Respiratory syncytial virus(RSV)is a significant cause of acute lower respiratory tract infection(ALRTI)in children underfive years of age.Between 2017 and 2021,396 complete sequences of the RSV F gene were obtained fro...Respiratory syncytial virus(RSV)is a significant cause of acute lower respiratory tract infection(ALRTI)in children underfive years of age.Between 2017 and 2021,396 complete sequences of the RSV F gene were obtained from 500 RSV-positive throat swabs collected from ten hospitals across nine provinces in China.In addition,151 sequences from China were sourced from GenBank and GISAID,making a total of 549 RSV F gene sequences subjected to analysis.Phylogenetic and genetic diversity analyses revealed that the RSV F genes circulating in China from 2017 to 2021 have remained relatively conserved,although some amino acids(AAs)have undergone changes.AA mutations with frequencies10%were identified at six sites and the p27 region:V384I(site I),N276S(site II),R213S(siteØ),and K124N(p27)for RSV A;F45L(site I),M152I/L172Q/S173 L/I185V/K191R(site V),and R202Q/I206M/Q209R(siteØ)for RSV B.Comparing mutational frequencies in RSV-F before and after 2020 revealed minor changes for RSV A,while the K191R,I206M,and Q209R frequencies increased by over 10%in RSV B.Notably,the nirsevimab-resistant mutation,S211N in RSV B,increased in frequency from 0%to 1.15%.Both representative strains aligned with the predicted RSV-F structures of their respective prototypes exhibited similar conformations,with low root-mean-square deviation values.These results could provide foundational data from China for the development of RSV mAbs and vaccines.展开更多
Norovirus(NoV)is a major pathogen that causes acute gastroenteritis(AGE)in people of all ages,especially in children.In this study,we investigated the molecular epidemiological characteristics of NoV in children with ...Norovirus(NoV)is a major pathogen that causes acute gastroenteritis(AGE)in people of all ages,especially in children.In this study,we investigated the molecular epidemiological characteristics of NoV in children with AGE in Shanghai from 2018 to 2021.The overall detection rate of NoV was 11.9%(181/1545),with annual detection rates of 9.4%(36/381),13.6%(29/213),5.8%(13/226)and 14.2%(103/725),respectively.Of note,the prevalence of NoV in 2020 was significantly lower than that in 2018-2019(10.9%,65/594)(P=0.023)and 2021(14.2%,103/725)(P=0.000).The 181 NoV strains identified in this study were classified into the GI group(1.1%,2/181),GII group(98.3%,178/181)and GIX group(0.6%,1/181)according to the VP1 gene.The most common NoV VP1 genotype was GII.4 Sydney_2012(63.5%,115/181),followed by GII.3(19.9%,36/181)and GII.2(9.4%,17/181).For P genotypes,174 strains were sequenced successfully according to the RdRp gene,and the predominant genotype was GII.P16(44.8%,78/174),followed by GII.P31(25.9%,45/174)and GII.P12(21.3%,37/174).Among the 174 cases,GII.4 Sydney_2012[P16](36.8%,64/174)was the dominant genotype,followed by GII.4 Sydney_2012[P31](25.3%,44/174),GII.3[P12](20.1%,35/174)and GII.2[P16](8.0%,14/174).In particular,the dominant genotypes in Shanghai changed from GII.4 Sydney_2012[P31]in 2018-2019 to GII.4 Sydney_2012[P16]in 2020-2021.This is the first report to describe the epidemiological changes in NoV infection before and during the COVID-19 pandemic in Shanghai.These data highlight the importance of continuous surveillance for NoV in children with AGE in Shanghai.展开更多
The complex mechanisms of the internal operation of cellular functions have not been fully resolved and these functions are regulated by multiple effects,such as transcription regulation,signal transduction,and enzyme...The complex mechanisms of the internal operation of cellular functions have not been fully resolved and these functions are regulated by multiple effects,such as transcription regulation,signal transduction,and enzyme catalysis,forming complex interactive mechanisms.This makes the construction of a whole-cell computational model,containing various complex cellular functions,very challenging.However,biological models have played a significant role in the field of systems biology,such as guiding gene-target mining and studying cell metabolic characteristics.Therefore,there is increasing research interest in the construction of whole-cell computational models.Combining two classical languages of systems biology,this review expounds on the development and challenges of whole-cell computational modeling from the two classical methods of steady-state and dynamic modeling.Finally,we propose a new approach for constructing whole-cell computational models.展开更多
基金supported by the National Key Research and Development Program of China(grant number 2023YFC2306002)National Science and Technology Major Projects(grant number 2017ZX10104001-005-010)+1 种基金CAMS Innovation Fund for Medical Sciences(CIFMS)(Grant Number 2019-I2M-5-026)Funding for Reform and Development of Beijing Municipal Health Commission.
