Bernardo, D, Di Cristina, M, Di Domenico, F, Di Fazio, P, Di Fonzo, A, Di Guardo, G, Di Guglielmo, GM, Di Leo, L, Di Malta, C, Di Nardo, A, Di Rienzo, M, Di Sano, F, Diallinas, G, Diao, J, Diaz-Araya, G, Díaz-Laviada, I, Dickinson, JM, Diederich, M, Dieudé, M, Dikic, I, Ding, S, Ding, W-X, Dini, L, Dinić, J, Dinic, M, Dinkova-Kostova, AT, Dionne, MS, Distler, JHW, Diwan, A, Dixon, IMC, Djavaheri-Mergny, M, Dobrinski, I, Dobrovinskaya, O, Dobrowolski, R, Dobson, RCJ, Đokić, J, Dokmeci Emre, S, Donadelli, M, Dong, B, Dong, X, Dong, Z, Dorn Ii, GW, Dotsch, V, Dou, H, Dou, J, Dowaidar, M, Dridi, S, Drucker, L, Du, A, Du, C, Du, G, Du, H-N, Du, L-L, du Toit, A, Duan, S-B, Duan, X, Duarte, SP, Dubrovska, A, Dunlop, EA, Dupont, N, Durán, RV, Dwarakanath, BS, Dyshlovoy, SA, Ebrahimi-Fakhari, D, Eckhart, L, Edelstein, CL, Efferth, T, Eftekharpour, E, Eichinger, L, Eid, N, Eisenberg, T, Eissa, NT, Eissa, S, Ejarque, M, El Andaloussi, A, El-Hage, N, El-Naggar, S, Eleuteri, AM, El-Shafey, ES, Elgendy, M, Eliopoulos, AG, Elizalde, MM, Elks, PM, Elsasser, H-P, Elsherbiny, ES, Emerling, BM, Emre, NCT, Eng, CH, Engedal, N, Engelbrecht, A-M, Engelsen, AST, Enserink, JM, Escalante, R, Esclatine, A, Escobar-Henriques, M, Eskelinen, E-L, Espert, L, Eusebio, M-O, Fabrias, G, Fabrizi, C, Facchiano, A, Facchiano, F, Fadeel, B, Fader, C, Faesen, AC, Fairlie, WD, Falcó, A, Falkenburger, BH, Fan, D, Fan, J, Fan, Y, Fang, EF, Fang, Y, Fanto, M, Farfel-Becker, T, Faure, M, Fazeli, G, Fedele, AO, Feldman, AM, Feng, D, Feng, J, Feng, L, Feng, Y, Feng, W, Fenz Araujo, T, Ferguson, TA, Fernández, ÁF, Fernandez-Checa, JC, Fernández-Veledo, S, Fernie, AR, Ferrante, AW, Ferraresi, A, Ferrari, MF, Ferreira, JCB, Ferro-Novick, S, Figueras, A, Filadi, R, Filigheddu, N, Filippi-Chiela, E, Filomeni, G, Fimia, GM, Fineschi, V, Finetti, F, Finkbeiner, S, Fisher, EA, Fisher, PB, Flamigni, F, Fliesler, SJ, Flo, TH, Florance, I, Florey, O, Florio, T, Fodor, E, Follo, C, Fon, EA, Forlino, A, Fornai, F, Fortini, P, Fracassi, A, Fraldi, A, Franco, B, Franco, R, Franconi, F, Frankel, LB, Friedman, SL, Fröhlich, LF, Frühbeck, G, Fuentes, JM, Fujiki, Y, Fujita, N, Fujiwara, Y, Fukuda, M, Fulda, S, Furic, L, Furuya, N, Fusco, C, Gack, MU, Gaffke, L, Galadari, S, Galasso, A, Galindo, MF, Gallolu Kankanamalage, S, Galluzzi, L, Galy, V, Gammoh, N, Gan, B, Ganley, IG, Gao, F, Gao, H, Gao, M, Gao, P, Gao, S-J, Gao, W, Gao, X, Garcera, A, Garcia, MN, Garcia, VE, García-Del Portillo, F, Garcia-Escudero, V, Garcia-Garcia, A, Garcia-Macia, M, García-Moreno, D, Garcia-Ruiz, C, García-Sanz, P, Garg, AD, Gargini, R, Garofalo, T, Garry, RF, Gassen, NC, Gatica, D, Ge, L, Ge, W, Geiss-Friedlander, R, Gelfi, C, Genschik, P, Gentle, IE, Gerbino, V, Gerhardt, C, Germain, K, Germain, M, Gewirtz, DA, Ghasemipour Afshar, E, Ghavami, S, Ghigo, A, Ghosh, M, Giamas, G, Giampietri, C, Giatromanolaki, A, Gibson, GE, Gibson, SB, Ginet, V, Giniger, E, Giorgi, C, Girao, H, Girardin, SE, Giridharan, M, Giuliano, S, Giulivi, C, Giuriato, S, Giustiniani, J, Gluschko, A, Goder, V, Goginashvili, A, Golab, J, Goldstone, DC, Golebiewska, A, Gomes, LR, Gomez, R, Gómez-Sánchez, R, Gomez-Puerto, MC, Gomez-Sintes, R, Gong, Q, Goni, FM, González-Gallego, J, Gonzalez-Hernandez, T, Gonzalez-Polo, RA, Gonzalez-Reyes, JA, González-Rodríguez, P