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2. METABOLIC THEORY AND DIVERSITY GRADIENTS: WHERE DO WE GO FROM HERE?

Author

Hawkins, Bradford A., Diniz, J. Alexandre, Filho, Bini, L. Mauricio, Araújo, Miguel B., Field, Richard, Hortal, Joaquín, Kerr, Jeremy T., Rahbek, Carsten, Rodríguez, Miguel A., and Sanders, Nathan J.

Subjects
Metabolic theory of ecology, diversity gradients, species richness, latitudinal gradient
Published
2007

5. Spatial autocorrelation and red herrings in geographical ecology

Author

Diniz, JAF, Bini, L M, and Hawkins, Bradford A.

Subjects
birds, generalized least squares, latitudinal gradients, multiple regression, Palearctic, spatial autocorrelation, species richness
Abstract

Aim Spatial autocorrelation in ecological data can inflate Type I errors in statistical analyses. There has also been a recent claim that spatial autocorrelation generates 'red herrings', such that virtually all past analyses are flawed. We consider the origins of this phenomenon, the implications of spatial autocorrelation for macro-scale patterns of species diversity and set out a clarification of the statistical problems generated by its presence. Location To illustrate the issues involved, we analyse the species richness of the birds of western/central Europe, north Africa and the Middle East. Methods Spatial correlograms for richness and five environmental variables were generated using Moran's I coefficients. Multiple regression, using both ordinary least-squares (OLS) and generalized least squares (GLS) assuming a spatial structure in the residuals, were used to identify the strongest predictors of richness. Autocorrelation analyses of the residuals obtained after stepwise OLS regression were undertaken, and the ranks of variables in the full OLS and GLS models were compared. Results Bird richness is characterized by a quadratic north-south gradient. Spatial correlograms usually had positive autocorrelation up to c. 1600 km. Including the environmental variables successively in the OLS model reduced spatial autocorrelation in the residuals to non-detectable levels, indicating that the variables explained all spatial structure in the data. In principle, if residuals are not autocorrelated then OLS is a special case of GLS. However, our comparison between OLS and GLS models including all environmental variables revealed that GLS de-emphasized predictors with strong autocorrelation and long-distance clinal structures, giving more importance to variables acting at smaller geographical scales. Conclusion Although spatial autocorrelation should always be investigated, it does not necessarily generate bias. Rather, it can be a useful tool to investigate mechanisms operating on richness at different spatial scales. Claims that analyses that do not take into account spatial autocorrelation are flawed are without foundation.

Published
2003

14. Coefficient Shifts in Geographical Ecology: An Empirical Evaluation of Spatial and Non-Spatial Regression

Author

Bini, L. Mauricio, Diniz-Filho, J. Alexandre F., Rangel, Thiago F. L. V. B., Akre, Thomas S. B., Albaladejo, Rafael G., Albuquerque, Fabio S., Aparicio, Abelardo, Araújo, Miguel B., Baselga, Andrés, Beck, Jan, Bellocq, M. Isabel, Böhning-Gaese, Katrin, Borges, Paulo A. V., Castro-Parga, Isabel, Chey, Vun Khen, Chown, Steven L., de Marco, Paulo, Dobkin, David S., Ferrer-Castán, Dolores, Field, Richard, Filloy, Julieta, Fleishman, Erica, Gómez, Jose F., Hortal, Joaquín, Iverson, John B., Kerr, Jeremy T., Kissling, W. Daniel, Kitching, Ian J., León-Cortés, Jorge L., Lobo, Jorge M., Montoya, Daniel, Morales-Castilla, Ignacio, Moreno, Juan C., Oberdorff, Thierry, Olalla-Tárraga, Miguel Á., Pausas, Juli G., Qian, Hong, Rahbek, Carsten, Rodríguez, Miguel Á., Rueda, Marta, Ruggiero, Adriana, Sackmann, Paula, Sanders, Nathan J., Terribile, Levi Carina, Vetaas, Ole R., and Hawkins, Bradford A.

