20 results on '"Baroni S. (ORCID:0000-0002-3410-2617)"'
Search Results
2. Predicting Role of GFAP and UCH-L1 biomarkers in Spontaneous Subarachnoid Hemorrhage: a preliminary study to evaluate in the short-term their correlation with severity of bleeding and prognosis
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Auricchio, Anna Maria, Baroni, Silvia, Rezai Jahromi, B., Valz Gris, Angelica, Sturiale, Carmelo Lucio, Ceccarelli, Giovanni Maria, Obersnel, Marco, Menna, Grazia, Martinelli, Renata, Napoli, Giulia, Scarcia, L., Alexandre, Andrea, Caricato, Anselmo, Di Bonaventura, Rina, Albanese, Alessio, Marchese, Enrico, Covino, Marcello, Olivi, Alessandro, Della Pepa, Giuseppe Maria, Auricchio A. M., Baroni S. (ORCID:0000-0002-3410-2617), Valz Gris A., Sturiale C. L. (ORCID:0000-0002-4080-2492), Ceccarelli G. M., Obersnel M., Menna G., Martinelli R., Napoli G., Alexandre A., Caricato A. (ORCID:0000-0001-5929-120X), Di Bonaventura R., Albanese A. (ORCID:0000-0001-8783-2974), Marchese E. (ORCID:0000-0001-8551-0357), Covino M. (ORCID:0000-0002-6709-2531), Olivi A. (ORCID:0000-0002-4489-7564), Della Pepa G. M. (ORCID:0000-0001-8698-3359), Auricchio, Anna Maria, Baroni, Silvia, Rezai Jahromi, B., Valz Gris, Angelica, Sturiale, Carmelo Lucio, Ceccarelli, Giovanni Maria, Obersnel, Marco, Menna, Grazia, Martinelli, Renata, Napoli, Giulia, Scarcia, L., Alexandre, Andrea, Caricato, Anselmo, Di Bonaventura, Rina, Albanese, Alessio, Marchese, Enrico, Covino, Marcello, Olivi, Alessandro, Della Pepa, Giuseppe Maria, Auricchio A. M., Baroni S. (ORCID:0000-0002-3410-2617), Valz Gris A., Sturiale C. L. (ORCID:0000-0002-4080-2492), Ceccarelli G. M., Obersnel M., Menna G., Martinelli R., Napoli G., Alexandre A., Caricato A. (ORCID:0000-0001-5929-120X), Di Bonaventura R., Albanese A. (ORCID:0000-0001-8783-2974), Marchese E. (ORCID:0000-0001-8551-0357), Covino M. (ORCID:0000-0002-6709-2531), Olivi A. (ORCID:0000-0002-4489-7564), and Della Pepa G. M. (ORCID:0000-0001-8698-3359)
- Abstract
Background: Spontaneous non-traumatic subarachnoid hemorrhage (sSAH) is a severe brain vascular accident. Glial fibrillary acidic protein (GFAP) and ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) can be theoretically assayed to predict a patient's progression, picturing different aspects of clinical failure after sSAH. The study aims to: a) explore the correlation between sSAH blood volume and biomarkers variation; b) evaluate if these can be predictive of the neurogenic response after sSAH and be prognostic of patient outcome; c) establish eventual threshold levels of biomarkers to define patients’ clinical outcome. Methods: Blood volumetry at CT scan upon admission, GFAP and UCH-L1 were collected at 24 h, at 72 h, and after 7 days from hemorrhage. Trends and cut-off serum sampling were determined. Clinical outcome was assessed with mRS scale at 14 days. Results: A strong correlation between GFAP and UCH-L1 and blood diffusion volume in all explored serum intervals related to unfavorable outcome. GFAP and UCH-L1 were very early predictors of unfavorable outcomes at 24 h from sSAH (p = 0.002 and 0.011 respectively). Threshold levels of UCH-L1 apparently revealed a very early, early and late predictor of unfavorable outcomes. Conclusion: GFAP and UCH-L1 represent a potential tool for prompt monitoring and customization of therapies in neurosurgical patients.
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- 2024
3. Genetics and Sport Injuries: New Perspectives for Athletic Excellence in an Italian Court of Rugby Union Players
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Onori, Maria Elisabetta, Pasqualetti, Massimo, Moretti, G, Canu, Giulia, De Paolis, G, Baroni, Silvia, Minucci, Angelo, Galvani, Christel, Urbani, Andrea, Onori ME, Pasqualetti M, Canu G, Baroni S (ORCID:0000-0002-3410-2617), Minucci A, Galvani C (ORCID:0000-0002-0126-6033), Urbani A. (ORCID:0000-0001-9168-3174), Onori, Maria Elisabetta, Pasqualetti, Massimo, Moretti, G, Canu, Giulia, De Paolis, G, Baroni, Silvia, Minucci, Angelo, Galvani, Christel, Urbani, Andrea, Onori ME, Pasqualetti M, Canu G, Baroni S (ORCID:0000-0002-3410-2617), Minucci A, Galvani C (ORCID:0000-0002-0126-6033), and Urbani A. (ORCID:0000-0001-9168-3174)
- Published
- 2022
4. The Relationship between ACE, ACTN3 and MCT1 Genetic Polymorphisms and Athletic Performance in Elite Rugby Union Players: A Preliminary Study
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Pasqualetti, Massimo, Onori, Maria Elisabetta, Canu, Giulia, Moretti, G, Minucci, Angelo, Baroni, Silvia, Mordente, Alvaro, Urbani, Andrea, Galvani, Christel, Pasqualetti M, Onori ME, Canu G, Moretti G, Minucci A, Baroni S (ORCID:0000-0002-3410-2617), Mordente A (ORCID:0000-0003-3260-9796), Urbani A (ORCID:0000-0001-9168-3174), Galvani C (ORCID:0000-0002-0126-6033), Pasqualetti, Massimo, Onori, Maria Elisabetta, Canu, Giulia, Moretti, G, Minucci, Angelo, Baroni, Silvia, Mordente, Alvaro, Urbani, Andrea, Galvani, Christel, Pasqualetti M, Onori ME, Canu G, Moretti G, Minucci A, Baroni S (ORCID:0000-0002-3410-2617), Mordente A (ORCID:0000-0003-3260-9796), Urbani A (ORCID:0000-0001-9168-3174), and Galvani C (ORCID:0000-0002-0126-6033)
- Abstract
Athletic performance is influenced by many factors such as the environment, diet, training and endurance or speed in physical effort and by genetic predisposition. Just a few studies have analyzed the impact of genotypes on physical performance in rugby. The aim of this study was to verify the modulation of genetic influence on rugby-specific physical performance. Twenty-seven elite rugby union players were involved in the study during the in-season phase. Molecular genotyping was performed for: angiotensin-converting enzyme (ACE rs4646994), alfa-actinin-3 (ACTN3 rs1815739) and monocarboxylate transporter 1 (MCT1 rs1049434) and their variants. Lean mass index (from skinfolds), lower-limb explosive power (countermovement jump), agility (505), speed (20 m), maximal aerobic power (Yo-yo intermittent recovery test level 1) and repeated sprint ability (12 × 20 m) were evaluated. In our rugby union players ACE and ACTN3 variants did not show any influence on athletic performance. MCT1 analysis showed that TT-variant players had the highest peak vertical power (p = 0.037) while the ones with the AA genotype were the fastest in both agility and sprint tests (p = 0.006 and p = 0.012, respectively). Considering the T-dominant model, the AA genotype remains the fastest in both tests (agility: p = 0.013, speed: p = 0.017). Only the MCT1 rs1049434 A allele seems to be advantageous for elite rugby union players, particularly when power and speed are required
- Published
- 2022
5. An explainable model of host genetic interactions linked to COVID-19 severity
