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.

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.

Background::Growth retardation is a common complication of chronic kidney disease in children, which can be partially relieved after renal transplantation. This study aimed to develop and validate a predictive model for growth patterns of children with end-stage renal disease (ESRD) after kidney transplantation using machine learning algorithms based on genomic and clinical variables.Methods::A retrospective cohort of 110 children who received kidney transplants between May 2013 and September 2021 at the First Affiliated Hospital of Zhengzhou University were recruited for whole-exome sequencing (WES), and another 39 children who underwent transplant from October 2021 to March 2022 were enrolled for external validation. Based on previous studies, we comprehensively collected 729 height-related single-nucleotide polymorphisms (SNPs) in exon regions. Seven machine learning algorithms and 10-fold cross-validation analysis were employed for model construction.Results::The 110 children were divided into two groups according to change in height-for-age Z-score. After univariate analysis, age and 19 SNPs were incorporated into the model and validated. The random forest model showed the best prediction efficacy with an accuracy of 0.8125 and an area under curve (AUC) of 0.924, and also performed well in the external validation cohort (accuracy, 0.7949; AUC, 0.796). Conclusions::A model with good performance for predicting post-transplant growth patterns in children based on SNPs and clinical variables was constructed and validated using machine learning algorithms. The model is expected to guide clinicians in the management of children after renal transplantation, including the use of growth hormone, glucocorticoid withdrawal, and nutritional supplementation, to alleviate growth retardation in children with ESRD.

Peritoneal metastasis in gastric cancer is associated with rapid disease progression. Hyperthermic intraoperative peritoneal chemotherapy (HIPEC) done immediately after cytoreductive surgery (CRS) has become an important treatment for peritoneal metastasis in gastric cancer patients. However, different treatment options for HIPEC exist with potential influence on survival rates and prognosis in patients, exist. These treatment options include open or closed abdomen technique, perfusion solution, number of catheters, temperature, duration, and drug regimens. This paper aims to provide more evidence on standardization of HIPEC treatment options and technologies by systematically reviewing different drug regimens and technical approaches. The study included 2 randomized controlled trials, 3 phase I/II clinical trials, 2 prospective cohort studies, and 34 retrospective cohort studies, involving 1511 patients. The most common HIPEC option is to dissolve 50-75 mg/m 2 of Cisplatin and 30-40 mg/m 2 of Mitomycin C in 3-4 L saline solution at 42-43℃. After gastrointestinal anastomosis, 2-3 catheters are used in the HIPEC system with a perfusion flow rate of 500 ml/min. The duration is 60-90 minutes. Anastomotic leakage was low in studies where HIPEC was performed after gastrointestinal anastomosis. The utilization of open HIPEC and a two-drug regimen resulted in improved overall survival rates. The future development of HIPEC aims to enhance tumor-specific therapy by optimizing various aspects, such as identifying the safest and most effective chemotherapy regimens, refining patient selection criteria, and improving perioperative care.

Peritoneal metastasis in gastric cancer is associated with rapid disease progression. Hyperthermic intraoperative peritoneal chemotherapy (HIPEC) done immediately after cytoreductive surgery (CRS) has become an important treatment for peritoneal metastasis in gastric cancer patients. However, different treatment options for HIPEC exist with potential influence on survival rates and prognosis in patients, exist. These treatment options include open or closed abdomen technique, perfusion solution, number of catheters, temperature, duration, and drug regimens. This paper aims to provide more evidence on standardization of HIPEC treatment options and technologies by systematically reviewing different drug regimens and technical approaches. The study included 2 randomized controlled trials, 3 phase I/II clinical trials, 2 prospective cohort studies, and 34 retrospective cohort studies, involving 1511 patients. The most common HIPEC option is to dissolve 50-75 mg/m 2 of Cisplatin and 30-40 mg/m 2 of Mitomycin C in 3-4 L saline solution at 42-43℃. After gastrointestinal anastomosis, 2-3 catheters are used in the HIPEC system with a perfusion flow rate of 500 ml/min. The duration is 60-90 minutes. Anastomotic leakage was low in studies where HIPEC was performed after gastrointestinal anastomosis. The utilization of open HIPEC and a two-drug regimen resulted in improved overall survival rates. The future development of HIPEC aims to enhance tumor-specific therapy by optimizing various aspects, such as identifying the safest and most effective chemotherapy regimens, refining patient selection criteria, and improving perioperative care.

