Prescription optimization is a crucial aspect in the study of traditional Chinese medicine （TCM） compounds. In recent years， the introduction of mathematical methods， data mining techniques， and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds. The study of TCM compounds involves numerous variables， including the proportions of different herbs， the specific extraction parts of each ingredient， and the interactions among multiple components. These factors together create a complex nonlinear dose-effect relationship. In this context， it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development. This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities. The key technical issues， such as the optimization of source material selection， dosage optimization of compatible herbs， and multi-objective optimization indicators， were discussed. Furthermore， the evaluation methods for component effects were summarized during the optimization process， so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.

The key to improving the cultivation quality of socialist core values in medical colleges and universities， enhancing their dissemination efficiency， consolidating the foundation of medical students’ ideals and beliefs， and uniting the spiritual strength of medical students to serve society and dedicate themselves to the people， lies in integrating the red doctor spirit into the cultivation process of medical students’ socialist core values. Faced with the dilemmas encountered in the cultivation of socialist core values in medical colleges and universities， this paper traced the connection between the red doctor spirit and the socialist core values and reflected on the profound value connotations after the integration of the two， thereby providing theoretical references for finding appropriate cultivation methods and approaches in the future.

Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

ObjectiveThrough multimodal research methods including medication rule mining， network pharmacology， molecular docking and dynamics simulation， and in vivo animal experiments， this study aims to speculate and verify the core composition （Ginseng Radix et Rhizoma Rubra-Salviae Miltiorrhizae Radix et Rhizoma-Notoginseng Radix et Rhizoma） and efficacy （Qi-invigorating and blood-activating） of the drug combination in Yitangkang Compound for improving diabetic cardiomyopathy （DCM）， investigate the interaction relationship and binding strength between core active ingredients of the drug combination and key signaling pathway targets， and further explore the mechanism by which the Qi-invigorating and blood-activating drug combination regulates the calcium signaling pathway to improve cardiac function in DCM rats. MethodsThe Ancient and Modern Medical Cases Cloud Platform was used to construct a DCM prescription database， and the "Analysis Method" module of the platform was applied to mine and summarize medication rules， thereby determining the core composition of the Qi-invigorating and blood-activating drug combination in Yitangkang. Drug-active ingredient-signaling pathway-core target-disease analysis and visualization were conducted by combining network pharmacology with the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， SwissTargetPrediction platform， GeneCards database， MetaScape database， CytoScape software， etc. Then， molecular docking was performed via the CB-Dock2 platform， and molecular dynamics simulation of the high-binding-strength docking complexes was carried out by Gromacs software. Finally， in vivo animal experiments were carried out. Twenty-eight Sprague Dawley （SD） rats meeting the research criteria were divided into a normal group， a model group， a drug combination group （3.3 g·kg^-1）， and a Yitangkang group （20 g·kg^-1）. A type 2 diabetes mellitus （T2DM） rat model was established by high-fat diet feeding combined with intraperitoneal injection of streptozotocin （STZ）， followed by continuous feeding for eight weeks until the DCM model was successfully established. During this period， the traditional Chinese medicine （TCM） compound and drug combination were administered for prevention and treatment intervention. Meanwhile， changes in blood glucose， body weight， and heart index of each group were monitored. Cardiac function was assessed by echocardiography， and electrophysiological signals were detected by an electrocardiogram. The heart tissue was observed for pathological changes by hematoxylin-eosin （HE） and Masson staining， and the expression of L-type calcium channel （CACNA1C）， calmodulin （CALM1）， calcium/calmodulin-dependent protein kinase Ⅱδ （CAMK2D）， and neuronal nitric oxide synthase （NOS1） proteins in the calcium signaling pathway of myocardial tissue was detected by Western blot. ResultsIn 62 DCM prescriptions， Ginseng Radix et Rhizoma Rubra， Salviae Miltiorrhizae Radix et Rhizoma， and Notoginseng Radix et Rhizoma were used most frequently. Their meridian tropism mainly involved the spleen， heart， and lung， and their sweet and warm properties were prominent. The drugs for tonifying or blood-activating and stasis-resolving ranked top. In association rule analysis， （Ginseng Radix et Rhizoma Rubra， Salviae Miltiorrhizae Radix et Rhizoma）-Notoginseng Radix et Rhizoma had the highest lift. Network pharmacology obtained 75 active ingredients of the drug combination， 714 drug combination action targets， 2 702 disease targets， and 286 intersection targets. Protein-protein interaction （PPI） network predicted nine interaction component-targets （nine active ingredients and four calcium signaling pathway target genes）. Molecular docking showed the four complexes with the lowest binding energy were 2f3z-ginsenoside Re， 1cll-quercetin， 9blh-（6S）-6-（hydroxymethyl）-1，6-dimethyl-8，9-dihydro-7H-naphtho［8，7-g］benzofuran-10，11-dione， and 5vv0-miltionone Ⅱ. Dynamics simulation showed the CALM1-quercetin complex had the strongest binding affinity. The animal experiment results revealed that compared with the normal group， the model group showed significant changes in blood glucose， body weight， myocardial tissue morphology， heart index， cardiac function， electrophysiological indexes， and the expression levels of CACNA1C， CALM1， CAMK2D， and NOS1 proteins （P<0.05， P<0.01）. Compared with the model group， the Yitangkang group had a certain improvement effect on the above indexes （P<0.05， P<0.01）. Compared with the Yitangkang group， the drug combination group showed no significant difference in improving myocardial tissue morphology， heart index， cardiac function， electrophysiological indexes， and the expression of CACNA1C， CALM1， CAMK2D， and NOS1 proteins， except for blood glucose and body weight. ConclusionGinseng Radix et Rhizoma Rubra， Salviae Miltiorrhizae Radix et Rhizoma， and Notoginseng Radix et Rhizoma are the core Qi-invigorating and blood-activating drug combination in Yitangkang Compound. They have a good preventive and therapeutic effect on STZ-induced DCM in rats， and their mechanism of action may be related to the regulation of the calcium signaling pathway.

