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Moatar AI, Chis AR, Nitusca D, Oancea C, Marian C, Sirbu IO. HB-EGF Plasmatic Level Contributes to the Development of Early Risk Prediction Nomogram for Severe COVID-19 Cases. Biomedicines 2024; 12:373. [PMID: 38397975 PMCID: PMC10886796 DOI: 10.3390/biomedicines12020373] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 01/27/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
(1) Background: Heparin-Binding Epidermal Growth Factor-like Growth Factor (HB-EGF) is involved in wound healing, cardiac hypertrophy, and heart development processes. Recently, circulant HB-EGF was reported upregulated in severely hospitalized COVID-19 patients. However, the clinical correlations of HB-EGF plasma levels with COVID-19 patients' characteristics have not been defined yet. In this study, we assessed the plasma HB-EGF correlations with the clinical and paraclinical patients' data, evaluated its predictive clinical value, and built a risk prediction model for severe COVID-19 cases based on the resulting significant prognostic markers. (2) Methods: Our retrospective study enrolled 75 COVID-19 patients and 17 control cases from May 2020 to September 2020. We quantified plasma HB-EGF levels using the sandwich ELISA technique. Correlations between HB-EGF plasma levels with clinical and paraclinical patients' data were calculated using two-tailed Spearman and Point-Biserial tests. Significantly upregulated parameters for severe COVID-19 cases were identified and selected to build a multivariate logistic regression prediction model. The clinical significance of the prediction model was assessed by risk prediction nomogram and decision curve analyses. (3) Results: HB-EGF plasma levels were significantly higher in the severe COVID-19 subgroup compared to the controls (p = 0.004) and moderate cases (p = 0.037). In the severe COVID-19 group, HB-EGF correlated with age (p = 0.028), pulse (p = 0.016), dyspnea (p = 0.014) and prothrombin time (PT) (p = 0.04). The multivariate risk prediction model built on seven identified risk parameters (age p = 0.043, HB-EGF p = 0.0374, Fibrinogen p = 0.009, PT p = 0.008, Creatinine p = 0.026, D-Dimers p = 0.024 and delta miR-195 p < 0.0001) identifies severe COVID-19 with AUC = 0.9556 (p < 0.0001). The decision curve analysis revealed that the nomogram model is clinically relevant throughout a wide threshold probability range. (4) Conclusions: Upregulated HB-EGF plasma levels might serve as a prognostic factor for severe COVID-19 and help build a reliable risk prediction nomogram that improves the identification of high-risk patients at an early stage of COVID-19.
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Affiliation(s)
- Alexandra Ioana Moatar
- Doctoral School, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania; (A.I.M.); (D.N.)
- Department of Biochemistry, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania (I.-O.S.)
- Center for Complex Network Science, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania
| | - Aimee Rodica Chis
- Department of Biochemistry, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania (I.-O.S.)
- Center for Complex Network Science, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania
| | - Diana Nitusca
- Doctoral School, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania; (A.I.M.); (D.N.)
- Department of Biochemistry, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania (I.-O.S.)
- Center for Complex Network Science, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania
| | - Cristian Oancea
- Department of Pneumology, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania
| | - Catalin Marian
- Department of Biochemistry, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania (I.-O.S.)
- Center for Complex Network Science, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania
| | - Ioan-Ovidiu Sirbu
- Department of Biochemistry, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania (I.-O.S.)
