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Rosito M, Maqbool J, Reccagni A, Giampaoli O, Sciubba F, Antonangeli F, Scavizzi F, Raspa M, Cordella F, Tondo L, Di Angelantonio S, Trettel F, Miccheli A, D'Alessandro G, Limatola C. Antibiotics treatment promotes vasculogenesis in the brain of glioma-bearing mice. Cell Death Dis 2024; 15:210. [PMID: 38480690 PMCID: PMC10937980 DOI: 10.1038/s41419-024-06578-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 02/20/2024] [Accepted: 02/26/2024] [Indexed: 03/17/2024]
Abstract
In recent years, several studies described the close relationship between the composition of gut microbiota and brain functions, highlighting the importance of gut-derived metabolites in mediating neuronal and glial cells cross-talk in physiological and pathological condition. Gut dysbiosis may affects cerebral tumors growth and progression, but the specific metabolites involved in this modulation have not been identified yet. Using a syngeneic mouse model of glioma, we have investigated the role of dysbiosis induced by the administration of non-absorbable antibiotics on mouse metabolome and on tumor microenvironment. We report that antibiotics treatment induced: (1) alteration of the gut and brain metabolome profiles; (2) modeling of tumor microenvironment toward a pro-angiogenic phenotype in which microglia and glioma cells are actively involved; (3) increased glioma stemness; (4) trans-differentiation of glioma cells into endothelial precursor cells, thus increasing vasculogenesis. We propose glycine as a metabolite that, in ABX-induced dysbiosis, shapes brain microenvironment and contributes to glioma growth and progression.
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Affiliation(s)
- Maria Rosito
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
- Center for Life Nanoscience & Neuroscience Istituto Italiano di Tecnologia@Sapienza, Rome, Italy
| | - Javeria Maqbool
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
| | - Alice Reccagni
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
| | - Ottavia Giampaoli
- Department of Environmental Biology, Sapienza University, Rome, Italy
- NMR-Based Metabolomics Laboratory (NMLab), Sapienza University, Rome, Italy
| | - Fabio Sciubba
- Department of Environmental Biology, Sapienza University, Rome, Italy
- NMR-Based Metabolomics Laboratory (NMLab), Sapienza University, Rome, Italy
| | - Fabrizio Antonangeli
- Institute of Molecular Biology and Pathology, National Research Council (CNR), Rome, Italy
| | | | | | - Federica Cordella
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
- Center for Life Nanoscience & Neuroscience Istituto Italiano di Tecnologia@Sapienza, Rome, Italy
| | - Lucrezia Tondo
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
- Center for Life Nanoscience & Neuroscience Istituto Italiano di Tecnologia@Sapienza, Rome, Italy
| | - Silvia Di Angelantonio
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
- Center for Life Nanoscience & Neuroscience Istituto Italiano di Tecnologia@Sapienza, Rome, Italy
| | - Flavia Trettel
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy.
| | - Alfredo Miccheli
- Department of Environmental Biology, Sapienza University, Rome, Italy
- NMR-Based Metabolomics Laboratory (NMLab), Sapienza University, Rome, Italy
| | - Giuseppina D'Alessandro
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
- IRCCS Neuromed, Pozzilli, IS, Italy
| | - Cristina Limatola
- IRCCS Neuromed, Pozzilli, IS, Italy.
- Department of Physiology and Pharmacology, Sapienza University, Laboratory Affiliated to Institute Pasteur Italia, Rome, Italy.
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Negri E, Fuscaldo W, Tofani S, Burghignoli P, Galli A. An efficient and accurate semi-analytical matching technique for waveguide-fed antennas. Sci Rep 2024; 14:3892. [PMID: 38365927 PMCID: PMC10873314 DOI: 10.1038/s41598-024-54034-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 02/07/2024] [Indexed: 02/18/2024] Open
Abstract
Several RF and microwave radiating devices, such as horn antennas, Fabry-Perot cavity antennas, and aperture-fed focusing devices, are excited through rectangular waveguides. The impedance matching of the overall system (from the waveguide feed to the radiating aperture) is a task of crucial importance that is often addressed by means of brute-force parameter-sweep full-wave analyses or blind optimization algorithms. In both cases, a significant amount of memory and time resources are required. For this purpose, we propose here a simple, yet effective solution, which only requires a single full-wave simulation and a semi-analytical procedure. The former is used to retrieve the antenna input impedance at the end of the waveguide port excitation. The semi-analytical procedure consists in a transmission-line equivalent circuit that models two waveguide discontinuities (namely two capacitive irises) within the waveguide section, whose position and geometric features are finely tuned to obtain a satisfactory impedance matching around the working frequency. The proposed method is shown to be effective in diverse and attractive application-oriented contexts, from the impedance matching of a Fabry-Perot cavity antenna to that of a wireless near-field link between two aperture-fed focusing devices. A remarkable agreement between full-wave simulations and numerical results is found in all cases. Thanks to its versatility, simplicity, and a rather low demand of computational resources, the proposed approach may become an essential tool for the effective design of waveguide-fed antennas.
