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Record W2057339453 · doi:10.1073/pnas.0900919106

Loss of Erk3 function in mice leads to intrauterine growth restriction, pulmonary immaturity, and neonatal lethality

2009· article· en· W2057339453 on OpenAlexafffund
Sonia Klinger, Benjamin Turgeon, Kim Lévesque, Geoffrey A. Wood, Kjersti Aagaard‐Tillery, Sylvain Meloche

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2009
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of GuelphUniversité de MontréalInstitute for Research in Immunology and Cancer
FundersUniversity of Ottawa
KeywordsIntrauterine growth restrictionEndocrinologyFetusBiologyInternal medicinePulmonary hypoplasiaIn uteroLungMedicinePregnancyGenetics

Abstract

fetched live from OpenAlex

Extracellular signal-regulated kinase 3 (Erk3) is an atypical member of the mitogen-activated protein (MAP) kinase family. No function has yet been ascribed to this MAP kinase. Here we show that targeted disruption of the Mapk6 gene (encoding Erk3) leads to intrauterine growth restriction, associated with marked pulmonary hypoplasia, and early neonatal death during the first day of life. Around 40% of Erk3(-/-) neonates die within minutes after birth from acute respiratory failure. Erk3-deficient mice have normal lung-branching morphogenesis, but show delayed lung maturation characterized by decreased sacculation, atelectasis, and defective type II pneumocyte differentiation. Interestingly, in utero administration of glucocorticoid promoted fetal lung maturity and rescued differentiation of type II cells, but failed to alter the neonatal lethality. We observed that loss of Erk3 retards intrauterine growth, as reflected by a marked reduction in fetal lung, heart, and liver weights, and by low body weight at birth. Importantly, we found that insulin-like growth factor (IGF)-2 levels are decreased in the serum of Erk3-deficient mice. Our findings reveal a critical role for Erk3 in the establishment of fetal growth potential and pulmonary function in the mouse.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.049
GPT teacher head0.364
Teacher spread0.314 · 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

Citations85
Published2009
Admission routes2
Has abstractyes

Explore more

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