Published
2009
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20. Proteomic characterization of idiopathic pulmonary fibrosis patients: Stable versus acute exacerbation

Author

Carleo, A., Landi, C., Prasse, A., Bergantini, L., d'Alessandro, M., Cameli, P., Janciauskiene, S., Rottoli, P., Bini, L., and Publica

Abstract

Acute exacerbations (AEs) are among the main causes of death in idiopathic pulmonary fibrosis (IPF) patients. In this study proteomic comparative analysis of bronchoalveolar lavage (BAL) fluid samples was performed in stable IPF patients versus AEs IPF group to identify AE pathogenetic mechanisms and novel potential predictive biomarkers. A functional proteomic analysis of BAL fluid samples from stable and AE-IPF patients was conducted in a population of 27 IPF patients. Fifty-one differentially abundant spots were observed and identified by mass spectrometry. Enrichment analysis found proteins of interest involved in the regulation of macrophages and lipid metabolism receptors. In acute exacerbation IPF group, differentially abundant proteins were involved in propagation of the v-catenin WNT transduction signal, and proteins up-regulated in lung carcinogenesis (IGKC, S100A9, PEDF, IGHG1, ALDOA, A1AT, HPT, CO3 and PIGR) and acute phase proteins involved in protease-antiprotease imbalance (such as A1AT fragments). Dot-blot analysis of A1AT C-36 peptide allowed validating our findings, confirming up-regulation in AE IPF patients and suggesting its potential pathogenetic role. A crucial role of protease/antiprotease imbalance, clathrin-mediated endocytosis signalling and carcinogenesis emerged in IPF patients developing acute exacerbations.

Published
2020

27. Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression

Author

Mauricio Bini, L., Diniz-Filho, Alexandre J. F., Rangel, Thiago F. L. V. B., Akre, Thomas S. B., Albaladejo, Rafael G., Albuquerque, Fabio S., Aparicio, Abelardo, Araújo, Miguel B., Baselga, Andrés, Beck, Jan, Isabel Bellocq, M., Böhning-Gaese, Katrin, Borges, Paulo A. V., Castro-Parga, Isabel, Khen Chey, Vun, Chown, Steven L., de Marco, Paulo, Jr, Dobkin, David S., Ferrer-Castán, Dolores, Field, Richard, Filloy, Julieta, Fleishman, Erica, Gómez, Jose F., Hortal, Joaquín, Iverson, John B., Kerr, Jeremy T., Daniel Kissling, W., Kitching, Ian J., León-Cortés, Jorge L., Lobo, Jorge M., Montoya, Daniel, Morales-Castilla, Ignacio, Moreno, Juan C., Oberdorff, Thierry, Olalla-Tárraga, Miguel Á., Pausas, Juli G., Qian, Hong, Rahbek, Carsten, Rodríguez, Miguel Á., Rueda, Marta, Ruggiero, Adriana, Sackmann, Paula, Sanders, Nathan J., Carina Terribile, Levi, Vetaas, Ole R., and Hawkins, Bradford A.

Published
2009
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32. Local environment and space drive multiple facets of stream macroinvertebrate beta diversity

Author

Perez Rocha, M. (Mariana), Bini, L. M. (Luis M.), Domisch, S. (Sami), Tolonen, K. T. (Kimmo T.), Jyrkänkallio‐Mikkola, J. (Jenny), Soininen, J. (Janne), Hjort, J. (Jan), and Heino, J. (Jani)

Subjects
traits, species, phylogeny, biodiversity facets, multilevel variables, beta diversity components
Abstract

