77 results on '"Solazzo, G."'
Search Results
2. Knowledge-Based Tools for E-Service Profiling and Mining
- Author
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Corallo, A., Lorenzo, G., Solazzo, G., Arnone, D., and Pernici, Barbara, editor
- Published
- 2006
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- View/download PDF
3. Reference Architecture and Framework
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Adorni, M., Arcelli, F., Bandini, S., Baresi, L., Batini, C., Bianchi, A., Bianchini, D., Brioschi, M., Caforio, A., Calì, A., Cappellari, P., Cappiello, C., Catarci, T., Corallo, A., De Antonellis, V., Franza, C., Giunta, G., Limonta, A., Lorenzo, G., Losi, P., Maurino, A., Melideo, M., Micucci, D., Modafferi, S., Mussi, E., Negri, L., Pandolfo, C., Pernici, B., Plebani, P., Ragazzi, D., Raibulet, C., Riva, M., Simeoni, N., Simone, C., Solazzo, G., Tisato, F., Torlone, R., Vizzari, G., Zilli, A., and Pernici, Barbara, editor
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- 2006
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4. Relation among brain-derived neurotrophic factor, depression, and extracellular vesicles-derived miRNA: Results from an Italian cohort
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Barbieri, S.S., primary, Amadio, P., additional, Macchi, C., additional, Zarà, M., additional, Favero, C., additional, Solazzo, G., additional, Vigna, L., additional, Greco, M.F., additional, Buoli, M., additional, Sirtori, C.R., additional, Ieraci, A., additional, Ruscica, M., additional, and Bollati, V., additional
- Published
- 2022
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5. The social parasite Phengaris (Maculinea) nausithous affects genetic diversity within Myrmica rubra host ant colonies
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Solazzo, G., Moritz, R. F. A., and Settele, J.
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- 2014
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6. Choice behaviour of Myrmica rubra workers between ant larvae and larvae of their Phengaris (Maculinea) nausithous nest parasites
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Solazzo, G., Moritz, R. F. A., and Settele, J.
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- 2013
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7. The ‘Big Social Data’ paradigm: definition, key features, and applicative contexts
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Elia G., Solazzo G., Lorenzo G., Passiante G., Elia, G., Solazzo, G., Lorenzo, G., and Passiante, G.
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Big Data, Big Social Data, Digital Context, Systematic Literature Review, Taxonomy - Abstract
The exponential growth of data existing on the web and generated by organizations and individuals, computer systems and digital devices, is opening new scenarios and opportunities for their exploitation, and new technological and managerial challenges are arising about the collection, transformation, storage, processing, usage, and visualization of such huge amount of data. The Big Data paradigm has therefore emerged as a socio-technical system that allows for offering innovative services in many data-intensive applications and domains. Within the Big Data field, the Big Social Data concept emerged as a relatively new phenomenon with multiple meanings and applications. According to the literature, the Big Social Data paradigm still lacks of a clear and shared definition. Thus, through a Systematic Literature Review, this paper aims at fulfilling this gap by providing a conceptualization of the Big Social Data paradigm that includes a possible definition, the distinguishing characteristics and properties, and some applications in real-life settings. Furthermore, by leveraging an existing taxonomy of data types, this paper proposes an extension that is specific for the Big Social Data domain, by introducing a new category of data type, namely “Digital Context Data”, which includes data related to the patterns of digital context dynamics. Finally, specifically for this new category of data type, two example applications in data-intensive domains (i.e. smart tourism and e-health) have been provided to demonstrate how the Big Social Data paradigm can describe, both explicitly and implicitly, the patterns of digital context dynamics.
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- 2019
8. Habitat Preferences of Phengaris (Maculinea) arion and its Myrmica host ants: implications for habitat management in the Alps
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Casacci, LUCA PIETRO, Witek, Magdalena, Barbero, Francesca, Patricelli, Dario, Solazzo, G, Balletto, Emilio, and Bonelli, Simona
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- 2010
9. Schematic architecture: Reference architecture/frameworks/particular models for the shop floor environment
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Adorni, M., Arcelli, F., Bandini, S., Baresi, L., Batini, C., Bianchi, A., Bianchini, D., Brioschi, M., Caforio, A., Calì, A., Cappellari, P., Cappiello, C., Catarci, Tiziana, Corallo, A., De Antonellis, V., Franza, C., Giunta, G., Limonta, A., Lorenzo, G., Losi, P., Maurino, A., Melideo, M., Micucci, D., Modafferi, S., Mussi, E., Negri, L., Pandolfo, C., Pernici, B., Plebani, P., Ragazzi, D., Raibulet, C., Riva, M., Simeoni, N., Simone, C., Solazzo, G., Tisato, F., Torlone, R., Vizzari, G., and Zilli, A.
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Computer Science (all) - Published
- 2006
10. Knowledge-Based Tools for E-Service Profiling and Mining
- Author
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Corallo, A., primary, Lorenzo, G., additional, Solazzo, G., additional, and Arnone, D., additional
- Full Text
- View/download PDF
11. Reference Architecture and Framework
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Pernici, B, Adorni, M, ARCELLI FONTANA, F, Bandini, S, Baresi, L, Batini, C, Bianchi, A, Bianchini, D, Brioschi, M, Caforio, A, Cal`i, A, Cappellari, P, Cappiello, C, Catarci, T, Corallo, A, De Antonellis, V, Franza, C, Giunta, G, Limonta, A, Lorenzo, G, Losi, P, Maurino, A, Melideo, M, Micucci, D, Modafferi, S, Mussi, E, Negri, L, Pandolfo, C, Plebani, P, Ragazzi, D, Raibulet, C, Riva, M, Simeoni, N, Simone, C, Vizzari, G, Solazzo, G, Tisato, F, Torlone, R, Zilli, A, Zilli, A., ARCELLI FONTANA, FRANCESCA, BANDINI, STEFANIA, BATINI, CARLO, MAURINO, ANDREA, MICUCCI, DANIELA, RAIBULET, CLAUDIA, SIMONE, CARLA, VIZZARI, GIUSEPPE, TISATO, FRANCESCO, Pernici, B, Adorni, M, ARCELLI FONTANA, F, Bandini, S, Baresi, L, Batini, C, Bianchi, A, Bianchini, D, Brioschi, M, Caforio, A, Cal`i, A, Cappellari, P, Cappiello, C, Catarci, T, Corallo, A, De Antonellis, V, Franza, C, Giunta, G, Limonta, A, Lorenzo, G, Losi, P, Maurino, A, Melideo, M, Micucci, D, Modafferi, S, Mussi, E, Negri, L, Pandolfo, C, Plebani, P, Ragazzi, D, Raibulet, C, Riva, M, Simeoni, N, Simone, C, Vizzari, G, Solazzo, G, Tisato, F, Torlone, R, Zilli, A, Zilli, A., ARCELLI FONTANA, FRANCESCA, BANDINI, STEFANIA, BATINI, CARLO, MAURINO, ANDREA, MICUCCI, DANIELA, RAIBULET, CLAUDIA, SIMONE, CARLA, VIZZARI, GIUSEPPE, and TISATO, FRANCESCO
- Abstract
The goal of the MAIS system is to provide support for flexible and adaptive execution of applications in a distributed, multichannel, mobile information system. In such a system, a fundamental requirement is an ability to describe the continuously evolving execution environment and user characteristics. Service requests are therefore satisfied by considering both the request itself and its provisioning environment. The first part of this chapter presents the general architecture of the MAIS system. The MAIS architecture allows us to define a set of “pluggable” modules which can be composed to provide adaptivity at different levels in the MAIS system. The main architectural components are introduced in Sect. 2.2; more details of the components are provided in the rest of the book. The MAIS reference framework, illustrated in the second part of this chapter, provides the essential basis for all of the adaptive mechanisms that are illustrated in the book. The MAIS reference framework defines a common understanding of the elements of a mobile information system that are used to enable communication among the various modules of a MAIS system during information exchange and service provisioning. The reference framework is composed of a set of models: the functional model, the architectural model, and the context model. These are described in the second part of this chapter.
