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Pasławska M, Grodzka A, Peczyńska J, Sawicka B, Bossowski AT. Role of miRNA in Cardiovascular Diseases in Children-Systematic Review. Int J Mol Sci 2024; 25:956. [PMID: 38256030 PMCID: PMC10816020 DOI: 10.3390/ijms25020956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 12/26/2023] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
The number of children suffering from cardiovascular diseases (CVDs) is rising globally. Therefore, there is an urgent need to acquire a better understanding of the genetic factors and molecular mechanisms related to the pathogenesis of CVDs in order to develop new prevention and treatment strategies for the future. MicroRNAs (miRNAs) constitute a class of small non-coding RNA fragments that range from 17 to 25 nucleotides in length and play an essential role in regulating gene expression, controlling an abundance of biological aspects of cell life, such as proliferation, differentiation, and apoptosis, thus affecting immune response, stem cell growth, ageing and haematopoiesis. In recent years, the concept of miRNAs as diagnostic markers allowing discrimination between healthy individuals and those affected by CVDs entered the purview of academic debate. In this review, we aimed to systematise available information regarding miRNAs associated with arrhythmias, cardiomyopathies, myocarditis and congenital heart diseases in children. We focused on the targeted genes and metabolic pathways influenced by those particular miRNAs, and finally, tried to determine the future of miRNAs as novel biomarkers of CVD.
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Affiliation(s)
| | | | | | | | - Artur Tadeusz Bossowski
- Department of Pediatrics, Endocrinology, Diabetology with Cardiology Divisions, Medical University of Bialystok, J. Waszyngtona 17, 15-274 Bialystok, Poland; (M.P.); (A.G.); (J.P.); (B.S.)
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2
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Skoufos G, Kakoulidis P, Tastsoglou S, Zacharopoulou E, Kotsira V, Miliotis M, Mavromati G, Grigoriadis D, Zioga M, Velli A, Koutou I, Karagkouni D, Stavropoulos S, Kardaras F, Lifousi A, Vavalou E, Ovsepian A, Skoulakis A, Tasoulis S, Georgakopoulos S, Plagianakos V, Hatzigeorgiou A. TarBase-v9.0 extends experimentally supported miRNA-gene interactions to cell-types and virally encoded miRNAs. Nucleic Acids Res 2024; 52:D304-D310. [PMID: 37986224 PMCID: PMC10767993 DOI: 10.1093/nar/gkad1071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/18/2023] [Accepted: 11/02/2023] [Indexed: 11/22/2023] Open
Abstract
TarBase is a reference database dedicated to produce, curate and deliver high quality experimentally-supported microRNA (miRNA) targets on protein-coding transcripts. In its latest version (v9.0, https://dianalab.e-ce.uth.gr/tarbasev9), it pushes the envelope by introducing virally-encoded miRNAs, interactions leading to target-directed miRNA degradation (TDMD) events and the largest collection of miRNA-gene interactions to date in a plethora of experimental settings, tissues and cell-types. It catalogues ∼6 million entries, comprising ∼2 million unique miRNA-gene pairs, supported by 37 experimental (high- and low-yield) protocols in 172 tissues and cell-types. Interactions are annotated with rich metadata including information on genes/transcripts, miRNAs, samples, experimental contexts and publications, while millions of miRNA-binding locations are also provided at cell-type resolution. A completely re-designed interface with state-of-the-art web technologies, incorporates more features, and allows flexible and ingenious use. The new interface provides the capability to design sophisticated queries with numerous filtering criteria including cell lines, experimental conditions, cell types, experimental methods, species and/or tissues of interest. Additionally, a plethora of fine-tuning capacities have been integrated to the platform, offering the refinement of the returned interactions based on miRNA confidence and expression levels, while boundless local retrieval of the offered interactions and metadata is enabled.