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Onoja, A., Picchiotti, N., Fallerini, C., Baldassarri, M., Fava, F., Mari, F., Daga, S., Benetti, E., Bruttini, M., Palmieri, Marco, Croci, S., Amitrano, S., Meloni, I., Frullanti, E., Doddato, G., Lista, Maddalena, Beligni, G., Valentino, Francesca, Zguro, K., Tita, R., Giliberti, A., Mencarelli, Marta, Rizzo, C. L., Pinto, A. M., Ariani, F., Di Sarno, Lorenzo, Montagnani, F., Tumbarello, Mario, Rancan, I., Fabbiani, M., Rossetti, Barbara, Bergantini, L., D'Alessandro, Michele, Cameli, P., Bennett, D., Anedda, F., Marcantonio, S., Scolletta, S., Franchi, Francesca, Mazzei, M. A., Guerrini, S., Conticini, E., Cantarini, L., Frediani, B., Tacconi, D., Raffaelli, C. S., Feri, M., Donati, Andrea, Scala, R., Guidelli, L., Spargi, G., Corridi, M., Nencioni, C., Croci, L., Caldarelli, G. P., Romani, D., Piacentini, P., Bandini, M., Desanctis, E., Cappelli, S., Canaccini, A., Verzuri, A., Anemoli, V., Pisani, M., Ognibene, A., Pancrazzi, A., Lorubbio, M., Vaghi, M., D'Arminio Monforte, A., Miraglia, F. G., Bruno, R., Vecchia, M., Girardis, M., Venturelli, S., Busani, S., Cossarizza, A., Antinori, Armando, Vergori, A., Emiliozzi, A., Rusconi, S., Siano, M., Gabrieli, A., Riva, A., Francisci, D., Schiaroli, E., Paciosi, F., Tommasi, A., Zuccon, U., Vietri, L., Scotton, P. G., Andretta, F., Panese, S., Baratti, S., Scaggiante, R., Gatti, F., Parisi, S. G., Castelli, F., Quiros-Roldan, E., Antoni, M. D., Zanella, I., Della Monica, M., Piscopo, C., Capasso, Monica, Russo, R., Andolfo, I., Iolascon, A., Fiorentino, Giuseppe, Carella, M., Castori, M., Aucella, F., Raggi, P., Perna, Raffaella, Bassetti, M., Di Biagio, Anna, Sanguinetti, Maurizio, Masucci, Luca, Guarnaccia, A., Valente, S., De Vivo, O., Bargagli, E., Mandala, M., Giorli, A., Salerni, L., Zucchi, P., Parravicini, P., Menatti, E., Trotta, T., Giannattasio, F., Coiro, G., Lena, Francesco, Lacerenza, G., Coviello, D. A., Mussini, C., Martinelli, E., Tavecchia, L., Belli, M. A., Crotti, L., Parati, G., Sanarico, M., Biscarini, F., Stella, A., Rizzi, M., Maggiolo, F., Ripamonti, D., Suardi, C., Bachetti, T., La Rovere, M. T., Sarzi-Braga, S., Bussotti, M., Capitani, K., Dei, S., Ravaglia, S., Artuso, R., Andreucci, E., Gori, Giovanni Cristiano, Pagliazzi, A., Fiorentini, E., Perrella, A., Bianchi, F., Bergomi, P., Catena, E., Colombo, R., Luchi, S., Morelli, G., Petrocelli, Paolo, Iacopini, S., Modica, S., Baroni, Silvia, Segala, F. V., Menichetti, F., Falcone, M., Tiseo, G., Barbieri, Cristiano, Matucci, T., Grassi, D., Ferri, C., Marinangeli, F., Brancati, F., Vincenti, A., Borgo, V., Lombardi, S., Lenzi, M., Di Pietro, Maria Luisa, Vichi, F., Romanin, B., Attala, L., Costa, C., Gabbuti, A., Mene, R., Colaneri, M., Casprini, P., Merla, G., Squeo, G. M., Maffezzoni, M., Mantovani, Susanna, Mondelli, M. U., Ludovisi, S., Colombo, F., Chiaromonte, F., Renieri, A., Furini, S., Raimondi, F., Palmieri M. (ORCID:0000-0001-8263-336X), Lista M., Valentino F., Mencarelli M. A., Di Sarno L., Tumbarello M. (ORCID:0000-0002-9519-8552), Rossetti B., D'Alessandro M., Franchi F., Donati A., Antinori A. (ORCID:0000-0002-6019-2417), Capasso M., Fiorentino G., Perna R., Di Biagio A., Sanguinetti M. (ORCID:0000-0002-9780-7059), Masucci L. (ORCID:0000-0002-8358-6726), Lena F. (ORCID:0000-0001-5528-319X), Gori G. (ORCID:0000-0002-3308-5309), Petrocelli P., Baroni S. (ORCID:0000-0002-3410-2617), Barbieri C., Di Pietro M. A. (ORCID:0000-0002-3893-8788), Mantovani S., Onoja, A., Picchiotti, N., Fallerini, C., Baldassarri, M., Fava, F., Mari, F., Daga, S., Benetti, E., Bruttini, M., Palmieri, Marco, Croci, S., Amitrano, S., Meloni, I., Frullanti, E., Doddato, G., Lista, Maddalena, Beligni, G., Valentino, Francesca, Zguro, K., Tita, R., Giliberti, A., Mencarelli, Marta, Rizzo, C. L., Pinto, A. M., Ariani, F., Di Sarno, Lorenzo, Montagnani, F., Tumbarello, Mario, Rancan, I., Fabbiani, M., Rossetti, Barbara, Bergantini, L., D'Alessandro, Michele, Cameli, P., Bennett, D., Anedda, F., Marcantonio, S., Scolletta, S., Franchi, Francesca, Mazzei, M. A., Guerrini, S., Conticini, E., Cantarini, L., Frediani, B., Tacconi, D., Raffaelli, C. S., Feri, M., Donati, Andrea, Scala, R., Guidelli, L., Spargi, G., Corridi, M., Nencioni, C., Croci, L., Caldarelli, G. P., Romani, D., Piacentini, P., Bandini, M., Desanctis, E., Cappelli, S., Canaccini, A., Verzuri, A., Anemoli, V., Pisani, M., Ognibene, A., Pancrazzi, A., Lorubbio, M., Vaghi, M., D'Arminio Monforte, A., Miraglia, F. G., Bruno, R., Vecchia, M., Girardis, M., Venturelli, S., Busani, S., Cossarizza, A., Antinori, Armando, Vergori, A., Emiliozzi, A., Rusconi, S., Siano, M., Gabrieli, A., Riva, A., Francisci, D., Schiaroli, E., Paciosi, F., Tommasi, A., Zuccon, U., Vietri, L., Scotton, P. G., Andretta, F., Panese, S., Baratti, S., Scaggiante, R., Gatti, F., Parisi, S. G., Castelli, F., Quiros-Roldan, E., Antoni, M. D., Zanella, I., Della Monica, M., Piscopo, C., Capasso, Monica, Russo, R., Andolfo, I., Iolascon, A., Fiorentino, Giuseppe, Carella, M., Castori, M., Aucella, F., Raggi, P., Perna, Raffaella, Bassetti, M., Di Biagio, Anna, Sanguinetti, Maurizio, Masucci, Luca, Guarnaccia, A., Valente, S., De Vivo, O., Bargagli, E., Mandala, M., Giorli, A., Salerni, L., Zucchi, P., Parravicini, P., Menatti, E., Trotta, T., Giannattasio, F., Coiro, G., Lena, Francesco, Lacerenza, G., Coviello, D. A., Mussini, C., Martinelli, E., Tavecchia, L., Belli, M. A., Crotti, L., Parati, G., Sanarico, M., Biscarini, F., Stella, A., Rizzi, M., Maggiolo, F., Ripamonti, D., Suardi, C., Bachetti, T., La Rovere, M. T., Sarzi-Braga, S., Bussotti, M., Capitani, K., Dei, S., Ravaglia, S., Artuso, R., Andreucci, E., Gori, Giovanni Cristiano, Pagliazzi, A., Fiorentini, E., Perrella, A., Bianchi, F., Bergomi, P., Catena, E., Colombo, R., Luchi, S., Morelli, G., Petrocelli, Paolo, Iacopini, S., Modica, S., Baroni, Silvia, Segala, F. V., Menichetti, F., Falcone, M., Tiseo, G., Barbieri, Cristiano, Matucci, T., Grassi, D., Ferri, C., Marinangeli, F., Brancati, F., Vincenti, A., Borgo, V., Lombardi, S., Lenzi, M., Di Pietro, Maria Luisa, Vichi, F., Romanin, B., Attala, L., Costa, C., Gabbuti, A., Mene, R., Colaneri, M., Casprini, P., Merla, G., Squeo, G. M., Maffezzoni, M., Mantovani, Susanna, Mondelli, M. U., Ludovisi, S., Colombo, F., Chiaromonte, F., Renieri, A., Furini, S., Raimondi, F., Palmieri M. (ORCID:0000-0001-8263-336X), Lista M., Valentino F., Mencarelli M. A., Di Sarno L., Tumbarello M. (ORCID:0000-0002-9519-8552), Rossetti B., D'Alessandro M., Franchi F., Donati A., Antinori A. (ORCID:0000-0002-6019-2417), Capasso M., Fiorentino G., Perna R., Di Biagio A., Sanguinetti M. (ORCID:0000-0002-9780-7059), Masucci L. (ORCID:0000-0002-8358-6726), Lena F. (ORCID:0000-0001-5528-319X), Gori G. (ORCID:0000-0002-3308-5309), Petrocelli P., Baroni S. (ORCID:0000-0002-3410-2617), Barbieri C., Di Pietro M. A. (ORCID:0000-0002-3893-8788), and Mantovani S.
