ArticleGeroScience2020
Advanced maternal age impacts physiologic adaptations to pregnancy in vervet monkeys.
Article in GeroScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Age (juvenile to aged) and sex effects on in vitro CYP2A6 enzyme activity in African green monkeys using nicotine and coumarin.Drug metabolism and disposition: the biological fate of chemicals · 2026Article
- Bidirectional causality between female reproductive traits and temporomandibular disorders.Journal of oral & facial pain and headache · 2025Article
- Evaluation of Risk Factor Screening Using the Ministry of Health's Scoring System for the Incidence of Early-Onset Preeclampsia in Primary Health Service.International journal of women's health · 2025Article
- The updated understanding of advanced maternal age.Fundamental research · 2024Review
- Effect of advanced maternal age on ischemic stroke vulnerability in aged rats: Investigating on blood-brain barrier permeability and gene expression.Aging brain · 2024Article
- Pelvic shape change in adult Japanese macaques and implications for childbirth at old age.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- The Effect of Tauroursodeoxycholic Acid (TUDCA) Treatment on Pregnancy Outcomes and Vascular Function in a Rat Model of Advanced Maternal Age.Antioxidants (Basel, Switzerland) · 2022Article
- Steroidomics of Pregnant Women at Advanced Age.Frontiers in endocrinology · 2022Article
- Pregnancy, preeclampsia and maternal aging: From epidemiology to functional genomics.Ageing research reviews · 2022Review
- Altered Vascular Adaptations to Pregnancy in a Rat Model of Advanced Maternal Age.Frontiers in physiology · 2021Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
The trend to delay pregnancy in the USA has resulted in the number of advanced maternal age (AMA) pregnancies to also increase. In humans, AMA is associated with a variety of pregnancy-related pathologies such as preeclampsia (PE). While AMA is known to be a factor which contributes to the development of pregnancy-induced diseases, the molecular and cellular mechanisms giving rise to this phenomenon are still very limited. This is due in part to lack of a preclinical model which has physiologic relevance to human pregnancy while also allowing control of environmental and genetic variability inherent in human studies. To determine potential physiologic relevance of the vervet/African green monkey (Chlorocebus aethiops sabaeus) as a preclinical model to study the effects of AMA on adaptations to pregnancy, thirteen age-diverse pregnant vervet monkeys (3-16 years old) were utilized to measure third trimester blood pressure (BP), complete blood count, iron measurements, and hormone levels. Significant associations were observed between third trimester diastolic BP and maternal age. Furthermore, the presence of leukocytosis with enhanced circulating neutrophils was observed in AMA mothers compared to younger mothers. Moreover, we observed a negative relationship between maternal age and estradiol, progesterone, and cortisol levels. Finally, offspring born to AMA mothers displayed a postnatal growth retardation phenotype. These studies demonstrate physiologic impairment in the adaptation to pregnancy in AMA vervet/African green monkeys. Our data indicate that the vervet/African green monkey may serve as a useful preclinical model and tool for deciphering pathological mediators of maternal disease in AMA pregnancy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.