Optimization of Diagnosis-Related Groups for 14,246 Patients with Uterine Leiomyoma in a Single Center in Western China Using a Machine Learning Model.

Background: Uterine leiomyoma (UL) is one of the most common benign tumors in women, and its incidence is gradually increasing in China. The clinical complications of UL have a negative impact on women's health, and the cost of treatment poses a significant burden on patients. Diagnosis-related groups (DRG) are internationally recognized as advanced healthcare payment management methods that can effectively reduce costs. However, there are variations in the design and grouping rules of DRG policies across different regions. Therefore, this study aims to analyze the factors influencing the hospitalization costs of patients with UL and optimize the design of DRG grouping schemes to provide insights for the development of localized DRG grouping policies. Methods: The Mann-Whitney U-test or the Kruskal-Wallis H-test was employed for univariate analysis, and multiple stepwise linear regression analysis was utilized to identify the primary influencing factors of hospitalization costs for UL. Case combination classification was conducted using the exhaustive chi-square automatic interactive detection (E-CHAID) algorithm within a decision tree framework. Results: Age, occupation, number of hospitalizations, type of medical insurance, Transfer to other departments, length of stay (LOS), type of UL, admission condition, comorbidities and complications, type of primary procedure, other types of surgical procedures, and discharge method had a significant impact on hospitalization costs (P<0.05). Among them, the type of primary procedure, other types of surgical procedures, and LOS were the main factors influencing hospitalization costs. By incorporating the type of primary procedure, other types of surgical procedures, and LOS into the decision tree model, patients were divided into 11 DRG combinations. Conclusion: Hospitalization costs for UL are mainly related to the type of primary procedure, other types of surgical procedures, and LOS. The DRG case combinations of UL based on E-CHAID algorithm are scientific and reasonable.

Effect of tannic/gallic acid-iron dyeing treatment on surface color and light fastness of bamboo veneer.

Currently, the quest for bamboo materials with high color fastness, rich colors and environmental friendliness is rapidly rising due to its potential applications in construction, furniture and decoration. However, finding an easy-to-operate and environmentally friendly dye for bamboo is a necessary task because of the difficulty in treating the dyeing waste liquid of acid dyes and the complexity of the production process of reactive dyes.Five formulations involving metal polyphenol complexes were employed to straightforwardly produce eco-friendly dyed bamboo and the impact of various formulations on the light aging resistance of the dyed veneers was examined. The results indicated that the light resistance of bamboo veneer dyed with the solution containing only FeSO4·7H2O and tannic acid reached level 4, surpassing the undyed bamboo veneer by three levels. The mechanism of enhanced lightfastness of dyed bamboo veneer was elucidated by XPS analysis. The polyphenol iron complex serves a dual purpose: it absorbs ultraviolet rays and scavenges free radicals within the system. Additionally, it reduced the oxidation of phenolics in the substrate, transforming them into dark-colored quinone structures. This process enhanced the light-aging resistance of the finishing materials. Therefore, this work provides a simple and environmentally friendly method for changing the color of bamboo and provides a new idea for the selection of dyes for bamboo dyeing in actual production.

Evaluation of left ventricular myocardial work in patients with hyperthyroidism with different heart rates with noninvasive pressure-strain loop based on two-dimensional speck tracking imaging.

