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1.
Chinese Journal of Microbiology and Immunology ; (12): 965-972, 2022.
Artigo em Chinês | WPRIM | ID: wpr-995245

RESUMO

Objective:To investigate the epidemiological characteristics of influenza-like illnesses (ILI) and the etiological characteristics of influenza viruses in Minhang District of Shanghai from 2010 to 2021.Methods:The surveillance data collected by influenza surveillance sentinel hospitals and the influenza laboratory network from the first week of 2010 to the 52 nd week of 2021 were used for a statistical analysis. Results:A total of 122 903 cases with ILI were reported by the national influenza surveillance sentinel hospitals in Minhang during 2010 to 2021, and the average percentage of ILI cases was 0.94%, showing an increasing trend ( P<0.001). Among them, those aged 0-4, 5-14, 15-24, 25-59 and ≥60 years accounted for 4.35%, 13.30%, 14.30%, 54.32% and 13.73%, respectively. The percentage of ILI showed obvious periodicity. The seasonal incidence of ILI peaked from December to February and from July to September. But the winter peak at the beginning of 2013 was postponed. There was no significant peak in 2021. A total of 11 625 samples were tested from 2010 to 2021, in which the detection rate of influenza viruses was 20.92% (2 432/11 625). The positive rate was 12.83% (1 492/11 625) for influenza A viruses and 8.09% (940/11 625) for influenza B viruses, indicating that the epidemic intensity caused by influenza A viruses was greater than that caused by influenza B viruses. The overall positive rates for influenza A/H3N2 virus, influenza A/H1N1 virus, influenza B/Victoria lineage and influenza B/Yamagata lineage were 9.04% (1 051/11 625), 3.79% (441/11 625), 2.69% (313/11 625) and 2.19% (255/11 625) during 2010 to 2021. The predominant circulating strains altered between influenza A and influenza B viruses in Minhang District of Shanghai during 2010 to 2019. It generally took six months for an epidemic strain to be replaced by a new one. No obvious regularity was observed in 2020 or 2021. The tendency of the incidence of ILI reported from 2010 to 2019 was basically the same as that of the positive rate of influenza viruses, while there were significant differences in 2020 and 2021. Conclusions:Influenza viruses circulated seasonally in Minhang District of Shanghai with alternating prevalent viral subtypes and the infections mostly occurred in the winter and summer seasons. During the epidemic of COVID-19, the intensity of influenza was decreased, but with the normalization of prevention and control measures, the influenza epidemic showed an obvious upward trend. Therefore, it was important to strengthen the prevention and monitoring of influenza and analyze the virus variations in time.

2.
Chinese Journal of Biochemistry and Molecular Biology ; (12): 959-970, 2022.
Artigo em Chinês | WPRIM | ID: wpr-1015683

RESUMO

Gut microbiome sequencing studies have great potential to translate microbial analysis outcomes into human health research. Sequencing strategies of 16S amplicon and whole-metagenome shotgun (WMS) are two main methods in microbiome research with respective advantages. However, how sample heterogeneity, sequencers and library preparation protocols affect the sequencing reproducibility of gut microbiome needs further investigation. This study aims to provide a reference for the selection of sequencing technologies by comparing differences in microbial composition from different sampling sites. The results of three widely adopted sequencers showed that the technical repetition correlation (r= 0. 94) was high in WMS method, while the biological repetition correlation (r = 0. 69) was low. Bray-Curtis distance identified that dissimilarity from biological replicates was larger than that of technical replicates (P<0. 001). In addition, dissimilarity and specific taxonomic profiles were observed between 16S and WMS datasets. Our results imply that homogenization is a necessary step before sample DNA extraction. The sequencers contributed less to taxonomic variation than the library preparation protocols. We developed an empirical Bayes approach that " borrowed information" in calculations and analyzed batch effect parameters using standardized data and prior distributions of (non-) parameters, which may improve population comparability between 16S and WMS and provide a basis for further application to fusion analysis of published 16S and microbial datasets.

3.
Shanghai Journal of Preventive Medicine ; (12): 1215-1221, 2021.
Artigo em Chinês | WPRIM | ID: wpr-907142

RESUMO

Esophageal squamous cell carcinoma (ESCC) is a malignant tumor caused by both environmental and genetic factors. Epidemiology studies have identified smoking as a major environmental risk factor. In recent years, the advancement of genomics research has led to the recognition of the influence of genetic variation in ESCC. We reviewed the research progress in smoking, genetic polymorphism and their interaction on susceptibility to ESCC. Reducing exposure time to tobacco was found to be the most effective way to reduce the risk. At the genetic level, mutations in DNA repair genes, regulation genes of carcinogen-metabolizing enzymes, cell cycle regulation genes, folate metabolism related genes, and alcohol metabolism related genes were found to significantly increase the risk of ESCC. However, studies on the interaction between smoking and genetic polymorphisms in ESCC risk are still limited, more studies are needed for better screening of the high-risk populations and the prevention.

4.
Shanghai Journal of Preventive Medicine ; (12): 1215-1221, 2021.
Artigo em Chinês | WPRIM | ID: wpr-907119

RESUMO

Esophageal squamous cell carcinoma (ESCC) is a malignant tumor caused by both environmental and genetic factors. Epidemiology studies have identified smoking as a major environmental risk factor. In recent years, the advancement of genomics research has led to the recognition of the influence of genetic variation in ESCC. We reviewed the research progress in smoking, genetic polymorphism and their interaction on susceptibility to ESCC. Reducing exposure time to tobacco was found to be the most effective way to reduce the risk. At the genetic level, mutations in DNA repair genes, regulation genes of carcinogen-metabolizing enzymes, cell cycle regulation genes, folate metabolism related genes, and alcohol metabolism related genes were found to significantly increase the risk of ESCC. However, studies on the interaction between smoking and genetic polymorphisms in ESCC risk are still limited, more studies are needed for better screening of the high-risk populations and the prevention.

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