- Abstract
We employed a multifaceted computational strategy to identify the genetic factors contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing (WES) dataset of a cohort of 2000 Italian patients. We coupled a stratified k-fold screening, to rank variants more associated with severity, with the training of multiple supervised classifiers, to predict severity based on screened features. Feature importance analysis from tree-based models allowed us to identify 16 variants with the highest support which, together with age and gender covariates, were found to be most predictive of COVID-19 severity. When tested on a follow-up cohort, our ensemble of models predicted severity with high accuracy (ACC = 81.88%; AUCROC = 96%; MCC = 61.55%). Our model recapitulated a vast literature of emerging molecular mechanisms and genetic factors linked to COVID-19 response and extends previous landmark Genome-Wide Association Studies (GWAS). It revealed a network of interplaying genetic signatures converging on established immune system and inflammatory processes linked to viral infection response. It also identified additional processes cross-talking with immune pathways, such as GPCR signaling, which might offer additional opportunities for therapeutic intervention and patient stratification. Publicly available PheWAS datasets revealed that several variants were significantly associated with phenotypic traits such as “Respiratory or thoracic disease”, supporting their link with COVID-19 severity outcome.
- Published
- 2022
6. Mapping of Urinary Volatile Organic Compounds by a Rapid Analytical Method Using Gas Chromatography Coupled to Ion Mobility Spectrometry (GC–IMS)
- Author
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Riccio, G., Baroni, S., Urbani, A., Greco, V., Riccio G., Baroni S. (ORCID:0000-0002-3410-2617), Urbani A. (ORCID:0000-0001-9168-3174), Greco V. (ORCID:0000-0003-4521-0020), Riccio, G., Baroni, S., Urbani, A., Greco, V., Riccio G., Baroni S. (ORCID:0000-0002-3410-2617), Urbani A. (ORCID:0000-0001-9168-3174), and Greco V. (ORCID:0000-0003-4521-0020)
- Abstract
Volatile organic compounds (VOCs) are a differentiated class of molecules, continuously generated in the human body and released as products of metabolic pathways. Their concentrations vary depending on pathophysiological conditions. They are detectable in a wide variety of biological samples, such as exhaled breath, faeces, and urine. In particular, urine represents an easily accessible specimen widely used in clinics. The most used techniques for VOCs detections are expensive and time-consuming, thus not allowing for rapid clinical analysis. In this perspective, the aim of this study is a comprehensive characterisation of the urine volatilome by the development of an alternative rapid analytical method. Briefly, 115 urine samples are collected; sample treatment is not needed. VOCs are detected in the urine headspace using gas chromatography coupled to ion mobility spectrometry (GC-IMS) by an extremely fast analysis (10 min). The method is analytically validated; the analysis is sensitive and robust with results comparable to those reported with other techniques. Twenty-three molecules are identified, including ketones, aldehydes, alcohols, and sulphur compounds, whose concentration is altered in several pathological states such as cancer and metabolic disorders. Therefore, it opens new perspectives for fast diagnosis and screening, showing great potential for clinical applications.
- Published
- 2022
7. VEGF and IL-6 Correlation in POEMS: A Potential Upcoming Marker of Active Disease and Early Autologous BMT Response
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Tomasso, Annamaria, Innocenti, Idanna, Autore, Francesco, Fresa, Alberto, Benintende, G., Vuono, Florenzia, Baroni, Silvia, Giannotta, C., Chiusolo, Patrizia, Sora', Federica, Sica, Simona, Laurenti, Luca, Tomasso A., Innocenti I., Autore F., Fresa A., Vuono F., Baroni S. (ORCID:0000-0002-3410-2617), Chiusolo P. (ORCID:0000-0002-1355-1587), Sora F. (ORCID:0000-0002-9607-5298), Sica S. (ORCID:0000-0003-2426-3465), Laurenti L. (ORCID:0000-0002-8327-1396), Tomasso, Annamaria, Innocenti, Idanna, Autore, Francesco, Fresa, Alberto, Benintende, G., Vuono, Florenzia, Baroni, Silvia, Giannotta, C., Chiusolo, Patrizia, Sora', Federica, Sica, Simona, Laurenti, Luca, Tomasso A., Innocenti I., Autore F., Fresa A., Vuono F., Baroni S. (ORCID:0000-0002-3410-2617), Chiusolo P. (ORCID:0000-0002-1355-1587), Sora F. (ORCID:0000-0002-9607-5298), Sica S. (ORCID:0000-0003-2426-3465), and Laurenti L. (ORCID:0000-0002-8327-1396)
- Abstract
N/A
- Published
- 2022
8. The role of biomarkers in drug-resistant trigeminal neuralgia: a prospective study in patients submitted to surgical treatment
- Author
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Rapisarda, A., Baroni, S., Gentili, V., Moretti, G., Burattini, B., Sarlo, F., Olivi, A., Urbani, A., Montano, N., Rapisarda A., Baroni S. (ORCID:0000-0002-3410-2617), Gentili V., Burattini B., Sarlo F., Olivi A. (ORCID:0000-0002-4489-7564), Urbani A. (ORCID:0000-0001-9168-3174), Montano N. (ORCID:0000-0002-4965-1950), Rapisarda, A., Baroni, S., Gentili, V., Moretti, G., Burattini, B., Sarlo, F., Olivi, A., Urbani, A., Montano, N., Rapisarda A., Baroni S. (ORCID:0000-0002-3410-2617), Gentili V., Burattini B., Sarlo F., Olivi A. (ORCID:0000-0002-4489-7564), Urbani A. (ORCID:0000-0001-9168-3174), and Montano N. (ORCID:0000-0002-4965-1950)
- Abstract
Background: Molecular mechanisms underlying trigeminal neuralgia (TN) have been poorly understood. Recently, different biomarkers have been studied in several chronic neuropathic diseases or in neuronal damage, but their role in TN has not yet been investigated. Here, we firstly analyzed the serum levels of the neuron-specific enolase (NSE) (as an index of neuronal tissue damage) in TN patients submitted to surgical treatment. Different cytokines and interleukins related to inflammation were also studied. Methods: Blood samples from 40 patients were prospectively collected preoperatively and after the surgical procedure, namely microvascular decompression (MVD) and percutaneous balloon compression (PBC). Serum levels of uric acid, NSE, ferritin, CRP, IL-2R, and IL-6 were studied. The acute pain relief (APR) and the pre- and postoperative BNI were used to evaluate the clinical outcome. Results: Overall, we obtained an APR in 87.5% of patients and a significant reduction of BNI after surgery (p < 0.0001). We observed a significant reduction of postoperative NSE values in the group of patients undergoing MVD (p = 0.0055) and a significant increase of postoperative NSE values in patients undergoing PBC (p < 0.05). Furthermore, in the group of patients undergoing MVD, we found a significant postoperative increase of CRP (p < 0.0001), ferritin (p = 0.001), and IL-6 (p = 0.01) values. The only patient who did not respond to MVD had NSE levels unchanged. Conclusion: Our results suggest the hypothesis that TN would be related to the neural damage instead of the systemic inflammatory status and indicate NSE as a possible biomarker of response in patients submitted to MVD.