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Affiliation(s)
- Edoardo Negri
- Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184, Rome, Italy.
| | - Walter Fuscaldo
- Istituto per la Microelettronica e Microsistemi, Consiglio Nazionale delle Ricerche, 00133, Rome, Italy
| | - Silvia Tofani
- Istituto per la Microelettronica e Microsistemi, Consiglio Nazionale delle Ricerche, 00133, Rome, Italy
| | - Paolo Burghignoli
- Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184, Rome, Italy
| | - Alessandro Galli
- Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184, Rome, Italy
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Tollis P, Vitiello E, Migliaccio F, D'Ambra E, Rocchegiani A, Garone MG, Bozzoni I, Rosa A, Carissimo A, Laneve P, Caffarelli E. The long noncoding RNA nHOTAIRM1 is necessary for differentiation and activity of iPSC-derived spinal motor neurons. Cell Death Dis 2023; 14:741. [PMID: 37963881 PMCID: PMC10646148 DOI: 10.1038/s41419-023-06196-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/19/2023] [Accepted: 09/28/2023] [Indexed: 11/16/2023]
Abstract
The mammalian nervous system is made up of an extraordinary array of diverse cells that form intricate functional connections. The programs underlying cell lineage specification, identity and function of the neuronal subtypes are managed by regulatory proteins and RNAs, which coordinate the succession of steps in a stereotyped temporal order. In the central nervous system (CNS), motor neurons (MNs) are responsible for controlling essential functions such as movement, breathing, and swallowing by integrating signal transmission from the cortex, brainstem, and spinal cord (SC) towards peripheral muscles. A prime role in guiding the progression of progenitor cells towards the MN fate has been largely attributed to protein factors. More recently, the relevance of a class of regulatory RNAs abundantly expressed in the CNS - the long noncoding RNAs (lncRNAs) - has emerged overwhelmingly. LncRNA-driven gene expression control is key to regulating any step of MN differentiation and function, and its derangement profoundly impacts neuronal pathophysiology. Here, we uncover a novel function for the neuronal isoform of HOTAIRM1 (nHOTAIRM1), a lncRNA specifically expressed in the SC. Using a model system that recapitulates spinal MN (spMN) differentiation, we show that nHOTAIRM1 intervenes in the binary cell fate decision between MNs and interneurons, acting as a pro-MN factor. Furthermore, human iPSC-derived spMNs without nHOTAIRM1 display altered neurite outgrowth, with a significant reduction of both branch and junction numbers. Finally, the expression of genes essential for synaptic connectivity and neurotransmission is also profoundly impaired when nHOTAIRM1 is absent in spMNs. Mechanistically, nHOTAIRM1 establishes both direct and indirect interactions with a number of target genes in the cytoplasm, being a novel post-transcriptional regulator of MN biology. Overall, our results indicate that the lncRNA nHOTAIRM1 is essential for the specification of MN identity and the acquisition of proper morphology and synaptic activity of post-mitotic MNs.
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Affiliation(s)
- Paolo Tollis
- Department of Biology and Biotechnologies "C. Darwin", Sapienza University of Rome, Rome, Italy
- Center for Life Nano-& Neuro-Science, Fondazione Istituto Italiano di Tecnologia, Rome, Italy
| | - Erika Vitiello
- Department of Biology and Biotechnologies "C. Darwin", Sapienza University of Rome, Rome, Italy
- Center for Human Technology, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy
| | - Francesco Migliaccio
- Department of Electrical Engineering and Information Technology, University Federico II, Naples, Italy
- Institute for Applied Mathematics "Mauro Picone", CNR, Naples, Italy
| | - Eleonora D'Ambra
- Center for Life Nano-& Neuro-Science, Fondazione Istituto Italiano di Tecnologia, Rome, Italy
| | - Anna Rocchegiani
- Department of Biology and Biotechnologies "C. Darwin", Sapienza University of Rome, Rome, Italy
- Division of Cell and Developmental Biology, Center for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria
| | - Maria Giovanna Garone
- Department of Biology and Biotechnologies "C. Darwin", Sapienza University of Rome, Rome, Italy
- The Novo Nordisk Foundation Center for Stem Cell Medicine, reNEW Melbourne, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia
- Stem Cell Biology Department, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia
| | - Irene Bozzoni
- Department of Biology and Biotechnologies "C. Darwin", Sapienza University of Rome, Rome, Italy
- Center for Life Nano-& Neuro-Science, Fondazione Istituto Italiano di Tecnologia, Rome, Italy
| | - Alessandro Rosa
- Department of Biology and Biotechnologies "C. Darwin", Sapienza University of Rome, Rome, Italy
- Center for Life Nano-& Neuro-Science, Fondazione Istituto Italiano di Tecnologia, Rome, Italy
| | | | - Pietro Laneve
- Institute of Molecular Biology and Pathology, Rome, CNR, Italy.