Background: We investigated the application value of no-invasive myocardial work in evaluating left ventricular (LV) function in patients with hyperthyroidism. Methods: Sixty-five patients with an initial hyperthyroidism diagnosis were sorted into tachycardia (group TH1, n=31) and without tachycardia (group TH2, n=34) groups. Thirty healthy participants served as the control group (group CON). LV strain parameters and LV myocardial work parameters were evaluated at rest. Each parameter's value in identifying myocardial damage was analyzed using receiver operating characteristic curves. The correlation of myocardial work parameters with global longitudinal strain (GLS), longitudinal peak strain dispersion (normalized by heart rate, PSDN), and systolic blood pressure (SBP) was analyzed. Results: There was no difference in classic echocardiographic parameters between the groups. Compared with that in group CON, GLS decreased in groups TH1 and TH2 (TH1 17.99%±2.21% and TH2: 19.00%±2.85% vs. 20.27%±1.49%; both P<0.05); there was no significant difference between groups TH1 and TH2. PSDN increased in groups TH1 and TH2 (TH1 73.13±19.51 ms and TH2 55.06±17.03 vs. 44.13±8.65 ms; both P<0.05); it was higher in group TH1 than in group TH2 (P<0.05). Myocardial global work efficiency (GWE) decreased in groups TH1 and TH2 {TH1 95% [interquartile range (IQR), 94-95%] and TH2 96% (IQR, 95-97%) vs. 97% (IQR, 96-97%); both P<0.05}; it was lower in group TH1 than in group TH2 (P<0.05). Global constructive work (GCW) decreased in group TH1 (1,865.29±284.13 vs. 2,030.33±252.52 mmHg%; P<0.05), but was not different from that in group TH2; there was no difference between groups TH2 and CON. Global wasted work (GWW) increased in groups TH1 and TH2 [TH1 83.00 (IQR, 74.00-97.00) mmHg% and TH2 69.50 (IQR, 51.25-84.25) vs. 50.50 (IQR, 40.75-65.25) mmHg%; both P<0.05]; it was higher in group TH1 than in group TH2 (P<0.05). The area under the GWE curve was the largest (area under the curve =0.835), and the optimal cutoff point was 96.5%, with a sensitivity of 0.83 and a specificity of 0.70. GWE and GCW were positively correlated with GLS and negatively correlated with PSDN. GWW was negatively correlated with GLS and positively correlated with PSDN. In group CON, GCW and GWW were positively correlated with SBP; GWE was not correlated with SBP. In groups TH1 and TH2, GCW was positively correlated with SBP, but not with GWW or GWE. Conclusions: Hyperthyroidism can significantly decrease the GWE and increase GWW of the left ventricle. This change is more pronounced in patients with tachycardia. Myocardial work could be a novel method for the evaluation of LV myocardial function in patients with hyperthyroidism.

Early Changes of Serum Interleukin 14α Levels Predicts the Response to Anti-PD-1 Therapy in Cancer.

Background: Programmed cell death-1 (PD-1) blockade has been shown to confer clinical benefit in cancer patients. Here, we assessed the level of serum interleukin 14α (IL14α) in patients receiving anti-PD-1 treatment. Methods: This prospective study recruited 30 patients with advanced solid cancer who received pembrolizumab treatment in Northern Jiangsu People's Hospital between April 2016 and June 2018. The western blot analysis was used to assess the expression level of serum IL14α in patients at baseline and after 2 cycles of treatment. Interleukin 14α was performed using the unpaired 2-tailed Student test. The progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan-Meier method and compared by the log-rank test. Results: The early change of IL14α after 2 cycles of anti-PD-1 therapy was calculated as delta IL14α % change = (IL14α level after 2 cycles - IL14α level before treatment)/IL14α level before treatment × 100%. Receiver operating characteristic (ROC) was analyzed to get a cutoff point of delta IL14α % change as 2.46% (sensitivity = 85.71%, specificity = 62.5%; area under the ROC curve [AUC] = 0.7277, P = .034). Using this cutoff to subgroup the patients, an improved objective response rate was observed in patients with a delta IL14α change higher than 2.46% (P = .0072). A delta IL14α change over 2.46% was associated with a superior PFS (P = .0039). Conclusions: Early changes of serum IL14α levels may be a promising biomarker to predict outcomes in patients with solid cancer following anti-PD-1 treatment.

Prediction of Surgical Approach in Mitral Valve Disease by XGBoost Algorithm Based on Echocardiographic Features.