- Published
- 2006
12. Choice behaviour of Myrmica rubra workers between ant larvae and larvae of their Phengaris (Maculinea) nausithous nest parasites
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Solazzo, G., primary, Moritz, R. F. A., additional, and Settele, J., additional
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- 2012
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13. Knowledge-Based Tools for E-Service Profiling and Mining.
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Pernici, Barbara, Corallo, A., Lorenzo, G., Solazzo, G., and Arnone, D.
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- 2006
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14. Papuliferous adenocarcinoma of the seminal vesicle: Clinical case
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Cammarata, C., primary, Paola, Q., additional, Panarisi, S., additional, Curto, F., additional, Barbera, M., additional, Solazzo, G., additional, Curto, G., additional, and Nuciforo, G., additional
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- 1998
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15. Atypical leiomuscular tumour of the prostate
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Cammarata, C., primary, Barbera, M., additional, Curto, F., additional, Panarisi, S., additional, Paola, Q., additional, Solazzo, G., additional, Curto, G., additional, and Cabibi, D., additional
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- 1998
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16. Stenosis of the bladder neck secondary to TURP: Our experience
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Paola, Q., primary, Barbera, M., additional, Cammarata, C., additional, Panarisi, S., additional, Solazzo, G., additional, Curto, F., additional, and Curto, G., additional
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- 1998
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17. Dynamic ultrasound for assessing obstructions in the upper urinary tracts: Usefulness and reliability
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Barbera, M., primary, De Gregorio, A., additional, Panarisi, S., additional, Paola, Q., additional, Cammarata, C., additional, Solazzo, G., additional, Curto, F., additional, and Curto, G., additional
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- 1998
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18. Sarcomatoid bladder carcinoma
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Solazzo, G., primary, Paola, Q., additional, Cammarata, C., additional, Panarisi, S., additional, Barbera, M., additional, Curto, F., additional, Curto, G., additional, Cabibi, D., additional, and Rizzo, A., additional
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- 1998
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19. Mini-invasive treatment of BPH with TUIP
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Panarisi, S., primary, Barbera, M., additional, Cammarata, C., additional, Paola, Q., additional, Solazzo, G., additional, Curto, F., additional, and Curto, G., additional
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- 1998
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20. Fournier's disease: Case report
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Panarisi, S., primary, Barbera, M., additional, Cammarata, C., additional, Paola, Q., additional, Solazzo, G., additional, Curto, F., additional, and Curto, G., additional
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- 1997
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21. Urothelioma of the upper urinary tract: Case description and literature review
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Barbera, M., primary, Panarisi, S., additional, Paola, Q., additional, Cammarata, C., additional, Solazzo, G., additional, Curto, G., additional, and Albano, G., additional
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- 1997
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22. A case of multilocular renal cysts
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Solazzo, G., primary, Paola, Q., additional, Cammarata, C., additional, Panarisi, S., additional, Barbera, M., additional, Curto, G., additional, and Nuciforo, G., additional
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- 1997
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23. Inflammatory pseudo bladder tumour: Clinical case
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Paola, Q., primary, Cammarata, C., additional, Panarisi, S., additional, Barbera, M., additional, Solazzo, G., additional, Curto, F., additional, Curto, G., additional, Nuciforo, P., additional, and Nuciforo, G., additional
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- 1997
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24. L'adenoma nefrogenico della vescica. Caso clinico
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Cammarata, C., primary, Paola, Q., additional, Panarisi, S., additional, Barbera, M., additional, Solazzo, G., additional, and Curto, G., additional
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- 1995
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25. Extracting insights from big social data for smarter tourism destination management
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Gianluca Elia, Valentina Ndou, Pasquale Del Vecchio, Gianluca Solazzo, Y. Maruccia, Gianluca Lorenzo, Solazzo, G., Maruccia, Y., Lorenzo, G., Ndou, V., Del Vecchio, P., Elia, G., Solazzo, Gianluca, Maruccia, Ylenia, Lorenzo, Gianluca, Elia, Gianluca, DEL VECCHIO, Pasquale, and Ndou, Valentina
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Organizational Behavior and Human Resource Management ,business.industry ,05 social sciences ,Big data ,Destination management ,Big Social Data, Decision Making, Tourism Destination Management, Tourist Behaviour, Value generation ,General Business, Management and Accounting ,Data science ,0502 economics and business ,050211 marketing ,DMO ,Big data analytic ,business ,Tourism destination management ,050212 sport, leisure & tourism ,Tourism ,Tourist behaviour - Abstract
Purpose This paper aims to highlight how big social data (BSD) and analytics exploitation may help destination management organisations (DMOs) to understand tourist behaviours and destination experiences and images. Gathering data from two different sources, Flickr and Twitter, textual and visual contents are used to perform different analytics tasks to generate insights on tourist behaviour and the affective aspects of the destination image. Design/methodology/approach This work adopts a method based on a multimodal approach on BSD and analytics, considering multiple BSD sources, different analytics techniques on heterogeneous data types, to obtain complementary results on the Salento region (Italy) case study. Findings Results show that the generated insights allow DMOs to acquire new knowledge about discovery of unknown clusters of points of interest, identify trends and seasonal patterns of tourist demand, monitor topic and sentiment and identify attractive places. DMOs can exploit insights to address its needs in terms of decision support for the management and development of the destination, the enhancement of destination attractiveness, the shaping of new marketing and communication strategies and the planning of tourist demand within the destination. Originality/value The originality of this work is in the use of BSD and analytics techniques for giving DMOs specific insights on a destination in a deep and wide fashion. Collected data are used with a multimodal analytic approach to build tourist characteristics, images, attitudes and preferred destination attributes, which represent for DMOs a unique mean for problem-solving, decision-making, innovation and prediction.
