[Objective] To assess the data characteristics of quality monitoring indicators for red blood cell (RBC) preparations, so as to provide reference for continuous improvement of blood quality. [Methods] The quality inspection data of 6 types of RBC preparations from Chongqing blood center from 2019 to 2023 were summarized. For the same indicators, the numerical range of quality indicators was monitored by comparing different types of preparations with the national standard GB18469. The loss and/or damage to RBCs caused by different preparation process were compared, and the impact of different preparation processes on the quality of RBCs was discussed. [Results] The appearance and sterility test compliance rates of the six types of RBC preparations were both 100%, while the compliance rates of other items were all ≥75%. The compliance rate of hematocrit for suspended RBCs was the lowest at 75%, with a median of 0.52, which was close to the lower limit of GB18469, while the medians of hematocrit for the other types were all at the midline level of GB18469. The Hb content for different types of RBCs was significantly higher than the corresponding requirements of GB18469 (P<0.05). The hemolysis rate at the end of storage for different types of RBCs was significantly lower than the requirements of GB18469 (P<0.05). The 1 U leukoreduction process resulted in a hemoglobin content loss of about 5% and had a significant impact on the hemolysis rate at the end of storage (P<0.05). The washing process resulted in a hemoglobin content loss of <3% and had no significant impact on the hemolysis rate at the end of storage (P>0.05). The concentration process resulted in a hemoglobin content loss of <3% and had a significant impact on the hemolysis rate at the end of storage (P<0.05). [Conclusion] The impact of different processes on RBC preparations is within a controllable range and meets the requirements of GB18469. The quality monitoring data can provide a reference for clinical blood selection, effectiveness evaluation and revision of related standards.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

OBJECTIVE: To review the research progress on the lower limb biomechanical characteristics of patients with discoid lateral meniscus (DLM) injury after surgery. METHODS: By searching relevant domestic and international research literature on DLM, the postoperative characteristics of knee joint movement biomechanics, tibiofemoral joint stress distribution, lower extremity force line, and patellofemoral joint changes in patients with DLM injury were summarized. RESULTS: Surgical treatment can lead to varying degrees of changes in the lower limb biomechanical characteristics of patients with DLM injury. Specifically, the kinematic biomechanics of the knee joint can significantly improve, but there are still problems such as extension deficits in the affected knee joint. The peak stress of the tibiofemoral joint decreases with the increase of the residual meniscus volume, and the degree of change is closely related to the residual meniscus volume. Preserving a larger volume of the meniscus, especially the anterior horn volume, helps to reduce stress concentration. The lower extremity force line will deviate outward after surgery, and the more meniscus is removed during surgery, the greater the change in the lower extremity force line after surgery. There are conditions such as cartilage degeneration, position and angle changes in the patellofemoral joint after surgery. CONCLUSION The changes in the lower limb biomechanical characteristics after DLM injury are closely related to the choice of surgical methods and rehabilitation programs. However, the mechanisms of biomechanical changes in multiple lower limb joints and individual differences still need to be further studied and clarified.
Humans ; Biomechanical Phenomena ; Tibial Meniscus Injuries/physiopathology* ; Menisci, Tibial/physiopathology* ; Knee Joint/surgery* ; Lower Extremity/physiopathology* ; Patellofemoral Joint/physiopathology* ; Range of Motion, Articular ; Knee Injuries/physiopathology*

