Objective:To analyze the epidemiological characteristics of influenza-like illness（ILI）and the genetic evolutionary trends of the hemagglutinin（HA）and neuraminidase（NA）genes of influenza A（H3N2）viruses isolated in Baotou during the 2022-2023 influenza season.Methods:Etiological surveillance data for ILI cases in Baotou during the 2022-2023 influenza season were collected from the China Influenza Surveillance Information System. Descriptive statistical analysis was performed on the data. HA and NA genes of 30 influenza A（H3N2）viruses were sequenced. Amino acid variation sites，glycosylation sites，drug resistance genes，and phylogenetic trees were analyzed using MEGA 11 software and the NextClade online analysis tool.Results:A total of 1 443 ILI specimens were tested，of which 241（16.70%）were positive for influenza viruses. Among the positive cases，influenza A（H3N2）virus-positive cases accounted for 75.93%（183/241）. The nucleotide sequence similarity of the HA gene between the 30 influenza A（H3N2）isolates and the vaccine strains A/Hong Kong/2671/2019（H3N2），A/Cambodia/e0826260/2020（H3N2），and A/Darwin/9/2021（H3N2）ranged from 96.83% to 98.77%，while the amino acid sequence similarity ranged from 94.63% to 99.62%. A total of 14 amino acid variation sites and 11 conserved glycosylation sites were identified in the HA gene. For the NA gene，the nucleotide sequence similarity ranged from 98.37% to 99.65%，and the amino acid sequence similarity ranged from 94.64% to 98.28%. A total of three amino acid variation sites and nine conserved glycosylation sites were found in the NA gene. None of the 30 influenza A（H3N2）isolates had mutations associated with drug resistance，and all belonged to the clade 3C.2a1b.2a.2a.3a.1.Conclusions:During the 2022-2023 influenza season in Baotou，the circulating influenza A（H3N2）viruses belong to the same evolutionary clade as the 2021-2022 vaccine strain A/Cambodia/e0826360/2020（H3N2）. The isolates from different sources share a common evolutionary origin；however，variations are observed across the genome in terms of homology，molecular mutations，and glycosylation patterns.

Objective:To study the characteristics of soil microbial composition in sheep sheds in agricultural and pastoral areas, and explore potential zoonotic pathogen species.Methods:Using cross-sectional survey method, soil samples from sheep sheds in the agricultural and pastoral areas of Darhan-Muminggan Joint County, Baotou City, Inner Mongolia Autonomous Region were collected from August to October 2023. Genomic DNA was extracted, and metagenomic second-generation sequencing was conducted. Microbial species annotation was carried out by Kaiju method, and the soil microbial composition and zoonotic pathogen species of sheep sheds in agricultural and pastoral areas were analyzed.Results:A total of 10 and 5 soil samples were collected from sheep sheds in agricultural and pastoral areas, respectively. The results of β diversity analysis showed that there was a significant separation trend in soil samples from sheep sheds in agricultural and pastoral areas, and the interpretation of principal co-ordinates analysis (PCoA) 1 and PCoA2 were 27.8% and 17.4%, respectively. There was no significant difference in the microbial composition of soil samples from sheep sheds in agricultural and pastoral areas ( R = 0.09, P = 0.242). At the phylum level, the dominant bacterial phyla were Actinobacteria, Proteobacteria, Firmicutes, and Bacteroidetes. At the genus level, the dominant bacterial genera were Corynebacterium, Luteimonas, Atopostipes, and Salinicoccus. A variety of zoonotic pathogens were detected, including Brucella melitensis, Mycobacterium tuberculosis, and Clostridium tetani in 15 soil samples. Conclusion:The soil microorganisms in sheep sheds in agricultural and pastoral areas are diverse, and zoonotic pathogens such as Brucella melitensis, Mycobacterium tuberculosis, and Clostridium tetani are detected.

Objective:To study the characteristics of soil microbial composition in sheep sheds in agricultural and pastoral areas, and explore potential zoonotic pathogen species.Methods:Using cross-sectional survey method, soil samples from sheep sheds in the agricultural and pastoral areas of Darhan-Muminggan Joint County, Baotou City, Inner Mongolia Autonomous Region were collected from August to October 2023. Genomic DNA was extracted, and metagenomic second-generation sequencing was conducted. Microbial species annotation was carried out by Kaiju method, and the soil microbial composition and zoonotic pathogen species of sheep sheds in agricultural and pastoral areas were analyzed.Results:A total of 10 and 5 soil samples were collected from sheep sheds in agricultural and pastoral areas, respectively. The results of β diversity analysis showed that there was a significant separation trend in soil samples from sheep sheds in agricultural and pastoral areas, and the interpretation of principal co-ordinates analysis (PCoA) 1 and PCoA2 were 27.8% and 17.4%, respectively. There was no significant difference in the microbial composition of soil samples from sheep sheds in agricultural and pastoral areas ( R = 0.09, P = 0.242). At the phylum level, the dominant bacterial phyla were Actinobacteria, Proteobacteria, Firmicutes, and Bacteroidetes. At the genus level, the dominant bacterial genera were Corynebacterium, Luteimonas, Atopostipes, and Salinicoccus. A variety of zoonotic pathogens were detected, including Brucella melitensis, Mycobacterium tuberculosis, and Clostridium tetani in 15 soil samples. Conclusion:The soil microorganisms in sheep sheds in agricultural and pastoral areas are diverse, and zoonotic pathogens such as Brucella melitensis, Mycobacterium tuberculosis, and Clostridium tetani are detected.

