Objective: To investigate the protective effects and underlying mechanisms of sodium pyruvate (SP) on RBC storage lesions using an oxidative damage model. Methods: Six units of leukocyte-depleted suspended RBCs (discarded for non-infectious reasons within three days post-collection) were randomly assigned to four groups: negative control (NS), positive control (PS), experimental group 1 (SP1), and experimental group 2 (SP2). Oxidative stress was induced in the PS group by the addition of hydrogen peroxide (H O ), while SP1 and SP2 received SP supplementation at different concentrations (25 mM and 50 mM, respectively) in the presence of H O . After 1 hour of incubation, RBC morphology was assessed microscopically, and biochemical indicators including glutathione (GSH), malondialdehyde (MDA), methemoglobin (MetHb), adenosine triphosphate (ATP), and Na /K -ATPase activity were measured. Results: RBCs in the PS group exhibited pronounced morphological damage, including cell shrinkage and echinocyte formation, whereas both SP-treated groups showed significantly reduced structural injury. SP treatment led to elevated GSH levels and decreased concentrations of MDA and MetHb, suggesting attenuation of oxidative stress. Additionally, SP enhanced intracellular ATP levels and Na /K -ATPase activity, thereby contributing to membrane stability. Notably, the SP2 group (50 mM) demonstrated superior protective effects compared to SP1 (25 mM). Conclusion: Sodium pyruvate effectively attenuates oxidative storage lesions in RBCs, primarily through its antioxidant properties, energy metabolism supporting ability, and celluar membrane stabilizing function. These findings suggest SP as a promising additive for enhancing the quality and safety of stored RBCs.

Chronic atrophic gastritis （CAG），as a key stage of precancerous lesions of gastric cancer，has an increasing incidence year by year，and it can gradually develop into gastric invasive cancer and mucosal cancer. At present，the main treatment focuses on the eradication of Helicobacter pylori （Hp），drug therapy， and pathological follow-up by gastroscopy，which can alleviate some symptoms，but it is difficult to curb the pathological progress，and the recurrence rate is high. Phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway is involved in the regulation of cell growth，differentiation，proliferation，apoptosis，autophagy， and other responses，and abnormal activation of this pathway can promote the progression of precancerous lesions of CAG. Traditional Chinese medicine is effective in the treatment of precancerous lesions of CAG through multi-component and multi-target comprehensive regulation. By regulating the PI3K/Akt pathway，the active ingredients and compounds of traditional Chinese medicine play therapeutic roles，such as inhibiting inflammation，glycolysis，angiogenesis， and epithelium-mesenchymal transformation，promoting autophagy，and regulating the balance of cell proliferation and apoptosis. This paper systematically reviewed the mechanism of traditional Chinese medicine intervention in the PI3K/Akt pathway in the treatment of precancerous lesions of CAG，so as to provide references for further understanding of the pathogenesis of precancerous lesions of CAG and search for potential therapeutic targets，and it provided new ideas for further research and drug development of precancerous lesions of CAG.

Bispecific antibodies have shown significant efficacy in tumor therapy due to their dual targeting ability, but the complexity of their structure leads to the production of various process-related impurities such as host cell proteins, host cell DNA, and Protein A, and product-related impurities such as semi antibodies, 3/4 antibodies, homodimers, bispecific antibodies lacking one Fab arm, and aggregates during the manufacturing process. This paper systematically summarizes downstream purification strategies for dual antibodies, including affinity chromatography, deep filtration, hydroxyapatite chromatography, hydrophobic interaction chromatography, ion exchange chromatography, and multimodal chromatography, to efficiently remove various impurities and provide theoretical support for the purification of dual antibodies.

Objective: To investigate the clinical efficacy and safety of pudendal nerve modulation (PNM) in the treatment of female pudendal neuralgia (PN)，so as to promote the clinical application of this technique. Methods: A retrospective analysis was conducted on 20 female PN patients who failed conservative treatment at Gongli Hospital during Nov.2020 and Oct.2023.All patients underwent simultaneous PNM and sacral nerve modulation (SNM) with the assistance of 3D printing navigation.Dual-stage test electrodes for PNM and SNM were implanted，followed by alternate therapeutic trial for each modality.Secondary conversion rates and longitudinal outcomes，including visual analogue score (VAS)，patient health questionnaire-9 (PHQ-9)，and quality of life (QoL) scores were compared preoperatively，post-stage Ⅰ，and at 3，6，and 12 months post-stage Ⅱ. Results: All operations were successful.After the trial phase，the secondary conversion rate for PNM was significantly higher than that for SNM; 16 patients (16/20，80%) chose the second-phase PNM implantation surgery，3 (3/20，15%) chose second-phase SNM implantation，and 1 (1/20，5%) had electrodes removed due to ineffective results from both trials.Further assessment revealed that the improvements in VAS，PHQ-9，and QoL scores for PNM patients were significantly better than those for SNM patients after the first phase of surgery and at 3，6 and 12 months after the second-phase conversion (P<0.05).No complications such as electrode migration or infection were observed during the follow-up of 12-15 months. Conclusion: PNM provides more effective relief of pain symptoms and improvements in depressive states for female PN patients compared to SNM.With the assistance of 3D printing navigation，the operation is simple and safe，and offers stable therapeutic effects.It is worthy of clinical promotion and application.

