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Juanes‐Velasco P, García‐Vaquero ML, Landeira‐Viñuela A, Lopez‐Campos JL, Marín C, Lecrevisse Q, Arias‐Hidalgo C, Montalvillo E, Góngora R, Hernández Á, Fuentes M. Systematic evaluation of plasma signaling cascades by functional proteomics approaches: SARS-CoV-2 infection as model. Proteomics Clin Appl 2022; 16:e2100100. [PMID: 36168869 PMCID: PMC9537801 DOI: 10.1002/prca.202100100] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 09/09/2022] [Accepted: 09/21/2022] [Indexed: 12/30/2022]
Abstract
PURPOSE Acute phase reactants (APRs) play a critical role in inflammation. The difference in their physiological functions or the different dynamic ranges of these proteins in plasma makes it difficult to detect them simultaneously and to use several of these proteins as a tool in clinical practice. EXPERIMENTAL DESIGN A novel multiplex assay has been designed and optimized to carry out a high-throughput and simultaneous screening of APRs, allowing the detection of each of them at the same time and in their corresponding dynamic range. RESULTS Using Sars-CoV-2 infection as a model, it has been possible to profile different patterns of acute phase proteins that vary significantly between healthy and infected patients. In addition, severity profiles (acute respiratory distress syndrome and sepsis) have been established. CONCLUSIONS AND CLINICAL RELEVANCE Differential profiles in acute phase proteins can serve as a diagnostic and prognostic tool, among patient stratification. The design of this new platform for their simultaneous detection paves the way for them to be more extensive use in clinical practice.
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Affiliation(s)
- Pablo Juanes‐Velasco
- Department of Medicine and Cytometry General Service‐Nucleus, CIBERONCCancer Research Centre (IBMCC/CSIC/USAL/IBSAL)SalamancaSpain
| | - Marina L. García‐Vaquero
- Department of Medicine and Cytometry General Service‐Nucleus, CIBERONCCancer Research Centre (IBMCC/CSIC/USAL/IBSAL)SalamancaSpain
| | - Alicia Landeira‐Viñuela
- Department of Medicine and Cytometry General Service‐Nucleus, CIBERONCCancer Research Centre (IBMCC/CSIC/USAL/IBSAL)SalamancaSpain
| | - José Luis Lopez‐Campos
- Unidad Médico‐Quirúrgica de Enfermedades Respiratorias. Instituto de Biomedicina de Sevilla (IBiS)Hospital Universitario Virgen del Rocío/Universidad de SevillaSpain,Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES)Instituto de Salud Carlos IIIMadridSpain
| | - Carmen Marín
- Instituto de Biomedicina de Sevilla (IBiS)Hospital Universitario Virgen del RocíoSevillaSpain
| | - Quentin Lecrevisse
- Department of Medicine and Cytometry General Service‐Nucleus, CIBERONCCancer Research Centre (IBMCC/CSIC/USAL/IBSAL)SalamancaSpain
| | - Carlota Arias‐Hidalgo
- Department of Medicine and Cytometry General Service‐Nucleus, CIBERONCCancer Research Centre (IBMCC/CSIC/USAL/IBSAL)SalamancaSpain
| | - Enrique Montalvillo
- Department of Medicine and Cytometry General Service‐Nucleus, CIBERONCCancer Research Centre (IBMCC/CSIC/USAL/IBSAL)SalamancaSpain
| | - Rafael Góngora
- Department of Medicine and Cytometry General Service‐Nucleus, CIBERONCCancer Research Centre (IBMCC/CSIC/USAL/IBSAL)SalamancaSpain
| | - Ángela‐Patricia Hernández
- Department of Medicine and Cytometry General Service‐Nucleus, CIBERONCCancer Research Centre (IBMCC/CSIC/USAL/IBSAL)SalamancaSpain,Department of Pharmaceutical Sciences: Organic Chemistry; Faculty of PharmacyUniversity of Salamanca, CIETUS, IBSALSalamanca37007Spain
| | - Manuel Fuentes
- Department of Medicine and Cytometry General Service‐Nucleus, CIBERONCCancer Research Centre (IBMCC/CSIC/USAL/IBSAL)SalamancaSpain,Proteomics UnitCancer Research Centre (IBMCC/CSIC/USAL/IBSAL)Salamanca37007Spain
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Juanes-Velasco P, Landeira-Viñuela A, García-Vaquero ML, Lecrevisse Q, Herrero R, Ferruelo A, Góngora R, Corrales F, Rivas JDL, Lorente JA, Hernández ÁP, Fuentes M. SARS-CoV-2 Infection Triggers Auto-Immune Response in ARDS. Front Immunol 2022; 13:732197. [PMID: 35154090 PMCID: PMC8831226 DOI: 10.3389/fimmu.2022.732197] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 01/06/2022] [Indexed: 12/15/2022] Open
Abstract
Acute respiratory distress syndrome (ARDS) is a severe pulmonary disease, which is one of the major complications in COVID-19 patients. Dysregulation of the immune system and imbalances in cytokine release and immune cell activation are involved in SARS-CoV-2 infection. Here, the inflammatory, antigen, and auto-immune profile of patients presenting COVID-19-associated severe ARDS has been analyzed using functional proteomics approaches. Both, innate and humoral responses have been characterized through acute-phase protein network and auto-antibody signature. Severity and sepsis by SARS-CoV-2 emerged to be correlated with auto-immune profiles of patients and define their clinical progression, which could provide novel perspectives in therapeutics development and biomarkers of COVID-19 patients. Humoral response in COVID-19 patients’ profile separates with significant differences patients with or without ARDS. Furthermore, we found that this profile can be correlated with COVID-19 severity and results more common in elderly patients.