In this study, we aimed to develop a prediction model to assist surgeons in choosing an appropriate surgical approach for mitral valve disease patients. We retrospectively analyzed a total of 143 patients who underwent surgery for mitral valve disease. The XGBoost algorithm was used to establish a predictive model to decide a surgical approach (mitral valve repair or replacement) based on the echocardiographic features of the mitral valve apparatus, such as leaflets, the annulus, and sub-valvular structures. The results showed that the accuracy of the predictive model was 81.09% in predicting the appropriate surgical approach based on the patient's preoperative echocardiography. The result of the predictive model was superior to the traditional complexity score (81.09% vs. 75%). Additionally, the predictive model showed that the three main factors affecting the choice of surgical approach were leaflet restriction, calcification of the leaflet, and perforation or cleft of the leaflet. We developed a novel predictive model using the XGBoost algorithm based on echocardiographic features to assist surgeons in choosing an appropriate surgical approach for patients with mitral valve disease.

Analyzing Temperature Distribution Patterns on the Facing and Backside Surface: Investigating Combustion Performance of Flame-Retardant Particle Boards Using Aluminum Hypophosphite, Intumescent, and Magnesium Hydroxide Flame Retardants.

Particle boards are manufactured through a hot pressing process using wood materials (natural polymer materials) and adhesive, which find common usage in indoor decorative finishing materials. Flame-retardant particleboard, crucial for fire safety in such applications, undergoes performance analysis that includes assessing temperature distribution across its facing surface and temperature increase on the backside surface during facade combustion, yielding critical insights into fire scenario development. In this study, a compact flame spread apparatus is utilized to examine the flame retardancy and combustion behavior of particle boards, with a specific emphasis on the application of cost-effective flame retardants, encompassing aluminum hypophosphite (ALHP), an intumescent flame retardant (IFR) comprising ammonium polyphosphate (APP), melamine (MEL), and Dipentaerythritol (DPE), alongside magnesium hydroxide (MDH), and their associated combustion characteristics. The D300°C values, representing the vertical distance from the ignition point (IP) to P300°C (the temperature point at 300 °C farthest from IP), are measured using a compact temperature distribution measurement platform. For MDH/PB, APP + MEL + DPE/PB, and ALHP/PB samples, the respective D300°C values of 145.79 mm, 117.81 mm, and 118.57 mm indicate reductions of 11.11%, 28.17%, and 27.71%, compared to the untreated sample's value of 164.02 mm. The particle boards treated with ALHP, IFR, and MDH demonstrated distinct flame-retardant mechanisms. MDH/PB relied on the thermal decomposition of MDH to produce MgO and H2O for flame retardancy, while APP + MEL + DPE/PB achieved flame retardancy through a cross-linked structure with char expansion, polyphosphate, and pyrophosphate during combustion. On the other hand, ALHP/PB attained flame retardancy by reacting with wood materials and adhesives, forming a stable condensed P-N-C structure. This study serves as a performance reference for the production of cost-effective flame-resistant particleboards and offers a practical method for assessing its fire-resistant properties when used as a decorative finishing material on facades in real fire situations.

Prognostic Value of Inflammation-Immunity-Nutrition Score and Inflammatory Burden Index for Hepatocellular Carcinoma Patients After Hepatectomy.

Purpose: The study aimed to investigate the ability of inflammation-immunity-nutrition score (IINS) and inflammatory burden index (IBI), individually or in combination, to predict prognosis of hepatocellular carcinoma (HCC) patients after hepatectomy. Methods: A total of 701 patients who underwent HCC resection at Guangxi Medical University Cancer Hospital were enrolled in the study. An IINS ranging from 0 to 3 was defined based on preoperative C-reactive protein (CRP), lymphocyte count, and serum albumin level, while an IBI was based on CRP and neutrophil-to-lymphocyte ratio. The prognostic value of IINS and IBI was assessed using univariate and multivariate Cox regression and Kaplan-Meier survival curves. The concordance index and calibration curve were used for internal validation of models. Decision curve analysis, net reclassification index and integrated discrimination improvement were used to compare the predictive performance of the models with traditional staging systems. Results: IINS and IBI were able to predict poor prognosis in HCC patients after hepatectomy, and a nomogram based on the IINS predicted survival at 1, 3, and 5 years better than other models or traditional staging systems. Conclusion: IINS may be accurate predictors of survival in HCC patients after hepatectomy, with potentially greater prognostic value than conventional markers.

