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2. Idiopathic noncirrhotic portal hypertension: current perspectives

Author

Riggio O, Gioia S, Pentassuglio I, Nicoletti V, Valente M, and d’Amati G

Subjects
Idiopathic portal hypertension, Obliterative portal venopathy, Oesophageal varices, Splenomegaly, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Oliviero Riggio,1 Stefania Gioia,1 Ilaria Pentassuglio,1 Valeria Nicoletti,1 Michele Valente,2 Giulia d’Amati2 1Department of Clinical Medicine, Center for the Diagnosis and Treatment of Portal Hypertension, 2Department of Radiological, Oncological, and Pathological Sciences, Sapienza University of Rome, Rome, Italy Abstract: The term idiopathic noncirrhotic portal hypertension (INCPH) has been recently proposed to replace terms, such as hepatoportal sclerosis, idiopathic portal hypertension, incomplete septal cirrhosis, and nodular regenerative hyperplasia, used to describe patients with a hepatic presinusoidal cause of portal hypertension of unknown etiology, characterized by features of portal hypertension (esophageal varices, nonmalignant ascites, porto-venous collaterals), splenomegaly, patent portal, and hepatic veins and no clinical and histological signs of cirrhosis. Physicians should learn to look for this condition in a number of clinical settings, including cryptogenic cirrhosis, a disease known to be associated with INCPH, drug administration, and even chronic alterations in liver function tests. Once INCPH is clinically suspected, liver histology becomes mandatory for the correct diagnosis. However, pathologists should be familiar with the histological features of INCPH, especially in cases in which histology is not only requested to exclude liver cirrhosis. Keywords: idiopathic portal hypertension, obliterative portal venopathy, esophageal varices, splenomegaly

Published
2016

6. Some Considerations on the Expected Resonance Frequencies of Bridges During Proof Load Tests

Author

Carbonari, S., Martini, R., Nicoletti, V., Arezzo, D., Gara, F., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Pellegrino, Carlo, editor, Faleschini, Flora, editor, Zanini, Mariano Angelo, editor, Matos, José C., editor, Casas, Joan R., editor, and Strauss, Alfred, editor

Published
2022
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8. Metabolismo del tessuto nervoso

Author

Fabio Altieri F., Baldanzi G., Borriello A., Cacciapuoti G., Caraglia M., Chiellini G., D’Andrea G., Della Ragione F., Di Domenico F., Di Liegro I., Eufemi M., Ghelardoni S., Giovane A., Lauricella M., Lupo G., Mei G., Nicoletti V.G., Palestini P.N., Pignatti C., Porcelli M., Valli M., D'Andrea, G, Fabio Altieri, F, Baldanzi, G, Borriello, A, Cacciapuoti, G, Caraglia, M, Chiellini, G, D’Andrea, G, Della Ragione, F, Di Domenico, F, Di Liegro, I, Eufemi, M, Ghelardoni, S, Giovane, A, Lauricella, M, Lupo, G, Mei, G, Nicoletti, V, Palestini, P, Pignatti, C, Porcelli, M, Valli, M, Fabio Altieri F., Baldanzi G., Borriello A., Cacciapuoti G., Caraglia M., Chiellini G., D’Andrea G., Della Ragione F., Di Domenico F., Di Liegro I., Eufemi M., Ghelardoni S., Giovane A., Lauricella M., Lupo G., Mei G., Nicoletti V. G., Palestini P. N., Pignatti C., Porcelli M., Valli M., Fabio Altieri F., Baldanzi G., Borriello A., Cacciapuoti G., Caraglia M., Chiellini G., D’Andrea G., Della Ragione F., Di Domenico F., Di Liegro I., Eufemi M., Ghelardoni S., Giovane A., Lauricella M., Lupo G., Mei G., Nicoletti V.G., Palestini P.N., Pignatti C., Porcelli M., Valli M., D'Andrea, G, Fabio Altieri, F, Baldanzi, G, Borriello, A, Cacciapuoti, G, Caraglia, M, Chiellini, G, D’Andrea, G, Della Ragione, F, Di Domenico, F, Di Liegro, I, Eufemi, M, Ghelardoni, S, Giovane, A, Lauricella, M, Lupo, G, Mei, G, Nicoletti, V, Palestini, P, Pignatti, C, Porcelli, M, Valli, M, Fabio Altieri F., Baldanzi G., Borriello A., Cacciapuoti G., Caraglia M., Chiellini G., D’Andrea G., Della Ragione F., Di Domenico F., Di Liegro I., Eufemi M., Ghelardoni S., Giovane A., Lauricella M., Lupo G., Mei G., Nicoletti V. G., Palestini P. N., Pignatti C., Porcelli M., and Valli M.

Published
2023

9. Metabolismo del tessuto muscolare

Author

Fabio Altieri F., Baldanzi G., Borriello A., Cacciapuoti G., Caraglia M., Chiellini G., D’Andrea G., Della Ragione F., Di Domenico F., Di Liegro I., Eufemi M., Ghelardoni S., Giovane A., Lauricella M., Lupo G., Mei G., Nicoletti V.G., Palestini P.N., Pignatti C., Porcelli M., Valli M., D'Andrea, G, Fabio Altieri, F, Baldanzi, G, Borriello, A, Cacciapuoti, G, Caraglia, M, Chiellini, G, D’Andrea, G, Della Ragione, F, Di Domenico, F, Di Liegro, I, Eufemi, M, Ghelardoni, S, Giovane, A, Lauricella, M, Lupo, G, Mei, G, Nicoletti, V, Palestini, P, Pignatti, C, Porcelli, M, Valli, M, Fabio Altieri F., Baldanzi G., Borriello A., Cacciapuoti G., Caraglia M., Chiellini G., D’Andrea G., Della Ragione F., Di Domenico F., Di Liegro I., Eufemi M., Ghelardoni S., Giovane A., Lauricella M., Lupo G., Mei G., Nicoletti V. G., Palestini P. N., Pignatti C., Porcelli M., Valli M., Fabio Altieri F., Baldanzi G., Borriello A., Cacciapuoti G., Caraglia M., Chiellini G., D’Andrea G., Della Ragione F., Di Domenico F., Di Liegro I., Eufemi M., Ghelardoni S., Giovane A., Lauricella M., Lupo G., Mei G., Nicoletti V.G., Palestini P.N., Pignatti C., Porcelli M., Valli M., D'Andrea, G, Fabio Altieri, F, Baldanzi, G, Borriello, A, Cacciapuoti, G, Caraglia, M, Chiellini, G, D’Andrea, G, Della Ragione, F, Di Domenico, F, Di Liegro, I, Eufemi, M, Ghelardoni, S, Giovane, A, Lauricella, M, Lupo, G, Mei, G, Nicoletti, V, Palestini, P, Pignatti, C, Porcelli, M, Valli, M, Fabio Altieri F., Baldanzi G., Borriello A., Cacciapuoti G., Caraglia M., Chiellini G., D’Andrea G., Della Ragione F., Di Domenico F., Di Liegro I., Eufemi M., Ghelardoni S., Giovane A., Lauricella M., Lupo G., Mei G., Nicoletti V. G., Palestini P. N., Pignatti C., Porcelli M., and Valli M.

