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Record W1998763478 · doi:10.1159/000187573

Increase in Renal and Urinary Low and High Molecular Weight Kininogens during Chromate-Induced Acute Renal Failure in the Rat: Evidence for Renal Kininogen Production

2008· article· en· W1998763478 on OpenAlexaff
Guy Bompart, Allain Collé, Marina Lemos Dos Reiss, Christiane Pécher, Albert Adam, Jean‐Pierre Girolami

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicCoagulation, Bradykinin, Polyphosphates, and Angioedema
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsKininogenInternal medicineEndocrinologyRenal functionBradykininHigh-molecular-weight kininogenMedicineUrinary systemCreatinineKidney

Abstract

fetched live from OpenAlex

In the present study, we investigated the plasma, urinary and intrarenal concentrations of low and high molecular weight kininogens during sodium chromate (25 mg/kg body weight)-induced acute renal failure (ARF) in the rat. Urinary kininogen underwent a transient increase with a maximum on day 7 (78 +/- 22 versus 4.2 +/- 1.6 ng bradykinin/mg creatinine) whereas plasma kininogen did not and glomerular filtration rate decreased (92 +/- 8 versus 895 +/- 70 microliters/min). The tissue level of kininogen was enhanced both in the cortex (1,319 +/- 123 versus 86 +/- 8 pg bradykinin Eq/mg protein) and in the medulla (1,673 +/- 138 versus 44 +/- 9 pg bradykinin Eq/mg protein) but more in the medulla (36 +/- 4- versus 15 +/- 3-fold). As plasma kininogen level was unchanged and glomerular filtration rate decreased, the increase in both renal concentration and urinary excretion of kininogen probably reflects stimulated renal production of kininogen in this model of ARF. Whether the evoked renal production of kininogen results from a local inflammatory response only or may subserve another physiological purpose remains to be elucidated.

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)0.003
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.036
GPT teacher head0.298
Teacher spread0.261 · 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.

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

Citations1
Published2008
Admission routes1
Has abstractyes

Explore more

Same venue˜The œNephron journals/Nephron journalsSame topicCoagulation, Bradykinin, Polyphosphates, and AngioedemaFrench-language works237,207