Identifying high school risk factors that forecast heavy drinking onset in understudied young adults

Heavy alcohol drinking is a major, preventable problem that adversely impacts the physical and mental health of US young adults. Studies seeking drinking risk factors typically focus on young adults who enrolled in 4-year residential college programs (4YCP) even though most high school graduates join the workforce, military, or community colleges. We examined 106 of these understudied young adults (USYA) and 453 4YCPs from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) by longitudinally following their drinking patterns for 8 years from adolescence to young adulthood. All participants were no-to-low drinkers during high school. Whereas 4YCP individuals were more likely to initiate heavy drinking during college years, USYA participants did so later. Using mental health metrics recorded during high school, machine learning forecasted individual-level risk for initiating heavy drinking after leaving high school. The risk factors differed between demographically matched USYA and 4YCP individuals and between sexes. Predictors for USYA drinkers were sexual abuse, physical abuse for girls, and extraversion for boys, whereas 4YCP drinkers were predicted by the ability to recognize facial emotion and, for boys, greater openness. Thus, alcohol prevention programs need to give special consideration to those joining the workforce, military, or community colleges, who make up the majority of this age group

Investigating Regulators of Daughter Cell Size Asymmetry in the C. elegans Q Neuroblast Lineage

Asymmetric cell division (ACD) is an important mechanism that generates cellular diversity during development. Not only do asymmetric cell divisions produce daughter cells of different fates, many can produce daughters of different sizes, which we refer to as Daughter Cell Size Asymmetry (DCSA). In C. elegans, apoptotic cells are frequently produced by asymmetric divisions that exhibit DCSA, where the smaller daughter dies. We focus here on the divisions of the Q.a and Q.p neuroblasts, which produce apoptotic cells and divide with opposite polarity using both distinct and overlapping mechanisms. The PIG-1/MELK and TOE-2 proteins both regulate DCSA and specify the apoptotic cell fate in both the Q.a and Q.p divisions. In many asymmetric cell divisions, the non-muscle myosin NMY-2 is involved in properly positioning the cleavage furrow to produce daughters of unequal size. It was previously reported that NMY-2 is asymmetrically distributed and required for the DCSA of Q.a but not Q.p. In this study, we examined endogenously tagged reporters of NMY-2, TOE-2, and PIG-1 and found that all were asymmetric at the cortex during both the Q.a and Q.p divisions. TOE-2 and NMY-2 were biased toward the side of the dividing cell that would produce the smaller daughter, whereas PIG-1 was biased toward the side that would produce the larger daughter. We used temperature-sensitive nmy-2 mutants to determine the role of nmy-2 in these divisions and found that these mutants only displayed DCSA defects in the Q.p division. We generated double mutant combinations between the nmy-2 mutations and mutations in toe-2 and pig-1. The nmy-2 mutations did not significantly alter the DCSA of the toe-2 and pig-1 mutants but did alter the fate of the Q.a and Q.p daughters. This finding suggests that NMY-2 functions together with TOE-2 and PIG-1 to regulate DCSA but plays an independent role in specifying the fate of the Q.a and Q.p descendants

Brain Dynamics Underlying Cognitive Flexibility Across the Lifespan

Abstract The neural mechanisms contributing to flexible cognition and behavior and how they change with development and aging are incompletely understood. The current study explored intrinsic brain dynamics across the lifespan using resting-state fMRI data (n = 601, 6–85 years) and examined the interactions between age and brain dynamics among three neurocognitive networks (midcingulo-insular network, M-CIN; medial frontoparietal network, M-FPN; and lateral frontoparietal network, L-FPN) in relation to behavioral measures of cognitive flexibility. Hierarchical multiple regression analysis revealed brain dynamics among a brain state characterized by co-activation of the L-FPN and M-FPN, and brain state transitions, moderated the relationship between quadratic effects of age and cognitive flexibility as measured by scores on the Delis-Kaplan Executive Function System (D-KEFS) test. Furthermore, simple slope analyses of significant interactions revealed children and older adults were more likely to exhibit brain dynamic patterns associated with poorer cognitive flexibility compared with younger adults. Our findings link changes in cognitive flexibility observed with age with the underlying brain dynamics supporting these changes. Preventative and intervention measures should prioritize targeting these networks with cognitive flexibility training to promote optimal outcomes across the lifespan