The risk prediction approach integrating disease and syndrome aligns more precisely with the clinical diagnosis and treatment needs of osteoporosis.Prior research has established a consensus on the model development methodology encompassing"Target outcome selection→ Key information collection→ Data mining and modeling →Model performance evaluation".Building on this foundation,a cohort of osteoporosis patients and syndrome cases with stable follow-up is established.Utilizing artificial intelligence algorithms,critical information in traditional Chinese medicine(TCM)symptoms and syndromes is objectively characterized and quantified alongside imaging data.Employing multi-omics sequencing technology,we seek to identify highly specific microscopic molecular information,analyze potential correlations among various dimensions of information,and develop a multidimensional risk prediction model for osteoporosis with distinctive TCM attributes.This model aims to identify biomarkers with both"disease"and"syndrome"characteristics,thereby advancing the precision diagnosis and treatment system for osteoporosis.

ObjectiveTo dynamically observe the clinical symptoms and pathological changes in a rat model of vinorelbine-induced phlebitis via injection into the dorsalis pedis vein. MethodsTwenty-eight 11-week-old male SPF-grade SD rats were randomly divided into a model group (n=20) and a control group (n=8). The model group received a single injection of 0.1 mL vinorelbine solution (4 mg/mL) via the right hind limb dorsalis pedis vein, while the control group received an equal volume of normal saline via the same method. The occurrence and grading of phlebitis in both groups were observed and recorded daily. The volume of the injured limb was measured by the drainage method to calculate the swelling rate. The weight-bearing ratio of the injured limb was assessed using a bipedal balance pain meter, and the skin temperature of the injured limb was measured by infrared thermal imaging. These measurements were conducted for 9 consecutive days. Starting from day 1, three rats from the model group were euthanized every other day. A 1-cm segment of the vein extending proximally from the injection site was collected. Pathological changes in the vein tissue were examined by hematoxylin-eosin staining, and ultrastructural changes of the vascular endothelium were observed using scanning electron microscopy. ResultsCompared to the control group, the injected hindlimb of model rats showed redness and swelling on day 1, with the swelling rate peaking at (81.89±15.75) % on day 3 (P<0.001), then gradually alleviating and decreasing to (15.41±0.33) % by day 9 (P<0.01). Pain was observed in the affected limbs of model rats on day 1 and worsened markedly on day 3, with the weight-bearing ratio decreasing to (36.35±4.91)% (P<0.001). Meanwhile, the skin temperature of the lesion site increased, reaching (36.36±0.40) ℃ on day 5 (P<0.001). Both pain and fever returned to near normal levels by day 9. Phlebitis grading in the model group showed that 75.0% of rats were grade Ⅱ on day 1; grade Ⅲ and Ⅳ each accounted for 37.5% on day 3; from days 5 to 9, most rats exhibited cord-like veins, predominantly grade III. Venous tissue showed peripheral edema and inflammatory cell infiltration on day 1, which gradually progressed to intimal rupture, vessel wall thickening, and even lumen narrowing from day 3 to 9. The venous intima exhibited destruction of tight junctions between endothelial cells and adhesion of blood cells, progressing to roughened, wrinkled, and protruding intimal surfaces. ConclusionThe vinorelbine-induced phlebitis of dorsal foot vein in rat model is characterized by local redness, swelling, warmth, and pain from days 3 to 5, which largely resolve by day 9, although cord-like veins can still be observed. With disease progression, venous tissue develops edema, vessel wall thickening, and lumen narrowing. The venous intima shows rupture, roughening, and in some cases, complete loss.

ObjectiveTo dynamically observe the clinical symptoms and pathological changes in a rat model of vinorelbine-induced phlebitis via injection into the dorsalis pedis vein. MethodsTwenty-eight 11-week-old male SPF-grade SD rats were randomly divided into a model group (n=20) and a control group (n=8). The model group received a single injection of 0.1 mL vinorelbine solution (4 mg/mL) via the right hind limb dorsalis pedis vein, while the control group received an equal volume of normal saline via the same method. The occurrence and grading of phlebitis in both groups were observed and recorded daily. The volume of the injured limb was measured by the drainage method to calculate the swelling rate. The weight-bearing ratio of the injured limb was assessed using a bipedal balance pain meter, and the skin temperature of the injured limb was measured by infrared thermal imaging. These measurements were conducted for 9 consecutive days. Starting from day 1, three rats from the model group were euthanized every other day. A 1-cm segment of the vein extending proximally from the injection site was collected. Pathological changes in the vein tissue were examined by hematoxylin-eosin staining, and ultrastructural changes of the vascular endothelium were observed using scanning electron microscopy. ResultsCompared to the control group, the injected hindlimb of model rats showed redness and swelling on day 1, with the swelling rate peaking at (81.89±15.75) % on day 3 (P<0.001), then gradually alleviating and decreasing to (15.41±0.33) % by day 9 (P<0.01). Pain was observed in the affected limbs of model rats on day 1 and worsened markedly on day 3, with the weight-bearing ratio decreasing to (36.35±4.91)% (P<0.001). Meanwhile, the skin temperature of the lesion site increased, reaching (36.36±0.40) ℃ on day 5 (P<0.001). Both pain and fever returned to near normal levels by day 9. Phlebitis grading in the model group showed that 75.0% of rats were grade Ⅱ on day 1; grade Ⅲ and Ⅳ each accounted for 37.5% on day 3; from days 5 to 9, most rats exhibited cord-like veins, predominantly grade III. Venous tissue showed peripheral edema and inflammatory cell infiltration on day 1, which gradually progressed to intimal rupture, vessel wall thickening, and even lumen narrowing from day 3 to 9. The venous intima exhibited destruction of tight junctions between endothelial cells and adhesion of blood cells, progressing to roughened, wrinkled, and protruding intimal surfaces. ConclusionThe vinorelbine-induced phlebitis of dorsal foot vein in rat model is characterized by local redness, swelling, warmth, and pain from days 3 to 5, which largely resolve by day 9, although cord-like veins can still be observed. With disease progression, venous tissue develops edema, vessel wall thickening, and lumen narrowing. The venous intima shows rupture, roughening, and in some cases, complete loss.