, Goping, IS, Gorbatyuk, MS, Gorbunov, NV, Görgülü, K, Gorojod, RM, Gorski, SM, Goruppi, S, Gotor, C, Gottlieb, RA, Gozes, I, Gozuacik, D, Graef, M, Gräler, MH, Granatiero, V, Grasso, D, Gray, JP, Green, DR, Greenhough, A, Gregory, SL, Griffin, EF, Grinstaff, MW, Gros, F, Grose, C, Gross, AS, Gruber, F, Grumati, P, Grune, T, Gu, X, Guan, J-L, Guardia, CM, Guda, K, Guerra, F, Guerri, C, Guha, P, Guillén, C, Gujar, S, Gukovskaya, A, Gukovsky, I, Gunst, J, Günther, A, Guntur, AR, Guo, C, Guo, H, Guo, L-W, Guo, M, Gupta, P, Gupta, SK, Gupta, S, Gupta, VB, Gupta, V, Gustafsson, AB, Gutterman, DD, H B, R, Haapasalo, A, Haber, JE, Hać, A, Hadano, S, Hafrén, AJ, Haidar, M, Hall, BS, Halldén, G, Hamacher-Brady, A, Hamann, A, Hamasaki, M, Han, W, Hansen, M, Hanson, PI, Hao, Z, Harada, M, Harhaji-Trajkovic, L, Hariharan, N, Haroon, N, Harris, J, Hasegawa, T, Hasima Nagoor, N, Haspel, JA, Haucke, V, Hawkins, WD, Hay, BA, Haynes, CM, Hayrabedyan, SB, Hays, TS, He, C, He, Q, He, R-R, He, Y-W, He, Y-Y, Heakal, Y, Heberle, AM, Hejtmancik, JF, Helgason, GV, Henkel, V, Herb, M, Hergovich, A, Herman-Antosiewicz, A, Hernández, A, Hernandez, C, Hernandez-Diaz, S, Hernandez-Gea, V, Herpin, A, Herreros, J, Hervás, JH, Hesselson, D, Hetz, C, Heussler, VT, Higuchi, Y, Hilfiker, S, Hill, JA, Hlavacek, WS, Ho, EA, Ho, IHT, Ho, PW-L, Ho, S-L, Ho, WY, Hobbs, GA, Hochstrasser, M, Hoet, PHM, Hofius, D, Hofman, P, Höhn, A, Holmberg, CI, Hombrebueno, JR, Yi-Ren Hong, C-WH, Hooper, LV, Hoppe, T, Horos, R, Hoshida, Y, Hsin, I-L, Hsu, H-Y, Hu, B, Hu, D, Hu, L-F, Hu, MC, Hu, R, Hu, W, Hu, Y-C, Hu, Z-W, Hua, F, Hua, J, Hua, Y, Huan, C, Huang, C, Huang, H, Huang, K, Huang, MLH, Huang, R, Huang, S, Huang, T, Huang, X, Huang, YJ, Huber, TB, Hubert, V, Hubner, CA, Hughes, SM, Hughes, WE, Humbert, M, Hummer, G, Hurley, JH, Hussain, S, Hussey, PJ, Hutabarat, M, Hwang, H-Y, Hwang, S, Ieni, A, Ikeda, F, Imagawa, Y, Imai, Y, Imbriano, C, Imoto, M, Inman, DM, Inoki, K, Iovanna, J, Iozzo, RV, Ippolito, G, Irazoqui, JE, Iribarren, P, Ishaq, M, Ishikawa, M, Ishimwe, N, Isidoro, C, Ismail, N, Issazadeh-Navikas, S, Itakura, E, Ito, D, Ivankovic, D, Ivanova, S, Iyer, AKV, Izquierdo, JM, Izumi, M, Jäättelä, M, Jabir, MS, Jackson, WT, Jacobo-Herrera, N, Jacomin, A-C, Jacquin, E, Jadiya, P, Jaeschke, H, Jagannath, C, Jakobi, AJ, Jakobsson, J, Janji, B, Jansen-Dürr, P, Jansson, PJ, Jantsch, J, Januszewski, S, Jassey, A, Jean, S, Jeltsch-David, H, Jendelova, P, Jenny, A, Jensen, TE, Jessen, N, Jewell, JL, Ji, J, Jia, L, Jia, R, Jiang, L, Jiang, Q, Jiang, R, Jiang, T, Jiang, X, Jiang, Y, Jimenez-Sanchez, M, Jin, E-J, Jin, F, Jin, H, Jin, L, Jin, M, Jin, S, Jo, E-K, Joffre, C, Johansen, T, Johnson, GVW, Johnston, SA, Jokitalo, E, Jolly, MK, Joosten, LAB, Jordan, J, Joseph, B, Ju, D, Ju, J-S, Ju, J, Juárez, E, Judith, D, Juhász, G, Jun, Y, Jung, CH, Jung, S-C, Jung, YK, Jungbluth, H, Jungverdorben, J, Just, S, Kaarniranta, K, Kaasik, A, Kabuta, T, Kaganovich, D, Kahana, A, Kain, R, Kajimura, S, Kalamvoki, M, Kalia, M, Kalinowski, DS, Kaludercic, N, Kalvari, I, Kaminska, J, Kaminskyy, VO, Kanamori, H, Kanasaki, K, Kang, C, Kang, R, Kang, SS, Kaniyappan, S, Kanki, T, Kanneganti, T-D, Kanthasamy, AG, Kanthasamy, A, Kantorow, M, Kapuy, O, Karamouzis, MV, Karim, MR, Karmakar, P, Katare, RG, Kato, M, Kaufmann, SHE, Kauppinen, A, Kaushal, GP, Kaushik, S, Kawasaki, K, Kazan, K, Ke, P-Y, Keating, DJ, Keber, U, Kehrl, JH, Keller, KE, Keller, CW, Kemper, JK, Kenific, CM, Kepp, O, Kermorgant, S, Kern, A, Ketteler, R, Keulers, TG, Khalfin, B, Khalil, H, Khambu, B, Khan, SY, Khandelwal, VKM, Khandia, R, Kho, W, Khobrekar, NV, Khuansuwan, S, Khundadze, M, Killackey, SA, Kim, D, Kim, DR, Kim, D-H, Kim, D-E, Kim, EY, Kim, E-K, Kim, H-R, Kim, H-S, Hyung-Ryong