- Published
- 2022
9. Attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) detection as a rapid and convenient screening test for cystinuria
- Author
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Primiano, A., Persichilli, Silvia, Di Giacinto, Flavio, Ciasca, Gabriele, Baroni, Silvia, Ferraro, Pietro Manuel, De Spirito, Marco, Urbani, Andrea, Gervasoni, Jacopo, Persichilli S. (ORCID:0000-0002-7955-8810), Di Giacinto F. (ORCID:0000-0002-6726-7768), Ciasca G. (ORCID:0000-0002-3694-8229), Baroni S. (ORCID:0000-0002-3410-2617), Ferraro P. M. (ORCID:0000-0002-1379-022X), De Spirito M. (ORCID:0000-0003-4260-5107), Urbani A. (ORCID:0000-0001-9168-3174), Gervasoni J., Primiano, A., Persichilli, Silvia, Di Giacinto, Flavio, Ciasca, Gabriele, Baroni, Silvia, Ferraro, Pietro Manuel, De Spirito, Marco, Urbani, Andrea, Gervasoni, Jacopo, Persichilli S. (ORCID:0000-0002-7955-8810), Di Giacinto F. (ORCID:0000-0002-6726-7768), Ciasca G. (ORCID:0000-0002-3694-8229), Baroni S. (ORCID:0000-0002-3410-2617), Ferraro P. M. (ORCID:0000-0002-1379-022X), De Spirito M. (ORCID:0000-0003-4260-5107), Urbani A. (ORCID:0000-0001-9168-3174), and Gervasoni J.
- Abstract
Background: Cystinuria is an inborn congenital disorder characterised by a defective cystine metabolism resulting in the formation of cystine stones. The Brand's test, used for diagnosis, requires dangerous substances, so has been replaced with high-performance liquid chromatography with fluorimetric detection (HPLC-FL). However, this technique requires the use of complex equipment. Infrared spectroscopy, universally used for stone analysis, recently was employed to detect insoluble cystine in urine. The aim of this study is to evaluate Infrared Spectroscopy combined with chemometric analysis as screening method to identify those patients requiring confirmation by HPLC-FL analysis. Methods: We examined 24 h urine specimens from 57 patients. The quantitative analysis was performed by HPLC-FL. The infrared spectroscopic urine sediment analysis was performed with an ATR accessory (ATR-FTIR). Urine is centrifuged, the supernatant is discarded, and the sediment is dried on to the ATR prism surface. Statistical analysis was performed using a custom-made software developed in MATLAB environment. Results: The HPLC-FL determination showed a normal excretion of cystine in 49 samples and an abnormal excretion in the remaining 8 samples. The ATR-FTIR analysis combined with a statistical approach gives a sensitivity of 1.0 and a specificity of 0.82 were obtained. Conclusions: The introduction of the ATR-FTIR technique in our clinical laboratory setting may reduce time and cost analysis for diagnosis of cystinuria.
- Published
- 2021
10. Impact of bile acids on the severity of laryngo-pharyngeal reflux
- Author
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De Corso, Eugenio, Baroni, Silvia, Salonna, G., Marchese, Maria Raffaella, Graziadio, M., Di Cintio, G., Paludetti, Gaetano, Costamagna, Guido, Galli, Jacopo, De Corso E., Baroni S. (ORCID:0000-0002-3410-2617), Marchese M. (ORCID:0000-0003-0751-0882), Paludetti G. (ORCID:0000-0003-2480-1243), Costamagna G. (ORCID:0000-0002-8100-2731), Galli J. (ORCID:0000-0001-6353-6249), De Corso, Eugenio, Baroni, Silvia, Salonna, G., Marchese, Maria Raffaella, Graziadio, M., Di Cintio, G., Paludetti, Gaetano, Costamagna, Guido, Galli, Jacopo, De Corso E., Baroni S. (ORCID:0000-0002-3410-2617), Marchese M. (ORCID:0000-0003-0751-0882), Paludetti G. (ORCID:0000-0003-2480-1243), Costamagna G. (ORCID:0000-0002-8100-2731), and Galli J. (ORCID:0000-0001-6353-6249)
- Published
- 2021
11. Therapies for inflammatory bowel disease do not pose additional risks for adverse outcomes of SARS-CoV-2 infection: an IG-IBD study
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Bezzio, C., Armuzzi, Alessandro, Furfaro, F., Ardizzone, S., Milla, M., Carparelli, S., Orlando, Ambrogio, Caprioli, F. A., Castiglione, F., Vigano, C., Ribaldone, D. G., Zingone, F., Monterubbianesi, R., Imperatore, N., Festa, Stefano, Daperno, M., Scucchi, L., Ferronato, A., Pastorelli, L., Balestrieri, P., Ricci, Chiara, Cappello, M., Felice, Carla, Fiorino, G., Saibeni, S., Coppini, F., Alvisi, P., Gerardi, Viviana, Variola, A., Mazzuoli, S., Lenti, M. V., Pugliese, Daniela, Allocca, Marialuisa, Ferretti, Ferretto, Roselli, J., Bossa, F., Giuliano, Alessandro, Piazza, N., Manes, G., Sartini, A., Buda, Alessandro, Micheli, F., Ciardo, V., Casella, Giovanni, Viscido, Aniello, Bodini, G., Casini, V., Soriano, A., Amato, A., Grossi, Luigi, Onali, Sebastiano, Rottoli, M., Spagnuolo, Rocco, Baroni, Silvia, Cortelezzi, C. C., Baldoni, Michele, Vernero, M., Scaldaferri, Franco, Maconi, G., Guarino, A. D., Palermo, Ofelia Anna, D'Inca, R., Scribano, M. L., Biancone, L., Carrozza, L., Ascolani, M., Costa, F., Di Sabatino, A., Zammarchi, I., Gottin, M., Conforti, F. S., Armuzzi A. (ORCID:0000-0003-1572-0118), Festa S., Felice C., Gerardi V., Pugliese D., Allocca M., Ferretti F., Giuliano A., Buda A., Casella G., Viscido A., Grossi L., Onali S., Spagnuolo R., Baroni S. (ORCID:0000-0002-3410-2617), Baldoni M., Scaldaferri F. (ORCID:0000-0001-8334-7541), Palermo A., Bezzio, C., Armuzzi, Alessandro, Furfaro, F., Ardizzone, S., Milla, M., Carparelli, S., Orlando, Ambrogio, Caprioli, F. A., Castiglione, F., Vigano, C., Ribaldone, D. G., Zingone, F., Monterubbianesi, R., Imperatore, N., Festa, Stefano, Daperno, M., Scucchi, L., Ferronato, A., Pastorelli, L., Balestrieri, P., Ricci, Chiara, Cappello, M., Felice, Carla, Fiorino, G., Saibeni, S., Coppini, F., Alvisi, P., Gerardi, Viviana, Variola, A., Mazzuoli, S., Lenti, M. V., Pugliese, Daniela, Allocca, Marialuisa, Ferretti, Ferretto, Roselli, J., Bossa, F., Giuliano, Alessandro, Piazza, N., Manes, G., Sartini, A., Buda, Alessandro, Micheli, F., Ciardo, V., Casella, Giovanni, Viscido, Aniello, Bodini, G., Casini, V., Soriano, A., Amato, A., Grossi, Luigi, Onali, Sebastiano, Rottoli, M., Spagnuolo, Rocco, Baroni, Silvia, Cortelezzi, C. C., Baldoni, Michele, Vernero, M., Scaldaferri, Franco, Maconi, G., Guarino, A. D., Palermo, Ofelia Anna, D'Inca, R., Scribano, M. L., Biancone, L., Carrozza, L., Ascolani, M., Costa, F., Di Sabatino, A., Zammarchi, I., Gottin, M., Conforti, F. S., Armuzzi A. (ORCID:0000-0003-1572-0118), Festa S., Felice C., Gerardi V., Pugliese D., Allocca M., Ferretti F., Giuliano A., Buda A., Casella G., Viscido A., Grossi L., Onali S., Spagnuolo R., Baroni S. (ORCID:0000-0002-3410-2617), Baldoni M., Scaldaferri F. (ORCID:0000-0001-8334-7541), and Palermo A.
