Objective:To investigate the epidemic characteristics of human brucellosis and the awareness of brucellosis prevention and control knowledge among occupational populations in Xuzhou City, Jiangsu Province.Methods:The data of brucellosis cases reported from January to December 2023 in the China Disease Prevention and Control Information System's Infectious Disease Surveillance System where the current residence was Xuzhou City, were collected. The epidemiological distribution characteristics across the three dimensions (time, region, and population) were analyzed, and the etiological characteristics of Brucella strains collected from sentinel hospitals in Xuzhou City during the same period were analyzed. Meanwhile, in September 2023, a survey was conducted on the awareness of brucellosis prevention and control knowledge among occupational populations in 7 counties (cities, districts) with a high incidence of brucellosis in Xuzhou City. Binary logistic regression was used to analyze the influencing factors. Results:In 2023, a total of 124 human brucellosis cases were reported in Xuzhou City, with an annual incidence rate of 1.37/100 000. Brucellosis occurred in all months of the year, with a peak incidence from May to August, accounting for 46.77% (58/124). The incidence rate of brucellosis in Feng County, Pei County, Suining County, Xinyi City and Pizhou City (1.86/100 000) was higher than that in Gulou District, Yunlong District, Quanshan District, Jiawang District and Tongshan District (0.71/100 000), with a statistically significant difference (χ 2 = 19.15, P < 0.001). Among 124 cases of brucellosis, 81 cases (65.32%) were males and 43 cases (34.68%) were females. The incidence rate of brucellosis in males (1.78/100 000) was higher than that in females (0.96/100 000), with a statistically significant difference (χ 2 = 11.08, P < 0.001). The 55 - 64 age group reported a relatively higher number of cases (45 cases, 36.29%), with an incidence rate of 3.97/100 000. The main occupation was farmers (85 cases, 68.55%). In 2023, a total of 9 strains of Brucella were collected from the sentinel hospitals in Xuzhou City, all of which were Brucella melitensis, mainly classified as biotype 3 (7/9). In 2023, a total of 984 occupational population with brucellosis were surveyed in Xuzhou City, and the overall awareness rate of brucellosis prevention and control knowledge was 3.25% (32/984). By binary logistic regression analysis, the awareness rates of brucellosis prevention and control knowledge among veterinarians and those with high school or vocational school education, college education or above were relatively high [ OR (95% CI): 21.24 (1.52 - 297.74), 13.32 (3.48 - 50.96), 18.90 (3.68 - 97.13), P < 0.05]. Conclusions:In 2023, the incidence rate of human brucellosis in Xuzhou City is at a relatively high level, with men, middle-aged and elderly people, and farmers as the main population. The awareness rate of brucellosis prevention and control knowledge among occupational population is relatively low, and it is necessary to strengthen publicity, education, and behavioral intervention.

Objective:To investigate the epidemic characteristics of human brucellosis and the awareness of brucellosis prevention and control knowledge among occupational populations in Xuzhou City, Jiangsu Province.Methods:The data of brucellosis cases reported from January to December 2023 in the China Disease Prevention and Control Information System's Infectious Disease Surveillance System where the current residence was Xuzhou City, were collected. The epidemiological distribution characteristics across the three dimensions (time, region, and population) were analyzed, and the etiological characteristics of Brucella strains collected from sentinel hospitals in Xuzhou City during the same period were analyzed. Meanwhile, in September 2023, a survey was conducted on the awareness of brucellosis prevention and control knowledge among occupational populations in 7 counties (cities, districts) with a high incidence of brucellosis in Xuzhou City. Binary logistic regression was used to analyze the influencing factors. Results:In 2023, a total of 124 human brucellosis cases were reported in Xuzhou City, with an annual incidence rate of 1.37/100 000. Brucellosis occurred in all months of the year, with a peak incidence from May to August, accounting for 46.77% (58/124). The incidence rate of brucellosis in Feng County, Pei County, Suining County, Xinyi City and Pizhou City (1.86/100 000) was higher than that in Gulou District, Yunlong District, Quanshan District, Jiawang District and Tongshan District (0.71/100 000), with a statistically significant difference (χ 2 = 19.15, P < 0.001). Among 124 cases of brucellosis, 81 cases (65.32%) were males and 43 cases (34.68%) were females. The incidence rate of brucellosis in males (1.78/100 000) was higher than that in females (0.96/100 000), with a statistically significant difference (χ 2 = 11.08, P < 0.001). The 55 - 64 age group reported a relatively higher number of cases (45 cases, 36.29%), with an incidence rate of 3.97/100 000. The main occupation was farmers (85 cases, 68.55%). In 2023, a total of 9 strains of Brucella were collected from the sentinel hospitals in Xuzhou City, all of which were Brucella melitensis, mainly classified as biotype 3 (7/9). In 2023, a total of 984 occupational population with brucellosis were surveyed in Xuzhou City, and the overall awareness rate of brucellosis prevention and control knowledge was 3.25% (32/984). By binary logistic regression analysis, the awareness rates of brucellosis prevention and control knowledge among veterinarians and those with high school or vocational school education, college education or above were relatively high [ OR (95% CI): 21.24 (1.52 - 297.74), 13.32 (3.48 - 50.96), 18.90 (3.68 - 97.13), P < 0.05]. Conclusions:In 2023, the incidence rate of human brucellosis in Xuzhou City is at a relatively high level, with men, middle-aged and elderly people, and farmers as the main population. The awareness rate of brucellosis prevention and control knowledge among occupational population is relatively low, and it is necessary to strengthen publicity, education, and behavioral intervention.