Objective:To investigate the incidence of venous thromboembolism (VTE) in patients with esophageal cancer (EC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 8 458 EC patients who were admitted to Sichuan Cancer Hospital from January 2017 to December 2021 were collected. There were 6 923 males and 1 535 females, aged (64±9)years. There were 3 187 patients undergoing surgical treatment, and 5 271 cases undergoing non-surgical treatment. Observation indicators: (1) incidence of VTE in EC patients; (2) treatment and outcomes of patients with VTE. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was analyzed using the nonparameter rank sum test. Count data were expressed as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Comparison of ordinal data was analyzed using the nonparameter rank sum test. Results:(1) Incidence of VTE in EC patients. Of 8 458 EC patients, 175 cases developed VTE, with an incidence rate of 2.069%(175/8 458). Among 175 VTE patients, there were 164 cases of deep venous thrombosis (DVT), 4 cases of pulmonary embolism (PE), 7 cases of DVT and PE. There were 59 surgical patients and 116 non-surgical patients. There was no significant difference in thrombus type between surgical and non-surgical EC patients with VTE ( χ2=1.95, P>0.05). Of 3 187 surgical patients, the incidence of VTE was 1.851%(59/3 187), including an incidence of 0.157%(5/3 187) of PE. PE accounted for 8.475%(5/59) of surgical patients with VTE. Of 5 271 non-surgical patients, the incidence of VTE was 2.201%(116/5 271), including an incidence of 0.114%(6/5 271) of PE. PE accounted for 5.172%(6/116) of non-surgical patients with VTE. There was no significant difference in the incidence of VTE or PE between surgical patients and non-surgical patients ( χ2=1.20, 0.05, P>0.05). (2) Treatment and outcomes of patients with VTE. Among 175 EC patients with VTE, 163 cases underwent drug treatment, and 12 cases did not receive treatment. Among 163 cases with drug therapy, 158 cases underwent anticoagulant therapy, 5 cases were treated with thrombolysis. All the 163 patients were improved and discharged from hospital. Conclusions:The incidence of VTE in patients with EC is relatively low, as 2.069%. There is no significant difference in the incidence of VTE or thrombus type between surgical EC patients and non-surgical EC patients.

Objective:We aimed to develop a novel visualized model based on nomogram to predict postoperative overall survival.Methods:This was a multicenter, retrospective, observational cohort study, including participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery from 11 medical centers in China from August 1, 2015 to June 30, 2018. Baseline characteristics, histopathological data and nutritional status, as assessed using Nutrition Risk Screening 2002 (NRS 2002) score and the scored Patient-Generated Subjective Global Assessment, were collected. The least absolute shrinkage and selection operator regression and Cox regression were used to identify variables to be included in the predictive model. Internal and external validations were performed.Results:There were 681 and 127 patients in the training and validation cohorts, respectively. A total of 188 deaths were observed over a median follow-up period of 59 (range: 58 to 60) months. Two independent predictors of NRS 2002 and Tumor-Node-Metastasis (TNM) stage were identified and incorporated into the prediction nomogram model together with the factor of age. The model's concordance index for 1-, 3- and 5-year overall survival was 0.696, 0.724, and 0.738 in the training cohort and 0.801, 0.812, and 0.793 in the validation cohort, respectively.Conclusions:In this study, a new nomogram prediction model based on NRS 2002 score was developed and validated for predicting the overall postoperative survival of patients with gastric colorectal cancer. This model has good differentiation, calibration and clinical practicability in predicting the long-term survival rate of patients with gastrointestinal cancer after radical surgery.