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Zingaro A, Vergara C, Dede' L, Regazzoni F, Quarteroni A. A comprehensive mathematical model for cardiac perfusion. Sci Rep 2023; 13:14220. [PMID: 37648701 PMCID: PMC10469210 DOI: 10.1038/s41598-023-41312-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 08/24/2023] [Indexed: 09/01/2023] Open
Abstract
The aim of this paper is to introduce a new mathematical model that simulates myocardial blood perfusion that accounts for multiscale and multiphysics features. Our model incorporates cardiac electrophysiology, active and passive mechanics, hemodynamics, valve modeling, and a multicompartment Darcy model of perfusion. We consider a fully coupled electromechanical model of the left heart that provides input for a fully coupled Navier-Stokes-Darcy Model for myocardial perfusion. The fluid dynamics problem is modeled in a left heart geometry that includes large epicardial coronaries, while the multicompartment Darcy model is set in a biventricular myocardium. Using a realistic and detailed cardiac geometry, our simulations demonstrate the biophysical fidelity of our model in describing cardiac perfusion. Specifically, we successfully validate the model reliability by comparing in-silico coronary flow rates and average myocardial blood flow with clinically established values ranges reported in relevant literature. Additionally, we investigate the impact of a regurgitant aortic valve on myocardial perfusion, and our results indicate a reduction in myocardial perfusion due to blood flow taken away by the left ventricle during diastole. To the best of our knowledge, our work represents the first instance where electromechanics, hemodynamics, and perfusion are integrated into a single computational framework.
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Affiliation(s)
- Alberto Zingaro
- MOX, Laboratory of Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy.
- ELEM Biotech S.L., Pier01, Palau de Mar, Plaça Pau Vila, 1, 08003, Barcelona, Spain.
| | - Christian Vergara
- LaBS, Dipartimento di Chimica, Materiali e Ingegneria Chimica "Giulio Natta", Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy
| | - Luca Dede'
- MOX, Laboratory of Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy
| | - Francesco Regazzoni
- MOX, Laboratory of Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy
| | - Alfio Quarteroni
- MOX, Laboratory of Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy
- Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Station 8, Av. Piccard, CH-1015, Lausanne, Switzerland
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D'Agostino A, Di Marco G, Marvelli S, Marchesini M, Rizzoli E, Rolfo MF, Canini A, Gismondi A. Neolithic dental calculi provide evidence for environmental proxies and consumption of wild edible fruits and herbs in central Apennines. Commun Biol 2022; 5:1384. [PMID: 36536113 PMCID: PMC9763411 DOI: 10.1038/s42003-022-04354-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022] Open
Abstract
Looking for a biological fingerprint relative to new aspects of the relationship between humans and natural environment during prehistoric times is challenging. Although many issues still need to be addressed in terms of authentication and identification, microparticles hidden in ancient dental calculus can provide interesting information for bridging this gap of knowledge. Here, we show evidence about the role of edible plants for the early Neolithic individuals in the central Apennines of the Italian peninsula and relative cultural landscape. Dental calculi from human and animal specimens exhumed at Grotta Mora Cavorso (Lazio), one of the largest prehistoric burial deposits, have returned an archaeobotanical record made up of several types of palaeoecological proxies. The organic fraction of this matrix was investigated by a multidisciplinary approach, whose novelty consisted in the application of next generation sequencing to ancient plant DNA fragments, specifically codifying for maturase K barcode gene. Panicoideae and Triticeae starches, together with genetic indicators of Rosaceae fruits, figs, and Lamiaceae herbs, suggested subsistence practices most likely still based on wild plant resources. On the other hand, pollen, and non-pollen palynomorphs allowed us to outline a general vegetational framework dominated by woodland patches alternated with meadows, where semi-permanent settlements could have been established.
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Affiliation(s)
- Alessia D'Agostino
- PhD Program in Evolutionary Biology and Ecology, Department of Biology, University of Rome Tor Vergata, Rome, Italy
- Laboratory of Botany, Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Gabriele Di Marco
- Laboratory of Botany, Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Silvia Marvelli
- Laboratorio di Palinologia e Archeobotanica-C.A.A. Giorgio Nicoli, San Giovanni in Persiceto, Bologna, Italy
| | - Marco Marchesini
- Laboratorio di Palinologia e Archeobotanica-C.A.A. Giorgio Nicoli, San Giovanni in Persiceto, Bologna, Italy
| | - Elisabetta Rizzoli
- Laboratorio di Palinologia e Archeobotanica-C.A.A. Giorgio Nicoli, San Giovanni in Persiceto, Bologna, Italy
| | - Mario Federico Rolfo
- Department of History, Culture and Society, University of Rome "Tor Vergata", Rome, Italy
| | - Antonella Canini
- Laboratory of Botany, Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Angelo Gismondi
- Laboratory of Botany, Department of Biology, University of Rome "Tor Vergata", Rome, Italy.
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