Objective To explore the potential mechanism of Erchen decoction in the treatment of obese polycystic ovary syndrome and obese infertility, in order to provide theoretical basis for “treating different diseases with same method”. Methods The active ingredients and targets of Erchen decoction were obtained from TCMSP database, and the targets of obese polycystic ovary syndromes and obese infertility were obtained from GeneCard database. Active ingredient-target network was constructed by Cytoscape 3.7.1, and protein-protein interaction network and core target were obtained from STRING. GO and KEGG enrichment analysis were performed by Cytoscape 3.7.1 and online software. Results 125 ingredients and 218 targets of Erchen decoction were obtained. There were 2 783 target genes for obese infertility and 2 962 target genes for obese polycystic ovary syndrome. Erchen decoction has a total of 117 target genes in the treatment of obese infertility and obese polycystic ovary syndromes, which proves the principle of “treating different diseases with same method”. Potential active ingredients include quercetin, kaempferol, naringin, baicalin and formononetin. PPI showed that STAT3, JUN, AKT1, MAPK3, MAPK1, MAPK14, IL-6 and FOS were the core targets of “treating different diseases with same method”. Molecular docking results showed that quercetin, kaempferol, etc. had good binding ability with JUN. GO and KEGG enrichment analysis showed that AGE-RAGE signaling pathway, IL-17 signaling pathway and endocrine resistance might be the key pathways for the “treating different diseases with same method” of Erchen decoction. Conclusion Erchen decoction treating "different diseases with same method" involves same targets and same pathways, which can provide reference for future experimental research.

Objective To explore the potential mechanism of Qingkailing (QKL) on influenza, and to provide a theoretical basis for the clinical application of QKL. Methods TCMSP, TCMID, and PubChem databases were used to search for the active ingredients and action targets of QKL. GeneCards database was used to search for the targets of influenza. The intersection method was used to obtain the targets related to the therapeutic effects of QKL. Cytoscape software was applied for the construction of active compounds-targets network map. Protein-protein interaction network was constructed by STRING database. Gene ontology functional enrichment analysis and KEGG pathway enrichment analysis were conducted by Bioconductor database and R software. Auto Dock Tools were used for molecular docking. Results Total 90 potential active components were identified from QKL with the corresponding 225 targets. PPI network analysis showed that there were 34 key targets intervening influenza by QKL. GO and KEGG showed that the mechanism of QKL intervention on influenza was related to anti-inflammatory and antiviral. The results of molecular docking showed that cholic acid, hyodeoxycholic acid and baicalin had affinity with RELA and JUN. Conclusion The active ingredients of QKL target on JUN, RELA, MAPK1, IL6 and AKT1 to regulate multiple signal pathways, and play an intervention role in influenza.

Objective To explore the molecular targets and related potential pathways of Jinzhen oral liquid in the treatment of coronavirus disease 2019 (COVID-19). Methods The potential blood-entry active ingredients and targets of Jinzhen oral liquid were retrieved by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). COVID-19 related gene targets were retrieved through GeneCard. Protein-protein interaction network of common targets was constructed by String. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway analysis of the intersection network were conducted by Bioconductor Database. Results 141 active ingredients were screened according to oral bioavailability and drug similarity. 350 target genes directly related to COVID-19 were obtained from the GeneCard. 47 genes were obtained from the intersection of component-target and disease-target. These genes were mainly involved in response to lipopolysaccharide, oxidative stress and other biological processes. Molecular functions were mainly related to cytokine receptor binding, cytokine activity, receptor ligand activity, etc. The active ingredients were related to IL-17 signaling pathway, TNF and Influenza A signaling pathway, etc. Conclusion The possible active compounds of Jinzhen oral liquid could be anti-viral and anti-inflammatory that could have potential therapeutic effect against virus infection, lung injury and inflammation caused by SARS-CoV-2.