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Record W3195070871 · doi:10.1096/fj.202100397r

Mechanisms linking hypoxia to phosphorylation of insulin‐like growth factor binding protein‐1 in baboon fetuses with intrauterine growth restriction and in cell culture

2021· article· en· W3195070871 on OpenAlexafffund
Jenica H. Kakadia, Kyle K. Biggar, Bhawani Jain, Allan W. Chen, Karen Nygard, Cun Li, Peter W. Nathanielsz, Thomas Jansson, Madhulika B. Gupta

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsChildren’s Health Research InstituteCarleton UniversityWestern University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthLawson Health Research Institute
KeywordsmTORC1BiologyPI3K/AKT/mTOR pathwayInternal medicineEndocrinologyPhosphorylationRibosomal protein s6Mechanistic target of rapamycinVascular endothelial growth factorP70-S6 Kinase 1Signal transductionCell biologyCancer researchMedicine

Abstract

fetched live from OpenAlex

Abstract Hypoxia increases fetal hepatic insulin‐like growth factor binding protein‐1 (IGFBP‐1) phosphorylation mediated by mechanistic target of rapamycin (mTOR) inhibition. Whether maternal nutrient restriction (MNR) causes fetal hypoxia remains unclear. We used fetal liver from a baboon ( Papio sp.) model of intrauterine growth restriction due to MNR (70% global diet of Control) and liver hepatocellular carcinoma (HepG2) cells as a model for human fetal hepatocytes and tested the hypothesis that mTOR‐mediated IGFBP‐1 hyperphosphorylation in response to hypoxia requires hypoxia‐inducible factor‐1α (HIF‐1α) and regulated in development and DNA‐damage responses‐1 (REDD‐1) signaling. Western blotting (n = 6) and immunohistochemistry (n = 3) using fetal liver indicated greater expression of HIF‐1α, REDD‐1 as well as erythropoietin and its receptor, and vascular endothelial growth factor at GD120 (GD185 term) in MNR versus Control. Moreover, treatment of HepG2 cells with hypoxia (1% pO 2 ) (n = 3) induced REDD‐1, inhibited mTOR complex‐1 (mTORC1) activity and increased IGFBP‐1 secretion/phosphorylation (Ser101/Ser119/Ser169). HIF‐1α inhibition by echinomycin or small interfering RNA silencing prevented the hypoxia‐mediated inhibition of mTORC1 and induction of IGFBP‐1 secretion/phosphorylation. dimethyloxaloylglycine (DMOG) induced HIF‐1α and also REDD‐1 expression, inhibited mTORC1 and increased IGFBP‐1 secretion/phosphorylation. Induction of HIF‐1α (DMOG) and REDD‐1 by Compound 3 inhibited mTORC1, increased IGFBP‐1 secretion/ phosphorylation and protein kinase PKCα expression. Together, our data demonstrate that HIF‐1α induction, increased REDD‐1 expression and mTORC1 inhibition represent the mechanistic link between hypoxia and increased IGFBP‐1 secretion/phosphorylation. We propose that maternal undernutrition limits fetal oxygen delivery, as demonstrated by increased fetal liver expression of hypoxia‐responsive proteins in baboon MNR. These findings have important implications for our understanding of the pathophysiology of restricted fetal growth.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.245
Teacher spread0.226 · 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

Citations6
Published2021
Admission routes2
Has abstractyes

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