Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Fermented traditional Chinese medicine(TCM) has a long history of medicinal use, such as Sojae Semen Praeparatum, Arisaema Cum Bile, Pinelliae Rhizoma Fermentata, red yeast rice, and Jianqu. Fermentation technology was recorded in the earliest TCM work, Shen Nong's Classic of the Materia Medica. Microorganisms are essential components of the fermentation process. However, the contamination of fermented TCM by toxigenic fungi and mycotoxins due to unstandardized fermentation processes seriously affects the quality of TCM and poses a threat to the life and health of consumers. In this paper, the characteristics, microbial composition, and mycotoxin profile of fermented TCM are systematically summarized to provide a theoretical basis for its quality and safety control.
Fermentation ; Mycotoxins/analysis* ; Drugs, Chinese Herbal/analysis* ; Fungi/classification* ; Bacteria/genetics* ; Drug Contamination ; Medicine, Chinese Traditional

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

OBJECTIVES: To investigate the predictive factors for plastic bronchitis (PB) in children with Mycoplasma pneumoniae pneumonia (MPP) and to establish a nomogram prediction model for PB occurrence. METHODS: A retrospective analysis was conducted on children with MPP hospitalized at The Affiliated Hospital of Xuzhou Medical University from January 2023 to June 2024. The patients were randomly divided into a training set (n=562) and a validation set (n=240) at a ratio of 7:3 using simple random sampling. In the training set, patients were categorized into a PB group (n=70) and a non-PB group (n=492) based on the occurrence of PB. Spearman correlation analysis was performed to exclude collinearity among variables, followed by univariate analysis and LASSO regression to identify predictive factors. A nomogram prediction model for PB in children with MPP was constructed. The discriminative ability of the model was assessed using receiver operating characteristic (ROC) curve analysis, model calibration was evaluated with calibration curves, and clinical utility was appraised through decision curve analysis. RESULTS: Compared with the non-PB group, the PB group exhibited significantly longer disease duration prior to bronchoscopy, prolonged fever duration, higher fever peaks, higher proportions of patients with a family history of allergy and personal allergy history, and a higher proportion of patients with pleural effusion, as well as significantly elevated levels of white blood cell count, neutrophil percentage, C-reactive protein, procalcitonin, fibrinogen, D-dimer, aspartate aminotransferase, alanine aminotransferase, creatine kinase, lactate dehydrogenase, immunoglobulin A, and interleukin-6, along with a significantly lower lymphocyte percentage (all P<0.05). LASSO regression analysis identified pleural effusion, procalcitonin, D-dimer, and lactate dehydrogenase as major predictive factors for PB occurrence in children with MPP. The nomogram model based on these factors demonstrated good discriminative ability (area under the ROC curve: 0.852 in the training set and 0.830 in the validation set), with satisfactory calibration and clinical benefit. CONCLUSIONS The nomogram prediction model based on pleural effusion, procalcitonin, D-dimer, and lactate dehydrogenase provides effective predictive performance for the occurrence of PB in children with MPP.
Humans ; Pneumonia, Mycoplasma/complications* ; Nomograms ; Male ; Female ; Child ; Child, Preschool ; Retrospective Studies ; Bronchitis/etiology* ; Infant ; ROC Curve ; Adolescent

