Comparison of Procoagulant and Proinflammatory Effects of Nuclear, Mitochondrial, and Bacterial DNA
Bibliographic record
Abstract
Abstract Background: Sepsis is a syndrome in which infection triggers a systemic inflammatory and pro-coagulant response, with a prevalence of up to 1 case per 1000 and a mortality rate of up to 40%. Cell-free DNA (cfDNA) is elevated in sepsis, and correlates with mortality. This DNA may come from nuclear, mitochondrial, or bacterial sources. Nuclear and mitochondrial DNA may come from activated neutrophils which release neutrophil extracellular traps (NETs). CpG motifs on bacterial and mitochondrial DNA can stimulate inflammatory responses via TLR9, which is present on neutrophils, monocytes, and recently shown to be expressed on platelets. cfDNA can activate coagulation via the intrinsic pathway. cfDNA may thus play an important pathogenic role in sepsis. This study elucidates the relative effects of nuclear, mitochondrial, and bacterial DNA on inflammatory and pro-coagulant pathways. Methods: Mitochondrial DNA concentrations were measured by PCR using plasma samples from septic patients. Nuclear and mitochondrial DNA were purified from human embryonic kidney 293 cells, and bacterial DNA was from E. coli. Neutrophils from healthy donors were cultured with purified bacterial, mitochondrial, or nuclear DNA at 15µg/mL for 20h. IL-6 levels in the supernatants were measured by ELISA, and neutrophil viability was measured by flow cytometry for annexin-V binding and propidium iodide exclusion. The three types of DNA were added to either citrated normal human platelet-poor plasma or platelet-rich plasma, and continuous thrombin generation was measured (Technothrombin, Vienna, Austria). Light transmission aggregometry was performed in citrated platelet-rich plasma with co-treatment of a sub-threshold concentration of ADP and varying concentrations of DNA. Markers of platelet activation were measured by flow cytometry for P-selectin and activated integrin αIIbβ3. All reagents contained less than 0.06EU/mL of LPS by limulus amoebocyte lysate assay. Results: Cell-free mitochondrial DNA was elevated in plasma from septic patients compared to healthy controls. Bacterial, but not mitochondrial or nuclear, DNA increased neutrophil IL-6 secretion. Both mitochondrial and bacterial DNA increased neutrophil viability at 20h. At concentrations found in the plasma of critically-ill patients, mitochondrial, nuclear, and bacterial DNA increased thrombin generation in both platelet-poor plasma and platelet-rich plasma to a similar degree, and this effect was abolished by corn-trypsin inhibitor and reduced in FXII-depleted plasma, indicating dependence on the intrinsic pathway of coagulation. Independently of coagulation, nuclear DNA at high concentrations, such as may be seen in the NET micro-environment, was capable of causing aggregation of ADP pre-stimulated platelets in citrated plasma, which was accompanied by activation of integrin αIIbβ3and surface expression of P-selectin. This effect also occurred with synthetic phosphodiester oligonucleotides, and was abolished by DNase pre-digestion. Conclusions: cfDNA of bacterial origin can stimulate neutrophil IL-6 release, while both mitochondrial and bacterial DNA prolonged neutrophil viability. All types of DNA can activate coagulation via the contact pathway. DNA at high concentrations may be able to directly stimulate platelets. Total plasma cfDNA and cell-free mitochondrial DNA specifically are elevated in sepsis. Thus, nuclear, mitochondrial, and bacterial DNA may play distinct roles in the pathogenesis of sepsis. Disclosures Bhagirath: Pfizer: Research Funding.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".