Kim, Kim, JH, Kim, JK, Kim, J-H, Kim, J, Kim, KI, Kim, PK, Kim, S-J, Kimball, SR, Kimchi, A, Kimmelman, AC, Kimura, T, King, MA, Kinghorn, KJ, Kinsey, CG, Kirkin, V, Kirshenbaum, LA, Kiselev, SL, Kishi, S, Kitamoto, K, Kitaoka, Y, Kitazato, K, Kitsis, RN, Kittler, JT, Kjaerulff, O, Klein, PS, Klopstock, T, Klucken, J, Knævelsrud, H, Knorr, RL, Ko, BCB, Ko, F, Ko, J-L, Kobayashi, H, Kobayashi, S, Koch, I, Koch, JC, Koenig, U, Kögel, D, Koh, YH, Koike, M, Kohlwein, SD, Kocaturk, NM, Komatsu, M, König, J, Kono, T, Kopp, BT, Korcsmaros, T, Korkmaz, G, Korolchuk, VI, Korsnes, MS, Koskela, A, Kota, J, Kotake, Y, Kotler, ML, Kou, Y, Koukourakis, MI, Koustas, E, Kovacs, AL, Kovács, T, Koya, D, Kozako, T, Kraft, C, Krainc, D, Krämer, H, Krasnodembskaya, AD, Kretz-Remy, C, Kroemer, G, Ktistakis, NT, Kuchitsu, K, Kuenen, S, Kuerschner, L, Kukar, T, Kumar, A, Kumar, D, Kumar, S, Kume, S, Kumsta, C, Kundu, CN, Kundu, M, Kunnumakkara, AB, Kurgan, L, Kutateladze, TG, Kutlu, O, Kwak, S, Kwon, HJ, Kwon, TK, Kwon, YT, Kyrmizi, I, La Spada, A, Labonté, P, Ladoire, S, Laface, I, Lafont, F, Lagace, DC, Lahiri, V, Lai, Z, Laird, AS, Lakkaraju, A, Lamark, T, Lan, S-H, Landajuela, A, Lane, DJR, Lane, JD, Lang, CH, Lange, C, Langel, Ü, Langer, R, Lapaquette, P, Laporte, J, LaRusso, NF, Lastres-Becker, I, Lau, WCY, Laurie, GW, Lavandero, S, Law, BYK, Law, HK-W, Layfield, R, Le, W, Le Stunff, H, Leary, AY, Lebrun, J-J, Leck, LYW, Leduc-Gaudet, J-P, Lee, C, Lee, C-P, Lee, D-H, Lee, EB, Lee, EF, Lee, GM, Lee, H-J, Lee, HK, Lee, JM, Lee, JS, Lee, J-A, Lee, J-Y, Lee, JH, Lee, M, Lee, MG, Lee, MJ, Lee, M-S, Lee, SY, Lee, S-J, Lee, SB, Lee, WH, Lee, Y-R, Lee, Y-H, Lee, Y, Lefebvre, C, Legouis, R, Lei, YL, Lei, Y, Leikin, S, Leitinger, G, Lemus, L, Leng, S, Lenoir, O, Lenz, G, Lenz, HJ, Lenzi, P, León, Y, Leopoldino, AM, Leschczyk, C, Leskelä, S, Letellier, E, Leung, C-T, Leung, PS, Leventhal, JS, Levine, B, Lewis, PA, Ley, K, Li, B, Li, D-Q, Li, J, Li, K, Li, L, Li, M, Li, P-L, Li, M-Q, Li, Q, Li, S, Li, T, Li, W, Li, X, Li, Y-P, Li, Y, Li, Z, Lian, J, Liang, C, Liang, Q, Liang, W, Liang, Y, Liao, G, Liao, L, Liao, M, Liao, Y-F, Librizzi, M, Lie, PPY, Lilly, MA, Lim, HJ, Lima, TRR, Limana, F, Lin, C, Lin, C-W, Lin, D-S, Lin, F-C, Lin, JD, Lin, KM, Lin, K-H, Lin, L-T, Lin, P-H, Lin, Q, Lin, S, Lin, S-J, Lin, W, Lin, X, Lin, Y-X, Lin, Y-S, Linden, R, Lindner, P, Ling, S-C, Lingor, P, Linnemann, AK, Liou, Y-C, Lipinski, MM, Lipovšek, S, Lira, VA, Lisiak, N, Liton, PB, Liu, C, Liu, C-H, Liu, C-F, Liu, CH, Liu, F, Liu, H, Liu, H-S, Liu, H-F, Liu, J, Liu, L, Liu, M, Liu, Q, Liu, W, Liu, X-H, Liu, X, Liu, Y, Livingston, JA, Lizard, G, Lizcano, JM, Ljubojevic-Holzer, S, LLeonart, ME, Llobet-Navàs, D, Llorente, A, Lo, CH, Lobato-Márquez, D, Long, Q, Long, YC, Loos, B, Loos, JA, López, MG, López-Doménech, G, López-Guerrero, JA, López-Jiménez, AT, López-Pérez, Ó, López-Valero, I, Lorenowicz, MJ, Lorente, M, Lorincz, P, Lossi, L, Lotersztajn, S, Lovat, PE, Lovell, JF, Lovy, A, Lőw, P, Lu, G, Lu, H, Lu, J-H, Lu, J-J, Lu, M, Lu, S, Luciani, A, Lucocq, JM, Ludovico, P, Luftig, MA, Luhr, M, Luis-Ravelo, D, Lum, JJ, Luna-Dulcey, L, Lund, AH, Lund, VK, Lünemann, JD, Lüningschrör, P, Luo, H, Luo, R, Luo, S, Luo, Z, Luparello, C, Lüscher, B, Luu, L, Lyakhovich, A, Lyamzaev, KG, Lystad, AH, Lytvynchuk, L, Ma, AC, Ma, C, Ma, M, Ma, N-F, Ma, Q-H, Ma, X, Ma, Y, Ma, Z, MacDougald, OA, Macian, F, MacIntosh, GC, MacKeigan, JP, Macleod, KF, Maday, S, Madeo, F, Madesh, M, Madl, T, Madrigal-Matute, J, Maeda, A, Maejima, Y, Magarinos, M, Mahavadi, P, Maiani, E, Maiese, K, Maiti, P, Maiuri, MC, Majello, B, Major, MB, Makareeva, E, Malik, F, Mallilankaraman, K, Malorni, W, Maloyan, A, Mammadova, N, Man, GCW, Manai, F, Mancias, JD, Mandelkow, E-M, Mandell, MA, Manfredi, AA, Manjili, MH, Manjithaya, R, Manque, P, Manshian, BB, Manzano, R, Manzoni, C, Mao, K, Marchese, C, Marchetti, S, Marconi, AM, Marcucci, F, Mardente, S, Mareninova, OA, Margeta, M, Mari, M, Marinelli, S, Marinelli, O, Mariño, G, Mariotto, S, Marshall, RS, Marten, MR, Martens, S, Martin, APJ, Martin, KR, Martin, S, Martín-Segura, A, Martín-Acebes, MA, Martin-Burriel, I, Martin-Rincon, M, Martin-Sanz, P, Martina, JA, Martinet, W, Martinez, A, Martinez, J, Martinez Velazquez, M, Martinez-Lopez, N, Martinez-Vicente, M, Martins, DO, Martins, JO, Martins, WK, Martins-Marques, T, Marzetti, E, Masaldan, S, Masclaux-Daubresse, C, Mashek, DG, Massa, V, Massieu, L, Masson, GR, Masuelli, L, Masyuk, AI, Masyuk, TV, Matarrese, P, Matheu, A, Matoba, S, Matsuzaki, S, Mattar, P, Matte, A, Mattoscio, D, Mauriz, JL, Mauthe, M, Mauvezin, C, Maverakis, E, Maycotte, P, Mayer, J, Mazzoccoli, G, Mazzoni, C, Mazzulli, JR, McCarty, N, McDonald, C, McGill, MR, McKenna, SL, McLaughlin, B, McLoughlin, F, McNiven, MA, McWilliams, TG, Mechta-Grigoriou, F, Medeiros, TC, Medina, DL, Megeney, LA, Megyeri, K, Mehrpour, M, Mehta, JL, Meijer, AJ, Meijer, AH, Mejlvang, J, Meléndez, A, Melk, A, Memisoglu, G, Mendes, AF, Meng, D, Meng, F, Meng, T, Menna-Barreto, R, Menon, MB, Mercer, C, Mercier, AE, Mergny, J-L, Merighi, A, Merkley, SD, Merla, G, Meske, V, Mestre, AC, Metur, SP, Meyer, C, Meyer, H, Mi, W, Mialet-Perez, J, Miao, J, Micale, L, Miki, Y, Milan, E, Milczarek, M, Miller, DL, Miller, SI, Miller, S, Millward, SW, Milosevic, I, Minina, EA, Mirzaei, H, Mirzaei, HR, Mirzaei, M, Mishra, A, Mishra, N, Mishra, PK, Misirkic Marjanovic, M, Misasi, R, Misra, A, Misso, G, Mitchell, C, Mitou, G, Miura, T, Miyamoto, S, Miyazaki, M, Miyazaki, T, Miyazawa, K, Mizushima, N, Mogensen, TH, Mograbi, B, Mohammadinejad, R, Mohamud, Y, Mohanty, A, Mohapatra, S, Möhlmann, T, Mohmmed, A, Moles, A, Moley, KH, Molinari, M, Mollace, V, Møller, AB, Mollereau, B, Mollinedo, F, Montagna, C, Monteiro, MJ, Montella, A, Montes, LR, Montico, B, Mony, VK, Monzio Compagnoni, G, Moore, MN, Moosavi, MA, Mora, AL, Mora, M, Morales-Alamo, D, Moratalla, R, Moreira, PI, Morelli, E, Moreno, S, Moreno-Blas, D, Moresi, V, Morga, B, Morgan, AH, Morin, F, Morishita, H, Moritz, OL, Moriyama, M, Moriyasu, Y, Morleo, M, Morselli, E, Moruno-Manchon, JF, Moscat, J, Mostowy, S, Motori, E, Moura, AF, Moustaid-Moussa, N, Mrakovcic, M, Muciño-Hernández, G, Mukherjee, A, Mukhopadhyay, S, Mulcahy