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Record W1980075188 · doi:10.1016/s1201-9712(00)90066-3

Generation of reactive oxygen species and formation of membrane lipid peroxides in cells infected with Chlamydia trachomatis

2000· article· en· W1980075188 on OpenAlexaff
Anthony A. Azenabor, James B. Mahony

Bibliographic record

VenueInternational Journal of Infectious Diseases · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsChlamydiaeReactive oxygen speciesChlamydia trachomatisLipid peroxidationMicrobiologyBiologyLipid peroxideIntracellularCell membraneCatalasePathogenesisChlamydiaCellOxidative stressChemistryCell biologyBiochemistryImmunology

Abstract

fetched live from OpenAlex

OBJECTIVES: Chlamydiae are obligate intracellular pathogens that cause many diseases for which the pathogenic mechanisms are largely unknown. Because reactive oxygen species (ROS) have been implicated in pathogenesis of many viral and bacterial infections, the authors assessed the release of ROS in selected host cells (monocytes, Sup-T1 cells, and Hep-2 cells) infected with Chlamydia trachomatis. METHODS: Infected cell cultures demonstrated a dramatic depletion of uric acid from culture media that was not seen in uninfected cultures. Reactive oxygen species generated in infected cultures were associated with the formation of lipid peroxides in host cell membrane. RESULTS: There was a significant increase in lipid peroxide levels in infected cells compared to uninfected controls. Ascorbic acid treatment of infected cell cultures reduced the formation of membrane lipid peroxides. CONCLUSIONS: These results suggest that ROS produced during chlamydial replication cause membrane lipid peroxidation. The role of ROS-induced membrane damage in chlamydial pathogenesis is discussed.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.260
Teacher spread0.245 · 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 teacher head, 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

Citations35
Published2000
Admission routes1
Has abstractyes

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