Aim: Understanding variation in biodiversity typically requires consideration of factors operating at different spatial scales. Recently, ecologists and biogeographers have recognized the need of analysing ecological communities in the light of multiple facets including not only species‐level information but also functional and phylogenetic approaches to improve our understanding of the relative contribution of processes shaping biodiversity. Here, our aim was to disentangle the relative importance of environmental variables measured at multiple levels (i.e., local, catchment, climate, and spatial variables) influencing variation in macroinvertebrate beta diversity facets (i.e., species, traits, and phylogeny) and their components (i.e., replacement and abundance difference) in boreal streams. Taxon: Aquatic macroinvertebrates Location: Western Finland Methods: A total of 105 streams were sampled in western Finland, encompassing a geographical extent over 500 km. We analysed variation in the different beta diversity facets and components using distance‐based redundancy analysis and associated variation partitioning procedures. We modelled spatial structures using distance‐based Moran eigenvector maps. Results: We found that the relative influence of explanatory variables on each diversity facet and component revealed relatively similar patterns. Our main finding was that local environmental and spatial variables generally contributed most to the total explained variability in all facets and components of beta diversity, whereas catchment and climate variables explained less variation in the beta diversity facets at the spatial scale considered in this study. Main conclusions: Different facets of beta diversity were mainly influenced by local environmental variables and spatial structuring, likely acting through deterministic and stochastic pathways respectively. Identifying the ecological variables and mechanisms that drive variation in beta diversity may be used to guide the conservation and restoration efforts for biodiversity under global change.

Published
2018

36. Cellular pathways affected by carbon nanopowder-benzo(α)pyrene complex in human skin fibroblasts identified by proteomics

Author

Binelli, A., primary, Magni, S., additional, La Porta, C., additional, Bini, L., additional, Della Torre, C., additional, Ascagni, M., additional, Maggioni, D., additional, Ghilardi, A., additional, Armini, A., additional, Landi, C., additional, Santo, N., additional, Madaschi, L., additional, Coccè, V., additional, Mutti, F., additional, Lionetti, M.C., additional, Ciusani, E., additional, and Del Giacco, L., additional

Published
2018
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38. Malattia da reflusso gastroesofageo

Author

CORINALDESI, ROBERTO, STANGHELLINI, VINCENZO, SALVIOLI, BEATRICE, BARBARA, GIOVANNI, LIOCE, ANDREA, CREMON, CESARE, CAVALLI, ILARIA, FOGACCI, ELISA, CARINI, GIOVANNI, DE GIORGIO, ROBERTO, BINI L, Corinaldesi R., Stanghellini V., Salvioli B., Barbara G., Lioce A., Cremon C., Cavalli I., Fogacci E., Bini L., Carini G., De Giorgio R., SOC. MEDICA CHIRURGICA BO, CORINALDESI R, STANGHELLINI V, SALVIOLI B, BARBARA G, LIOCE A, CREMON C, CAVALLI I, FOGACCI E, BINI L, CARINI G, and DE GIORGIO R

Published
2005

39. Carbon nanopowder acts as a Trojan-horse for benzo(α)pyrene inDanio rerioembryos

Author

Binelli, A., primary, Del Giacco, L., additional, Santo, N., additional, Bini, L., additional, Magni, S., additional, Parolini, M., additional, Madaschi, L., additional, Ghilardi, A., additional, Maggioni, D., additional, Ascagni, M., additional, Armini, A., additional, Prosperi, L., additional, Landi, C., additional, La Porta, C., additional, and Della Torre, C., additional

Published
2017
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40. The mitochondrial Italian Human Proteome Project initiative (mt-HPP)

Author

Andrea, Urbani, Michele De Canio, Palmieri, F., Sechi, S., Bini, L., Castagnola, M., Fasano, M., Modesti, A., Roncada, P., Timperio, A. M., Bonizzi, L., Brunori, Maurizio, Cutruzzola', Francesca, De Pinto, V., Di Ilio, C., Federici, G., Folli, F., Foti, S., Gelfi, C., Lauro, D., Lucacchini, A., Magni, F., Messana, I., Pandolfi, P. P., Papa, S., Pucci, P., Sacchetta, P., Www Itpa It, Italian Mt Hpp Study Group Italian Proteomics Association (., Urbani, A, De Canio, M, Palmieri, F, Sechi, S, Bini, L, Castagnola, M, Fasano, M, Modesti, A, Roncada, P, Timperio, A, Bonizzi, L, Brunori, M, Cutruzzolà, F, De Pinto, V, Di Ilio, C, Federici, G, Folli, F, Foti, S, Gelfi, C, Lauro, D, Lucacchini, A, Magni, F, Messana, I, Pandolfi, P, Papa, S, Pucci, P, Sacchetta, P, A., Urbani, M., De Canio, F., Palmieri, S., Sechi, L., Bini, M., Castagnola, M., Fasano, A., Modesti, P., Roncada, A. M., Timperio, L., Bonizzi, M., Brunori, F., Cutruzzolà, V., De Pinto, C., Di Ilio, G., Federici, F., Folli, S., Foti, C., Gelfi, D., Lauro, A., Lucacchini, F., Magni, I., Messana, P. P., Pandolfi, S., Papa, Pucci, Pietro, and P., Sacchetta