Levy, JM, Mulero, V, Muller, S, Münch, C, Munjal, A, Munoz-Canoves, P, Muñoz-Galdeano, T, Münz, C, Murakawa, T, Muratori, C, Murphy, BM, Murphy, JP, Murthy, A, Myöhänen, TT, Mysorekar, IU, Mytych, J, Nabavi, SM, Nabissi, M, Nagy, P, Nah, J, Nahimana, A, Nakagawa, I, Nakamura, K, Nakatogawa, H, Nandi, SS, Nanjundan, M, Nanni, M, Napolitano, G, Nardacci, R, Narita, M, Nassif, M, Nathan, I, Natsumeda, M, Naude, RJ, Naumann, C, Naveiras, O, Navid, F, Nawrocki, ST, Nazarko, TY, Nazio, F, Negoita, F, Neill, T, Neisch, AL, Neri, LM, Netea, MG, Neubert, P, Neufeld, TP, Neumann, D, Neutzner, A, Newton, PT, Ney, PA, Nezis, IP, Ng, CCW, Ng, TB, Nguyen, HTT, Nguyen, LT, Ni, H-M, Ní Cheallaigh, C, Ni, Z, Nicolao, MC, Nicoli, F, Nieto-Diaz, M, Nilsson, P, Ning, S, Niranjan, R, Nishimune, H, Niso-Santano, M, Nixon, RA, Nobili, A, Nobrega, C, Noda, T, Nogueira-Recalde, U, Nolan, TM, Nombela, I, Novak, I, Novoa, B, Nozawa, T, Nukina, N, Nussbaum-Krammer, C, Nylandsted, J, O'Donovan, TR, O'Leary, SM, O'Rourke, EJ, O'Sullivan, MP, O'Sullivan, TE, Oddo, S, Oehme, I, Ogawa, M, Ogier-Denis, E, Ogmundsdottir, MH, Ogretmen, B, Oh, GT, Oh, S-H, Oh, YJ, Ohama, T, Ohashi, Y, Ohmuraya, M, Oikonomou, V, Ojha, R, Okamoto, K, Okazawa, H, Oku, M, Oliván, S, Oliveira, JMA, Ollmann, M, Olzmann, JA, Omari, S, Omary, MB, Önal, G, Ondrej, M, Ong, S-B, Ong, S-G, Onnis, A, Orellana, JA, Orellana-Muñoz, S, Ortega-Villaizan, MDM, Ortiz-Gonzalez, XR, Ortona, E, Osiewacz, HD, Osman, A-HK, Osta, R, Otegui, MS, Otsu, K, Ott, C, Ottobrini, L, Ou, J-HJ, Outeiro, TF, Oynebraten, I, Ozturk, M, Pagès, G, Pahari, S, Pajares, M, Pajvani, UB, Pal, R, Paladino, S, Pallet, N, Palmieri, M, Palmisano, G, Palumbo, C, Pampaloni, F, Pan, L, Pan, Q, Pan, W, Pan, X, Panasyuk, G, Pandey, R, Pandey, UB, Pandya, V, Paneni, F, Pang, SY, Panzarini, E, Papademetrio, DL, Papaleo, E, Papinski, D, Papp, D, Park, EC, Park, HT, Park, J-M, Park, J-I, Park, JT, Park, J, Park, SC, Park, S-Y, Parola, AH, Parys, JB, Pasquier, A, Pasquier, B, Passos, JF, Pastore, N, Patel, HH, Patschan, D, Pattingre, S, Pedraza-Alva, G, Pedraza-Chaverri, J, Pedrozo, Z, Pei, G, Pei, J, Peled-Zehavi, H, Pellegrini, JM, Pelletier, J, Peñalva, MA, Peng, D, Peng, Y, Penna, F, Pennuto, M, Pentimalli, F, Pereira, CM, Pereira, GJS, Pereira, LC, Pereira de Almeida, L, Perera, ND, Pérez-Lara, Á, Perez-Oliva, AB, Pérez-Pérez, ME, Periyasamy, P, Perl, A, Perrotta, C, Perrotta, I, Pestell, RG, Petersen, M, Petrache, I, Petrovski, G, Pfirrmann, T, Pfister, AS, Philips, JA, Pi, H, Picca, A, Pickrell, AM, Picot, S, Pierantoni, GM, Pierdominici, M, Pierre, P, Pierrefite-Carle, V, Pierzynowska, K, Pietrocola, F, Pietruczuk, M, Pignata, C, Pimentel-Muiños, FX, Pinar, M, Pinheiro, RO, Pinkas-Kramarski, R, Pinton, P, Pircs, K, Piya, S, Pizzo, P, Plantinga, TS, Platta, HW, Plaza-Zabala, A, Plomann, M, Plotnikov, EY, Plun-Favreau, H, Pluta, R, Pocock, R, Pöggeler, S, Pohl, C, Poirot, M, Poletti, A, Ponpuak, M, Popelka, H, Popova, B, Porta, H, Porte Alcon, S, Portilla-Fernandez, E, Post, M, Potts, MB, Poulton, J, Powers, T, Prahlad, V, Prajsnar, TK, Praticò, D, Prencipe, R, Priault, M, Proikas-Cezanne, T, Promponas, VJ, Proud, CG, Puertollano, R, Puglielli, L, Pulinilkunnil, T, Puri, D, Puri, R, Puyal, J, Qi, X, Qi, Y, Qian, W, Qiang, L, Qiu, Y, Quadrilatero, J, Quarleri, J, Raben, N, Rabinowich, H, Ragona, D, Ragusa, MJ, Rahimi, N, Rahmati, M, Raia, V, Raimundo, N, Rajasekaran, N-S, Ramachandra