Objective: To analyze the demographic characteristics, return donation patterns, and risk of adverse reactions among donors temporarily deferred due to blood pressure abnormalities, so as to provide an evidence-based foundation for optimizing pre-donation blood pressure screening strategies, enhancing donor retention, and ensuring blood supply safety. Methods: Data from 2.939 million donor instances were collected through the Information Management System at the Beijing Red Cross Blood Center between January 2015 and August 2025. The analysis specifically focused on the 11 600 instances of donors temporarily deferred due to abnormal blood pressure, examining demographic characteristics (age, and gender) and donation-related features (number of donations, donation site, and type of donation). Further analysis was conducted on the return donation patterns, including the return rate, time interval to return, and the incidence, type, and severity of adverse reactions among returned donors. Results: Distribution of abnormal blood pressure: Among the 11 600 instances of abnormal blood pressure, the prevalence was significantly higher in males (0.48%, 10 111/2 086 909) than in females (0.17%, 1 465/852 090). The 46-55 age group had the highest prevalence (0.88%, 2 925/329 235), and the differences across age groups were statistically significant. The prevalence was, higher among repeat donors (0.41%, 5 242/1 276 452) than first-time donors (0.38%, 6 334/1 662 547). The prevalence at mobile donation sites outside the blood center (0.06%, 350/596 104) was higher than fixed donor centers (0.50%, 10 225/2 052 290) and group donation drives (0.34%, 1 001/290 608). Return donations: A total of 19.49% (2 256 out of 11 576) deferred donors returner and successfully donated. Among these donors, 36.17% (816 out of 2 256) returned within 7 days, while the highest proportion of returns was observed within 31-182 days (25.44%, 574/2 256). A higher return rate was observed among male donors (20.17%, 2 039/1 0111) compared to female donors (14.81%, 217/1 465). The return rate for repeat donors (43.02%, 2 255/5 242) was significantly higher than that of first-time donors (0.02%, 1/6 334). Individual donors showed a higher return rate (20.95%, 1 986/9 479) than group donors (12.88%, 270/2 097), with all differences being statistically significant (P<0.05). The differences in return rates across age groups were not statistically significant (P>0.05). Adverse reactions: The incidence of adverse reactions after return was 0.09% (2/2 256), significantly lower than the overall adverse reaction incidence during the same period (0.20%, 5 981/2 938 999). Both adverse reactions were local reaction (category A1, pain or bruising at the puncture site), with no reported cases of systemic vasovagal reactions (VR) or severe adverse events. Conclusion: The current blood pressure screening criteria may lead to the unnecessary deferral of eligible donors. The risk of adverse reactions is extremely low among returned donors who were deferred for abnormal blood pressure. A relaxation of the blood pressure screening criteria is therefore suggested, coupled with the optimization of donation site environment and blood pressure measurement procedure with reference to expert consensus to enhance donor retention and blood supply safety.

Ferroptosis is a form of programmed cell death characterized by overwhelmed lipid oxidation, and it has emerged as a promising strategy for cancer therapy. Enhanced ferroptosis could overcome the limitations of conventional therapeutic modalities, particularly in difficult-to-treat tumors. In this study, we developed a dual-modality therapy in nanomedicine by combining paclitaxel (PTX) chemotherapy and pyropheophorbide-a (Ppa) phototherapy. Heparin (HP) was grafted with poly(N-(2'-hydroxy) propyl methacrylamide) (pHPMA) using reversible addition-fragmentation chain transfer polymerization to form HP-pHPMA (HH), which was utilized to deliver Ppa and PTX, yielding HP-pHPMA-Ppa (HH-Ppa) and HP-pHPMA-PTX (HH-PTX), respectively. The prodrug-based combinational nanomedicine (HH-PP) was formed by co-assembly of HH-PTX and HH-Ppa. It was found that HH-PP treatment significantly disrupted lipid metabolism in triple-negative breast cancer (TNBC) cells, induced extensive lipid oxidation, and promoted ferroptosis. In vivo, HH-PP intervention achieved a tumor growth inhibition rate of 86.63% and activated adaptive immunity with an elevated CD8⁺ cytotoxic T cell infiltration level. This combinational nanomedicine offers a promising platform for co-delivery of multiple therapeutic agents. It exerts a promising anti-tumor effect via enhanced ferroptosis and ferroptosis-induced immune activation by disrupting lipid metabolism in TNBC cancer cells.