Subjects
Mitochondrial DNA, STRESS, ALZHEIMER-DISEASE, NEURODEGENERATIVE DISEASES, RESPIRATORY-CHAIN, FATIGUE-SYNDROME, DYSFUNCTION, CANCER, DNA, METABOLISM, MUSCLE, Gene Expression, Biology, MED/46 - SCIENZE TECNICHE DI MEDICINA DI LABORATORIO, medicine.disease_cause, Genome, Human Genome Project, Heredity, medicine, Human proteome project, mithocondria, Chromosomes, Human, Humans, Molecular Biology, Settore BIO/10 - BIOCHIMICA, Genetics, Genome, Human, mitochondrial, proteomics, Gene Expression Profiling, Settore BIO/12, Chromosome Mapping, Chromosome, BIO/10 - BIOCHIMICA, Mitochondria, PROTEOME, Mitochondrial chromosome, Italy, Homo sapiens, Evolutionary biology, Genome, Mitochondrial, Proteome, Biotechnology
Abstract

Mitochondria carry maternally inherited genetic material, called the mitochondrial genome (mtDNA), which can be defined as the 25th human chromosome. The chromosome-centric Human Proteome Project (c-HPP) has initially focused its activities addressing the characterization and quantification of the nuclear encoded proteins. Following the last International HUPO Congress in Boston (September 2012) it was clear that however small the mitochondrial chromosome is, it plays an important role in many biological and physiopathological functions. Mutations in the mtDNA have been shown to be associated with dozens of unexplained disorders and the information contained in the mtDNA should be of major relevance to the understanding of many human diseases. Within this paper we describe the Italian initiative of the Human Proteome Project dedicated to mitochondria as part of both programs: chromosome-centric (c-HPP) and Biology/Disease (B/D-HPP). The mt-HPP has finally shifted the attention of the HUPO community outside the nuclear chromosomes with the general purpose to highlight the mitochondrial processes influencing the human health. Following this vision and considering the large interest and evidence collected on the non-Mendelian heredity of Homo sapiens associated with mt-chromosome and with the microbial commensal ecosystem constituting our organism we may speculate that this program will represent an initial step toward other HPP initiatives focusing on human phenotypic heredity.

Published
2013

42. Proteomic analysis and protein carbonylation profile in trained and untrained rat muscles

Author

Magherini F, Puglia M, Bini L, Gamberi T, Modesti A., ABRUZZO, PROVVIDENZA MARIA, MARINI, MARINA, Magherini F, Abruzzo PM, Puglia M, Bini L, Gamberi T, Marini M, and Modesti A

Subjects
proteomica, stress ossidativo, muscolo scheletrico, esercizio fisico
Abstract

Understanding the relationship between physical exercise, reactive oxygen species (ROS) and skeletal muscle modification is important in order to better identify the benefits or the damages that appropriate or inappropriate exercise can induce. Unbalanced ROS levels can lead to oxidation of cellular macromolecules a major class of protein oxidative modification is carbonylation. The aim of this investigation was to study muscle protein expression and carbonylation patterns in trained and untrained animal models. We analyzed two muscles characterized by different metabolisms: tibialis anterior and soleus. Whilst tibialis anterior is mostly composed of fast-twitch fibers, the soleus muscle is mostly composed of slow-twitch fibers. By a proteomic approach we identified 15 protein spots whose expression is influenced by training. Among them, in tibalis anterior we observed a down-regulation of several glycolitic enzymes. Concerning carbonylation, we observed the existence of a high basal level of protein carbonylation. Although this level shows some variation among individual animals, several proteins (mostly involved in energy metabolism, muscle contraction, and stress response) appear carbonylated in all animals and in both types of skeletal muscle. Moreover we identified 13 spots whose carbonylation increases after training. The increased carbonylation level may be correlated with the reduced CAT and SOD1 enzymes activity in both skeletal muscles. An important challenge for future investigation in this field will be to understand the impact of carbonylation on specific proteins and to evaluate whether and in which circumstances this basal level, which is supposedly well tolerated by cells, may increase as to hamper their functions.

