ReviewJournal of clinical monitoring and computing2013
Translational applications of evaluating physiologic variability in human endotoxemia.
Review in Journal of clinical monitoring and computing, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
12 citing papers in PubMed.
- The Physiological and Pharmacological Significance of the Circadian Timing of the HPA Axis: A Mathematical Modeling Approach.Journal of pharmaceutical sciences · 2024Review
- Detecting Pathogen Exposure During the Non-symptomatic Incubation Period Using Physiological Data: Proof of Concept in Non-human Primates.Frontiers in physiology · 2021Article
- A Personalized Signature and Chronotherapy-Based Platform for Improving the Efficacy of Sepsis Treatment.Frontiers in physiology · 2019Review
- On the analysis of complex biological supply chains: From Process Systems Engineering to Quantitative Systems Pharmacology.Computers & chemical engineering · 2017Article
- Asymmetry in Signal Oscillations Contributes to Efficiency of Periodic Systems.Critical reviews in biomedical engineering · 2016Article
- Natural small molecule FMHM inhibits lipopolysaccharide-induced inflammatory response by promoting TRAF6 degradation via K48-linked polyubiquitination.Scientific reports · 2015Article
- Does heart rate variability reflect the systemic inflammatory response in a fetal sheep model of lipopolysaccharide-induced sepsis?Physiological measurement · 2015Article
- Human metabolic response to systemic inflammation: assessment of the concordance between experimental endotoxemia and clinical cases of sepsis/SIRS.Critical care (London, England) · 2015Article
- Circadian characteristics of permissive and suppressive effects of cortisol and their role in homeostasis and the acute inflammatory response.Mathematical biosciences · 2015Article
- Oxidative stress and inflammation modulate Rev-erbα signaling in the neonatal lung and affect circadian rhythmicity.Antioxidants & redox signaling · 2014Article
- On heart rate variability and autonomic activity in homeostasis and in systemic inflammation.Mathematical biosciences · 2014Article
- Introduction to the special issue: papers from the Society for Complex Acute Illness (SCAI).Journal of clinical monitoring and computing · 2013Article
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
Dysregulation of the inflammatory response is a critical component of many clinically challenging disorders such as sepsis. Inflammation is a biological process designed to lead to healing and recovery, ultimately restoring homeostasis; however, the failure to fully achieve those beneficial results can leave a patient in a dangerous persistent inflammatory state. One of the primary challenges in developing novel therapies in this area is that inflammation is comprised of a complex network of interacting pathways. Here, we discuss our approaches towards addressing this problem through computational systems biology, with a particular focus on how the presence of biological rhythms and the disruption of these rhythms in inflammation may be applied in a translational context. By leveraging the information content embedded in physiologic variability, ranging in scale from oscillations in autonomic activity driving short-term heart rate variability to circadian rhythms in immunomodulatory hormones, there is significant potential to gain insight into the underlying physiology.
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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.