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Record W4388540074 · doi:10.1093/jas/skad281.636

PSXIV-22 Impact of Maternal Plane of Nutrition in Combination with Strategic One-Carbon Metabolites Supplementation During Early Pregnancy on Vascularity and Cell Proliferation in the Fetal Small Intestine

2023· article· en· W4388540074 on OpenAlexaff
Mojtaba Daneshi, Jessica G Syring, Yssi L Entzie, Layla E King, Muhammad Anas, Mara R Hirchert, Matthew S Crouse, Alison K Ward, Carl R Dahlen, Pawel P. Borowicz, Joel S Caton

Bibliographic record

VenueJournal of Animal Science · 2023
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsWeight gainFetusPregnancyJejunumAndrologyGestationBiologyAnimal scienceEmbryo cultureTriiodothyronineEndocrinologyInternal medicineMedicineLactationThyroid

Abstract

fetched live from OpenAlex

Abstract Objective of our study were to investigate the impact of maternal nutrition during early pregnancy on the vascularity and proliferation of fetal intestine and whether supplementing one-carbon metabolites (OCM) could mitigate any changes arising from altered maternal nutrition. We used a 2 x 2 factorial arrangement of treatments with two levels of heifer gain: control (CON; 0.45 kg/d) and restricted (RES; -0.23 kg/d), with and without (+/- OCM) supplementation. Crossbred Angus beef heifers were estrous synchronized and bred via artificial insemination with single-sire female-sexed semen. Heifers were divided into four nutritional treatments (n = 8 ± 1 per treatment) at breeding. Targeted heifer gain (achieved by changing in intake of a common diet) and OCM treatments were administered from d 0 to 63 of gestation and then all heifers were fed a common diet targeting 0.45 kg/d gain. Treatments containing OCM were given rumen-protected methionine (10 g/d) and choline (60 g/d) in a fine-ground corn carrier administered daily, with weekly injections of folate (320 mg) and vitamin B12 (20 mg). The non-supplemented treatment (-OCM) received the corn carrier and saline injections. On day 161 of gestation heifers were harvested and samples were collected from fetal jejunum for analysis. Vascularity was assessed via measurement of capillary density using anti-CD31 and anti-CD34 fluorescent staining. Cell proliferation within intestinal tissues was assessed by KI-67 fluorescent staining. Images were analyzed using ImagePro-Premiere software. Maternal gain × OCM interactions were not present (P > 0.11). Fetuses from restricted dams had greater (P = 0.05) capillary area density in the villi compared with CON (5.48 vs. 4.72 ± 0.38%), while OCM had no effect. Crypt and total cell proliferation were greater (P < 0.05) in CON. Providing OCM reduced (P = 0.01) total intestinal cell proliferation. The observed increase in capillary density in the villi of fetuses from restricted dams may be a compensatory response to reduced maternal nutrient availability, aimed at preparing the offspring for increasing post-natal nutrient delivery. Conversely, the decreased proliferation in crypt cells appears to be a logical response to restricted nutrition and may indicate a slowing of the rate of cell division, which could have long-term consequences for intestinal development. Our results also demonstrate that maternal OCM can reduce total intestinal cell proliferation in the fetal intestine, regardless of maternal nutrition. One-carbon metabolites have crucial roles in DNA methylation and other cellular processes for proper cellular function and development. Observed decreases resulting from the provision of OCM may indicate enhanced energetic efficiency, reduced epithelial cell turnover, and/or reduce apoptotic events in the villa. Further studies are needed to determine the long-term effects of maternal OCM on fetal intestinal development and function. USDA is an equal opportunity provider and employer.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.305
Teacher spread0.271 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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