Due to the diverse composition and complex physicochemical and biological characteristics, the pre-treatment of microbiological counting method （preparation of test solution） in microbiological limit test were interfered by many factors, which ultimately affected the repeatability and accuracy of test results. Improving the accuracy of microbiological test is of practical significance to ensure the safety and effectiveness of non-sterile preparations. In this paper, the key factors and optimization methods involved in the pre-treatment of proprietary Chinese medicines were systematically analyzed and summarized.

Subtype classification of age-related macular degeneration (AMD) based on optical coherence tomography (OCT) images serves as an effective auxiliary tool for clinicians in diagnosing disease progression and formulating treatment plans. To improve the classification accuracy of AMD subtypes, this study proposes a keypoint-based, attention-enhanced residual network (KPA-ResNet). The proposed architecture adopts a 50-layer residual network (ResNet-50) as the backbone, preceded by a keypoint localization module based on heatmap regression to outline critical lesion regions. A two-dimensional relative self-attention mechanism is incorporated into convolutional layers to enhance the representation of key lesion areas. Furthermore, the network depth is appropriately increased and an improved residual module, ConvNeXt, is introduced to enable comprehensive extraction of high-dimensional features and enrich the detail of lesion boundary contours, ultimately achieving higher classification accuracy of AMD subtypes. Experimental results demonstrate that KPA-ResNet achieves significant improvements in overall classification accuracy compared with conventional convolutional neural networks. Specifically, for the wet AMD subtypes, the classification accuracies for inactive choroidal neovascularization (CNV) and active CNV reach 92.8% and 95.2%, respectively, representing substantial improvement over ResNet-50. These findings validate the superior performance of KPA-ResNet in AMD subtype classification tasks. This work provides a high-accuracy, generalizable network architecture for OCT-based AMD subtype classification and offers new insights into integrating attention mechanisms with convolutional neural networks in ophthalmic image analysis.
Tomography, Optical Coherence/methods* ; Humans ; Macular Degeneration/diagnostic imaging* ; Neural Networks, Computer

The spatio-temporal heterogeneity of breast cell subsets forms the fundamental biological basis for physiological development and pathological progression, including tumorigenesis; however, its complex regulatory mechanisms are not yet fully elucidated. With its high-resolution capabilities, single-cell RNA sequencing (scRNA-seq) technology offers a powerful tool for dissecting this cellular heterogeneity. This technology enables the construction of high-precision breast cell atlases, the accurate identification of distinct cell subsets, and the reconstruction of differentiation trajectories from stem/progenitor cells to functional epithelial cells. By resolving the transcriptional regulatory networks that govern cell fate determination, intercellular communication patterns, and dynamic microenvironmental interactions, scRNA-seq has unveiled the molecular foundations of breast development and provided new perspectives on the pathogenesis of related diseases such as breast cancer and macromastia. Furthermore, scRNA-seq demonstrates significant potential for discovering early molecular markers of disease, deciphering tumor heterogeneity, and elucidating mechanisms of therapeutic resistance. The continued application of scRNA-seq for dissecting breast cell heterogeneity, combined with its integration with multi-modal data such as spatial omics, promises to provide critical evidence and new insights for revealing the molecular mechanisms of breast development-related diseases and for formulating precision therapeutic strategies.
Humans ; Single-Cell Analysis/methods* ; Female ; Breast Neoplasms/pathology* ; Sequence Analysis, RNA/methods* ; Breast/cytology*

Somatostatin receptor 1 (SSTR1) is a crucial therapeutic target for various neuroendocrine and oncological disorders. Current SSTR1-targeted treatments, including the first-generation somatostatin analog lanreotide (Lan) and the second-generation analog pasireotide (Pas), show promise but encounter challenges related to selectivity and efficacy. This study presents high-resolution cryo-electron microscopy structures of SSTR1 complexed with Lan or Pas, revealing the distinct mechanisms of ligand-binding and activation. These structures illustrate unique conformational changes in the SSTR1 orthosteric pocket induced by each ligand, which are critical for receptor activation and ligand selectivity. Combined with the biochemical assays and molecular dynamics simulations, our results provide a comparative analysis of binding characteristics within the SSTR family, highlighting subtle differences in SSTR1 activation by Lan and Pas. These insights pave the way for designing next-generation therapies with enhanced efficacy and reduced side effects through improved receptor subtype selectivity.

