12 results on '"Antonini, L"'
Search Results
2. P1 NEW TREATMENT STRATEGIES IN PATIENTS WITH SENILE CARDIAC AMYLOIDOSIS
- Author
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Chiorazzo, L, primary, Valerii, F, additional, Bencivenga, S, additional, Acitelli, A, additional, Antonini, L, additional, Romano, S, additional, and Sciarra, L, additional
- Published
- 2023
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3. Pratique des inter-CHU et master 2 de recherche chez les (anciens) internes de DES/ DESC de maladies infectieuses et tropicales– Enquête menée auprès des membres du Réseau des Jeunes Infectiologues Français
- Author
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Thill, P., primary, Bauer, J., additional, Rossi, F., additional, Declerck, C., additional, Porez, D., additional, Lebreton, C., additional, Brousse, X., additional, Martinet, P., additional, Antonini, L., additional, and Thy, M., additional
- Published
- 2022
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4. A computational workflow for modeling complex patient-specific coronary stenting cases.
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Antonini L, Poletti G, Karanasiou GS, Sakellarios A, Fotiadis DI, Petrini L, Pennati G, and Berti F
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- Humans, Workflow, Models, Cardiovascular, Reproducibility of Results, Coronary Artery Disease therapy, Coronary Artery Disease surgery, Stents, Coronary Vessels, Computer Simulation
- Abstract
Background and Objectives: In the era of in silico clinical trials, it is of paramount importance to guarantee simulation reliability. In the field of coronary stenting, there is a need to couple validated stent models with credible digital twins of the arteries, whose mechanical behavior is commonly simplified to guarantee a balance between simulation complexity and computational time, namely usability. To this aim, the current work proposed a phenomenological approach suitable for the mechanical description of patient-specific coronary arteries undergoing coronary stenting in complex cases, e.g. bifurcations, exhibiting overstretching due to procedural choices., Methods: Pre- and post-operative images were used to prepare four vessel models and validate the outcome of multi-step structural stenting simulations in terms of recovered lumen area. Arteries were modeled improving a previous strategy by the authors, namely accounting for different mechanical properties in the media and adventitia layer, with an assigned hyperelastic response with a softening at higher strains to simulate the damage due to overstretching. Plaque components, which were identified from patient images, were classified into lipidic, calcified, and generic, and associated with different properties., Results: The simulation results demonstrated a good match with the clinical outcome of all the stenting procedures, with errors lower than 15 % in terms of recovered lumen area. This proved the reliability of the proposed simulation framework improving the performances of the previous model, making it usable for interpreting also situations where the artery underwent overstretching., Conclusions: The proposed approach allowed to account for the in vivo conditions and have good performance when aiming at describing quantities such as lumen reopening and the presence of malapposed struts following stent deployment., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Francesca Berti reports financial support was provided by National Plan for NRRP Complementary Investments. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)
- Published
- 2025
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5. Investigating Balloon-Vessel Contact Pressure Patterns in Angioplasty: In Silico Insights for Drug-Coated Balloons.
