ArticleAmerican journal of respiratory cell and molecular biology2023
Peripheral Blood Omics and Other Multiplex-based Systems in Pulmonary and Critical Care Medicine.
Article in American journal of respiratory cell and molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- The Blood RNA Stability Atlas: defining temporal structure and trait-state programs in the human whole-blood transcriptome.bioRxiv : the preprint server for biology · 2026Article
- Integrative multi-omic analyses identify major axes of heterogeneity in chronic obstructive pulmonary disease and uncover their molecular contributors.medRxiv : the preprint server for health sciences · 2026Article
- Long-term DNA methylation changes induced by age and elevated COSkeletal muscle · 2025Article
- The flux of energy in critical illness and the obesity paradox.Physiological reviews · 2025Review
- Rapamycin improves satellite cells' autophagy and muscle regeneration during hypercapnia.JCI insight · 2025Article
- Multi-omics analysis reveals the sensitivity of immunotherapy for unresectable non-small cell lung cancer.Frontiers in immunology · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Over the last years, the use of peripheral blood-derived big datasets in combination with machine learning technology has accelerated the understanding, prediction, and management of pulmonary and critical care conditions. The goal of this article is to provide readers with an introduction to the methods and applications of blood omics and other multiplex-based technologies in the pulmonary and critical care medicine setting to better appreciate the current literature in the field. To accomplish that, we provide essential concepts needed to rationalize this approach and introduce readers to the types of molecules that can be obtained from the circulating blood to generate big datasets; elaborate on the differences between bulk, sorted, and single-cell approaches; and the basic analytical pipelines required for clinical interpretation. Examples of peripheral blood-derived big datasets used in recent literature are presented, and limitations of that technology are highlighted to qualify both the current and future value of these methodologies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.