Objective To investigate the prevalence of common diseases among primary and secondary school students in Yichang City from 2019 to 2022, and to provide a scientific basis for formulating effective intervention measures in the future. Methods By random cluster sampling , 7 schools in urban areas and 5 schools in suburban counties were selected to screen common diseases such as myopia, dental caries, obesity and abnormal spinal curvature. Descriptive epidemiological methods were employed for statistical analysis. Results A total of 17 023 primary and secondary school students were screened from 2019 to 2022. The overall detection rate of common diseases from high to low was myopia (54.12%), caries (36.75%), overweight (15.17%), obesity (11.88%), malnutrition (5.80%), and abnormal spinal curvature (3.49%). The detection rates of myopia and abnormal curvature of the spine showed an increasing trend with years and school stages, while the detection rates of malnutrition and dental caries showed a decreasing trend with years and school stages. The detection rates of overweight and obesity showed no trend difference with years, and the detection rates of obesity showed a decreasing trend with school stages. The rates of myopia, overweight and obesity were higher in urban areas than those in suburban counties, and the rate of dental caries was higher in suburban counties than that in urban areas. The prevalence of overweight, obesity, and malnutrition in boys was higher than that in girls. The prevalence of myopia and dental caries in girls was higher than that in boys. The above differences were statistically significant (all P<0.05). Conclusion Myopia, dental caries, obesity, and abnormal curvature of the spine are the current focus of the prevention and treatment of common diseases in students. There are great differences between different regions, school stages, and genders. The ^“tripartite linkage^” of schools, families, and communities should be achieved with the joint efforts of the education and health departments to actively take targeted intervention measures to reduce the prevalence.

Aim To explore the mechanism of the effect of rosiglitazone(Rsg)on the pancreatic cancer in diabetic mice based on the impact of PPARγ on glu-cose transport and metabolism.Methods A high-fat and high sugar diet combined with STZ was used to construct T2DM model;T2DM mice and normal mice were subcutaneously injected with PANC02 cells to construct a transplanted tumor model.T2DM trans-planted tumor mice and normal transplanted tumor mice were divided into the following groups:Rsg,PPARy inhibitor(PIN-2),rosiglitazone+PPARγ in-hibitor(Rsg+PIN-2),and normal transplanted tumor mice(NDM)and T2DM transplanted tumor mice(DM)were used as control groups,respectively.Tis-sue samples were collected after intervention.Tissue pathological changes were observed by HE staining.The expressions of Ki67 and PCNA proteins were de-tected by immunohistochemistry.Cell apoptosis was detected by TUNEL assay.The expression of PPARγwas detected by immunofluorescence.The expressions of Glucokinase,GLUT2,Nkx6.1,PDX-1RT-PCR were determined by Western blot.Results Rsg could significantly reduce the tumor mass,pathological chan-ges,Ki67 and PCNA expression of transplanted tumors(P＜0.05),increase cell apoptosis and the expression of PPARγ,Glucokinase,GLUT2,Nkx6.1,PDX-1 proteins in NDM and DM mice(P＜0.05).PIN-2 could reverse the indicator changes caused by Rsg in NDM and DM mice.However,compared with NDM mice,the above related indicators of the DM group mice were more sensitive to Rsg and PIN-2.Conclu-sions Compared to non-diabetic pancreatic cancer,rosiglitazone can more sensitively inhibit the prolifera-tion of pancreatic cancer with T2DM,induce apopto-sis,and reprogram the metabolism of pancreatic cancer with T2DM by activating PPA Rγ and altering the ex-pression of glucose and lipid metabolism genes,there-by exerting an anti-cancer effect.