- Abstract
Background: Older age and comorbidities are the main risk factors for adverse COVID-19 outcomes in patients with inflammatory bowel disease (IBD). The impact of IBD medications is still under investigation. Aims: To assess risk factors for adverse outcomes of COVID-19 in IBD patients and use the identified risk factors to build risk indices. Methods: Observational cohort study. Univariable and multivariable logistic regression was used to identify risk factors associated with pneumonia, hospitalisation, need for ventilatory support, and death. Results: Of the 937 patients (446 with ulcerative colitis [UC]) evaluated, 128 (13.7%) had asymptomatic SARS-CoV-2 infection, 664 (70.8%) had a favourable course, and 135 (15.5%) had moderate or severe COVID-19. In UC patients, obesity, active disease and comorbidities were significantly associated with adverse outcomes. In patients with Crohn's disease (CD), age, obesity, comorbidities and an additional immune-mediated inflammatory disease were identified as risk factors. These risk factors were incorporated into two indices to identify patients with UC or CD with a higher risk of adverse COVID-19 outcomes. In multivariable analyses, no single IBD medication was associated with poor COVID-19 outcomes, but anti-TNF agents were associated with a lower risk of pneumonia in UC, and lower risks of hospitalisation and severe COVID-19 in CD. Conclusion: The course of COVID-19 in patients with IBD is similar to that in the general population. IBD patients with active disease and comorbidities are at greater risk of adverse COVID-19 outcomes. IBD medications do not pose additional risks. The risk indices may help to identify patients who should be prioritised for COVID-19 re-vaccination or for therapies for SARS-CoV-2 infection.
- Published
- 2021
12. A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19
- Author
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Murri, Rita, Lenkowicz, Jacopo, Masciocchi, Carlotta, Iacomini, C., Fantoni, Massimo, Damiani, Andrea, Marchetti, A., Sergi, P. D. A., Arcuri, G., Cesario, Alfredo, Patarnello, S., Antonelli, Massimo, Bellantone, Rocco Domenico Alfonso, Bernabei, Roberto, Boccia, Stefania, Calabresi, Paolo, Cambieri, Andrea, Cauda, Roberto, Colosimo, Cesare, Crea, Filippo, De Maria Marchiano, Ruggero, De Stefano, Valerio, Franceschi, Francesco, Gasbarrini, Antonio, Parolini, Ornella, Richeldi, Luca, Sanguinetti, Maurizio, Urbani, Andrea, Zega, Maurizio, Scambia, Giovanni, Valentini, Vincenzo, Armuzzi, Alessandro, Barba, Marta, Baroni, Silvia, Bellesi, Silvia, Bentivoglio, Anna Rita, Biasucci, Luigi Marzio, Biscetti, Federico, Candelli, Marcello, Capalbo, Gennaro, Cattani Franchi, Paola, Chiusolo, Patrizia, Cingolani, Antonella, Corbo, Giuseppe Maria, Covino, Marcello, Cozzolino, A. M., D'Alfonso, Maria Elena, De Angelis, Giulia, De Pascale, Gennaro, Frisullo, Giovanni, Gabrielli, M., Gambassi, Giovanni, Garcovich, M., Gremese, Elisa, Grieco, Domenico Luca, Iaconelli, A., Iorio, Raffaele, Landi, Francesco, Larici, Anna Rita, Liuzzo, Giovanna, Maviglia, Riccardo, Miele, Luca, Montalto, Massimo, Natale, Luigi, Nicolotti, Nicola, Ojetti, Veronica, Pompili, Maurizio, Posteraro, Brunella, Rapaccini, Gian Ludovico, Rinaldi, R., Rossi, Elena, Santoliquido, Angelo, Sica, Simona, Tamburrini, Enrica, Teofili, Luciana, Testa, Antonia Carla, Tosoni, A., Trani, Carlo, Varone, Francesco, Verme, L. Z. D., Murri R. (ORCID:0000-0003-4263-7854), Lenkowicz J., Masciocchi C., Fantoni M. (ORCID:0000-0001-6913-8460), Damiani A., Cesario A. (ORCID:0000-0003-4687-0709), Antonelli M. (ORCID:0000-0003-3007-1670), Bellantone R. (ORCID:0000-0002-0844-3469), Bernabei R. (ORCID:0000-0002-9197-004X), Boccia S. (ORCID:0000-0002-1864-749X), Calabresi P. (ORCID:0000-0003-0326-5509), Cambieri A., Cauda R. (ORCID:0000-0002-1498-4229), Colosimo C. (ORCID:0000-0003-3800-3648), Crea F. (ORCID:0000-0001-9404-8846), De Maria R. (ORCID:0000-0003-2255-0583), De Stefano V. (ORCID:0000-0002-5178-5827), Franceschi F. (ORCID:0000-0001-6266-445X), Gasbarrini A. (ORCID:0000-0002-7278-4823), Parolini O. (ORCID:0000-0002-5211-6430), Richeldi L. (ORCID:0000-0001-8594-1448), Sanguinetti M. (ORCID:0000-0002-9780-7059), Urbani A. (ORCID:0000-0001-9168-3174), Zega M. (ORCID:0000-0002-7821-2615), Scambia G. (ORCID:0000-0003-2758-1063), Valentini V. (ORCID:0000-0003-4637-6487), Armuzzi A. (ORCID:0000-0003-1572-0118), Barba M. (ORCID:0000-0001-6084-7666), Baroni S. (ORCID:0000-0002-3410-2617), Bellesi S., Bentivoglio A. (ORCID:0000-0002-9663-095X), Biasucci L. M. (ORCID:0000-0002-6921-6497), Biscetti F. (ORCID:0000-0001-7449-657X), Candelli M. (ORCID:0000-0001-8443-7880), Capalbo G., Cattani P. (ORCID:0000-0003-4678-4763), Chiusolo P. (ORCID:0000-0002-1355-1587), Cingolani A. (ORCID:0000-0002-3793-2755), Corbo G. (ORCID:0000-0002-8104-4659), Covino M. (ORCID:0000-0002-6709-2531), D'Alfonso M., De Angelis G. (ORCID:0000-0002-7087-7399), De Pascale G. (ORCID:0000-0002-8255-0676), Frisullo G., Gambassi G. (ORCID:0000-0002-7030-9359), Gremese E. (ORCID:0000-0002-2248-1058), Grieco D. L. (ORCID:0000-0002-4557-6308), Iorio R. (ORCID:0000-0002-6270-0956), Landi F. (ORCID:0000-0002-3472-1389), Larici A. (ORCID:0000-0002-1882-6244), Liuzzo G. (ORCID:0000-0002-5714-0907), Maviglia R., Miele L. (ORCID:0000-0003-3464-0068), Montalto M. (ORCID:0000-0001-8819-3684), Natale L. (ORCID:0000-0002-7949-5119), Nicolotti N., Ojetti V. (ORCID:0000-0002-8953-0707), Pompili M. (ORCID:0000-0001-6699-7980), Posteraro B. (ORCID:0000-0002-1663-7546), Rapaccini G. (ORCID:0000-0002-6467-857X), Rossi E. (ORCID:0000-0002-7572-9379), Santoliquido A. (ORCID:0000-0003-1539-4017), Sica S. (ORCID:0000-0003-2426-3465), Tamburrini E. (ORCID:0000-0003-4930-426X), Teofili L. (ORCID:0000-0002-7214-1561), Testa A. (ORCID:0000-0003-2217-8726), Trani C. (ORCID:0000-0001-9777-013X), Varone F., Murri, Rita, Lenkowicz, Jacopo, Masciocchi, Carlotta, Iacomini, C., Fantoni, Massimo, Damiani, Andrea, Marchetti, A., Sergi, P. D. A., Arcuri, G., Cesario, Alfredo, Patarnello, S., Antonelli, Massimo, Bellantone, Rocco Domenico Alfonso, Bernabei, Roberto, Boccia, Stefania, Calabresi, Paolo, Cambieri, Andrea, Cauda, Roberto, Colosimo, Cesare, Crea, Filippo, De Maria Marchiano, Ruggero, De Stefano, Valerio, Franceschi, Francesco, Gasbarrini, Antonio, Parolini, Ornella, Richeldi, Luca, Sanguinetti, Maurizio, Urbani, Andrea, Zega, Maurizio, Scambia, Giovanni, Valentini, Vincenzo, Armuzzi, Alessandro, Barba, Marta, Baroni, Silvia, Bellesi, Silvia, Bentivoglio, Anna Rita, Biasucci, Luigi Marzio, Biscetti, Federico, Candelli, Marcello, Capalbo, Gennaro, Cattani Franchi, Paola, Chiusolo, Patrizia, Cingolani, Antonella, Corbo, Giuseppe Maria, Covino, Marcello, Cozzolino, A. M., D'Alfonso, Maria Elena, De Angelis, Giulia, De Pascale, Gennaro, Frisullo, Giovanni, Gabrielli, M., Gambassi, Giovanni, Garcovich, M., Gremese, Elisa, Grieco, Domenico Luca, Iaconelli, A., Iorio, Raffaele, Landi, Francesco, Larici, Anna Rita, Liuzzo, Giovanna, Maviglia, Riccardo, Miele, Luca, Montalto, Massimo, Natale, Luigi, Nicolotti, Nicola, Ojetti, Veronica, Pompili, Maurizio, Posteraro, Brunella, Rapaccini, Gian Ludovico, Rinaldi, R., Rossi, Elena, Santoliquido, Angelo, Sica, Simona, Tamburrini, Enrica, Teofili, Luciana, Testa, Antonia