Published
2023

10. Chest CT opportunistic biomarkers for phenotyping high-risk COVID-19 patients: a retrospective multicentre study

Author

Palmisano, A, Gnasso, C, Cereda, A, Vignale, D, Leone, R, Nicoletti, V, Barbieri, S, Toselli, M, Giannini, F, Loffi, M, Patelli, G, Monello, A, Iannopollo, G, Ippolito, D, Mancini, E, Pontone, G, Vignali, L, Scarnecchia, E, Iannaccone, M, Baffoni, L, Spernadio, M, de Carlini, C, Sironi, S, Rapezzi, C, Esposito, A, Palmisano A., Gnasso C., Cereda A., Vignale D., Leone R., Nicoletti V., Barbieri S., Toselli M., Giannini F., Loffi M., Patelli G., Monello A., Iannopollo G., Ippolito D., Mancini E. M., Pontone G., Vignali L., Scarnecchia E., Iannaccone M., Baffoni L., Spernadio M., de Carlini C. C., Sironi S., Rapezzi C., Esposito A., Palmisano, A, Gnasso, C, Cereda, A, Vignale, D, Leone, R, Nicoletti, V, Barbieri, S, Toselli, M, Giannini, F, Loffi, M, Patelli, G, Monello, A, Iannopollo, G, Ippolito, D, Mancini, E, Pontone, G, Vignali, L, Scarnecchia, E, Iannaccone, M, Baffoni, L, Spernadio, M, de Carlini, C, Sironi, S, Rapezzi, C, Esposito, A, Palmisano A., Gnasso C., Cereda A., Vignale D., Leone R., Nicoletti V., Barbieri S., Toselli M., Giannini F., Loffi M., Patelli G., Monello A., Iannopollo G., Ippolito D., Mancini E. M., Pontone G., Vignali L., Scarnecchia E., Iannaccone M., Baffoni L., Spernadio M., de Carlini C. C., Sironi S., Rapezzi C., and Esposito A.

Abstract

Objective: To assess the value of opportunistic biomarkers derived from chest CT performed at hospital admission of COVID-19 patients for the phenotypization of high-risk patients. Methods: In this multicentre retrospective study, 1845 consecutive COVID-19 patients with chest CT performed within 72 h from hospital admission were analysed. Clinical and outcome data were collected by each center 30 and 80 days after hospital admission. Patients with unknown outcomes were excluded. Chest CT was analysed in a single core lab and behind pneumonia CT scores were extracted opportunistic data about atherosclerotic profile (calcium score according to Agatston method), liver steatosis (≤ 40 HU), myosteatosis (paraspinal muscle F < 31.3 HU, M < 37.5 HU), and osteoporosis (D12 bone attenuation < 134 HU). Differences according to treatment and outcome were assessed with ANOVA. Prediction models were obtained using multivariate binary logistic regression and their AUCs were compared with the DeLong test. Results: The final cohort included 1669 patients (age 67.5 [58.5–77.4] yo) mainly men 1105/1669, 66.2%) and with reduced oxygen saturation (92% [88–95%]). Pneumonia severity, high Agatston score, myosteatosis, liver steatosis, and osteoporosis derived from CT were more prevalent in patients with more aggressive treatment, access to ICU, and in-hospital death (always p < 0.05). A multivariable model including clinical and CT variables improved the capability to predict non-critical pneumonia compared to a model including only clinical variables (AUC 0.801 vs 0.789; p = 0.0198) to predict patient death (AUC 0.815 vs 0.800; p = 0.001). Conclusion: Opportunistic biomarkers derived from chest CT can improve the characterization of COVID-19 high-risk patients. Clinical relevance statement: In COVID-19 patients, opportunistic biomarkers of cardiometabolic risk extracted from chest CT improve patient risk stratification. Key Points: • In COVID-19 patients, several i

Published
2023

11. AI-SCoRE (artificial intelligence-SARS CoV2 risk evaluation): a fast, objective and fully automated platform to predict the outcome in COVID-19 patients

Author

Palmisano, A, Vignale, D, Boccia, E, Nonis, A, Gnasso, C, Leone, R, Montagna, M, Nicoletti, V, Bianchi, A, Brusamolino, S, Dorizza, A, Moraschini, M, Veettil, R, Cereda, A, Toselli, M, Giannini, F, Loffi, M, Patelli, G, Monello, A, Iannopollo, G, Ippolito, D, Mancini, E, Pontone, G, Vignali, L, Scarnecchia, E, Iannacone, M, Baffoni, L, Sperandio, M, de Carlini, C, Sironi, S, Rapezzi, C, Antiga, L, Jagher, V, Di Serio, C, Furlanello, C, Tacchetti, C, Esposito, A, Palmisano A., Vignale D., Boccia E., Nonis A., Gnasso C., Leone R., Montagna M., Nicoletti V., Bianchi A. G., Brusamolino S., Dorizza A., Moraschini M., Veettil R., Cereda A., Toselli M., Giannini F., Loffi M., Patelli G., Monello A., Iannopollo G., Ippolito D., Mancini E. M., Pontone G., Vignali L., Scarnecchia E., Iannacone M., Baffoni L., Sperandio M., de Carlini C. C., Sironi S., Rapezzi C., Antiga L., Jagher V., Di Serio C., Furlanello C., Tacchetti C., Esposito A., Palmisano, A, Vignale, D, Boccia, E, Nonis, A, Gnasso, C, Leone, R, Montagna, M, Nicoletti, V, Bianchi, A, Brusamolino, S, Dorizza, A, Moraschini, M, Veettil, R, Cereda, A, Toselli, M, Giannini, F, Loffi, M, Patelli, G, Monello, A, Iannopollo, G, Ippolito, D, Mancini, E, Pontone, G, Vignali, L, Scarnecchia, E, Iannacone, M, Baffoni, L, Sperandio, M, de Carlini, C, Sironi, S, Rapezzi, C, Antiga, L, Jagher, V, Di Serio, C, Furlanello, C, Tacchetti, C, Esposito, A, Palmisano A., Vignale D., Boccia E., Nonis A., Gnasso C., Leone R., Montagna M., Nicoletti V., Bianchi A. G., Brusamolino S., Dorizza A., Moraschini M., Veettil R., Cereda A., Toselli M., Giannini F., Loffi M., Patelli G., Monello A., Iannopollo G., Ippolito D., Mancini E. M., Pontone G., Vignali L., Scarnecchia E., Iannacone M., Baffoni L., Sperandio M., de Carlini C. C., Sironi S., Rapezzi C., Antiga L., Jagher V., Di Serio C., Furlanello C., Tacchetti C., and Esposito A.

