Houpo Sanwutang， included in the Catalogue of Ancient Classical Prescriptions （Second Batch）， was first recorded in the Synopsis of Golden Chamber written by ZHANG Zhongjing from the Eastern Han dynasty and was modified by successive generations of medical experts. A total of 37 pieces of effective data involving 37 ancient Chinese medical books were retrieved from different databases. Through literature mining， statistical analysis， and data processing， combined with modern articles， this study employed bibliometrics to investigate the historical origin， composition， decoction methods， clinical application， and other key information. The results showed that the medicinal origin of Houpo Sanwutang was clearly documented in classic books. Based on the conversion of the measurements from the Han Dynasty， it is recommended that 110.4 g Magnolia Officinalis Cortex， 55.2 g Rhei Radix et Rhizoma， and 72 g Aurantii Fructus Immaturus should be taken. Magnolia Officinalis Cortex and Aurantii Fructus Immaturus should be decocted with 2 400 mL water first， and 1 000 mL should be taken from the decocted liquid. Following this， Rhei Radix et Rhizoma should be added for further decoction， and then 600 mL should be taken from the decocted liquid. A single dose of administration is 200 mL， and the medication can be stopped when patients restore smooth bowel movement. Houpo Sanwutang has the effect of moving Qi， relieving stuffiness and fullness， removing food stagnation， and regulating bowels. It can be used in treating abdominal distending pain， guarding， constipation， and other diseases with the pathogenesis of stagnated heat and stagnated Qi in the stomach. The above results provide reference for the future development and research of Houpo Sanwutang.

The pharmaceutical industry faces challenges in quality digitization for complex multi-stage processes, especially in small-sample systems. Here, an intelligent quality prediction and diagnostic (IQPD) framework was developed and applied to Tong Ren Tang's Niuhuang Qingxin Pills, utilizing four years of data collected from four production units, covering the entire process from raw materials to finished products. In this framework, a novel path-enhanced double ensemble quality prediction model (PeDGAT) is proposed, which combines a graph attention network and path information to encode inter-unit long-range and sequential dependencies. Additionally, the double ensemble strategy enhances model stability in small samples. Compared to global traditional models, PeDGAT achieves state-of-the-art results, with an average improvement of 13.18% and 87.67% in prediction accuracy and stability on three indicators. Additionally, a more in-depth diagnostic model leveraging grey correlation analysis and expert knowledge reduces reliance on large samples, offering a panoramic view of attribute relationships across units and improving process transparency. Finally, the IQPD framework integrates into a Human-Cyber-Physical system, enabling faster decision-making and real-time quality adjustments for Tong Ren Tang's Niuhuang Qingxin Pills, a product with annual sales exceeding 100 million CNY. This facilitates the transition from experience-driven to data-driven manufacturing.

Objective:To investigate the effect of DExH-box helicase 9(DHX9)O-linked N-acetylglucosamine(O-GlcNAc)modifi-cation(O-GlcNAcylation)on the proliferation of hepatitis B virus(HBV)-associated hepatoma cells.Methods:The pAdTrack-TO4-DHX9-3Flag recombinant adenovirus plasmid was constructed by molecular cloning and transfected into HEK293 cells for packaging and amplification of the recombinant adenovirus AdDHX9.The interaction between DHX9 and O-GlcNAc transferase(OGT)was con-firmed using co-immunoprecipitation.The co-localization between DHX9 and OGT was measured by immunofluorescence.The level of DHX9 O-GlcNAcylation was determined using succinylated wheat germ agglutinin(sWGA)and glycosylated immunoprecipitation(IP).The effect of DHX9 O-GlcNAcylation on the proliferation of HBV-associated hepatoma cells was assessed using the colony-forming assay and cell growth curves.Results:The recombinant adenovirus AdDHX9 was successfully obtained,and DHX9 expression was confirmed by Western blot.DHX9 interacted with OGT,and the two proteins were co-localized on the nucleus.The sWGA and gly-cosylated IP experiments showed that DHX9 underwent O-GlcNAcylation,which was further enhanced by HBV infection.The colony-forming assay demonstrated that the number of cell clones was increased in the AdDHX9 group(386.667±15.630)compared with the AdGFP control group(142.667±7.572,P<0.001).Moreover,cell growth curves demonstrated that the overall cell growth rate was en-hanced in the AdDHX9 group(22.860±0.770)compared with the AdGFP control group(13.670±0.517,P<0.001).Conclusion:HBV infection promotes DHX9 O-GlcNAcylation,which enhances the proliferation of HBV-associated hepatoma cells.