Rao, S, Rami, A, Ramírez-Pardo, I, Ramsden, DB, Randow, F, Rangarajan, PN, Ranieri, D, Rao, H, Rao, L, Rao, R, Rathore, S, Ratnayaka, JA, Ratovitski, EA, Ravanan, P, Ravegnini, G, Ray, SK, Razani, B, Rebecca, V, Reggiori, F, Régnier-Vigouroux, A, Reichert, AS, Reigada, D, Reiling, JH, Rein, T, Reipert, S, Rekha, RS, Ren, H, Ren, J, Ren, W, Renault, T, Renga, G, Reue, K, Rewitz, K, Ribeiro de Andrade Ramos, B, Riazuddin, SA, Ribeiro-Rodrigues, TM, Ricci, J-E, Ricci, R, Riccio, V, Richardson, DR, Rikihisa, Y, Risbud, MV, Risueño, RM, Ritis, K, Rizza, S, Rizzuto, R, Roberts, HC, Roberts, LD, Robinson, KJ, Roccheri, MC, Rocchi, S, Rodney, GG, Rodrigues, T, Rodrigues Silva, VR, Rodriguez, A, Rodriguez-Barrueco, R, Rodriguez-Henche, N, Rodriguez-Rocha, H, Roelofs, J, Rogers, RS, Rogov, VV, Rojo, AI, Rolka, K, Romanello, V, Romani, L, Romano, A, Romano, PS, Romeo-Guitart, D, Romero, LC, Romero, M, Roney, JC, Rongo, C, Roperto, S, Rosenfeldt, MT, Rosenstiel, P, Rosenwald, AG, Roth, KA, Roth, L, Roth, S, Rouschop, KMA, Roussel, BD, Roux, S, Rovere-Querini, P, Roy, A, Rozieres, A, Ruano, D, Rubinsztein, DC, Rubtsova, MP, Ruckdeschel, K, Ruckenstuhl, C, Rudolf, E, Rudolf, R, Ruggieri, A, Ruparelia, AA, Rusmini, P, Russell, RR, Russo, GL, Russo, M, Russo, R, Ryabaya, OO, Ryan, KM, Ryu, K-Y, Sabater-Arcis, M, Sachdev, U, Sacher, M, Sachse, C, Sadhu, A, Sadoshima, J, Safren, N, Saftig, P, Sagona, AP, Sahay, G, Sahebkar, A, Sahin, M, Sahin, O, Sahni, S, Saito, N, Saito, S, Saito, T, Sakai, R, Sakai, Y, Sakamaki, J-I, Saksela, K, Salazar, G, Salazar-Degracia, A, Salekdeh, GH, Saluja, AK, Sampaio-Marques, B, Sanchez, MC, Sanchez-Alcazar, JA, Sanchez-Vera, V, Sancho-Shimizu, V, Sanderson, JT, Sandri, M, Santaguida, S, Santambrogio, L, Santana, MM, Santoni, G, Sanz, A, Sanz, P, Saran, S, Sardiello, M, Sargeant, TJ, Sarin, A, Sarkar, C, Sarkar, S, Sarrias, M-R, Sarmah, DT, Sarparanta, J, Sathyanarayan, A, Sathyanarayanan, R, Scaglione, KM, Scatozza, F, Schaefer, L, Schafer, ZT, Schaible, UE, Schapira, AHV, Scharl, M, Schatzl, HM, Schein, CH, Scheper, W, Scheuring, D, Schiaffino, MV, Schiappacassi, M, Schindl, R, Schlattner, U, Schmidt, O, Schmitt, R, Schmidt, SD, Schmitz, I, Schmukler, E, Schneider, A, Schneider, BE, Schober, R, Schoijet, AC, Schott, MB, Schramm, M, Schröder, B, Schuh, K, Schüller, C, Schulze, RJ, Schürmanns, L, Schwamborn, JC, Schwarten, M, Scialo, F, Sciarretta, S, Scott, MJ, Scotto, KW, Scovassi, AI, Scrima, A, Scrivo, A, Sebastian, D, Sebti, S, Sedej, S, Segatori, L, Segev, N, Seglen, PO, Seiliez, I, Seki, E, Selleck, SB, Sellke, FW, Selsby, JT, Sendtner, M, Senturk, S, Seranova, E, Sergi, C, Serra-Moreno, R, Sesaki, H, Settembre, C, Setty, SRG, Sgarbi, G, Sha, O, Shacka, JJ, Shah, JA, Shang, D, Shao, C, Shao, F, Sharbati, S, Sharkey, LM, Sharma, D, Sharma, G, Sharma, K, Sharma, P, Sharma, S, Shen, H-M, Shen, H, Shen, J, Shen, M, Shen, W, Shen, Z, Sheng, R, Sheng, Z, Sheng, Z-H, Shi, J, Shi, X, Shi, Y-H, Shiba-Fukushima, K, Shieh, J-J, Shimada, Y, Shimizu, S, Shimozawa, M, Shintani, T, Shoemaker, CJ, Shojaei, S, Shoji, I, Shravage, BV, Shridhar, V, Shu, C-W, Shu, H