Abstract

Purpose: To develop and validate an effective and user-friendly AI platform based on a few unbiased clinical variables integrated with advanced CT automatic analysis for COVID-19 patients’ risk stratification. Material and Methods: In total, 1575 consecutive COVID-19 adults admitted to 16 hospitals during wave 1 (February 16-April 29, 2020), submitted to chest CT within 72 h from admission, were retrospectively enrolled. In total, 107 variables were initially collected; 64 extracted from CT. The outcome was survival. A rigorous AI model selection framework was adopted for models selection and automatic CT data extraction. Model performances were compared in terms of AUC. A web–mobile interface was developed using Microsoft PowerApps environment. The platform was externally validated on 213 COVID-19 adults prospectively enrolled during wave 2 (October 14-December 31, 2020). Results: The final cohort included 1125 patients (292 non-survivors, 26%) and 24 variables. Logistic showed the best performance on the complete set of variables (AUC = 0.839 ± 0.009) as in models including a limited set of 13 and 5 variables (AUC = 0.840 ± 0.0093 and AUC = 0.834 ± 0.007). For non-inferior performance, the 5 variables model (age, sex, saturation, well-aerated lung parenchyma and cardiothoracic vascular calcium) was selected as the final model and the extraction of CT-derived parameters was fully automatized. The fully automatic model showed AUC = 0.842 (95% CI: 0.816–0.867) on wave 1 and was used to build a 0–100 scale risk score (AI-SCoRE). The predictive performance was confirmed on wave 2 (AUC 0.808; 95% CI: 0.7402–0.8766). Conclusions: AI-SCoRE is an effective and reliable platform for automatic risk stratification of COVID-19 patients based on a few unbiased clinical data and CT automatic analysis.

Published
2022

12. The hidden interplay between sex and COVID-19 mortality: the role of cardiovascular calcification

Author

Cereda, A, Toselli, M, Palmisano, A, Vignale, D, Leone, R, Nicoletti, V, Gnasso, C, Mangieri, A, Khokhar, A, Campo, G, Scoccia, A, Bertini, M, Loffi, M, Sergio, P, Andreini, D, Pontone, G, Iannopollo, G, Nannini, T, Ippolito, D, Bellani, G, Patelli, G, Besana, F, Vignali, L, Sverzellati, N, Iannaccone, M, Vaudano, P, Sangiorgi, G, Turchio, P, Monello, A, Tumminello, G, Maggioni, A, Rapezzi, C, Colombo, A, Giannini, F, Esposito, A, Cereda A., Toselli M., Palmisano A., Vignale D., Leone R., Nicoletti V., Gnasso C., Mangieri A., Khokhar A., Campo G., Scoccia A., Bertini M., Loffi M., Sergio P., Andreini D., Pontone G., Iannopollo G., Nannini T., Ippolito D., Bellani G., Patelli G., Besana F., Vignali L., Sverzellati N., Iannaccone M., Vaudano P. G., Sangiorgi G. M., Turchio P., Monello A., Tumminello G., Maggioni A. P., Rapezzi C., Colombo A., Giannini F., Esposito A., Cereda, A, Toselli, M, Palmisano, A, Vignale, D, Leone, R, Nicoletti, V, Gnasso, C, Mangieri, A, Khokhar, A, Campo, G, Scoccia, A, Bertini, M, Loffi, M, Sergio, P, Andreini, D, Pontone, G, Iannopollo, G, Nannini, T, Ippolito, D, Bellani, G, Patelli, G, Besana, F, Vignali, L, Sverzellati, N, Iannaccone, M, Vaudano, P, Sangiorgi, G, Turchio, P, Monello, A, Tumminello, G, Maggioni, A, Rapezzi, C, Colombo, A, Giannini, F, Esposito, A, Cereda A., Toselli M., Palmisano A., Vignale D., Leone R., Nicoletti V., Gnasso C., Mangieri A., Khokhar A., Campo G., Scoccia A., Bertini M., Loffi M., Sergio P., Andreini D., Pontone G., Iannopollo G., Nannini T., Ippolito D., Bellani G., Patelli G., Besana F., Vignali L., Sverzellati N., Iannaccone M., Vaudano P. G., Sangiorgi G. M., Turchio P., Monello A., Tumminello G., Maggioni A. P., Rapezzi C., Colombo A., Giannini F., and Esposito A.

Abstract

Recent clinical and demographical studies on COVID-19 patients have demonstrated that men experience worse outcomes than women. However, in most cases, the data were not stratified according to gender, limiting the understanding of the real impact of gender on outcomes. This study aimed to evaluate the disaggregated in-hospital outcomes and explore the possible interactions between gender and cardiovascular calcifications. Data was derived from the sCORE-COVID-19 registry, an Italian multicentre registry that enrolled COVID-19 patients who had undergone a chest computer tomography scan on admission. A total of 1683 hospitalized patients (mean age 67±14 years) were included. Men had a higher prevalence of cardiovascular comorbidities, a higher pneumonia extension, more coronary calcifications (63% vs.50.9%, p<0.001), and a higher coronary calcium score (391±847 vs. 171±479 mm3, p<0.001). Men experienced a significantly higher mortality rate (24.4% vs. 17%, p=0.001), but the death event tended to occur earlier in women (15±7 vs. 8±7 days, p= 0.07). Non-survivors had a higher coronary, thoracic aorta, and aortic valve calcium score. Female sex, a known independent predictor of a favorable outcome in SARS-CoV2 infection, was not protective in women with a coronary calcification volume greater than 100 mm3. There were significant differences in cardiovascular comorbidities and vascular calcifications between men and women with SARS-CoV2 pneumonia. The differences in outcomes can be at least partially explained by the different cardiovascular profiles. However, women with poor outcomes had the same coronary calcific burden as men. The presumed favorable female sex bias in COVID-19 must therefore be reviewed in the context of comorbidities, especially cardiovascular ones.