Construction of prognostic signature of breast cancer based on N7-Methylguanosine-Related LncRNAs and prediction of immune response.

Background: Long non-coding RNA (LncRNA) is a prognostic factor for malignancies, and N7-Methylguanosine (m7G) is crucial in the occurrence and progression of tumors. However, it has not been documented how well m7G-related LncRNAs predict the development of breast cancer (BC). This study aims to develop a predictive signature based on long non-coding RNAs (LncRNAs) associated with m7G to predict the prognosis of breast cancer patients. Methods: The Cancer Genome Atlas (TCGA) database provided us with the RNA-seq data and matching clinical information of individuals with breast cancer. To identify the signature of N7-Methylguanosine-Related LncRNAs and create a prognostic model, we employed co-expression network analysis, least absolute shrinkage selection operator (LASSO) regression analysis, univariate Cox regression analysis, and multivariate Cox regression analysis. The signature was assessed using the Kaplan-Meier analysis and Receiver Operating Characteristic (ROC) curve. A nomogram and principal component analysis (PCA) were employed to confirm the predictive signature's usefulness. Then, we examined the drug sensitivity between the two risk groups and utilized single-sample gene set enrichment analysis (ssGSEA) to investigate the association between predictive factors and the tumor immune microenvironment in high-risk and low-risk groups. Results: Nine m7G-related LncRNAs (LINC01871, AP003469.4, Z68871.1, AC245297.3, EGOT, TFAP2A-AS1, AL136531.1, SEMA3B-AS1, AL606834.2) that are independently associated with the overall survival time (OS) of BC patients make up the signature we developed. For predicting 1-, 3-, and 5-year survival rates, the areas under the ROC curve (AUC) were 0.715, 0.724, and 0.726, respectively. The Kaplan-Meier analysis revealed that the prognosis of BC patients in the high-risk group was worse than that of those in the low-risk group. When compared to clinicopathological variables, multiple regression analysis demonstrated that risk score was a significant independent predictive factor for BC patients. The results of the ssGSEA study revealed a substantial correlation between the predictive traits and the BC patients' immunological status, low-risk BC patients had more active immune systems, and they responded better to PD1/L1 immunotherapy. Conclusion: The prognostic signature, which is based on m7G-related LncRNAs, can be utilized to inform patients' customized treatment plans by independently predicting their prognosis and how well they would respond to immunotherapy.

Early assessment of subclinical myocardial injury in systemic lupus erythematosus by two-dimensional longitudinal layer speckle tracking imaging.

Background: To investigate the feasibility of quantitatively assessing left ventricular function and synchronization and diagnose subclinical myocardial injury in patients with systemic lupus erythematosus (SLE) using two-dimensional (2D) longitudinal layer speckle tracking imaging (STI). Methods: This was a single-center prospective study. A total of 69 patients with SLE were included in the case group and further divided into 2 subgroups, a nonactive and an active group, according to the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) 2000 scoring standard. We selected 30 healthy volunteers as the control group. The global longitudinal strain (GLSglobal), global endocardial longitudinal strain (GLSendo), global epicardial longitudinal strain (GLSepi), and peak strain dispersion (PSD) were obtained. The transmural gradient of longitudinal strain (TGLS) was calculated for the difference in strains between the inner and outer membranes. Results: (I) Compared with the control group, decreased speckle strain parameters and elevated PSD were observed in patients with SLE (GLSglobal: -18.80%±2.41% vs. -21.19%±2.16%, GLSendo: -21.15%±2.47% vs. -24.09±2.49%; GLSepi: -16.58%±2.39% vs. -18.50±1.77%; TGLS: -4.56%±1.24% vs. -5.59%±1.39%; and PSD: 36.61±10.85 vs. 30.00±8.54 ms). More severely impaired layer strains were observed in active-stage patients. Compared with the nonactive group, GLSendo, GLSglobal, GLSepi, TGLS, complement C3, and complement C4 were decreased in the active group, while SLEDAI, erythrocyte sedimentation rate (ESR), and high-sensitivity C-reactive protein (Hs-CRP) were elevated. (II) Receiver operating characteristic (ROC) analysis demonstrated that subendocardial myocardial longitudinal strain was the most powerful tool for detecting myocardial insufficiency early in patients with SLE [area under the curve (AUC) =0.809], especially in patients in the active stage (AUC =0.734), and the optimal cut-off point was -21.35%, with a sensitivity of 71.9% and a specificity of 62.2%. (III) Correlation analysis revealed that GLSendo was moderately correlated with PSD, SLEDAI, ERS, Hs-CRP, and complement C3 (correlation coefficients: 0.535, 0.428, 0.659, 0.559, and -0.440, respectively). Conclusions: Subclinical myocardial injury in patients with SLE can be assessed early using 2D longitudinal STI, and the injury is more obvious in active-stage patients. Endocardial longitudinal strain is a more sensitive index than epicardial longitudinal strain for the early detection of subclinical myocardial injury in patients with SLE, which is a potentially valuable clinical tool to assist in the early detection of myocardial damage.

