ObjectiveTo investigate the preventive effect and mechanism of Dendrobium officinale （DO） on non-alcoholic fatty liver disease （NAFLD） by network pharmacology and animal experiments. MethodsDO components in blood after administration were identified and analyzed using ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-QE-HF-MS/MS）. Network pharmacology and molecular docking methods were employed to obtain active ingredients and potential targets of DO for NAFLD control. High-fat feeds were used to replicate the NAFLD rat model. Biochemical kits were used for detecting the expression levels of blood lipids， hepatic lipids， and liver functions of rats. Hematoxylin-eosin （HE） staining and oil red O staining were employed to observe pathological changes in rat liver， and real-time fluorescence quantitative PCR （Real-time PCR） assay was performed to validate potential targets obtained from the network pharmacology analysis. ResultsA total of 13 DO components were identified in blood， including berberine， dihydrosanguinarine， and oxypeucedanin. A total of 14 potential targets were screened through network pharmacology， including Forkhead box protein O1 （FoxO1）， epidermal growth factor receptor （EGFR）， and insulin-like growth factor 1 （IGF-1R）， involving pathways such as the advanced glycation end product （AGE）/receptor for AGE （RAGE） signaling pathway， blood lipids and atherosclerosis， insulin resistance， and FoxO signaling. The results of animal experiments showed that the NAFLD rat model was successfully replicated. After the preventive treatment with DO for NAFLD rats， the indexes of blood lipids， hepatic lipids， and liver function were normalized； lipid deposition and lesions in the liver were significantly improved； the expression level of FoxO1 mRNA in the liver was significantly reduced （P<0.05）， and the mRNA expression levels of phosphatidylinositide 3-kinases （PI3K）， protein kinase B （Akt）， EGFR， and IGF-1R were significantly increased （P<0.05）. ConclusionDO has a preventive effect on NAFLD rats， and the mechanism of action may be related to the modulation of IGF1R and EGFR targets and activation of the PI3K/Akt/FoxO1 signaling pathway.

OBJECTIVES: To investigate the inhibitory effect of multimerin-2 (MMRN2) overexpression on growth and metastasis of cutaneous melanoma cells. METHODS: Clinical data of patients with cutaneous melanoma were obtained from the GEO database to compare MMRN2 expressions between normal and tumor tissues. A protein-protein interaction network was constructed using the STRING database, and the intersecting genes from GEPIA2.0 were subjected to GO and KEGG enrichment analysis. The prognostic relevance of MMRN2 expression level was assessed using Cox regression and "timeROC". The correlations of MMRN2 expression level with immune infiltration and angiogenesis-related genes were analyzed using GSCA database and the ssGSEA algorithm. Colony-forming assay, Transwell assay, and wound healing assay were used to examine the changes in proliferation and migration of cultured cutaneous melanoma cells following MMRN2 knockdown. In a mouse model bearing cutaneous melanoma xenograft, the effect of MMRN2 knockdown on vital organ pathologies, survival of the mice and GM-CSF, CXCL9, and TGF‑β1 protein expressions were analyzed. RESULTS: MMRN2 was significantly upregulated in metastatic cutaneous melanoma (P<0.001). Protein interaction network analysis identified 15 intersecting genes, which were enriched in endothelium development and cell-cell junctions. In patients with cutaneous melanoma, a high MMRN2 expression was correlated with a poor prognosis, an advanced T stage, a greater Breslow depth, and ulceration (P<0.05). MMRN2 expression level was strongly correlated with 24 immune cell types (P<0.001), fibroblasts, endothelial cells, and expressions of the pro-angiogenic genes (KCNJ8, SLCO2A1, NRP1, and COL3A1; P<0.001). In cultured B16F10 cells, MMRN2 knockdown significantly suppressed cell proliferation, migration and invasion and caused remo-deling of the immunosuppressive microenvironment. CONCLUSIONS MMRN2 overexpression drives progression of cutaneous melanoma by enhancing tumor metastasis, angiogenesis and immune evasion, highlighting its potential as a therapeutic target for melanomas.