Objective:To construct univariate and multivariate relapse free survival (RFS) prediction models for breast cancer patients with diabetes mellitus type 2 (T2DM) and to compare and select the model with higher predictive performance.Methods:A total of 912 breast cancer patients treated at the First Affiliated Hospital of Dalian Medical University from January 2010 to December 2016 were included, of which 202 patients had T2DM and 710 patients did not. Kaplan-Meier survival curve was drawn based on whether patients had T2DM, and log-rank test was performed based on whether patients had T2DM. All patients were randomly divided into a training set ( n=640) and a validation set ( n=272) at a ratio of 7∶3. Univariate and multivariate Cox proportional risk regression models were used to analyze RFS in breast cancer patients with the survival package. The "rms" package was employed to construct univariate and multivariate RFS prediction models for breast cancer patients with T2DM. Clinical decision curves and calibration curves were used to validate the models. The receiver operator characteristic (ROC) curve was used to compare and analyze the prediction performance of the two models. Results:There were no statistically significant differences between the training set and the validation set patients in terms of age, T2DM, surgical approach, axillary management methods, T stage, N stage, molecular sub-type, estrogen receptor (ER) 1, ER2, progesterone receptor (PR) , ER and PR consistency, Ki67, human epidermal growth factor receptor 2 (HER2) (all P>0.05) . There was a statistically significant difference in histological grade ( χ2=7.59, P=0.022) . Survival analysis showed that the 5-year RFS rate was 83.7% in patients with T2DM and 92.3% in patients without T2DM ( χ2=16.61, P<0.001) . Univariate analysis revealed that age ( HR=1.04, 95% CI: 1.03-1.06, P<0.001) , T2DM ( HR=2.31, 95% CI: 1.49-3.55, P<0.001) , surgical approach ( HR=2.39, 95% CI: 1.20-4.77, P=0.013) , axillary management methods ( HR=2.62, 95% CI: 1.72-3.98, P<0.001) , T stage (T 2: HR=2.13, 95% CI: 1.36-3.31, P<0.001; T 3: HR=6.90, 95% CI: 3.35-14.22, P<0.001) , N stage (N 2: HR=3.87, 95% CI: 2.12-7.07, P<0.001; N 3: HR=8.61, 95% CI: 4.71-15.75, P<0.001) , molecular sub-type (Luminal B: HR=2.74, 95% CI: 1.17-6.36, P=0.019; HER2 +: HR=3.64, 95% CI: 1.38-9.58, P=0.009; TNBC: HR=4.40, 95% CI: 1.71-11.34, P=0.002) , ER1 (>10%: HR=0.57, 95% CI: 0.37-0.90, P=0.016) , ER2 ( HR=0.57, 95% CI: 0.37-0.89, P=0.015) , and PR ( HR=0.56, 95% CI: 0.37-0.86, P=0.008) were all factors influencing RFS in breast cancer patients. Multivariate analysis demonstrated that age ( HR=1.04, 95% CI: 1.02-1.06, P<0.001) , T2DM ( HR=1.82, 95% CI: 1.16-2.85, P=0.009) , T stage (T 2: HR=1.60, 95% CI: 1.01-2.54, P=0.046; T 3: HR=2.64, 95% CI: 1.22-5.72, P=0.014) , N stage (N 2: HR=3.72, 95% CI: 2.01-6.88, P<0.001; N 3: HR=5.34, 95% CI: 2.78-10.25, P<0.001) , and ER1 (>10%: HR=0.63, 95% CI: 0.39-0.99, P=0.046) were independent factors influencing RFS in breast cancer patients. Based on the 10 and 5 variables with P<0.05 in the univariate and multivariate analyses respectively, the nomograms of the univariate and multivariate prediction models were constructed to evaluate the influence of factors such as T2DM on the postoperative RFS of breast cancer patients. Clinical decision curves and calibration curves indicated that both models had high predictive value for RFS in breast cancer patients, and the predictive results were highly consistent with the actual observed results. ROC curve analysis showed that there was no statistically significant difference in the area under the curve (AUC) of the two models for predicting the RFS rates of breast cancer patients in the training set and validation set at 36, 60, and 84 months (all P>0.05) , indicating that the predictive efficacy of the two models was comparable. The multivariate model is more suitable for clinical application because it uses fewer variables. Conclusions:Breast cancer patients with T2DM have poorer prognosis. Age, T2DM, T stage, N stage, and ER1 are independent factors influencing postoperative RFS in breast cancer patients. The multi-factor prediction model of RFS in breast cancer patients based on T2DM is more suitable for clinical application due to its higher predictive efficacy and fewer variables.