Objective:To analyze the molecular characteristics of the virus in a local outbreak of dengue fever in Jiangsu province in 2023, and to provide a basis for the prevention and control of the outbreak.Methods:Serum samples were collected from suspected dengue patients in the acute phase of the outbreak for virus detection and serotyping by real-time fluorescence quantitative RT-PCR (RT-qPCR). Positive specimens were amplified with full-length genomic fragments and subjected to second-generation sequencing and related evolutionary analyses.Results:Four confirmed cases of dengue were found in Changzhou city, Jiangsu province, from October 18 to 21, 2023, with epidemiological association between the cases, which was recognized as a dengue outbreak. The serum RT-qPCR result of the four cases were all dengue type 1, and the whole genome sequences of three of the cases were obtained. The evolutionary tree of the E gene and the whole genome showed that the three sequences were located in the 3rd branch of the 1-I genotype, which is similar to the genotype 1-I. The genome-wide sequences of the E gene and the genome-wide evolution tree showed that the three sequences were located in the 3rd branch of the 1-I genotype, which is similar to the genome-wide genotype 1-Ⅰ. The E gene and the genome-wide evolutionary tree showed that all three sequences were located on branch 3 of genotype 1-Ⅰ, with high sequence similarity to the dengue virus epidemic strains in Guangdong and Yunnan provinces in 2023. Amino acid variant site analysis showed that there were 16 branch-specific amino acid site changes in the sequences of the three cases, among which the structural proteins, C protein and prM protein, had one variant site each, E protein had two, and the non-structural proteins had the largest number of NS5 variant sites (9).Conclusions:The local outbreak in Jiangsu was caused by dengue fever type 1 virus, with high nucleotide sequence similarity to strains from other regions of China, and amino acid site alterations.

The risk prediction approach integrating disease and syndrome aligns more precisely with the clinical diagnosis and treatment needs of osteoporosis.Prior research has established a consensus on the model development methodology encompassing"Target outcome selection→ Key information collection→ Data mining and modeling →Model performance evaluation".Building on this foundation,a cohort of osteoporosis patients and syndrome cases with stable follow-up is established.Utilizing artificial intelligence algorithms,critical information in traditional Chinese medicine(TCM)symptoms and syndromes is objectively characterized and quantified alongside imaging data.Employing multi-omics sequencing technology,we seek to identify highly specific microscopic molecular information,analyze potential correlations among various dimensions of information,and develop a multidimensional risk prediction model for osteoporosis with distinctive TCM attributes.This model aims to identify biomarkers with both"disease"and"syndrome"characteristics,thereby advancing the precision diagnosis and treatment system for osteoporosis.

Objective:To analyze the molecular characteristics of the virus in a local outbreak of dengue fever in Jiangsu province in 2023, and to provide a basis for the prevention and control of the outbreak.Methods:Serum samples were collected from suspected dengue patients in the acute phase of the outbreak for virus detection and serotyping by real-time fluorescence quantitative RT-PCR (RT-qPCR). Positive specimens were amplified with full-length genomic fragments and subjected to second-generation sequencing and related evolutionary analyses.Results:Four confirmed cases of dengue were found in Changzhou city, Jiangsu province, from October 18 to 21, 2023, with epidemiological association between the cases, which was recognized as a dengue outbreak. The serum RT-qPCR result of the four cases were all dengue type 1, and the whole genome sequences of three of the cases were obtained. The evolutionary tree of the E gene and the whole genome showed that the three sequences were located in the 3rd branch of the 1-I genotype, which is similar to the genotype 1-I. The genome-wide sequences of the E gene and the genome-wide evolution tree showed that the three sequences were located in the 3rd branch of the 1-I genotype, which is similar to the genome-wide genotype 1-Ⅰ. The E gene and the genome-wide evolutionary tree showed that all three sequences were located on branch 3 of genotype 1-Ⅰ, with high sequence similarity to the dengue virus epidemic strains in Guangdong and Yunnan provinces in 2023. Amino acid variant site analysis showed that there were 16 branch-specific amino acid site changes in the sequences of the three cases, among which the structural proteins, C protein and prM protein, had one variant site each, E protein had two, and the non-structural proteins had the largest number of NS5 variant sites (9).Conclusions:The local outbreak in Jiangsu was caused by dengue fever type 1 virus, with high nucleotide sequence similarity to strains from other regions of China, and amino acid site alterations.