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- 2022
26. Assessing learners’ satisfaction in collaborative online courses through a big data approach
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Giuseppina Passiante, Gianluca Lorenzo, Gianluca Solazzo, Gianluca Elia, Elia, G., Solazzo, G., Lorenzo, G., and Passiante, G.
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Learning satisfaction ,Evaluation strategy ,Computer science ,Big data ,Learning analytics ,050801 communication & media studies ,Context (language use) ,Clustering ,Learning analytic ,Domain (software engineering) ,Sentiment analysis ,0508 media and communications ,Software ,Arts and Humanities (miscellaneous) ,General Psychology ,business.industry ,05 social sciences ,050301 education ,Collaborative learning ,Data science ,Human-Computer Interaction ,Action (philosophy) ,business ,0503 education - Abstract
Monitoring learners' satisfaction (LS) is a vital action for collecting precious information and design valuable online collaborative learning (CL) experiences. Today's CL platforms allow students for performing many online activities, thus generating a huge mass of data that can be processed to provide insights about the level of satisfaction on contents, services, community interactions, and effort. Big Data is a suitable paradigm for real-time processing of large data sets concerning the LS, in the final aim to provide valuable information that may improve the CL experience. Besides, the adoption of Big Data offers the opportunity to implement a non-intrusive and in-process evaluation strategy of online courses that complements the traditional and time-consuming ways to collect feedback (e.g. questionnaires or surveys). Although the application of Big Data in the CL domain is a recent explored research area with limited applications, it may have an important role in the future of online education. By adopting the design science research methodology, this article describes a novel method and approach to analyse individual students' contributions in online learning activities and assess the level of their satisfaction towards the course. A software artefact is also presented, which leverages Learning Analytics in a Big Data context, with the goal to provide in real-time valuable insights that people and systems can use to intervene properly in the program. The contribution of this paper can be of value for both researchers and practitioners: the former can be interested in the approach and method used for LS assessment; the latter can find of interest the system implemented and how it has been tested in a real online course.
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- 2019
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27. Defining the big social data paradigm through a systematic literature review approach
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Giuseppina Passiante, Gianluca Solazzo, Gianluca Elia, Solazzo, G., Elia, G., and Passiante, G.
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Knowledge management ,Conceptualization ,business.industry ,Computer science ,Strategy and Management ,05 social sciences ,Big data ,Systematic literature review ,Research agenda ,Unstructured data ,Data type ,law.invention ,Identification (information) ,Big social data ,Systematic review ,law ,Management of Technology and Innovation ,0502 economics and business ,CLARITY ,Unsupervised learning ,050211 marketing ,business ,050203 business & management - Abstract
Purpose This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources. Design/methodology/approach The study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques. Findings The paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective. Research limitations/implications The main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field. Practical implications Practical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories. Originality/value The original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.
- Published
- 2021
28. DNA Methylation in Nasal Epithelium: Strengths and Limitations of an Emergent Biomarker for Childhood Asthma
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Giuliana Ferrante, Stefania La Grutta, Giulia Solazzo, and Solazzo G, Ferrante G, La Grutta S
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Mini Review ,Disease ,030204 cardiovascular system & hematology ,Bioinformatics ,Pediatrics ,03 medical and health sciences ,0302 clinical medicine ,children ,030225 pediatrics ,medicine ,Asthma ,Childhood asthma ,DNA methylation ,business.industry ,Respiratory disease ,lcsh:RJ1-570 ,lcsh:Pediatrics ,asthma ,medicine.disease ,Nasal epithelium ,Epigenetic Mechanism ,nasal epithelium ,Biomarker ,Pediatrics, Perinatology and Child Health ,biomarker ,business - Abstract
Asthma is one of the most widespread chronic respiratory conditions. This disease primarily develops in childhood and is influenced by different factors, mainly genetics and environmental factors. DNA methylation is an epigenetic mechanism which may represent a bridge between these two factors, providing a tool to comprehend the interaction between genetics and environment. Most epidemiological studies in this field have been conducted using blood samples, although DNA methylation marks in blood may not be reliable for drawing exhaustive conclusions about DNA methylation in the airways. Because of the role of nasal epithelium in asthma and the tissue specificity of DNA methylation, studying the relationship between DNA methylation and childhood asthma might reveal crucial information about this widespread respiratory disease. The purpose of this review is to describe current findings in this field of research. We will present a viewpoint of selected studies, consider strengths and limitations, and propose future research in this area.
- Published
- 2020
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29. A multi-dimension framework for value creation through Big Data
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Gianluca Solazzo, Giuseppina Passiante, Gloria Polimeno, Gianluca Elia, Elia, G., Polimeno, G., Solazzo, G., Passiante, G., Elia, Gianluca, Polimeno, Gloria, Solazzo, Gianluca, and Passiante, Giuseppina
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Marketing ,Big Data, Framework, Systematic Literature Review, Value ,business.industry ,Computer science ,Big Data analytic ,05 social sciences ,Cognitive computing ,Big data ,Framework ,Systematic literature review ,Data science ,Field (computer science) ,Value creation ,Domain (software engineering) ,Systematic review ,Transformational leadership ,Transactional leadership ,0502 economics and business ,050211 marketing ,business ,Value (mathematics) ,050203 business & management ,Model - Abstract
Big Data has been heralded as a key agent of the third industrial revolution, and currently represents a promising area for value creation and frontier research. The potential to extract actionable insights from Big Data has gained increasing attention of both academics and practitioners operating in several industrial sectors. However, the adoption of Big Data solutions does not always generate effective value for the adopters. Therefore, the gap existing between the potential of value creation embedded in the Big Data paradigm and the current limited exploitation of this value represents an area of investigation that this paper aims to explore. In particular, this study aims at investigating the following research question: “Which are the multiple value directions that the Big Data paradigm can generate for organizations?”. In this vein, the article presents the result of a systematic literature review aimed at defining a framework that identifies the possible directions of value creation for an organization that may decide to implement the Big Data paradigm. By adopting a systematic literature review, the framework leverages and extends a previous contribution of Wamba et al. (2015) on the same topic. A further element of originality is related to the introduction of a further phase in the analysis, consisting in the application of text mining algorithms to analyse the selected resources, in the final aim to highlight possible terms and concepts remained hidden or latent in the human-led analysis.
