ObjectiveTo investigate the mechanism of Xiezhuo Jiedu prescription in the treatment of ulcerative colitis （UC） by inhibiting ferroptosis and alleviating intestinal mucosal injury based on the nuclear factor E₂ related factor 2/solute carrier family 7 member/glutathione peroxidase 4 （Nrf2/SLC7A11/GPX4） signaling pathway. MethodsA total of 60 male SD rats were divided into a normal group， a model group， high- and low-dose Xiezhuo Jiedu prescription groups （26.64 and 13.32 g·kg^-1， respectively）， a ferroptosis inhibitor group （Ferrostatin-1， 0.005 g·kg^-1）， and a mesalazine group （0.27 g·kg^-1）， with 10 rats in each group. A UC rat model was established by intrarectal administration of trinitrobenzene sulfonic acid （TNBS）-ethanol. The normal group and the model group were intragastrically administered normal saline. The other groups were given intragastric administration according to the corresponding dosage for 7 d. The general condition， disease activity index （DAI） score， colon length， and mucosal injury index （CDMI） score were observed in each group. The pathological changes of colon tissue in each group were observed by hematoxylin-eosin （HE） staining. The intestinal mucosa and mitochondrial morphology in each group were observed by transmission electron microscopy. The expression levels of Occludin， Claudin-1， mucin 2 （MUC2）， and E-cadherin in intestinal tissue were detected by immunofluorescence （IF）. Enzyme-linked immunosorbent assay （ELISA） was used to detect the expression levels of serum tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-10 （IL-10） in each group， and a lactic acid assay kit or ELISA was employed to detect the expression levels of reactive oxygen species （ROS）， ferrous ions （Fe²⁺）， glutathione （GSH）， malondialdehyde （MDA）， 4-hydroxynonenal （4-HNE）， diamine oxidase （DAO）， and D-lactate （D-LA）. Real-time quantitative polymerase chain reaction （Real-time PCR） was applied to detect the mRNA expression levels of Nrf2， SLC7A11， GPX4， Occludin， Claudin-1， MUC2， and E-cadherin in each group， and Western blot was adopted to detect the protein expression levels of Nrf2， p-Nrf2， SLC7A11， and GPX4 in each group. ResultsCompared with the normal group， rats in the model group exhibited listlessness， sluggish response， and mucopurulent and bloody stools. The model group also showed significantly increased DAI score， colon length， CDMI score， and expression levels of TNF-α， IL-6， ROS， Fe²⁺， MDA， 4-HNE， DAO， and D-LA （P<0.01）. In addition， it presented significantly decreased IF values of Occludin， Claudin-1， MUC2， and E-cadherin and mRNA and protein expression levels of IL-10， GSH， Nrf2， p-Nrf2， SLC7A11， and GPX4 （P<0.01）. There were different degrees of improvement in each administration group after treatment， and the improvement was the most significant in the high-dose Xiezhuo Jiedu prescription group （P<0.01）. ConclusionXiezhuo Jiedu prescription may alleviate intestinal mucosal injury by inhibiting ferroptosis of intestinal epithelial cells via regulating the Nrf2/SLC7A11/GPX4 signaling pathway， thereby exhibiting efficacy in the treatment of UC.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Objective:To investigate the optical coherence tomography (OCT) imaging features of bullous pemphigoid (BP) and pemphigus.Methods:A total of 23 patients with BP and 18 with pemphigus diagnosed according to clinical manifestations, histopathological and immunological features were collected from Wuhan No.1 Hospital from January to June 2024. OCT imaging was performed in 41 patients to observe the blisters at the lesion sites and their anatomic locations (intraepidermal or subepidermal), intravesicular inflammatory cells and fibrin deposits, dilated vessels in the upper dermis, as well as skin adjacent to the lesions.Results:Among the 23 patients with BP and 18 patients with pemphigus (including 12 with pemphigus vulgaris and 6 with pemphigus foliaceus), there were 20 males and 21 females, and their ages at onset ranged from 20 to 89 years. OCT imaging of blisters in patients with BP showed subepidermal oval to round hyporeflective liquid-filled areas containing highly refractive inflammatory cells and fibrin deposits, with dilated vessels in the upper dermis, while OCT imaging of blisters in patients with pemphigus showed intraepidermal blisters with a few inflammatory cells; the OCT imaging features of both BP and pemphigus were similar to their corresponding histopathological features. The detection rates of intravesicular inflammatory cells and fibrin deposition were significantly higher in the patients with BP (82.61% [19/23], 60.87% [14/23], respectively) than in those with pemphigus (44.44% [8/18], 11.11% [2/18]; χ2 = 6.54, 10.51, P = 0.011, 0.001, respectively). In the OCT images of normal skin adjacent to blisters, subclinical fissures were detected in 17.39% (8/46) of patients with BP and 25.00% (9/36) of patients with pemphigus. Conclusion:OCT imaging could accurately locate the blisters and potential subclinical lesions in normal skin adjacent to blisters in patients with BP and pemphigus, which is helpful for the early auxiliary diagnosis of these two diseases.

Metering unit is important component of medical service items and also serve as significant bases for scientifically estimating the costs of medical services.National Technical Specification of Medical Service Items(2023 Edition)has set up elements such as"metering unit"and"adjustment coefficient for resource consumption in special circumstances",which clearly stipulate the metering units of each medical service item and the multiples for discretionary increases or decreases in the overall resource consumption when special circumstances occur.These two elements are important references for the cost accounting in medical institutions.The project team has elaborated on the definitions,establishment principles and special circumstances of these two types of elements,namely"metering units"and"adjustment coefficient for resource consumption in special circumstances",providing references for the application of relevant governments and healthcare institutions.