-B, Shui, K, Shukla, AK, Shutt, TE, Sica, V, Siddiqui, A, Sierra, A, Sierra-Torre, V, Signorelli, S, Sil, P, Silva, BJDA, Silva, JD, Silva-Pavez, E, Silvente-Poirot, S, Simmonds, RE, Simon, AK, Simon, H-U, Simons, M, Singh, A, Singh, LP, Singh, R, Singh, SV, Singh, SK, Singh, SB, Singh, S, Singh, SP, Sinha, D, Sinha, RA, Sinha, S, Sirko, A, Sirohi, K, Sivridis, EL, Skendros, P, Skirycz, A, Slaninová, I, Smaili, SS, Smertenko, A, Smith, MD, Soenen, SJ, Sohn, EJ, Sok, SPM, Solaini, G, Soldati, T, Soleimanpour, SA, Soler, RM, Solovchenko, A, Somarelli, JA, Sonawane, A, Song, F, Song, HK, Song, J-X, Song, K, Song, Z, Soria, LR, Sorice, M, Soukas, AA, Soukup, S-F, Sousa, D, Sousa, N, Spagnuolo, PA, Spector, SA, Srinivas Bharath, MM, St Clair, D, Stagni, V, Staiano, L, Stalnecker, CA, Stankov, MV, Stathopulos, PB, Stefan, K, Stefan, SM, Stefanis, L, Steffan, JS, Steinkasserer, A, Stenmark, H, Sterneckert, J, Stevens, C, Stoka, V, Storch, S, Stork, B, Strappazzon, F, Strohecker, AM, Stupack, DG, Su, H, Su, L-Y, Su, L, Suarez-Fontes, AM, Subauste, CS, Subbian, S, Subirada, PV, Sudhandiran, G, Sue, CM, Sui, X, Summers, C, Sun, G, Sun, J, Sun, K, Sun, M-X, Sun, Q, Sun, Y, Sun, Z, Sunahara, KKS, Sundberg, E, Susztak, K, Sutovsky, P, Suzuki, H, Sweeney, G, Symons, JD, Sze, SCW, Szewczyk, NJ, Tabęcka-Łonczynska, A, Tabolacci, C, Tacke, F, Taegtmeyer, H, Tafani, M, Tagaya, M, Tai, H, Tait, SWG, Takahashi, Y, Takats, S, Talwar, P, Tam, C, Tam, SY, Tampellini, D, Tamura, A, Tan, CT, Tan, E-K, Tan, Y-Q, Tanaka, M, Tang, D, Tang, J, Tang, T-S, Tanida, I, Tao, Z, Taouis, M, Tatenhorst, L, Tavernarakis, N, Taylor, A, Taylor, GA, Taylor, JM, Tchetina, E, Tee, AR, Tegeder, I, Teis, D, Teixeira, N, Teixeira-Clerc, F, Tekirdag, KA, Tencomnao, T, Tenreiro, S, Tepikin, AV, Testillano, PS, Tettamanti, G, Tharaux, P-L, Thedieck, K, Thekkinghat, AA, Thellung, S, Thinwa, JW, Thirumalaikumar, VP, Thomas, SM, Thomes, PG, Thorburn, A, Thukral, L, Thum, T, Thumm, M, Tian, L, Tichy, A, Till, A, Timmerman, V, Titorenko, VI, Todi, SV, Todorova, K, Toivonen, JM, Tomaipitinca, L, Tomar, D, Tomas-Zapico, C, Tomić, S, Tong, BC-K, Tong, C, Tong, X, Tooze, SA, Torgersen, ML, Torii, S, Torres-López, L, Torriglia, A, Towers, CG, Towns, R, Toyokuni, S, Trajkovic, V, Tramontano, D, Tran, Q-G, Travassos, LH, Trelford, CB, Tremel, S, Trougakos, IP, Tsao, BP, Tschan, MP, Tse, H-F, Tse, TF, Tsugawa, H, Tsvetkov, AS, Tumbarello, DA, Tumtas, Y, Tuñón, MJ, Turcotte, S, Turk, B, Turk, V, Turner, BJ, Tuxworth, RI, Tyler, JK, Tyutereva, EV, Uchiyama, Y, Ugun-Klusek, A, Uhlig, HH, Ułamek-Kozioł, M, Ulasov, IV, Umekawa, M, Ungermann, C, Unno, R, Urbe, S, Uribe-Carretero, E, Üstün, S, Uversky, VN, Vaccari, T, Vaccaro, MI, Vahsen, BF, Vakifahmetoglu-Norberg, H, Valdor, R, Valente, MJ, Valko, A, Vallee, RB, Valverde, AM, Van den Berghe, G, van der Veen, S, Van Kaer, L, van Loosdregt, J, van Wijk, SJL, Vandenberghe, W, Vanhorebeek, I, Vannier-Santos, MA, Vannini, N, Vanrell, MC, Vantaggiato, C, Varano, G, Varela-Nieto, I, Varga, M, Vasconcelos, MH, Vats, S, Vavvas, DG, Vega-Naredo, I, Vega-Rubin-de-Celis, S, Velasco, G, Velázquez, AP, Vellai, T, Vellenga, E, Velotti, F, Verdier, M, Verginis, P, Vergne, I, Verkade, P, Verma, M, Verstreken, P, Vervliet, T, Vervoorts, J, Vessoni, AT, Victor, VM, Vidal, M, Vidoni, C, Vieira, OV, Vierstra, RD, Viganó, S, Vihinen, H, Vijayan, V, Vila, M, Vilar, M, Villalba, JM, Villalobo, A, Villarejo-Zori, B, Villarroya, F, Villarroya, J, Vincent, O, Vindis, C, Viret, C, Viscomi, MT, Visnjic, D, Vitale, I, Vocadlo, DJ, Voitsekhovskaja, OV, Volonté, C, Volta, M, Vomero, M, Von