The new era imposes heightened demands on medical professionals,who must not only possess a solid theoretical foundation but also exhibit strong practical skills and innovative capabilities.The quality of medical func-tional laboratory construction is crucial for cultivating high-caliber medical talents.In light of the current developmental status and trends regarding functional experiment teaching within Chinese higher education institutions,particularly the disparities in development across various regions and institutions,the Functional Experiment Teaching Committee of the Chinese Pathophysiology Society has developed an expert consensus on laboratory construction standards.This consensus was established through comprehensive investigations,research,and extensive discussions to provide a reference for di-verse institutions to continuously enhance their levels of laboratory construction.

Objective To investigate the predictive value of atherosclerotic index of plasma(AIP)for the risk of coronary heart disease(CHD)in patients with nonalcoholic fatty liver disease(NAFLD).Methods A retrospective analysis was conducted in 299 patients with NAFLD.Based on presence or absence of CHD,the patients were divided into NAFLD with CHD group(n=177)and NAFLD group(n=122).Clinical data were collected from both groups,and AIP was calculat-ed.Multivariate Logistic regression analysis was performed to explore the independent risk factors for CHD in patients with NAFLD.Receiver operating characteristic(ROC)curves were plotted to evalu-ate the predictive value of AIP for the risk of CHD in patients with NAFLD.Results The NAFLD with CHD group had a higher proportion of males,smokers,and higher levels of alanine aminotrans-ferase(ALT),aspartate aminotransferase(AST),fasting plasma glucose(FPG),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),γ-glutamyltransferase(GGT),uric acid(UA),and AIP than the NAFLD group.The NAFLD with CHD group also had lower levels of high-density lipoprotein cholesterol(HDL-C)than the NAFLD group(P＜0.05).Multivariate Logistic regression analysis revealed that males(OR=2.548,95％CI,1.402 to 4.632,P=0.002),high levels of AST(OR=1.038,95％CI,1.002 to 1.077,P=0.041),high levels of LDL-C(OR=1.811,95％CI,1.242 to 2.640,P=0.002),and high AIP(OR=16.117,95％CI,1.874 to 138.609,P=0.011)were independent risk factors for CHD in patients with NAFLD(P＜0.05).ROC curve analysis showed that AIP had an area under the curve of 0.746(95％CI,0.688 to 0.804)for pre-dicting CHD in patients with NAFLD,with a sensitivity of 76.3％and a specificity of 73.0％.Conclusion AIP is an independent influencing factor for CHD in patients with NAFLD and has certain predictive value for the risk of CHD in these patients.

The new era imposes heightened demands on medical professionals,who must not only possess a solid theoretical foundation but also exhibit strong practical skills and innovative capabilities.The quality of medical func-tional laboratory construction is crucial for cultivating high-caliber medical talents.In light of the current developmental status and trends regarding functional experiment teaching within Chinese higher education institutions,particularly the disparities in development across various regions and institutions,the Functional Experiment Teaching Committee of the Chinese Pathophysiology Society has developed an expert consensus on laboratory construction standards.This consensus was established through comprehensive investigations,research,and extensive discussions to provide a reference for di-verse institutions to continuously enhance their levels of laboratory construction.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

To report the first case of cutaneous chronic active Epstein-Barr virus disease manifesting as persistent erythema multiforme in China. The 12-year-old female patient presented with recurrent erythema and blisters all over the body, accompanied by oral erosions for more than 5 months. Skin examination showed dark erythema scattered on the right upper eyelid and cheeks, as well as erosions and blisters arising in the dark erythema on the lower jaw; broad bean- to pigeon egg-sized blisters with clear fluids arising in erythema were scattered on the back, buttocks, and limbs, and some manifested as atypical targetoid lesions; there was a mung bean-sized erosion on the mucosa of the lower lip and the right buccal region each; the patient also presented with moon face and multiple striae atrophicae on the lower limbs. Histopathological examination of the skin lesions on the lower limb revealed basket-weave hyperkeratosis, epidermal necrosis, liquefaction degeneration of basal cells with subepidermal blister formation, and perivascular lymphocytic infiltration in the superficial dermis; direct immunofluorescence assay showed negative staining for IgG, IgM, IgA, and complement C3 among epidermal cells and at the basement membrane zone; enzyme-linked immunosorbent assay showed negative staining for serum antibodies against desmoglein 1/3 (Dsg1/3), BP180, and type Ⅶ collagen; immunohistochemical examination demonstrated partial positive staining for CD3, CD4, CD5, CD8, CD56, granzyme B, and Epstein-Barr virus-encoded RNA, positive staining for Ki67 (> 70%), but negative staining for CD20. The Epstein-Barr virus DNA level was measured to be 1.97 × 10 6 IU/ml in whole blood samples and 2.65 × 10 7 IU/ml in blister fluid samples. No mutation sites with functional significance were identified by whole-exome sequencing. Based on these findings, a diagnosis of cutaneous chronic active Epstein-Barr virus disease manifesting as persistent erythema multiforme was made. The patient was treated with methylprednisolone at a dose of 40 mg/d, intravenous drips of ganciclovir at 200 mg twice daily, etc., and discharged after improvement.