Carla, Tosoni, A., Trani, Carlo, Varone, Francesco, Verme, L. Z. D., Murri R. (ORCID:0000-0003-4263-7854), Lenkowicz J., Masciocchi C., Fantoni M. (ORCID:0000-0001-6913-8460), Damiani A., Cesario A. (ORCID:0000-0003-4687-0709), Antonelli M. (ORCID:0000-0003-3007-1670), Bellantone R. (ORCID:0000-0002-0844-3469), Bernabei R. (ORCID:0000-0002-9197-004X), Boccia S. (ORCID:0000-0002-1864-749X), Calabresi P. (ORCID:0000-0003-0326-5509), Cambieri A., Cauda R. (ORCID:0000-0002-1498-4229), Colosimo C. (ORCID:0000-0003-3800-3648), Crea F. (ORCID:0000-0001-9404-8846), De Maria R. (ORCID:0000-0003-2255-0583), De Stefano V. (ORCID:0000-0002-5178-5827), Franceschi F. (ORCID:0000-0001-6266-445X), Gasbarrini A. (ORCID:0000-0002-7278-4823), Parolini O. (ORCID:0000-0002-5211-6430), Richeldi L. (ORCID:0000-0001-8594-1448), Sanguinetti M. (ORCID:0000-0002-9780-7059), Urbani A. (ORCID:0000-0001-9168-3174), Zega M. (ORCID:0000-0002-7821-2615), Scambia G. (ORCID:0000-0003-2758-1063), Valentini V. (ORCID:0000-0003-4637-6487), Armuzzi A. (ORCID:0000-0003-1572-0118), Barba M. (ORCID:0000-0001-6084-7666), Baroni S. (ORCID:0000-0002-3410-2617), Bellesi S., Bentivoglio A. (ORCID:0000-0002-9663-095X), Biasucci L. M. (ORCID:0000-0002-6921-6497), Biscetti F. (ORCID:0000-0001-7449-657X), Candelli M. (ORCID:0000-0001-8443-7880), Capalbo G., Cattani P. (ORCID:0000-0003-4678-4763), Chiusolo P. (ORCID:0000-0002-1355-1587), Cingolani A. (ORCID:0000-0002-3793-2755), Corbo G. (ORCID:0000-0002-8104-4659), Covino M. (ORCID:0000-0002-6709-2531), D'Alfonso M., De Angelis G. (ORCID:0000-0002-7087-7399), De Pascale G. (ORCID:0000-0002-8255-0676), Frisullo G., Gambassi G. (ORCID:0000-0002-7030-9359), Gremese E. (ORCID:0000-0002-2248-1058), Grieco D. L. (ORCID:0000-0002-4557-6308), Iorio R. (ORCID:0000-0002-6270-0956), Landi F. (ORCID:0000-0002-3472-1389), Larici A. (ORCID:0000-0002-1882-6244), Liuzzo G. (ORCID:0000-0002-5714-0907), Maviglia R., Miele L. (ORCID:0000-0003-3464-0068), Montalto M. (ORCID:0000-0001-8819-3684), Natale L. (ORCID:0000-0002-7949-5119), Nicolotti N., Ojetti V. (ORCID:0000-0002-8953-0707), Pompili M. (ORCID:0000-0001-6699-7980), Posteraro B. (ORCID:0000-0002-1663-7546), Rapaccini G. (ORCID:0000-0002-6467-857X), Rossi E. (ORCID:0000-0002-7572-9379), Santoliquido A. (ORCID:0000-0003-1539-4017), Sica S. (ORCID:0000-0003-2426-3465), Tamburrini E. (ORCID:0000-0003-4930-426X), Teofili L. (ORCID:0000-0002-7214-1561), Testa A. (ORCID:0000-0003-2217-8726), Trani C. (ORCID:0000-0001-9777-013X), and Varone F.
- Abstract
The COVID-19 pandemic is impressively challenging the healthcare system. Several prognostic models have been validated but few of them are implemented in daily practice. The objective of the study was to validate a machine-learning risk prediction model using easy-to-obtain parameters to help to identify patients with COVID-19 who are at higher risk of death. The training cohort included all patients admitted to Fondazione Policlinico Gemelli with COVID-19 from March 5, 2020, to November 5, 2020. Afterward, the model was tested on all patients admitted to the same hospital with COVID-19 from November 6, 2020, to February 5, 2021. The primary outcome was in-hospital case-fatality risk. The out-of-sample performance of the model was estimated from the training set in terms of Area under the Receiving Operator Curve (AUROC) and classification matrix statistics by averaging the results of fivefold cross validation repeated 3-times and comparing the results with those obtained on the test set. An explanation analysis of the model, based on the SHapley Additive exPlanations (SHAP), is also presented. To assess the subsequent time evolution, the change in paO2/FiO2 (P/F) at 48 h after the baseline measurement was plotted against its baseline value. Among the 921 patients included in the training cohort, 120 died (13%). Variables selected for the model were age, platelet count, SpO2, blood urea nitrogen (BUN), hemoglobin, C-reactive protein, neutrophil count, and sodium. The results of the fivefold cross-validation repeated 3-times gave AUROC of 0.87, and statistics of the classification matrix to the Youden index as follows: sensitivity 0.840, specificity 0.774, negative predictive value 0.971. Then, the model was tested on a new population (n = 1463) in which the case-fatality rate was 22.6%. The test model showed AUROC 0.818, sensitivity 0.813, specificity 0.650, negative predictive value 0.922. Considering the first quartile of the predicted risk score (low-risk sc
- Published
- 2021
13. Postexercise troponin I levels in patients with suspected stable ischemic heart disease
- Author
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Lanza, Gaetano Antonio, Morgante, V., Melita, V., Mencarelli, E., De Vita, Antonio, Ravenna, S. E., Bisignani, Antonio, Villano, Antonio, Baroni, Silvia, Antenucci, Mirca, Crea, Filippo, Lanza G. A. (ORCID:0000-0003-2187-6653), De Vita A., Bisignani A., Villano A., Baroni S. (ORCID:0000-0002-3410-2617), Antenucci M., Crea F. (ORCID:0000-0001-9404-8846), Lanza, Gaetano Antonio, Morgante, V., Melita, V., Mencarelli, E., De Vita, Antonio, Ravenna, S. E., Bisignani, Antonio, Villano, Antonio, Baroni, Silvia, Antenucci, Mirca, Crea, Filippo, Lanza G. A. (ORCID:0000-0003-2187-6653), De Vita A., Bisignani A., Villano A., Baroni S. (ORCID:0000-0002-3410-2617), Antenucci M., and Crea F. (ORCID:0000-0001-9404-8846)
- Abstract
BACKGROUND AND AIMS: Previous studies showed that troponin blood levels may increase after exercise. In this study, we assessed whether, among patients with suspected of having stable angina, the increase in troponin I (TnI) levels after exercise stress test (EST) might help identify those with obstructive coronary artery disease (CAD) and myocardial ischemia. METHODS: We performed maximal treadmill EST in 50 patients (age 64 ± 9 years; 38 men) admitted to our Cardiology Department to undergo elective coronary angiography because of a suspicion of stable angina. TnI was measured before and 12 h after EST. RESULTS: TnI increased after EST compared with baseline in the whole population (from 0.44 ± 0.76 to 0.84 ± 1.12 ng/dl, P < 0.001). No difference in TnI increase was observed between patients with obstructive CAD (n = 29; 0.61 ± 0.90-1.13 ± 1.33 ng/dl) and no obstructive CAD (NO-CAD; n = 21; 0.21 ± 0.46-0.44 ± 0.54 ng/dl; P = 0.51). There was also no significant difference in post-EST TnI increase between patients with positive EST (n = 34; 0.56 ± 0.89-1.05 ± 1.28 ng/dl) or negative EST (n = 16; 0.19 ± 0.26-0.39 ± 0.43 ng/dl; P = 0.16). Moreover, no significant difference was observed in the post-EST TnI increase among groups of patients with positive EST and obstructive CAD, positive EST and NO-CAD, negative EST and obstructive CAD and negative EST and NO-CAD (P = 0.12). No clinical or EST variable was associated with post-EST TnI increase, although there was a tendency for a greater increase in those achieving a heart rate more than 85 vs. less than 85% of maximal predicted heart rate during EST (P = 0.075). CONCLUSION: TnI increase after EST in patients with suspected stable angina is largely independent of the results of coronary angiography and EST.