Here,5 important pathogens carried by ticks in Maanshan City,Anhui Province,China were identified.In to-tal,642 ticks were collected from 13 villages around Maanshan City and identified by morphological and mitochondrial COI genes.The 16S rRNA gene of Francisella tularensis,ssrA gene of Bartonella,16S rRNA,ompA and ompB genes of Rickett-sia,16S rRNA and gltA genes of Anaplasma,and groEL and rpoB genes of Coxiella were sequenced.Reference sequences were retrieved from a public database.Phylogenetic trees were constructed with MEG A1 1.0 software.In total,36 Rickettsiae isolates were detected in 640 Haemaphysalis longicornis ticks,which included 20 isolates of Rickettsia heilongjian-gensis,16 of Candidatus Rickettsia jingxinensis,2 of Ana-plasma bovis,and 186 of Coxiella-like endosymbiont.R.hei-longjiangensis HY2 detected in this study and Anhui B8 strain,Ca.R.jingxinensis QL3 and those from Shanxi Prov-ince and Jiangsu Province,A.bovis JX4 and those from Shanxi Province were clustered on the same branch.Overall,17 ticks had combined infections and none of the 5 bacteria were detected in two Amblyomma testudinarium ticks.This is the first report of Ca.R.jingxinensis detected in H.longicornis ticks from Anhui Province.It is recommended that the two types of Rickettsia that cause spotted fever and A.bovis should be reported to local health authorities to initiate appropriate prevention and control measures.

Objective:To investigate the role of levofloxacin combined with recombinant human granulocyte colony-stimulating factor(G-CSF)or only G-CSF supportive therapy in preventing infection in autologous hematopoietic stem cell transplantation(ASCT),and to analyze the length of hospital stay,hospitalization cost and post-transplant survival of the patients.Methods:A retrospective analysis was performed in the patients with hematological malignancies who accepted ASCT at our hospital from January 2012 to July 2022,the febrile neutropenia,the incidence of bacterial infection and the use rate of intravenous antibiotics in the levofloxacin+G-CSF group and only G-CSF support group during ASCT were observed.The length of hospital stay,total cost during hospitalization and survival after 90 days of transplantation between the two groups were compared.Results:A total of 102 cases were included in this study,including 57 cases of multiple myeloma,36 cases of acute leukaemia,7 cases of lymphoma,3 cases of myelodysplastic syndrome,1 case of light chain amyloidosis,and 1 case of POEMS syndrome.47 patients received levofloxacin+G-CSF antibacterial prophylaxis,and 55 patients received G-CSF supportive therapy.In the levofloxacin+G-CSF group,40 cases(85.11％)developed febrile neutropenia,and 13 cases(27.66％)were confirmed as bacterial infection.In the G-CSF group,44 cases(80.00％)developed febrile neutropenia,and 16 cases(29.09％)were bacterial infection.There was no statistically significant difference in the incidence of febrile neutropenia and bacterial infection between the two groups(x2=0.46,P=0.50;x2=0.03,P=0.87).The use rate of intravenous antibiotics in the levofloxacin+G-CSF group was 85.11％(40/47),which was not statistically different from 85.45％(47/55)in the G-CSF group(X2=0.04,P=0.84).The detection rates of levofloxacin-resistant bacteria in the levofloxacin+G-CSF group and G-CSF group were 8.57％(3/35)and 21.43％(6/28),respectively,with no statistical difference(x2=0.65,P＞0.05).The median length and median cost of hospitalization in the levofloxacin+G-CSF group and G-CSF group were 25 d vs 22 d and 78 216.24 yuan vs 80 724.38 yuan,with no statistically significant differences(t=3.00,P=0.09;t=0.94,P=0.09).Within 90 days after transplantation,two cases(4.26％)died in the levofloxacin+G-CSF group and one case(1.82％)died in the G-CSF group,with no statistically significant difference between the two groups(x2=0.53,P=0.47).Conclusion:Application of levofloxacin+G-CSF showed no significant benefit compared to G-CSF support for the prevention of bacterial infections during ASCT.

