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Background: Changes of maternal triglyceride concentrations are closely associated with intrauterine fetal growth and development, but the effect of mid‐ to late‐term triglyceride changes on birth weight is uncertain. This study investigated the association between changes in triglycerides in mid to late in pregnant women gestational age ≥ 35 weeks on neonatal birth weight and adverse outcomes. Methods: This cohort study was based on 931 pregnant women with a singleton delivery at gestational age ≥ 35 weeks from January 1, 2022 to December 31, 2022 at Nanjing Lishui People's Hospital (NJLSPH) in China, with all maternal triglyceride concentrations measured at mid‐term and late‐term before delivery. The primary outcomes were neonatal birth weight and the risk of macrosomia. Results: Late term triglyceride levels were positively associated with birth weight (β = 126.40, 95% CI: 61.95, 190.84, p <.001) and risk of macrosomia (OR = 2.11, 95% CI: 1.12, 3.98, p =.022). Late mid‐term triglyceride was positively associated with birth weight (β = 27.58, 95% CI: 9.67, 45.50, p =.003), and no correlation with risk of macrosomia (OR = 1.12, 95% CI: 0.95, 1.31, p =.178). Mid‐term triglyceride was not associated with birth weight (β = 45.79, 95% CI: −28.73, 120.30, p =.229) and risk of macrosomia (OR = 1.83, 95% CI: 0.89, 3.78, p =.101). Conclusion: Late triglyceride levels were associated with birth weight and risk of macrosomia, while late to mid‐term triglyceride were associated with birth weight but not with risk of macrosomia. This suggests that maternal triglyceride changes may affect fetal growth and development, and more studies focusing on the effects of gestational triglyceride profiles are warranted. [ABSTRACT FROM AUTHOR]

Background: Maintaining good sleep quality is crucial for improving the efficiency of college students. Therefore, this cross-sectional study aims to elucidate the prevalence of sleep disorders among students and analyze its risk factors., Methods: A cross-sectional study was conducted on college students between March 2022 and December 2022. A well-designed questionnaire was filled out by college students from a certain university in China. Students whose scores on the Pittsburgh Sleep Quality Index (PSQI) scale exceeded 8 were included in the sleep disorder group (SD group), while those with lower were included in the non-sleep disorder group (ND group). Furthermore, single-factor analysis was used to investigate the relationship between general information and sleep disorders. Additionally, multifactor logistic regression was utilized to identify the independent risk factors contributing to the occurrence of sleep disorders among college students., Results: We observed that the total PSQI score was 7.00 ± 2.17, and the incidence of sleep disorders was 38% among 326 college students. The level of sleep disorders was low (35.89%), scoring 2 or 3 in each component. A high number of students (78.22%) did not use sleep medication in the past 1 month. The level of daytime dysfunction was low (25.76%), scoring 2 or 3 in each section. The differences between the two groups in terms of academic performance, economic level, risk of smartphone addiction, pressure level, family relationship, and physical activity were statistically significant (p < 0.05). Furthermore, multifactor logistic regression analysis indicated that several factors, such as academic performance, smartphone addiction risk, pressure level, and family relationship, were independent risk factors affecting the occurrence of sleep disorders among college students (p < 0.05)., Conclusion: The prevalence of sleep disorders among students in a certain university is 38%. Factors affecting sleep disorders include poor academic performance, high smartphone addiction risk and stress levels, and challenging family relationship.

Microbial secondary metabolites have a wide range of biological activities due to their structural diversity and have been proved a major source for drug lead compounds. However,the traditional method of a single culture restricts the metabolic pathways of microorganisms and as a result many metabolites cannot be formed. Recently,it has attracted much attention to use various techniques to activate those metabolic pathways restricted by the traditional method to get metabolic products with rich variety of structures. "One strain many compounds" (OSMAC) is a simple and effective approach for activating metabolic pathways and has been successfully applied. This review summarizes the common strategies of the OSMAC approach (altering cultivation parameters, co-cultivation, addition of enzyme inhibitors, etc) and the recent advances of OSMAC combined with genomics scanning. This review also introduces the research of our studies using the OSMAC approach on a fungus Spicaria elegans KLA03 which yielded a series of cytochalasins.