SynthesisPloS one2017
Transcriptomic meta-analysis reveals up-regulation of gene expression functional in osteoclast differentiation in human septic shock.
Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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
5 citing papers in PubMed, 14 citations in OpenAlex.
- Construction of Diagnostic Model for Regulatory T Cell-Related Genes in Sepsis Based on Machine Learning.Biomedicines · 2025Article
- The molecular landscape of sepsis severity in infants: enhanced coagulation, innate immunity, and T cell repression.Frontiers in immunology · 2024Article
- Bone homeostasis disorders increased the mortality of sepsis patients: A preliminary retrospective cohort study.Frontiers in medicine · 2022Article
- Estimates of gene ensemble noise highlight critical pathways and predict disease severity in H1N1, COVID-19 and mortality in sepsis patients.Scientific reports · 2021Article
- Sepsis-associated pathways segregate cancer groups.BMC cancer · 2020Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Septic shock is a major medical problem with high morbidity and mortality and incompletely understood biology. Integration of multiple data sets into a single analysis framework empowers discovery of new knowledge about the condition that may have been missed by individual analysis of each of these datasets. Electronic search was performed on medical literature and gene expression databases for selection of transcriptomic studies done in circulating leukocytes from human subjects suffering from septic shock. Gene-level meta-analysis was conducted on the six selected studies to identify the genes consistently differentially expressed in septic shock. This was followed by pathway-level analysis using three different algorithms (ORA, GSEA, SPIA). The identified up-regulated pathway, Osteoclast differentiation pathway (hsa04380) was validated in two independent cohorts. Of the pathway, 25 key genes were selected that serve as an expression signature of Septic Shock.
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Registered trials
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