ObjectiveTo perform a genome-wide association study of rubella virus vaccine strain BRD-Ⅱ, so as to fully grasp the sequence characteristics of this genome. MethodsSecond-generation sequencing method was used to conduct the whole-genome sequencing on the vaccine strain BRD-Ⅱ, and the affinity tree of this genome with some vaccine strains and wild-type rubella virus strains was analyzed using the maximum likelihood method. The average genetic distance of nucleic acid sequence of each vaccine strain protein was determined. And homology comparison of structural proteins of each rubella vaccine strain, plus the comparison between this genome with the AY258323.1 genome sequence, were conducted to analyze the homology of E1 protein between the wild-type rubella virus reference strain and vaccine strain BRD-Ⅱ. ResultsThe sequencing results showed that the BRD-Ⅱ strain was a single-molecule single-stranded positive-strand ribonucleic acid (RNA), composed of 9 778 nucleotides, with a GC content of 69.35 %. The C protein was composed of 300 amino acids, the E2 glycoprotein was composed of 282 amino acids, and the E1 glycoprotein was composed of 481 amino acids. The results of preliminary analysis showed that the average genetic distances of nucleic acid sequences were 0.066 700 for the P150 protein, 0.061 933 for the P90 protein, 0.057 850 for the C protein, 0.068 167 for the E2 protein, and 0.068 833 for the E1 protein, respectively. The amino acid sequences in the E2 protein and E1 protein regions of the two BRD-Ⅱ strains did not change, confirming the conserved regions of the E1 protein by comparison. ConclusionThe sequence characteristics of the genome are clarified, which have laid a broad foundation for the subsequent detection of the genetic stability of the main antigen genes.

Heart and spleen deficiency syndrome is the most common syndrome type in patients with insomnia. Based on the theory of disease syndrome-combined animal model， this paper used multiple databases to search for the keywords "heart and spleen deficiency"， "insomnia"， "sleepless"， "disease syndrome-combined animal model"， "model evaluation"， etc. It selected the literature related to the animal model of insomnia with heart and spleen deficiency in the past 20 years to evaluate from the aspects of model establishment， modeling factors， syndrome model， disease model， macro characterization & macro characterization evaluation scale， micro indicators， etc. It is found that the existing animal model of insomnia with heart and spleen deficiency is not completely constructed by the method of disease syndrome combination of disease modeling factors and syndrome modeling factors. In the model using this method， the single establishment factor of heart and spleen deficiency does not conform to the clinical reality of disease， and the selection of the factors for the insomnia model is not closely related to or even separated from the syndrome performance. There is a problem of insufficient quantification of macro representation when the macro representation of the model replaces the symptoms related to heart and spleen deficiency syndrome and insomnia in an equivalent manner for macro representation evaluation， which can be improved according to the quantitative ideas and examples of the existing macro representation and macro representation evaluation scale. There are few specific indicators of heart and spleen deficiency syndrome in micro indicators. The micro research of heart and spleen deficiency syndrome and the essence of other traditional Chinese medicine （TCM） syndromes can be carried out by metabonomics and other technologies combined with the theory of corresponding prescription and syndrome， along the specific related ideas of "prescription and syndrome， treatment principle and selection of prescription， treatment principle and selection of acupoints， as well as therapeutic mechanism and syndrome essence". The future users and researchers of animal models of insomnia with heart and spleen deficiency can get improved methods and ideas through the shortcomings of animal models of heart and spleen deficiency listed in this paper and construct animal models of insomnia with heart and spleen deficiency that are more suitable for clinical practice， so as to establish a more perfect modeling method and evaluation system of disease syndrome-combined animal model.

Heart and spleen deficiency syndrome is the most common syndrome type in patients with insomnia. Based on the theory of disease syndrome-combined animal model， this paper used multiple databases to search for the keywords "heart and spleen deficiency"， "insomnia"， "sleepless"， "disease syndrome-combined animal model"， "model evaluation"， etc. It selected the literature related to the animal model of insomnia with heart and spleen deficiency in the past 20 years to evaluate from the aspects of model establishment， modeling factors， syndrome model， disease model， macro characterization & macro characterization evaluation scale， micro indicators， etc. It is found that the existing animal model of insomnia with heart and spleen deficiency is not completely constructed by the method of disease syndrome combination of disease modeling factors and syndrome modeling factors. In the model using this method， the single establishment factor of heart and spleen deficiency does not conform to the clinical reality of disease， and the selection of the factors for the insomnia model is not closely related to or even separated from the syndrome performance. There is a problem of insufficient quantification of macro representation when the macro representation of the model replaces the symptoms related to heart and spleen deficiency syndrome and insomnia in an equivalent manner for macro representation evaluation， which can be improved according to the quantitative ideas and examples of the existing macro representation and macro representation evaluation scale. There are few specific indicators of heart and spleen deficiency syndrome in micro indicators. The micro research of heart and spleen deficiency syndrome and the essence of other traditional Chinese medicine （TCM） syndromes can be carried out by metabonomics and other technologies combined with the theory of corresponding prescription and syndrome， along the specific related ideas of "prescription and syndrome， treatment principle and selection of prescription， treatment principle and selection of acupoints， as well as therapeutic mechanism and syndrome essence". The future users and researchers of animal models of insomnia with heart and spleen deficiency can get improved methods and ideas through the shortcomings of animal models of heart and spleen deficiency listed in this paper and construct animal models of insomnia with heart and spleen deficiency that are more suitable for clinical practice， so as to establish a more perfect modeling method and evaluation system of disease syndrome-combined animal model.