- Author
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Stratakos E, Antonini L, Poletti G, Berti F, Tzafriri AR, Petrini L, and Pennati G
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- Animals, Femoral Artery, Coated Materials, Biocompatible, Excipients, Paclitaxel, Angioplasty, Balloon methods
- Abstract
Drug-Coated Balloons have shown promising results as a minimally invasive approach to treat stenotic arteries, but recent animal studies have revealed limited, non-uniform coating transfer onto the arterial lumen. In vitro data suggested that local coating transfer tracks the local Contact Pressure (CP) between the balloon and the endothelium. Therefore, this work aimed to investigate in silico how different interventional and device parameters may affect the spatial distribution of CP during the inflation of an angioplasty balloon within idealized vessels that resemble healthy femoral arteries in size and compliance. An angioplasty balloon computational model was developed, considering longitudinal non-uniform wall thickness, due to its forming process, and the folding procedure of the balloon. To identify the conditions leading to non-uniform CP, sensitivity finite element analyses were performed comparing different values for balloon working length, longitudinally varying wall thickness, friction coefficient on the balloon-vessel interface, vessel wall stiffness and thickness, and balloon-to-vessel diameter ratio. Findings indicate a significant irregularity of contact between the balloon and the vessel, mainly affected by the balloon's unfolding and longitudinal thickness variation. Mirroring published data on coating transfer distribution in animal studies, the interfacial CP distribution was maximal at the middle of the balloon treatment site, while exhibiting a circumferential pattern of linear peaks as a consequence of the particular balloon-vessel interaction during unfolding. A high ratio of balloon-to-vessel diameter, higher vessel stiffness, and thickness was found to increase significantly the amplitude and spatial distribution of the CP, while a higher friction coefficient at the balloon-to-vessel interface further exacerbated the non-uniformity of CP. Evaluation of balloon design effects revealed that the thicker tapered part caused CP reduction in the areas that interacted with the extremities of the balloon, whereas total length only weakly impacted the CP. Taken together, this study offers a deeper understanding of the factors influencing the irregularity of balloon-tissue contact, a key step toward uniformity in drug-coating transfer and potential clinical effectiveness., (© 2023. The Author(s).)
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- 2023
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6. Pinus mugo Essential Oil Impairs STAT3 Activation through Oxidative Stress and Induces Apoptosis in Prostate Cancer Cells.
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Thalappil MA, Butturini E, Carcereri de Prati A, Bettin I, Antonini L, Sapienza FU, Garzoli S, Ragno R, and Mariotto S
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- Apoptosis, Cell Line, Tumor, Cell Proliferation, Glutathione metabolism, Humans, Male, Oxidative Stress, Reactive Oxygen Species metabolism, Antineoplastic Agents pharmacology, Antineoplastic Agents therapeutic use, Oils, Volatile pharmacology, Oils, Volatile therapeutic use, Pinus metabolism, Plant Oils pharmacology, Plant Oils therapeutic use, Prostatic Neoplasms drug therapy, Prostatic Neoplasms genetics, Prostatic Neoplasms metabolism, STAT3 Transcription Factor genetics, STAT3 Transcription Factor metabolism
- Abstract
Essential oils (EOs) and their components have been reported to possess anticancer properties and to increase the sensitivity of cancer cells to chemotherapy. The aim of this work was to select EOs able to downregulate STAT3 signaling using Western blot and RT-PCR analyses. The molecular mechanism of anti-STAT3 activity was evaluated through spectrophotometric and fluorometric analyses, and the biological effect of STAT3 inhibition was analyzed by flow cytometry and wound healing assay. Herein, Pinus mugo EO (PMEO) is identified as an inhibitor of constitutive STAT3 phosphorylation in human prostate cancer cells, DU145. The down-modulation of the STAT3 signaling cascade decreased the expression of anti-proliferative as well as anti-apoptotic genes and proteins, leading to the inhibition of cell migration and apoptotic cell death. PMEO treatment induced a rapid drop in glutathione (GSH) levels and an increase in reactive oxygen species (ROS) concentration, resulting in mild oxidative stress. Pretreatment of cells with N -acetyl-cysteine (NAC), a cell-permeable ROS scavenger, reverted the inhibitory action of PMEO on STAT3 phosphorylation. Moreover, combination therapy revealed that PMEO treatment displayed synergism with cisplatin in inducing the cytotoxic effect. Overall, our data highlight the importance of STAT3 signaling in PMEO cytotoxic activity, as well as the possibility of developing adjuvant therapy or sensitizing cancer cells to conventional chemotherapy.
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- 2022
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7. Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal.