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

ObjectiveTo explore and verify the key pathway of Zuogui Jiangtang Jieyu prescription in the treatment of diabetes with depression by means of gene set enrichment analysis （GSEA） and short time-series expression miner （STEM）. MethodSD rats were randomly divided into six groups， including a normal group， a model group， high， medium， and low dose groups of Zuogui Jiangtang Jieyu prescription， and a positive drug group. The model of diabetes with depression was established by high-fat feeding， streptozotocin （STZ） injection， and chronic mild unpredictable stress. The high， medium， and low dose groups of Zuogui Jiangtang Jieyu prescription were orally administered at 20.52， 10.26， and 5.13 g·kg^-1 respectively. The positive drug group was orally administered 0.18 g·kg^-1 metformin and 1.8 g·kg^-1 fluoxetine. The rats in the normal group and model group were administered with an equal volume of distilled water. After 28 days， the animals were tested for depressive-like behaviors and cognitive function using the forced swimming test and Morris water maze. Fasting blood glucose was measured using blood glucose test strips. Cholesterol and triglyceride levels were measured using enzyme-linked immunosorbent assay （ELISA）. Three hippocampus samples were randomly selected from the normal group， the model group， the high dose group of Zuogui Jiangtang Jieyu prescription for high-throughput transcriptome sequencing. Differential gene analysis， GSEA analysis， and STEM analysis were used to screen the key pathways and target genes of Zuogui Jiangtang Jieyu prescription in the treatment of diabetes with depression. Key target genes were validated using real-time fluorescence quantitative PCR （Real-time PCR）. The expression of the signal protein mediated by the target genes was detected by Western blot. ResultCompared with the results in the normal group， the fasting blood glucose， cholesterol， and triglyceride levels in the model group were significantly increased （P<0.01）. Moreover， the immobility time in the forced swimming test was significantly increased， while the time to climb the platform was significantly prolonged， and the search distance in the target quadrant was significantly reduced in the Morris water maze test （P<0.05，P<0.01）. Compared with the model group， the high dose of Zuogui Jiangtang Jieyu prescription significantly reduced the levels of blood glucose， cholesterol， and triglycerides in rats with diabetes with depression （P<0.05，P<0.01）， reduced the immobility time in the forced swimming test， shortened the stage time in the Morris water maze test， and increased the search distance ratio in the target area （P<0.05，P<0.01）. Transcriptome sequencing differential analysis showed that the normal group had 1 366 differentially expressed genes compared to the model group， while the model group had 1 149 differentially expressed genes compared to the high dose group of Zuogui Jiangtang Jieyu prescription， with 581 intersecting genes. The GSEA results showed that there were 9 sets of differentially expressed genes between the normal group and the model group， and 43 sets of differentially expressed genes between the model group and the high dose group of Zuogui Jiangtang Jieyu prescription， with 7 intersecting gene sets. STEM analysis showed that according to the analysis order of the normal group， model group， and high dose group of Zuogui Jiangtang Jieyu prescription， two significantly different trend clustering groups were obtained. One key gene set for axonal guidance， as well as key target signal elements Sema3c， Sema7a， Robo3， Epha8， and Epha7， were identified through synthesizing the three analysis results. Real-time PCR validated that compared with the results in the normal group， the mRNA expression of Robo3， Sema7a， and Epha7 in the hippocampus of the model rats was significantly reduced （P<0.05， P<0.01）. Compared with the model group， the high dose of Zuogui Jiangtang Jieyu prescription significantly increased the mRNA expression of Robo3， Sema7a， and Epha7 （P<0.05， P<0.01）. Western blot results showed that compared with the results in the normal group， the Sema7a， ITGB1， and FAK protein expression in the hippocampus of the model group was significantly reduced （P<0.01）. Compared with the model group， the high dose of Zuogui Jiangtang Jieyu prescription significantly increased the protein expression of Sema7a， ITGB1， and FAK in the hippocampus （P<0.05，P<0.01）. ConclusionZuogui Jiangtang Jieyu prescription may treat diabetes with depression by regulating axonal guidance based on the Sema7a/ITGB1 signaling pathway.

Objective To investigate the feasibility and clinical experience of kidney transplantation from donors with Marfan syndrome (MFS). Methods Clinical data of 2 recipients undergoing kidney transplantation from the same MFS patient were retrospectively analyzed and literature review of 2 cases was conducted. Characteristics and clinical diagnosis and treatment of kidney transplantation from MFS patients were summarized. Results The Remuzzi scores of the left and right donor kidneys of the MFS patient during time-zero biopsy were 1 and 2. No significant difference was observed in the renal arteriole wall compared with other donors of brain death and cardiac death. Two recipients who received kidney transplantation from the MFS patient suffered from postoperative delayed graft function. After short-term hemodialysis, the graft function of the recipients received the left and right kidney began to gradually recover at postoperative 10 d and 20 d. After discharge, serum creatinine level of the recipient received the left kidney was ranged from 80 to 90 μmol/L, whereas that of the recipient received the right kidney kept declining, and the lowest serum creatinine level was 232 μmol/L before the submission date (at postoperative 43 d). Through literature review, two cases successfully undergoing kidney transplantation from the same MFS donor were reported. Both two recipients experienced delayed graft function, and then renal function was restored to normal. Until the publication date, 1 recipient has survived for 6 years, and the other recipient died of de novo cerebrovascular disease at postoperative 2 years. Conclusions MFS patients may serve as an acceptable source of kidney donors. However, the willingness and general conditions of the recipients should be carefully evaluated before kidney transplantation. Intraoperatively, potential risk of tear of renal arterial media should be properly treated. Extensive attention should be paid to the incidence of postoperative complications.

BACKGROUND:High tibial osteotomy results in massive blood loss during the perioperative period.Tranexamic acid can effectively reduce perioperative blood loss.However,the method of tranexamic acid application has not been unified. OBJECTIVE:To investigate the effect and safety of different methods of tranexamic acid on perioperative blood loss in the high tibial osteotomy. METHODS:A total of 160 patients who underwent primary unilateral high tibial osteotomy in the Binzhou Medical University Hospital from January 2019 to December 2021,including 69 males and 91 females,were randomly divided into four groups(n=40 per group).Among them,40 patients were given an intravenous infusion of saline containing 2 g tranexamic acid 10 minutes before tourniquet release(venous group);40 patients were given an intravenous infusion of 1 g tranexamic acid and 1 g tranexamic acid was injected through a drainage tube after the closure of the incision(combined group);40 patients were given 2 g tranexamic acid infusion into drainage tube after the closure of the incision(perfusion group);an additional 40 patients were given an intravenous infusion of the same amount of normal saline(blank group).The general information was compared among the four groups of patients.The hemoglobin,hematocrit,intraoperative blood loss,drainage volume,blood transfusion rate,incision complication,and the incidence of deep vein thrombosis were recorded on days 1,3 and 5 after operation in the four groups.The total blood loss and hidden blood loss were calculated. RESULTS AND CONCLUSION:(1)There was no statistically significant difference in general information among the four groups.(2)No significant difference was found in intraoperative blood loss among the four groups.(3)The maximum decreased values of hemoglobin and hematocrit on days 1,3 and 5 after operation,drainage volume,total blood loss and hidden blood loss were all ranked as the combined group