- Center for Complex Network Science, University of Medicine and Pharmacy “Victor Babes”, 300041 Timisoara, Romania
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Maries L, Moatar AI, Sala-Cirtog M, Sima L, Anghel A, Marian C, Chis AR, Sirbu IO. Clinical Variables Influence the Ability of miR-101, miR-150, and miR-21 to Predict Ventricular Remodeling after ST-Elevation Myocardial Infarction. Biomedicines 2023; 11:2738. [PMID: 37893111 PMCID: PMC10604279 DOI: 10.3390/biomedicines11102738] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 09/29/2023] [Accepted: 10/05/2023] [Indexed: 10/29/2023] Open
Abstract
Left ventricle remodeling (LVR) after acute myocardial infarction (MI) leads to impairment of both systolic and diastolic function, a significant contributor to heart failure (HF). Despite extensive research in the field, predicting post-MI LVR and HF is still a challenge. Several circulant microRNAs have been proposed as LVR predictors; however, their clinical value is controversial. Here, we used real-time quantitative PCR to quantify the plasma levels of hsa-miR-101, hsa-miR-150, and hsa-miR-21 on the first day of hospital admission of MI patients with ST-elevation (STEMI). We analyzed their correlation to the patient's clinical and paraclinical variables and evaluated their ability to discriminate between post-MI LVR and non-LVR. We show that, despite being excellent MI discriminators, none of these microRNAs can distinguish between LVR and non-LVR patients. Furthermore, we found that diabetes mellitus (DM), Hb level, and the number of erythrocytes significantly influence all three plasma microRNA levels. This suggests that plasma microRNAs' diagnostic and prognostic value in STEMI patients should be reevaluated and interpreted in the context of associated pathologies.
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Affiliation(s)
- Liana Maries
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (M.S.-C.); (A.A.); (C.M.); (I.-O.S.)
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Alexandra Ioana Moatar
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (M.S.-C.); (A.A.); (C.M.); (I.-O.S.)
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Maria Sala-Cirtog
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (M.S.-C.); (A.A.); (C.M.); (I.-O.S.)
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Laurentiu Sima
- Surgical Semiology Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
| | - Andrei Anghel
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (M.S.-C.); (A.A.); (C.M.); (I.-O.S.)
| | - Catalin Marian
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (M.S.-C.); (A.A.); (C.M.); (I.-O.S.)
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Aimee Rodica Chis
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (M.S.-C.); (A.A.); (C.M.); (I.-O.S.)
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Ioan-Ovidiu Sirbu
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (M.S.-C.); (A.A.); (C.M.); (I.-O.S.)
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
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Moatar AI, Chis AR, Romanescu M, Ciordas PD, Nitusca D, Marian C, Oancea C, Sirbu IO. Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients. Sci Rep 2023; 13:13806. [PMID: 37612439 PMCID: PMC10447562 DOI: 10.1038/s41598-023-40754-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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 08/16/2023] [Indexed: 08/25/2023] Open
Abstract
Predicting the clinical course of Covid-19 is a challenging task, given the multi-systemic character of the disease and the paucity of minimally invasive biomarkers of disease severity. Here, we evaluated the early (first two days post-admission) level of circulating hsa-miR-195-5p (miR-195, a known responder to viral infections and SARS-CoV-2 interactor) in Covid-19 patients and assessed its potential as a biomarker of disease severity. We show that plasma miR-195 correlates with several clinical and paraclinical parameters, and is an excellent discriminator between the severe and mild forms of the disease. Our Gene Ontology analysis of miR-195 targets differentially expressed in Covid-19 indicates a strong impact on cardiac mitochondria homeostasis, suggesting a possible role in long Covid and chronic fatigue syndrome (CFS) syndromes.
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Affiliation(s)
- Alexandra Ioana Moatar
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
- Doctoral School, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
| | - Aimee Rodica Chis
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
- Center for Complex Network Science, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
| | - Mirabela Romanescu
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
- Doctoral School, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
| | - Paula-Diana Ciordas
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
- Doctoral School, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
| | - Diana Nitusca
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
- Doctoral School, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
| | - Catalin Marian
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
- Center for Complex Network Science, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania
| | - Cristian Oancea
- Department of Infectious Diseases, Discipline of Pulmonology, University of Medicine and Pharmacy "Victor Babes", E. Murgu Square no.2, 300041, Timisoara, Romania
- Center for Research and Innovation in Precision Medicine of Respiratory Diseases, "Victor Babes" University of Medicine and Pharmacy Timisoara, E. Murgu Square 2, 300041, Timisoara, Romania
| | - Ioan-Ovidiu Sirbu
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania.
- Center for Complex Network Science, University of Medicine and Pharmacy "Victor Babes", E Murgu Square no.2, 300041, Timisoara, Romania.
- Timisoara Institute of Complex Systems, 18 Vasile Lucaciu Str, 300044, Timisoara, Romania.