Published
2021

13. Impact of clinical and subclinical coronary artery disease as assessed by coronary artery calcium in COVID-19

Author

Scoccia, A, Gallone, G, Cereda, A, Palmisano, A, Vignale, D, Leone, R, Nicoletti, V, Gnasso, C, Monello, A, Khokhar, A, Sticchi, A, Biagi, A, Tacchetti, C, Campo, G, Rapezzi, C, Ponticelli, F, Danzi, G, Loffi, M, Pontone, G, Andreini, D, Casella, G, Iannopollo, G, Ippolito, D, Bellani, G, Patelli, G, Besana, F, Costa, C, Vignali, L, Benatti, G, Iannaccone, M, Vaudano, P, Pacielli, A, De Carlini, C, Maggiolini, S, Bonaffini, P, Senni, M, Scarnecchia, E, Anastasio, F, Colombo, A, Ferrari, R, Esposito, A, Giannini, F, Toselli, M, Scoccia A., Gallone G., Cereda A., Palmisano A., Vignale D., Leone R., Nicoletti V., Gnasso C., Monello A., Khokhar A., Sticchi A., Biagi A., Tacchetti C., Campo G., Rapezzi C., Ponticelli F., Danzi G. B., Loffi M., Pontone G., Andreini D., Casella G., Iannopollo G., Ippolito D., Bellani G., Patelli G., Besana F., Costa C., Vignali L., Benatti G., Iannaccone M., Vaudano P. G., Pacielli A., De Carlini C. C., Maggiolini S., Bonaffini P. A., Senni M., Scarnecchia E., Anastasio F., Colombo A., Ferrari R., Esposito A., Giannini F., Toselli M., Scoccia, A, Gallone, G, Cereda, A, Palmisano, A, Vignale, D, Leone, R, Nicoletti, V, Gnasso, C, Monello, A, Khokhar, A, Sticchi, A, Biagi, A, Tacchetti, C, Campo, G, Rapezzi, C, Ponticelli, F, Danzi, G, Loffi, M, Pontone, G, Andreini, D, Casella, G, Iannopollo, G, Ippolito, D, Bellani, G, Patelli, G, Besana, F, Costa, C, Vignali, L, Benatti, G, Iannaccone, M, Vaudano, P, Pacielli, A, De Carlini, C, Maggiolini, S, Bonaffini, P, Senni, M, Scarnecchia, E, Anastasio, F, Colombo, A, Ferrari, R, Esposito, A, Giannini, F, Toselli, M, Scoccia A., Gallone G., Cereda A., Palmisano A., Vignale D., Leone R., Nicoletti V., Gnasso C., Monello A., Khokhar A., Sticchi A., Biagi A., Tacchetti C., Campo G., Rapezzi C., Ponticelli F., Danzi G. B., Loffi M., Pontone G., Andreini D., Casella G., Iannopollo G., Ippolito D., Bellani G., Patelli G., Besana F., Costa C., Vignali L., Benatti G., Iannaccone M., Vaudano P. G., Pacielli A., De Carlini C. C., Maggiolini S., Bonaffini P. A., Senni M., Scarnecchia E., Anastasio F., Colombo A., Ferrari R., Esposito A., Giannini F., and Toselli M.

Abstract

Background and aims: The potential impact of coronary atherosclerosis, as detected by coronary artery calcium, on clinical outcomes in COVID-19 patients remains unsettled. We aimed to evaluate the prognostic impact of clinical and subclinical coronary artery disease (CAD), as assessed by coronary artery calcium score (CAC), in a large, unselected population of hospitalized COVID-19 patients undergoing non-gated chest computed tomography (CT) for clinical practice. Methods: SARS-CoV 2 positive patients from the multicenter (16 Italian hospitals), retrospective observational SCORE COVID-19 (calcium score for COVID-19 Risk Evaluation) registry were stratified in three groups: (a) “clinical CAD” (prior revascularization history), (b) “subclinical CAD” (CAC >0), (c) “No CAD” (CAC = 0). Primary endpoint was in-hospital mortality and the secondary endpoint was a composite of myocardial infarction and cerebrovascular accident (MI/CVA). Results: Amongst 1625 patients (male 67.2%, median age 69 [interquartile range 58–77] years), 31%, 57.8% and 11.1% had no, subclinical and clinical CAD, respectively. Increasing rates of in-hospital mortality (11.3% vs. 27.3% vs. 39.8%, p < 0.001) and MI/CVA events (2.3% vs. 3.8% vs. 11.9%, p < 0.001) were observed for patients with no CAD vs. subclinical CAD vs clinical CAD, respectively. The association with in-hospital mortality was independent of in-study outcome predictors (age, peripheral artery disease, active cancer, hemoglobin, C-reactive protein, LDH, aerated lung volume): subclinical CAD vs. No CAD: adjusted hazard ratio (adj-HR) 2.86 (95% confidence interval [CI] 1.14–7.17, p=0.025); clinical CAD vs. No CAD: adj-HR 3.74 (95% CI 1.21–11.60, p=0.022). Among patients with subclinical CAD, increasing CAC burden was associated with higher rates of in-hospital mortality (20.5% vs. 27.9% vs. 38.7% for patients with CAC score thresholds≤100, 101–400 and > 400, respectively, p < 0.001). The adj-HR per 50 points increase in C

Published
2021

14. Is pleural effusion in COVID-19 interstitial pneumonia related to in-hospital mortality?

Author

Cereda, A, Toselli, M, Palmisano, A, Leone, R, Vignale, D, Nicoletti, V, Campo, G, Monello, A, Ippolito, D, Giannini, F, Esposito, A, Cereda A., Toselli M., Palmisano A., Leone R., Vignale D., Nicoletti V., Campo G., Monello A., Ippolito D., Giannini F., Esposito A., Cereda, A, Toselli, M, Palmisano, A, Leone, R, Vignale, D, Nicoletti, V, Campo, G, Monello, A, Ippolito, D, Giannini, F, Esposito, A, Cereda A., Toselli M., Palmisano A., Leone R., Vignale D., Nicoletti V., Campo G., Monello A., Ippolito D., Giannini F., and Esposito A.

