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This study explored the physical and clinical phenotype of Bangladeshi children with autism spectrum disorder (ASD). A totally of 283 children who were referred for screening and administered Module 1 of the Autism Diagnostic Observation Schedule (ADOS) were included. Overall, 209 met the ADOS algorithmic cutoff for ASD. A trend for greater weight and head circumference was observed in children with ASD versus non-ASD. Head circumference was significantly (p < 0.03) larger in ASD males compared with non-ASD males. A trend was also observed for symptom severity, higher in females than males (p = 0.068), with further analyses demonstrating that social reciprocity (p < 0.014) and functional play (p < 0.03) were significantly more impaired in ASD females than males. The findings help understand sex differences in ASD.

This document is a compilation of research articles that focus on the gut microbiota of fish. The articles cover a range of topics, including the impact of sampling season and catching site on gut microbiota composition, the effects of diet on the microbiota and health of fish, the role of gut microbiota in fish disease and immunity, and the interactions between the gut microbiome and the aquatic environment in fisheries and aquaculture. These articles provide valuable insights into the diversity and functions of fish gut microbiota and its implications for fish health and aquaculture practices. [Extracted from the article]

The present study aimed to systematically investigate the underlying differences in flesh quality between wild and farmed Monopterus albus. Fifteen healthy M. albus per group with an average body weight of 45 g were sampled to analyze muscle parameters by biochemical indicators, histomorphology, and molecular biology. Compared with the wild fish, the farmed M. albus in flesh had lower crude protein, collagen, lysine, histidine, total amino acids, SFA, n-3 PUFA contents, and n-3/n-6 ratio (p < 0.05), and higher moisture, crude lipid, crude ash, MUFA, n-6PUFA, and total PUFA contents (p < 0.05). The thawing loss, drip loss, steaming loss, and boiling loss in the farmed group were significantly higher, and hardness, springiness, cohesiveness, gumminess, chewiness, and resilience were significantly lower than those in the wild group (p < 0.05). In addition, higher muscle fiber density and lower muscle fiber diameter were observed in wild M. albus (p < 0.05). In muscle transcriptome profiling, differentially expressed genes and enriched pathways are primarily associated with muscle development, protein synthesis, catabolism, lipid metabolism, and immunity. To the best of our knowledge, this is the first investigation that compares the flesh quality between wild and farmed M. albus in terms of biochemistry, histology, and molecular biology levels. Overall, wild M. albus had a higher nutritional value and texture quality than farmed M. albus. [ABSTRACT FROM AUTHOR]

Autism spectrum disorder is a developmental disorder that includes deficits in social communication and interaction, and restricted and repetitive behaviours, interests, or activities. This survey was done to assess autism spectrum disorder prevalence in 16- to 30-month-old children at an urban–rural distribution and determine the association of socioeconomic and demographic conditions. An observational cross-sectional study was conducted in 30 districts of Bangladesh. Three-stage cluster sampling was used with 'Red Flag', Modified Checklist for Toddlers and Diagnostic and Statistical Manual of Mental Disorders, 5th Edition, respectively. Data editing and analysis were done using CSPro 6 and SPSS 23. The survey included 37,982 households (71% rural, 29% urban) with 38,440 children. 'Red Flag' was positive in 209/10,000 children. Modified Checklist for Toddlers was positive in 149/10,000 children. Diagnostic and Statistical Manual of Mental Disorders, 5th Edition– positive autism spectrum disorder prevalence was 17/10,000 young children (boys 24/10,000, girls 9.8/10,000). Prevalence was higher in urban than rural (25/10,000 and 14/10,000 respectively). It was 77/10,000 in mothers aged 35–39 years and 23/10,000 in children of fathers aged 40 years. For families within the lowest wealth quintile, the autism spectrum disorder prevalence was 15/10,000. Autism spectrum disorder at very young ages in Bangladesh is still low. It was higher in urban areas, with the advanced age of parents, especially mothers, and in families with higher wealth quintiles. A nationwide survey was done in Bangladesh to assess autism spectrum disorder prevalence in 16- to 30-month-old children at urban–rural distribution and to determine the association with socioeconomic and demographic conditions. A three-stage cluster sampling method was used where districts from all divisions were selected in the first stage, census enumeration areas as blocks of households were selected in the second stage and households (within the blocks) were selected in the third stage. Thereby, it included 38,440 children from 37,982 households (71% rural, 29% urban) aged 16–30 months from 30 districts of eight divisions of Bangladesh. Screening was done with a 'Red Flag' tool and Modified Checklist for Toddlers and a final diagnosis using Diagnostic and Statistical Manual of Mental Disorders, 5th Edition for autism spectrum disorder. Autism spectrum disorder prevalence was 17 per 10,000 young children – in other words, one in 589 young children. Boys were found at higher risk of autism (one in 423 boys; one in 1026 girls). Prevalence of autism spectrum disorder was higher in urban environments than in rural ones – 25/10,000 and 14/10,000, respectively. More autism spectrum disorder children were found in advanced age groups of parents, especially mothers, and in households with a higher wealth quintile. This survey is significant as it covers both urban and rural areas and specifically targets very young children. The involvement of the Bangladesh Bureau of Statistics, as well as support from the entire healthcare system infrastructure, makes this survey more representative on a national level. Its results will form a database to support the development of an effective early intervention programme in Bangladesh. We hope it will prove useful for researchers, clinicians and frontline healthcare workers, and inform the decisions of policymakers and funders in Bangladesh. [ABSTRACT FROM AUTHOR]