- Published
- 2020
30. e-business case as a tool for facilitating ICT adoption in local government agencies
- Author
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Maria Luce Lanna, Gianluca Solazzo, Gioconda Mele, Claudio Petti, Marco De Maggio, Petti, C., De Maggio, M., Lanna, M. L., Mele, G., Solazzo, G., Thomasz Janowski and Jim Davies, Petti, Claudio, M., De Maggio, M., Lanna, G., Mele, and G., Solazzo
- Subjects
E-business case ,Knowledge management ,Electronic business ,Process (engineering) ,business.industry ,Service delivery framework ,media_common.quotation_subject ,ComputingMilieux_LEGALASPECTSOFCOMPUTING ,Local Government Agency (LGA) ,Public relations ,ICT adoption ,Promotion (rank) ,Information and Communications Technology ,Local government ,Agency (sociology) ,Business ,Tourism ,media_common - Abstract
A major challenge for Local Governments today is represented by the introduction of new networked service delivery models able to coordinate a number of different local actors for responding effectively to increasing community's expectations. Information and Communication Technologies (ICTs) are instrumental here. Though, the implementation of ICTs in Local Government Agencies (LGA) is a challenge too. That's why effective new services delivery models and successful adoption of enabling ICTs within the LGA goes hand-in-hand. Following these considerations, this paper aims at illustrating a case of ICT-based solutions adoption into a Local Government Agency in charge of tourism promotion. More specifically the e-business case methodology crafted and used for this purpose will be shown. In doing so, the role of the e-business case will be advocated both as a tool to accompany Local Government Agencies into the process of introducing and using ICTs, both as a starting point for a wider strategy aimed at modernizing local communities though ICTs. © 2010 ACM.
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- 2010
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31. Architectural Scenarios Supporting e-Business Models for a DMS
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Claudio Petti, Gianluca Solazzo, Sigala M., Mich L., e Murphy J., Petti, Claudio, and Solazzo, G.
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Matching (statistics) ,Electronic business ,business.industry ,Computer science ,Management science ,DMS ,Business model ,Identification (information) ,Software ,business model ,Systems engineering ,DMS architecture ,Architecture ,business ,Set (psychology) ,DMS technologies - Abstract
Following recent studies and analysis conducted about Business Models for DMSs, this paper aims at discussing the interrelationships between destinations’ configurations, business models, and architectural strategy for DMS platforms. In particular this work draws on recent attempts aimed at matching DMS business models design with specific characteristics of target destinations, to extend the same considerations towards the identification of the appropriate technological architectures and enabling software applications. In this aim a framework for selecting the appropriate DMS architecture is presented. The result of this analysis will thus lead to the identification of a set of technological architectures according to the different configurations that a destination might present.
- Published
- 2007
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32. A knowledge-based interaction model between users and an adaptive information system
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Gianluca Solazzo, Gianluca Lorenzo, Gianluca Elia, Angelo Corallo, Rajiv Khosla, Robert J. Howlett and Lakhmi C. Jain, Corallo, Angelo, Elia, Gianluca, Lorenzo, Gianluca, and Solazzo, G.
- Subjects
User profile ,Computer science ,business.industry ,Semantics ,computer.software_genre ,Expert system ,Personalization ,Algorithm ,World Wide Web ,Recommendation system ,Knowledge base ,Human–computer interaction ,Adaptive system ,Information system ,Knowledge based systems ,business ,computer ,Semantic Web ,Semantic matching - Abstract
This work approaches the problem of modelling interactions between users and an adaptive system. It is presented the approach adopted in the MAIS project for modelling and designing a recommendation environment for delivering services in a personalized way. The model relies on semantic description of services, on rule-based user profile (part of these studies came from the experience in the KIWI project) and on the use of semantic matching algorithms. We also present the design of the recommendation engine, that is the core subcomponent of the Environment, which performs the task to evaluate each service according to user preferences.
33. Service customization supporting an adaptive information system
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Gianluca Elia, Antonio Caforio, Gianluca Solazzo, Angelo Corallo, Caforio, Antonio, Corallo, Angelo, Elia, Gianluca, Solazzo, Gianluca, M.G. Negoita, R.J. Howlett, L.C. Jain, Caforio, A., and Solazzo, G.
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Service delivery framework ,Business process ,Computer science ,Service discovery ,Recommender system ,computer.software_genre ,Social Semantic Web ,Theoretical Computer Science ,World Wide Web ,Semantic similarity ,Information system ,Semantic Web Stack ,ontology ,Semantic Web ,Data Web ,Semantic matching ,Information retrieval ,User profile ,algorithm ,business.industry ,web service discovering ,Computer Science (all) ,adaptive system ,Differentiated service ,semantic recommender ,Service customization ,Ontology ,Web service ,business ,computer - Abstract
This work approaches the problem of discovering atomic web services that will realize complex business processes in an adaptive information system. It is proposed a model for semantic description of web services and user profile and the design of a semantic recommender engine based on this model. The recommender engine performs, during the web service discovery phase, a ”similarity evaluation” step in which it can be possible to estimate the similarity between what the service offers and what the user prefers. A semantic algorithm, that measures distance between concepts in an ontology, is used to rank the results of the semantic matching between the user profile and a list of web services, suggesting to the user the most suitable services.
34. The microbiome of Total Suspended Particles (TSP) and its influence on the respiratory microbiome of healthy office workers.
- Author
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Solazzo G, Rovelli S, Iodice S, Chung M, Frimpong M, Bollati V, Ferrari L, and Ghedin E
- Abstract
Air particulate matter (PM) is widely recognized for its potential to negatively affect human health, including changes in the upper respiratory microbiome. However, research on PM-associated microbiota remains limited and mostly focused on PM (e.g., PM
2.5 and PM10 ). This study aims to characterize for the first time the microbiome of Total Suspended Particles (TSP) and investigate the correlations of indoor TSP with the human upper respiratory microbiome. Biological and environmental samples were collected over three collection periods lasting three weeks each, between May and July 2022 at the University of Milan and the University of Insubria Como. TSP were sampled using a filter-based technique, while respiratory samples from both anterior nares (AN) and the nasopharynx (NP) were collected using swabs. Microbiome analysis of both human (N = 145) and TSP (N = 51) samples was conducted on metagenomic sequencing data. A comparison of indoor and outdoor TSP microbiomes revealed differences in microbial diversity and taxonomic composition. The indoor samples had higher relative abundance of environmental bacteria often associated with opportunistic infections like Paracoccus sp., as well as respiratory bacteria such as Staphylococcus aureus and Klebsiella pneumoniae . Additionally, both indoor and outdoor TSP samples contained broad spectrum antibiotic resistance genes. Indoor TSP exposure was negatively associated with commensal bacteria and positively associated with Staphylococcus aureus relative abundance. Finally, a correlation between the relative abundance of respiratory bacteria identified in the indoor TSP and the upper respiratory microbiome was found, suggesting a potential interaction between TSP and the upper airways., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests to disclose.- Published
- 2024
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35. Effect of environmental exposures on cancer risk: Emerging role of non-coding RNA shuttled by extracellular vesicles.
