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Record W3193237674 · doi:10.1111/mam.12267

Of mammals and milk: how maternal stress affects nursing offspring

2021· article· en· W3193237674 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMammal Review · 2021
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversité de MontréalThe Scarborough HospitalUniversity of Toronto
FundersUniversity of Toronto ScarboroughNatural Sciences and Engineering Research Council of Canada
KeywordsOffspringLactationBiologyPhysiologyPregnancyStressorZoologyGenetics

Abstract

fetched live from OpenAlex

Abstract A large body of research shows that maternal stress during an offspring’s early life can impact its phenotype in both the short and long term. In the Vertebrata, most research has been focused on maternal stress during the prenatal period. However, the postnatal period is particularly important in mammals because maternal milk provides a conduit by which maternal hormones secreted in response to stressors (glucocorticoids, GCs) can reach offspring. Moreover, lactation outlasts gestation in many species. Though GCs were first detected in milk over 40 years ago, few studies have explored how they affect nursing offspring, and no reviews have been written on how maternal stress affects nursing offspring in the natural world. We discuss the evolution of milk and highlight its importance in each of the three mammalian lineages: monotremes (subclass Monotremata), marsupials (infraclass Marsupialia), and eutherians (infraclass Placentalia). Most research on the effects of milk GCs on offspring has been focused on eutherians, but monotremes and marsupials rely on their mothers’ milk for a proportionally longer period of time, and so research on these taxa may yield more insight. We show that GCs are important for milk production, both during an individual nursing bout and over the entire lactation period, and review evidence of GCs moving from maternal blood to milk, and eventually to nursing offspring. We examine evidence from rodents and primates of associations between GC levels in lactating females (either blood or milk) and offspring behaviour and growth rates. We discuss ways that maternal stress may impact these offspring phenotypes outside of milk GCs, such as changes to: (1) milk output, (2) other milk constituents (e.g. macronutrients, growth factors, cytokines), and (3) maternal care behaviour. Critical to understanding the fitness impacts of elevated maternal GC levels during lactation is to place this within the context of the natural environment. Species‐specific traits and natural histories will help us to understand why such maternal stress produces different offspring phenotypes that equip them to cope with and succeed in the environment they are about to enter.

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.

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)0.000
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.626
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.034
GPT teacher head0.323
Teacher spread0.289 · 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