文摘Respiratory syncytial virus(RSV)is a significant cause of acute lower respiratory tract infection(ALRTI)in children underfive years of age.Between 2017 and 2021,396 complete sequences of the RSV F gene were obtained from 500 RSV-positive throat swabs collected from ten hospitals across nine provinces in China.In addition,151 sequences from China were sourced from GenBank and GISAID,making a total of 549 RSV F gene sequences subjected to analysis.Phylogenetic and genetic diversity analyses revealed that the RSV F genes circulating in China from 2017 to 2021 have remained relatively conserved,although some amino acids(AAs)have undergone changes.AA mutations with frequencies10%were identified at six sites and the p27 region:V384I(site I),N276S(site II),R213S(siteØ),and K124N(p27)for RSV A;F45L(site I),M152I/L172Q/S173 L/I185V/K191R(site V),and R202Q/I206M/Q209R(siteØ)for RSV B.Comparing mutational frequencies in RSV-F before and after 2020 revealed minor changes for RSV A,while the K191R,I206M,and Q209R frequencies increased by over 10%in RSV B.Notably,the nirsevimab-resistant mutation,S211N in RSV B,increased in frequency from 0%to 1.15%.Both representative strains aligned with the predicted RSV-F structures of their respective prototypes exhibited similar conformations,with low root-mean-square deviation values.These results could provide foundational data from China for the development of RSV mAbs and vaccines.
基金This work was supported by grants from the Key Development Program of the Children's Hospital of Fudan University(grant no.EK2022ZX05).
文摘Norovirus(NoV)is a major pathogen that causes acute gastroenteritis(AGE)in people of all ages,especially in children.In this study,we investigated the molecular epidemiological characteristics of NoV in children with AGE in Shanghai from 2018 to 2021.The overall detection rate of NoV was 11.9%(181/1545),with annual detection rates of 9.4%(36/381),13.6%(29/213),5.8%(13/226)and 14.2%(103/725),respectively.Of note,the prevalence of NoV in 2020 was significantly lower than that in 2018-2019(10.9%,65/594)(P=0.023)and 2021(14.2%,103/725)(P=0.000).The 181 NoV strains identified in this study were classified into the GI group(1.1%,2/181),GII group(98.3%,178/181)and GIX group(0.6%,1/181)according to the VP1 gene.The most common NoV VP1 genotype was GII.4 Sydney_2012(63.5%,115/181),followed by GII.3(19.9%,36/181)and GII.2(9.4%,17/181).For P genotypes,174 strains were sequenced successfully according to the RdRp gene,and the predominant genotype was GII.P16(44.8%,78/174),followed by GII.P31(25.9%,45/174)and GII.P12(21.3%,37/174).Among the 174 cases,GII.4 Sydney_2012[P16](36.8%,64/174)was the dominant genotype,followed by GII.4 Sydney_2012[P31](25.3%,44/174),GII.3[P12](20.1%,35/174)and GII.2[P16](8.0%,14/174).In particular,the dominant genotypes in Shanghai changed from GII.4 Sydney_2012[P31]in 2018-2019 to GII.4 Sydney_2012[P16]in 2020-2021.This is the first report to describe the epidemiological changes in NoV infection before and during the COVID-19 pandemic in Shanghai.These data highlight the importance of continuous surveillance for NoV in children with AGE in Shanghai.
基金This work was fnancially supported by the National Key R&D Program of China(No.2019YFA0904300).
文摘The complex mechanisms of the internal operation of cellular functions have not been fully resolved and these functions are regulated by multiple effects,such as transcription regulation,signal transduction,and enzyme catalysis,forming complex interactive mechanisms.This makes the construction of a whole-cell computational model,containing various complex cellular functions,very challenging.However,biological models have played a significant role in the field of systems biology,such as guiding gene-target mining and studying cell metabolic characteristics.Therefore,there is increasing research interest in the construction of whole-cell computational models.Combining two classical languages of systems biology,this review expounds on the development and challenges of whole-cell computational modeling from the two classical methods of steady-state and dynamic modeling.Finally,we propose a new approach for constructing whole-cell computational models.