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Affiliation(s)
- Giorgos Skoufos
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
- Hellenic Pasteur Institute, Athens11521, Greece
| | - Panos Kakoulidis
- Dept. of Informatics and Telecommunications, National and Kapodistrian Univ. of Athens, Athens, Greece
- Biomedical Research Foundation of the Academy of Athens, 11527Athens, Greece
| | - Spyros Tastsoglou
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
- Hellenic Pasteur Institute, Athens11521, Greece
| | - Elissavet Zacharopoulou
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
- Hellenic Pasteur Institute, Athens11521, Greece
| | - Vasiliki Kotsira
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
- Hellenic Pasteur Institute, Athens11521, Greece
| | - Marios Miliotis
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
- Hellenic Pasteur Institute, Athens11521, Greece
| | - Galatea Mavromati
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
| | - Dimitris Grigoriadis
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
| | - Maria Zioga
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
| | - Angeliki Velli
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
| | - Ioanna Koutou
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
| | - Dimitra Karagkouni
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
- Hellenic Pasteur Institute, Athens11521, Greece
| | - Steve Stavropoulos
- Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
| | - Filippos S Kardaras
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
- Hellenic Pasteur Institute, Athens11521, Greece
| | - Anna Lifousi
- Technical University of Denmark – Department of Health Technology, Copenhagen, Denmark
| | - Eustathia Vavalou
- Department of Biology, National and Kapodistrian University of Athens, 15784Athens, Greece
| | - Armen Ovsepian
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
- Hellenic Pasteur Institute, Athens11521, Greece
| | - Anargyros Skoulakis
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
- Hellenic Pasteur Institute, Athens11521, Greece
| | - Sotiris K Tasoulis
- Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
| | | | - Vassilis P Plagianakos
- Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
| | - Artemis G Hatzigeorgiou
- DIANA-Lab, Dept. of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
- Hellenic Pasteur Institute, Athens11521, Greece
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3
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Zulian V, Fiscon G, Paci P, Garbuglia AR. Hepatitis B Virus and microRNAs: A Bioinformatics Approach. Int J Mol Sci 2023; 24:17224. [PMID: 38139051 PMCID: PMC10743825 DOI: 10.3390/ijms242417224] [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: 10/12/2023] [Revised: 11/20/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
In recent decades, microRNAs (miRNAs) have emerged as key regulators of gene expression, and the identification of viral miRNAs (v-miRNAs) within some viruses, including hepatitis B virus (HBV), has attracted significant attention. HBV infections often progress to chronic states (CHB) and may induce fibrosis/cirrhosis and hepatocellular carcinoma (HCC). The presence of HBV can dysregulate host miRNA expression, influencing several biological pathways, such as apoptosis, innate and immune response, viral replication, and pathogenesis. Consequently, miRNAs are considered a promising biomarker for diagnostic, prognostic, and treatment response. The dynamics of miRNAs during HBV infection are multifaceted, influenced by host variability and miRNA interactions. Given the ability of miRNAs to target multiple messenger RNA (mRNA), understanding the viral-host (human) interplay is complex but essential to develop novel clinical applications. Therefore, bioinformatics can help to analyze, identify, and interpret a vast amount of miRNA data. This review explores the bioinformatics tools available for viral and host miRNA research. Moreover, we introduce a brief overview focusing on the role of miRNAs during HBV infection. In this way, this review aims to help the selection of the most appropriate bioinformatics tools based on requirements and research goals.
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Affiliation(s)
- Verdiana Zulian
- Virology Laboratory, National Institute for Infectious Diseases “Lazzaro Spallanzani” IRCCS, 00149 Rome, Italy;
| | - Giulia Fiscon
- Department of Computer, Control and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy; (G.F.); (P.P.)
- Institute for Systems Analysis and Computer Science “Antonio Ruberti”, National Research Council, 00185 Rome, Italy
| | - Paola Paci
- Department of Computer, Control and Management Engineering, Sapienza University of Rome, 00185 Rome, Italy; (G.F.); (P.P.)