Objective:To explore the relationship between atherosclerotic index of plasma(AIP)and vulnerable plaque of coronary under computed tomography(CT)based on coronary CT angiography(CCTA).Methods:Data were retrospectively collected on 213 patients with coronary heart disease(CHD)who underwent CCTA examination from January 2021 to February 2024 at the Second Affiliated Hospital of Shenyang Medical College,and they were divided into a vulnerable plaque group(123 cases)and a non-vulnerable plaque group(90 cases)according to whether existed vulnerable plaque of coronary artery.General clinical data such as age,gender,history of smoking,history of alcohol consumption,history of diabetes,and serum indicators such as AIP were collected.The differences in AIP and other factors between the two groups were compared.The independent influencing factors of vulnerable plaque of coronary artery were determined by multifactorial logistic regression analysis,and the predictive value of AIP for vulnerable plaque was assessed by drawing a receiver operating characteristic(ROC)curve.Results:AIP of vulnerable plaque group was 0.22±0.31,which was higher than that 0.05±0.27 of the vulnerable plaque group,and the difference of AIP between two groups was significant(t=4.223,P<0.001).Multifactorial logistic analysis showed there was independent correlation between AIP and vulnerable plaque under CT(OR=7.556,95%CI:2.442～23.385,P=0.002).The ROC curve showed that the best cut-off value of AIP was 0.20 in predicting vulnerable plaque under CT,and the value of area under curve(AUC)was 0.665,and the sensitivity was 55.56%and the specificity was 73.98%.Conclusion:AIP is an independent influencing factor for CHD patients who complicate vulnerable plaques,and it has a certain of predictive value for vulnerable plaques.

Malignant tumors of digestive system are highly prevalent malignant tumors that seriously threaten human health around the world. At present, the curative efficacy and prognosis of traditional treatment methods cannot reach the expectation, so it is urgent to find new targets for cancer treatment and realize targeted therapy for tumors. Abnormal energy metabolism in tumor cells is regarded as a hallmark of cancer, and malignant tumor cells absorb glucose through aerobic glycolysis pathway, and obtain a small amount of energy and produce lactate under the catalysis of a series of enzymes. Lactate dehydrogenase A (Lactate dehydrogenase A, LDHA), as a key enzyme in the aerobic glycolysis pathway of tumor cells, plays an important role in the metabolic changes of tumor cells. Studies have demonstrated that LDHA has high expression characteristics in a variety of tumor cells,and its high expression in clinic is often related to the poor prognosis and high metastasis rate of tumors, which is expected to be a new target for cancer therapy. This article reviews the role of LDHA in the development of digestive system tumors and the research progress of related drugs.

Objective:To investigate the clinical characteristics, treatment and prognosis of congenital pulmonary airway malformation (CPAM) complicated with chronic pulmonary aspergillosis (CPA) in children.Methods:The clinical manifestation, laboratory test, radiological feature, treatment and prognosis of 4 pediatric patients diagnosis of CPAM with CPA ascertained between March 2016 and April 2020 at the Department of No.2 Respiratory Medicine and Thoracic Surgery of Beijing Children′s Hospital were retrospectively analyzed.Results:The 4 children included 2 males and 2 females, their age ranged from 9.9 to 13.6 years. Cough presented in 3 cases, hemoptysis in 2 cases, whereas in 1 case, pneumothorax was the first manifestation of the condition. Past history revealed multiple hospital admissions for pneumonia in 2 children and 1 with more than 2 episodes of wheezing. Aspergillus IgG was positive in 3 patients. Significantly elevated total IgE and fumigatus-specific IgE levels were noted in 2 children. CT demonstrated multiple cystic lesions, and fungal balls were seen in 2 children. They all underwent lobectomy and the lung tissue from the 4 children all demonstrated CPAM with Aspergillus infection. Aspergillus fumigatus was isolated from the abscess collected during operation in 1 patient. Postoperative, voriconazole was given in 3 children for 8 weeks, recurrence was observed in 2 children with characteristics of allergic bronchopulmonary aspergillosis. Voriconazole was given in one patient for 12 weeks with no recurrence.Conclusions:CPAM might be complicated with CPA,if there are hemoptysis, and fungal ball in chest CT, cautious preoperative examinations for microorganism are necessary. The necessity and duration of postoperative antifungal therapy need to be determined on individual basis.