Objective:To discuss the effect of sericin on the phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt)/nuclear factor-κB(NF-κB)signaling pathway and apoptosis in the streptozotocin(STZ)-damaged INS-1 cells,and to clarify its mechanism.Methods:The INS-1 cells were cultured with complete medium containing 0,0.1,0.3,1.0,3.0,and 10.0 μmol·L-1 Akt1 inhibitor A-674563,10 mmol·L-1 STZ,and 600 mg·L-1 sericin,and divided into 0,0.1,0.3,1.0,3.0,and 10.0 μmol·L-1 A-674563 groups,and the control group(complete medium without drugs)was set up.Cell counting kit-8(CCK-8)method was used to detect the survival rates of the INS-1 cells,and the half-maximal inhibitory concentration(IC50)value was calculated to determine the optimal inhibitory concentration of A-674563,which was further verified by Western blotting method.The INS-1 cells were divided into normal control group(complete medium),model group(10 mmol·L-1 STZ+complete medium),and low,medium,and high doses of sericin groups(10 mmol·L-1 STZ+150 mg·L-1 sericin+complete medium,10 mmol·L-1 STZ+300 mg·L-1 sericin+complete medium,and 10 mmol·L-1 STZ+600 mg·L-1 sericin+complete medium).CCK-8 method was used to detect the survival rates of the INS-1 cells in various groups to determine the optimal concentration of sericin.Additionally,the INS-1 cells were divided into normal control group(complete medium),model group(10 mmol·L-1 STZ+complete medium),sericin group(10 mmol·L-1 STZ+600 mg·L-1 sericin+complete medium),and A-674563 group(10 mmol·L-1 STZ+600 mg·L-1 sericin+0.3 μmol·L-1 A-674563+complete medium).Flow cytometry was used to detect the apoptotic rates of the INS-1 cells in various groups;real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression levels of Akt1,NF-κB,tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6)mRNA in the INS-1 cells in various groups;Western blotting method was used to detect the expression levels of phosphorylated Akt1(p-Akt1)and NF-κB proteins in the INS-1 cells in various groups;enzyme linked immunosorbent assay(ELISA)method was used to detect the levels of TNF-α and IL-6 in the INS-1 cells in various groups.Results:The survival rates of the INS-1 cells in control group was 100.00%±0.00%;in 0,0.1,0.3,1.0,3.0,and 10.0 μmol·L-1 A-674563+10 mmol·L-1 STZ+600 mg·L-1 sericin+complete medium groups,which were 82.50%±2.28%,69.47%±1.94%,51.51%±1.74%,38.94%±1.57%,24.79%±1.14%,and 19.85%±1.03%,respectively.The IC?? value of A-674563 for INS-1 cells was 0.3 μmol·L-1,and 0.3 μmol·L-1 A-674563 was selected for subsequent experiments.Compared with 0 μmol·L-1 A-674563,the expression level of p-Akt1 protein in the INS-1 cells after treated with 0.3 μmol·L-1 A-674563+10 mmol·L-1 STZ+600 mg·L-1 sericin+complete medium was significantly decreased(P<0.05).The CCK-8 results showed that compared with normal control group,the survival rate of the INS-1 cells in model group was significantly decreased(P<0.05);compared with model group,the survival rates of the INS-1 cells in low,medium,and high doses of sericin groups were significantly increased(P<0.05);compared with low and medium doses of sericin groups,the survival rate of the INS-1 cells in high dose of sericin group was significantly increased(P<0.05).Thus,600 mg·L-1 sericin was selected for subsequent experiments.The CCK-8 results showed that compared with normal control group,the survival rate of the INS-1 cells in model group was significantly decreased(P<0.05);compared with model group,the survival rate of the INS-1 cells in sericin group was significantly increased(P<0.05);compared with sericin group,the survival rate of the INS-1 cells in A-674563 group was significantly decreased(P<0.05).The flow cytometry results showed that compared with normal control group,the apoptotic rate of the INS-1 cells in model group was significantly increased(P<0.05);compared with model group,the apoptotic rate of the INS-1 cells in sericin group was significantly decreased(P<0.05);compared with sericin group,the apoptotic rate of the INS-1 cells in A-674563 group was significantly increased(P<0.05).The RT-qPCR results showed that compared with normal control group,the expression level of Akt1 mRNA in the INS-1 cells in model group was significantly decreased(P<0.05);compared with model group,the expression levels of Akt1 mRNA in the INS-1 cells in low,medium,and high doses of sericin groups were significantly increased(P<0.05);compared with low and medium doses of sericin groups,the expression level of Akt1 mRNA in the INS-1 cells in high dose of sericin group was significantly increased(P<0.05).Compared with normal control group,the expression levels of NF-κB,TNF-α,and IL-6 mRNA in the INS-1 cells in model group were significantly increased(P<0.05);compared with model group,the expression levels of NF-κB,TNF-α,and IL-6 mRNA in the INS-1 cells in sericin group were significantly decreased(P<0.05);compared with sericin group,the expression level of NF-κB mRNA in the INS-1 cells in A-674563 group was significantly increased(P<0.05).The Western blotting results showed that compared with normal control group,the expression level of p-Akt1 protein in the INS-1 cells in model group was significantly decreased(P<0.05);compared with model group,the expression levels of p-Akt1 protein in the INS-1 cells in low,medium,and high doses of sericin groups were significantly increased(P<0.05);compared with low and medium doses of sericin groups,the expression level of p-Akt1 protein in the INS-1 cells in high dose of sericin group was significantly increased(P<0.05).Compared with normal control group,the expression level of NF-κB protein in the INS-1 cells in model group was significantly increased(P<0.05);compared with model group,the expression level of NF-κB protein in the INS-1 cells in sericin group was significantly decreased(P<0.05);compared with sericin group,the expression level of NF-κB protein in the INS-1 cells in A-674563 group was significantly increased(P<0.05).The ELISA results showed that compared with normal control group,the levels of TNF-α and IL-6 in the INS-1 cells in model group were significantly increased(P<0.05);compared with model group,the levels of TNF-α and IL-6 in the INS-1 cells in sericin group were significantly decreased(P<0.05);compared with sericin group,the levels of TNF-α and IL-6 in the INS-1 cells in A-674563 group were significantly increased(P<0.05).Conclusion:Sericin alleviates the PI3K/Akt/NF-κB signaling pathway-mediated inflammatory response and apoptosis by targeting Akt1,exerting a protective effect against STZ-induced damage in INS-1 cells.

