Magnetic Resonance Imaging Evaluation of Ectopic Pregnancy: A Value-Added Review.

ABSTRACT: Ectopic pregnancy (EP) is a known cause of maternal mortality and may be misdiagnosed in up to 50% of pregnant female individuals (Ann Emerg Med. 1996;28(1):10-17). Magnetic resonance imaging, with its superior soft tissue resolution, is a valuable alternative diagnostic modality to diagnose EP when transvaginal ultrasound results are inconclusive. Although an extrauterine gestational sac is the most specific finding, there are other key MRI findings that can aid in diagnosing EP. As availability of MRI access in the emergency department setting increases across the nation, its utility in women with a positive pregnancy test has also increased. Specific MRI findings that are diagnostic of EP include absence of intrauterine pregnancy, adnexal mass separate from the ovary, and hemoperitoneum. In addition, intrauterine ectopic locations, especially intramural, cornual, and cervical pregnancies, can be diagnosed with increased accuracy with the help of MRI. Magnetic resonance imaging is also useful in excluding potential mimics of EP, including adnexal cysts, ovarian neoplasms, and fibroids. In summary, providing an accurate diagnosis and determining the precise location of an EP, which is supported by the use of MRI, is imperative for guiding a patient's treatment to prevent a potentially fatal outcome.

Metabolomic and Gene Expression Profiles Exhibit Modular Genetic and Dietary Structure Linking Metabolic Syndrome Phenotypes in Drosophila.

Genetic and environmental factors influence complex disease in humans, such as metabolic syndrome, and Drosophila melanogaster serves as an excellent model in which to test these factors experimentally. Here we explore the modularity of endophenotypes with an in-depth reanalysis of a previous study by Reed et al. (2014), where we raised 20 wild-type genetic lines of Drosophila larvae on four diets and measured gross phenotypes of body weight, total sugar, and total triglycerides, as well as the endophenotypes of metabolomic and whole-genome expression profiles. We then perform new gene expression experiments to test for conservation of phenotype-expression correlations across different diets and populations. We find that transcript levels correlated with gross phenotypes were enriched for puparial adhesion, metamorphosis, and central energy metabolism functions. The specific metabolites L-DOPA and N-arachidonoyl dopamine make physiological links between the gross phenotypes across diets, whereas leucine and isoleucine thus exhibit genotype-by-diet interactions. Between diets, we find low conservation of the endophenotypes that correlate with the gross phenotypes. Through the follow-up expression study, we found that transcript-trait correlations are well conserved across populations raised on a familiar diet, but on a novel diet, the transcript-trait correlations are no longer conserved. Thus, physiological canalization of metabolic phenotypes breaks down in a novel environment exposing cryptic variation. We cannot predict the physiological basis of disease in a perturbing environment from profiles observed in the ancestral environment. This study demonstrates that variation for disease traits within a population is acquired through a multitude of physiological mechanisms, some of which transcend genetic and environmental influences, and others that are specific to an individual's genetic and environmental context.