Published
2011

44. Disegno e modalità di realizzazione della survey CHIP (CHinese In Prato)

Author

Modesti, PIETRO AMEDEO, Han, Y, Jing, Y, Xiaoling, W, Mengyue, Z, Zihua, Y, Jia, G, Perruolo, E, Bini, L, Camera, M, Biggeri, Annibale, Rapi, R, Hongsheng, C, Li, Z, Zengli, W, Jianbin, H, and Xiaoyue, Z.

Subjects
diabetes, cardiovascular, participatory research, Chinese immigrants
Published
2014

45. [Gastroesophageal reflux disease: clinical and pathophysiological features (part I)]

Author

Corinaldesi R, Salvioli B, Lioce A, Barbara G, Cremon C, Fustini E, Bini L, Cogliandro R, Boschi E, Cristina Felicani, Stanghellini V, De Giorgio R, Corinaldesi R, Salvioli B, Lioce A, Barbara G, Cremon C, Fustini E, Bini L, Cogliandro R, Boschi E, Felicani C, Stanghellini V, and De Giorgio R.

Subjects
Adult, Male, Esophageal pH Monitoring, Manometry, Contrast Media, Endoscopy, Proton Pump Inhibitors, Middle Aged, digestive system diseases, NO, Radiography, Barrett Esophagus, Hernia, Hiatal, Heartburn, Risk Factors, Gastroesophageal Reflux, Prevalence, Humans, Female, Barium Sulfate, Esophagitis, Peptic, Aged
Abstract

Gastroesophageal reflux disease (GERD) can be described as a clinical picture resulting from the reflux of stomach contents into the esophagus. The actual prevalence of GERD remains unestablished, although this disorder is generally common in old patients, male sex and in subsets of patients with pulmonary manifestations such as asthma. From a pathophysiological stand-point, GERD is thought to have a multifactorial etiology which involves genetics, anatomical, functional, environmental, hormonal and pharmacological factors. GERD has different clinical presentations which may be divided in three main classes: typical symptoms (heartburn and regurgitation); atypical or extraesophageal symptoms (angina-like chest pain, asthma, chronic cough and laryngitis); and complications (ulcers, strictures and Barrett's esophagus). In GERD diagnosis a key role is played by: accurate symptom evaluation, response to proton pump inhibitors and, finally, at least one in a life-time endoscopy. Moreover, barium swallow X-ray, 24-h esophageal pH monitoring and gastro-esophageal manometry can be useful to support diagnosis in some unusual cases or in cases partially or unresponsive to standard pharmacologic treatment.

Published
2007

46. Gastroesophageal reflux disease: therapeutic features (Part II)]

Author

Corinaldesi R, Salvioli B, Lioce A, Barbara G, Cremon C, Fustini E, Bini L, Cogliandro R, Boschi E, Cristina Felicani, Stanghellini V, De Giorgio R, Corinaldesi R, Salvioli B, Lioce A, Barbara G, Cremon C, Fustini E, Bini L, Cogliandro R, Boschi E, Felicani C, Stanghellini V, and De Giorgio R.

