Associations of maternal night shift work during pregnancy with DNA methylation in offspring: a meta-analysis in the PACE consortium.

Background: Night shift work during pregnancy has been associated with differential DNA methylation in placental tissue, but no studies have explored this association in cord blood. We aimed to examine associations of maternal night shift work with cord blood DNA methylation.

Methods: A total of 4487 mother-newborn pairs from 7 studies were included.

A conserved switch to less catalytically active Polycomb repressive complexes in non-dividing cells.

Polycomb repressive complex 2 (PRC2), composed of the core subunits EED, SUZ12, and either EZH1 or EZH2, is critical for maintaining cellular identity in multicellular organisms. PRC2 deposits H3K27me3, which is thought to recruit the canonical form of PRC1 (cPRC1) to promote gene repression. Here, we show that EZH1-PRC2 and cPRC1 are the primary Polycomb complexes on target genes in non-dividing, quiescent cells.

Developmental trajectories of visual orienting functions in children born very or extremely preterm.

Background And Aims: Preterm birth increases the risk of neurodevelopmental impairments, such as Cerebral Visual Impairment (CVI), which affects visual processing. Assessing visual functions in young children is challenging with traditional methods that often rely on verbal/motor responses. The aim of the study was to investigate the developmental trajectories of Visual Orienting Functions (VOF) in children born very preterm (<32 weeks gestational age) between 2 and 5 years corrected age (CA) using eye tracking.

Deep learning-based pelvimetry in pelvic MRI volumes for pre-operative difficulty assessment of total mesorectal excision.

Background: Specific pelvic bone dimensions have been identified as predictors of total mesorectal excision (TME) difficulty and outcomes. However, manual measurement of these dimensions (pelvimetry) is labor intensive and thus, anatomic criteria are not included in the pre-operative difficulty assessment. In this work, we propose an automated workflow for pelvimetry based on pre-operative magnetic resonance imaging (MRI) volumes.