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Record W3008995327 · doi:10.2741/4869

Role of reactive oxygen species and iron in host defense against infection

2020· review· en· W3008995327 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in bioscience · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeme Oxygenase-1 and Carbon Monoxide
Canadian institutionsDalhousie University
Fundersnot available
KeywordsReactive oxygen speciesInnate immune systemCell biologyImmune systemInflammationNeurodegenerationBiologyHost (biology)ChemistryImmunologyDiseaseMedicineEcology

Abstract

fetched live from OpenAlex

Reactive oxygen species (ROS) and iron play important roles in the innate immune response. ROS are released by immune cells and are highly reactive and indiscriminately destructive in response to pathogens. In addition, ROS act as signaling molecules and play a role in apoptosis, therefore excessive ROS production can damage host molecules, leading to more harm than benefit for the host. Iron acts as a catalyst for the formation of ROS, therefore, manipulation of iron levels is a way in controlling ROS production. Iron metabolism and ROS production may affect many disease processes and must be tightly regulated for the host to generate an appropriate response. Current researches examine the roles of iron and ROS in various conditions, including neurodegeneration, inflammation, infection and cancer. Therapies directed at regulating ROS production through regulating iron levels are a major focus in these fields today.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.247
Teacher spread0.236 · 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