- Author
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Proia E, Ragno A, Antonini L, Sabatino M, Mladenovič M, Capobianco R, and Ragno R
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- Antiviral Agents chemistry, Antiviral Agents pharmacology, Coronavirus 3C Proteases, Humans, Ligands, Molecular Docking Simulation, Protease Inhibitors chemistry, Protease Inhibitors pharmacology, SARS-CoV-2, Quantitative Structure-Activity Relationship, COVID-19 Drug Treatment
- Abstract
The main protease (M
pro ) of SARS-Cov-2 is the essential enzyme for maturation of functional proteins implicated in viral replication and transcription. The peculiarity of its specific cleavage site joint with its high degree of conservation among all coronaviruses promote it as an attractive target to develop broad-spectrum inhibitors, with high selectivity and tolerable safety profile. Herein is reported a combination of three-dimensional quantitative structure-activity relationships (3-D QSAR) and comparative molecular binding energy (COMBINE) analysis to build robust and predictive ligand-based and structure-based statistical models, respectively. Models were trained on experimental binding poses of co-crystallized Mpro -inhibitors and validated on available literature data. By means of deep optimization both models' goodness and robustness reached final statistical values of r2 /q2 values of 0.97/0.79 and 0.93/0.79 for the 3-D QSAR and COMBINE approaches respectively, and an overall predictiveness values of 0.68 and 0.57 for the SDEPPRED and AAEP metrics after application to a test set of 60 compounds covered by the training set applicability domain. Despite the different nature (ligand-based and structure-based) of the employed methods, their outcome fully converged. Furthermore, joint ligand- and structure-based structure-activity relationships were found in good agreement with nirmatrelvir chemical features properties, a novel oral Mpro -inhibitor that has recently received U.S. FDA emergency use authorization (EUA) for the oral treatment of mild-to-moderate COVID-19 infected patients. The obtained results will guide future rational design and/or virtual screening campaigns with the aim of discovering new potential anti-coronavirus lead candidates, minimizing both time and financial resources. Moreover, as most of calculation were performed through the well-established web portal 3d-qsar.com the results confirm the portal as a useful tool for drug design., (© 2022. The Author(s).)- Published
- 2022
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8. An in silico trials platform for the evaluation of stent design effect in post-implantation outcomes.
- Author
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Karanasiou GS, Tsompou PI, Tachos N, Karanasiou GE, Sakellarios A, Kyriakidis S, Antonini L, Pennati G, Petrini L, Gijsen F, Vaughan T, Katsouras C, Michalis L, and Fotiadis DI
- Subjects
- Stents, Tissue Scaffolds, Absorbable Implants, Percutaneous Coronary Intervention
- Abstract
Bioresorbable Vascular Scaffolds (BVS), developed to allow drug deliver and mechanical support, followed by complete resorption, have revolutionized atherosclerosis treatment. InSilc is a Cloud platform for in silico clinical trials (ISCT) used in the design, development and evaluation pipeline of stents. The platform integrates beyond the state-of-the-art multi-disciplinary and multiscale models, which predict the scaffold's performance in the short/acute and medium/long term. In this study, a use case scenario of two Bioabsorbable Vascular Stents (BVSs) implanted in the same arterial anatomy is presented, allowing the whole InSilc in silico pipeline to be applied and predict how the different aspects of this intervention affect the success of stenting process.
- Published
- 2022
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9. A proof-of-concept study for the simulation of blood flow in a post arterial segment for different blood rheology models.