Peptide-based radiopharmaceuticals targeting integrin α5β1 show promise for precise tumor diagnosis and treatment. However, current peptide-based radioligands that target α5β1 demonstrate inadequate in vivo performance owing to limited tumor retention. The use of PEGylation to enhance the tumor retention of radiopharmaceuticals by prolonging blood circulation time poses a risk of increased blood toxicity. Therefore, a PEGylation strategy that boosts tumor retention while minimizing blood circulation time is urgently needed. Here, we developed a PEGylation-enabled peptide multidisplay platform (PEGibody) for PR_b, an α5β1 targeting peptide. PEGibody generation involved PEGylation and self-assembly. [⁶⁴Cu]QM-2303 PEGibodies displayed spherical nanoparticles ranging from 100 to 200 nm in diameter. Compared with non-PEGylated radioligands, [⁶⁴Cu]QM-2303 demonstrated enhanced tumor retention time due to increased binding affinity and stability. Importantly, the biodistribution analysis confirmed rapid clearance of [⁶⁴Cu]QM-2303 from the bloodstream. Administration of a single dose of [¹⁷⁷Lu]QM-2303 led to robust antitumor efficacy. Furthermore, [⁶⁴Cu]/[¹⁷⁷Lu]QM-2303 exhibited low hematological and organ toxicity in both healthy and tumor-bearing mice. Therefore, this study presents a PEGibody-based radiotheranostic approach that enhances tumor retention time and provides long-lasting antitumor effects without prolonging blood circulation lifetime. The PEGibody-based radiopharmaceutical [⁶⁴Cu]/[¹⁷⁷Lu]QM-2303 shows great potential for positron emission tomography imaging-guided targeted radionuclide therapy for α5β1-overexpressing tumors.

The activation proteins released by fibroblasts in the tumor microenvironment regulate tumor growth, migration, and treatment response, thereby influencing tumor progression and therapeutic outcomes. Owing to the proliferation and metastasis of tumors, fibroblast activation protein (FAP) is typically highly expressed in the tumor stroma, whereas it is nearly absent in adult normal tissues and benign lesions, making it an attractive target for precision medicine. Radiolabeled agents targeting FAP have the potential for targeted cancer diagnosis and therapy. This comprehensive review aims to describe the evolution of FAPI-based radiopharmaceuticals and their structural optimization. Within its scope, this review summarizes the advances in the use of radiolabeled small molecule inhibitors for tumor imaging and therapy as well as the modification strategies for FAPIs, combined with insights from structure-activity relationships and clinical studies, providing a valuable perspective for radiopharmaceutical clinical development and application.

ObjectiveTo explore the efficacy-driving mechanism of Danhong injection （DHI） in the treatment of stable angina pectoris （SAP） based on the composition-activity relationship of target modules and clarify the pharmacological effects of DHI. MethodAccording to the angina frequency （AF） in the Seattle Angina Questionnaire （SAQ） that was obtained in the previous clinical trial， the patients before and after DHI treatment were grouped based on efficacy. The transcriptomic data of the patients before treatment and in the best efficacy group 30 days post-treatment were selected as the data source， and then weighted gene co-expression network analysis （WGCNA） was employed to construct the co-expression network. Relevant modules in the network were identified and associated with clinical features. In addition， the On-modules （Z value below 0） were identified by Zsummary. The topological indicators such as density， centrality， and clustering coefficient were adopted to explore the dynamics of DHI efficacy at the network level and module level， respectively. In addition， the driver genes were screened by the personalized network control （PNC） algorithm. Finally， rat H9C2 cells were used to establish the model of hypoxia/reoxygenation （H/R）， which was used to confirm the potential therapeutic target of DHI for SAP and provide a scientific basis for revealing the therapeutic mechanism of DHI. ResultWe identified 19 modules in the best efficacy group of DHI for SAP， and the comparison between day 0 and day 30 revealed 12 On-modules. The changes of network topological indicators at the network and module levels confirmed the correlation between the best efficacy of DHI treatment and topological dynamics. Finally， the driver genes， Klotho and fibroblast growth factor 22 （FGF22）， in DHI treatment of SAP were verified by the H9C2 cell model of H/R. ConclusionBased on clinical transcriptome data， this study determined the composition-activity relationship of target modules of DHI for SAP， which provided a scientific basis for deciphering the efficacy-driven mechanism of DHI for SAP.