Objective We propose a method for multi-label classification of traditional Chinese medicine(TCM)literature using graph neural networks to enhance sentence embeddings.This approach can effectively capture the relationships between similar articles.By integrating with the semantic information of the text,it improves classification performance.Methods Sentence embedding data of papers are obtained,and a heterogeneous network of traditional Chinese medicine literature is established.The representation information of papers on the heterogeneous network and their own sentence embedding information are learned through the GraphSAGE model of graph neural networks.The feature vectors obtained are then input into the model for multi-label classification.Results In a TCM literature dataset,the multi-label classification model based on graph neural networks achieved precision and F1 scores of 0.83 and 0.72,respectively,outperforming mainstream baseline models.Conclusion The effectiveness of the proposed method in the multi-label classification task for TCM journals.

Breast cancer is a highly heterogeneous malignant tumor,and different individuals have great differences in pathological manifestations,tissue structure,morphology,texture characteristics and treatment effects.Evaluation of breast cancer heterogeneity is of great significance for the design of individualized treatment plan and the prediction of curative effect.At present,multi-modal MRI can sensitively evaluate the extent,shape,margin,internal enhancement mode,time signal intensity curve,apparent diffusion coefficient value and other information of the lesion,which is expected to effectively predict the heterogeneity of breast cancer.In particular,artificial intelligence has high clinical guiding significance in the evaluation of breast cancer heterogeneous multimodal MRI imaging.The purpose of this paper is to review the research progress of artificial intelligence-based multimodal MRI evaluation of breast cancer heterogeneity,so as to improve the level of individualized diagnosis and treatment of breast cancer.

