ObjectiveTo analyze the epidemiological characteristics and clinical symptoms of severe fever with thrombocytopenia syndrome (SFTS) cases in Xianju County, Zhejiang Province from 2017 to 2024, and to provide a scientific basis for prevention and control measures to reduce the incidence and mortality. MethodsSFTS cases reported in Xianju County from 2017 to 2024 were collected from the China Information System for Disease Prevention and Control. Case-related data were obtained through epidemiological investigations and medical record reviews. Data were organized and analyzed using WPS 2019 and SPSS 22.0, spatial maps were generated with ArcGIS 10.2, and multivariate logistic regression analyses were employed to explore the factors associated with mortality in SFTS cases. ResultsFrom 2017 to 2024, a total of 36 SFTS cases were reported in Xianju County, with an incidence rate of 1.15/100 000 and a case fatality rate of 27.78% (10/36). The majority of cases occurred in individuals aged 60 years old and above (55.56%, 20/36), with farmers being the most affected occupational group (86.11%, 31/36). The highest number of reported cases occurred in June and July. The local tick density was relatively high (1.25 ticks per host, 340/271). Multivariate logistic regression analyses indicated that thrombocytopenia was a related factor for patient mortality. ConclusionXianju County is an area with high incidence and case fatality rate of SFTS. It is essential to strengthen public awareness campaigns, emphasizing personal protection during outdoor activities to reduce infections and lower the incidence rate. In addition, comprehensive control measures such as environmental cleanup and pesticide application should be taken to reduce tick density. Local medical institutions should enhance professional training to improve diagnostic and report sensitivity for SFTS. Early symptomatic treatment should be prioritized for elderly patients and severe thrombocytopenia cases to reduce the case fatality rate.

Stroke is one of the common cerebrovascular diseases,which can be classified into acute(0-24 h),subacute(24 h-2 weeks)and chronic stage(>2 weeks).High-resolution T1-weighted imaging(T1WI)is one kind of magnetic resonance imaging(MRI)technique,which is main imaging mode of assessing the change of cerebral structure after stroke at chronic stage,and it can accurately judge the location and size of lesion.The precise segmentation for lesion is we accurately analyze dataset of neuroimaging in stroke with large scale,and is the key of predicting rehabilitation outcomes.The automatic segmentation algorithm is one kind of technique that can automatically segment data into many independent regions or object by specific regulation or model,which does not need manual intervention.Compared with manual segmentation,it has repeatable and scalable advantages,which does not need manual setting parameter.With the development of artificial intelligence technology,its application is gradually widespread in the field of medical imaging analysis.Adopting automatic segmentation algorithm to conduct reliable and repeatable segmentation for the lesions in T1WI,which can effectively assist clinical diagnosis and rehabilitation treatment for stroke.This review summarized the advance research of automatic segmentation algorithm based on T1WI for the lesion of chronic stroke from two aspects included conventional machine learning and deep learning,and the optimization approach of three kinds of algorithm structures,which can provide reference and inspiration for researching small lesion with higher difficulty in the field of automatic segmentation.

Stroke is one of the common cerebrovascular diseases,which can be classified into acute(0-24 h),subacute(24 h-2 weeks)and chronic stage(>2 weeks).High-resolution T1-weighted imaging(T1WI)is one kind of magnetic resonance imaging(MRI)technique,which is main imaging mode of assessing the change of cerebral structure after stroke at chronic stage,and it can accurately judge the location and size of lesion.The precise segmentation for lesion is we accurately analyze dataset of neuroimaging in stroke with large scale,and is the key of predicting rehabilitation outcomes.The automatic segmentation algorithm is one kind of technique that can automatically segment data into many independent regions or object by specific regulation or model,which does not need manual intervention.Compared with manual segmentation,it has repeatable and scalable advantages,which does not need manual setting parameter.With the development of artificial intelligence technology,its application is gradually widespread in the field of medical imaging analysis.Adopting automatic segmentation algorithm to conduct reliable and repeatable segmentation for the lesions in T1WI,which can effectively assist clinical diagnosis and rehabilitation treatment for stroke.This review summarized the advance research of automatic segmentation algorithm based on T1WI for the lesion of chronic stroke from two aspects included conventional machine learning and deep learning,and the optimization approach of three kinds of algorithm structures,which can provide reference and inspiration for researching small lesion with higher difficulty in the field of automatic segmentation.