ObjectiveTo investigate the possible mechanism of Buzhong Yulin Decoction （补中愈淋汤） in the prevention and treatment of recurrent urinary tract infection. MethodsThe mouse models of recurrent urinary tract infection were established by uropathogenic Escherichia coli （UPEC） strain UTI89 by bladder perfusion， and the successful mouse models were randomly divided into a model group， an antibiotic group， and a low- and high-dose Buzhong Yulin Decoction group， with six mice in each group. In addition， 5 C57BL/6 mice without modelling were taken as blank group. The low- and high-dose Buzhong Yulin Decoction groups received 0.1 ml/10 g of decoction by gavage， with concentrations of 1.3 g/ml and 5.2 g/ml， respectively； the antibiotic group received 0.1 ml/10 g of levofloxacin hydrochloride solution with 5 mg/ml by gavage； the blank and model groups received 0.1 ml/10 g of distilled water by gavage. Each group was gavaged once a day for 7 consecutive days. The total number of urine marks， the number of central urine marks， and the total urine volume of the urine marks were observed by the urine marking test； HE staining was used to observe the histopathological changes in the bladder of mice； serum levels of the inflammatory factors interleukin 1β （IL-1β）， interleukin 6 （IL-6） and tumour necrosis factor α （TNF-α） were detected by ELISA； the morphology of the epithelial cells of bladder was observed by scanning electron microscopy； immunofluorescence assay to detect bladder tissue anti-UroPlakin 3A protein level and UPEC bacterial load； the spread plate method to detect urinary bacterial load and bacterial load of bladder epithelial cells； RT-PCR method to detect Ras-related protein Rab-11A （RAB11A） and Ras-related protein Rab-27B （RAB27B） mRNA level in bladder tissue； immunoblotting to detect microtubule-associated protein 1 light chain3 （LC3） and P62 protein levels in bladder tissue. ResultsCompared with the blank group， the bladder epithelial cell layers were lost and showed abnormal morphology in mice of the model group； bladder tissue UroPlakin 3A protein and RAB11A and RAB27B mRNA levels reduced， the total number of urine marks， the number of central urine marks， bladder tissue UPEC bacterial load， urinary bacterial load， bacterial load in bladder epithelial cells， serum IL-1β， IL-6， and TNF-α levels， and LC3 and P62 protein levels in bladder tissue all elevated （P＜0.05 or P＜0.01）. Compared with the model group， the bladder epithelial cell layers were intact and the morphology of epithelial cells were regular in the low- and high-dose Buzhong Yulin Decoction groups； the average surface area of bladder epithelial cells reduced， the levels of UroPlakin 3A protein and RAB11A and RAB27B mRNA in bladder tissues elevated， and total number of urine marks， the number of central urine marks， bladder tissue UPEC bacterial load， urinary bacterial load， bacterial load in bladder epithelial cells， serum IL-1β， IL-6， and TNF-α levels， and P62 protein levels in bladder tissue all reduced （P＜0.05 or P＜0.01）， but LC3 protein levels showed no statistically significant （P＞0.05）. In the antibiotic group， the bladder epithelial cells were partially missing and the morphology of epithelial cells was abnormal. Compared with the antibiotic group， the average surface area of the bladder epithelial cells in the mice increased in the low- and high-dose Buzhong Yulin Decoction groups， the bacterial load of the bladder epithelial cells decreased， and the P62 protein level of the bladder tissue decreased （P＜0.05）. When comparing between the low- and high-dose Buzhong Yulin Decoction groups， the differences in each index were not statistically significant （P＞0.05）. ConclusionBuzhong Yulin Decoction may prevent and treat recurrent urinary tract infection by repairing the bladder mucosal barrier， increasing RAB11A and RAB27B level and enhancing autophagy in bladder tissues， thereby facilitating bacterial clearance from bladder epithelial cells and reducing the bacterial load of bladder epithelial cells.