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Monti P, Solazzo G, and Bollati V
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- Humans, Smoking, Environmental Exposure adverse effects, Tumor Microenvironment, Extracellular Vesicles metabolism, MicroRNAs genetics, MicroRNAs metabolism, Neoplasms genetics
- Abstract
Environmental and lifestyle exposures have a huge impact on cancer risk; nevertheless, the biological mechanisms underlying this association remain poorly understood. Extracellular vesicles (EVs) are membrane-enclosed particles actively released by all living cells, which play a key role in intercellular communication. EVs transport a variegate cargo of biomolecules, including non-coding RNA (ncRNA), which are well-known regulators of gene expression. Once delivered to recipient cells, EV-borne ncRNAs modulate a plethora of cancer-related biological processes, including cell proliferation, differentiation, and motility. In addition, the ncRNA content of EVs can be altered in response to outer stimuli. Such changes can occur either as an active attempt to adapt to the changing environment or as an uncontrolled consequence of cell homeostasis loss. In either case, such environmentally-driven alterations in EV ncRNA might affect the complex crosstalk between malignant cells and the tumor microenvironment, thus modulating the risk of cancer initiation and progression. In this review, we summarize the current knowledge about EV ncRNAs at the interface between environmental and lifestyle determinants and cancer. In particular, we focus on the effect of smoking, air and water pollution, diet, exercise, and electromagnetic radiation. In addition, we have conducted a bioinformatic analysis to investigate the biological functions of the genes targeted by environmentally-regulated EV microRNAs. Overall, we draw a comprehensive picture of the role of EV ncRNA at the interface between external factors and cancer, which could be of great interest to the development of novel strategies for cancer prevention, diagnosis, and therapy., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2023
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36. Pyroptosis: A Promising Mechanism Linking SARS-CoV-2 Infection to Adverse Pregnancy Outcomes.
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Monti P, Solazzo G, Accurti V, Gambitta B, Iodice S, Boito S, Cantone L, Manenti A, Dioni L, Montomoli E, Persico N, and Bollati V
- Subjects
- Humans, Pregnancy, Female, Pregnancy Outcome, NLR Family, Pyrin Domain-Containing 3 Protein genetics, Pyroptosis, SARS-CoV-2 metabolism, Inflammation, COVID-19, MicroRNAs metabolism, Circulating MicroRNA
- Abstract
Pregnancy is characterized by a delicate immune balance; therefore, infectious diseases might increase the risk of adverse pregnancy outcomes (APOs). Here, we hypothesize that pyroptosis, a unique cell death pathway mediated by the NLRP3 inflammasome, could link SARS-CoV-2 infection, inflammation, and APOs. Two blood samples were collected from 231 pregnant women at 11-13 weeks of gestation and in the perinatal period. At each time point, SARS-CoV-2 antibodies and neutralizing antibody titers were measured by ELISA and microneutralization (MN) assays, respectively. Plasmatic NLRP3 was determined by ELISA. Fourteen miRNAs selected for their role in inflammation and/or pregnancy were quantified by qPCR and further investigated by miRNA-gene target analysis. NLRP3 levels were positively associated with nine circulating miRNAs, of which miR-195-5p was increased only in MN+ women ( p -value = 0.017). Pre-eclampsia was associated with a decrease in miR-106a-5p ( p -value = 0.050). miR-106a-5p ( p -value = 0.026) and miR-210-3p ( p -value = 0.035) were increased in women with gestational diabetes. Women giving birth to small for gestational age babies had lower miR-106a-5p and miR-21-5p ( p -values = 0.001 and 0.036, respectively), and higher miR-155-5p levels ( p -value = 0.008). We also observed that neutralizing antibodies and NLRP3 concentrations could affect the association between APOs and miRNAs. Our findings suggest for the first time a possible link between COVID-19, NLRP3-mediated pyroptosis, inflammation, and APOs. Circulating miRNAs might be suitable candidates to gain a comprehensive view of this complex interplay.
- Published
- 2023
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37. Upper Respiratory Microbiome in Pregnant Women: Characterization and Influence of Parity.
- Author
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Solazzo G, Iodice S, Mariani J, Persico N, Bollati V, and Ferrari L
- Abstract
During pregnancy, the woman's immune system changes to support fetal development. These immunological modifications can increase the risk of respiratory diseases. Because the respiratory microbiome is involved in airway homeostasis, it is important to investigate how it changes during pregnancy. Additionally, since parity is associated with immune system alterations and cohabitants shared a similar microbiome, we investigated whether having a child may influence the respiratory microbiome of pregnant women. We compared the microbiome of 55 pregnant with 26 non-pregnant women using 16S rRNA gene sequencing and analyzed taxonomy, diversity, and metabolic pathways to evaluate the differences among nulliparous, primiparous, and multiparous women. The microbiome was similar in pregnant and non-pregnant women, but pregnant women had higher alpha diversity (Chao1 p -value = 0.001; Fisher p -value = 0.005) and a lower abundance of several metabolic pathways. Multiparous pregnant women had a higher relative abundance of Moraxella ( p -value = 0.003) and a lower abundance of Corynebacterium ( p -value = 0.002) compared with primiparous women. Both multiparous (pregnant) and primiparous/multiparous (non-pregnant) women reported a higher abundance of Moraxella compared with primiparous (pregnant) or nulliparous ones ( p -value = 0.001). In conclusion, we characterized for the first time the upper airway microbiome of pregnant women and observed the influence of parity on its composition.
- Published
- 2022
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38. Extracellular vesicles and their miRNA contents counterbalance the pro-inflammatory effect of air pollution during physiological pregnancy: A focus on Syncytin-1 positive vesicles.
