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Prenatal Environmental Antibiotic Exposure and Autism Spectrum Disorder Symptoms in Children at 3 Years of Age:Findings from the Ma’anshan Birth Cohort Study
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作者 Baolin Wang feifei han +9 位作者 Peng Ding Juan Tong Kaiyong Liu Shuangqin Yan Sheng Wang Guanjun Chen Xiaoyan Wu Kun Huang Menglong Geng Fangbiao Tao 《Environment & Health》 2024年第9期651-660,共10页
ABSTRACT:Antibiotic exposure during pregnancy may affect the neurodevelopment of children,but biomonitoring-based population studies on this class of new pollutants are lacking.We conducted a prospective birth cohort ... ABSTRACT:Antibiotic exposure during pregnancy may affect the neurodevelopment of children,but biomonitoring-based population studies on this class of new pollutants are lacking.We conducted a prospective birth cohort study of 2860 mother−child pairs,measured the urinary concentrations of 41 antibiotics and their two metabolites over three trimesters,and assessed children’s autism spectrum disorder(ASD)symptoms at 3 years of age.We examined the associations between prenatal antibiotic exposure and children’s ASD symptoms.The least absolute shrinkage and selection operator regression screened for Tetracycline and Ofloxacin as important predictors of ASD symptoms.Modified Poisson regression models revealed that maternal Tetracycline exposure throughout pregnancy increased the risk of ASD symptoms(RR:1.66,95%CI:1.14,2.40).Maternal Tetracycline exposure during the first(RR:1.74,95%CI:1.13,2.68)and third trimesters(RR:1.86,95%CI:1.16,3.00)increased the risk of ASD symptoms in boys,and Ofloxacin exposure during the first trimester(RR:1.47,95%CI:1.07,2.02)increased the risk of ASD symptoms in girls.No dose-dependent relationships between prenatal antibiotic exposure and ASD symptoms were validated by restricted cubic splines.Prenatal exposure to Tetracycline and Ofloxacin may increase the risk of ASD symptoms in children,and the first and third trimesters might be the key windows. 展开更多
关键词 ANTIBIOTICS BIOMONITORING Urine biomarkers Prenatal exposure AUTISM Birth cohort
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New approaches for archaeal genome-guided cultivation 被引量:1
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作者 Yinzhao WANG Yoichi KAMAGATA +3 位作者 Meng LI feifei han Fengping WANG Xiang XIAO 《Science China Earth Sciences》 SCIE EI CSCD 2021年第10期1658-1673,共16页
Archaea,one of the three domains of life along with Bacteria and Eukarya,contains ancient life forms such as methanogen that are observed today on Earth,and one lineage Asgard archaea is also considered the closest an... Archaea,one of the three domains of life along with Bacteria and Eukarya,contains ancient life forms such as methanogen that are observed today on Earth,and one lineage Asgard archaea is also considered the closest ancestor of Eukarya.Recently,with the development of interdisciplinary studies from Earth and Life sciences,archaeal organisms are considered to play pivotal roles in geochemical cycling in nature.However,our understanding of the attributes,origin and evolution,geochemical and ecological functions of Archaea is hampered by the scarcity of archaeal isolates,which has represented a challenge to researchers for the last 40 years.Cultivation-independent sequencing and phylogenomic analyses have demonstrated a considerable diversity of Archaea with more than 20 novel phyla.However,only four archaeal phyla have cultured representatives,leaving large gaps in our knowledge of the metabolic capabilities and ecological functions of the majority of archaeal strains identified exclusively by DNA sequencing.In this review,we summarize the discovery and development of archaeal research,highlight the knowledge gap between uncultured and cultured archaeal microbes,and call on the importance of devoting greater research efforts to archaeal cultivation.Finally,we outlined new ideas and strategic approaches,namely,(1)genome-based methods,(2)microbial network information-based methods,(3)genome-scale model-guided methods,and(4)machine learning methods,to enable the cultivation of uncultivated archaeal microbes using accumulated high-throughput sequencing data. 展开更多
关键词 ARCHAEA CULTIVATION Next-generation sequencing Uncultured archaea GENOME Metabolic network
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