ARHGAP12 and ARHGAP29 exert distinct regulatory effects on switching between two cell morphological states through GSK-3 activity.

Cancer cells undergo morphological changes and phenotype switching to promote invasion into healthy tissues. Manipulating the transitional morphological states in cancer cells to prevent tumor dissemination may enhance survival and improve treatment response. We describe two members of the RhoGTPase activating protein (ARHGAP) family, ARHGAP12 and ARHGAP29, as regulators of transitional morphological states in glioma via Src kinase signaling events, leading to morphological changes that correspond to phenotype switching.

A machine learning approach to leveraging electronic health records for enhanced omics analysis.

Omics studies produce a large number of measurements, enabling the development, validation and interpretation of systems-level biological models. Large cohorts are required to power these complex models; yet, the cohort size remains limited due to clinical and budgetary constraints. We introduce clinical and omics multimodal analysis enhanced with transfer learning (COMET), a machine learning framework that incorporates large, observational electronic health record databases and transfer learning to improve the analysis of small datasets from omics studies.

PregMedNet: Multifaceted Maternal Medication Impacts on Neonatal Complications.

While medication intake is common among pregnant women, medication safety remains underexplored, leading to unclear guidance for patients and healthcare professionals. PregMedNet addresses this gap by providing a multifaceted maternal medication safety framework based on systematic analysis of 1.19 million mother-baby dyads from U.

Persistence of a Proteomic Signature After a Hypertensive Disorder of Pregnancy.

Background: A hypertensive disorder of pregnancy is associated with a higher risk of cardiovascular disease later in life, but the potential mechanistic links are unknown.

Methods: We recruited 2 groups of women, 1 during pregnancy and another at least 2 years after delivery. Cases had a hypertensive disorder of pregnancy, and controls had a normotensive pregnancy.

Why Has Gastroschisis Increased Over Time and Why Is It More Common in Infants of Young Mothers?

Background: Although many factors are associated with gastroschisis risk, studies have not systematically explored whether they account for its increasing frequency over the past decades or its inverse association with maternal age. We examined whether previously reported risk factors for gastroschisis from the National Birth Defects Prevention Study (NBDPS) explain the association with increasing temporal prevalence or young maternal age.

Methods: Using data from the NBDPS (1997-2011), crude odds ratios (ORs) were calculated for birth years 2005-2011 versus 1997-2004 and maternal age < 25 versus 25+ years.