- Author
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Karanasiou GE, Loukas VS, Tsompou PI, Karanasiou GS, Kyriakidis S, Antonini L, Poletti G, Pennati G, Papafaklis M, Gergidis LN, Fotiadis DI, and Sakellarios AI
- Subjects
- Computer Simulation, Humans, Rheology, Stress, Mechanical, Coronary Vessels, Hemodynamics
- Abstract
Cardiovascular disease (CVD) and especially atherosclerosis are chronic inflammatory diseases which cause the atherosclerotic plaque growth in the arterial vessels and the blood flow reduction. Stents have revolutionized the treatment of this disease to a great extent by restoring the blood flow in the vessel. The present study investigates the performance of the blood flow after stent implantation in patient-specific coronary artery and demonstrates the effect of using Newtonian vs. non-Newtonian blood fluid models in the distribution of endothelial shear stress. In particular, the Navier-Stokes and continuity equations were employed, and three non-Newtonian fluid models were investigated (Carreau, Carreau-Yasuda and the Casson model). Computational finite elements models were used for the simulation of blood flow. The comparison of the results demonstrates that the Newtonian fluid model underestimates the calculation of Endothelial Shear Stress, while the three non-Newtonian fluids present similar distribution of shear stress. Keywords: Blood flow dynamics, stented artery, non-Newtonian fluid. Clinical Relevance- This work demonstrates that when blood flow modeling is performed at stented arteries and predictive models are developed, the non-Newtonian nature of blood must be considered.
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- 2022
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10. Human Estrogen Receptor Alpha Antagonists, Part 3: 3-D Pharmacophore and 3-D QSAR Guided Brefeldin A Hit-to-Lead Optimization toward New Breast Cancer Suppressants.
- Author
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Kurtanović N, Tomašević N, Matić S, Proia E, Sabatino M, Antonini L, Mladenović M, and Ragno R
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- Animals, Brefeldin A pharmacology, Brefeldin A therapeutic use, Female, Humans, Quantitative Structure-Activity Relationship, Rats, Rats, Wistar, Breast Neoplasms drug therapy, Breast Neoplasms metabolism, Estrogen Receptor alpha metabolism
- Abstract
The estrogen receptor α (ERα) is an important biological target mediating 17β-estradiol driven breast cancer (BC) development. Aiming to develop innovative drugs against BC, either wild-type or mutated ligand-ERα complexes were used as source data to build structure-based 3-D pharmacophore and 3-D QSAR models, afterward used as tools for the virtual screening of National Cancer Institute datasets and hit-to-lead optimization. The procedure identified Brefeldin A ( BFA ) as hit, then structurally optimized toward twelve new derivatives whose anticancer activity was confirmed both in vitro and in vivo. Compounds as SERMs showed picomolar to low nanomolar potencies against ERα and were then investigated as antiproliferative agents against BC cell lines, as stimulators of p53 expression, as well as BC cell cycle arrest agents. Most active leads were finally profiled upon administration to female Wistar rats with pre-induced BC, after which 3DPQ-12 , 3DPQ-3 , 3DPQ-9 , 3DPQ-4 , 3DPQ-2 , and 3DPQ-1 represent potential candidates for BC therapy.
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- 2022
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11. Transcriptomic and genomic studies classify NKL54 as a histone deacetylase inhibitor with indirect influence on MEF2-dependent transcription.
- Author
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Minisini M, Di Giorgio E, Kerschbamer E, Dalla E, Faggiani M, Franforte E, Meyer-Almes FJ, Ragno R, Antonini L, Mai A, Fiorentino F, Rotili D, Chinellato M, Perin S, Cendron L, Weichenberger CX, Angelini A, and Brancolini C
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- Acetylation, Histone Deacetylases metabolism, MEF2 Transcription Factors genetics, Vorinostat pharmacology, Histone Deacetylase Inhibitors chemistry, Histone Deacetylase Inhibitors pharmacology, Transcriptome
- Abstract
In leiomyosarcoma class IIa HDACs (histone deacetylases) bind MEF2 and convert these transcription factors into repressors to sustain proliferation. Disruption of this complex with small molecules should antagonize cancer growth. NKL54, a PAOA (pimeloylanilide o-aminoanilide) derivative, binds a hydrophobic groove of MEF2, which is used as a docking site by class IIa HDACs. However, NKL54 could also act as HDAC inhibitor (HDACI). Therefore, it is unclear which activity is predominant. Here, we show that NKL54 and similar derivatives are unable to release MEF2 from binding to class IIa HDACs. Comparative transcriptomic analysis classifies these molecules as HDACIs strongly related to SAHA/vorinostat. Low expressed genes are upregulated by HDACIs, while abundant genes are repressed. This transcriptional resetting correlates with a reorganization of H3K27 acetylation around the transcription start site (TSS). Among the upregulated genes there are several BH3-only family members, thus explaining the induction of apoptosis. Moreover, NKL54 triggers the upregulation of MEF2 and the downregulation of class IIa HDACs. NKL54 also increases the binding of MEF2D to promoters of genes that are upregulated after treatment. In summary, although NKL54 cannot outcompete MEF2 from binding to class IIa HDACs, it supports MEF2-dependent transcription through several actions, including potentiation of chromatin binding., (© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.)