Objective:To analyze the epidemiological characteristics of influenza-like illness（ILI）and the genetic evolutionary trends of the hemagglutinin（HA）and neuraminidase（NA）genes of influenza A（H3N2）viruses isolated in Baotou during the 2022-2023 influenza season.Methods:Etiological surveillance data for ILI cases in Baotou during the 2022-2023 influenza season were collected from the China Influenza Surveillance Information System. Descriptive statistical analysis was performed on the data. HA and NA genes of 30 influenza A（H3N2）viruses were sequenced. Amino acid variation sites，glycosylation sites，drug resistance genes，and phylogenetic trees were analyzed using MEGA 11 software and the NextClade online analysis tool.Results:A total of 1 443 ILI specimens were tested，of which 241（16.70%）were positive for influenza viruses. Among the positive cases，influenza A（H3N2）virus-positive cases accounted for 75.93%（183/241）. The nucleotide sequence similarity of the HA gene between the 30 influenza A（H3N2）isolates and the vaccine strains A/Hong Kong/2671/2019（H3N2），A/Cambodia/e0826260/2020（H3N2），and A/Darwin/9/2021（H3N2）ranged from 96.83% to 98.77%，while the amino acid sequence similarity ranged from 94.63% to 99.62%. A total of 14 amino acid variation sites and 11 conserved glycosylation sites were identified in the HA gene. For the NA gene，the nucleotide sequence similarity ranged from 98.37% to 99.65%，and the amino acid sequence similarity ranged from 94.64% to 98.28%. A total of three amino acid variation sites and nine conserved glycosylation sites were found in the NA gene. None of the 30 influenza A（H3N2）isolates had mutations associated with drug resistance，and all belonged to the clade 3C.2a1b.2a.2a.3a.1.Conclusions:During the 2022-2023 influenza season in Baotou，the circulating influenza A（H3N2）viruses belong to the same evolutionary clade as the 2021-2022 vaccine strain A/Cambodia/e0826360/2020（H3N2）. The isolates from different sources share a common evolutionary origin；however，variations are observed across the genome in terms of homology，molecular mutations，and glycosylation patterns.

Objective:To study the changes in serum small molecule metabolites after brucella infection in humans using untargeted metabolomics methods, and screening representative biomarkers. Methods:A total of 109 serum samples collected from January 2019 to December 2021 at the Brucellosis Clinic of the Baotou Center for Disease Control and Prevention were divided into acute phase group ( n = 40), chronic phase group ( n = 35) of brucellosis, and healthy group ( n = 34) based on clinical diagnosis. Ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry technology was used to test serum samples and screen for differential metabolites. Receiver operating characteristic curve was used to evaluate the predictive ability of differential metabolites for brucellosis. Enriched pathways were screened using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway to identify metabolic pathways significantly affected. Results:A total of 17 differential metabolites were screened between the acute phase group and the healthy group, and 12 differential metabolites were screened between the chronic phase group and the healthy group. There were a total of 5 differential metabolites (oleamide, linoleamide, stearamide, palmitoleic acid, α-linolenic acid) statistically significant among the three groups ( F = 16.84, 17.52, 14.31, 13.01, 20.76, P < 0.05). KEGG pathway analysis showed that the differential metabolites in the acute phase group were enriched in metabolic pathways such as ether lipid metabolism, glycerophosphate metabolism, sphingolipid signal and sphingolipid metabolism. The differential metabolites in the chronic phase group were enriched in metabolic pathways such as glycerophosphate metabolism, ether lipid metabolism, protein digestion and absorption metabolism. Conclusion:Untargeted metabolomics methods can screen out serum small molecule metabolites that undergo changes after brucella infection in the human body, including oleamide, linoleamide, stearamide, palmitoleic acid, α-linolenic acid can serve as potential biomarkers to distinguish brucellosis patients from healthy people.

Objective:To analyze the viral genome sequence of novel coronavirus infected persons in Baotou City, understand the mutation characteristics of novel coronavirus genome in the process of transmission among cases, and explore the transmission rule of novel coronavirus in the clustered populations.Methods:Nine throat swabs samples (No. 1 - 7, No. 9, and No. 10), two sputum samples (No. 8, No. 11, and No. 11 sample was from No. 10 case), and one surface smear sample (No.12, and No. 12 sample was from No. 10 case) were collected from 10 confirmed cases of novel coronavirus infection in Baotou City from January 25 to February 21, 2020. Samples 1 and 3 were from single cases, and the rest were from clustered cases. The virus genome was sequenced by metagenomic next-generation sequencing (mNGS), and single nucleotide polymorphism (SNP) mutation sites were screened by comparing with NC_045512, a reference strain of novel coronavirus. Combined with relevant epidemiological information, gene mutation, virus typing, and evolutionary traceability analysis were carried out.Results:The results of viral genome mNGS showed that 76 SNP mutation sites were detected in 12 samples compared with the reference strain NC_045512, including 3 (3.95%) transitions and 73 (96.05%) reversals. There were 19 (25.00%) synonymous mutations and 57 (75.00%) non-synonymous mutations. The analysis of nucleotide and amino acid variation sites showed that mutations were found at five sites (T2821C, C6548T, T16464C, G16858A and T251C) in all the clustered cases (cases 2, 4 - 10). In the single cases, sample 1 had mutations at C9245T and A15340T, and sample 3 had mutation at C13T. The virus typing analysis showed that the samples 1 and 3 belonged to the L type of novel coronavirus, while the rest belonged to the S type of novel coronavirus. The results of genomic evolutionary relationship analysis showed that all the samples could be divided into two branches. The branches of sample 1 and 3 belonged to single cases, and the rest belonged to family clustered cases.Conclusion:The genomic characteristics of the clustered cases of novel coronavirus infection in Baotou City are basically consistent with the epidemiological investigation results, and the transmission of the virus is mainly related to close contact and family gathering.