Pregnancy specific shifts in the maternal microbiome and metabolome in the BPH5 mouse model of superimposed preeclampsia.

Preeclampsia (PE) is a life-threatening hypertensive disorder of pregnancy with an incidence rate of up to 8% worldwide. However, the complete pathogenesis is still unknown. Obesity increases the risk of developing PE three-fold.

Using machine learning to determine a functional classifier of reward responsiveness and its association with adolescent psychiatric symptomatology.

Background: Machine learning (ML) has developed classifiers differentiating patient groups despite concerns regarding diagnostic reliability. An alternative strategy, used here, is to develop a functional classifier (hyperplane) (e.g.

Analytical Performance of a Multiplexed Microarray Assay for Rapid Identification and Quantification of a Multivalent mRNA Vaccine.

mRNA vaccines were highly effective in response to the COVID-19 pandemic, making them an attractive platform to address cancers and other infectious diseases. Many new mRNA vaccines in development are multivalent, which represents a difficulty for the standard assays commonly used to characterize the critical quality attributes of monovalent formulations. Here, we present a multiplexed analytical tool with nucleic acid microarray technology using the VaxArray platform that measures the identity and quantity of mono- and multivalent mixtures of naked mRNA and mRNA encapsulated in lipid nanoparticle formulations in under 2 h without any additional preparation steps, such as extraction or RT-PCR.

Childhood neglect is associated with alterations in neural prediction error signaling and the response to novelty.

Background: One in eight children experience early life stress (ELS), which increases risk for psychopathology. ELS, particularly neglect, has been associated with reduced responsivity to reward. However, little work has investigated the computational specifics of this disrupted reward response - particularly with respect to the neural response to Reward Prediction Errors (RPE) - a critical signal for successful instrumental learning - and the extent to which they are augmented to novel stimuli.