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Barbagallo C, Stella M, Di Mauro S, Scamporrino A, Filippello A, Scionti F, Di Martino MT, Purrello M, Ragusa M, Purrello F, Piro S. An Uncharacterised lncRNA Coded by the ASAP1 Locus Is Downregulated in Serum of Type 2 Diabetes Mellitus Patients. Int J Mol Sci 2023; 24:13485. [PMID: 37686290 PMCID: PMC10488254 DOI: 10.3390/ijms241713485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/23/2023] [Accepted: 08/27/2023] [Indexed: 09/10/2023] Open
Abstract
Diabetes mellitus (DM) is a complex and multifactorial disease characterised by high blood glucose. Type 2 Diabetes (T2D), the most frequent clinical condition accounting for about 90% of all DM cases worldwide, is a chronic disease with slow development usually affecting middle-aged or elderly individuals. T2D represents a significant problem of public health today because its incidence is constantly growing among both children and adults. It is also estimated that underdiagnosis prevalence would strongly further increase the real incidence of the disease, with about half of T2D patients being undiagnosed. Therefore, it is important to increase diagnosis accuracy. The current interest in RNA molecules (both protein- and non-protein-coding) as potential biomarkers for diagnosis, prognosis, and treatment lies in the ease and low cost of isolation and quantification with basic molecular biology techniques. In the present study, we analysed the transcriptome in serum samples collected from T2D patients and unaffected individuals to identify potential RNA-based biomarkers. Microarray-based profiling and subsequent validation using Real-Time PCR identified an uncharacterised long non-coding RNA (lncRNA) transcribed from the ASAP1 locus as a potential diagnostic biomarker. ROC curve analysis showed that a molecular signature including the lncRNA and the clinicopathological parameters of T2D patients as well as unaffected individuals showed a better diagnostic performance compared with the glycated haemoglobin test (HbA1c). This result suggests that the application of this biomarker in clinical practice would help to improve the diagnosis, and therefore the clinical management, of T2D patients. The proposed biomarker would be useful in the context of predictive, preventive, and personalised medicine (3PM/PPPM).
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Affiliation(s)
- Cristina Barbagallo
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (C.B.); (M.S.); (M.P.)
| | - Michele Stella
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (C.B.); (M.S.); (M.P.)
| | - Stefania Di Mauro
- Department of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy; (S.D.M.); (A.S.); (A.F.); (F.P.); (S.P.)
| | - Alessandra Scamporrino
- Department of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy; (S.D.M.); (A.S.); (A.F.); (F.P.); (S.P.)
| | - Agnese Filippello
- Department of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy; (S.D.M.); (A.S.); (A.F.); (F.P.); (S.P.)
| | - Francesca Scionti
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy; (F.S.); (M.T.D.M.)
| | - Maria Teresa Di Martino
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy; (F.S.); (M.T.D.M.)
| | - Michele Purrello
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (C.B.); (M.S.); (M.P.)
| | - Marco Ragusa
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy; (C.B.); (M.S.); (M.P.)
| | - Francesco Purrello
- Department of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy; (S.D.M.); (A.S.); (A.F.); (F.P.); (S.P.)
| | - Salvatore Piro
- Department of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, 95122 Catania, Italy; (S.D.M.); (A.S.); (A.F.); (F.P.); (S.P.)
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Santiago JA, Quinn JP, Potashkin JA. Co-Expression Network Analysis Identifies Molecular Determinants of Loneliness Associated with Neuropsychiatric and Neurodegenerative Diseases. Int J Mol Sci 2023; 24:ijms24065909. [PMID: 36982982 PMCID: PMC10058494 DOI: 10.3390/ijms24065909] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/06/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
Loneliness and social isolation are detrimental to mental health and may lead to cognitive impairment and neurodegeneration. Although several molecular signatures of loneliness have been identified, the molecular mechanisms by which loneliness impacts the brain remain elusive. Here, we performed a bioinformatics approach to untangle the molecular underpinnings associated with loneliness. Co-expression network analysis identified molecular 'switches' responsible for dramatic transcriptional changes in the nucleus accumbens of individuals with known loneliness. Loneliness-related switch genes were enriched in cell cycle, cancer, TGF-β, FOXO, and PI3K-AKT signaling pathways. Analysis stratified by sex identified switch genes in males with chronic loneliness. Male-specific switch genes were enriched in infection, innate immunity, and cancer-related pathways. Correlation analysis revealed that loneliness-related switch genes significantly overlapped with 82% and 68% of human studies on Alzheimer's (AD) and Parkinson's diseases (PD), respectively, in gene expression databases. Loneliness-related switch genes, BCAM, NECTIN2, NPAS3, RBM38, PELI1, DPP10, and ASGR2, have been identified as genetic risk factors for AD. Likewise, switch genes HLA-DRB5, ALDOA, and GPNMB are known genetic loci in PD. Similarly, loneliness-related switch genes overlapped in 70% and 64% of human studies on major depressive disorder and schizophrenia, respectively. Nine switch genes, HLA-DRB5, ARHGAP15, COL4A1, RBM38, DMD, LGALS3BP, WSCD2, CYTH4, and CNTRL, overlapped with known genetic variants in depression. Seven switch genes, NPAS3, ARHGAP15, LGALS3BP, DPP10, SMYD3, CPXCR1, and HLA-DRB5 were associated with known risk factors for schizophrenia. Collectively, we identified molecular determinants of loneliness and dysregulated pathways in the brain of non-demented adults. The association of switch genes with known risk factors for neuropsychiatric and neurodegenerative diseases provides a molecular explanation for the observed prevalence of these diseases among lonely individuals.
