MicroRNA‐guided drug discovery for mitigating persistent pulmonary complications in critical COVID‐19 survivors: A longitudinal pilot study

Author:

García‐Hidalgo María C.12,Benítez Iván D.12,Perez‐Pons Manel12,Molinero Marta12,Belmonte Thalía12,Rodríguez‐Muñoz Carlos12,Aguilà María1,Santisteve Sally12,Torres Gerard23,Moncusí‐Moix Anna3,Gort‐Paniello Clara12,Peláez Rafael4,Larráyoz Ignacio M.45,Caballero Jesús6,Barberà Carme7,Nova‐Lamperti Estefania8,Torres Antoni29,González Jessica12,Barbé Ferran12,de Gonzalo‐Calvo David12

Affiliation:

1. Translational Research in Respiratory Medicine University Hospital Arnau de Vilanova and Santa Maria, IRBLleida Lleida Spain

2. CIBER of Respiratory Diseases (CIBERES) Institute of Health Carlos III Madrid Spain

3. Group of Precision Medicine in Chronic Diseases University Hospital Arnau de Vilanova and Santa Maria, IRBLleida Lleida Spain

4. Biomarkers and Molecular Signaling Group Neurodegenerative Diseases Area Center for Biomedical Research of La Rioja, CIBIR Logroño Spain

5. BIAS, Department of Nursing University of La Rioja Logroño Spain

6. Grup de Recerca Medicina Intensiva Intensive Care Department Hospital Universitari Arnau de Vilanova Lleida Spain

7. Intensive Care Department University Hospital Santa María, IRBLleida Lleida Spain

8. Molecular and Translational Immunology Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy Universidad de Concepcion Concepcion Chile

9. Pneumology Department, Clinic Institute of Thorax (ICT) Hospital Clinic of Barcelona, Insitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), ICREA, University of Barcelona (UB) Barcelona Spain

Abstract

AbstractBackground and PurposeThe post‐acute sequelae of SARS‐CoV‐2 infection pose a significant global challenge, with nearly 50% of critical COVID‐19 survivors manifesting persistent lung abnormalities. The lack of understanding about the molecular mechanisms and effective treatments hampers their management. Here, we employed microRNA (miRNA) profiling to decipher the systemic molecular underpinnings of the persistent pulmonary complications.Experimental ApproachWe conducted a longitudinal investigation including 119 critical COVID‐19 survivors. A comprehensive pulmonary evaluation was performed in the short‐term (median = 94.0 days after hospital discharge) and long‐term (median = 358 days after hospital discharge). Plasma miRNAs were quantified at the short‐term evaluation using the gold‐standard technique, RT‐qPCR. The analyses combined machine learning feature selection techniques with bioinformatic investigations. Two additional datasets were incorporated for validation.Key ResultsIn the short‐term, 84% of the survivors exhibited impaired lung diffusion (DLCO < 80% of predicted). One year post‐discharge, 54.4% of this patient subgroup still presented abnormal DLCO. Four feature selection methods identified two specific miRNAs, miR‐9‐5p and miR‐486‐5p, linked to persistent lung dysfunction. The downstream experimentally validated targetome included 1473 genes, with heterogeneous enriched pathways associated with inflammation, angiogenesis and cell senescence. Validation studies using RNA‐sequencing and proteomic datasets emphasized the pivotal roles of cell migration and tissue repair in persistent lung dysfunction. The repositioning potential of the miRNA targets was limited.Conclusion and ImplicationsOur study reveals early mechanistic pathways contributing to persistent lung dysfunction in critical COVID‐19 survivors, offering a promising approach for the development of targeted disease‐modifying agents.

Publisher

Wiley

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3