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Record W7132987369

Uncovering the Mechanisms of how ROS drive NETosis: The Crucial Role of DNA Repair Pathway

2023· dissertation· W7132987369 on OpenAlexafffund
Dhia Azzouz

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldImmunology and Microbiology
TopicNeutrophil, Myeloperoxidase and Oxidative Mechanisms
Canadian institutionsUniversity of Toronto
FundersMitacsCanadian Institutes of Health ResearchHospital for Sick ChildrenUniversity of TorontoNatural Sciences and Engineering Research Council of CanadaCystic Fibrosis Canada
KeywordsNeutrophil extracellular trapsProgrammed cell deathApoptosisReactive oxygen speciesDNA damageIonomycinMitochondrion
DOInot available

Abstract

fetched live from OpenAlex

Neutrophil extracellular traps (NETs) are cytotoxic protein-coated, DNA-based web-like structures implicated in antimicrobial defense, autoimmune diseases and tissue injury. NETotic cell death (NETosis) is defined as a reactive oxygen species (ROS)-dependent cell death, restricted to cells of hematopoietic origin, and associated with NET extrusion. In response to different agonists, neutrophils produce ROS via either NADPH oxidase (NOX-dependent) or mitochondria (NOX-independent) pathways. However, the role of ROS in NETosis was unclear. Additionally, whether NETosis and apoptosis could happen in the same neutrophil was unknown. It was also unknown whether ultraviolet (UV) radiation, a classical inducer of apoptosis and mitochondrial ROS, could induce NETosis. Here, I uncovered that: (i) High UV doses induce both NETosis and apoptosis in the same neutrophil (ApoNETosis); (ii) Base excision repair (BER), the pathway that repairs oxidative DNA damage, is necessary for UV-induced mitochondrial ROS-mediated NETosis. Specifically, inhibiting early, but not late, stages of BER leading to nick formation inhibited UV-induced NETosis; (iii) Unlike in UV-induced NETosis, mitochondrial ROS-induced DNA damage repair and histone citrullination both contribute to calcium ionophore (A23187, ionomycin from Streptomyces conglobatus)-induced NOX-independent NETosis; (iv) In response to bacteria and bacterial components, neutrophils produce large quantities of NOX-derived ROS. Early, but not late, stages of BER were also involved in NETosis induced by Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli lipopolysaccharide, and phorbol 12-myristate 13-acetate; (v) Typically, neutrophils undergo NETosis in serum-free conditions (e.g., lung airways). Baseline NETosis in untreated neutrophils, under normothermic and hyperthermic conditions, is driven by NOX-derived ROS. Under normothermic conditions, early stage BER inhibition abolishes NETosis while late stage BER inhibition promotes it, contrasting agonist-induced NETosis. In mechanistic terms, I identified a novel NETosis agonist, UV, capable of inducing both NETosis and apoptosis (ApoNETosis). We have determined how ROS drives NETosis: through base oxidation, ROS drives NETosis by activating DNA repair machinery, resulting in DNA nicking and chromatin unwinding. This mechanism is consistently observed across all forms of NETosis we investigated. My findings provide new insights into the mechanisms of NETosis, and suggest that some of the DNA repair genes may be relevant to NET-related diseases and candidates for therapeutic studies.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.257
Teacher spread0.243 · 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 designBench or experimental
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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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