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Record W4403151893 · doi:10.1210/jendso/bvae163.1273

7561 Maternal Sucrose Consumption During Gestation Alone Does Not Affect Glucocorticoids and Aldosterone in the Fetal Brain and Blood of Rats

2024· article· en· W4403151893 on OpenAlexaff
Minseon M Jung, Désirée R. Seib, Marwa Idrissi, Hui W Chen, Kiran K. Soma

Bibliographic record

VenueJournal of the Endocrine Society · 2024
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFetusGestationAffect (linguistics)EndocrinologyAldosteroneInternal medicineMedicineMineralocorticoidPregnancyPhysiologyBiologyPsychology

Abstract

fetched live from OpenAlex

Abstract Disclosure: M.M. Jung: None. D.R. Seib: None. M. Idrissi: None. H.W. Chen: None. K.K. Soma: None. Sucrose (table sugar) is a common added sugar in foods and beverages. Sucrose intake is high worldwide, yet little is known about how sucrose affects the brain and hormones. We designed an isocaloric, macro/micro-nutrient matched control diet (1% kcal sucrose) and high-sucrose diet (26% kcal sucrose) paradigm where the two diets only differ in kcal from sucrose. In this paradigm, maternal high-sucrose diet intake alters glucocorticoids (GCs) which are steroid hormones that regulate numerous physiological processes including the stress response. 16 wk of maternal sucrose intake (10 wk before mating, 3 wk during gestation, and 3 wk during lactation) increases blood and brain corticosterone levels in adult female offspring. Moreover, 13 wk of maternal sucrose intake (10 wk before mating and 3 wk during gestation) increases 11-deoxycorticosterone (DOC, corticosterone precursor) and 11-dehydrocorticosterone (DHC, corticosterone metabolite) in maternal serum, and increases aldosterone in fetal blood and brain at embryonic day 19.5 (E19.5). These results suggest that long-term maternal sucrose intake is a stressor that alters GC and aldosterone signalling. It is unclear whether a maternal high-sucrose diet only during gestation alters fetal steroid levels, or whether long-term sucrose consumption before mating is necessary. Here, we investigate the effects of maternal sucrose intake during gestation only on GCs and aldosterone in the fetal blood and brain. We hypothesize that maternal sucrose intake only during gestation will alter GC and aldosterone signaling in the fetus. We predict that maternal sucrose consumption during gestation alone will increase GC and aldosterone levels in the fetal blood and brain. Female Long-Evans rats were fed either a high-sucrose diet or a control diet starting E0.5 (day of mating confirmation) (n=15/diet). On E19.5, we collected fetal brain and blood and microdissected the regions of the fetal brain that are sensitive to GCs and aldosterone: nucleus accumbens, amygdala, hypothalamus, ventral hippocampus, and ventral tegmental area. We measured a panel of 15 steroids including GCs and aldosterone in the fetal brain (0.8-1.6 mg/region) and blood (5 µL) using liquid chromatography-tandem mass spectrometry, the gold standard for steroid quantification. Maternal high-sucrose diet intake during gestation alone did not alter maternal food intake, maternal body mass, or litter size, but increased the percentage of male offspring per litter. Maternal sucrose intake did not alter DOC, corticosterone, or DHC levels in the fetal blood and brain regions. Aldosterone was not detected in the fetal blood and brain. These results suggest that maternal sucrose intake during gestation alone does not alter GC and aldosterone levels in the developing fetus and that a longer duration of maternal sucrose intake is needed to alter offspring endocrine physiology. Presentation: 6/1/2024

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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.015
GPT teacher head0.299
Teacher spread0.284 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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