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Record W2112251986 · doi:10.1081/prg-200059836

MMP-2 Levels are Elevated in the Plasma of Women Who Subsequently Develop Preeclampsia

2005· article· en· W2112251986 on OpenAlexaff
Jenny Myers, Shaila J. Merchant, Maureen Macleod, Gary Mires, Philip N. Baker, Sandra T. Davidge

Bibliographic record

VenueHypertension in Pregnancy · 2005
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsUniversity of Alberta
FundersUniversity of Dundee
KeywordsPreeclampsiaMedicineZymographyPathophysiologyMatrix metalloproteinaseWestern blotInternal medicinePregnancyEndothelial dysfunctionObstetricsEndocrinologyBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine levels of matrix metalloproteinase (MMP)-2 and MMP-9, and the tissue inhibitors of metalloproteinases (TIMP)-1 and TIMP-2 in the plasma of women destined to develop preeclampsia prior to the onset of clinical disease. STUDY DESIGN: Plasma samples were taken from women whose pregnancies were subsequently complicated by preeclampsia and from normal pregnant women at 22 and 26 weeks and at delivery or diagnosis. Following equal protein loading, MMP-2 and 9 and TIMP-1 and 2 were quantified using zymography and Western blot analysis, respectively. RESULTS: Plasma MMP-2 levels were significantly elevated at 22 weeks (p = 0.02) and at diagnosis (p = 0.003) in the preeclampsia group, but there was no difference at 26 weeks. TIMP-1 levels were significantly reduced in the preeclampsia group at 26 weeks (p = 0.0002), but TIMP-2 levels were not quantifiable. CONCLUSION: At all three gestational time points an imbalance in the MMP-2:TIMP-1 ratio was found in patients who subsequently developed preeclampsia. We speculate that increased net MMP-2 activity may contribute to the endothelial dysfunction that is central to the pathophysiology of preeclampsia.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.051
GPT teacher head0.269
Teacher spread0.218 · 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

Citations105
Published2005
Admission routes1
Has abstractyes

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