Recent data suggest that vascular endothelial growth factor receptor inhibitor (VEGFRi) can enhance the anti-tumor activity of the anti-programmed cell death-1 (anti-PD-1) antibody in colorectal cancer (CRC) with microsatellite stability (MSS). However, the comparison between this combination and standard third-line VEGFRi treatment is not performed, and reliable biomarkers are still lacking. We retrospectively enrolled MSS CRC patients receiving anti-PD-1 antibody plus VEGFRi (combination group, n=54) or VEGFRi alone (VEGFRi group, n=32), and their efficacy and safety were evaluated. We additionally examined the immune characteristics of the MSS CRC tumor microenvironment (TME) through single-cell and spatial transcriptomic data, and an MSS CRC immune cell-related signature (MCICRS) that can be used to predict the clinical outcomes of MSS CRC patients receiving immunotherapy was developed and validated in our in-house cohort. Compared with VEGFRi alone, the combination of anti-PD-1 antibody and VEGFRi exhibited a prolonged survival benefit (median progression-free survival: 4.4 vs. 2.0 months, P=0.0024; median overall survival: 10.2 vs. 5.2 months, P=0.0038) and a similar adverse event incidence. Through single-cell and spatial transcriptomic analysis, we determined ten MSS CRC-enriched immune cell types and their spatial distribution, including naive CD4⁺ T, regulatory CD4⁺ T, CD4⁺ Th17, exhausted CD8⁺ T, cytotoxic CD8⁺ T, proliferated CD8⁺ T, natural killer (NK) cells, plasma, and classical and intermediate monocytes. Based on a systemic meta-analysis and ten machine learning algorithms, we obtained MCICRS, an independent risk factor for the prognosis of MSS CRC patients. Further analyses demonstrated that the low-MCICRS group presented a higher immune cell infiltration and immune-related pathway activation, and hence a significant relation with the superior efficacy of pan-cancer immunotherapy. More importantly, the predictive value of MCICRS in MSS CRC patients receiving immunotherapy was also validated with an in-house cohort. Anti-PD-1 antibody combined with VEGFRi presented an improved clinical benefit in MSS CRC with manageable toxicity. MCICRS could serve as a robust and promising tool to predict clinical outcomes for individual MSS CRC patients receiving immunotherapy.
Humans ; Colorectal Neoplasms/drug therapy* ; Male ; Female ; Immunotherapy ; Middle Aged ; Aged ; Tumor Microenvironment/immunology* ; Retrospective Studies ; Microsatellite Instability ; Transcriptome ; Single-Cell Analysis ; Programmed Cell Death 1 Receptor/immunology* ; Gene Expression Profiling ; Immune Checkpoint Inhibitors/therapeutic use* ; Adult ; Receptors, Vascular Endothelial Growth Factor/antagonists & inhibitors*

In protein engineering, while computational models are increasingly used to predict mutation effects, their evaluations primarily rely on high-throughput deep mutational scanning (DMS) experiments that use surrogate readouts, which may not adequately capture the complex biochemical properties of interest. Many proteins and their functions cannot be assessed through high-throughput methods due to technical limitations or the nature of the desired properties, and this is particularly true for the real industrial application scenario. Therefore, the desired testing datasets, will be small-size (∼10-100) experimental data for each protein, and involve as many proteins as possible and as many properties as possible, which is, however, lacking. Here, we present VenusMutHub, a comprehensive benchmark study using 905 small-scale experimental datasets curated from published literature and public databases, spanning 527 proteins across diverse functional properties including stability, activity, binding affinity, and selectivity. These datasets feature direct biochemical measurements rather than surrogate readouts, providing a more rigorous assessment of model performance in predicting mutations that affect specific molecular functions. We evaluate 23 computational models across various methodological paradigms, such as sequence-based, structure-informed and evolutionary approaches. This benchmark provides practical guidance for selecting appropriate prediction methods in protein engineering applications where accurate prediction of specific functional properties is crucial.

