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Record W2978296396 · doi:10.2741/4827

Iron should be restricted in acute infection

2019· review· en· W2978296396 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 · 2019
Typereview
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSiderophoreAntibioticsChelationMicrobiologyBacteriaIron homeostasisChemistryDeferoxamineImmune systemInnate immune systemSecretionBiologyBiochemistryImmunologyMetabolism

Abstract

fetched live from OpenAlex

The trace element iron plays important roles in biological systems. Vital functions of both host organisms and pathogens require iron. During infection, the innate immune system reduces iron availability for invading organisms. Pathogens acquire iron through different mechanisms, primarily through the secretion of high-affinity iron chelating compounds known as siderophores. Bacterial siderophores have been used clinically for iron chelation, however synthetic iron chelators are superior for treating infection because - in contrast to siderophore-bound iron - bacteria are not able to utilize iron bound to those molecules. Additionally, utilizing siderophores-dependent iron uptake in a "trojan horse" manner represents a potential option to carry antibiotics into bacterial cells. Recently, synthetic iron chelators have been shown to enhance antibiotic effectiveness and overcome antibiotic resistance. This has implications for the treatment of infections through combination therapy of iron chelators and antibiotics.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.063
GPT teacher head0.357
Teacher spread0.295 · 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