The purpose of this study was to investigate the role of miR-4281 in immune thrombocytopenic purpura(ITP)and its underlying mechanism.Differentially expressed miRNAs in ITP were searched by using GEO database.Newly diagnosed ITP patients,treatment-effective ITP patients and healthy subjects were collected.Venous blood was obtained and peripheral blood mononuclear cells(PBMCs)and CD4+T cells were separated.Real-time quantitative PCR was used to detect the expression of miR-4281 and other factors in cells.Flow cytometry was conducted to analyze the rate of CD4+CD25+FOXP3+Tregs and Th17 cells.Pearson correlation coefficient method was used to test the relationship between miR-4281 expression level and various factors.Bioinformatics analysis revealed an abnormal expression of miR-4281 in ITP.Compared with healthy subjects and treatment-effective ITP patients,the expression level of miR-4281 in newly diagnosed ITP was decreased.The expression level of miR-4281 in PBMCs of ITP patients was positively correlated with Tregs content and Treg/Th17,while negatively correlated with Th17 cell content.miR-4281 can promote the differentiation of Tregs cells and inhibit the differentiation of Th17.Furthermore,the expression level of miR-4281 is positively correlated with the expression level of FOXP3.Taken together,the expression level of miR-4281 is reduced in ITP.This decrease can inhibit the expression of FOXP3,cause Treg/Th17 immune imbalance,and promote the progression of ITP.

Objective:To evaluate the effect of electroacupuncture on liver regeneration after partial hepatectomy in mice and the role of the Notch signaling pathway.Methods:Thirty-six SPF healthy male C57BL/6 mice, aged 6 weeks, weighing 20-22 g, were divided into 6 groups ( n=6 each) using a random number table method: sham operation group (group S), partial hepatectomy group (group PH), non-acupoint electroacupuncture+ partial hepatectomy group (group NPH), partial hepatectomy+ Fli-06 group (group PH+ F), acupoint electroacupuncture+ partial hepatectomy group (group EPH), and acupoint electroacupuncture+ partial hepatectomy+ Fli-06 group (group EPH+ F). All the mice except for group S underwent partial hepatectomy. Fli-06 4.8 mg/kg was intraperitoneally injected starting from 2 days before surgery, once a day, until the mice were sacrificed in group PH+ F and group EPH+ F, while the equal volume of 0.9% sodium chloride solution was injected in the other groups. In EPH group, electroacupuncture of bilateral " Zusanli" acupoints lasting for 15 min was performed using continuous waves with a frequency of 2 Hz and an intensity of 1 mA once a day starting from the time point immediately after surgery for 3 consecutive days. Mice were anesthetized at day 2 after partial hepatectomy, and blood samples were taken from the eyeball for determination of the serum alanine transaminase (ALT) and aspartate aminotransferase (AST) concentrations (using a fully automated biochemical analyzer) and concentrations of serum epidermal growth factor (EGF) and hepatocyte growth factor (HGF) (by enzyme-linked immunosorbent assay). The mice were subsequently sacrificed and liver tissues were taken for calculation of the liver mass to body mass ratio and for determination of the expression of liver proliferation marker Ki-67 (by immunohistochemical staining), proliferating cell nuclear antigen (PCNA), cyclin D1 (CCND1), Notch Intracellular Domain (NICD), and hypoxia-inducible factor-1alpha (HIF-1α) (using Western blot) and Notch1, jagged canonical Notch ligand 1 (Jagged1) and hairy and enhancer of split 1 (Hes1) mRNA (by real-time polymerase chain reaction). Results:Compared with group S, the serum ALT, AST, EGF and HGF concentrations were significantly increased, and the expression of hepatic Notch1, Jagged1 and Hes1 mRNA and Ki-67, PCNA, CCND1 and NICD was up-regulated in group PH ( P<0.05 or 0.01). Compared with group PH, the liver mass to body mass ratio and serum EGF and HGF concentrations were significantly increased, the serum ALT and AST concentrations were decreased, and the expression of hepatic Notch1, Jagged1, Hes1 mRNA and Ki-67, PCNA, CCND1, NICD and HIF-1α was up-regulated in group EPH, and the liver mass to body mass ratio and the serum HGF concentrations were significantly decreased, the serum ALT and AST concentrations were increased, and the expression of hepatic Jagged1 and Hes1 mRNA and Ki-67, PCNA, CCND1, NICD, and HIF-1α was down-regulated in group PH+ F ( P<0.05 or 0.01). Compared with group EPH, the liver mass to body mass ratio and serum EGF and HGF concentrations were significantly decreased, the serum ALT and AST concentrations were increased, and the expression of hepatic Notch1, Jagged1, Hes1 mRNA and Ki-67, PCNA, CCND1, NICD and HIF-1α was down-regulated in group EPH+ F ( P<0.01). Conclusions:Electroacupuncture at Zusanli acupoint promotes liver regeneration after partial hepatectomy in mice, and the mechanism may be related to the activation of the Notch signaling pathway.