Subjects
digestive, oral, and skin physiology, Gastroesophageal Reflux, Humans, digestive system diseases, NO
Abstract

Gastroesophageal reflux disease (GERD) can be defined as a condition resulting from the reflux of stomach contents into the esophagus. Its pharmacological treatment is aimed at symptom relief, healing of erosions and ulcerations and prevention of relapses. Based on the pathophysiology, the ideal treatment is directed to enhance basal sphincter pressure or decrease the frequency of TLESR, restore esophageal "clearance", accelerate gastric emptying and highten mucosal resistance as well as reduce or inhibit gastric acid secretion. Most of these targets are currently achievable because the availability of different types of drugs, however the "ideal" pharmacologic treatment of GERD does not exist. Current remedies for GERD include life style changes along with a wide array of antisecretory drugs, such as antacids, H2-antagonists and proton pump inhibitors (PPI). Surgery, based on anti-reflux procedures, and endoscopic approaches may have a role in the management of patients with GERD.

Published
2007

49. Discovering HMGA molecular partners in tumor cells

Author

SGARRA, RICCARDO, GIANCOTTI, VINCENZO, MANFIOLETTI, GUIDALBERTO, TESSARI M, DI BERNARDO J, RUSTIGHI, ALESSANDRA, ZAGO P, LIBERATORI S, ARMINI A, BINI L, Sgarra, Riccardo, Tessari, M, DI BERNARDO, J, Rustighi, Alessandra, Zago, P, Liberatori, S, Armini, A, Bini, L, Giancotti, Vincenzo, and Manfioletti, Guidalberto

Subjects
Molecular network, Affinity cromatography, HMGA
Abstract

By a combination of affinity chromatography, two-dimensional gel electrophoresis and mass spectrometry we have identified about twenty putative HMGA interactors which could be roughly assigned to three different classes: mRNA processing proteins, chromatin remodelling related factors and structural proteins. Direct HMGA interaction with some of these proteins was confirmed by glutathione-S-transferase pull-down assays and the HMGA domain involved was mapped. Blot-overlay experiments reveal that members of the HMGA family share most of their molecular partners but, interestingly, it seems that there are some cell-type specific partners. Taken together, these experimental data indicate that HMGA proteins are highly connected nodes in the chromatin protein network.

Published
2005

50. L’attività dei Centri Antifumo italiani tra problematiche e aree da potenziare: i risultati di un’indagine svolta attraverso un questionario on-line

