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Record W2070115338 · doi:10.1515/jpm.2006.003

Suppression of IL-2 and IFN-γ production in women with spontaneous preterm labor

2006· article· en· W2070115338 on OpenAlexfundno aff
Harald Renz, Cathrin Wilke, I. Tekesin, L Hellmeyer, Udo Herz, Stephan Schmidt

Bibliographic record

VenueJournal of Perinatal Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsMedicineCytokineGestationPregnancyObstetricsGynecologyInternal medicine

Abstract

fetched live from OpenAlex

AIMS: To determine the TH-1/TH-2 cytokine pattern in peripheral blood leukocytes (PBL) in late second- and third trimester in normal pregnancies, in comparison to patients with spontaneous preterm delivery (PTD; < 37 completed weeks' gestation). METHODS: A cross-sectional retrospective study was performed in a tertiary care obstetric unit with healthy non-pregnant women (n=7); healthy pregnant women (n=25); patients (n=25) with preterm labor (defined as uterine contractions or changes in cervical length). The phenotypic analysis of TH-1/TH-2 immune deviation was examined in PBL. RESULTS: 26% PTD (n=13) were recorded. Patients delivering at term (n=37, 74%) were characterized by an upregulation of IL-2, IFN-gamma and IL-4 production during weeks 20-25, followed by a strong suppression in cytokine production, except for TGF-beta. Towards the end of pregnancy cytokine levels returned to normal as observed in non-pregnant women. In contrast, PTD showed an inverse pattern for IL-2 and IFN-gamma with marked suppression in IL-2 and IFN-gamma production between weeks 20-25, followed by a strong stimulation of these cytokines. No differences were observed in IL-4 and TGF-beta production. CONCLUSION: An inverse pattern in IL-2 and IFN-gamma production in PBLs between weeks 20-30 is seen in PTD as compared to patients delivering at term.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.004
GPT teacher head0.227
Teacher spread0.223 · 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 designObservational
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

Citations18
Published2006
Admission routes1
Has abstractyes

Explore more

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