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- 2022
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12. Targeting the anti-apoptotic Bcl-2 family proteins: machine learning virtual screening and biological evaluation of new small molecules.
- Author
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Valentini E, D'Aguanno S, Di Martile M, Montesano C, Ferraresi V, Patsilinakos A, Sabatino M, Antonini L, Chiacchiarini M, Valente S, Mai A, Colotti G, Ragno R, Trisciuoglio D, and Del Bufalo D
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- Animals, Apoptosis, Cell Line, Tumor, Machine Learning, Mice, Mice, Nude, Molecular Docking Simulation, Myeloid Cell Leukemia Sequence 1 Protein, Apoptosis Regulatory Proteins metabolism, Melanoma
- Abstract
Bcl-2 family anti-apoptotic proteins are overexpressed in several hematological and solid tumors, and contribute to tumor formation, progression, and resistance to therapy. They represent a promising therapeutic avenue to explore for cancer treatment. Venetoclax, a Bcl-2 inhibitor is currently used for hematological malignancies or is undergoing clinical trials for either hematological or solid tumors. Despite these progresses, ongoing efforts are focusing on the identification and development of new molecules targeting Bcl-2 protein and/or other family members. Methods: Machine learning guided virtual screening followed by surface plasmon resonance, molecular docking and pharmacokinetic analyses were performed to identify new inhibitors of anti-apoptotic members of Bcl-2 family and their pharmacokinetic profile. The sensitivity of cancer cells from different origin to the identified compounds was evaluated both in in vitro (cell survival, apoptosis, autophagy) and in vivo (tumor growth in nude mice) preclinical models. Results: IS20 and IS21 were identified as potential new lead compounds able to bind Bcl-2, Bcl-xL and Mcl-1 recombinant proteins. Molecular docking investigation indicated IS20 and IS21 could bind into the Beclin-1 BH3 binding site of wild type Bcl-2, Bcl-xL and Mcl-1 proteins. In particular, although the IS21 docked conformation did not show a unique binding mode, it clearly showed its ability in flexibly adapting to either BH3 binding sites. Moreover, both IS20 and IS21 reduced cell viability, clonogenic ability and tumor sphere formation, and induced apoptosis in leukemic, melanoma and lung cancer cells. Autophagosome formation and maturation assays demonstrated induction of autophagic flux after treatment with IS20 or IS21. Experiments with z-VAD-fmk, a pan-caspase inhibitor, and chloroquine, a late-stage autophagy inhibitor, demonstrated the ability of the two compounds to promote apoptosis by autophagy. IS21 also reduced in vivo tumor growth of both human leukemia and melanoma models. Conclusion: Virtual screening coupled with in vitro and in vivo experimental data led to the identification of two new promising inhibitors of anti-apoptotic proteins with good efficacy in the binding to recombinant Bcl-2, Bcl-xL and Mcl-1 proteins, and against different tumor histotypes., Competing Interests: Competing Interests: The authors have declared that no competing interest exists., (© The author(s).)
- Published
- 2022
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