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Affiliation(s)
- Pablo Juanes-Velasco
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain
| | - Alicia Landeira-Viñuela
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain
| | - Marina L García-Vaquero
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain
| | - Quentin Lecrevisse
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain
| | - Raquel Herrero
- Department of Critical Care Medicine, Hospital Universitario de Getafe, Madrid, Spain.,CIBER de Enfermedades Respiratorias, Instituto de Investigación Carlos III, Madrid, Spain.,Fundación de Investigación Biomédica del Hospital Universitario de Getafe, Madrid, Spain
| | - Antonio Ferruelo
- Fundación de Investigación Biomédica del Hospital Universitario de Getafe, Madrid, Spain
| | - Rafael Góngora
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain
| | - Fernando Corrales
- Functional Proteomics Laboratory, National Center for Biotechnology, Consejo Superior de Investigaciones Científicas, Madrid, Spain.,PROTEORED-ISCIII, Red Nacional de Laboratorios de Proteomica-ISCIII, Madrid, Spain
| | - Javier De Las Rivas
- Bioinformatics and Functional Genomics Group, Cancer Research Center (IBMCC, CSIC/USAL/IBSAL), Consejo Superior de Investigaciones Científicas & University of Salamanca, Salamanca, Spain
| | - Jose A Lorente
- Department of Critical Care Medicine, Hospital Universitario de Getafe, Madrid, Spain.,CIBER de Enfermedades Respiratorias, Instituto de Investigación Carlos III, Madrid, Spain.,Fundación de Investigación Biomédica del Hospital Universitario de Getafe, Madrid, Spain.,Universidad Europea de Madrid, Madrid, Spain
| | - Ángela-Patricia Hernández
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain
| | - Manuel Fuentes
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain.,PROTEORED-ISCIII, Red Nacional de Laboratorios de Proteomica-ISCIII, Madrid, Spain.,Proteomics Unit, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain
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Deciphering Biomarkers for Leptomeningeal Metastasis in Malignant Hemopathies (Lymphoma/Leukemia) Patients by Comprehensive Multipronged Proteomics Characterization of Cerebrospinal Fluid. Cancers (Basel) 2022; 14:cancers14020449. [PMID: 35053611 PMCID: PMC8773653 DOI: 10.3390/cancers14020449] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/04/2022] [Accepted: 01/06/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The early diagnosis of leptomeningeal disease is a challenge because it is asymptomatic in the early stages. Consequently, it is important to identify a panel of biomarkers to help in its diagnosis and/or prognosis. For this purpose, we explored a multipronged proteomics approach in cerebrospinal fluid (CSF) to determine a potential panel of biomarkers. Thus, a systematic and exhaustive characterization of more than 300 CSF samples was performed by an integrated approach by Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) and functional proteomics analysis to establish protein profiles, which were useful for developing a panel of biomarkers validated by in silico approaches. Abstract In the present work, leptomeningeal disease, a very destructive form of systemic cancer, was characterized from several proteomics points of view. This pathology involves the invasion of the leptomeninges by malignant tumor cells. The tumor spreads to the central nervous system through the cerebrospinal fluid (CSF) and has a very grim prognosis; the average life expectancy of patients who suffer it does not exceed 3 months. The early diagnosis of leptomeningeal disease is a challenge because, in most of the cases, it is an asymptomatic pathology. When the symptoms are clear, the disease is already in the very advanced stages and life expectancy is low. Consequently, there is a pressing need to determine useful CSF proteins to help in the diagnosis and/or prognosis of this disease. For this purpose, a systematic and exhaustive proteomics characterization of CSF by multipronged proteomics approaches was performed to determine different protein profiles as potential biomarkers. Proteins such as PTPRC, SERPINC1, sCD44, sCD14, ANPEP, SPP1, FCGR1A, C9, sCD19, and sCD34, among others, and their functional analysis, reveals that most of them are linked to the pathology and are not detected on normal CSF. Finally, a panel of biomarkers was verified by a prediction model for leptomeningeal disease, showing new insights into the research for potential biomarkers that are easy to translate into the clinic for the diagnosis of this devastating disease.
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Juanes-Velasco P, Landeira-Viñuela A, Hernandez AP, Fuentes M. Systematic and Rational Design of Protein Arrays in Noncontact Printers: Pipeline and Critical Aspects. Methods Mol Biol 2021; 2344:9-29. [PMID: 34115349 DOI: 10.1007/978-1-0716-1562-1_2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The systematic design and construction of customized protein microarrays are critical for the further successful screening of biological samples in biomedical research projects. In general protein microarrays are classified according to the content, detection method, and printing methodology, among others. Here, we are focused on the type of printing: contact and noncontact. Both approaches have advantages and disadvantages; however, in any of the approaches, a prior well design and systematic preparation of materials and/or instruments required for the customized antibody arrays is critical. In this chapter, the process for an antibody microarray by a noncontact printer is described in detail from the preparation of array content to the analysis, including quality control steps.
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Affiliation(s)
- Pablo Juanes-Velasco
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Avda. Universidad de Coimbra S/N, Salamanca, Spain
| | - Alicia Landeira-Viñuela
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Avda. Universidad de Coimbra S/N, Salamanca, Spain
| | - Angela-Patricia Hernandez
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Avda. Universidad de Coimbra S/N, Salamanca, Spain.
| | - Manuel Fuentes
- Department of Medicine and Cytometry General Service-Nucleus, CIBERONC, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Avda. Universidad de Coimbra S/N, Salamanca, Spain.
- Proteomics Unit, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain.
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