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Maries L, Moatar AI, Chis AR, Marian C, Luca CT, Sirbu IO, Gaiță D. Plasma hsa-miR-22-3p Might Serve as an Early Predictor of Ventricular Function Recovery after ST-Elevation Acute Myocardial Infarction. Biomedicines 2023; 11:2289. [PMID: 37626785 PMCID: PMC10452683 DOI: 10.3390/biomedicines11082289] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/07/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Left ventricle remodeling (LVR) after acute myocardial infarction (aMI) leads to impairment of both systolic and diastolic function, a major contributor to heart failure (HF). Despite extensive research, predicting post-aMI LVR and HF is still a challenge. Several circulant microRNAs have been proposed as LVR predictors; however, their clinical value is controversial. Here, we used real-time quantitative polymerase chain reaction (qRT-PCR) to quantify hsa-miR-22-3p (miR-22) plasma levels on the first day of hospital admission of ST-elevation aMI (STEMI) patients. We analyzed miR-22 correlation to the patients' clinical and paraclinical variables and evaluated its ability to discriminate between post-aMI LVR and non-LVR. We show that miR-22 is an excellent aMI discriminator and can distinguish between LVR and non-LVR patients. The discriminative performance of miR-22 significantly improves the predictive power of a multiple logistic regression model based on four continuous variables (baseline ejection fraction and end-diastolic volume, CK-MB, and troponin). Furthermore, we found that diabetes mellitus, hematocrit level, and the number of erythrocytes significantly influence its levels. These data suggest that miR-22 might be used as a predictor of ventricular function recovery in STEMI patients.
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Affiliation(s)
- Liana Maries
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (A.R.C.); (C.M.)
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Alexandra Ioana Moatar
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (A.R.C.); (C.M.)
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Aimee Rodica Chis
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (A.R.C.); (C.M.)
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Catalin Marian
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (A.R.C.); (C.M.)
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Constantin Tudor Luca
- Cardiology Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (C.T.L.); (D.G.)
- Research Center of the Institute of Cardiovascular Diseases Timisoara, 13A Gheorghe Adam Street, 300310 Timisoara, Romania
| | - Ioan-Ovidiu Sirbu
- Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (L.M.); (A.I.M.); (A.R.C.); (C.M.)
- Center for Complex Network Science, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Dan Gaiță
- Cardiology Department, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (C.T.L.); (D.G.)
- Research Center of the Institute of Cardiovascular Diseases Timisoara, 13A Gheorghe Adam Street, 300310 Timisoara, Romania
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Moatar AI, Chis AR, Marian C, Sirbu IO. Gene Network Analysis of the Transcriptome Impact of SARS-CoV-2 Interacting MicroRNAs in COVID-19 Disease. Int J Mol Sci 2022; 23:ijms23169239. [PMID: 36012503 PMCID: PMC9409149 DOI: 10.3390/ijms23169239] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/09/2022] [Accepted: 08/11/2022] [Indexed: 02/07/2023] Open
Abstract
According to the World Health Organization (WHO), as of June 2022, over 536 million confirmed COVID-19 disease cases and over 6.3 million deaths had been globally reported. COVID-19 is a multiorgan disease involving multiple intricated pathological mechanisms translated into clinical, biochemical, and molecular changes, including microRNAs. MicroRNAs are essential post-transcriptional regulators of gene expression, being involved in the modulation of most biological processes. In this study, we characterized the biological impact of SARS-CoV-2 interacting microRNAs differentially expressed in COVID-19 disease by analyzing their impact on five distinct tissue transcriptomes. To this end, we identified the microRNAs’ predicted targets within the list of differentially expressed genes (DEGs) in tissues affected by high loads of SARS-CoV-2 virus. Next, we submitted the tissue-specific lists of the predicted microRNA-targeted DEGs to gene network functional enrichment analysis. Our data show that the upregulated microRNAs control processes such as mitochondrial respiration and cytokine and cell surface receptor signaling pathways in the heart, lymph node, and kidneys. In contrast, downregulated microRNAs are primarily involved in processes related to the mitotic cell cycle in the heart, lung, and kidneys. Our study provides the first exploratory, systematic look into the biological impact of the microRNAs associated with COVID-19, providing a new perspective for understanding its multiorgan physiopathology.