Author

Alessandra Di Pucchio, Roberta, Pacifici, Simona, Pichini, Antonella, Bacosi, Simonetta Di Carlo, Rita Di Giovannandrea, Patrizia, Gori, (ASL Brescia, Enrica Pizzi e Gruppo Servizi Territoriali per la cessazione dal fumo di tabacco: Abrami M. A., Leno, -BS), Agus, A., (ASS2 Isontina, Nicolazzi L., Gorizia), Ameglio, M., (AUSL 7, Cincinelli B., Zona Alta Val d'Elsa, Siena), Badii, F., (ASL 2 Savonese, Grossi S., Savona), Baraldo M. (OU S. Maria della Misericordia, Udine), Barbano, G., (AULSS 9 - Ospedale Cà Foncello, Bazzerla G., Treviso), Bassini M., Giampaolo R. (AUSL di Modena -Distretto di Castelfranco Emilia -MO), Beato, E., (Dipartimento Dipendenze, Prestipino A., ASL di Bergamo), Bergozza L., Rossetto L. (ULSS 4 Thiene -VI), Bertoletti R. (AO Valtellina e Valchiavenna, Sondalo), Biasin, C., (ULSS 21, Manzato E., Zevio, -VR), Bigarelli M. (AUSL Modena Area Nord, Carpi -MO), (ASL della Provincia di Mantova), Bini L., Boffi, R., (Fondazione IRCCS Istituto Nazionale dei Tumori, Pozzi P., Milano), Brancaccio, L., Monaldi', Guarino C. (AO 'V., Napoli), Cacaci, C., (ASUR Marche - Area Vasta 5, Apolloni P., San Benedetto del Tronto -AP), Calcagni, A. M., (Area Vasta 4 - Regione Marche, Mecozzi L., Giorgio -FM), Porto S., Calzolari, U., (ASL di Bergamo, Rovetta M., Lovere, -BG), Campiotti A. (ASL Milano 1, Magenta -MI), Canneti, E., Saccocci, M., Misericordia, Vichi S. (USL 9 P. O., Grosseto), Canzian G., Russo A. (ASS 3 Alto Friuli), Cao A. (ASL 5, Oristano), Carnevale E. (ASL Napoli 1 Centro - PS 'S. Maria di Loreto Crispi', Napoli), Carone, M., Maugeri, Sarno N. (Fondazione S., Cassano delle Murge -BA), Carrozzi, L., Pistelli, F., Cavalleri, C., (ASL TO3, Pini D., Beinasco, -TO), Cerrato P. (ASL TO2, Torino), Cestaro C., Repetto T. (AUSL Valle d'Aosta), Ciarfeo Purich R., Vegliach A. (ASS 1 Triestina), (Ausl di Imola), Cifiello S., Colombari, P., (ASL VC, Conti P., Vercelli), Conterio, P., (Asl TO1 Ospedale Martini, Gallo E., Torino), Cordioli, E., ULSS 22 Bussolengo, Melchiori S. (Az., Verona), Corti M. (ASL provincia Bergamo, Treviglio -BG), Costantino A. (AO Pugliese Ciaccio, Catanzaro), Cuccagna, P., (Asl TO3, Potosnjack A., Perosa Argentina -TO), Cutrì, R., (Azienda 10 Lungarno Santa Rosa, Barbanti A., Firenze), D’Urso, B., San Giovanni di Dio Ruggi D’Aragona', Amendola D. (AOU 'OO. RR., Salerno), Da Ros D. (ULSS 16, Padova), (IRCCS Ospedale, D'Alessandro V., Dalla Pietra G., Pavani V. (Az. ULSS 18 Rovigo), De Benedetto, F., Annunziata, Manigrasso M. R. (ASL Chieti PO Clinicizzato S. S., Chieti Scalo -CH), De Donno G. (AO Carlo Poma, Mantova), De Lozzo L., Facchini F. (PO di Vittorio Veneto -TV), De Marchi C. (ASL BI, Cossato -BI), (Sert Lamezia Terme), De Siena A., (ASP Reggio Calabria), De Stefano C., Del Donno, M., Rummo', Romano A. (AO 'G., Benevento), Delfini M., Galati A. (P. O. Villa Betania RM E), Di Dio, S., (ASP 3 Catania, Franco R., Giarre, -CT), Dominici F., De Rose V. (ASL di Viterbo), Donateo L., Gerardi R. (ASL Lecce), Fagni, F., (AUSL 3 di Pistoia, Pellegrini V., Pescia, -PT), Foschino Barbaro, M. P., (AOU Policlinico- Ospedale D'Avanzo, Ruggieri C., Foggia), Fulgione, C., Gennaro, Mallardo M. (ASL NA 1 O S., Fusconi, E., (ASL RMC Distretto 9, Del Brocco D., Roma), Galletti, F., (AOU Federico II, De Palma D., Grammatico P. (ASL Roma D, Roma), Grandelis C. (APSS, Borgo Valsugana -TN), Groppi C. (ASL 3, Pistoia), Iacoacci C., Barbieri F. (INRCA di Ancona), Ianniello, F., (AUSL 8, Passeri