- Institute for Systems Analysis and Computer Science “Antonio Ruberti”, National Research Council, 00185 Rome, Italy
| | - Anna Rosa Garbuglia
- Virology Laboratory, National Institute for Infectious Diseases “Lazzaro Spallanzani” IRCCS, 00149 Rome, Italy;
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Graham A. Modulation of the Cellular microRNA Landscape: Contribution to the Protective Effects of High-Density Lipoproteins (HDL). BIOLOGY 2023; 12:1232. [PMID: 37759631 PMCID: PMC10526091 DOI: 10.3390/biology12091232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 09/01/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023]
Abstract
High-density lipoproteins (HDL) play an established role in protecting against cellular dysfunction in a variety of different disease contexts; however, harnessing this therapeutic potential has proved challenging due to the heterogeneous and relative instability of this lipoprotein and its variable cargo molecules. The purpose of this study is to examine the contribution of microRNA (miRNA; miR) sequences, either delivered directly or modulated endogenously, to these protective functions. This narrative review introduces the complex cargo carried by HDL, the protective functions associated with this lipoprotein, and the factors governing biogenesis, export and the uptake of microRNA. The possible mechanisms by which HDL can modulate the cellular miRNA landscape are considered, and the impact of key sequences modified by HDL is explored in diseases such as inflammation and immunity, wound healing, angiogenesis, dyslipidaemia, atherosclerosis and coronary heart disease, potentially offering new routes for therapeutic intervention.
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Affiliation(s)
- Annette Graham
- Department of Biological and Biomedical Sciences, School of Health and Life Sciences, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK
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5
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Gouzouasis V, Tastsoglou S, Giannakakis A, Hatzigeorgiou AG. Virus-Derived Small RNAs and microRNAs in Health and Disease. Annu Rev Biomed Data Sci 2023; 6:275-298. [PMID: 37159873 DOI: 10.1146/annurev-biodatasci-122220-111429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
MicroRNAs (miRNAs) are short noncoding RNAs that can regulate all steps of gene expression (induction, transcription, and translation). Several virus families, primarily double-stranded DNA viruses, encode small RNAs (sRNAs), including miRNAs. These virus-derived miRNAs (v-miRNAs) help the virus evade the host's innate and adaptive immune system and maintain an environment of chronic latent infection. In this review, the functions of the sRNA-mediated virus-host interactions are highlighted, delineating their implication in chronic stress, inflammation, immunopathology, and disease. We provide insights into the latest viral RNA-based research-in silico approaches for functional characterization of v-miRNAs and other RNA types. The latest research can assist toward the identification of therapeutic targets to combat viral infections.
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Affiliation(s)
- Vasileios Gouzouasis
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
- Laboratory of Molecular Genetics, Department of Immunology, Hellenic Pasteur Institute, Athens, Greece
- DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece;
- DIANA-Lab, Hellenic Pasteur Institute, Athens, Greece
| | - Spyros Tastsoglou
- DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece;
- DIANA-Lab, Hellenic Pasteur Institute, Athens, Greece
| | - Antonis Giannakakis
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
- University Research Institute of Maternal and Child Health and Precision Medicine, UNESCO Chair on Adolescent Health Care, National and Kapodistrian University of Athens, Athens, Greece
| | - Artemis G Hatzigeorgiou
- DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece;
- DIANA-Lab, Hellenic Pasteur Institute, Athens, Greece
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6
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Tastsoglou S, Alexiou A, Karagkouni D, Skoufos G, Zacharopoulou E, Hatzigeorgiou AG. DIANA-microT 2023: including predicted targets of virally encoded miRNAs. Nucleic Acids Res 2023:7137452. [PMID: 37094027 DOI: 10.1093/nar/gkad283] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 04/19/2023] [Indexed: 04/26/2023] Open
Abstract
DIANA-microT-CDS is a state-of-the-art miRNA target prediction algorithm catering the scientific community since 2009. It is one of the first algorithms to predict miRNA binding sites in both the 3' Untranslated Region (3'-UTR) and the coding sequence (CDS) of transcripts, with increased performance. Its current version, DIANA-microT 2023 (www.microrna.gr/microt_webserver/), brings forward a significantly updated set of interactions. DIANA-microT-CDS has been executed utilizing annotation information from Ensembl v102, miRBase 22.1 and, for the first time, MirGeneDB 2.1, yielding more than 83 million interactions in human, mouse, rat, chicken, fly and worm species. Additionally, this version delivers predicted interactions of miRNAs encoded from 20 viruses against host transcripts from human, mouse and chicken species. Numerous resources have been interconnected into DIANA-microT, including DIANA-TarBase, plasmiR, HMDD, UCSC, dbSNP, ClinVar, as well as miRNA/gene abundance values for 369 distinct cell-lines/tissues. The server interface has been redesigned allowing users to use smart filtering options, identify abundance patterns of interest, pinpoint known SNPs residing on binding sites and obtain miRNA-disease information. The contents of DIANA-microT webserver are freely accessible and can also be locally downloaded without any login requirements.
