Multigenerational adversity impacts on human gut microbiome composition and socioemotional functioning in early childhood.

Adversity exposures in the prenatal and postnatal period are associated with an increased risk for psychopathology, which can be perpetuated across generations. Nonhuman animal research highlights the gut microbiome as a putative biological mechanism underlying such generational risks. In a sample of 450 mother-child dyads living in Singapore, we examined associations between three distinct adversity exposures experienced across two generations-maternal childhood maltreatment, maternal prenatal anxiety, and second-generation children's exposure to stressful life events-and the gut microbiome composition of second-generation children at 2 y of age. We found distinct differences in gut microbiome profiles linked to each adversity exposure, as well as some nonaffected microbiome features (e.g., beta diversity). Remarkably, some of the microbial taxa associated with concurrent and prospective child socioemotional functioning shared overlapping putative functions with those affected by adversity, suggesting that the intergenerational transmission of adversity may have a lasting impact on children's mental health via alterations to gut microbiome functions. Our findings open up a new avenue of research into the underlying mechanisms of intergenerational transmission of mental health risks and the potential of the gut microbiome as a target for intervention.

Toddler disorganized attachment in relation to cortical thickness and socioemotional problems in late childhood.

Disorganized attachment is a risk for mental health problems, with increasing work focused on understanding biological mechanisms. Examining late childhood brain morphology may be informative - this stage coincides with the onset of many mental health problems. Past late childhood research reveals promising candidates, including frontal lobe cortical thickness and hippocampal volume. However, work has been limited to Western samples and has not investigated mediation or moderation by brain morphology. Furthermore, past cortical thickness research included only 33 participants. The current study utilized data from 166 children from the GUSTO Asian cohort, who participated in strange situations at 18 months and MRI brain imaging at 10.5 years, with 124 administered the Child Behaviour Checklist at 10.5 years. Results demonstrated disorganization liked to internalizing problems, but no mediation or moderation by brain morphology. The association to internalizing (but not externalizing) problems is discussed with reference to the comparatively higher prevalence of internalizing problems in Singapore.

Is there a link between passive smoke exposure and early-onset myopia in preschool Asian children?

PURPOSE: To investigate the association of passive tobacco smoke exposure with early-onset myopia among three-year-old children in Singapore. METHODS: Pregnant mothers who attended their first trimester clinic at two major maternity units were recruited into the GUSTO birth cohort. The current analysis comprised 572 three-year-old children, who underwent cycloplegic autorefraction and axial length (AL) measurements. Myopia was defined as spherical equivalent (SE) of ≤-0.50 dioptres (D). Either parent completed questionnaires describing their child's exposure to passive smoke at six months, one and two years of age. RESULTS: There were 197 children (36.2%) who were exposed to passive smoke from birth to before six months. Compared to non-exposed children, children exposed to any passive smoke from birth to before six months experienced greater myopia prevalence (adjusted OR = 2.79; 95% CI: 1.24-6.29; p = 0.01). The odds of myopia in a child was greater if a smoker smokes at home, in the family car, or in the presence of the child (adjusted OR = 3.95; 95% CI: 1.41-11.09; p < 0.01) compared to non-exposed child. In contrast to myopia, childhood exposure to passive smoke did not systematically shift mean values for SE or AL. CONCLUSIONS: In this prospective birth cohort study, we found that childhood exposure to passive smoke from birth to before six months slightly increased the risk of early-onset myopia. This may indicate a delayed response to passive smoke exposure before six months and the development of myopia at three years of age. Our study is limited by the small number of myopic children at this young age. Thus, larger prospective studies using more objective cotinine level measures are required to fully establish and understand the influence of tobacco smoke on refractive development in older children.