As an important indicator to assess the revenue structure of hospitals,healthcare service revenue can truly reflect the labor value of medical personnel.A unified financial classification is the premise of accurate calculation of revenue structure.Meeting the needs of financial management of medical institutions through mapping with current healthcare service items in various regions,Financial Classification of Medical Service Items has unified the financial classification from the aspects of bill classification,accounting subject and expense classification in medical record.

The assignment of the"item code"element in National Technical Specification of Medical Service Items(Version 2023)continues the classification framework and coding rules of National Specification of Medical Service Price Items(Version 2012).The project team experts are members of the WHO-Family of International Classifications(WHO-FIC)China Classification,Terminology and Standards Collaborating Center.The design concept of project coding is the same as that of the International Classification of Health Interventions(ICHI).Both adopt an alphanumeric characters hybrid coding classification method based on multi-axis classification,clarified the definition and scope of these four key classification axis which including anatomy system,anatomical site,surgical procedure and surgical approach,and optimize and update item property,sub-classifications and coding.Unified medical service item code can make contribution to the comparability of statistics related to health care items across regions,promote cross-regional healthcare and healthcare insurance settlement at the national level;improve its refined management level in hospital,and play an important role in performance management and data statistical analysis.

Objective To explore causal relationship between 25-hydroxyvitamin D[25(OH)D]and ankylosing spondylitis(AS).Methods Genetic data of 25(OH)D and AS were extracted from the genome-wide association study.The causal effect of 25(OH)D on AS was estimated by MR-Egger regression method,weighted median,inverse variance weighted(IVW),simple mode and weighted mode,and sensitivity analysis was conducted for verification.Results The IVW results indicated that there was a causal relationship between 25(OH)D concentration and AS(OR=0.805,95％CI:0.686-0.944,P=0.008),and the maximum likelihood ratio(OR=0.799,95％CI:0.678-0.940,P=0.007)showed consistent results.The IVW results of the reverse Mendelian randomization study showed that there was no causal relationship between the two(OR=1.019,95％CI:0.995-1.043,P=0.110).In addition,MR-Egger intercept,Cochran Q test,"leave-one-out"and MR-PRESSO analysis showed no horizontal pleipotency or heterogeneity.Conclusion There may be a genetic causal relationship between the concentration of 25(OH)D and the onset of AS.AS cannot cause changes in the concentration of 25(OH)D in the body.

Objective To investigate the relationship between sleep disorders and coronary heart disease through big data combined with Mendelian randomization analysis.Methods Data from 2005 to 2018 National Health and Nutrition Examination Survey in the United States were utilized.Logistic regression analysis was employed to evaluate the association between sleep disorders and coronary heart disease,while analyzing relevant influencing factors.A two-sample Mendelian randomization approach was implemented using Genome-Wide Association Studies to establish causal relationships.Results Logistic regression analysis demonstrated a significant association between sleep disorders and coronary heart disease(P＜0.001),with the neutrophil-to-lymphocyte ratio serving as a mediating factor in this relationship(P＜0.001).Mendelian randomization analysis revealed a positive correlation between sleep disorders and coronary heart disease(OR=1.030,95％CI:1.01-1.04).Conclusion Sleep disorders can increase the risk of coronary heart disease by activating inflammatory factors.

Objective:To prepare 89Zr-labeled anti-human podoplanin (PDPN) monoclonal antibody SZ168 and evaluate its feasibility for melanoma immunoPET imaging. Methods:89Zr-desferrioxamine (DFO)-SZ168 was prepared by conjugating p-isothiocyanatobenzyl (SCN-Bn)-DFO with SZ168 and chelating with 89Zr. Quality control analyses were conducted, including labeling rate, radiochemical purity, and in vitro stability. Melanoma mouse models were created, with experimental group ( n=3) and control group ( n=3) receiving tail vein injections of 89Zr-DFO-SZ168 and 89Zr-DFO-immunoglobulin (Ig)G solutions (3.7MBq) respectively. The experimental group underwent microPET/CT imaging at 12, 24, 48 and 72h post-injection, while the control group underwent imaging at 48h post-injection. Tumor and organ radioactivity uptake was analyzed using the ROI method. Mice were sacrificed at 7d post-injection to assess the ex vivo biodistribution of 89Zr-DFO-SZ168 and 89Zr-DFO-IgG. Independent-sample t test was used to analyze the data. Results:The pH value of the 89Zr-DFO-SZ168 solution was approximately 7.0, with a labeling rate >60%, radiochemical purity >95% after PD10 column purification, and good stability after 72h in vitro. Series microPET/CT imagings showed significant tumor visualization in tumor-bearing mice. Radioactivity uptake in tumors peaked at 48h post-injection, while the tumor was not clearly detected by 89Zr-DFO-IgG microPET/CT imaging. Ex vivo biodistribution indicated that 89Zr-DFO-SZ168 mainly accumulated in tumors, liver, and bones, with tumor uptake significantly higher than that of 89Zr-DFO-IgG ((29.36±7.29) percentage activity of injection dose per gram of tissue (%ID/g) vs (8.78±1.63) %ID/g; t=4.77, P=0.009). Immunohistochemistry of tumor specimens showed high expression of PDPN in tumor tissues. Conclusions:The probe 89Zr-DFO-SZ168 is successfully prepared, showing potential for specific molecular imaging diagnosis of melanoma. This lays a basis for developing PDPN molecular target-based immuno-PET diagnosis and integrated diagnosis and treatment for melanoma.