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Affiliation(s)
- Spyros Tastsoglou
- DIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, Lamia 35131, Greece
- Hellenic Pasteur Institute, Athens 11521, Greece
| | - Athanasios Alexiou
- DIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, Lamia 35131, Greece
- Hellenic Pasteur Institute, Athens 11521, Greece
| | - Dimitra Karagkouni
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Giorgos Skoufos
- DIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, Lamia 35131, Greece
- Hellenic Pasteur Institute, Athens 11521, Greece
| | - Elissavet Zacharopoulou
- DIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, Lamia 35131, Greece
- Hellenic Pasteur Institute, Athens 11521, Greece
| | - Artemis G Hatzigeorgiou
- DIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, Lamia 35131, Greece
- Hellenic Pasteur Institute, Athens 11521, Greece
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7
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Jordan-Alejandre E, Campos-Parra AD, Castro-López DL, Silva-Cázares MB. Potential miRNA Use as a Biomarker: From Breast Cancer Diagnosis to Metastasis. Cells 2023; 12:cells12040525. [PMID: 36831192 PMCID: PMC9954167 DOI: 10.3390/cells12040525] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 02/08/2023] Open
Abstract
Breast cancer is the most common cancer in women. Despite advances in diagnosis and prognosis, distal metastases occur in these patients in up to 15% of cases within 3 years of diagnosis. The main organs in which BC metastasises are the bones, lungs, liver, and brain. Unfortunately, 90% of metastatic patients will die, making this an incurable disease. Researchers are therefore seeking biomarkers for diagnosis and metastasis in different organs. Optimally, such biomarkers should be easy to detect using, preferably, non-invasive methods, such as using miRNA molecules, which are small molecules of about 22 nt that have as their main function the post-transcriptional regulation of genes. Furthermore, due to their uncomplicated detection and reproducibility in the laboratory, they are a tool of complementary interest for diagnosis, prognosis, and treatment. With this in mind, in this review, we focus on describing the most current studies that propose using miRNA independently as a potential biomarker for the diagnosis and prediction of brain, lung, liver, and bone metastases, as well as to open a window of opportunity to deepen this area of study to eventually use miRNAs molecules in clinical practice for the benefit of BC patients.
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Affiliation(s)
- Euclides Jordan-Alejandre
- Posgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México, Ciudad de México 03100, Mexico
| | - Alma D. Campos-Parra
- Subdirección de Investigación Básica, Instituto Nacional de Cancerología, Ciudad de México 14080, Mexico
| | - Dora Luz Castro-López
- Facultad de Ingeniería, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78290, Mexico
| | - Macrina Beatriz Silva-Cázares
- Coordinación Académica Región Altiplano, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78760, Mexico
- Correspondence:
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Madè A, Greco S, Vausort M, Miliotis M, Schordan E, Baksi S, Zhang L, Baryshnikova E, Ranucci M, Cardani R, Fagherazzi G, Ollert M, Tastsoglou S, Vatsellas G, Hatzigeorgiou A, Firat H, Devaux Y, Martelli F. Association of miR-144 levels in the peripheral blood with COVID-19 severity and mortality. Sci Rep 2022; 12:20048. [PMID: 36414650 PMCID: PMC9681736 DOI: 10.1038/s41598-022-23922-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 11/07/2022] [Indexed: 11/24/2022] Open
Abstract
