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Excessive Hypercholesterolemia in Pregnancy Impairs Later-life Maternal Vascular Function in Rats

2024· article· en· W4398175281 on OpenAlexaffabout
Amanda Almeida de Oliveira, Amy L. Wooldridge, Floor Spaans, Emma Elder, Murilo E. Graton, Christy‐Lynn M. Cooke, Sandra T. Davidge

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPregnancyPhysiologyFunction (biology)MedicineEndocrinologyInternal medicineBiologyCell biologyGenetics

Abstract

fetched live from OpenAlex

Background: Preeclampsia is a significant risk factor for the development of later-life cardiovascular disease; however, the underlying molecular mechanisms are not fully understood. Studies have shown that excessive hypercholesteremia occurring during pregnancy increases the risk of vascular pregnancy complications, such as preeclampsia. Bioavailability of nitric oxide (NO), a critical endothelium-derived vasodilator in pregnancy, is reduced in both hypercholesteremia and preeclampsia. However, the later-life vascular impact of excessive pregnancy-specific hypercholesteremia is not known. Hypothesis: Excessive hypercholesteremia in pregnancy impairs later-life maternal vascular function by reducing NO availability. Methods: Sprague-Dawley rats were fed a control diet (CD) or high cholesterol diet (HCD; 2% cholesterol + 0.5% cholic acid) from gestational day 6 to 20 (term=22 days; n=10-12). After pregnancy, all dams received a CD. Three months after pregnancy (equal to ~10 years in humans), mesenteric (systemic resistance arteries) and carotid (vascular bed that supplies blood to the cerebral vasculature) arteries were isolated, and endothelium-dependent (to methacholine, MCh) and -independent (to sodium nitroprusside, SNP) vasodilation, plus vasoconstriction responses (to phenylephrine, PE) were assessed using wire myography. NO contribution was assessed using a pan-NO synthase inhibitor (L-NAME; 100 μmol). Data were summarized as maximum responses (E max ), sensitivity (pEC 50 ), or delta E max (control vs. L-NAME). The statistical tests applied were a Student’s t-test or two-way ANOVA with Sidak’s post-hoc test (significance: p<0.05). Results: In mesenteric arteries, vasodilation to MCh or SNP was not different between the CD and HCD groups three months after the insult. However, L-NAME reduced maximum vasodilation to MCh in the HCD group (p=0.0433) but not in CD animals. Similarly, vasoconstriction to PE was not different between groups, but L-NAME increased the PE sensitivity in the HCD group (p=0.0423), without effects in the CD animals. In carotid arteries, a HCD during pregnancy reduced vasodilation to MCh (p=0.0345), and while L-NAME prevented vasodilation to MCh in both groups (p<0.0001), this effect was more pronounced in the HCD compared to CD group (delta E max , p=0.0422). Vasodilation to SNP was similar between groups. Vasoconstriction responses to PE were increased in carotid arteries of HCD compared to CD animals (p=0.0357). L-NAME increased PE-mediated vasoconstriction in both groups (CD: 4.32-fold and HCD: 2.71-fold), but this NO modulation was significantly less in the HCD group compared to CD (delta E max , p=0.0337). Conclusion: Exposure to a HCD, during pregnancy only, impaired later-life maternal vascular function in carotid, but not mesenteric arteries, suggesting vascular-bed specific effects in animals with a history of preeclampsia. Moreover, a HCD during pregnancy altered the NO pathway in both vascular beds, indicating that long-term alterations in NO were established during pregnancy. In summary, excessive pregnancy-specific hypercholesterolemia contributes to later-life maternal vascular dysfunction via modulation of the NO pathway, which may help explain the increased cardiovascular risk after preeclampsia. This work was supported by a foundation grant from the Canadian Institutes of Health Research (CIHR FS154313) and by the Women and Children’s Health Research Institute (WCHRI) through the generosity of the Stollery Children’s Hospital Foundation and the Alberta Women’s Health Foundation. A.A.O. is supported by a WCHRI postdoctoral fellowship through the generosity of the Stollery Children’s Hospital Foundation and the Alberta Women’s Health Foundation. E.E. was supported by a summer research studentship from Alberta Innovates. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.022
GPT teacher head0.295
Teacher spread0.273 · 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 teacher head, 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".

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Citations0
Published2024
Admission routes2
Has abstractyes

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