The scientific interpretation of the theory of medicinal properties of TCM is a research hotspot in the modernization of TCM. It is of great value to clarify the property and degree of cold and heat in Chinese materia medica for guiding clinical precise medication. In recent years, the research on the cold and heat properties of Chinese materia medica has been carried out at the animal, cell and molecular levels. Based on the objective material basis of medicinal properties, from the perspective of biological effects such as thermodynamics and multiomics; with the help of infrared thermal imaging and other technologies for analysis; forming a variety of research models such as "property-structure relationship". Related research has developed from a single material component or index to a new model that tends to integrate multi-source information and multi-dimensional data. However, how to deal with the problems of large sample size, strong redundancy, high heterogeneity, and how to integrate multi-dimensional information are still research difficulties. With its powerful computing and learning ability, machine learning can show good discrimination and prediction ability in the study of cold and hot properties of Chinese materia medica, and play an important role in the study of cold and hot properties of Chinese materia medica. At present, the most widely used algorithms are linear discriminant analysis, Logistic discriminant analysis, support vector machine, decision tree, random forest and so on. The data dimension of the existing research needs to be enriched, the algorithm has room for further optimization, and a more detailed discriminant model of cold and hot properties of Chinese materia medica needs to be established.

Objective To investigate the diagnosis and treatment strategy of the portal vein complications in children undergoing split liver transplantation. Methods The clinical data of 88 pediatric recipients who underwent split liver transplantation were retrospectively analyzed. Intraoperative anastomosis at the bifurcating site of the portal vein or donor iliac vein bypass anastomosis was performed depending on the internal diameter and development of the recipient's portal vein. A normalized portal venous blood stream monitoring was performed during the perioperative stage. After operation, heparin sodium was used to bridge warfarin for anticoagulation therapy. After portal vein stenosis or thrombosis was identified with enhanced CT or portography, managements including embolectomy, systemic anticoagulation, interventional thrombus removal, balloon dilatation and/or stenting were performed. Results Among the 88 recipients, a total of 10 children were diagnosed with portal vein complications, of which 4 cases were diagnosed with portal vein stenosis at 1 d, 2 months, 8 months, and 11 months after surgery, and 6 cases were diagnosed with portal vein thrombosis at intraoperative, 2 d, 3 d (n=2), 6 d, and 11 months after surgery, respectively. One patient with portal vein stenosis and one patient with portal vein thrombosis died perioperatively. The fatality related to portal vein complications was 2% (2/88). Of the remaining 8 patients, 1 underwent systemic anticoagulation, 2 underwent portal venous embolectomy, 1 underwent interventional balloon dilatation, and 4 underwent interventional balloon dilatation plus stenting. No portal venous related symptoms were detected during postoperative long term follow up, and the retested portal venous blood stream parameters were normal. Conclusions The normalized intra- and post-operative portal venous blood stream monitoring is a useful tool for the early detection of portal vein complications, the early utilization of useful managements such as intraoperative portal venous embolectomy, interventional balloon dilatation and stenting may effectively treat the portal vein complications, thus minimizing the portal vein complication related graft loss and recipient death.

Child ; Humans ; Granulomatous Disease, Chronic/complications* ; Pneumonia

Objective: To observe the effects of Danggui Shaoyao powder (DSP) on hepatic lipid metabolism and further explore its mechanism of action by peroxisome proliferator-activated receptor (PPARγ)-liver X receptor (LXRα)-adenosine triphosphate (ATP)-binding cassette transporter A1 (ABCA1) pathway regulation. Methods: Eight C57BL/6J male mice were selected as the control group, and 24 ApoE−/− male mice were randomly divided into the atherosclerosis model (AS) group, atorvastatin calcium (AC) group, and DSP group (n = 8 each group). To establish an AS model, ApoE−/− mice were fed a high-fat diet for 16 weeks. Pathologic changes in the aortic vasculature and liver were identified using Oil Red O staining. Triglyceride (TG), cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) levels were determined in the livers using a single-reagent GPO-PAP method. Fluorescence quantitative polymerase chain reaction and western blot were used to observe and evaluate the mRNA and protein expression of the PPARγ-LXRα-ABCA1 intermediates in the liver. Results: After 16 weeks of a high-fat diet, ApoE−/− mice showed more Oil Red O staining in the aorta and liver compared to the CONT group. Compared to the AS group, the DSP and AC treatment reduced aortic plaque and hepatic lipid deposition to varying degrees. Furthermore, DSP significantly reduced the hepatic lipid area in ApoE−/− mice (P < .001) and decreased the levels of TG, TC, and LDL-C in liver (P < .001, P = .027, P < .001, respectively). DSP also significantly increased the levels of PPARγ, LXRα, ABCA1, and ABCG1 mRNA expression, as well as the PPARγ, LXRα, ABCA1, and ABCG1 protein expression in liver. Conclusion DSP improved hepatic lipid metabolism via PPARγ-LXRα-ABCA1 pathway modulation for AS treatment.