Abstract

The recent severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) pandemic has highlighted the importance of pulmonary computed tomography (CT) for diagnosis and prognostic stratification of this new viral pneumonia. 1370 lung CT scans (performed at the time of admission) of consecutive patients hospitalized for SARS-CoV-2 in Northern Italy during the first epidemic wave were analyzed by a radiological CoreLab. The presence of pleural effusion on pulmonary CT scan was present in 188 patients (13.3% of the population) and identified a population with more comorbidities. Patients with pleural effusion had more cardio-respiratory complications with higher mortality. Pleural effusion was an independent predictor of death on multivariate analysis with an HR of 1.4 (95% confidence interval 1-1.9). Pulmonary CT pleural effusion was an independent predictor of mortality.

Published
2021

15. Dynamic changes of mitral valve annulus geometry at preprocedural CT: relationship with functional classes of regurgitation

Author

Palmisano A., Nicoletti V., Colantoni C., Monti C. B., Pannone L., Vignale D., Darvizeh F., Agricola E., Schaffino S., De Cobelli F., Esposito A., Palmisano, A., Nicoletti, V., Colantoni, C., Monti, C. B., Pannone, L., Vignale, D., Darvizeh, F., Agricola, E., Schaffino, S., De Cobelli, F., and Esposito, A.

Subjects
Mitral valve, Planning techniques, Computed tomography angiography, Heart valve prosthesis, Mitral valve insufficiency
Abstract

Background: We investigated mitral valve annular geometry changes during thecardiac cycle in patients with severe mitral regurgitation (MR) who underwent cardiac computed tomography angiography (CCTA) prior to percutaneous mitral valve replacement or annuloplasty. Methods: Fifty-one patients with severe MR and high surgical risk (Carpentier classification: 3 type I, 16 type II, 16 type IIIa, 16 type IIIb) underwent multiphase electrocardiographically gated (0–90%) CCTA, using a second generation dual-source CT scanner, as pre-procedural planning. Twenty-one patients without MR served as controls. The mitral valve annulus was segmented every 10% step of the R-R interval, according to the D-shaped segmentation model, and differences among groups were analysed by t-test or ANOVA. Results: Mitral annular area and diameters were larger in MR patients compared to controls, particularly in type II. Mitral annular area varied in MR patients throughout the cardiac cycle (mean ± standard deviation of maximum and minimum area 15.6 ± 3.9 cm2versus 13.0 ± 3.5 cm2, respectively; p = 0.001), with greater difference between annular areas versus controls (2.59 ± 1.61 cm2 and 1.98 ± 0.6 cm2, p < 0.001). The largest dimension was found in systolic phases (20–40%) in most of MR patients (n = 27, 53%), independent of Carpentier type (I: n = 1, 33%; II: n = 10, 63%; IIIa: n = 8, 50%; IIIb: n = 8, 50%), andin protodiastolic phases (n = 14, 67%) for the control group. Conclusions: In severe MR, mitral annular area varied significantly throughout the cardiac cycle, with a tendency towards larger dimensions in systole.

Published
2021

16. OC.03.7 ENDOSCOPIC ULTRASOUND-GUIDED ABLATION WITH HYBRIDTHERM PROBE IN ADDITION TO CHEMOTHERAPY VERSUS CHEMOTHERAPY ALONE FOR THE TREATMENT OF LOCALLY ADVANCED OR BORDERLINE RESECTABLE PANCREATIC CANCER: A PHASE II RANDOMIZED CONTROLLED TRIAL

Author

Testoni, S.G.G., primary, Petrone, M.C., additional, Reni, M., additional, Rossi, G., additional, Barbera, M., additional, Nicoletti, V., additional, Gusmini, S., additional, Balzano, G., additional, Linzenbold, W., additional, Enderle, M., additional, Della–Torre, E., additional, De Cobelli, F., additional, Doglioni, C., additional, Falconi, M., additional, Capurso, G., additional, and Arcidiacono, P.G., additional

Published
2021
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17. Coronary and total thoracic calcium scores predict mortality and provides pathophysiologic insights in COVID-19 patients