A method capable of retinal vessel segmentation and three-dimensional(3D)reconstruction is proposed for the early diagnosis of diabetic retinopathy.The 3D reconstruction can avoid the misjudgments of blood vessel length,curvature and branch angle after segmentation,which will affect the early diagnosis.IAAnet algorithm for retinal image segmentation combines traditional Unet with Inception V3,atrous spatial pyramid pooling and AttentionGates to reduce information loss and avoid over-fitting,thereby improving the network's ability to extract features.The projection reconstruction method is used to restore the 3D information of blood vessels,and supports the adjustments of brightness and contrast,so that doctors can better observe the real state of blood vessels.The proposed algorithm has an accuracy,recall rate,F1 score,intersection over union and area under ROC curve of 97.68%,96.07%,97.26%,92.79%and 94.00%,respectively.Compared with other networks,IAAnet algorithm exhibits higher segmentation accuracy,and can obtain more vascular information in 3D image after 3D projection reconstruction to assist in the early diagnosis.

As an important functional material for water treatment,ion exchange resin is widely used in medicine,chemical industry,nuclear industry and other fields.Due to its high efficiency and reliability,it is also widely used in the water circulation system of China Space Station,such as urine treatment subsystem,water treatment subsystem,and electrolytic oxygen production subsystem,which effectively guarantees the normal operation of the equipment and the safe use of water resources.Considering its renewability,the development of ion exchange resin regeneration technology for manned space missions can further reduce the supply demand of long-term missions,which is of great significance for the development of manned space flight to deep space.This paper focuses on the application characteristics and research progress of three kinds of ion exchange resin electro-regeneration technology,and the potential auxiliary regeneration technologies such as thermal regeneration,biological regeneration,ultrasonic regeneration and carbon dioxide regeneration are introduced,and the application prospect analysis of ion exchange regeneration technology is given according to the application characteristics of manned spaceflight.

Objective:To translate the Wound Symptom Self-Assessment Chart (WoSSAC) into Chinese and test its reliability and validity among patients with malignant wounds in China.Methods:With authorization from the original author, the WoSSAC was translated into Chinese following Brislin's back-translation model, resulting in the Chinese version of WoSSAC. Convenience sampling was used to select 115 oncology patients with malignant wounds who were admitted to Beijing Cancer Hospital from June and December 2022 for a survey to validate the Chinese version of WoSSAC. Item analysis was used for item screening; content validity index and structural validity were used to test the validity of the scale. Reliability was assessed using Cronbach's α coefficient, split-half reliability, and test-retest reliability.Results:All 115 distributed questionnaires were completed and returned, yielding a 100% response rate. The Chinese version of WoSSAC consisted of 21 items divided into two parts: the severity of wound-related problems and the degree of impact on daily life. Exploratory factor analysis revealed two common factors from the section on the severity of wound-related problems, with a cumulative variance contribution rate of 83.583%, and two common factors from the section on the degree of impact on dailly life, with a cumulative variance contribution rate of 81.422%. The content validity index was 0.98 at the scale level and ranged from 0.80 to 1.00 at the item level. The Cronbach's α coefficient for the the section on the severity of wound-related problems was 0.979, with a split-half reliability of 0.924; for the section on the degree of impact on dailly life, Cronbach's α was 0.975, with a split-half reliability of 0.937. The test-retest reliability coefficients were 0.842 for the severity of wound-related problems and 0.903 for the degree of impact on daily life.Conclusions:The Chinese version of WoSSAC demonstrates good reliability and validity and can be used for self-assessment of the severity of malignant wound symptoms and their impact on daily life.