Objective To construct an accurate clinical model of lower limb varicose veins in rats through surgery that provides theoretical support for evaluating drug therapy.Methods 30 SD rats,15 males and 15 females,were randomly divided into a control group and surgical group.In the surgical group,the rats lower limb veins(including the small saphenous vein and femoral vein)were ligated via improved lower limb vein ligation,i.e.,the small saphenous vein was completely ligated with the femoral vein,and the thrombosis result ed in a lasting increase in the internal pressure of the deep veins of the lower limb,causing varicose symptoms.On the 6th week after surgery,the varicose veins of the rats in the surgical group were scored to select those that were successfully modeled.Then,the successfully modeled rats were randomly divided into a model group and Maizhiling group.Maizhiling 62.5 mg/kg was orally administered to the treatment group once a day,while the control and model group received an equal volume of physiological saline orally every day for 20 consecutive days.On the day before administration and 7 d,14 d and 20 d after administration,macro photography and scoring were performed on the lower limbs of the rats.After completion,an approximately 1 cm long saphenous vein above the ankle joint of the lower limb on the surgical side was removed from the model group and Maizhiling group rats,while from the control group,the corresponding saphenous vein of the lower limb on the same side was removed.Pathological tissue observation was performed using HE staining,Masson staining,and immunohistochemical examination for interleukin-2(IL-2)and tissue inhibitor of metalloproteinases(TIMP-1).Results Of the 22 rats in the surgical group,20 were successfully modeled,with a success rate of 91％.According to the manifestations of venous dilation,varicose veins,and redness in the lower limbs of rats,the varicose vein score of the model group increased significantly compared with that of the control group(P＜0.01).After the therapeutic dose of Maizhiling was administered,the varicose vein score in the Maizhiling group decreased significantly compared with that of the model group(P＜0.01).Pathological examination showed significant varicose-vein-like changes and mild inflammation in the model group.The Maizhiling group showed reduced varicose veins and inflammation.Conclusions A rat model of lower limb varicose veins was successfully established,providing a new research method for the study of drugs and treatment method related to lower limb varicose diseases.

Objective To construct an accurate clinical model of lower limb varicose veins in rats through surgery that provides theoretical support for evaluating drug therapy.Methods 30 SD rats,15 males and 15 females,were randomly divided into a control group and surgical group.In the surgical group,the rats lower limb veins(including the small saphenous vein and femoral vein)were ligated via improved lower limb vein ligation,i.e.,the small saphenous vein was completely ligated with the femoral vein,and the thrombosis result ed in a lasting increase in the internal pressure of the deep veins of the lower limb,causing varicose symptoms.On the 6th week after surgery,the varicose veins of the rats in the surgical group were scored to select those that were successfully modeled.Then,the successfully modeled rats were randomly divided into a model group and Maizhiling group.Maizhiling 62.5 mg/kg was orally administered to the treatment group once a day,while the control and model group received an equal volume of physiological saline orally every day for 20 consecutive days.On the day before administration and 7 d,14 d and 20 d after administration,macro photography and scoring were performed on the lower limbs of the rats.After completion,an approximately 1 cm long saphenous vein above the ankle joint of the lower limb on the surgical side was removed from the model group and Maizhiling group rats,while from the control group,the corresponding saphenous vein of the lower limb on the same side was removed.Pathological tissue observation was performed using HE staining,Masson staining,and immunohistochemical examination for interleukin-2(IL-2)and tissue inhibitor of metalloproteinases(TIMP-1).Results Of the 22 rats in the surgical group,20 were successfully modeled,with a success rate of 91％.According to the manifestations of venous dilation,varicose veins,and redness in the lower limbs of rats,the varicose vein score of the model group increased significantly compared with that of the control group(P＜0.01).After the therapeutic dose of Maizhiling was administered,the varicose vein score in the Maizhiling group decreased significantly compared with that of the model group(P＜0.01).Pathological examination showed significant varicose-vein-like changes and mild inflammation in the model group.The Maizhiling group showed reduced varicose veins and inflammation.Conclusions A rat model of lower limb varicose veins was successfully established,providing a new research method for the study of drugs and treatment method related to lower limb varicose diseases.