- Author
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Ferrari L, Iodice S, Cantone L, Solazzo G, Dioni L, Hoxha M, Vicenzi M, Mozzoni P, Bergamaschi E, Persico N, and Bollati V
- Subjects
- Biomarkers analysis, Female, Gene Products, env, HLA-G Antigens analysis, HLA-G Antigens pharmacology, Humans, Particulate Matter analysis, Pregnancy, Pregnancy Proteins, Air Pollutants analysis, Air Pollution adverse effects, Air Pollution analysis, Extracellular Vesicles, MicroRNAs analysis
- Abstract
The impact of exposure to respirable particulate matter (PM) during pregnancy is a growing concern, as several studies have associated increased risks of adverse pregnancy and birth outcomes, and impaired intrauterine growth with air pollution. The molecular mechanisms responsible for such effects are still under debate. Extracellular vesicles (EVs), which travel in body fluids and transfer microRNAs (miRNAs) between tissues (e.g., pulmonary environment and placenta), might play an important role in PM-induced risk. We sought to determine whether the levels of PM with aerodynamic diameters of ≤10 µm (PM
10 ) and ≤2.5 µm (PM2.5 ) are associated with changes in plasmatic EV release and EV-miRNA content by investigating 518 women enrolled in the INSIDE study during the first trimester of pregnancy. In all models, we included both the 90-day averages of PM (long-term effects) and the differences between the daily estimate of PM and the 90-day average (short-term effects). Short-term PM10 and PM2.5 were associated with increased concentrations of all seven EV types that we assayed (positive for human antigen leukocyte G (HLA-G), Syncytin-1 (Sync-1), CD14, CD105, CD62e, CD61, or CD25 determinants), while long-term PM10 showed a trend towards decreased EV concentrations. Increased Sync-1 + EV levels were associated with the plasmatic decrease of sVCAM-1, but not of sICAM-1, which are circulating biomarkers of endothelial dysfunction. Thirteen EV-miRNAs were downregulated in response to long-term PM10 and PM2.5 variations, while seven were upregulated (p-value < 0.05, false discovery rate p-value (qFDR) < 0.1). Only one EV-miRNA (hsa-miR-221-3p) was downregulated after short-term variations. The identified PM-modulated EV-miRNAs exhibited putative roles in inflammation, gestational hypertension, and pre-eclampsia, as highlighted by miRNA target analysis. Our findings strongly support the hypothesis that EVs have an important role in modulating PM exposure effects during pregnancy, possibly through their miRNA cargo., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)- Published
- 2022
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39. PCSK9 Confers Inflammatory Properties to Extracellular Vesicles Released by Vascular Smooth Muscle Cells.
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Greco MF, Rizzuto AS, Zarà M, Cafora M, Favero C, Solazzo G, Giusti I, Adorni MP, Zimetti F, Dolo V, Banfi C, Ferri N, Sirtori CR, Corsini A, Barbieri SS, Pistocchi A, Bollati V, Macchi C, and Ruscica M
- Subjects
- Animals, Humans, Muscle, Smooth, Vascular metabolism, Zebrafish metabolism, Endothelial Cells metabolism, Myocytes, Smooth Muscle metabolism, Proprotein Convertase 9 metabolism, Extracellular Vesicles metabolism
- Abstract
Vascular smooth muscle cells (VSMCs) are key participants in both early- and late-stage atherosclerosis and influence neighbouring cells possibly by means of bioactive molecules, some of which are packed into extracellular vesicles (EVs). Proprotein convertase subtilisin/kexin type 9 (PCSK9) is expressed and secreted by VSMCs. This study aimed to unravel the role of PCSK9 on VSMCs-derived EVs in terms of content and functionality. EVs were isolated from human VSMCs overexpressing human PCSK9 (VSMC
PCSK9 -EVs) and tested on endothelial cells, monocytes, macrophages and in a model of zebrafish embryos. Compared to EVs released from wild-type VSMCs, VSMCPCSK9 -EVs caused a rise in the expression of adhesion molecules in endothelial cells and of pro-inflammatory cytokines in monocytes. These acquired an increased migratory capacity, a reduced oxidative phosphorylation and secreted proteins involved in immune response and immune effector processes. Concerning macrophages, VSMCPCSK9 -EVs enhanced inflammatory milieu and uptake of oxidized low-density lipoproteins, whereas the migratory capacity was reduced. When injected into zebrafish embryos, VSMCPCSK9 -EVs favoured the recruitment of macrophages toward the site of injection. The results of the present study provide evidence that PCSK9 plays an inflammatory role by means of EVs, at least by those derived from smooth muscle cells of vascular origin.- Published
- 2022
- Full Text
- View/download PDF
40. Digital RT-PCR Chip method for detection of SARS-CoV-2 virus.
- Author
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Dioni L, Orlandi A, Uceda Renteria S, Favero C, Solazzo G, Oggioni M, and Bollati V
- Subjects
- COVID-19 Testing, Humans, RNA, Viral analysis, RNA, Viral genetics, Real-Time Polymerase Chain Reaction methods, Reverse Transcriptase Polymerase Chain Reaction, Sensitivity and Specificity, COVID-19 diagnosis, SARS-CoV-2 genetics
- Abstract
The "gold standard" method for detection of SARS-CoV-2 is the real time reverse transcription-polymerase chain reaction, but due to pre-analytical and technical limitations, biological samples with low viral load are not sometimes detected. For this purpose a digital RT-PCR method on-chip was developed for detection of the SARS-CoV-2 virus, using two TaqMan™ Assays for quantification of the N Protein (Nucleocapsid) and the S Protein (Spike), and the QuantStudio™ 3D Digital PCR instrument. The method was applied to assess the nasopharyngeal swabs of asymptomatic subjects recruited in the UNICORN Study. The digital RT-PCR method is characterized by a higher sensitivity than the RT-qPCR method, even if performed with the same TaqMan™, and could be a promising tool for SARS-CoV-2 viral load quantification., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)
- Published
- 2022
- Full Text
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41. Brain-Derived Neurotrophic Factor and Extracellular Vesicle-Derived miRNAs in an Italian Cohort of Individuals With Obesity: A Key to Explain the Link Between Depression and Atherothrombosis.
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Amadio P, Macchi C, Favero C, Zarà M, Solazzo G, Dioni L, Sandrini L, Vigna L, Greco MF, Buoli M, Sirtori CR, Pesatori AC, Ieraci A, Ruscica M, Barbieri SS, and Bollati V
- Abstract
Background: Obesity and depression are intertwined diseases often associated with an increased risk of cardiovascular (CV) complications. Brain-Derived Neurotrophic Factor (BDNF), altered in the brain both of subjects with depression and obesity, provides a potential link between depression and thrombosis. Since the relationship among peripheral BDNF, depression and obesity is not well-defined, the aim of the present report has been to address this issue taking advantage of the contribution played by extracellular vesicle (EV)-derived miRNAs., Research Process: Associations among circulating BDNF, depression and EV-derived miRNAs related to atherothrombosis have been evaluated in a large Italian cohort of obese individuals ( n = 743), characterized by the Beck Depression Inventory (BDI-II) score., Results: BDI-II was negatively associated with BDNF levels without a significant impact of the rs6265 BDNF polymorphism; this association was modified by raised levels of IFN-γ. BDNF levels were linked to an increase of 80 EV-derived miRNAs and a decrease of 59 miRNAs related to atherosclerosis and thrombosis. Network analysis identified at least 18 genes targeted by these miRNAs, 7 of which involved in depression and CV risk. The observation of a possible link among BDNF, depression, and miRNAs related to atherothrombosis and depression in obesity is novel and may lead to a wider use of BDNF as a CV risk biomarker in this specific subject group., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Amadio, Macchi, Favero, Zarà, Solazzo, Dioni, Sandrini, Vigna, Greco, Buoli, Sirtori, Pesatori, Ieraci, Ruscica, Barbieri and Bollati.)
