ReviewTrends in molecular medicine2014
Gene expression profiling in sepsis: timing, tissue, and translational considerations.
Review in Trends in molecular medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.
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
78 citing papers in PubMed, 1 synthesis or guideline pooled it, 127 citations in OpenAlex.
- Association between the -159C/T polymorphism in the promoter region of the CD14 gene and sepsis: a meta-analysis.BMC anesthesiology · 2017Pooled it
- Development and validation of novel sepsis subphenotypes using trajectories of vital signs.Intensive care medicine · 2022Trial
- Metabolic footprint of sepsis and septic shock: A narrative review.World journal of critical care medicine · 2026Review
- Paracrine signaling mediators of vascular endothelial barrier dysfunction in sepsis: implications for therapeutic targeting.Tissue barriers · 2026Article
- Establishment of a Predictive Model for Mortality in Sepsis Patients Using WGCNA and Machine Learning Algorithms.Journal of inflammation research · 2026Article
- Plasma-Based Endotypes in Acute Respiratory Distress Syndrome Identify High-Risk Patients With Extrapulmonary Disease: Why Looking Outside the Lung Compartment Enriches for Nonpulmonary Morbidity and Mortality.Critical care medicine · 2025Article
- Transcriptomic Profiling Reveals Distinct Immune Dysregulation in Early-Stage Sepsis Patients.International journal of molecular sciences · 2025Article
- Transcriptional characterization of sepsis in a LPS porcine model.Molecular genetics and genomics : MGG · 2025Article
- Identification and validation of autophagy-related genes in sepsis based on bioinformatics studies.Virology journal · 2025Article
- Advances in metabolomics in critically ill patients with sepsis and septic shock.Clinical and experimental emergency medicine · 2025Article
- Bacteria and host: what does this mean for sepsis bottleneck?World journal of emergency medicine · 2025Review
- Biological basis of critical illness subclasses: from the bedside to the bench and back again.Critical care (London, England) · 2024Review
- Article
- Differentiating infection, colonisation, and sterile inflammation in critical illness: the emerging role of host-response profiling.Intensive care medicine · 2023Review
- Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- The Role of Transcriptomics in Redefining Critical Illness.Critical care (London, England) · 2023Review
- Identification and experimental validation of mitochondria-related genes biomarkers associated with immune infiltration for sepsis.Frontiers in immunology · 2023Article
- Emerging roles of microRNAs in septic cardiomyopathy.Frontiers in pharmacology · 2023Review
- An immune-related gene signature predicts the 28-day mortality in patients with sepsis.Frontiers in immunology · 2023Article
- MicroRNAs combined with the TLR4/TDAG8 mRNAs and proinflammatory cytokines are biomarkers for the rapid diagnosis of sepsis.Molecular medicine reports · 2022Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Sepsis is a complex inflammatory response to infection. Microarray-based gene expression studies of sepsis have illuminated the complex pathogen recognition and inflammatory signaling pathways that characterize sepsis. More recently, gene expression profiling has been used to identify diagnostic and prognostic gene signatures, as well as novel therapeutic targets. Studies in pediatric cohorts suggest that transcriptionally distinct subclasses might account for some of the heterogeneity seen in sepsis. Time series analyses have pointed to rapid and dynamic shifts in transcription patterns associated with various phases of sepsis. These findings highlight current challenges in sepsis knowledge translation, including the need to adapt complex and time-consuming whole-genome methods for use in the intensive care unit environment, where rapid diagnosis and treatment are essential.
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What OpenQuestion holds
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.