Does PM1 exposure during pregnancy impact the gut microbiota of mothers and neonates?

BACKGROUND: Ambient air pollutant exposure can change the composition of gut microbiota at 6-months of age, but there is no epidemiological evidence on the impacts of exposure to particulate matter with an aerodynamic diameter ≤1 µm (PM1) during pregnancy on gut microbiota in mothers and neonates. We aimed to determine if gestational PM1 exposure is associated with the gut microbiota of mothers and neonates. METHODS: Leveraging a mother-infant cohort from the central region of China, we estimated the exposure concentrations of PM1 during pregnancy based on residential address records. The gut microbiota of mothers and neonates was analyzed using 16 S rRNA V3-V4 gene sequences. Functional pathway analyses of 16 S rRNA V3-V4 bacterial communities were conducted using Tax4fun. The impact of PM1 exposure on α-diversity, composition, and function of gut microbiota in mothers and neonates was evaluated using multiple linear regression, controlling for nitrogen dioxide (NO2) and ozone (O3). Permutation multivariate analysis of variance (PERMANOVA) was used to analyze the interpretation degree of PM1 on the sample differences at the OTU level using the Bray-Curtis distance algorithm. RESULTS: Gestational PM1 exposure was positively associated with the α-diversity of gut microbiota in neonates and explained 14.8% (adj. P = 0.026) of the differences in community composition among neonatal samples. In contrast, gestational PM1 exposure had no impact on the α- and ß-diversity of gut microbiota in mothers. Gestational PM1 exposure was positively associated with phylum Actinobacteria of gut microbiota in mothers, and genera Clostridium_sensu_stricto_1, Streptococcus, Faecalibacterium of gut microbiota in neonates. At Kyoto Encyclopedia of Genes and Genomes pathway level 3, the functional analysis results showed that gestational PM1 exposure significantly down-regulated Nitrogen metabolism in mothers, as well as Two-component system and Pyruvate metabolism in neonates. While Purine metabolism, Aminoacyl-tRNA biosynthesis, Pyrimidine metabolism, and Ribosome in neonates were significantly up-regulated. CONCLUSIONS: Our study provides the first evidence that exposure to PM1 has a significant impact on the gut microbiota of mothers and neonates, especially on the diversity, composition, and function of neonatal meconium microbiota, which may have important significance for maternal health management in the future.

Associations between the Gut Microbiome and Migraines in Children Aged 7-18 Years: An Analysis of the American Gut Project Cohort.

BACKGROUND: The gut microbiome seems to play a role in migraines through increasing intestinal epithelial permeability and pro-inflammatory processes. The associations between the gut microbiome and migraines are uncertain in children. AIM: The purpose of this quantitative study was to examine the associations between the gut microbiome and migraines in children aged 7-18 years from the American Gut Project (AGP). METHOD: A cohort of children aged 7-18 years from the AGP was analyzed. 16S rRNA V4 gene sequences for the gut microbiome, migraines, and demographics were obtained from the AGP Public Repository. After quality control of 16S rRNA gene sequences, α-diversity (Shannon, Faith's_PD, and evenness) and ß-diversity metrics (Bray-Curtis and weighted-UniFrac distances), taxonomy, and abundance analyses were implemented using QIIME 2. RESULTS: In total, 381 children (341 without migraines; 40 with professional or self-diagnosed migraines) were analyzed with a mean age of 11.5 years. Compared with those without migraines, children with migraines showed lower estimates in Shannon and Faith's_PD (p < .01). Both Bray-Curtis and weighted-UniFrac distances displayed the gut microbial dissimilarities between these two groups (p = .001). Children with migraines had higher abundances in genus of phylum Bacteroidetes (Bacteroides, Parabacteroides, Odoribacter), Actinobacteria (Eggerthella, Varibaculum), Firmicutes (SMB53, Lachnospira, Dorea, Veillonella, Anaerotruncus, Butyricicoccus, Coprobacillus, Eubacterium), and Proteobacteria (Sutterella) than children without migraines. CONCLUSIONS: Associations of the gut microbiome diversity and abundances with migraines in children indicated potential biological mechanisms of migraines. Future work needs to confirm our findings in children.

A Pilot Study of the Gut Microbiota Associated With Depressive Symptoms and Sleep Disturbance Among Chinese and Korean Immigrants in the United States.

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); ß-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.

Effects of cognitive stimulation therapy on patients with dementia: An umbrella review of systematic reviews and meta-analyses.

BACKGROUND: Dementia is characterized by significant cognitive decline that results in disturbance of daily activities. Increasing number of meta-analyses has examined the efficacy of cognitive stimulation therapy (CST) for dementia. However, there is a lack of comprehensive reports that specifically discuss the strength of evidence to support CST for dementia. PURPOSE: This study aimed to summarize evidence regarding the efficacy of CST on people with dementia. DESIGN: Umbrella review of systematic reviews and meta-analyses. METHODS: We searched Cochrane Library, PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data, China Biology Medicine disc (CBMdisc), and VIP databases from inception to December 31, 2022. The methodological quality of the identified studies was assessed using A Measurement Tool to Assess Systematic Reviews 2 (AMSTAR 2). Studies scoring 9-12 (moderate quality) points or higher were further analyzed using Grades of Recommendations Assessment, Development and Evaluation (GRADE) principles. RESULTS: A total of 14 systematic reviews and meta-analyses were included in the umbrella review. The methodological quality of most included reviews was rated as moderate according to AMSTAR 2 rating system. In these studies, we summarized the characteristics of the content, providers, frequency, period and setting of CST, and examined eight health outcomes related to CST, including cognition, depression, behavioral symptoms, quality of life (QoL), activities of daily living (ADL), language and communication, anxiety, and memory. Eleven studies with low to high rating of overall confidence (OC) consistently reported that CST could significantly improve cognition of people with dementia, including high-quality supporting evidence. However, the effect of CST on other health outcomes for people with dementia (e.g., depression, behavioral symptoms, QoL, ADL) is inconsistent, with low- to moderate-quality evidence ratings. Compared with the above results, few studies have reported the effects of CST on communication, anxiety, and memory for people with dementia. CONCLUSIONS: In the future, the design and reporting of systematic reviews and meta-analyses should incorporate high-quality research metrics in accordance with AMSTAR 2 criteria. The current review supports CST as an effective treatment for improving cognitive function in patients with dementia. Multi-component interventions are more effective than single-component interventions and need to be delivered regularly. REGISTRATION: The protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO) database (CRD42022364259).