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- 2021
14. Metabolic reprogramming by malat1 depletion in prostate cancer
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Nanni, Simona, Aiello, A., Salis, Chiara, Re, Agnese, Cencioni, C., Bacci, Lorenza, Pierconti, Francesco, Pinto, Francesco, Ripoli, Cristian, Ostano, P., Baroni, Silvia, Lazzarino, Giacomo, Tavazzi, Barbara, Pugliese, D., Bassi, Pierfrancesco, Grassi, Claudio, Panunzi, Simona, Chiorino, G., Pontecorvi, Alfredo, Gaetano, C., Farsetti, A., Nanni S. (ORCID:0000-0002-3320-1584), Salis C., Re A., Bacci L., Pierconti F. (ORCID:0000-0003-0951-4131), Pinto F., Ripoli C. (ORCID:0000-0002-5315-0163), Baroni S. (ORCID:0000-0002-3410-2617), Lazzarino G., Tavazzi B. (ORCID:0000-0001-8743-0895), Bassi P. (ORCID:0000-0002-4313-8427), Grassi C. (ORCID:0000-0001-7253-1685), Panunzi S., Pontecorvi A. (ORCID:0000-0003-0570-6865), Nanni, Simona, Aiello, A., Salis, Chiara, Re, Agnese, Cencioni, C., Bacci, Lorenza, Pierconti, Francesco, Pinto, Francesco, Ripoli, Cristian, Ostano, P., Baroni, Silvia, Lazzarino, Giacomo, Tavazzi, Barbara, Pugliese, D., Bassi, Pierfrancesco, Grassi, Claudio, Panunzi, Simona, Chiorino, G., Pontecorvi, Alfredo, Gaetano, C., Farsetti, A., Nanni S. (ORCID:0000-0002-3320-1584), Salis C., Re A., Bacci L., Pierconti F. (ORCID:0000-0003-0951-4131), Pinto F., Ripoli C. (ORCID:0000-0002-5315-0163), Baroni S. (ORCID:0000-0002-3410-2617), Lazzarino G., Tavazzi B. (ORCID:0000-0001-8743-0895), Bassi P. (ORCID:0000-0002-4313-8427), Grassi C. (ORCID:0000-0001-7253-1685), Panunzi S., and Pontecorvi A. (ORCID:0000-0003-0570-6865)
- Abstract
The lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) promotes growth and progression in prostate cancer (PCa); however, little is known about its possible impact in PCa metabolism. The aim of this work has been the assessment of the metabolic reprogramming associated with MALAT1 silencing in human PCa cells and in an ex vivo model of organotypic slice cultures (OSCs). Cultured cells and OSCs derived from primary tumors were transfected with MALAT1 specific gapmers. Cell growth and survival, gene profiling, and evaluation of targeted metabolites and metabolic enzymes were assessed. Computational analysis was made considering expression changes occurring in metabolic markers following MALAT1 targeting in cultured OSCs. MALAT1 silencing reduced expression of some metabolic enzymes, including malic enzyme 3, pyruvate dehydrogenase kinases 1 and 3, and choline kinase A. Consequently, PCa metabolism switched toward a glycolytic phenotype characterized by increased lactate production paralleled by growth arrest and cell death. Conversely, the function of mitochondrial succinate dehydrogenase and the expression of oxidative phosphorylation enzymes were markedly reduced. A similar effect was observed in OSCs. Based on this, a predictive algorithm was developed aimed to predict tumor recurrence in a subset of patients. MALAT1 targeting by gapmer delivery restored normal metabolic energy pathway in PCa cells and OSCs.
- Published
- 2021
15. No association between post-exercise high-sensitivity troponin T levels and CAD
- Author
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Gabrielli, M., Lanza, G. A., Baroni, S., Lamendola, P., Crea, F., Franceschi, F., Gabrielli M., Lanza G. A. (ORCID:0000-0003-2187-6653), Baroni S. (ORCID:0000-0002-3410-2617), Crea F. (ORCID:0000-0001-9404-8846), Franceschi F. (ORCID:0000-0001-6266-445X), Gabrielli, M., Lanza, G. A., Baroni, S., Lamendola, P., Crea, F., Franceschi, F., Gabrielli M., Lanza G. A. (ORCID:0000-0003-2187-6653), Baroni S. (ORCID:0000-0002-3410-2617), Crea F. (ORCID:0000-0001-9404-8846), and Franceschi F. (ORCID:0000-0001-6266-445X)
- Abstract
N/A
- Published
- 2020
16. Effect of water composition and timing of ingestion on urinary lithogenic profile in healthy volunteers: a randomized crossover trial
- Author
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Ferraro, Pietro Manuel, Baccaro, Rocco, Baroni, Silvia, D'Alessandri, Ludovica, Carpenito, C., Di Daniele, N., Urbani, Andrea, Gambaro, Giovanni, Ferraro P. (ORCID:0000-0002-1379-022X), Baccaro R., Baroni S. (ORCID:0000-0002-3410-2617), D'Alessandri L., Urbani A. (ORCID:0000-0001-9168-3174), Gambaro G. (ORCID:0000-0001-5733-2370), Ferraro, Pietro Manuel, Baccaro, Rocco, Baroni, Silvia, D'Alessandri, Ludovica, Carpenito, C., Di Daniele, N., Urbani, Andrea, Gambaro, Giovanni, Ferraro P. (ORCID:0000-0002-1379-022X), Baccaro R., Baroni S. (ORCID:0000-0002-3410-2617), D'Alessandri L., Urbani A. (ORCID:0000-0001-9168-3174), and Gambaro G. (ORCID:0000-0001-5733-2370)
- Abstract
Kidney stone disease is a common condition with a high recurrence rate and elevated costs. Despite the well-known positive effects of high fluid intake, there are little data about the roles of water composition and timing of ingestion during the day. This study examines the effect of two different waters [calcium-bicarbonate water (CBW) and oligomineral water (OW)] consumed at different times during the day on urine composition in a group of healthy volunteers. In a cross-over randomized trial, 12 healthy volunteers were assigned to a different sequence of four combined interventions (1 L of water consumed during fasting and 1 L of water consumed with meals): CBW/OW; OW/CBW; CBW/CBW; OW/OW. Participants were instructed to follow the same diet and to avoid smoking, caffeine and other beverages during the day of intervention, and to collect their urine every 2 h during the day, followed by a single overnight collection. The relative supersaturation for calcium oxalate was higher for CBW/CBW compared with all other interventions, while relative supersaturation for calcium phosphate was lower for the combination OW/CBW with meals. Urinary excretion of oxalate was lower in all interventions including CBW, while no significant differences were found for urinary calcium. Water composition and timing of ingestion have complex and interacting effects on lithogenic risk. Depending on individual characteristics, a strategy involving either OW or a mix of CBW during meals and OW outside of meals could be effective in modulating the lithogenic profile. Trial registered at clinicaltrial.gov: Protocol ID NCT03447847.
