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Cellular and Biochemical Properties of Cell-Free DNA: A Prognostic Marker In Severe Sepsis Patients

2011· article· en· W2558016334 on OpenAlexaff
Travis J. Gould, Dhruva J. Dwivedi, Laura Pepler, Laura L. Swystun, Zakhar Lysov, Patricia Liaw

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLipoteichoic acidSepsisMedicineLipopolysaccharideImmunologyPeptidoglycanNeutrophil extracellular trapsCell-free fetal DNAMicrobiologyBiologyInflammationBacteriaStaphylococcus aureus

Abstract

fetched live from OpenAlex

Abstract Abstract 2169 Background: Sepsis is the leading cause of morbidity and mortality in patients in the non-coronary ICU. However, the heterogeneity of patients with severe sepsis makes the identification of high-risk patients (ie. those who are sickest and thus would require more aggressive and expensive therapies) an ongoing challenge. Previously, we have shown that high levels of cell-free DNA (cfDNA) appear to be a powerful predictor of death in severe sepsis patients. Using Receiver Operating Characteristic curves, we have demonstrated that the area under the curve for cfDNA is 0.96 (95% CI=0.93–1.00). The purpose of this study is to characterize the source and biochemical properties of cfDNA in sepsis. Methods: Toll-like receptor (TLR) cells (which are stimulated by microbial-specific, unmethylated DNA) were used to determine whether the cfDNA found in septic patients is host- or microbe-derived. Whole blood, monocytes, and neutrophils were isolated from healthy volunteers and stimulated with either lipoteichoic acid and peptidoglycan (from Gram-positive bacteria) or lipopolysaccharide (LPS) from Gram-negative bacteria. Monocytes and neutrophils were also incubated with LPS-induced apoptosis inhibitors, cilostamide and cilostazol, prior to stimulation with LPS. DNAse enzymatic activity was quantified using Org 590 DNAse activity ELISA (Orgentec Diagnostica, GmbH), while DNAse protein was quantified by Western blot analyses. Results: Exposure of TLR9-reporter cells to cfDNA from sepsis patients revealed that the cfDNA is host-derived. Stimulation of whole blood, monocytes, neutrophils, and endothelial cells to microbial cell wall components revealed that monocytes and neutrophils are the major sources of cfDNA in sepsis. Of the total amount of nuclear DNA present within monocytes and neutrophils, nearly all was released into the supernatant upon stimulation. Inhibition of LPS-induced apoptosis with cilostamide and cilostazol did not completely prevent the release of cfDNA from monocytes and neutrophils. We also found that cfDNA levels correlated with levels of histones in septic patients and that the cfDNA was degraded to nucleosomal units. Finally, we observed an inverse correlation between levels of DNAse activity/DNAse protein and levels of cfDNA. Conclusions: These studies are the first to characterize the source and biochemical properties of cfDNA in sepsis. A portion of cfDNA release from monocytes and neutrophils appears to occur via an apoptosis-independent mechanism. Plasma levels of DNAse enzyme were reduced in septic patients compared to healthy volunteers. Disclosures: No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.174
Teacher spread0.165 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2011
Admission routes1
Has abstractyes

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