By analyzing the of genetic testing data of patients with renal polycystic kidney disease and their relatives, this study aims to identify unreported novel gene mutation sites associated with autosomal dominant polycystic kidney disease (ADPKD). Structural prediction software was employed to investigate protein structural changes before and after mutations, explore genotype-phenotype correlations, and enrich the ADPKD gene database. In this single-center retrospective study, patients with multiple renal cysts diagnosed from January 2019 to February 2023 at the Zhong Da Hospital Southeast University were included. Genetic and clinical data of patients and their families were collected. Unreported novel gene mutation sites associated with ADPKD were identified. The AlphaFold v2.3.1 software was used to predict protein structures. Changes in protein structure before and after mutations were compared to explore genotype-phenotype correlations and enrich the ADPKD gene database. Twelve mutated genes associated with renal cysts were detected in 52 families. Nineteen novel gene mutation sites associated with ADPKD were identified, including 17 mutations in the PKD1 gene (one splicing mutation, seven frameshift mutations, four nonsense mutations, one whole-codon insertion, and four missense mutations); one ALG9 missense mutation; and one chromosomal structural variation. Truncating mutations in the PKD1 gene were correlated with a more severe clinical phenotype, while non-truncating mutations were associated with greater clinical heterogeneity. Numerous novel gene mutation sites associated with ADPKD remain unreported. Therefore, it is essential to analyze the pathogenicity of these novel mutation sites, establish genotype-phenotype correlations, and enrich the ADPKD gene database.

Objective:To understand the current situation and influencing factors of depression among residents in Chongqing, and to explore the relationship between depression and administration satisfaction of the standardized residency training.Methods:Stratified random cluster sampling was used to select 372 residents currently participating the standardized residency training in Chongqing. The patient health questionnaire (PHQ-9) and administration satisfaction of residency training questionnaire were used to conduct a cross-sectional survey on the depression status and satisfaction of residents in Chongqing. SPSS 21.0 software package was used for partial correlation analysis and binary logistic regression analysis to explore the relationship between depression and administration satisfaction of the standardized residency training.Results:Among the 372 residents, 218 had mild depression and above (58.60%). There was a significant difference in the incidence of depression among residents of different ages, educational background, marital status, working hours and administration satisfaction of residency training ( χ2 = 23.02, 17.35, 12.24, 21.70, 95.20; P = 0.028, 0.027, 0.016, 0.041, <0.001 respectively). Partial correlation analysis showed that there was a negative correlation between the total score of depression and the five aspects of the administration satisfaction (total score, instructors, training base, managers and training income) ( r=-0.52, -0.45, -0.47, -0.45, -0.40, all P<0.01). In the binary logistic regression analysis of depression and satisfaction,the satisfaction had a negative impact on depression, and its B value was -1.71, and OR value was 0.18, P<0.001. Conclusion:The incidence of depression among residents in Chongqing is high. Age, educational background, marital status, working hours and administration satisfaction are related to the degree of depression. And the higher the degree of depression, the lower the administration satisfaction of residents. Relevant departments should pay attention to the mental health of residents and improve the quality of standardized residency training.