Search

Context: Depression is prevalent among Asian Americans (AsA) during the COVID-19 pandemic, and depression often leads to sleep disturbance in this population. The gut microbiota (GM) plays a critical role in mental health and sleep quality, and the composition of the GM is largely unknown among AsA. Objectives: Examine associations of the GM with depressive symptoms and sleep disturbance among Chinese and Korean American immigrants. Methods: Depressive symptoms (PROMIS Short Form-Depression) and sleep quality (Pittsburgh Sleep Quality Index [PSQI]) were collected via surveys. PROMIS measure T-score > 55 indicates positive depressive symptoms, and a total PSQI score > 5 indicates sleep disturbance. 16S rRNA V3-V4 gene regions were sequenced from fecal specimens to measure GM. Permutational multivariate analysis of variance and linear discriminant analysis effect size were applied to examine associations of the GM with symptoms. Results: Among 20 participants, 55% (n = 11) reported depressive symptoms and 35% (n = 7) reported sleep disturbance. A higher α-diversity was marginally associated with lower depressive symptoms: Chao1 (r = −0.39, p = 0.09) and Shannon index (r = −0.41, p = 0.08); β-diversity distinguished participants between categories of depressive symptoms (weighted UniFrac, p =0.04) or sleep disturbance (Jaccard, p =0.05). Those with depressive symptoms showed a higher abundance of Actinobacteria, while those without depressive symptoms had a higher abundance of Bacteroidetes. No significant taxa were identified for sleep disturbance. Conclusions: Gut microbial diversity showed promising associations with depressive symptoms and sleep disturbance among Chinese and Korean immigrants. Specific taxa were identified as associated with depressive symptoms. Future studies with a larger sample size are warranted to confirm our findings. [ABSTRACT FROM AUTHOR]

The colonization characteristics of infant gut microbiota are influenced by many factors at various stages, but few studies have explored the longitudinal effects of environmental tobacco smoke exposure and quantitative breastfeeding duration on young children' gut microbiota. We explored the effects of smoke exposure and breastfeeding duration on gut microbiota by following 37 maternal and children pairs in China for 2 years. We collected the demographic information, frequency of smoke exposure, breastfeeding duration, and fecal samples (mothers in the late pregnancy and infants at 6, 12, and 24 months), and analyzed the microbiota results using the V3-V4 gene sequence of 16S rRNA. The diversity of gut microbiota in children was the highest at 24 months and most similar to that in mothers. Breastfeeding duration was positively correlated with Lactobacillus and negatively correlated with Clostridium_sensu_stricto_1. The α diversity of microbiota and the relative abundance of [Ruminococcus]_gnavus_group was higher in the non-smoke exposed group. The higher the smoke exposure, the higher the relative abundance of Megasphaera. Prolonged breastfeeding and reduced smoke exposure are beneficial to the diversity and composition of gut microbiota in young children. [ABSTRACT FROM AUTHOR]