Objective To investigate the species of ticks in Suizhou City, Hubei Province, so as to provide insights into management of ticks and tick-borne diseases. Methods During the period between May 2023 and June 2024, livestock breeding farms and vegetation neighboring the place of residence of confirmed and suspected patients with tick-borne disease were selected as sampling points in rural areas from Yindian Township, Gaocheng Township, Wanhe Township, Wushan Township, Xiaolin Township, Xihe Township, Hedian Township and Beijiao Street in Suizhou City, Hubei Province, where confirmed and suspected cases with tick-borne diseases had been reported. The parasitic ticks on the body surface of free-range livestock were captured with tweezers in livestock breeding farms, and free ticks on the vegetation surface were captured with the flagging method. Morphological identification of tick samples was performed under a microscope, and the gender and developmental stage of ticks were determined. One engorged adult tick, 2 to 3 blood-feeding but non-engorged adult ticks, 10 to 15 unfed female ticks, 15 to 20 unfed male ticks, and 30 to 40 tick nymphs or larvae were assigned into a group, respectively. Genomic DNA was extracted from tick samples in each group, and mitochondrial 16S rRNA gene was amplified. Sequence analysis was performed with the DNASTAR software, and phylogenetic analysis was performed using the software MEGA 7.0. In addition, the phylogenetic tree was generated using the maximum likelihood method based on the Kimura 2 parameter model. Results A total of 2 438 ticks were captured from Suizhou City, Hubei Province during the period between May 2023 and June 2024, including 595 free ticks and 1 483 parasitic ticks. Three developmental stages of ticks were captured, including larvae, nymphs, and adults, and 75.18% (1 899/2 438) of captured ticks were adult, in which 79.04% (1 501/1 899) were female. Morphological and molecular biological assays identified one family, three genera and four species of captured ticks, including 2 425 Haemaphysalis longicornis ticks (99.47%) and one H. flava tick (0.04%) of the genus Haemaphysalis, 11 Rhipicephalus microplus ticks (0.45%) of the genus Rhipicephalus, and one Ixodes sinensis tick (0.04%) of the genus Ixodes in the family Ixodidae. Phylogenetic analysis revealed that the H. longicornis sequence (SZ49) in this study was clustered with sequences from Yunnan Province (GenBank accession number: MH024510.1), Hebei Province (GenBank accession number: MK450606.1) and Henan Province (GenBank accession number: MZ230645.1) into a clade, and the H. flava sequence (SZ19) in this study was clustered with sequences from Japan (GenBank accession number: MW064044.1), South Korea (GenBank accession number: ON629585.1), and Jiangsu Province (GenBank accession number: PP494741.1) and Hebei Province of China (GenBank accession number: MH520685.1) into a clade, while the R. microplus sequence (SZ8) in this study was clustered with the sequences from India (GenBank accession number: MK621328.1), and Henan Province (GenBank accession number: MT555307.1) and Guizhou Province of China (GenBank accession number: PP446801.1) into a clade. The sequence of I. sinensis (SZ23) in this study had 99.51% homology with that (GenBank accession number: OM368265.1) of ticks sampled from Wuhan City, Hubei Province. Conclusion There are four tick species of H. longicornis, H. flava, R. microplus and I. sinensis in Suizhou City, Hubei Province, and H. longicornis is the dominant species. H. flava is firstly recorded in Suizhou City.

Purpose/Significance To propose data governance and fusion technologies for different business application scenarios for the fusion of multi-source and multi-dimensional big data with complex sources and diverse standards.Method/Process Taking the practice of multi-source and multi-dimensional big data fusion in responding to major public health emergencies as an example,the pa-per focuses on the challenges faced by multi-source and multi-dimensional big data fusion,the design of the application architecture,technology integration,the implementation path,the application scenarios,etc.,and analyzes the application effect and the deficiencies that exist.Result/Conclusion Through the design of intelligent multi-source and multi-dimensional big data fusion technology,real-time monitoring,reading,governance,and interactive correlation of high-frequency updates at 100 billion levels are realized,and intel-ligent paths are explored for effectively responding to public emergencies.

