@article{cb717a5a0dd74b53b8b42d3472813cad,
title = "Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129",
abstract = "The coronavirus disease 2019 (COVID-19) pandemic has been as unprecedented as unexpected, affecting more than 105 million people worldwide as of 8 February 2020 and causing more than 2.3 million deaths according to the World Health Organization (WHO). Not only affecting the lungs but also provoking acute respiratory distress, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is able to infect multiple cell types including cardiac and vascular cells. Hence a significant proportion of infected patients develop cardiac events, such as arrhythmias and heart failure. Patients with cardiovascular comorbidities are at highest risk of cardiac death. To face the pandemic and limit its burden, health authorities have launched several fast-track calls for research projects aiming to develop rapid strategies to combat the disease, as well as longer-term projects to prepare for the future. Biomarkers have the possibility to aid in clinical decision-making and tailoring healthcare in order to improve patient quality of life. The biomarker potential of circulating RNAs has been recognized in several disease conditions, including cardiovascular disease. RNA biomarkers may be useful in the current COVID-19 situation. The discovery, validation, and marketing of novel biomarkers, including RNA biomarkers, require multi-centre studies by large and interdisciplinary collaborative networks, involving both the academia and the industry. Here, members of the EU-CardioRNA COST Action CA17129 summarize the current knowledge about the strain that COVID-19 places on the cardiovascular system and discuss how RNA biomarkers can aid to limit this burden. They present the benefits and challenges of the discovery of novel RNA biomarkers, the need for networking efforts, and the added value of artificial intelligence to achieve reliable advances.",
keywords = "Artificial intelligence, Biomarkers, Genomics, RNAs, IMMUNE-RESPONSE, HEART-FAILURE, EUROPEAN-SOCIETY, BIOMARKERS, CELLULAR BIOLOGY, INFECTION, CARDIOPROTECTION, ASSOCIATION, SEVERITY, CARDIOLOGY WORKING GROUP",
author = "L. Badimon and E.L. Robinson and A. Jusic and I. Carpusca and L.J. DeWindt and C. Emanueli and P. Ferdinandy and W. Gu and M. Gyongyosi and M. Hackl and K. Karaduzovic-Hadziabdic and M. Lustrek and F. Martelli and E. Nham and I. Potocnjak and V. Satagopam and R. Schneider and T. Thum and Y. Devaux",
note = "Funding Information: L.B. is funded by the EU Horizon 2020 project COVIRNA (Grant Agreement # 101016072), the Spanish Ministry of Economy and Competitiveness of Science [PNS2016-76819-R]; the Carlos III Institute of Health [CIBERCV CB16/11/00411 and Red Terapia Celular TerCel RD16/0011/0018] cofounded by FEDER; and the Fundaci{\'o}n Investigaci{\'o}n Cardiovascular-Fundaci{\'o}n Jesus Serra.E.L.R. is funded by the CardioVasculair Onderzoek Nederland (CVON) EARLY-HFPEF-2015 consortium (Dutch Heart Foundation). A.J. is funded by a Horizon 2020 Marie Sk{\l}odowska-Curie Action (H2020-MSCA-IF-EF-ST 2019 Grant: 893435). I.C. is funded by the EU Horizon 2020 project COVIRNA (Grant Agreement 101016072). L.D.W. acknowledges support from the Netherlands CardioVascular Research Initiative: the Dutch Heart Foundation, Dutch Federation of University Medical Centers, ZonMW, and the Royal Netherlands Academy of Sciences (CVON2017-ARENA PRIME). L.D.W. was further supported by ERC Consolidator Grant 311549 CALMIRS, a VICI award 918-156-47 from NWO and a Marie Sk{\l}odowska-Curie grant agreement No. 813716. P.F. is funded by the National Research, Development and Innovation Office of Hungary (Research Excellence Program—TKP, National Heart Program NVKP 16-1-2016-0017, Investment into the Future—COVID-19 project at Semmelweis University); the Higher Education Institutional Excellence Program of the Ministry of Human Capacities in Hungary, within the framework of the Therapeutic Development thematic program of the Semmelweis University; and EU Horizon 2020 projects COVIRNA (Grant #101016072) and CRYSTAL3 (MSCA-RISE Project #101007931). M.G. is funded by the EU Horizon 2020 grants SCIENCE (643478), CRESPACE (732170), and ReGenHeart (731532). M.H. is funded by Eurostars Grant No. 871562 and FFG Early Stage No. 874078. M. L. is funded by the EU Horizon 2020 project COVIRNA (Grant Agreement 101016072) and the Slovenian Research Agency (research core funding No. P2-0209). F.M. is funded by the Italian Ministry of Health, (Ricerca Corrente and 5 x 1000), the Telethon Foundation (# GGP19035A), AFM-Telethon grant (# 23054), and EU Horizon 2020 projects COVIRNA (Grant #101016072). T.T. is funded by the EU Horizon 2020 project Cardioregenix. Y.D. is funded by the EU Horizon 2020 project COVIRNA (Grant Agreement # 101016072), the National Research Fund (grants # C14/BM/8225223, C17/BM/11613033, and COVID-19/2020-1/14719577/miRCOVID.), the Ministry of Higher Education and Research, and the Heart Foundation—Daniel Wagner of Luxembourg. Funding Information: This article is based upon work from EU-CardioRNA COST Action CA17129 ( www.cardiorna.eu ) supported by COST (European Cooperation in Science and Technology), and from the COVIRNA project which received funding from the European Union's Horizon 2020 Research and Innovation Programme under the grant agreement n°101016072. The open access fee of this article is covered by EU-CardioRNA COST Action CA17129, funded by COST. Publisher Copyright: {\textcopyright} The Author(s) 2021.",
year = "2021",
month = jul,
day = "1",
doi = "10.1093/cvr/cvab094",
language = "English",
volume = "117",
pages = "1823--1840",
journal = "Cardiovascular Research",
issn = "0008-6363",
publisher = "Oxford University Press",
number = "8",
}