Exploring the translational landscape of the long noncoding RNA transcriptome in acute respiratory distress syndrome: it is a long way to the top.
Thalía BelmonteCarlos Rodríguez-MuñozAntonio FerrueloSara M Exojo-RamírezLaura Amado-RodríguezFerran BarbéDavid de Gonzalo-CalvoPublished in: European respiratory review : an official journal of the European Respiratory Society (2024)
Acute respiratory distress syndrome (ARDS) poses a significant and widespread public health challenge. Extensive research conducted in recent decades has considerably improved our understanding of the disease pathophysiology. Nevertheless, ARDS continues to rank among the leading causes of mortality in intensive care units and its management remains a formidable task, primarily due to its remarkable heterogeneity. As a consequence, the syndrome is underdiagnosed, prognostication has important gaps and selection of the appropriate therapeutic approach is laborious. In recent years, the noncoding transcriptome has emerged as a new area of attention for researchers interested in biomarker development. Numerous studies have confirmed the potential of long noncoding RNAs (lncRNAs), transcripts with little or no coding information, as noninvasive tools for diagnosis, prognosis and prediction of the therapeutic response across a broad spectrum of ailments, including respiratory conditions. This article aims to provide a comprehensive overview of lncRNAs with specific emphasis on their role as biomarkers. We review current knowledge on the circulating lncRNAs as potential markers that can be used to enhance decision making in ARDS management. Additionally, we address the primary limitations and outline the steps that will be essential for integration of the use of lncRNAs in clinical laboratories. Our ultimate objective is to provide a framework for the implementation of lncRNAs in the management of ARDS.
Keyphrases
- acute respiratory distress syndrome
- mechanical ventilation
- extracorporeal membrane oxygenation
- long noncoding rna
- public health
- single cell
- network analysis
- intensive care unit
- healthcare
- genome wide identification
- rna seq
- gene expression
- primary care
- genome wide
- transcription factor
- type diabetes
- cardiovascular events
- coronary artery disease
- human health
- cardiovascular disease
- social media