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作 者:Jiejing Wang Yuejuan Li Yu Mu Kefei Huang Danyi Li Canhui Lan Yutao Cui Jun Wang
机构地区:[1]CAS Key Lab for Pathogenic Microbiology and Immunology,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100101,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]Beijing Dr.CUIYUTAO Clinic,Beijing 100028,China [4]R-Institute Co.Ltd.,Beijing 100011,China
出 处:《Science China(Life Sciences)》2024年第8期1739-1750,共12页中国科学(生命科学英文版)
基 金:supported by the National Key Research and Development Program of China(2022YFC2303200).
摘 要:The COVID-19 pandemic has caused many fatalities worldwide and continues to affect the health of the recovered patients in the form of long-COVID.In this study,we compared the gut microbiome of uninfected infants and children before the pandemic began(BEFORE cohort,n=906)to that of after the pandemic(AFTER cohort,n=220)to examine the potential impact of social distancing and life habit changes on infant/children gut microbiome.Based on 16S rRNA sequencing,we found a significant change in microbiome composition after the pandemic,with Bacteroides enterotype increasing to 35.45%from 30.46%before the pandemic.qPCR quantification indicated that the bacterial loads of seven keystone taxa decreased by 91.69%–19.58%.Quantitative microbiome profiling,used to enhance the resolution in detecting microbiome differences,revealed a greater explained variance of pandemic on microbiome compared to gender,as well as a significant decrease in bacterial loads in 15 of the 20 major genera.The random forest age-predictor indicated the gut microbiomes were less mature in the after-pandemic cohort than in the before-pandemic cohort in the children group(3–12 years old)and had features of a significantly younger age(average of 1.86 years).Lastly,body weight and height were significantly lower in the after-pandemic cohort than in the before-pandemic cohort in infants(<1 year of age),which was associated with a decrease in bacterial loads in the fecal microbiome.
关 键 词:gut microbiome COVID-19 pandemic quantitative microbiome profiling children health
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