A three-dimensional(3D)medical image segmentation network(CA-SegResNet)which incorporates a 3D coordinate attention mechanism is proposed to address the issue of segmenting identified vertebral bones from spinal computed tomography(CT)images.The network extracts image features through a deep residual convolutional neural network and fuses the feature maps from each encoder layer with the input of the corresponding decoder layer.Subsequently,a 3D coordinate attention module is introduced to capture inter-channel relationships as well as directional and positional information,establishing long-range dependencies across different spatial directions,thereby enabling precise segmentation of the identified vertebral bones.For the segmentation tasks involving the identified cervical vertebra(the 7th cervical vertebra)and the identified thoracic vertebra(the 12th thoracic vertebra)across 105 cases,CA-SegResNet achieves average Dice similarity coefficients(DSC)of 0.934 5 and 0.918 9 on the test set,with average Hausdorff distances(HD)of 7 and 8 mm.Compared with U-Net results,the average DSC is improved by 0.014 5 and 0.0463,while average HD is reduced by 176 and 388 mm.The results demonstrate that the network can realize the precise segmentation of identified vertebral bones from CT images.

Objective:To explore the application effect of the "combination of virtuality and actuality" practical teaching on Medical Imaging Equipment. Methods:The 2018 medical imaging technology students of Qiqihar Medical University were taken as the observation group, and the study adopted teaching method of "combination of virtuality and reality" in the practical teaching of Medical Imaging Equipment, including in-kind visit teaching (8 learning hours), experimental box circuit measurement teaching (20 learning hours) and virtual simulation teaching (16 learning hours). Besides, the 2017 medical imaging major students (control group) did not conduct virtual simulation teaching. The teaching effect and student achievement were compared between the two groups, and SPSS 17.0 was used to conduct t test and chi-square test. Results:There was significantly improvement in the practical performance of the students in the observation group compared with the control group ( t=6.44, P=0.007); the teaching satisfaction of the two groups was significantly improved ( χ2=5.25, P=0.022), and the teaching satisfaction degree was 100%. Conclusion:The teaching method of "combination of virtuality and reality" can effectively improve students' hands-on ability, strengthens their cognition of abstract principles, and solves the problems of equipment failure analysis, disassembly and installation of large-scale equipment that cannot be completed in physical teaching.

Objective:To carry out genetic analysis for 3 children from two Chinese families affected with maple syrup urine disease (MSUD).Methods:Target capture - next-generation sequencing and Sanger sequencing were used to detect pathogenic variants associated with MSUD.Results:The proband from family 1 was found to harbor homozygous c. 560G>T (p.Gly187Val) variant of the BCKDHB gene (NM_000056), whilst the two patients from family 2 were found to harbor compound heterozygous variants c. 197-2A>G (splicing)/c.218delT (p.F74Sfs*4) of the BCKDHB gene. Among these, the c. 560G>T and c. 218delT variants were unreported previously. Conclusion:The new variants discovered in this study have expanded the mutational spectrum of the BCKDHB gene.

Objective: Analyze the clinical application rule of Chinese patent medicine in cervical radiculopathy (CR) .Method: The clinical real-world data of CR were extracted by using information sharing system of traditional Chinese medicine and clinical research. Six hundred and twenty-eight inpatients and out patients with CR were enrolled from December 2012 to July 2014 in the information system database of Wangjing Hospital. The correlation analyses and mutual information value were recorded for Chinese patent medicine therapy application of all patients by using liquorice software. Complex network diagrams were generated. Result: Yuxuebi capsule and Jingshu granule is the highest frequency in application of Chinese patent medicine. Jingshu granule and Cobamamide for injection were the highest frequency in combined application of Chinese patent medicine and western medicine. Association frequency was 822, mutual information value was 268.07. Biqi capsule and Daiwenjiu cream were the highest frequency in combined application of Chinese patent medicine and topical drugs. Association frequency was 384, mutual information value was1754.76. Conclusion: The basic treating principle for CR was promoting blood circulation and removing blood stasis. The efficacy and safety of combined Chinese patent medicine with other medicine need further research