A., Montevarchi, -AR), Janiri L. (Università Cattolica Sacro Cuore, Roma), Kashanpour, H., (ASS 4, Zanon D., Udine), (PO Sud-Ospedale di Gaeta -LT), Kugler E., Lauro G., D'Amore A. (ASL Caserta), Lavacchini, G., (ASL 10 FI, Grati D., Zona, Mugello, Lorenzo -FI), Borgo S., Leonardi, C., (ASL RMC, Fierro G., Leonetti A. (ASL CN1, Mondovì -CN), Lugoboni, F., (AO Universitaria, Casari R., (ARNAS Ospedale Civico di Palermo), Madonia G., Magnelli F., Rota A. G. (ASP di Cosenza), Maiella, D., (ASL BN1, Izzo A., Manfredi A., Gai P. (ASL 4 di Prato), Mantovani A., Finessi A. (Az. Ulss 19 Adria -RO), Mantovani R., Viviani U. (AUSL di Ferrara PO di Copparo -FE), (ASP Trapani PO Mazara del Vallo -TP), Marino G., (ASL Sassari), Marras T., (ASL Ferrara), Marsili R., (ULSS 13 Dolo -VE), Melica V. E., Messere C. (ASL NA2 Nord, Napoli), Monti M. (Istituto Ortopedico Rizzoli, Bologna), Mussoni C., Cavicchi C. (Az. USL Bologna), Natoli, A., (ASS 6, Furlan N., Pordenone), Pamerani B., Porciatti C. (AUSL 10 Firenze), Panzanella C. (ASL Napoli 1 Centro – Osp 'San Giovanni Bosco', Napoli), Paolin C., Cannarsa F. (Az. Ulss 7 Pieve di Soligo -TV), Parillo T., Hazra C. (ASL di Como), Pasinato M. G. (Ulss 8 Asolo, Castelfranco Veneto -TV), (ASL 1 Distretto di Alghero -SS), Peana G., Pellegrini, L., Gios, L., (Distretto Centro Sud, Herzog S., Rovereto, -TN), Perillo, A., (ASL Na 3 Sud, Ambrosino M., Pomigliano d'Arco -NA), (Azienda Sanitaria di Matera), Perna M. T., Pezzuto, A., Andrea- Università Sapienza, Mariotta S. (AO S., Piancastelli, G., Ricci, C., Fabbri, C., USL Ravenna, Fava P. (Az., Sedi di Ravenna, Bagnacavallo, Faenza, -RA), Pieralli, D., (AUSL 8 Zona Aretina, Ferrarotto E., Arezzo), Pistelli, R., (Università Cattolica, Villani A., Complesso Integrato Columbus, Polo, M. F., (AOU, Manca S., Sassari), Polosa, R., (AOU, Caponnetto P., Università di Catania), Principe, R. Clementi F., Camillo-Forlanini, Dragani L. (AO S., Pulerà N. (AUSL 6, Livorno), Puoti F. (ASL Na1, Napoli), Residori M. (AULSS 22 Regione Veneto, Villafranca -VR), Romagnolo A. (ASL AT, Asti), Romano, A., Russo, G., (ASL TO 4 Ivrea, Arimatea S., Chivasso, Ciriè, -TO), Romano F., Scarlato M. I. (AO di Cosenza), Sacchi, G., Alletto', Magro F. (ASL 1-Poliambulatorio 'U., Agrigento), Saetta, M., Forza, G., (PO di Padova), Balestro E., Serafini, A., (Ospedale Civile, Bertora G., Imperia), Siracusano, L., (Istituto Clinico Humanitas, Autuori M., Rozzano, -MI), Spada, E., Maugeri, Balestroni G. (Fondazione S., Veruno, -NO), Staccioli M. C., Rossi B. (Ausl Rimini), Stefano, V., (ASL Provincia di Varese, Gaggini R., Arcisate, -VA), Subiaco, S., (ASUR Marche, Cimarelli M. E., Area Vasta, 2 Jesi -AN), Tartarotti I. (APSS, Pergine -TN), Tavanti, G., (AUSL 10, Paparini L., Antella, -FI), Tinghino B. (ASL Provincia di Monza e Brianza, Monza), (ASP N9 Trapani), Trapani V., Triani A., Senoner A. (AS Merano e AS Bolzano -BZ), Valeri W. (Area Vasta 2 Ancona – ASUR Marche, Ancona), (ASL di Lodi), Varango C., Varese M. (ASL 1, Regione Toscana), Vidal, V., (ASS 5, Mustacchi A., Palmanova, -UD), Viola, S., Salvini, Tomasich A. (A. O., Garbagnate, -MI), (AO Istituti Ospitalieri di Cremona -CR), Virzì G., Vito, A., Parrella, R. (AORN Ospedali dei Colli Monaldi-Cotugno-C. T. O., (AUSL di Bologna), Zagà V., and (ULSS 5, Zini G.

Subjects
Centri Antifumo, Indagine on-line, Cessazione dal fumo di tabacco, Fumo di tabacco
Published
2013

Catalog

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