- Published
- 2022
- Full Text
- View/download PDF
42. Nasopharyngeal Bacterial Microbiota Composition and SARS-CoV-2 IgG Antibody Maintenance in Asymptomatic/Paucisymptomatic Subjects.
- Author
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Ferrari L, Favero C, Solazzo G, Mariani J, Luganini A, Ferraroni M, Montomoli E, Milani GP, and Bollati V
- Subjects
- Antibodies, Viral, Humans, Immunoglobulin G, Nasopharynx, RNA, Viral genetics, SARS-CoV-2, COVID-19, Microbiota
- Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the coronavirus disease 2019 (COVID-19), ranging from asymptomatic conditions to severe/fatal lung injury and multi-organ failure. Growing evidence shows that the nasopharyngeal microbiota composition may predict the severity of respiratory infections and may play a role in the protection from viral entry and the regulation of the immune response to the infection. In the present study, we have characterized the nasopharyngeal bacterial microbiota (BNM) composition and have performed factor analysis in a group of 54 asymptomatic/paucisymptomatic subjects who tested positive for nasopharyngeal swab SARS-CoV-2 RNA and/or showed anti-RBD-IgG positive serology at the enrolment. We investigated whether BNM was associated with SARS-CoV-2 RNA positivity and serum anti-RBD-IgG antibody development/maintenance 20-28 weeks after the enrolment. Shannon's entropy α-diversity index [odds ratio (OR) = 5.75, p = 0.0107] and the BNM Factor1 (OR = 2.64, p = 0.0370) were positively associated with serum anti-RBD-IgG antibody maintenance. The present results suggest that BNM composition may influence the immunological memory against SARS-CoV-2 infections. To the best of our knowledge, this is the first study investigating the link between BNM and specific IgG antibody maintenance. Further studies are needed to unveil the mechanisms through which the BNM influences the adaptive immune response against viral infections., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Ferrari, Favero, Solazzo, Mariani, Luganini, Ferraroni, Montomoli, Milani, Bollati and UNICORN Consortium.)
- Published
- 2022
- Full Text
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43. Associations Among PCSK9 Levels, Atherosclerosis-Derived Extracellular Vesicles, and Their miRNA Content in Adults With Obesity.
- Author
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Macchi C, Greco MF, Favero C, Dioni L, Cantone L, Hoxha M, Vigna L, Solazzo G, Corsini A, Banach M, Pesatori AC, Bollati V, and Ruscica M
- Abstract
Background: Extracellular vesicles (EV) concentration is generally increased in patients with cardiovascular diseases, although the protective role of EVs in atherosclerosis has been reported. Among the specific cargo of EVs, miRNAs contribute to different stages of atherosclerosis. Aim of the present report has been to investigate, in individuals with obesity, the interplay among EVs derived from cells relevant for the atherosclerotic process (i.e., platelets, endothelium, monocytes/macrophages, and neutrophils), their miRNA content and proprotein convertase subtilisin/kexin type 9 (PCSK9), one of the main regulators of low-density lipoprotein receptor (LDLR). Methods and Results: EVs have been isolated from 936 individuals with obesity (body mass index = 33.6 ± 5.6 Kg/m
2 ) and a raised cardiovascular risk (e.g., LDL-C = 131.6 ± 36.4 mg/dL, HOMA-IR = 3.1, and roughly 50% on anti-hypertensive medications). PCSK9 levels were negatively associated with EV count in the range 150-400 nm and with those derived from macrophages (CD14+ ), endothelium (CD105+ ), and neutrophils (CD66+ ). The association between PCSK9 and platelet-derived EVs (CD61+ ) was modified by platelet counts. PCSK9 was significantly associated with five EV-derived miRNAs (hsa-miRNA-362-5p,-150,-1244,-520b-3p,-638). Toll-like receptor 4 and estrogen receptor 1 were targeted by all five miRNAs and LDLR by four. The effect on LDLR expression is mainly driven by hsa-miR-150. Considering the implication of EV in atherosclerosis onset and progression, our findings show a potential role of PCSK9 to regulate EV-derived miRNAs, especially those involved in inflammation and expression of low-density lipoprotein receptor (LDLR) receptor., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer PM declared a shared affiliation, with one of the authors LV to the handling editor at the time of the review., (Copyright © 2022 Macchi, Greco, Favero, Dioni, Cantone, Hoxha, Vigna, Solazzo, Corsini, Banach, Pesatori, Bollati and Ruscica.)- Published
- 2022
- Full Text
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44. Extracellular Vesicles: Footprints of environmental exposures in the aging process?
- Author
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Monti P, Solazzo G, Ferrari L, and Bollati V
- Subjects
- Aging, Cell Communication, Environmental Exposure, Humans, Extracellular Vesicles, MicroRNAs
- Abstract
Purpose of the Review: Extracellular vesicles (EVs) are nano-sized lipid particles that participate in intercellular signaling through the trafficking of bioactive molecules from parental cells to recipient ones. This well-orchestrated communication system is crucial for the organism to respond to external cues in a coordinated manner; indeed, environmental and lifestyle exposures can modify both EV number and content, with consequences on cellular metabolism and homeostasis. In particular, a growing body of evidence suggests that exposome-induced changes in EV profile could regulate the aging process, both at the cellular and organismal levels. Here, we provide an overview of the role played by ambient-induced EVs on aging and age-related diseases. Among the several environmental factors that can affect the communication network operated by EVs, we focused on air pollution, ultraviolet light, diet, and physical exercise. Moreover, we performed a miRNA target analysis, to support the role of EV-miRNA emerging from the literature in the context of aging., Recent Findings: The overall emerging picture strongly supports a key regulatory role for EVs at the interface between external stimuli and cellular/organismal aging, thus providing novel insights into the molecular mechanisms linking a "healthy exposome" to well-being in old age. In addition, this knowledge will pave the way for research aimed at developing innovative antiaging strategies based on EVs., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
- Published
- 2021
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45. Particulate Matter Exposure and Allergic Rhinitis: The Role of Plasmatic Extracellular Vesicles and Bacterial Nasal Microbiome.