Humans ; Melanoma/metabolism* ; Animals ; Cell Movement ; Prognosis ; Skin Neoplasms/metabolism* ; Mice ; Cell Proliferation ; Neoplasm Invasiveness ; Cell Line, Tumor ; Protein Interaction Maps

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Objective To investigate the targeted differentiation ability of mouse bone marrow derived mesenchymal stem cells(BM-MSCs)and adipose-derived mesenchymal stem cells(AD-MSCs).Methods BM-MSCs and AD-MSCs were isolated and cultured from bone marrow of femur and white adipose tissue of groin of C57BL/6J mice respectively,and the two types of cells were induced by osteogenic,chondrogenic and adipogenic differentiation medium respectively.Alizarin red,alcian blue and oil red O staining were used to detect the differentiated degree of osteogenic,chondrogenic and lipogenic differentiation.Real-time fluorescence quantitative PCR(qPCR)was used to identify MSCs and detected expression levels of directed differentiation-related genes Runx2,Sp7(osteoblast),Sox9,Col2a1(chondroblast),Pparg and Cebpa(lipogenesis)to determine the directed differentiation ability of cells.Based on gene expression profiles of mouse and human BM-MSCs and AD-MSCs in GEO database GSE43804 and GSE122778,the differentially expressed genes and their enrichment signal pathways were analyzed.Results The cell morphology of BM-MSCs and AD-MSCs obtained by isolation and culture was different,and spindle-shaped morphology was more obvious in AD-MSCs.Both cells expressed CD29,CD44 and CD90,but did not express CD34 and CD45.AD-MSCs showed higher osteogenic and lipogenic differentiation than those of BM-MSCs after directed induction,while chondrogenic differentiation was lower in AD-MSCs than that of BM-MSCs(P＜0.05).After directional induction,expression levels of Runx2,Pparg and Cebpa mRNA were higher in AD-MSCs than those in BM-MSCs,and Sox9 mRNA expression levels were lower than those in BM-MSCs(P＜0.05).Highly expressed genes of AD-MSCs in mice and human were enriched in PPAR and WNT signaling pathways.Highly expressed genes of BM-MSCs were enriched in cartilage and bone developmental signaling pathways.Conclusion The osteogenic and adipogenic differentiation ability of mouse AD-MSCs is stronger than those of BM-MSCs,while the chondrogenic differentiation ability AD-MSCs is weaker than that of BM-MSCs.The activation status of PPAR,WNT,cartilages and skeletal system development signaling pathways plays an important regulatory role in determining the different directional differentiation potential of AD-MSCs and BM-MSCs.

The "Clinical Practice Guidelines for Hypertension in China", released in 2022, has lowered the diagnostic criteria for hypertension. However, no adjustments were made to the diagnostic criteria for hypertension during pregnancy. The impact of adult hypertension diagnostic criteria on the diagnosis of gestational hypertension and pregnancy outcomes remains unclear. Borderline hypertension includes elevated blood pressure and stage 1 hypertension. Compared to pregnant women with normal blood pressure, women with borderline hypertension have an increased risk of adverse pregnancy outcomes. Still, there are no associated guidelines for pregnancy management for now. This article explores the influence of borderline hypertension on pregnancy outcomes and the optimal level for blood pressure control during pregnancy, aiming to improve maternal and fetal outcomes and optimize the management of borderline hypertension during pregnancy.