ObjectiveTo explore the association between triglyceride-glucose （TyG） index and major adverse cardiovascular events （MACEs） risk in coronary heart disease （CHD） patients with blood stasis syndrome after percutaneous coronary intervention （PCI）. MethodsA total of 857 CHD patients with blood stasis syndrome after PCI were enrolled and divided into four groups according to the baseline TyG index quartiles， Q1 （TyG ＜ 8.51）， Q2 （8.51 ≤ TyG ＜ 8.88）， Q3 （8.88 ≤ TyG ＜ 9.22）， and Q4 （TyG ≥ 9.22）. The clinical outcome was defined as a compound endpoint of cardiovascular events including cardiac death， non-fatal myocardial infarction， unplanned revascularization， in-stent restenosis and stroke. The machine learning Boruta algorithm was used for feature selection related to MACEs risk. Kaplan-Meier survival analysis and Cox proportional hazards regression model were used to compare the differences in MACEs risk among the four groups. Restricted cubic spline （RCS） and subgroup analysis were performed to determine the relationship between the TyG index and MACEs risk. The area under the receiver operating characteristic （ROC） curve （AUC）， calibration curve and Hosmer-Lemeshow test， and decision curve analysis （DCA） were plotted to evaluate the predictive value of the TyG index for MACEs risk. ResultsThe median follow-up time of the included patients was 2.45 years. During the follow-up period， 313 cases （36.52%） of new MACEs occurred. The incidence of MACEs in Q1， Q2， Q3， Q4 group was 28.17% （60/213）， 29.05% （61/210）， 39.45% （86/218） and 49.07% （106/216）， respectively. Kaplan-Meier survival analysis suggested statistically significant differences in MACEs risk among the four groups （P＜0.001）. Cox proportional hazards regression model analysis found that the risk of MACEs in patients with high TyG index increased by 60.1% （P＜0.01）. Using Q1 as the reference， the MACEs risk in Q2， Q3 and Q4 groups gradually increased， and the trend was statistically significant （P＜0.05）. RCS model suggested that the TyG index was nonlinearly associated with the MACEs risk （P＜0.001）. The TyG index had a good predictive performance for MACEs risk according to ROC analysis （AUC=0.758， 0.724-0.792） and Hosmer-Lemeshow test （χ² = 4.319， P = 0.827）. Additionally， DCA analysis also suggested a good clinical efficacy of the TyG index for predicting MACEs. Subgroup analysis showed that different baseline TyG index was positively correlated with the MACEs risk in the stratification of age， male， BMI， history of diabetes and hypertension， and low-density lipoprotein cholesterol （LDL-C）≥1.8 mmol·L^-1（P＜0.05）. ConclusionThe elevated TyG index is closely corrected with an increased risk of MACEs in CHD patients with blood stasis syndrome after PCI， indicating a guiding significance for early risk stratification and clinical decisions.

ObjectiveTo explore the impact of blood-invigorating and stasis-dissolving medicinals combined with conventional western medicine on the major adverse cardiovascular events （MACE） in patients with coronary heart disease （CHD） after percutaneous coronary intervention （PCI）. MethodsA prospective cohort study was conducted to collect data on consecutive cases of CHD after PCI. According to whether blood-invigorating and stasis-dissolving medicinals were used， the cases were divided into a Chinese herbal medicinals （CHM） group and control group. The primary outcome was the incidence of MACE one year after PCI， while the secondary outcomes included TCM syndrome score and echocardiography left ventricular ejection fraction （LVEF）. Logistic regression analysis was performed to explore the influencing factors of MACE. ResultsA total of 844 patients who met the criteria were included， with 617 in the CHM group and 227 in the control group. The main blood-invigorating and stasis-dissolving medicinals being used were Danshen （Radix et Rhizoma Salviae Miltiorrhizae， 46.35%）， Chuanxiong （Rhizoma Chuanxiong， 45.87%）， and Chishao （Radix Paeoniae Rubra， 42.30%）. After a median follow-up of 12.73 months， the incidence of MACE in the CHM group （142/617， 23.01%） was significantly lower than that in the control group （68/227， 29.96%） with significant difference （OR=0.70， 95%CI 0.50 to 0.98， P = 0.04）. The LVEF of the CHM group ［（60.06±6.13）%］ was higher than that of the control group ［（58.27±7.36）%］ with significant difference （t = 0.356， P＜0.01）. The TCM syndrome score in the CHM group decreased to 12.66±4.47， while that in the control group increased to 13.81±3.88， with the results favoring the CHM group （t = 2.78， P＜0.01）. Univariate analysis showed correlations between the incidence of MACE after PCI and the use of blood-invigorating and stasis-dissolving medicinals， LVEF， usage of renin-angiotensin-aldosterone system （RAAS） inhibitors， TCM syndrome score， and usage of β blockers （P＜0.05）. Multivariate analysis showed that the use of blood-invigorating and stasis-dissolving medicinals was significantly associated with the reduction of MACE （P＜0.01）， while the baseline LVEF decline， TCM syndrome score increase， no use of RAAS inhibitors or β blockers were the risk factors of MACE after PCI （P＜0.05）. ConclusionThe use of blood-invigorating and stasis-dissolving medicinals based on the conventional western medicine can reduce the risk of MACE one year after PCI of CHD， improve the TCM syndromes and protect heart function.

