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Dutta A, Saha S, Bahl A, Mittal A, Basak T. A comprehensive review of acute cardio-renal syndrome: need for novel biomarkers. Front Pharmacol 2023; 14:1152055. [PMID: 37288107 PMCID: PMC10242013 DOI: 10.3389/fphar.2023.1152055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 05/03/2023] [Indexed: 06/09/2023] Open
Abstract
Cardiorenal syndrome represents a wide-spectrum disorder involving the heart and kidneys as the primary affected organs. India has an increasingly high burden of acute CRS, coinciding with the rise in global statistics. Up to 2022, approximately 46.1% of all cardiorenal patients have been diagnosed with acute CRS in India. Acute CRS involves a sudden deterioration of kidney functionalities, referred to as acute kidney injury (AKI) in acute heart failure patients. The pathophysiology of CRS involves hyperactivation of the sympathetic nervous system (SNS) and the renin-angiotensin-aldosterone system (RAAS) following acute myocardial stress. The pathological phenotype of acute CRS is associated with perturbed inflammatory, cellular, and neurohormonal markers in circulation. These complications increase the risk of mortality in clinically diagnosed acute CRS patients, making it a worldwide healthcare burden. Hence, effective diagnosis and early prevention are crucial to prevent the progression of CRS in AHF patients. Present biomarkers, such as serum creatinine (sCr), cystatin C (CysC), glomerular filtration rate (GFR), blood urea nitrogen (BUN), serum and/or urine neutrophil gelatinase-associated lipocalin (NGAL), B-type natriuretic peptide (BNP), and NT-proBNP, are clinically used to diagnose AKI stages in CRS patients but are limitedly sensitive to the early detection of the pathology. Therefore, the need for protein biomarkers is emerging for early intervention in CRS progression. Here, we summarized the cardio-renal nexus in acute CRS, with an emphasis on the present clinicopathological biomarkers and their limitations. The objective of this review is to highlight the need for novel proteomic biomarkers that will curb the burgeoning concern and direct future research trials.
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Affiliation(s)
- Abhi Dutta
- School of Biosciences and Bioengineering, Indian Institute of Technology (IIT)-Mandi, Mandi, Himachal Pradesh, India
- BioX Center, Indian Institute of Technology (IIT)-Mandi, Mandi, Himachal Pradesh, India
| | - Shubham Saha
- School of Biosciences and Bioengineering, Indian Institute of Technology (IIT)-Mandi, Mandi, Himachal Pradesh, India
- BioX Center, Indian Institute of Technology (IIT)-Mandi, Mandi, Himachal Pradesh, India
| | - Ajay Bahl
- Department of Cardiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Anupam Mittal
- Department of Translational and Regenerative Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Trayambak Basak
- School of Biosciences and Bioengineering, Indian Institute of Technology (IIT)-Mandi, Mandi, Himachal Pradesh, India
- BioX Center, Indian Institute of Technology (IIT)-Mandi, Mandi, Himachal Pradesh, India
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Gembillo G, Visconti L, Giusti MA, Siligato R, Gallo A, Santoro D, Mattina A. Cardiorenal Syndrome: New Pathways and Novel Biomarkers. Biomolecules 2021; 11:1581. [PMID: 34827580 PMCID: PMC8615764 DOI: 10.3390/biom11111581] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 10/22/2021] [Accepted: 10/22/2021] [Indexed: 12/15/2022] Open
Abstract
Cardiorenal syndrome (CRS) is a multi-organ disease characterized by the complex interaction between heart and kidney during acute or chronic injury. The pathogenesis of CRS involves metabolic, hemodynamic, neurohormonal, and inflammatory mechanisms, and atherosclerotic degeneration. In the process of better understanding the bi-directional pathophysiological aspects of CRS, the need to find precise and easy-to-use markers has also evolved. Based on the new pathophysiological standpoints and an overall vision of the CRS, the literature on renal, cardiac, metabolic, oxidative, and vascular circulating biomarkers was evaluated. Though the effectiveness of different extensively applied biomarkers remains controversial, evidence for several indicators, particularly when combined, has increased in recent years. From new aspects of classic biomarkers to microRNAs, this review aimed at a 360-degree analysis of the pathways that balance the kidney and the heart physiologies. In this delicate system, different markers and their combination can shed light on the diagnosis, risk, and prognosis of CRS.