Longitudinal profiles of the fecal metabolome during the first 2 years of life.

During the first 2 years of life, the infant gut microbiome is rapidly developing, and gut bacteria may impact host health through the production of metabolites that can have systemic effects. Thus, the fecal metabolome represents a functional readout of gut bacteria. Despite the important role that fecal metabolites may play in infant health, the development of the infant fecal metabolome has not yet been thoroughly characterized using frequent, repeated sampling during the first 2 years of life. Here, we described the development of the fecal metabolome in a cohort of 101 Latino infants with data collected at 1-, 6-, 12-, 18-, and 24-months of age. We showed that the fecal metabolome is highly conserved across time and highly personalized, with metabolic profiles being largely driven by intra-individual variability. Finally, we also identified several novel metabolites and metabolic pathways that changed significantly with infant age, such as valerobetaine and amino acid metabolism, among others.

The potential role of early life feeding patterns in shaping the infant fecal metabolome: implications for neurodevelopmental outcomes.

Infant fecal metabolomics can provide valuable insights into the associations of nutrition, dietary patterns, and health outcomes in early life. Breastmilk is typically classified as the best source of nutrition for nearly all infants. However, exclusive breastfeeding may not always be possible for all infants. This study aimed to characterize associations between levels of mixed breastfeeding and formula feeding, along with solid food consumption and the infant fecal metabolome at 1- and 6-months of age. As a secondary aim, we examined how feeding-associated metabolites may be associated with early life neurodevelopmental outcomes. Fecal samples were collected at 1- and 6-months, and metabolic features were assessed via untargeted liquid chromatography/high-resolution mass spectrometry. Feeding groups were defined at 1-month as 1) exclusively breastfed, 2) breastfed >50% of feedings, or 3) formula fed ≥50% of feedings. Six-month groups were defined as majority breastmilk (>50%) or majority formula fed (≥50%) complemented by solid foods. Neurodevelopmental outcomes were assessed using the Bayley Scales of Infant Development at 2 years. Changes in the infant fecal metabolome were associated with feeding patterns at 1- and 6-months. Feeding patterns were associated with the intensities of a total of 57 fecal metabolites at 1-month and 25 metabolites at 6-months, which were either associated with increased breastmilk or increased formula feeding. Most breastmilk-associated metabolites, which are involved in lipid metabolism and cellular processes like cell signaling, were associated with higher neurodevelopmental scores, while formula-associated metabolites were associated with lower neurodevelopmental scores. These findings offer preliminary evidence that feeding patterns are associated with altered infant fecal metabolomes, which may be associated with cognitive development later in life.

Effects of psychiatric disorders on ultrasound measurements and adverse perinatal outcomes in Chinese pregnant women: A ten-year retrospective cohort study.

BACKGROUND: Placental health and serial fetal ultrasound parameters deficits in fetal development in women with psychiatric disorders have yet to be understood. This study aimed to examine the effects of psychiatric disorders on placental health, ultrasound measurements, and adverse perinatal outcomes among Chinese pregnant women. METHODS: All the pregnant women with psychiatric disorders who delivered at Women's Hospital School of Medicine, Zhejiang University, China, between 2010 and 2020 were included. A total of 992 women (716 in the healthy control group and 276 in the psychiatric disorders group) were recruited. Outcomes include maternal and neonatal birth outcomes. Linear and logistic regression models were used to determine the beta (ß) and odds ratios (OR) across 2 models after adjusting for multiple covariates. RESULTS: For women with psychiatric diagnoses, the mean placental measurements and serial fetal ultrasound parameters, and neonatal birth weight were lower than general pregnant women. After controlling the use of psychotropic medication during pregnancy, women with psychiatric diagnoses showed higher rates of placental implantation abnormalities or placental adhesion (OR = 5.724, 95% CI = [1.805, 15.408]), gestational diabetes mellitus (OR = 3.861, 95% CI = [2.109, 7.068]), anemia in pregnancy (OR = 4.944, 95% CI = [2.306, 10.598]), preterm birth <37 weeks' gestation (OR = 3.200, 95% CI = [1.702, 6.016]), low birth weight (OR = 11.299, 95% CI = [4.068, 31.386]), and neonatal intensive care unit admission (OR = 3.143, 95% CI = [1.656, 5.962]) compared to women in the healthy control group. CONCLUSION: Pregnant women with psychiatric disorders were more likely to have poor placental outcomes, more ultrasound parameter abnormalities and obstetrical complications, and a higher risk for adverse birth outcomes.