Author

Giannini, F, Toselli, M, Palmisano, A, Cereda, A, Vignale, D, Leone, R, Nicoletti, V, Gnasso, C, Monello, A, Manfrini, M, Khokhar, A, Sticchi, A, Biagi, A, Turchio, P, Tacchetti, C, Landoni, G, Boccia, E, Campo, G, Scoccia, A, Ponticelli, F, Danzi, G, Loffi, M, Muri, M, Pontone, G, Andreini, D, Mancini, E, Casella, G, Iannopollo, G, Nannini, T, Ippolito, D, Bellani, G, Franzesi, C, Patelli, G, Besana, F, Costa, C, Vignali, L, Benatti, G, Sverzellati, N, Scarnecchia, E, Lombardo, F, Anastasio, F, Iannaccone, M, Vaudano, P, Pacielli, A, Baffoni, L, Gardi, I, Cesini, E, Sperandio, M, Micossi, C, De Carlini, C, Spreafico, C, Maggiolini, S, Bonaffini, P, Iacovoni, A, Sironi, S, Senni, M, Fominskiy, E, De Cobelli, F, Maggioni, A, Rapezzi, C, Ferrari, R, Colombo, A, Esposito, A, Giannini, Francesco, Toselli, Marco, Palmisano, Anna, Cereda, Alberto, Vignale, Davide, Leone, Riccardo, Nicoletti, Valeria, Gnasso, Chiara, Monello, Alberto, Manfrini, Marco, Khokhar, Arif, Sticchi, Alessandro, Biagi, Andrea, Turchio, Piergiorgio, Tacchetti, Carlo, Landoni, Giovanni, Boccia, Edda, Campo, Gianluca, Scoccia, Alessandra, Ponticelli, Francesco, Danzi, Gian Battista, Loffi, Marco, Muri, Margherita, Pontone, Gianluca, Andreini, Daniele, Mancini, Elisabetta Maria, Casella, Gianni, Iannopollo, Gianmarco, Nannini, Tommaso, Ippolito, Davide, Bellani, Giacomo, Franzesi, Camillo Talei, Patelli, Gianluigi, Besana, Francesca, Costa, Claudia, Vignali, Luigi, Benatti, Giorgio, Sverzellati, Nicola, Scarnecchia, Elisa, Lombardo, Francesco Paolo, Anastasio, Fabio, Iannaccone, Mario, Vaudano, Paolo Giacomo, Pacielli, Alberto, Baffoni, Lucio, Gardi, Iljia, Cesini, Elisabetta, Sperandio, Massimiliano, Micossi, Chiara, De Carlini, Caterina Chiara, Spreafico, Cristiano, Maggiolini, Stefano, Bonaffini, Pietro Andrea, Iacovoni, Attilio, Sironi, Sandro, Senni, Michele, Fominskiy, Evgeny, De Cobelli, Francesco, Maggioni, Aldo Pietro, Rapezzi, Claudio, Ferrari, Roberto, Colombo, Antonio, Esposito, Antonio, Giannini, F, Toselli, M, Palmisano, A, Cereda, A, Vignale, D, Leone, R, Nicoletti, V, Gnasso, C, Monello, A, Manfrini, M, Khokhar, A, Sticchi, A, Biagi, A, Turchio, P, Tacchetti, C, Landoni, G, Boccia, E, Campo, G, Scoccia, A, Ponticelli, F, Danzi, G, Loffi, M, Muri, M, Pontone, G, Andreini, D, Mancini, E, Casella, G, Iannopollo, G, Nannini, T, Ippolito, D, Bellani, G, Franzesi, C, Patelli, G, Besana, F, Costa, C, Vignali, L, Benatti, G, Sverzellati, N, Scarnecchia, E, Lombardo, F, Anastasio, F, Iannaccone, M, Vaudano, P, Pacielli, A, Baffoni, L, Gardi, I, Cesini, E, Sperandio, M, Micossi, C, De Carlini, C, Spreafico, C, Maggiolini, S, Bonaffini, P, Iacovoni, A, Sironi, S, Senni, M, Fominskiy, E, De Cobelli, F, Maggioni, A, Rapezzi, C, Ferrari, R, Colombo, A, Esposito, A, Giannini, Francesco, Toselli, Marco, Palmisano, Anna, Cereda, Alberto, Vignale, Davide, Leone, Riccardo, Nicoletti, Valeria, Gnasso, Chiara, Monello, Alberto, Manfrini, Marco, Khokhar, Arif, Sticchi, Alessandro, Biagi, Andrea, Turchio, Piergiorgio, Tacchetti, Carlo, Landoni, Giovanni, Boccia, Edda, Campo, Gianluca, Scoccia, Alessandra, Ponticelli, Francesco, Danzi, Gian Battista, Loffi, Marco, Muri, Margherita, Pontone, Gianluca, Andreini, Daniele, Mancini, Elisabetta Maria, Casella, Gianni, Iannopollo, Gianmarco, Nannini, Tommaso, Ippolito, Davide, Bellani, Giacomo, Franzesi, Camillo Talei, Patelli, Gianluigi, Besana, Francesca, Costa, Claudia, Vignali, Luigi, Benatti, Giorgio, Sverzellati, Nicola, Scarnecchia, Elisa, Lombardo, Francesco Paolo, Anastasio, Fabio, Iannaccone, Mario, Vaudano, Paolo Giacomo, Pacielli, Alberto, Baffoni, Lucio, Gardi, Iljia, Cesini, Elisabetta, Sperandio, Massimiliano, Micossi, Chiara, De Carlini, Caterina Chiara, Spreafico, Cristiano, Maggiolini, Stefano, Bonaffini, Pietro Andrea, Iacovoni, Attilio, Sironi, Sandro, Senni, Michele, Fominskiy, Evgeny, De Cobelli, Francesco, Maggioni, Aldo Pietro, Rapezzi, Claudio, Ferrari, Roberto, Colombo, Antonio, and Esposito, Antonio

Abstract

Background: Coronavirus disease 2019 (COVID-19) has spread worldwide determining dramatic impacts on healthcare systems. Early identification of high-risk parameters is required in order to provide the best therapeutic approach. Coronary, thoracic aorta and aortic valve calcium can be measured from a non-gated chest computer tomography (CT) and are validated predictors of cardiovascular events and all-cause mortality. However, their prognostic role in acute systemic inflammatory diseases, such as COVID-19, has not been investigated. Objectives: The aim was to evaluate the association of coronary artery calcium and total thoracic calcium on in-hospital mortality in COVID-19 patients. Methods: 1093 consecutive patients from 16 Italian hospitals with a positive swab for COVID-19 and an admission chest CT for pneumonia severity assessment were included. At CT, coronary, aortic valve and thoracic aorta calcium were qualitatively and quantitatively evaluated separately and combined together (total thoracic calcium) by a central Core-lab blinded to patients’ outcomes. Results: Non-survivors compared to survivors had higher coronary artery [Agatston (467.76 ​± ​570.92 vs 206.80 ​± ​424.13 ​mm2, p ​< ​0.001); Volume (487.79 ​± ​565.34 vs 207.77 ​± ​406.81, p ​< ​0.001)], aortic valve [Volume (322.45 ​± ​390.90 vs 98.27 ​± ​250.74 mm2, p ​< ​0.001; Agatston 337.38 ​± ​414.97 vs 111.70 ​± ​282.15, p ​< ​0.001)] and thoracic aorta [Volume (3786.71 ​± ​4225.57 vs 1487.63 ​± ​2973.19 mm2, p ​< ​0.001); Agatston (4688.82 ​± ​5363.72 vs 1834.90 ​± ​3761.25, p ​< ​0.001)] calcium values. Coronary artery calcium (HR 1.308; 95% CI, 1.046–1.637, p ​= ​0.019) and total thoracic calcium (HR 1.975; 95% CI, 1.200–3.251, p ​= ​0.007) resulted to be independent predictors of in-hospital mortality. Conclusion: Coronary, aortic valve and thoracic aortic calcium assessment on admission non-gated CT permits to stratify the COVID-19 patients in-hospital mortality risk.

Published
2021

18. Chest CT-derived pulmonary artery enlargement at the admission predicts overall survival in COVID-19 patients: insight from 1461 consecutive patients in Italy