BACKGROUND:Up to now,there is no literature on the relationship between blood laboratory tests and the course of nontraumatic osteonecrosis of femoral head in different stages.It is necessary to further explore and analyze so as to better clarify the influencing factors of nontraumatic osteonecrosis of femoral head. OBJECTIVE:To analyze the relationship between blood laboratory indicators and the course of nontraumatic osteonecrosis of the femoral head by the Association Research Circulation Osseous(ARCO),thus exploring the influencing factors of blood laboratory indicators on the course of nontraumatic osteonecrosis of the femoral head. METHODS:This study used a retrospective study design.A total of 2 103 patients with osteonecrosis of the femoral head were retrieved from Wangjing Hospital of China Academy of Chinese Medical Sciences database,and 1 075 patients with nontraumatic osteonecrosis of the femoral head were ultimately included based on inclusion and exclusion criteria.Patient age,gender,body mass index,and blood laboratory test results were collected.Blood laboratory tests included low-density lipoprotein,total cholesterol,triglycerides,high-density lipoprotein,apolipoprotein β,apolipoprotein α1,uric acid,total protein quantitative,alkaline phosphatase,activated partial thromboplastin time,prothrombin time,prothrombin time International Normalized Ratio,prothrombin time activity,fibrinogen quantitative,coagulation time of thrombin,D-dimer,total iron binding capacity,and platelet count.The indicators of patients with different age groups and different ARCO stages were compared,and multiple Logistic regression analysis was applied to explore the influencing factors of ARCO stages in osteonecrosis of the femoral head. RESULTS AND CONCLUSION:(1)There were statistical differences in total cholesterol,uric acid,prothrombin time,prothrombin time International Normalized Ratio,and D-dimer among ARCO stages in the young group(P<0.05).Among young patients in ARCO stage II,total cholesterol levels were higher than those in ARCO stage III(P<0.05).Uric acid levels in ARCO stage IV were higher than those in ARCO stage II and III(P<0.05).Prothrombin time and prothrombin time International Normalized Ratio were shorter in ARCO stage IV and II than in ARCO stage III(P<0.05).D-dimer levels were higher in ARCO stage III and IV than in ARCO stage II(P<0.05).(2)There were statistically significant differences in high-density lipoprotein,coagulation time of thrombin,and D-dimer among ARCO stages in the middle-aged group(P<0.05).Among middle-aged patients in ARCO stage IV,high-density lipoprotein levels were higher than those in ARCO stages II and III(P<0.05).Coagulation time of thrombin was shorter in ARCO stage IV than in ARCO stage III(P<0.05).D-dimer levels were higher in ARCO stages IV than in ARCO stages II and III(P<0.05).(3)The uric acid,activated partial thromboplastin time,D-dimer,and platelet count in the elderly group showed statistically significant differences(P<0.05).The uric acid level in ARCO stage IV was higher than that in ARCO stage II and III patients in the elderly group(P<0.05),while the activated prothrombin time in ARCO stage II patients was shorter than that in ARCO stage III patients in the elderly group(P<0.05).The D-dimer level in ARCO stage III and IV patients was higher than that in ARCO stage II patients in the elderly group(P<0.05).The platelet count in ARCO stage IV was lower than that in ARCO stage III patients in the elderly group(P<0.05).(4)Multiple logistic regression analysis showed that total cholesterol and platelet count may be protective factors for course of nontraumatic osteonecrosis of the femoral head,while D-dimer,uric acid,overweight,and young and middle age may be risk factors for course of nontraumatic osteonecrosis of the femoral head.(5)It is indicated that total cholesterol,high-density lipoprotein,uric acid,prothrombin time,prothrombin time International Normalized Ratio,and D-dimer are statistically significant among patients with different ARCO stages.Total cholesterol and platelet count may be protective factors for the course of nontraumatic osteonecrosis of the femoral head,while D-dimer,uric acid,overweight,and middle-aged and young age groups may be hazard factors for the course of nontraumatic osteonecrosis of the femoral head.