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Affiliation(s)
| | | | - Judith A Potashkin
- Center for Neurodegenerative Diseases and Therapeutics, Cellular and Molecular Pharmacology Department, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL 60064, USA
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Do Extracellular RNAs Provide Insight into Uveal Melanoma Biology? Cancers (Basel) 2021; 13:cancers13235919. [PMID: 34885029 PMCID: PMC8657116 DOI: 10.3390/cancers13235919] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary The study of RNAs in the extracellular environment in physiological and pathological conditions has become a growing field of research with intriguing applications in diagnostics and prognostics. Such extracellular RNAs are passively or actively released by all cells into biological fluids to spread biological signals to other cells. The perturbation of such RNA-based cell-to-cell communications in cancer can be easily identified by molecular analysis of liquid biopsies, even if source cells secreting RNAs are often elusive. In uveal melanoma (UM), extracellular RNAs can be assayed in serum, plasma, and vitreous and aqueous humor. In this review, we explore the possibility that extracellular RNA alterations in UM could partially match with RNA dysregulations observed in tumor tissues and provide information to better understand UM biology. Abstract Uveal melanoma (UM) is the most common primary intraocular malignant tumor in adults, showing a high mortality due to metastasis. Although it is considered a rare disease, a growing number of papers have reported altered levels of RNAs (i.e., coding and non-coding RNAs) in cancerous tissues and biological fluids from UM patients. The presence of circulating RNAs, whose dysregulation is associated with UM, paved the way to the possibility of exploiting it for diagnostic and prognostic purposes. However, the biological meaning and the origin of such RNAs in blood and ocular fluids of UM patients remain unexplored. In this review, we report the state of the art of circulating RNAs in UM and debate whether the amount and types of RNAs measured in bodily fluids mirror the RNA alterations from source cancer cells. Based on literature data, extracellular RNAs in UM patients do not represent, with rare exceptions, a snapshot of RNA dysregulations occurring in cancerous tissues, but rather the complex and heterogeneous outcome of a systemic dysfunction, including immune system activity, that modifies the mechanisms of RNA delivery from several cell types.
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Clinical and Molecular Biomarkers for Diagnosis and Staging of NAFLD. Int J Mol Sci 2021; 22:ijms222111905. [PMID: 34769333 PMCID: PMC8585051 DOI: 10.3390/ijms222111905] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 10/30/2021] [Accepted: 10/30/2021] [Indexed: 12/16/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common hepatic pathology in industrialized countries, affecting about 25% of the general population. NAFLD is a benign condition, however, it could evolve toward more serious diseases, including non-alcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and finally, hepatocellular carcinoma (HCC). Liver biopsy is still the gold standard for NAFLD diagnosis. Due to the risks associated with liver biopsy and the impossibility to apply it on a large scale, it is now necessary to identify non-invasive biomarkers, which may reliably identify patients at higher risk of progression. Therefore, several lines of research have tried to address this issue by identifying novel biomarkers using omics approaches, including lipidomics, metabolomics and RNA molecules' profiling. Thus, in this review, we firstly report the conventional biomarkers used in clinical practice for NAFL and NASH diagnosis as well as fibrosis staging, and secondly, we pay attention to novel biomarkers discovered through omics approaches with a particular focus on RNA biomarkers (microRNAs, long-noncoding RNAs), showing promising diagnostic performance for NAFL/NASH diagnosis and fibrosis staging.