To implement the Opinions of the State Council of the Central Committee of the Communist Party of China on Promoting the Inheritance and Innovative Development of Traditional Chinese Medicine， delve into the diseases specifically responding to traditional Chinese medicine （TCM）， and serve the building of advantageous specialties， clinical talent cultivation， national research layout， and academic innovation， the Chinese Association of Chinese Medicine sponsored the salons in multiple fields to discuss the diseases specifically responding to TCM. On August 26， 2023， the 25^th salon on the diseases specifically responding to TCM was held in Shanghai. In view of the advantages of TCM and integrated traditional Chinese and Western medicine in the diagnosis and treatment of psoriasis， Chinese and western medicine experts and interdisciplinary researchers carried out extensive and in-depth discussions and formed specific suggestions and consensus on the diagnosis and treatment of psoriasis with TCM and integrated traditional Chinese and Western medicine. However， there was still a lack of detailed research path. Under the guidance of the Chinese Association of Chinese Medicine， this paper analyzes the problems in the diagnosis and treatment of psoriasis from the occurrence and development of psoriasis. According to the advantages and characteristics of TCM and integrated traditional Chinese and Western medicine in the diagnosis and treatment of psoriasis， this paper puts forward the main points of research layout for psoriasis from the three aspects of psoriasis diagnosis and treatment， comorbidity prevention， and chronic disease management as follows： ① optimization of the syndrome differentiation system for psoriasis， ② optimization of assessment indicators for psoriasis， ③ recurrence mechanisms of psoriasis， ④ construction and research of TCM prevention and treatment of psoriasis recurrence， ⑤ construction of the comorbidity spectrum and TCM theoretical system of psoriasis， ⑥ comorbidity mechanisms of psoriasis. Furthermore， this article proposed the research layout and directions， expected goals and values， and funding priorities. Therefore， on the basis of the series of salons about psoriasis as a disease specifically responding to TCM， this article puts forward the research paradigm of psoriasis， aiming to facilitate the high-quality development of TCM and provide reference for the national research layout， the research and development of new TCM preparations， the selection of research topics， and the formulation of guidelines and consensus.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

Objective To investigate the factors associated with unplanned readmission within 30 days after discharge in adult patients who underwent coronary artery bypass grafting (CABG) and to develop and validate a risk prediction model. Methods A retrospective analysis was conducted on the clinical data of patients who underwent isolated CABG at the Nanjing First Hospital between January 2020 and June 2024. Data from January 2020 to August 2023 were used as a training set, and data from September 2023 to June 2024 were used as a validation set. In the training set, patients were divided into a readmission group and a non-readmission group based on whether they had unplanned readmission within 30 days post-discharge. Clinical data between the two groups were compared, and logistic regression was performed to identify independent risk factors for unplanned readmission. A risk prediction model and a nomogram were constructed, and internal validation was performed to assess the model’s performance. The validation set was used for validation. Results A total of 2 460 patients were included, comprising 1 787 males and 673 females, with a median age of 70 (34, 89) years. The training set included 1 932 patients, and the validation set included 528 patients. In the training set, there were statistically significant differences between the readmission group (79 patients) and the non-readmission group (1 853 patients) in terms of gender, age, carotid artery stenosis, history of myocardial infarction, preoperative anemia, and heart failure classification (P<0.05). The main causes of readmission were poor wound healing, postoperative pulmonary infections, and new-onset atrial fibrillation. Multivariable logistic regression analysis revealed that females [OR=1.659, 95%CI (1.022, 2.692), P=0.041], age [OR=1.042, 95%CI (1.011, 1.075), P=0.008], carotid artery stenosis [OR=1.680, 95%CI (1.130, 2.496), P=0.010], duration of first ICU stay [OR=1.359, 95%CI (1.195, 1.545), P<0.001], and the second ICU admission [OR=4.142, 95%CI (1.507, 11.383), P=0.006] were independent risk factors for unplanned readmission. In the internal validation, the area under the curve (AUC) was 0.806, and the net benefit rate of the clinical decision curve analysis (DCA) was >3%. In the validation set, the AUC was 0.732, and the DCA net benefit rate ranged from 3% to 48%. Conclusion Females, age, carotid artery stenosis, duration of first ICU stay, and second ICU admission are independent risk factors for unplanned readmission within 30 days after isolated CABG. The constructed nomogram demonstrates good predictive power.