Acute myocardial infarction(AMI)is a severe cardiovascular disease.This study aimed to identify crucial microRNAs(miRNAs)and mRNAs in AMI by establishing a miRNA-mRNA network.The microarray datasets GSE31568,GSE148153...Acute myocardial infarction(AMI)is a severe cardiovascular disease.This study aimed to identify crucial microRNAs(miRNAs)and mRNAs in AMI by establishing a miRNA-mRNA network.The microarray datasets GSE31568,GSE148153,and GSE66360 were downloaded from the Gene Expression Omnibus(GEO)database.We identified differentially expressed miRNAs(DE-miRNAs)and mRNAs(DE-mRNAs)in AMI samples compared with normal control samples.The consistently changing miRNAs in both GSE31568 and GSE148153 datasets were selected as candidate DE-miRNAs.The interactions between the candidate DE-miRNAs and DE-mRNAs were analyzed,and a miRNA-mRNA network and a protein-protein interaction network were constructed,along with functional enrichment and pathway analyses.A total of 209 DE-miRNAs in the GSE31568 dataset,857 DE-miRNAs in the GSE148153 dataset,and 351 DE-mRNAs in the GSE66360 dataset were identified.Eighteen candidate DE-miRNAs were selected from both the GSE31568 and GSE148153 datasets.Furthermore,miR-646,miR-127-5p,miR-509-5p,miR-509-3-5p,and miR-767-5p were shown to have a higher degree in the miRNA-mRNA network.THBS-1 as well as FOS was a hub gene in the miRNA-mRNA network and the protein-protein interaction(PPI)network,respectively.CDKN1A was important in both miRNA-mRNA network and PPI network.We established a miRNA-mRNA network in AMI and identified five miRNAs and three genes,which might be used as biomarkers and potential therapeutic targets for patients with AMI.展开更多
Environmental exposure to pesticides is widespread and commonly occurs in mixtures,and pregnant women are particularly concerned.Trimethylamine N-oxide(TMAO),a dietary-derived catabolite linked to cardiometabolic dise...Environmental exposure to pesticides is widespread and commonly occurs in mixtures,and pregnant women are particularly concerned.Trimethylamine N-oxide(TMAO),a dietary-derived catabolite linked to cardiometabolic disease,may be influenced by pesticide exposure.However,limited knowledge exists regarding the associations,and studies have primarily been restricted to single pesticides.To address this gap,we examined the associations of pesticide exposure with urinary TMA,TMAO,and TMAO-to-TMA ratio among 1067 pregnant women residing in a rural area.Latent class analysis(LCA)was applied to identify distinct patterns of pesticide exposure based on urinary metabolite concentrations.Multiple linear regression(MLR)models and Bayesian kernel machine regression(BKMR)models were employed to estimate the effects of single pesticides,exposure patterns,and combined exposure.Four distinct pesticide exposure patterns were identified.Higher concentrations of pesticide metabolites were found to be associated with increased urinary TMAO levels(β:0.043 to 0.254,p<0.05).In the MLR models for individual pesticides and exposure patterns,carbofuran phenol(CFP),pentachlorophenol(PCP),and 2-phenylphenol(OPP)exhibited positive associations with urinary TMA concentrations,while pyrethroid pesticide metabolites were correlated with the up-regulation of the TMAO-to-TMA ratio.Significant positive associations of pesticide mixtures with TMA,TMAO,and TMAO-to-TMA ratio were observed in the BKMR model,primarily driven by PCP and trans-DCCA.Our findings provided a perspective to reveal that the mechanisms and contributions to TMAO alterations may vary among different pesticides in mixture exposure.展开更多
基金supported by the funds from the National Natural Science Foundation of China(Grant No.81871359 and No.81800445).
文摘Acute myocardial infarction(AMI)is a severe cardiovascular disease.This study aimed to identify crucial microRNAs(miRNAs)and mRNAs in AMI by establishing a miRNA-mRNA network.The microarray datasets GSE31568,GSE148153,and GSE66360 were downloaded from the Gene Expression Omnibus(GEO)database.We identified differentially expressed miRNAs(DE-miRNAs)and mRNAs(DE-mRNAs)in AMI samples compared with normal control samples.The consistently changing miRNAs in both GSE31568 and GSE148153 datasets were selected as candidate DE-miRNAs.The interactions between the candidate DE-miRNAs and DE-mRNAs were analyzed,and a miRNA-mRNA network and a protein-protein interaction network were constructed,along with functional enrichment and pathway analyses.A total of 209 DE-miRNAs in the GSE31568 dataset,857 DE-miRNAs in the GSE148153 dataset,and 351 DE-mRNAs in the GSE66360 dataset were identified.Eighteen candidate DE-miRNAs were selected from both the GSE31568 and GSE148153 datasets.Furthermore,miR-646,miR-127-5p,miR-509-5p,miR-509-3-5p,and miR-767-5p were shown to have a higher degree in the miRNA-mRNA network.THBS-1 as well as FOS was a hub gene in the miRNA-mRNA network and the protein-protein interaction(PPI)network,respectively.CDKN1A was important in both miRNA-mRNA network and PPI network.We established a miRNA-mRNA network in AMI and identified five miRNAs and three genes,which might be used as biomarkers and potential therapeutic targets for patients with AMI.
文摘Environmental exposure to pesticides is widespread and commonly occurs in mixtures,and pregnant women are particularly concerned.Trimethylamine N-oxide(TMAO),a dietary-derived catabolite linked to cardiometabolic disease,may be influenced by pesticide exposure.However,limited knowledge exists regarding the associations,and studies have primarily been restricted to single pesticides.To address this gap,we examined the associations of pesticide exposure with urinary TMA,TMAO,and TMAO-to-TMA ratio among 1067 pregnant women residing in a rural area.Latent class analysis(LCA)was applied to identify distinct patterns of pesticide exposure based on urinary metabolite concentrations.Multiple linear regression(MLR)models and Bayesian kernel machine regression(BKMR)models were employed to estimate the effects of single pesticides,exposure patterns,and combined exposure.Four distinct pesticide exposure patterns were identified.Higher concentrations of pesticide metabolites were found to be associated with increased urinary TMAO levels(β:0.043 to 0.254,p<0.05).In the MLR models for individual pesticides and exposure patterns,carbofuran phenol(CFP),pentachlorophenol(PCP),and 2-phenylphenol(OPP)exhibited positive associations with urinary TMA concentrations,while pyrethroid pesticide metabolites were correlated with the up-regulation of the TMAO-to-TMA ratio.Significant positive associations of pesticide mixtures with TMA,TMAO,and TMAO-to-TMA ratio were observed in the BKMR model,primarily driven by PCP and trans-DCCA.Our findings provided a perspective to reveal that the mechanisms and contributions to TMAO alterations may vary among different pesticides in mixture exposure.