LIN28 is an RNA binding protein with important roles in early embryo development, stem cell differentiation/reprogramming, tumorigenesis and metabolism. Previous studies have focused mainly on its role in the cytosol where it interacts with Let-7 microRNA precursors or mRNAs, and few have addressed LIN28's role within the nucleus. Here, we show that LIN28 displays dynamic temporal and spatial expression during murine embryo development. Maternal LIN28 expression drops upon exit from the 2-cell stage, and zygotic LIN28 protein is induced at the forming nucleolus during 4-cell to blastocyst stage development, to become dominantly expressed in the cytosol after implantation. In cultured pluripotent stem cells (PSCs), loss of LIN28 led to nucleolar stress and activation of a 2-cell/4-cell-like transcriptional program characterized by the expression of endogenous retrovirus genes. Mechanistically, LIN28 binds to small nucleolar RNAs and rRNA to maintain nucleolar integrity, and its loss leads to nucleolar phase separation defects, ribosomal stress and activation of P53 which in turn binds to and activates 2C transcription factor Dux. LIN28 also resides in a complex containing the nucleolar factor Nucleolin (NCL) and the transcriptional repressor TRIM28, and LIN28 loss leads to reduced occupancy of the NCL/TRIM28 complex on the Dux and rDNA loci, and thus de-repressed Dux and reduced rRNA expression. Lin28 knockout cells with nucleolar stress are more likely to assume a slowly cycling, translationally inert and anabolically inactive state, which is a part of previously unappreciated 2C-like transcriptional program. These findings elucidate novel roles for nucleolar LIN28 in PSCs, and a new mechanism linking 2C program and nucleolar functions in PSCs and early embryo development.
Animals ; Cell Differentiation ; Embryo, Mammalian/metabolism* ; Embryonic Development ; Mice ; Pluripotent Stem Cells/metabolism* ; RNA, Messenger/genetics* ; RNA, Ribosomal ; RNA-Binding Proteins/metabolism* ; Transcription Factors/metabolism* ; Zygote/metabolism*

Objective:To examine the survival status and explore factors related to death among human immunodeficiency virus （HIV） infected patients receiving antiretroviral therapy （ART） in Taizhou City during 2006‒2019. Methods:A retrospective cohort study was conducted to analyze the data on HIV-infected patients receiving ART in Taizhou during 2006‒2019. Kaplan-Meier （K-M） method was used to calculate the cumulative survival rate and cumulative treatment success rate. Cox regression model was used to determine survival status and factors associated with ART. Results:A total of 2 904 HIV-infected patients was included. The cumulative survival rate after 1， 3， 5， and 8 years of ART were 96.9%， 94.9%， 93.1% and 92.1%， respectively， and the cumulative treatment response rate were 91.3%， 85.3%， 81.8% and 73.8%， respectively. Compared with aged 18-30 years old， baseline CD4⁺T cell >350 count/μL， normal hemoglobin level， effective ART， no clinical symptom at baseline， and homosexual transmission， we found that aged 51-60 years old（HR=4.94，95%CI：1.66-14.69）， aged over 60 years old（HR=9.14，95%CI：3.14-26.63）， anemia at baseline（HR=2.24，95%CI：1.55-3.23）， baseline CD4⁺T cell <200 count/μL（HR=4.35，95%CI：2.14-8.86）， ART failure （HR=3.90，95%CI：2.73-5.58）， heterosexual transmission（HR=1.92，95%CI：1.15-3.20）， and signs of symptom at baseline（HR=1.68，95%CI：1.16-2.41） were risk factors of HIV-related death. Conclusion:The effect of ART in Taizhou City is confirmed with a high cumulative survival rate and treatment success. We should pay additional attention to senior HIV-infected patients with anemia at baseline and intensively monitor the effect of ART. Interventions such as “treat after discover” are supposed to be implemented more widely to further reduce HIV-related mortality.