Coronavirus disease-2019 (COVID-19) can be asymptomatic or lead to a wide symptom spectrum, including multi-organ damage and death. Here, we explored the potential of microRNAs in delineating patient condition and predicting clinical outcome. Plasma microRNA profiling of hospitalized COVID-19 patients showed that miR-144-3p was dynamically regulated in response to COVID-19. Thus, we further investigated the biomarker potential of miR-144-3p measured at admission in 179 COVID-19 patients and 29 healthy controls recruited in three centers. In hospitalized patients, circulating miR-144-3p levels discriminated between non-critical and critical illness (AUCmiR-144-3p = 0.71; p = 0.0006), acting also as mortality predictor (AUCmiR-144-3p = 0.67; p = 0.004). In non-hospitalized patients, plasma miR-144-3p levels discriminated mild from moderate disease (AUCmiR-144-3p = 0.67; p = 0.03). Uncontrolled release of pro-inflammatory cytokines can lead to clinical deterioration. Thus, we explored the added value of a miR-144/cytokine combined analysis in the assessment of hospitalized COVID-19 patients. A miR-144-3p/Epidermal Growth Factor (EGF) combined score discriminated between non-critical and critical hospitalized patients (AUCmiR-144-3p/EGF = 0.81; p < 0.0001); moreover, a miR-144-3p/Interleukin-10 (IL-10) score discriminated survivors from nonsurvivors (AUCmiR-144-3p/IL-10 = 0.83; p < 0.0001). In conclusion, circulating miR-144-3p, possibly in combination with IL-10 or EGF, emerges as a noninvasive tool for early risk-based stratification and mortality prediction in COVID-19.
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Affiliation(s)
- Alisia Madè
- grid.419557.b0000 0004 1766 7370Molecular Cardiology Laboratory, IRCCS Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, MI Italy
| | - Simona Greco
- grid.419557.b0000 0004 1766 7370Molecular Cardiology Laboratory, IRCCS Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, MI Italy
| | - Melanie Vausort
- grid.451012.30000 0004 0621 531XCardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1445 Strassen, Luxembourg
| | - Marios Miliotis
- grid.418497.7Hellenic Pasteur Institute, 11521 Athens, Greece ,grid.410558.d0000 0001 0035 6670DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece
| | - Eric Schordan
- grid.450762.2Firalis SA, 35 Rue du Fort, 68330 Huningue, France
| | - Shounak Baksi
- grid.451012.30000 0004 0621 531XCardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1445 Strassen, Luxembourg
| | - Lu Zhang
- grid.451012.30000 0004 0621 531XBioinformatics Platform, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
| | - Ekaterina Baryshnikova
- grid.419557.b0000 0004 1766 7370Department of Cardiovascular Anesthesia and ICU, IRCCS Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, MI Italy
| | - Marco Ranucci
- grid.419557.b0000 0004 1766 7370Department of Cardiovascular Anesthesia and ICU, IRCCS Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, MI Italy
| | - Rosanna Cardani
- grid.419557.b0000 0004 1766 7370BioCor Biobank, UOC SMEL-1 of Clinical Pathology, Department of Pathology and Laboratory Medicine, IRCCS-Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, MI Italy
| | - Guy Fagherazzi
- grid.451012.30000 0004 0621 531XDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Markus Ollert
- grid.451012.30000 0004 0621 531XDepartment of Infection and Immunity, Luxembourg Institute of Health, 29, Rue Henri Koch, 4354 Esch-Sur-Alzette, Luxembourg ,grid.10825.3e0000 0001 0728 0170Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis (ORCA), University of Southern Denmark, 5000 Odense, Denmark
| | - Spyros Tastsoglou
- grid.418497.7Hellenic Pasteur Institute, 11521 Athens, Greece ,grid.410558.d0000 0001 0035 6670DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece
| | - Giannis Vatsellas
- grid.417593.d0000 0001 2358 8802Greek Genome Center, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
| | - Artemis Hatzigeorgiou
- grid.418497.7Hellenic Pasteur Institute, 11521 Athens, Greece ,grid.410558.d0000 0001 0035 6670DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece
| | - Hüseyin Firat
- grid.450762.2Firalis SA, 35 Rue du Fort, 68330 Huningue, France
| | - Yvan Devaux
- grid.451012.30000 0004 0621 531XCardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1445 Strassen, Luxembourg
| | - Fabio Martelli
- grid.419557.b0000 0004 1766 7370Molecular Cardiology Laboratory, IRCCS Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, MI Italy
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