[Objective]To investigate the effect and mechanism of Shuxuetong and its main component hirudin on the apoptosis of cerebellar granule neurons(CGNs)in Sprague-Dawley(SD)rats.[Methods]CGNs incubated in vitro for 7 days were divided into survival control group or 25 K group(cultured in medium containing 25 mmol/L KCL)and apopto-sis group or 5 K group(cultured in medium containing 5 mmol/L KCL).CGNs were separately treated with proportionally diluted and different concentrations of Shuxuetong(1/50,1/40,1/30,1/20 and 1/10)and the corresponding different con-centrations of hirudin(2,2.5,3.34,5 and 10 U/mL).Hoechst staining was performed to analyze the apoptosis.Western blot was used to detect the expression levels of Cleaved Caspase-3,Bim and VEGF.[Results]Hoechst staining showed that 5 K group had a higher apoptosis rate than 25 K group.In 25 K group,there was no significant change in the apoptosis rate between neurons treated with different concentrations of Shuxuetong and hirudin,but significant changes was found in 5 K group and the higher the concentration,the lower the apoptosis rate.Western blot results revealed that,compared with control neurons in 5 K group,Shuxuetong injection and hirudin treatments resulted in a decrease of Cleaved Caspase-3 and Bim expression,but an increase of VEGF protein.[Conclusions]Shuxuetong and its main component hirudin inhibits the apoptosis of CGNs through suppressing proapoptotic BH3-only protein Bim.

The prognosis of pancreatic cancer is unfavorable. Radical operations remain the sole potential cure method, but early vascular invasion is a significant limiting factor for successful resection. For patients with borderline resectable and locally advanced pancreatic cancer, a radical operation combining vascular resection can enhance the rate of negative surgical margins and improve survival outcomes. Currently, the guidelines recommend venectomy while the arterial treatment is still controversial. This article discusses the contemporary concerns regarding vascular invasion in pancreatic surgery and the corresponding strategies for treatment.

Objective:To determine the safety and efficacy of sandwich surgery in minimally invasive orthopedic surgery.Methods:A retrospective analysis was performed on 79 pectus carinatum patients undergoing minimally invasive orthopedic surgery admitted to the Department of Thoracic Surgery, Beijing Children's Hospital from July 2016 to July 2018, including 53 cases in the Abramson surgery group and 26 cases in the sandwich surgery group.Results:79 cases successfully completed the operation, the difference in complication rate between the two groups was not statistically significant. All cases were followed up to two years after bar removal, and no recurrence during the follow-up period. The excellent rate of orthopedic effect in sandwich surgery group was higher than that in Abramson surgery group.Conclusion:Sandwich surgery is safe, feasible and can achieve satisfactory postoperative results. It can be used as a surgical option for the treatment of pectus carinatum with depression or depression after orthosis.

Objective:The thickness of subcutaneous fat of the chest wall treated with vacuum bell can cover up the true depression in patients with pectus excavatum, when measured only from the body surface. The purpose of this study was to investigate the impact of this thickness of fat on treatment evaluation.Methods:Patients treated with vacuum bell from January to June 2022 in our center were retrospectively analyzed. The Haller index(HI), anterior chest wall fat thickness(A), lateral chest wall fat thickness(L), depth of body surface depression(SD), and depth of bone depression(BD) were measured by CT at the beginning of treatment and 1 year after treatment. The influence rate of vacuum bell was calculated by measuring the change of fat thickness before and after treatment to reflect the influence of vacuum bell on the growth of fat.Results:A total of 41 patients were enrolled, with a median age of 6.4 years old(1-14 years old). The mean HI before and after treatment was 3.6±0.7 and 3.2±0.5, and the Haller index of 10 cases was still aggravated after treatment, and the effective rate of real suction cup treatment was 75.6%. The subcutaneous fat of the anterior chest wall was thickened in 95.1%(39 cases) patients, and A before and after treatment was(4.0±1.9)mm and(7.5±3.2)mm respectively. The average influence rate of vacuum bell was 100%(33%-267%). The mean improvement of BD and SD before and after treatment was(1.7±3.9)mm and(4.0±3.3)mm respectively.Conclusion:The use of vacuum bell will thicken the fat of chest wall, and only evaluating by measuring the body surface will cover up the true depression. Compared to the lift of the sternum and ribs, the increase of the fat in depression area will give an additional improvement in appearance.