Publications by authors named "S J Wertheimer"
Article Synopsis
- The study investigates changes in the placenta's chorionic villi during different stages of pregnancy by analyzing mRNA profiles from healthy human placentas in the first and third trimesters.
- Using next-generation sequencing, researchers identified stably expressed genes (SEGs) and differentially expressed genes (DEGs), revealing significant genetic changes as gestation progresses.
- Findings suggest that specific gene expression patterns could serve as biomarkers for maternal-fetal health, ultimately improving our understanding of placental development and function throughout pregnancy.
Background: There remains a question of whether graduates trained internally are different than those trained elsewhere. We examine the difference between physicians trained within our Graduate Medical Education (GME) programs versus physicians trained elsewhere. Our large integrated healthcare system is unique in addressing this objective due to its large physician labor hiring needs across different specialties of GME graduates.
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- The study investigates changes in the placenta, particularly the chorionic villi, during early and late pregnancy to understand their role in maternal-fetal health.
- Researchers utilized next-generation sequencing on placentas from 124 first trimester and 43 third trimester pregnancies to identify gene expression patterns and stable genes across gestation.
- The findings reveal significant changes in mRNA expression from the first to third trimester, identifying thousands of differentially expressed genes, which could lead to the development of biomarkers for placental health and maternal-fetal diseases.
Objective: To determine whether ovarian volume (OV) alone is an independent marker for metabolic dysfunction in women with suspected androgen excess.
Design: Retrospective cohort study.
Setting: Tertiary academic reproductive endocrinology clinic.
Context: Ongoing research is needed to determine geo-epidemiologic differences of polycystic ovary syndrome (PCOS).
Objective: Determine hormonal and metabolic parameters of women with PCOS in 2 environments.
Methods: Prospective cohort study.