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Affiliation(s)
- Guido Gembillo
- Unit of Nephrology and Dialysis, Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy;
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, 98125 Messina, Italy
| | - Luca Visconti
- Unit of Nephrology and Dialysis, Ospedali Riuniti Villa Sofia Cervello, University of Palermo, 90146 Palermo, Italy;
| | - Maria Ausilia Giusti
- Diabetes and Islet Transplantation Unit, Department of Diagnostic and Therapeutic Services, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta Specializzazione), UPMC Italy, 90127 Palermo, Italy; (M.A.G.); (A.M.)
| | - Rossella Siligato
- Unit of Nephrology and Dialysis, Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy;
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, 98125 Messina, Italy
| | - Alessia Gallo
- Department of Research, IRCCS ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta Specializzazione), UPMC Italy, 90127 Palermo, Italy;
| | - Domenico Santoro
- Unit of Nephrology and Dialysis, Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy;
| | - Alessandro Mattina
- Diabetes and Islet Transplantation Unit, Department of Diagnostic and Therapeutic Services, IRCCS-ISMETT (Istituto Mediterraneo per i Trapianti e Terapie ad alta Specializzazione), UPMC Italy, 90127 Palermo, Italy; (M.A.G.); (A.M.)
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Lopez-Rincon A, Tonda A, Mendoza-Maldonado L, Mulders DGJC, Molenkamp R, Perez-Romero CA, Claassen E, Garssen J, Kraneveld AD. Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning. Sci Rep 2021; 11:947. [PMID: 33441822 PMCID: PMC7806918 DOI: 10.1038/s41598-020-80363-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 12/21/2020] [Indexed: 02/07/2023] Open
Abstract
In this paper, deep learning is coupled with explainable artificial intelligence techniques for the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural network classifier is first trained on 553 sequences from the National Genomics Data Center repository, separating the genome of different virus strains from the Coronavirus family with 98.73% accuracy. The network's behavior is then analyzed, to discover sequences used by the model to identify SARS-CoV-2, ultimately uncovering sequences exclusive to it. The discovered sequences are validated on samples from the National Center for Biotechnology Information and Global Initiative on Sharing All Influenza Data repositories, and are proven to be able to separate SARS-CoV-2 from different virus strains with near-perfect accuracy. Next, one of the sequences is selected to generate a primer set, and tested against other state-of-the-art primer sets, obtaining competitive results. Finally, the primer is synthesized and tested on patient samples (n = 6 previously tested positive), delivering a sensitivity similar to routine diagnostic methods, and 100% specificity. The proposed methodology has a substantial added value over existing methods, as it is able to both automatically identify promising primer sets for a virus from a limited amount of data, and deliver effective results in a minimal amount of time. Considering the possibility of future pandemics, these characteristics are invaluable to promptly create specific detection methods for diagnostics.
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Affiliation(s)
- Alejandro Lopez-Rincon
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG, Utrecht, The Netherlands.
| | - Alberto Tonda
- UMR 518 MIA-Paris, INRAE, c/o 113 rue Nationale, 75103, Paris, France
| | - Lucero Mendoza-Maldonado
- Hospital Civil de Guadalajara "Dr. Juan I. Menchaca", Salvador Quevedo y Zubieta 750, Independencia Oriente, C.P. 44340, Guadalajara, Jalisco, México
| | | | - Richard Molenkamp
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Carmina A Perez-Romero
- Departamento de Investigación, Universidad Central de Queretaro (UNICEQ), Av. 5 de Febrero 1602, San Pablo, 76130, Santiago de Querétaro, QRO, Mexico
| | - Eric Claassen
- Athena Institute, Vrije Universiteit, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| | - Johan Garssen
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG, Utrecht, The Netherlands
- Department Immunology, Danone Nutricia research, Uppsalalaan 12, 3584 CT, Utrecht, The Netherlands
| | - Aletta D Kraneveld
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG, Utrecht, The Netherlands
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