Author

Esposito, A, Palmisano, A, Toselli, M, Vignale, D, Cereda, A, Rancoita, P, Leone, R, Nicoletti, V, Gnasso, C, Monello, A, Biagi, A, Turchio, P, Landoni, G, Gallone, G, Monti, G, Casella, G, Iannopollo, G, Nannini, T, Patelli, G, Di Mare, L, Loffi, M, Sergio, P, Ippolito, D, Sironi, S, Pontone, G, Andreini, D, Mancini, E, Di Serio, C, De Cobelli, F, Ciceri, F, Zangrillo, A, Colombo, A, Tacchetti, C, Giannini, F, Esposito, Antonio, Palmisano, Anna, Toselli, Marco, Vignale, Davide, Cereda, Alberto, Rancoita, Paola Maria Vittoria, Leone, Riccardo, Nicoletti, Valeria, Gnasso, Chiara, Monello, Alberto, Biagi, Andrea, Turchio, Piergiorgio, Landoni, Giovanni, Gallone, Guglielmo, Monti, Giacomo, Casella, Gianni, Iannopollo, Gianmarco, Nannini, Tommaso, Patelli, Gianluigi, Di Mare, Luisa, Loffi, Marco, Sergio, Pietro, Ippolito, Davide, Sironi, Sandro, Pontone, Gianluca, Andreini, Daniele, Mancini, Elisabetta Maria, Di Serio, Clelia, De Cobelli, Francesco, Ciceri, Fabio, Zangrillo, Alberto, Colombo, Antonio, Tacchetti, Carlo, Giannini, Francesco, Esposito, A, Palmisano, A, Toselli, M, Vignale, D, Cereda, A, Rancoita, P, Leone, R, Nicoletti, V, Gnasso, C, Monello, A, Biagi, A, Turchio, P, Landoni, G, Gallone, G, Monti, G, Casella, G, Iannopollo, G, Nannini, T, Patelli, G, Di Mare, L, Loffi, M, Sergio, P, Ippolito, D, Sironi, S, Pontone, G, Andreini, D, Mancini, E, Di Serio, C, De Cobelli, F, Ciceri, F, Zangrillo, A, Colombo, A, Tacchetti, C, Giannini, F, Esposito, Antonio, Palmisano, Anna, Toselli, Marco, Vignale, Davide, Cereda, Alberto, Rancoita, Paola Maria Vittoria, Leone, Riccardo, Nicoletti, Valeria, Gnasso, Chiara, Monello, Alberto, Biagi, Andrea, Turchio, Piergiorgio, Landoni, Giovanni, Gallone, Guglielmo, Monti, Giacomo, Casella, Gianni, Iannopollo, Gianmarco, Nannini, Tommaso, Patelli, Gianluigi, Di Mare, Luisa, Loffi, Marco, Sergio, Pietro, Ippolito, Davide, Sironi, Sandro, Pontone, Gianluca, Andreini, Daniele, Mancini, Elisabetta Maria, Di Serio, Clelia, De Cobelli, Francesco, Ciceri, Fabio, Zangrillo, Alberto, Colombo, Antonio, Tacchetti, Carlo, and Giannini, Francesco

Abstract

Objectives Enlarged main pulmonary artery diameter (MPAD) resulted to be associated with pulmonary hypertension and mortality in a non-COVID-19 setting. The aim was to investigate and validate the association between MPAD enlargement and overall survival in COVID-19 patients. Methods This is a cohort study on 1469 consecutive COVID-19 patients submitted to chest CT within 72 h from admission in seven tertiary level hospitals in Northern Italy, between March 1 and April 20, 2020. Derivation cohort (n = 761) included patients from the first three participating hospitals; validation cohort (n = 633) included patients from the remaining hospitals. CT images were centrally analyzed in a core-lab blinded to clinical data. The prognostic value of MPAD on overall survival was evaluated at adjusted and multivariable Cox's regression analysis on the derivation cohort. The final multivariable model was tested on the validation cohort. Results In the derivation cohort, the median age was 69 (IQR, 58-77) years and 537 (70.6%) were males. In the validation cohort, the median age was 69 (IQR, 59-77) years with 421 (66.5%) males. Enlarged MPAD (>= 31 mm) was a predictor of mortality at adjusted (hazard ratio, HR [95%CI]: 1.741 [1.253-2.418], p < 0.001) and multivariable regression analysis (HR [95%CI]: 1.592 [1.154-2.196], p = 0.005), together with male gender, old age, high creatinine, low well-aerated lung volume, and high pneumonia extension (c-index [95%CI] = 0.826 [0.796-0.851]). Model discrimination was confirmed on the validation cohort (c-index [95%CI] = 0.789 [0.758-0.823]), also using CT measurements from a second reader (c-index [95%CI] = 0.790 [0.753;0.825]). Conclusion Enlarged MPAD (>= 31 mm) at admitting chest CT is an independent predictor of mortality in COVID-19.

Published
2021

27. Influence of emulsification methods and spray drying parameters on the microencapsulation of turmeric oleoresin

Author

Ferreira, S. [UNESP], Piovanni, G. M.O. [UNESP], Malacrida, C. R. [UNESP], Nicoletti, V. R. [UNESP], and Universidade Estadual Paulista (Unesp)

Subjects
0106 biological sciences, food.ingredient, Curcumin, Sonication, 01 natural sciences, Applied Microbiology and Biotechnology, Gelatin, chemistry.chemical_compound, 0404 agricultural biotechnology, food, Maltodextrin, 010608 biotechnology, Ultrasound, Oleoresin, Curcuma, Solubility, Chromatography, biology, Chemistry, Emulsion, 04 agricultural and veterinary sciences, biology.organism_classification, 040401 food science, Spray drying, Animal Science and Zoology, Encapsulation, Rheology, Agronomy and Crop Science, Food Science
Abstract

Made available in DSpace on 2020-12-12T01:07:26Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-07-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Turmeric (Curcuma longa L.) oleoresin possess valuable phenolic compounds that are susceptible to degradation, and microencapsulation is a powerful technique to increase its stability. Emulsification is a preponderant step in microencapsulation of hydrophobic compounds and physical-chemical properties of the parent emulsion affects effectiveness of spray-drying process and functional properties of the produced microcapsules. The present work aimed to evaluate the influence of emulsion formulation, emulsification methods, and spray-drying operational conditions on the encapsulation efficiency of turmeric oleoresin using maltodextrin/gelatin blends as wall material. The effects of different concentrations of maltodextrin (12 - 31.7 wt %) and gelatin (0.6 - 6 wt %), combined with three methods of emulsification - high shear homogenization with and without emulsifier addition, and sonication - were evaluated regarding emulsion droplet mean diameter and stability. Based on the results, an emulsion formulated with 26 g of maltodextrin and 0.6 g of gelatin per 100 g of emulsion was selected to study the influence of spray drying conditions - drying-air temperature (124 - 190°C), atomization airflow (275 - 536 L h-1), and emulsion feeding flow (1.4 - 8.6 mL min-1) - on encapsulation efficiency, water content, and solubility of turmeric oleoresin microcapsules. Sonication resulted in higher emulsion stability and, although drying-air temperature did not affect significantly the microcapsule properties, the best set of spray drying conditions was drying-air at 160 °C, atomization airflow of 420 L h-1, and emulsion feeding flow of 6 mL min-1. Combinations of higher atomization airflow and lower emulsion feeding flow resulted in lower values of curcumin encapsulation efficiency. São Paulo State University (Unesp) Institute of Biosciences Humanities and Exact Sciences, Cristóvão Colombo Street 2265 São Paulo State University (Unesp) School of Sciences Humanities and Languages, Dom Antônio Avenue 2100 São Paulo State University (Unesp) Institute of Biosciences Humanities and Exact Sciences, Cristóvão Colombo Street 2265 São Paulo State University (Unesp) School of Sciences Humanities and Languages, Dom Antônio Avenue 2100 FAPESP: 2009/16847-7