Objective To investigate the therapeutic effect of Yudantong decoction in mice with α-naphthyl isothiocyanate (ANIT)-induced cholestasis, as well as its targets and mechanism based on intestinal flora and intestinal barrier function. Methods A total of 24 C57BL/6 mice were randomly divided into control group, model group, Yudantong decoction group (YDTF group), and ursodeoxycholic acid (UDCA) group, with 6 mice in each group. The mice in the model group, the YDTF group, and the UDCA group were given ANIT 35 mg/kg/day by gavage on days 1, 4, 7, 10, and 13, and those in the YDTF group and the UDCA group were given Yudantong decoction or UDCA by gavage for 15 consecutive days; related samples were collected on day 16. Liver histopathology was observed, and liver function parameters were measured; immunohistochemistry was used to measure the protein expression levels of caspase-1, interleukin-1β (IL-1β), and FXR in the liver, and flow cytometry was used to measure the percentages of CD11b + , CD86 + , and CD45 + immune cells in the liver; 16S rDNA sequencing and information analysis were performed for fecal microorganisms; immunohistochemistry was used to measure the protein expression of the intestinal FXR/NLRP3 pathway, and immunofluorescence assay was used to measure the protein expression of intestinal E-cadherin and occludin. A one-way analysis of variance was used for comparison of continuous data with homogeneity of variance between multiple groups, and the least significant difference t -test was used for further comparison between two groups; the Welch test was used for comparison of data with heterogeneity of variance between multiple groups, and the Games-Howell test was used for further comparison between two groups. Results HE staining showed that the model group had partial hepatocyte fatty degeneration, massive necrosis of hepatocytes in hepatic lobules, damage of lobular structure, and massive inflammatory cell infiltration, and the YDTF group and the UDCA group had alleviation of hepatocyte fatty degeneration and hepatocyte necrosis in hepatic lobules, with a reduction in inflammatory cells. Compared with the control group, the model group had significantly higher serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transpeptidase (GGT), alkaline phosphatase (ALP), total bilirubin (TBil), direct bilirubin (DBil), and total bile acid (TBA) (all P < 0.05); compared with the model group, the YDTF group had significant reductions in the serum levels of ALT, AST, GGT, ALP, TBil, DBil, and TBA (all P < 0.05), and the UDCA group had significant reductions in the serum levels of GGT, TBil, DBil, and TBA (all P < 0.05). Compared with the control group, the model group had significant increases in the levels of caspase-1 and IL-1β and a significant reduction in the expression of FXR in the liver (all P < 0.05); compared with the model group, the YDTF group had significant reductions in the levels of caspase-1 and IL-1β in the liver and the UDCA group had a significant reduction in the level of IL-1β in the liver, and both the YDTF group and the UDCA group had a significant increase in the expression level of FXR in the liver (all P < 0.05). The model group had a significant change in the composition of intestinal flora compared with the control group ( P < 0.05); there was a significant difference in the structure of intestinal flora between the YDTF group and the model group ( P < 0.05), and there was also a significant difference in the composition of intestinal flora between the UDCA group and the control/model groups ( P < 0.05). Compared with the control group, the model group had a significant increase in the abundance of intestinal Akkermansia muciniphila and a significant reduction in the abundance of Lactobacillus johnsonii (both P < 0.05); compared with the model group, both the YDTF group and the UDCA group had a significant reduction in the abundance of intestinal Akkermansia muciniphila , and the YDTF group had a significant increase in the abundance of Lactobacillus murinus , while the UDCA group had significant increases in the abundance of Lactobacillus murinus and Bifidobacterium pseudolongum (all P < 0.05). Compared with the control group, the model group had a significant reduction in the protein expression of intestinal FXR, a significant increase in the protein expression of intestinal NLRP3, and significant reductions in the expression of intestinal E-cadherin and occludin (all P < 0.05); compared with the model group, both the YDTF group and the UDCA group had a significant increase in the protein expression of intestinal FXR, a significant reduction in the protein expression of intestinal NLRP3, and significant increases in the expression of intestinal E-cadherin and occludin (all P < 0.05). Conclusion Yudantong decoction can alleviate liver injury in mice with ANIT-induced cholestasis, possibly by improving intestinal flora and enhancing intestinal barrier function.