Objective:To explore the genotypes and frequency distribution of thalassemia in Lingui District,Guilin City,and provide reference for the prevention and control of thalassemia in this area. Methods:The results of genetic testing for thalassemia in 1501 suspected cases at the Second Affiliated Hospital of Guilin Medical University were analyzed retrospectively. The deletional mutations of α-thalassemia were detected by gap-PCR,the non-deletional mutations of α-thalassemia and β-thalassemia mutations were detected by PCR-reverse dot blot (PCR-RDB). Results:In 1501 samples,a total of 678 cases of thalassemia carriers were detected,with a detection rate of 45.17％. Among them,379 cases were α-thalassemia (including deletional α-thalassemia and non-deletional α-thalassemia),with a detection rate of 25.25％,the most common genotype was--SEA/αα (227 cases,15.12％),followed by-α3.7/αα (53 cases,3.53％). 270 cases of β-thalassemia were detected,with a detction rate of 17.99％,and βCD41-42/βN (144 cases,9.59％) was the main genotypes,followed by βCD17/βN (66 cases,4.40％) . In addition,there were 29 cases of αβ compound thalassemia,accounting for 1.93％,and the most common genotype was--SEA/αα complex βCD41-42/βN (5 cases,0.33％). Conclusion:Lingui District in Guilin City is a high-incidence area of thalassemia,and the genotypes of carriers are complex and diverse,with genetic heterogeneity. The results of this study provide a scientific basis for genetic counseling and prenatal diagnosis in this area.

Objective:To investigate the effect of integrin αvβ6 on lipid metabolism in colon cancer cells;to identify potential metabolic biomarkers for the diagnosis of colon cancer.Meth-ods:Liquid chromatography-mass spectrometry(LC-MS)-based lipidomic analysis was utilized to investigate the effects of αvβ6 on the changes in SW480 metabolism in colon cancer cell lines.The partial least squares discriminant analysis model showed different lipid profiles in Integrin αvβ6 over-expressed or low-expressed SW480.Results:After Integrin αvβ6 overexpression,a total of 252 lipids showed significant differences in SW480 cells,of which 138 showed up-regulation and 114 showed down-regulation.Moreover,the Methyl phosphatidylcholine(MePC),phosphatidyl-choline(PC),phosphatidylethanolamine(PE)and triglycerides(TG)were also found to have good diagnostic potential in αvβ6 overexpressing cancer cells.Conclusion:Integrin αvβ6 may promote cancer cell invasivness and metastasis by regulating pathways of dysregulated lipid metabolism.These results may provide potential clues to the molecular mechanisms of Integrin αvβ6 on colon cancer cells.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective To observe clinical and imaging findings of Kaposiform hemangioendothelioma(KHE)involved bone.Methods Data of 10 children with KHE involved bone diagnosed by surgery or biopsy pathology who underwent X-ray and non-contrast CT examination of the lesion site were retrospectively analyzed,among them 3 received enhanced CT and 9 received non-contrast MR examination.Clinical and imaging findings were observed,and the lesions were classified into type Ⅰ(confined to only bone)and type Ⅱ(involved both bone and surrounding soft tissue)according to CT findings.Results Single bone involvement was detected in 7 cases(7/10,70.00％),while multiple bone involvements were noticed in 3 cases(3/10,30.00％).CT type Ⅰ and Ⅱ were identified each in 5 cases.The median age of onset was 88.0 months,and the median course of disease was 4.0 months in type Ⅰ,all involved single bone,and the main clinical manifestations were pain but without Kasabach-Merritt phenomenon(KMP).The median age of onset was 5.0 months and the median course of disease was 1.0 months in type Ⅱ,including 3(3/5,60.00％)cases of multiple bone involvements,with swelling and limited movement of the lesion site,and KMP was observed in 2 cases(2/5,40.00％).X-ray shown most of the lesions with uneven bone density(8/10,80.00％)or lamellar low density(1/10,10.00％),while no obvious abnormality was found in 1 case(1/10,10.00％).On non-contrast CT,all affected bones in 10 cases present as worm erosion or osteolytic bone destruction,which could be accompanied by peripheral bone hyperplasia and sclerosis(8/10,80.00％),while significantly enhancement occurred in 2 cases with type Ⅱ lesion(2/3)on enhanced CT,while no obvious enhancement was found in 1 case with type Ⅰ lesion(1/3).Soft tissue involvement presented in 5 cases(5/10,50.00％),with borderless diffuse slightly low-density,including 2 cases of lesions significantly enhanced after enhancement.Non-contrast MRI showed that the affected bone presented equal T1 or slightly lower T1,mixed T2 or slightly higher T2 signal,while the affected soft tissue were found with equal T1 and slightly higher T2 signal.Conclusion Clinical and imaging findings of KHE involved bone had certain characteristics.