- Author
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Mariani J, Iodice S, Cantone L, Solazzo G, Marraccini P, Conforti E, Bulsara PA, Lombardi MS, Howlin RP, Bollati V, and Ferrari L
- Subjects
- Bacteria, Humans, Particulate Matter analysis, Particulate Matter toxicity, Extracellular Vesicles, Microbiota, Rhinitis, Allergic
- Abstract
Particulate matter (PM) exposure is linked to the worsening of respiratory conditions, including allergic rhinitis (AR), as it can trigger nasal and systemic inflammation. To unveil the underlying molecular mechanisms, we investigated the effects of PM exposure on the release of plasmatic extracellular vesicles (EV) and on the complex cross-talk between the host and the nasal microbiome. To this aim, we evaluated the effects of PM
10 and PM2.5 exposures on both the bacteria-derived-EV portion (bEV) and the host-derived EVs (hEV), as well as on bacterial nasal microbiome (bNM) features in 26 AR patients and 24 matched healthy subjects (HS). In addition, we assessed the role exerted by the bNM as a modifier of PM effects on the complex EV signaling network in the paradigmatic context of AR. We observed that PM exposure differently affected EV release and bNM composition in HS compared to AR, thus potentially contributing to the molecular mechanisms underlying AR. The obtained results represent the first step towards the understanding of the complex signaling network linking external stimuli, bNM composition, and the immune risponse.- Published
- 2021
- Full Text
- View/download PDF
46. The association between prenatal concentrations of polybrominated diphenyl ether and child cognitive and psychomotor function.
- Author
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Solazzo G, Wu H, Laue HE, Brennan K, Knox JM, Gillet V, Bovin A, Abdelouahab N, Posner J, Raffanello E, Pieper S, Bowman FD, Drake D, Baccarelli AA, and Takser L
- Abstract
Previous studies suggest a negative association between prenatal polybrominated diphenyl ethers (PBDEs) exposure and child cognitive and psychomotor development. However, the timing of the relationship between PBDE exposure and neurodevelopment is still unclear. We examined the association between PBDE concentration at two different prenatal times (early and late pregnancy) and cognitive function in children 6-8 years of age., Methods: Eight hundred pregnant women were recruited between 2007 and 2009 from Sherbrooke, Canada. Four PBDE congeners (BDE-47, -99, -100, and -153) were measured in maternal plasma samples collected during early pregnancy (12 weeks of gestation) and at delivery. At 6-8 years of age, 355 children completed a series of subtests spanning multiple neuropsychologic domains: verbal and memory skills were measured using the Wechsler Intelligence Scale for Children, Fourth Edition; visuospatial processing using both Wechsler Intelligence Scale for Children, Fourth Edition and Neuropsychological Assessment second edition; and attention was assessed through the Test of Everyday Attention for Children. Additionally, parents completed subtests from the Developmental Coordination Disorder Questionnaire to measure child motor control. We used linear regression and quantile g-computation models to estimate associations of PBDE congener concentrations and psychologic test scores., Results: In our models, no significant associations were detected between PBDE mixture and any of the child psychologic scores. BDE-99 concentration at delivery was nominally associated with higher scores on short-term and working memory while a decrease in spatial perception and reasoning was nominally associated with higher BDE-100 concentration at delivery., Conclusion: Overall, our results did not show a significant association between PBDEs and child cognitive and motor development., Competing Interests: The authors declare that they have no conflicts of interest with regard to the content of this report., (Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved.)
- Published
- 2021
- Full Text
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47. Cord blood androgen levels of females from same sex and opposite sex twins - A pilot study.
- Author
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Galiano V, Solazzo G, Rabinovici J, Nahid F, Rina H, Baccarelli AA, and Machtinger R
- Subjects
- Female, Humans, Male, Pilot Projects, Pregnancy, Prospective Studies, Sex Hormone-Binding Globulin, Testosterone, Twins, Dizygotic, Androgens, Fetal Blood
- Abstract
Objective: Opposite-sex twins have shown behavioural and reproductive differences between females and males. These differences may be determined by higher intrauterine levels of androgens among females that were exposed to a male co-twin. The aim of this study was to compare cord blood androgen levels in females from same-sex and opposite-sex twins., Design: A prospective study. In this pilot study, we compared cord blood androgens (DHEA-S, Δ-4 androstenedione, total testosterone-TT) and sex hormone-binding globulin (SHBG) levels in 20 females from same sex and 20 females from opposite-sex dichorionic diamniotic twins. We used generalized estimating equation (GEE) modelling to assess differences in cord blood androgens between females from same-sex twin pregnancies and females from opposite-sex twin pregnancies., Patients: Twenty opposite-sex twin pairs (female-male twins) and 20 same-sex twin pairs (female-female)., Measurements: Cord blood total testosterone, Δ-4 androstenedione, DHEA-S and sex hormone-binding globulin (SHBG) levels., Results: No difference in the levels of androgens as Δ-4 androstenedione, total testosterone and SHBG was identified between females that were exposed to a female co-twin compared with females that were exposed to a male co-twin. DHEA-S levels were significantly lower among females from opposite-sex twins compared with females from same-sex twins., Conclusions: Our preliminary data do not support the hypothesis that females exposed to male co-twins are exposed to higher levels of androgens in utero compared with females exposed to female co-twins. Further studies are needed to explain the reported behavioural and reproductive differences among opposite-sex twins., (© 2020 John Wiley & Sons Ltd.)
- Published
- 2021
- Full Text
- View/download PDF
48. [Influence of ketoaldehyde derivatives of biphenyl on the dynamics of viral infections in monolayer cell cultures. II. On the activity of xenalamine on the dynamics of infection by type I (Brunhilde) poliomyelitis virus].
- Author
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CORAGGIO F, GALEOTA C, and SOLAZZO G
- Subjects
- Biphenyl Compounds pharmacology, Poliomyelitis, Poliovirus pharmacology, Virus Diseases, para-Aminobenzoates
- Published
- 1960
49. [On the presence of a salivary factor inducing panagglutination of erythrocytes in subjects with viral hepatitis].
- Author
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CORAGGIO F, VALOROSO L, GALEOTA C, and SOLAZZO G
- Subjects
- Humans, Erythrocytes, Hemagglutination, Hemagglutination Tests, Hepatitis, Hepatitis A blood, Hepatitis, Viral, Human, Saliva
- Published
- 1960
50. [Influence of cortisone-type steroids on the cytopathogenic activity of viruses in tissue culture. II. Study of the effect of prednisolone on the cytopathogenic activity of the measles virus (Edmonston strain)].
- Author
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CORAGGIO F, VALOROSO L, SOLAZZO G, and GALEOTA C
- Subjects
- Humans, Cortisone, Measles virology, Measles virus, Prednisolone pharmacology, Steroids, Viruses
- Published
- 1960
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