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Lombardi G, Paganelli R, Abate M, Ireland A, Molino-Lova R, Sorbi S, Macchi C, Pellegrino R, Di Iorio A, Cecchi F. Leukocyte-derived ratios are associated with late-life any type dementia: a cross-sectional analysis of the Mugello study. GeroScience 2021; 43:2785-2793. [PMID: 34674153 PMCID: PMC8529862 DOI: 10.1007/s11357-021-00474-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 10/11/2021] [Indexed: 11/01/2022] Open
Abstract
Immunosenescence, vascular aging, and brain aging, all characterized by elevated levels of inflammatory markers, are thought to share a common pathogenetic pathway: inflamm-aging. Retrospective cross-sectional analysis was conducted using data from the Mugello study (Tuscany, Italy), a representative Italian cohort of free-living nonagenarians. to assess the association between specific peripheral inflammation markers derived from white blood cell counts, and the diagnosis of dementia. All the variables of interest were reported for 411 subjects (110 males and 301 females) out of 475 enrolled in the study. Anamnestic dementia diagnosis was obtained from clinical certificate and confirmed by a General Practitioner, whereas leukocyte ratios were directly calculated from white blood cell counts. Body mass index and comorbidities were considered potential confounders. Diagnosis of any type dementia was certified in 73 cases (17.8%). Subjects affected by dementia were older, more frequently reported a previous stroke, had lower body mass index, and lower Mini-Mental-State-Examination score. Moreover, they had a higher lymphocyte count and lymphocyte-to-monocyte ratio compared to the non-demented nonagenarians. We found that higher levels of lymphocyte counts are cross-sectionally associated with a clinical diagnosis of dementia. Furthermore, lymphocyte-to-monocyte ratio is directly associated with any type of dementia, independently of age, sex, lymphocyte count, and comorbidities. Lymphocyte-to-monocyte ratio may be considered a marker of immunological changes in the brain of dementia patients; moreover, it is low-cost, and easily available, thus enabling comparisons among different studies and populations, although the timeline and the extent of lymphocyte-to-monocyte ratio role in dementia development must be further investigated.
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Affiliation(s)
- Gemma Lombardi
- IRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci 269, 50143, Florence, Italy.,Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Roberto Paganelli
- Department of Medicine and Science of Aging, Laboratory of Clinical Epidemiology and Aging, University Centre of Sports Medicine, University "G. d'Annunzio, Viale Abruzzo 322, Chieti, Italy.,Institute of Clinical Immunotherapy and Advanced Biological Treatments, YDA, Pescara, Italy
| | - Michele Abate
- Department of Medicine and Science of Aging, Laboratory of Clinical Epidemiology and Aging, University Centre of Sports Medicine, University "G. d'Annunzio, Viale Abruzzo 322, Chieti, Italy
| | - Alex Ireland
- Department of Life Sciences, Musculoskeletal Science and Sports Medicine Research Centre, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester, M1 5GD, UK
| | - Raffaele Molino-Lova
- IRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci 269, 50143, Florence, Italy
| | - Sandro Sorbi
- IRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci 269, 50143, Florence, Italy.,Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Claudio Macchi
- IRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci 269, 50143, Florence, Italy.,Department of Experimental and Clinical Medicine, Università Di Firenze, Largo Brambilla 3, 50100, Florence, Italy
| | - Raffaello Pellegrino
- Department of Medicine and Science of Aging, Laboratory of Clinical Epidemiology and Aging, University Centre of Sports Medicine, University "G. d'Annunzio, Viale Abruzzo 322, Chieti, Italy
| | - Angelo Di Iorio
- Department of Medicine and Science of Aging, Laboratory of Clinical Epidemiology and Aging, University Centre of Sports Medicine, University "G. d'Annunzio, Viale Abruzzo 322, Chieti, Italy.