At present, diabetes mellitus has become an increasingly serious disease which affects public health in the word. Clinical treatment of diabetes is mainly based on oral hypoglycemic drugs, insulin injections and lifestyle interventions (diet and exercise) . The new intervention method targeting intestinal microflora opens up new ideas for diabetes treatment. This article reviews the application of new intestinal microbial therapy (probiotic treatment, oral prebiotics/synbiotics, fecal microbiota transplantation) and treatment by regulating intestinal microflora (bariatric surgery, antibiotic therapy and traditional Chinese medicine) in diabetes. This article also summarized the nursing intervention based on intestinal microbial therapy so as to improve the understanding of the relationship between intestinal microflora and diabetes, and provide a reference for treatment and nursing care for type 2 diabetes.

Objective To investigate the association between serum 25(OH)D3 and high sensitive C -reac-tive protein (hs-CRP),tumor necrosis factor -alpha (TNF-α),interleukin-6 (IL-6) inflammatory markers in non-obese patients with type 2 diabetes mellitus (T2DM).Methods From June 2015 to September 2015,in this cross-sectional study,120 non-obese patients with T2DM(female in 58 cases,male in 62 cases) in Taiyuan Central Hospital were selected as T2DM group,and 120 non-obese patients with T2DM and 96 healthy subjects ( control group) were recruited.The serum concentrations of glucose,HbA1c,insulin,25( OH) D3 and inflammatory markers including TNF-α,IL-6 and hs-CRP were measured.A homeostatic model of insulin resistance (HOMA-IR) was also evaluated.The clinical and biochemical characteristics of T 2DM were observed in the group of vitamin D deficien-cy group,vitamin D insufficiency group and vitamin D normal group.And the relativities were analyzed between it with hs-CRP,TNF-α,IL-6,HOMA-IR,INF,FBG,BMI,WHR,and so on.The relativities were observed between 25(OH)D3 with all the factors.Results The mean serum concentration of 25(OH)D3 in the non -obese T2DM group was (10.65 ±3.55)ng/mL,which was significantly lower than (18.44 ±5.21)ng/mL in the normal control group (t＝-6.84,P ＝0.012).The levels of serum TNF -αand IL -6 in the T2DM group were (15.51 ± 4.87)ng/L and (18.12 ±4.13) ng/L,respectively,which were significantly higher than those in the control group [(8.99 ±2.54)ng/L,(8.89 ±2.07)ng/L](t＝7.95,10.04,P＝0.017,0.007).The proportions of deficiency,insufficiency and normal of vitamin D in T2DM patients were 60.83%,31.67%and 7.50%,respectively .The levels of TNF-αand IL-6 in the serum 25(OH) D3 deficiency group were significantly higher than those in the normal 25(OH)D3 group [(17.93 ±4.94)ng/L vs.(10.30 ±4.52)ng/L,F＝6.897,P＝0.026;(20.14 ±4.99)ng/L vs. (16.39 ±5.06)ng/L,F＝10.589,P＝0.017].There was a significant correlation between serum 25(OH)D3 and HOMA-IR(r＝-0.041;P＝0.030),TNF-α(r＝-0.229;P＝0.040) and IL -6 levels (r＝-0.299;P＝0.032),but there was no significant correlation with inflammatory factor hs -CRP and fasting blood glucose. Conclusion Vitamin D deficiency is common in patients with T2DM,and systemic chronic inflammation may also play an important role in the pathogenesis of T 2DM.This study shows that vitamin D may play an important role in the pathogenesis of insulin resistance and chronic systemic inflammatory response,an important pathogenesis of T2DM.

In order to study T-bet function in mouse cells, a novel retroviral vector expressing mouse T-bet and reporter gene Thy1.1 was constructed. Retrovirus particles were then produced by transfection of the recombinant retroviral plasmid into a packaging cell line Platinum-E. The recombinant retrovirus played considerable infection ability. T-bet expression was then identified by FACS after infection of CD4+ primary T cells from T-bet knockout mouse with recombinant retrovirus. To determine if exogenous expressing T-bet has normal function, we checked the expression level of T-bet target gene, Ifng. IFN-y expression was upregulated in the T-bet knockout T cells infected with recombinant retrovirus. In conclusion, we successfully constructed an effective mouse T-bet recombinant retroviral vector.
Animals ; Cell Line ; Genetic Vectors ; Interferon-gamma ; metabolism ; Mice ; Mice, Knockout ; Recombinant Proteins ; biosynthesis ; Retroviridae ; T-Box Domain Proteins ; biosynthesis ; T-Lymphocytes ; metabolism ; Transfection