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Affiliation(s)
- Alexandra Ioana Moatar
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy “Victor Babes”, E. Murgu Square No. 2, 300041 Timisoara, Romania
- Doctoral School, University of Medicine and Pharmacy “Victor Babes”, E. Murgu Square No. 2, 300041 Timisoara, Romania
- Center for Complex Network Science, University of Medicine and Pharmacy “Victor Babes”, E. Murgu Square No. 2, 300041 Timisoara, Romania
| | - Aimee Rodica Chis
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy “Victor Babes”, E. Murgu Square No. 2, 300041 Timisoara, Romania
- Center for Complex Network Science, University of Medicine and Pharmacy “Victor Babes”, E. Murgu Square No. 2, 300041 Timisoara, Romania
| | - Catalin Marian
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy “Victor Babes”, E. Murgu Square No. 2, 300041 Timisoara, Romania
- Center for Complex Network Science, University of Medicine and Pharmacy “Victor Babes”, E. Murgu Square No. 2, 300041 Timisoara, Romania
| | - Ioan-Ovidiu Sirbu
- Department of Biochemistry and Pharmacology, Discipline of Biochemistry, University of Medicine and Pharmacy “Victor Babes”, E. Murgu Square No. 2, 300041 Timisoara, Romania
- Center for Complex Network Science, University of Medicine and Pharmacy “Victor Babes”, E. Murgu Square No. 2, 300041 Timisoara, Romania
- Correspondence: ; Tel.: +40-756-136-272
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Chis AR, Moatar AI, Dijmarescu C, Rosca C, Vorovenci RJ, Krabbendam I, Dolga A, Bejinar C, Marian C, Sirbu IO, Simu M. Plasma hsa-mir-19b is a potential LevoDopa therapy marker. J Cell Mol Med 2021; 25:8715-8724. [PMID: 34328686 PMCID: PMC8435426 DOI: 10.1111/jcmm.16827] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 06/24/2021] [Accepted: 07/10/2021] [Indexed: 12/12/2022] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disorder among the elderly, the diagnostic and prognostic of which is based mostly on clinical signs. LevoDopa replacement is the gold standard therapy for PD, as it ameliorates the motor symptoms. However, it does not affect the progression of the disease and its long‐term use triggers severe complications. There are no bona fide biomarkers for monitoring the patients’ response to LevoDopa and predicting the efficacy of levodopa treatment. Here, we have combined qPCR microRNA array screening with analysis of validated miRs in naïve versus Levodopa‐treated PD patients. We have identified plasma miR‐19b as a possible biomarker for LevoDopa therapy and validated this result in human differentiated dopaminergic neurons exposed to LevoDopa. In silico analysis suggests that the LevoDopa‐induced miR‐19b regulates ubiquitin‐mediated proteolysis.
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Affiliation(s)
- Aimee Rodica Chis
- Department of Biochemistry, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.,Center for Complex Networks Science, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania
| | - Alexandra Ioana Moatar
- Department of Biochemistry, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.,Center for Complex Networks Science, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania
| | - Cristina Dijmarescu
- Department of Neurology, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.,Neurology Clinic I, Timisoara Emergency County Hospital, Timisoara, Romania
| | - Cecilia Rosca
- Department of Neurology, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.,Neurology Clinic I, Timisoara Emergency County Hospital, Timisoara, Romania
| | - Ruxandra Julia Vorovenci
- Department of Neurology, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.,Neurology Clinic I, Timisoara Emergency County Hospital, Timisoara, Romania.,Neurology Clinic, SRH Klinikum Karlsbad-Langensteinbach, Karlsbad, Germany
| | - Inge Krabbendam
- Department of Molecular Pharmacology, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands
| | - Amalia Dolga
- Department of Molecular Pharmacology, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands
| | - Cristina Bejinar
- Department of Biochemistry, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania
| | - Catalin Marian
- Department of Biochemistry, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.,Center for Complex Networks Science, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania
| | - Ioan Ovidiu Sirbu
- Department of Biochemistry, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.,Center for Complex Networks Science, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania
| | - Mihaela Simu
- Department of Neurology, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.,Neurology Clinic I, Timisoara Emergency County Hospital, Timisoara, Romania
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