Objective:To study the effect of traditional Chinese medicine (TCM) formula in the treatment of brucellosis.Methods:Patients with brucellosis who were treated at the Beidahuang Industry Group General Hospital from March to November 2024 were selected and their clinical data were collected. A case-control study was conducted, thirty patients treated with conventional therapy plus TCM formula were selected as the TCM group, and 35 patients treated with conventional therapy were selected as the control group. Blood routine, C-reactive protein (CRP), lymphocyte subsets (CD45 +, CD3 +, CD4 +, CD8 +, CD19 +), and related cytokines [interleukin (IL)-6, IL-10] were determined before and after treatment to observe the clinical effect of TCM formula in the treatment of brucellosis. Survival curve was draw, and Log-Rank test was used to compare the differences in clinical symptom relief time between the two groups of patients. Results:Compared with pre-treatment, there were statistically significant differences in the numbers of CD45 +, CD3 +, CD4 +, CD8 +, CD19 + lymphocytes, neutrophil (NEUT), and the levels of CRP, IL-6, and IL-10 in the TCM group after treatment ( P < 0.05). After treatment, the comparison of each index between the two groups showed that there were statistically significant differences in the numbers of CD45 +, CD3 +, CD4 +, and CD8 + lymphocytes [control group vs TCM group: 2 470.00 (1 895.50, 3 207.00) vs 1 991.00 (1 720.75, 2 367.25), 1 920.00 (1 364.50, 2 428.00) vs 1 591.00 (1 343.00, 1 884.00), 1 021.00 (785.00, 1 205.50) vs 839.50 (704.25, 1 010.25), (686.42 ± 294.47) vs (596.97 ± 205.32) pieces/μl, P < 0.05]. There was no statistically significant difference in the number of CD19 + lymphocytes, NEUT, and the levels of CRP, IL-6 and IL-10 ( P > 0.05). The Log-Rank test results showed that there were statistically significant differences in the relief time of hyperhidrosis and night sweats ( P = 0.016), fatigue ( P = 0.016), and muscle soreness ( P = 0.004) between the two groups of patients. Conclusion:TCM formula has certain effects in the adjuvant therapy of brucellosis, which can improve the immune function of lymphocytes and relieve clinical symptoms, and has clinical application value.

Objective To explore the correlation between helicobacter pylori(Hp)infection and inflam-matory factors,as well as its association with the progression of liver fibrosis in patients with metabolically associ-ated fatty liver disease(MAFLD)and type 2 diabetes mellitus(T2DM).Methods A total of 300 patients diag-nosed with MAFLD and T2DM who were admitted to the Hepatology Department of Hebei Hospital of Traditional Chinese Medicine between April 2023 and March 2024 were recruited.Based on Hp infection status,these patients were classified into an Hp-positive group and an Hp-negative group.Subsequently,the clinical data,inflammatory factors,and liver fibrosis indices of the two groups were comprehensively compared.Furthermore,the patients in the Hp-positive group were randomly assigned to an intervention group and a control group.The intervention group received standard Hp eradication therapy,whereas the control group was administered placebo therapy.Pearson correlation analysis was employed to investigate the associations among Hp infection,inflammatory factors,and liver fibrosis indices.Binary logistic regression analysis was utilized to identify the independent risk factors influencing the progression of liver fibrosis.Results In both the Hp-positive and Hp-negative groups,parameters including age,fasting blood glucose(FPG),glycosylated hemoglobin(HbA1c),total bilirubin(TBIL),direct bilirubin(DBIL),indirect bilirubin(IBIL),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6),along with C-reactive protein(CRP)and liver stiffness measurement(LSM),were meticulously measured.Statistical analysis revealed that the differences in these parameters between the two groups were significant(P<0.05).Specifically,within the experimental setup,the levels of TNF-α,IL-6,CRP,and LSM in the intervention group were notably lower than those in the control group(P<0.05).Pearson correlation analysis was employed to explore the relation-ships among variables,and the results indicated a positive correlation between the Hp detection value(DPM)and the levels of TNF-α,IL-6,CRP,and LSM(P<0.05).Furthermore,binary logistic regression analysis was con-ducted to identify independent risk factors.The findings demonstrated that positive Hp infection,elevated TNF-α,elevated IL-6,and elevated CRP were independent risk factors for the progression of liver fibrosis(P<0.05).To evaluate the diagnostic performance,the receiver operating characteristic(ROC)curve analysis was carried out.The areas under the curve(AUC)for HP infection,TNF-α,IL-6,and CRP were 0.800,0.786,0.769,and 0.783,respectively.These values were significantly lower than the AUC of 0.896 obtained from the combined detection(P<0.05).Conclusions In MAFLD patients with T2DM,DPM is closely associated with inflammatory factors(such as TNF-α,IL-6,and CRP)and the advancement of liver fibrosis.The combined detection of these factors holds significant value in predicting the progression of liver fibrosis.It can offer a reliable foundation for the clinical assessment of the risk of liver fibrosis progression.