Published
2019

28. Current research in biotechnology: Exploring the biotech forefront

Author

Andy Wai Kan Yeung a, Nikolay T. Tzvetkov b, c, Vijai K. Gupta d, Subash C. Gupta e, Gorka Orive f, g, h, Günther K. Bonn i, j, Bernd Fiebich k, Anupam Bishayee l, Thomas Efferthm, Jianbo Xiao n, Ana Sanches Silva o, p, Gian Luigi Russo q, Maria Daglia r, Maurizio Battino s, t, Ilkay Erdogan Orhan u, Ferdinando Nicoletti v, Michael Heinrich w, Bharat Bhushan Aggarwal x, Marc Diederich y, Maciej Banachz, Wolfram Weckwerth aa, Rudolf Bauer ac, George Perry ad, Edward A. Bayer ae, Lukas A. Huber af, Jean-Luc Wolfender ah, Robert Verpoorte ai, Francisco A. Macias aj, Michael Wink ak, Marc Stadler al, Simon Gibbons am, Alejandro Cifuentes an, Elena Ibanez an, Gérard Lizard ao, Rolf Müller ap, Michael Ristow ar, and Atanas G. Atanasov aq

Subjects
Research literature, business.industry, lcsh:Biotechnology, Online database, Saccharomyces cerevisiae, Biotechnology, lcsh:TP248.13-248.65, Political science, Escherichia coli, Nanotechnology, Nanoparticles, Biotechnology research, China, business, Metabolic engineering, Bioremediation
Abstract

Biotechnology is an evolving research field that covers a broad range of topics. Here we aimed to evaluate the latest research literature, to identify prominent research themes, major contributors in terms of institutions, countries/regions, and journals. The Web of Science Core Collection online database was searched to retrieve biotechnology articles published since 2017. In total, 12,351 publications were identified and analyzed. Over 8500 institutions contributed to these biotechnology publications, with the top 5 most productive ones scattered over France, China, the United States of America, Spain, and Brazil. Over 140 countries/regions contributed to the biotechnology research literature, led by the United States of America, China, Germany, Brazil, and India. Journal of Bioscience and Bioengineering was the most productive journal in terms of number of publications. Metabolic engineering was among the most prevalent biotechnology study themes, and Escherichia coli and Saccharomyces cerevisiae were frequently used in biotechnology investigations, including the biosynthesis of useful biomolecules, such as myo-inositol (vitamin B8), monoterpenes, adipic acid, astaxanthin, and ethanol. Nanoparticles and nanotechnology were identified too as emerging biotechnology research themes of great significance. Biotechnology continues to evolve and will remain a major driver of societal innovation and development.

Published
2019
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35. Metal signaling and BDNF expression

Author

Naletova, I., La Mendola, D., Pandini, G., Satriano, C., Pietropaolo, A., Gianì, F., Travaglia, A., Nicoletti, V. G., Arena, G., Zimbone, S., Giuffrida, M. L., and Rizzarelli, E.

Published
2018

39. Ubiquitin binds the amyloid β peptide and interferes with its clearance pathways

Author

Bellia, F., primary, Lanza, V., additional, García-Viñuales, S., additional, Ahmed, I. M. M., additional, Pietropaolo, A., additional, Iacobucci, C., additional, Malgieri, G., additional, D'Abrosca, G., additional, Fattorusso, R., additional, Nicoletti, V. G., additional, Sbardella, D., additional, Tundo, G. R., additional, Coletta, M., additional, Pirone, L., additional, Pedone, E., additional, Calcagno, D., additional, Grasso, G., additional, and Milardi, D., additional

Published
2019
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49. Production and characterization of palm oil microcapsules obtained by complex coacervation in gelatin/gum Arabic.

Author

Marfil, P. H. M., Paulo, B. B., Alvim, I. D., and Nicoletti, V. R.

Subjects
PALM oil, COACERVATION, GELATIN, GUM arabic, CAROTENOIDS
Abstract

Abstract: Palm oil is a carotenoid‐rich natural compound, whose microencapsulation by complex coacervation may protect it against adverse conditions, allowing applications in food formulations for nutritional enrichment and natural pigmentation. Besides, since the coacervates are insoluble in acid pH of stomach, this undigested lipid is delivered slowly in the intestinal tract, which can help treatment of metabolic disturbs. Accordingly, this study intended to optimize palm oil microencapsulation by complex coacervation using gelatin and gum Arabic as wall materials. For this purpose, the effects of wall material concentration (WM) (2.5, 5.0, and 7.5% w/v), gelatin:gum Arabic ratio (G:GA) (1:2; 1:1; 2:1), and core:wall material ratio (C:WM) (75, 100, and 125%) on the encapsulation efficiency, particle morphology, and size distribution of microcapsules were investigated. Microencapsulation assays followed a factorial central design and, after coacervation, the microcapsules were freeze‐dried. The highest values of encapsulation efficiency were obtained using G:GA = 1:1 or 2:1 with C:WM = 100%, whereas the WM concentration could vary from 2.5 to 7.5%. High concentrations of WM (7.5%) and G:GA = 2:1 hampered the formation of spherical or oval microcapsules. Microcapsules showed average diameter (D[4.3]) between 97 and 690 µm, with increasing concentration of WM and higher C:WM ratio contributing to formation of larger microcapsules. The G:GA ratio showed the highest influence on the particle size, with the 1:2 ratio resulting in smaller microcapsules. Practical applications: Palm oil is a significant source of antioxidants and other phytonutrients, and its microencapsulation may protect these bioactive compounds, enabling its use to nutritional enrichment of dry food formulations, at the same time as functioning as a natural pigment given the intense reddish‐orange color of the oil. In addition, the microcapsules may slow down palm oil release in the gastrointestinal tract, since the coacervates are insoluble in acid pH of stomach, allowing this nutrient to achieve the ileum before being digested and help treatment of metabolic disturbs. Accordingly, microencapsulation of palm oil can be of great interest for food and pharmaceutical industries to develop controlled‐delivery systems to encapsulate and slow down digestion of lipids, inducing modulation of satiety response. [ABSTRACT FROM AUTHOR]

Published
2018
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