ReviewCritical care (London, England)2013
Bench-to-bedside review: future novel diagnostics for sepsis - a systems biology approach.
Review in Critical care (London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed.
- Dynamic expression of leukocyte innate immune genes in whole blood from horses with lipopolysaccharide-induced acute systemic inflammation.BMC veterinary research · 2015Trial
- microRNA Biomarkers in Paediatric Infection Diagnostics-Bridging the Gap Between Evidence and Clinical Application: A Scoping Review.Non-coding RNA · 2025Review
- From cardiac injury to omics signatures: a narrative review on biomarkers in septic cardiomyopathy.Clinical and experimental medicine · 2025Review
- A Knowledge-Enhanced Platform (MetaSepsisKnowHub) for Retrieval Augmented Generation-Based Sepsis Heterogeneity and Personalized Management: Development Study.Journal of medical Internet research · 2025Article
- Identifying sepsis susceptibility genes in post-surgical patients using an artificial intelligence approach.Frontiers in medicine · 2025Article
- New Insights in Immunometabolism in Neonatal Monocytes and Macrophages in Health and Disease.International journal of molecular sciences · 2023Review
- A hypoxia- and lactate metabolism-related gene signature to predict prognosis of sepsis: discovery and validation in independent cohorts.European journal of medical research · 2023Article
- Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival.Intensive care medicine experimental · 2022Article
- Comparison of the diagnostic accuracy of monocyte distribution width and procalcitonin in sepsis cases in the emergency department: a prospective cohort study.BMC infectious diseases · 2022Article
- Endothelial Damage in Sepsis: The Importance of Systems Biology.Frontiers in pediatrics · 2022Review
- Serum proteomics reveals disorder of lipoprotein metabolism in sepsis.Life science alliance · 2021Article
- Initial antimicrobial management of sepsis.Critical care (London, England) · 2021Review
- Evaluation of the Molecular Mechanisms of Sepsis Using Proteomics.Frontiers in immunology · 2021Review
- Whole blood transcriptional responses of very preterm infants during late-onset sepsis.PloS one · 2020Article
- Immunometabolic approaches to prevent, detect, and treat neonatal sepsis.Pediatric research · 2020Review
- Plasma proteomic changes during therapeutic hypothermia in resuscitated patients after cardiac arrest.Experimental and therapeutic medicine · 2019Article
- Leukocyte Transcriptional Response in Sepsis.Shock (Augusta, Ga.) · 2019Article
- Multiple biomarkers of sepsis identified by novel time-lapse proteomics of patient serum.PloS one · 2019Article
- Unachievable zeros.Journal of thoracic disease · 2018Article
- The Preseptic Period and Inflammatory Markers in the Prediction of the Course of Sepsis.Medical science monitor : international medical journal of experimental and clinical research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The early, accurate diagnosis and risk stratification of sepsis remains an important challenge in the critically ill. Since traditional biomarker strategies have not yielded a gold standard marker for sepsis, focus is shifting towards novel strategies that improve assessment capabilities. The combination of technological advancements and information generated through the human genome project positions systems biology at the forefront of biomarker discovery. While previously available, developments in the technologies focusing on DNA, gene expression, gene regulatory mechanisms, protein and metabolite discovery have made these tools more feasible to implement and less costly, and they have taken on an enhanced capacity such that they are ripe for utilization as tools to advance our knowledge and clinical research. Medicine is in a genome-level era that can leverage the assessment of thousands of molecular signals beyond simply measuring selected circulating proteins. Genomics is the study of the entire complement of genetic material of an individual. Epigenetics is the regulation of gene activity by reversible modifications of the DNA. Transcriptomics is the quantification of the relative levels of messenger RNA for a large number of genes in specific cells or tissues to measure differences in the expression levels of different genes, and the utilization of patterns of differential gene expression to characterize different biological states of a tissue. Proteomics is the large-scale study of proteins. Metabolomics is the study of the small molecule profiles that are the terminal downstream products of the genome and consists of the total complement of all low-molecular-weight molecules that cellular processes leave behind. Taken together, these individual fields of study may be linked during a systems biology approach. There remains a valuable opportunity to deploy these technologies further in human research. The techniques described in this paper not only have the potential to increase the spectrum of diagnostic and prognostic biomarkers in sepsis, but they may also enable the discovery of new disease pathways. This may in turn lead us to improved therapeutic targets. The objective of this paper is to provide an overview and basic framework for clinicians and clinical researchers to better understand the 'omics technologies' to enhance further use of these valuable tools.
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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.