Objective:To investigate the safety and therapeutic effect of split liver transplantation (SLT) in clinical application.Methods:This is a retrospective case-series study. The clinical data of 203 consecutive SLT, 79 living donor liver transplantation (LDLT) and 1 298 whole liver transplantation (WLT) performed at the Third Affiliated Hospital of Sun Yat-sen University from July 2014 to July 2023 were retrospectively analyzed. Two hundred and three SLT liver grafts were obtained from 109 donors. One hundred and twenty-seven grafts were generated by in vitro splitting and 76 grafts were generated by in vivo splitting. There were 90 adult recipients and 113 pediatric recipients. According to time, SLT patients were divided into two groups: the early SLT group (40 cases, from July 2014 to December 2017) and the mature SLT technology group (163 cases, from January 2018 to July 2023). The survival of each group was analyzed and the main factors affecting the survival rate of SLT were analyzed. The Kaplan-Meier method and Log-rank test were used for survival analysis.Results:The cumulative survival rates at 1-, 3-, and 5-year were 74.58%, 71.47%, and 71.47% in the early SLT group, and 88.03%, 87.23%, and 87.23% in the mature SLT group, respectively. Survival rates in the mature SLT group were significantly higher than those in the early SLT group ( χ2=5.560, P=0.018). The cumulative survival rates at 1-, 3- and 5-year were 93.41%, 93.41%, 89.95% in the LDLT group and 87.38%, 81.98%, 77.04% in the WLT group, respectively. There was no significant difference among the mature SLT group, the LDLT group and the WLT group ( χ2=4.016, P=0.134). Abdominal hemorrhage, infection, primary liver graft nonfunction,and portal vein thrombosis were the main causes of early postoperative death. Conclusion:SLT can achieve results comparable to those of WLT and LDLT in mature technology liver transplant centers, but it needs to go through a certain time learning curve.

Objective:To investigate the expression of signal recognition particle 14(SRP14)in hepatocellular carcinoma(HCC)and its clinical significance.Methods:The data of SRP14 expression in HCC were obtained from bioinformatics study,and from investigation with quantitative reverse transcription polymerase chain reaction(qRT-PCR),immunohistochemical staining and Western blotting in clinical samples.The Kaplan-Meier analysis was used to determine the associations between SRP14 mRNA expression and the overall survival,progression-free survival,and disease-specific survival of HCC patients.The effect of SRP14 on the proliferation and migration of HCC cells were determined by EdU staining,MTS,Transwell and wound-healing assays.The potential mechanism for SRP14 regulating HCC was explored through Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analysis as well as qRT-PCR.Results:According to the data from GSE14520,TNMplot database and clinical samples,compared with paired tumor-adjacent tissues,non-paired tumor-adjacent tissues and normal tissues,the mRNA expression of SPR14 in HCC tissues was upregulated(all P<0.05).In clinical samples,compared with paired tumor-adjacent tissues,the protein expression of SPR14 in HCC tissues was increased(P<0.05).The increased mRNA expression of SRP14 was associated with good overall survival,progression-free survival,and disease-specific survival in HCC patients.SRP14 inhibited the proliferation and migration of HCC cells in vitro.According to the KEGG and GO enrichment analysis,in non-specific HCC,the genes co-expressed with SRP14 may predominantly regulate protein synthesis,processing,and transport,while in nonalcoholic fatty liver disease related HCC,the genes co-expressed with SRP14 could control multiple signaling pathways such as MAPK,cAMP,PI3K-Akt,and Wnt.Mechanistically,SRP14 up-regulated the mRNA expression of tumor suppressor gene GPRC5A in HCC cells(P<0.05).Conclusion:SRP14 may regulate HCC progression and influence patient prognosis.