Progress and Challenges of Understanding Cardiorenal Syndrome Type 3.

Autor:	Neres-Santos RS; Laboratory of Cardiovascular Immunology, Center of Natural and Human Sciences (CCNH), Federal University of ABC, 09210-170 Santo André, SP, Brazil., Armentano GM; Laboratory of Cardiovascular Immunology, Center of Natural and Human Sciences (CCNH), Federal University of ABC, 09210-170 Santo André, SP, Brazil., da Silva JV; Laboratory of Cardiovascular Immunology, Center of Natural and Human Sciences (CCNH), Federal University of ABC, 09210-170 Santo André, SP, Brazil., Falconi CA; Laboratory of Cardiovascular Immunology, Center of Natural and Human Sciences (CCNH), Federal University of ABC, 09210-170 Santo André, SP, Brazil., Carneiro-Ramos MS; Laboratory of Cardiovascular Immunology, Center of Natural and Human Sciences (CCNH), Federal University of ABC, 09210-170 Santo André, SP, Brazil.
Jazyk:	angličtina
Zdroj:	Reviews in cardiovascular medicine [Rev Cardiovasc Med] 2023 Jan 04; Vol. 24 (1), pp. 8. Date of Electronic Publication: 2023 Jan 04 (Print Publication: 2023).
DOI:	10.31083/j.rcm2401008
Abstrakt:	The pathologies of the kidney and heart have instigated a large number of researchers around the world to try to better understand what the exact connectors responsible for the emergence and establishment of these diseases are. The classification of these pathologies into different types of cardiorenal syndromes (CRSs) over the last 15 years has greatly contributed to understanding pathophysiological and diagnostic aspects, as well as treatment strategies. However, with the advent of new technologies classified as "Omics", a new range of knowledge and new possibilities have opened up in order to effectively understand the intermediaries between the kidney-heart axis. The universe of micro-RNAs (miRNAs), epigenetic factors, and components present in extracellular vesicles (EVs) have been protagonists in studying different types of CRSs. Thus, the new challenge that is imposed is to select and link the large amount of information generated from the use of large-scale analysis techniques. The present review seeks to present some of the future perspectives related to understanding CRSs, with an emphasis on CRS type 3. Competing Interests: The authors declare no conflict of interest. (Copyright: © 2023 The Author(s). Published by IMR Press.)
Databáze:	MEDLINE
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