| | - Francesca Cecchi
- IRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci 269, 50143, Florence, Italy.,Department of Experimental and Clinical Medicine, Università Di Firenze, Largo Brambilla 3, 50100, Florence, Italy
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Stella M, Falzone L, Caponnetto A, Gattuso G, Barbagallo C, Battaglia R, Mirabella F, Broggi G, Altieri R, Certo F, Caltabiano R, Barbagallo GMV, Musumeci P, Ragusa M, Pietro CD, Libra M, Purrello M, Barbagallo D. Serum Extracellular Vesicle-Derived circHIPK3 and circSMARCA5 Are Two Novel Diagnostic Biomarkers for Glioblastoma Multiforme. Pharmaceuticals (Basel) 2021; 14:ph14070618. [PMID: 34198978 PMCID: PMC8308516 DOI: 10.3390/ph14070618] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/22/2021] [Accepted: 06/25/2021] [Indexed: 01/05/2023] Open
Abstract
Glioblastoma multiforme (GBM) is the most frequent and deadly human brain cancer. Early diagnosis through non-invasive biomarkers may render GBM more easily treatable, improving the prognosis of this currently incurable disease. We suggest the use of serum extracellular vesicle (sEV)-derived circular RNAs (circRNAs) as highly stable minimally invasive diagnostic biomarkers for GBM diagnosis. EVs were isolated by size exclusion chromatography from sera of 23 GBM and 5 grade 3 glioma (GIII) patients, and 10 unaffected controls (UC). The expression of two candidate circRNAs (circSMARCA5 and circHIPK3) was assayed by droplet digital PCR. CircSMARCA5 and circHIPK3 were significantly less abundant in sEVs from GBM patients with respect to UC (fold-change (FC) of -2.15 and -1.92, respectively) and GIII (FC of -1.75 and -1.4, respectively). Receiver operating characteristic curve (ROC) analysis, based on the expression of sEV-derived circSMARCA5 and circHIPK3, allowed us to distinguish GBM from UC (area under the curve (AUC) 0.823 (0.667-0.979) and 0.855 (0.704 to 1.000), with a 95% confidence interval (CI), respectively). Multivariable ROC analysis, performed by combining the expression of sEV-derived circSMARCA5 and circHIPK3 with preoperative neutrophil to lymphocyte (NLR), platelet to lymphocyte (PLR) and lymphocyte to monocyte (LMR) ratios, three known diagnostic and prognostic GBM markers, allowed an improvement in the GBM diagnostic accuracy (AUC 0.901 (0.7912 to 1.000), 95% CI). Our data suggest sEV-derived circSMARCA5 and circHIPK3 as good diagnostic biomarkers for GBM, especially when associated with preoperative NLR, PLR and LMR.
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Affiliation(s)
- Michele Stella
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Luca Falzone
- Department of Biomedical and Biotechnological Sciences, Section of Pathology, University of Catania, 95123 Catania, Italy; (L.F.); (G.G.); (M.L.)
| | - Angela Caponnetto
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Giuseppe Gattuso
- Department of Biomedical and Biotechnological Sciences, Section of Pathology, University of Catania, 95123 Catania, Italy; (L.F.); (G.G.); (M.L.)
| | - Cristina Barbagallo
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Rosalia Battaglia
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Federica Mirabella
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Giuseppe Broggi
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Section of Anatomic Pathology, University of Catania, 95123 Catania, Italy; (G.B.); (R.C.)
| | - Roberto Altieri
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Neurological Surgery, Policlinico “Rodolico-San Marco” University Hospital, University of Catania, 95123 Catania, Italy; (R.A.); (F.C.); (G.M.V.B.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
| | - Francesco Certo
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Neurological Surgery, Policlinico “Rodolico-San Marco” University Hospital, University of Catania, 95123 Catania, Italy; (R.A.); (F.C.); (G.M.V.B.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
| | - Rosario Caltabiano
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Section of Anatomic Pathology, University of Catania, 95123 Catania, Italy; (G.B.); (R.C.)
| | - Giuseppe Maria Vincenzo Barbagallo
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Neurological Surgery, Policlinico “Rodolico-San Marco” University Hospital, University of Catania, 95123 Catania, Italy; (R.A.); (F.C.); (G.M.V.B.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
| | - Paolo Musumeci
- Department of Physics and Astronomy, University of Catania, 95123 Catania, Italy;
| | - Marco Ragusa
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
| | - Cinzia Di Pietro
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
| | - Massimo Libra
- Department of Biomedical and Biotechnological Sciences, Section of Pathology, University of Catania, 95123 Catania, Italy; (L.F.); (G.G.); (M.L.)
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, 95123 Catania, Italy
| | - Michele Purrello
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
| | - Davide Barbagallo
- Department of Biomedical and Biotechnological Sciences, Section of Biology and Genetics Giovanni Sichel, University of Catania, 95123 Catania, Italy; (M.S.); (A.C.); (C.B.); (R.B.); (F.M.); (M.R.); (C.D.P.); (M.P.)
- Interdisciplinary Research Centre on the Diagnosis and Therapy of Brain Tumors, University of Catania, 95123 Catania, Italy
- Correspondence: ; Tel.: +39-0953782089
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