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Record W2104478131 · doi:10.1086/315166

Repeated Pregnancies in BALB/c Mice Infected with<i>Coxiella burnetii</i>Cause Disseminated Infection, Resulting in Stillbirth and Endocarditis

2000· article· en· W2104478131 on OpenAlexaff
Andréas Stein, Hubert Lépidi, Jean Louis Mège, Thomas J. Marrie, Didier Raoult

Bibliographic record

VenueThe Journal of Infectious Diseases · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsVictoria General HospitalDalhousie University
Fundersnot available
KeywordsCoxiella burnetiiQ feverEndocarditisRickettsialesBiologyPregnancyOffspringRickettsiaceaeImmunologyZoonosisAbortifacientAbortionMicrobiologyVirologyRickettsiaMedicineInternal medicineBacteria

Abstract

fetched live from OpenAlex

Q fever is a widespread zoonosis caused by the obligate intracellular bacterium Coxiella burnetii. Although this highly virulent organism is most concentrated in mammals during parturition, there are few reports on the manifestations of perinatal Q fever in the human and animal host. The affinity of C. burnetii to pregnancy and its abortifacient potential were investigated in a murine animal model. Intraperitoneal infection of female BALB/c mice with C. burnetii, followed by repeated pregnancies over a 2-year period, resulted in persistent infection associated with abortion and perinatal death, with a statistically significant decrease in viable offspring. In addition, endocarditis occurred in 2 of the adult animals, and C. burnetii antigen and DNA were detected in their heart valves. Taken together, these results demonstrate the abortifacient potential of C. burnetii and the increased risk of persistent infection and endocarditis in pregnant mice, probably related to a decline in cellular immunity during pregnancy.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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

Citations39
Published2000
Admission routes1
Has abstractyes

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