Haefen, C, Vooijs, MA, Voos, W, Vucicevic, L, Wade-Martins, R, Waguri, S, Waite, KA, Wakatsuki, S, Walker, DW, Walker, MJ, Walker, SA, Walter, J, Wandosell, FG, Wang, B, Wang, C-Y, Wang, C, Wang, D, Wang, F, Wang, G, Wang, H, Wang, H-G, Wang, J, Wang, K, Wang, L, Wang, MH, Wang, M, Wang, N, Wang, P, Wang, QJ, Wang, Q, Wang, QK, Wang, QA, Wang, W-T, Wang, W, Wang, X, Wang, Y, Wang, Y-Y, Wang, Z, Warnes, G, Warnsmann, V, Watada, H, Watanabe, E, Watchon, M, Wawrzyńska, A, Weaver, TE, Wegrzyn, G, Wehman, AM, Wei, H, Wei, L, Wei, T, Wei, Y, Weiergräber, OH, Weihl, CC, Weindl, G, Weiskirchen, R, Wells, A, Wen, RH, Wen, X, Werner, A, Weykopf, B, Wheatley, SP, Whitton, JL, Whitworth, AJ, Wiktorska, K, Wildenberg, ME, Wileman, T, Wilkinson, S, Willbold, D, Williams, B, Williams, RSB, Williams, RL, Williamson, PR, Wilson, RA, Winner, B, Winsor, NJ, Witkin, SS, Wodrich, H, Woehlbier, U, Wollert, T, Wong, E, Wong, JH, Wong, RW, Wong, VKW, Wong, WW-L, Wu, A-G, Wu, C, Wu, J, Wu, KK, Wu, M, Wu, S-Y, Wu, S, Wu, WKK, Wu, X, Wu, Y-W, Wu, Y, Xavier, RJ, Xia, H, Xia, L, Xia, Z, Xiang, G, Xiang, J, Xiang, M, Xiang, W, Xiao, B, Xiao, G, Xiao, H, Xiao, H-T, Xiao, J, Xiao, L, Xiao, S, Xiao, Y, Xie, B, Xie, C-M, Xie, M, Xie, Y, Xie, Z, Xilouri, M, Xu, C, Xu, E, Xu, H, Xu, J, Xu, L, Xu, WW, Xu, X, Xue, Y, Yakhine-Diop, SMS, Yamaguchi, M, Yamaguchi, O, Yamamoto, A, Yamashina, S, Yan, S, Yan, S-J, Yan, Z, Yanagi, Y, Yang, C, Yang, D-S, Yang, H, Yang, H-T, Yang, J-M, Yang, J, Yang, L, Yang, M, Yang, P-M, Yang, Q, Yang, S, Yang, S-F, Yang, W, Yang, WY, Yang, X, Yang, Y, Yao, H, Yao, S, Yao, X, Yao, Y-G, Yao, Y-M, Yasui, T, Yazdankhah, M, Yen, PM, Yi, C, Yin, X-M, Yin, Y, Yin, Z, Ying, M, Ying, Z, Yip, CK, Yiu, SPT, Yoo, YH, Yoshida, K, Yoshii, SR, Yoshimori, T, Yousefi, B, Yu, B, Yu, H, Yu, J, Yu, L, Yu, M-L, Yu, S-W, Yu, VC, Yu, WH, Yu, Z, Yuan, J, Yuan, L-Q, Yuan, S, Yuan, S-SF, Yuan, Y, Yuan, Z, Yue, J, Yue, Z, Yun, J, Yung, RL, Zacks, DN, Zaffagnini, G, Zambelli, VO, Zanella, I, Zang, QS, Zanivan, S, Zappavigna, S, Zaragoza, P, Zarbalis, KS, Zarebkohan, A, Zarrouk, A, Zeitlin, SO, Zeng, J, Zeng, J-D, Žerovnik, E, Zhan, L, Zhang, B, Zhang, DD, Zhang, H, Zhang, H-L, Zhang, J, Zhang, J-P, Zhang, KYB, Zhang, LW, Zhang, L, Zhang, M, Zhang, P, Zhang, S, Zhang, W, Zhang, X, Zhang, X-W, Zhang, XD, Zhang, Y, Zhang, Y-D, Zhang, Y-Y, Zhang, Z, Zhao, H, Zhao, L, Zhao, S, Zhao, T, Zhao, X-F, Zhao, Y, Zheng, G, Zheng, K, Zheng, L, Zheng, S, Zheng, X-L, Zheng, Y, Zheng, Z-G, Zhivotovsky, B, Zhong, Q, Zhou, A, Zhou, B, Zhou, C, Zhou, G, Zhou, H, Zhou, J, Zhou, K, Zhou, R, Zhou, X-J, Zhou, Y, Zhou, Z-Y, Zhou, Z, Zhu, B, Zhu, C, Zhu, G-Q, Zhu, H, Zhu, W-G, Zhu, Y, Zhuang, H, Zhuang, X, Zientara-Rytter, K, Zimmermann, CM, Ziviani, E, Zoladek, T, Zong, W-X, Zorov, DB, Zorzano, A, Zou, W, Zou, Z, Zuryn, S, Zwerschke, W, Brand-Saberi, B, Dong, XC, Kenchappa, CS, Lin, Y, Oshima, S, Rong, Y, Sluimer, JC, Stallings, CL, and Tong, C-K

Abstract

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results