- Published
- 2020
17. Antileukotrienes improve naso-ocular symptoms and biomarkers in patients with NARES and asthma
- Author
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De Corso, E, Anzivino, R, Galli, J, Baroni, S, Di Nardo, W, De Vita, C, Salvati, A, Autilio, C, Settimi, S, Mele, D, Paludetti, G, Mullol, J, De Corso E, Galli J (ORCID:0000-0001-6353-6249), Baroni S (ORCID:0000-0002-3410-2617), Di Nardo W (ORCID:0000-0001-5058-6431), Salvati A, Settimi S (ORCID:0000-0003-0104-1501), Mele D, Paludetti G (ORCID:0000-0003-2480-1243), De Corso, E, Anzivino, R, Galli, J, Baroni, S, Di Nardo, W, De Vita, C, Salvati, A, Autilio, C, Settimi, S, Mele, D, Paludetti, G, Mullol, J, De Corso E, Galli J (ORCID:0000-0001-6353-6249), Baroni S (ORCID:0000-0002-3410-2617), Di Nardo W (ORCID:0000-0001-5058-6431), Salvati A, Settimi S (ORCID:0000-0003-0104-1501), Mele D, and Paludetti G (ORCID:0000-0003-2480-1243)
- Abstract
Objective The aim of our study was to analyze the montelukast effectiveness in improving oculonasal symptoms, patient‐reported outcomes (PROs), and eosinophilic biomarkers in patients with nonallergic rhinitis eosinophilic syndrome (NARES). Methods We enrolled prospectively 80 symptomatic patients treated with 10 mg once a day of montelukast in monotherapy for 2 months. All patients were investigated before and after treatment. Nasal symptoms (nasal obstruction, rhinorrhoea, sneezing, nasal itching), ocular symptoms (redness/puffiness, watery eyes), and other PROs (olfactory dysfunction, difficulty going to sleep, nighttime awakenings, and nasal congestion on awakening) were scored by visual analogic scale. The following clinical scores were assessed: Total Nasal Symptom Score (T4NSS), Total Ocular Symptom Score (T2OSS), Total Symptom Score of Patient‐Reported Outcomes (TSS‐PROs), and a Composite Symptoms Score (CSS). Patients were classified as responders when a reduction of at least 50% of the CSS was observed. Before and after treatment, the eosinophilic biomarkers in nasal lavage were analyzed: nasal eosinophilia (number of eosinophils per high power field), eotaxin‐1 and eotaxin‐2. Results After treatment, significant reductions were observed for all the symptom scores. Forty‐two of 78 patients were considered responders. A significant reduction of eosinophils in nasal mucosa and of levels of eotaxin‐1 and eotaxin‐2 in nasal lavage were observed after treatment in responder patients. Patients with asthma had an increased probability to be responders. Conclusion NARES patients may benefit from treatment with montelukast. In particular, the presence of concomitant asthma may be predictive of a greater efficacy.
- Published
- 2019
18. A false positive case of high-sensitivity cardiac troponin in a patient with acute chest pain: Analytical study of the interference.
- Author
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Baroni, S., Troiani, Eliana, Santonocito, C., Moretti, Giacomo, De Luca, C., Antenucci, M., Urbani, A., Baroni, S. (ORCID:0000-0002-3410-2617), Santonocito, C. (ORCID:0000-0003-3624-1386), Urbani, A. (ORCID:0000-0001-9168-3174), Baroni, S., Troiani, Eliana, Santonocito, C., Moretti, Giacomo, De Luca, C., Antenucci, M., Urbani, A., Baroni, S. (ORCID:0000-0002-3410-2617), Santonocito, C. (ORCID:0000-0003-3624-1386), and Urbani, A. (ORCID:0000-0001-9168-3174)
- Abstract
We report a case of a heterophile antibodies interference in a new high-sensitivity troponin commercial immunoassay (cTNIH Siemens), observed in a patient with possible acute coronary syndrome (ACS). The analytical interference was investigated with standard laboratories procedures. The false positive result was found with different troponin methods and kits. We also investigated the protein sequence of cTnl and no sequence variants were detected. The discordance between clinical pictures and high concentration of cTnl, together with the collaboration between clinicians and laboratory staff avoided possible erroneous diagnosis and further invasive investigations to the patient.
- Published
- 2019
19. Identification of seminal markers of male accessory gland inflammation: From molecules to proteome
- Author
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Grande, Giuseppe, Milardi, D., Baroni, Silvia, Luca, G., Pontecorvi, Alfredo, Grande G., Baroni S. (ORCID:0000-0002-3410-2617), Pontecorvi A. (ORCID:0000-0003-0570-6865), Grande, Giuseppe, Milardi, D., Baroni, Silvia, Luca, G., Pontecorvi, Alfredo, Grande G., Baroni S. (ORCID:0000-0002-3410-2617), and Pontecorvi A. (ORCID:0000-0003-0570-6865)
- Abstract
Male accessory gland infection/inflammation (MAGI) is a frequent disease, mostly with a chronic course, involving 1 or more sexual accessory glands. Majority of the MAGIs remain asymptomatic, thereby leading to a dilemma whether to treat these patients or not. It is moreover noteworthy that the diagnosis of MAGI is difficult, since patients are frequently asymptomatic and semen samples or prostatic secretions are often free from bacteria. As a consequence the identification of novel and reliable markers of inflammation in seminal plasma is an open challenge. If leukocytospermia and polymorphonuclear elastase and the analysis of the secretory products of male accessory glands have been widely used in the past, their diagnostic significance is discussed. Some cytokines (IL-6 and IL-8) and protein markers (suPAR) have been reported in the last years as the most promising markers for the diagnosis and the follow-up of MAGI. Recent advances in proteomic techniques undoubtedly represent a real promise in the future for the identification of novel markers of MAGI. This article provides an overview of key seminal biomarkers of MAGI, including the novel perspectives of the putative markers deriving by the most recent proteomic approaches.
- Published
- 2018
20. Hyaluronic acid-paclitaxel: effects of intraperitoneal administration against CD44(+) human ovarian cancer xenografts.
- Author
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De Stefano, Ilaria, Battaglia, Alessandra, Zannoni, Gian Franco, Prisco, Maria Grazia, Fattorossi, Andrea, Travaglia, Daniele, Baroni, Silvia, Renier, D, Scambia, Giovanni, Ferlini, Cristiano, Gallo Guido, Daniela, Zannoni, Gian Franco (ORCID:0000-0003-1809-129X), Baroni, S (ORCID:0000-0002-3410-2617), Scambia, Giovanni (ORCID:0000-0003-2758-1063), Gallo, Daniela, De Stefano, Ilaria, Battaglia, Alessandra, Zannoni, Gian Franco, Prisco, Maria Grazia, Fattorossi, Andrea, Travaglia, Daniele, Baroni, Silvia, Renier, D, Scambia, Giovanni, Ferlini, Cristiano, Gallo Guido, Daniela, Zannoni, Gian Franco (ORCID:0000-0003-1809-129X), Baroni, S (ORCID:0000-0002-3410-2617), Scambia, Giovanni (ORCID:0000-0003-2758-1063), and Gallo, Daniela
- Abstract
PURPOSE: Hyaluronan (HA)-receptors (mainly CD44 and RHAMM) are overexpressed in a wide variety of cancers including ovarian tumors, and HA-bioconjugates have been developed to enhance selective entry of cytotoxic drugs into HA receptor-expressing cancerous cells. Here, we evaluated the potential application of a new HA-paclitaxel bioconjugate, ONCOFID-P, for intraperitoneal (IP) treatment of ovarian cancer. METHODS: In vitro cytotoxic effect of ONCOFID-P was first assessed on CD44(+) OVCAR-3 and SKOV-3 human ovarian cancer cell lines. Studies were performed in female Balb/c athymic mice IP implanted with OVCAR-3 or SKOV-3 and treated with IP ONCOFID-P, and IP and intravenous (IV) free paclitaxel, at their maximum tolerated dose (MTD 168, 80 and 80 mg/kg, total dose, respectively). The potential detrimental effect of the IP ONCOFID-P and IP free paclitaxel on hematopoiesis was also assessed on peripheral blood, bone marrow and spleen. RESULTS: Results show that ONCOFID-P cytotoxicity against both OVCAR-3 and SKOV-3 cell lines was somewhat less effective than free paclitaxel. Conversely, in in vivo experiments, IP treatment with ONCOFID-P was overall more effective than IV and IP free paclitaxel in inhibiting intra-abdominal tumor dissemination, abrogating ascites, prolonging survival and curing mice. ONCOFID-P and IP free paclitaxel were equivalent in terms of myelotoxicity, although the former was administered at a two-fold higher dose. CONCLUSIONS: Present data strongly support the development of ONCOFID-P for locoregional treatment of ovarian cancer.
- Published
- 2010
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