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Record W1975121497 · doi:10.1242/jeb.023812

A LITTLE STRESS FOR A FETUS GOES A LONG WAY

2009· article· en· W1975121497 on OpenAlexaff
Jodie L. Rummer

Bibliographic record

VenueJournal of Experimental Biology · 2009
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHypoxia (environmental)FetusNorepinephrineBiologyInternal medicineEndocrinologyPregnancyOxygenMedicineChemistryDopamineGenetics

Abstract

fetched live from OpenAlex

Many animals experience hypoxia – low oxygen levels – in their environment on a regular basis. Fish living in shallow coastal rockpools experience hypoxia on a daily basis, and humans can also feel the effects of hypoxia when hiking at altitude in thin air. Developing embryos also experience bouts of hypoxia, some due to the mother's uterus contracting,which can reduce blood oxygen by 25%. During hypoxia, norepinephrine(noradrenaline) is released into the bloodstream to protect us from the negative effects of hypoxia by increasing the heart rate and either relaxing or constricting blood vessels to ensure blood supply to crucial organs. Because hypoxia provokes norepinephrine release, and developing embryos experience hypoxia, Margie Ream and her colleagues from Duke and Tufts Universities wondered whether norepinephrine protects developing fetal mice from the damaging effects of hypoxia.Ream and her colleagues exposed pregnant mice to either normal oxygen levels or hypoxia and identified the embryos within the litter that had genetic mutations preventing norepinephrine synthesis. Then the team monitored the fetus's physiological responses to the oxygen conditions.Compared with their normal siblings, the norepinephrine-deficient fetuses did not tolerate hypoxia well, and if they survived suffered from low heart rate, blood-flow problems, excessive bleeding, and even heart failure. Ream's team also concluded that, even under normal oxygen conditions, the cardiovascular systems of the norepinephrine-deficient fetal mice performed as if they were normal mice experiencing hypoxia. The team could only ensure the norepinephrine-deficient embryo's survival beyond 15 days if they supplied the mother with extraordinarily high oxygen levels, over twice the amount of oxygen found in normal air.So, why not prevent hypoxia all together if the damaging effects are so profound? Evidently, exposure to hypoxia is crucial for some developmental processes; hypoxia is the only way to activate a special protein called HIF. When HIF is activated, it attaches to DNA and allows 155 genes to be decoded. If HIF is not activated in a developing fetus, certain genes are not turned on, and the animal may suffer eye damage, abnormal heart and liver development, and even shortened arms and legs. Therefore, it may be important for an animal to experience brief episodes of hypoxia to ensure HIF is activated so it can activate important genes and ensure proper development. Of course, excessive hypoxia is definitely problematic, and if not immediately fatal, can result in growth restrictions, pre-term delivery and even sudden infant death syndrome, as well as heart problems that can persist into adulthood. Ream and her colleagues concluded that an animal protects itself from the damaging effects of hypoxia by releasing norepinephrine, which helps maintain heart rate, blood flow and oxygen levels throughout the body. Meanwhile, developing fetuses that experience hypoxia are able to activate essential developmental pathways and develop properly because HIF is activated. However, if a fetus cannot synthesize norepinephrine, then the effects of hypoxia are magnified and death is almost certain.Hypoxia clearly plays a key role in many cardiac developmental diseases. This study is the first to document the genes that are turned on in response to norepinephrine availability and hypoxia, and the findings provide a springboard for further understanding the essential role of the stress response to hypoxia and fetal development. Stress... some of us can't seem to live with it, but our lives apparently can't begin without it.

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)0.003
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0040.008
Scholarly communication0.0050.006
Open science0.0010.004
Research integrity0.0050.013
Insufficient payload (model declined to judge)0.0100.007

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 head0.061
GPT teacher head0.451
Teacher spread0.390 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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