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Advanced Maternal Age Impairs Uterine Artery Remodelling in the Pregnant Rat

2022· article· en· W4225413473 on OpenAlexafffund
Amy L. Wooldridge, Mazhar Pasha, Palehswan Chitrakar, Raven Kirschenman, Floor Spaans, Christy‐Lynn M. Cooke, Sandra T. Davidge

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchChildren's Health Research Institute
KeywordsUterine arteryAndrologyMedicinePhysiologyPregnancyBiologyGestation

Abstract

fetched live from OpenAlex

Advanced maternal age (AMA, ≥35 years) pregnancies are increasingly common, and are at increased risk for pregnancy complications. We previously showed that ex vivo uterine artery constriction due to increasing intraluminal pressures (myogenic tone) was greater in arteries of AMA vs. young pregnant rats. Aging impairs vascular reactivity and increases vascular stiffness via structural changes (e.g. increased collagen), however, the impact of AMA on adaptations to pregnancy in the uterine artery is unknown. We hypothesized that functional and structural uterine artery adaptations to pregnancy are impaired in aged compared with young rats. Pregnant young (4 months) and aged (9 months; ~35 years in humans) rats were studied on gestational day 20 (term=22 days) with age‐matched non‐pregnant rats. Uterine arteries were isolated and mounted in a pressure myograph. Active tone (calcium present in buffer, n=6‐10) and mechanical properties (circumferential stress and strain; calcium absent, n=10‐24) were assessed. Myogenic tone, circumferential stress and strain were calculated from active and passive curves. Collagen and elastin in the tunica media and intima (combined) were visualized with Masson’s trichrome (collagen) or Verhoeff’s (elastin) stains (n=4‐6). Data are mean area under the curve (AUC, myography) or % positive area (histology) ± SEM; analyzed by two‐way ANOVA with Sidak post‐hoc tests (significance: p<0.05). Between 4‐100 mmHg, myogenic tone did not change with age or pregnancy. However, arteries from young pregnant rats displayed forced vasodilation at higher pressures (100‐160 mmHg) that did not occur in arteries from other groups (p<0.0001). Circumferential stress and strain (Figure 1) increased with pregnancy (p<0.0001) but was significantly lower in arteries from pregnant AMA compared to young pregnant dams (p<0.05). Collagen and elastin (% positive areas) did not change with age or pregnancy overall, however, arteries from young non‐pregnant rats had greater collagen:elastin ratios than those from aged non‐pregnant rats (p=0.021). Arteries from aged non‐pregnant, young pregnant and AMA rats had similar ratios. This study illustrates that aging impacts both structural and functional adaptations of uterine arteries during pregnancy. The lower compliancy of arteries from AMA rats may be due to increased crosslinking of the existing collagen within the artery, as it was not explained by collagen:elastin ratio. These structural differences may contribute to the functional differences, potentially reducing uteroplacental blood supply. Thus, impaired uterine artery adaptations may increase the risk of pregnancy complications in women of advanced age.

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 score0.001
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 integrity0.0000.001
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 head0.018
GPT teacher head0.246
Teacher spread0.228 · 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
Published2022
Admission routes2
Has abstractyes

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