Background Self-perceived burden,anxiety and depression are among the most important factors affecting quality of life.At present,there is a lack of understanding on the research status and influencing factors of self-perceived burden in liver transplant recipients.Previous studies have shown that self-perceived burden,anxiety,depression and quality of life are correlated in pairs,but the effecting path among the three are not yet clear.Objective To explore the correlation of self-perceived burden and anxiety/depression with quality of life in liver transplant recipients,so as to provide guidance for psychological nursing intervention in clinical patients.Methods A total of 200 patients liver transplant recipients were enrolled from the liver transplantation inpatient and outpatient clinics of Jiangsu Province Hospital and Qinhuai Medical Area,General Hosptial of Eastern Theater Command of People's Liberation Army of China from March 2022 to February 2023.Patients were evaluated using Self-perceived Burden Scale(SPBS),Hospital Anxiety and Depression Scale(HADS)and the Chinese version of Post Liver Transplant Quality of Life Questionnaire(pLTQ).Spearman correlation analysis was used to examine the correlation among the scales.A structural equation model using Mplus 8.3 was utilized to testify the relationship among self-perceived burden,anxiety/depression and quality of life in liver transplant recipients.Bootstrap method was used to test the effecting pathway.Results There were statistically significant differences in SPBS scores of liver transplant recipients with different levels of education and fannual family income(H=9.656,18.796,P<0.05).There were statistically significant differences in HADS scores of liver transplant recipients with different numbers of somatic symptoms(H=9.859,P<0.05).There were statistically significant differences in the Chinese version of pLTQ scores of liver transplant recipients with different levels of education,postoperative survival time and numbers of somatic symptoms(H=6.892,8.023,16.099,P<0.05).The total and each dimension scores in SPBS of liver transplant recipients were positively correlated with the total score and anxiety/depression dimension scores in HADS(r=0.464～0.586,0.460～0.593,0.286～0.408,0.464～0.583,P<0.01)and negatively correlated with the total score and each dimension scores in the Chinese version of pLTQ(r=-0.572～-0.416,-0.599～-0.441,-0.365～-0.213,-0.559～-0.428,P<0.01).Structural equation model denoted that self-perceived burden negatively affected quality of life(β=-0.186,P<0.01).Anxiety/depression also negatively affected quality of life(β=-0.679,P<0.01).The self-perceived burden indirectly affected the quality of life of liver transplant recipients through anxiety and depression,with an effect value of-0.429,accounting for 69.76％of the total effect.Conclusion The quality of life in liver transplant recipients may be related to their self-perceived burden and anxiety/depression.Self-perceived burden may affect the quality of life of liver transplant patients through anxiety and depression.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Objective To explore the clinical value of endoscopic ultrasonography(EUS)combined with serum serine protease inhibitor Kazal 1(SPINK1)and secretory phosphoprotein 1(SPP1)in early diagnosis of esophageal cancer.Methods 276 patients from June 2021 to May 2023 were selected as the study objects.92 cases of esophageal cancer diagnosed by operation and pathology were esophageal cancer group,another 89 patients diagnosed as benign esophageal lesions through tissue biopsy were selected as the benign lesion group,and 95 healthy individuals who underwent physical examinations were collected as the healthy control group,general information such as age and gender of subjects in three groups were collected and organized;using pathological results as the gold standard,the accuracy of EUS in diagnosing esophageal cancer was verified;the expression of serum SPINK1 and SPP1 was compared among the esophageal cancer group,benign lesion group,and healthy control group;the relationship between the expression of serum SPINK1 and SPP1 in esophageal cancer patients and their clinical and pathological characteristics was explored;efficacy of EUS combined with serum SPINK1,SPP1 levels for early diagnosis of esophageal cancer was analyzed using receiver operator characteristic curve(ROC curve).Results Compared with the gold standard,the results of EUS examination showed that 81 cases were diagnosed with esophageal cancer,79 cases were diagnosed with benign lesions,11 cases were missed diagnosed,and 10 cases were misdiagnosed,with an accuracy rate of 88.40%(160/181);Compared with the healthy control group and the benign lesion group,the expression levels of serum SPINK1 and SPP1 in the esophageal cancer group were obviously increased,the expression levels of serum SPINK1 and SPP1 in the benign lesion group were significantly higher than those in the healthy control group,the differences were statistically significant(P<0.05);Serum SPINK1 expression was linked to tumor diameter>2 cm,presence of lymph node metastasis,lymph node positivity,and tissue grading level 3 in patients(P<0.05).Serum SPP1 expression level was related to tumor diameter>2 cm,presence of lymph node metastasis,lymph node positivity,and estrogen receptor positivity of patients(P<0.05);ROC curve showed that the area under the curve(AUC)of EUS,serum SPINK1,SPP1 levels,and their combination in the early diagnosis of esophageal cancer was 0.862,0.834,0.782,and 0.926,respectively,the clinical efficacy of the combination of the three in the early diagnosis of esophageal cancer was superior to that of EUS,serum SPINK1,and SPP1 alone(Z=2.30,Z=3.70,Z=4.23,P=0.022,P=0.000,P=0.000).Conclusion The expression levels of serum SPINK1 and SPP1 in esophageal cancer patients are abnormally up-regulated.The combination of EUS and serum SPINK1 and SPP1 has high clinical value in early diagnosis of esophageal cancer.