Objective We propose a method for multi-label classification of traditional Chinese medicine(TCM)literature using graph neural networks to enhance sentence embeddings.This approach can effectively capture the relationships between similar articles.By integrating with the semantic information of the text,it improves classification performance.Methods Sentence embedding data of papers are obtained,and a heterogeneous network of traditional Chinese medicine literature is established.The representation information of papers on the heterogeneous network and their own sentence embedding information are learned through the GraphSAGE model of graph neural networks.The feature vectors obtained are then input into the model for multi-label classification.Results In a TCM literature dataset,the multi-label classification model based on graph neural networks achieved precision and F1 scores of 0.83 and 0.72,respectively,outperforming mainstream baseline models.Conclusion The effectiveness of the proposed method in the multi-label classification task for TCM journals.

Objective:To study the effect of traditional Chinese medicine (TCM) formula in the treatment of brucellosis.Methods:Patients with brucellosis who were treated at the Beidahuang Industry Group General Hospital from March to November 2024 were selected and their clinical data were collected. A case-control study was conducted, thirty patients treated with conventional therapy plus TCM formula were selected as the TCM group, and 35 patients treated with conventional therapy were selected as the control group. Blood routine, C-reactive protein (CRP), lymphocyte subsets (CD45 +, CD3 +, CD4 +, CD8 +, CD19 +), and related cytokines [interleukin (IL)-6, IL-10] were determined before and after treatment to observe the clinical effect of TCM formula in the treatment of brucellosis. Survival curve was draw, and Log-Rank test was used to compare the differences in clinical symptom relief time between the two groups of patients. Results:Compared with pre-treatment, there were statistically significant differences in the numbers of CD45 +, CD3 +, CD4 +, CD8 +, CD19 + lymphocytes, neutrophil (NEUT), and the levels of CRP, IL-6, and IL-10 in the TCM group after treatment ( P < 0.05). After treatment, the comparison of each index between the two groups showed that there were statistically significant differences in the numbers of CD45 +, CD3 +, CD4 +, and CD8 + lymphocytes [control group vs TCM group: 2 470.00 (1 895.50, 3 207.00) vs 1 991.00 (1 720.75, 2 367.25), 1 920.00 (1 364.50, 2 428.00) vs 1 591.00 (1 343.00, 1 884.00), 1 021.00 (785.00, 1 205.50) vs 839.50 (704.25, 1 010.25), (686.42 ± 294.47) vs (596.97 ± 205.32) pieces/μl, P < 0.05]. There was no statistically significant difference in the number of CD19 + lymphocytes, NEUT, and the levels of CRP, IL-6 and IL-10 ( P > 0.05). The Log-Rank test results showed that there were statistically significant differences in the relief time of hyperhidrosis and night sweats ( P = 0.016), fatigue ( P = 0.016), and muscle soreness ( P = 0.004) between the two groups of patients. Conclusion:TCM formula has certain effects in the adjuvant therapy of brucellosis, which can improve the immune function of lymphocytes and relieve clinical symptoms, and has clinical application value.

Breast cancer is a highly heterogeneous malignant tumor,and different individuals have great differences in pathological manifestations,tissue structure,morphology,texture characteristics and treatment effects.Evaluation of breast cancer heterogeneity is of great significance for the design of individualized treatment plan and the prediction of curative effect.At present,multi-modal MRI can sensitively evaluate the extent,shape,margin,internal enhancement mode,time signal intensity curve,apparent diffusion coefficient value and other information of the lesion,which is expected to effectively predict the heterogeneity of breast cancer.In particular,artificial intelligence has high clinical guiding significance in the evaluation of breast cancer heterogeneous multimodal MRI imaging.The purpose of this paper is to review the research progress of artificial intelligence-based multimodal MRI evaluation of breast cancer heterogeneity,so as to improve the level of individualized diagnosis and treatment of breast cancer.