Os LncRNAs Estão Envolvidos no Processo de Aterosclerose em Diversos Níveis / LncRNAs are Involved in the Process of Atherosclerosis at Diverse Levels

Resumo A aterosclerose é a causa mais comum de doença cardiovascular em todo o mundo, ela está associada a uma alta incidência de eventos clínicos. O acúmulo de evidências elucidou que os RNAs longos não codificantes (LncRNAs) são uma nova classe de transcritos com papéis críticos nos processos fisiopatológicos da aterosclerose. Nesta revisão, resumimos o progresso recente dos LncRNAs no desenvolvimento da aterosclerose. Descrevemos principalmente os diversos mecanismos regulatórios dos LncRNAs nos níveis transcricionais e pós-transcricionais. Este estudo pode fornecer informações úteis sobre os LncRNAs como alvos terapêuticos ou biomarcadores para o tratamento da aterosclerose.

Abstract Atherosclerosis is the most common cause of cardiovascular disease globally, associated with a high incidence of clinical events. Accumulating evidence has elucidated that long non-coding RNAs (lncRNAs) as a novel class of transcripts with critical roles in the pathophysiological processes of atherosclerosis. In this review, we summarize the recent progress of lncRNAs in the development of atherosclerosis. We mainly describe the diverse regulatory mechanisms of lncRNAs at the transcriptional and post-transcriptional levels. This study may provide helpful insights about lncRNAs as therapeutic targets or biomarkers for atherosclerosis treatment.

Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study.

PURPOSE: This study aimed to establish and compare the radiomics machine learning (ML) models based on non-contrast enhanced computed tomography (NECT) and clinical features for predicting the simplified risk categorization of thymic epithelial tumors (TETs). EXPERIMENTAL DESIGN: A total of 509 patients with pathologically confirmed TETs from January 2009 to May 2018 were retrospectively enrolled, consisting of 238 low-risk thymoma (LRT), 232 high-risk thymoma (HRT), and 39 thymic carcinoma (TC), and were divided into training (n = 433) and testing cohorts (n = 76) according to the admission time. Volumes of interest (VOIs) covering the whole tumor were manually segmented on preoperative NECT images. A total of 1218 radiomic features were extracted from the VOIs, and 4 clinical variables were collected from the hospital database. Fourteen ML models, along with varied feature selection strategies, were used to establish triple-classification models using the radiomic features (radiomic models), while clinical-radiomic models were built after combining with the clinical variables. The diagnostic accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC) of radiologist assessment, the radiomic and clinical-radiomic models were evaluated on the testing cohort. RESULTS: The Support Vector Machine (SVM) clinical-radiomic model demonstrated the highest AUC of 0.841 (95% CI 0.820 to 0.861) on the cross-validation result and reached an AUC of 0.844 (95% CI 0.793 to 0.894) in the testing cohort. For the one-vs-rest question of LRT vs HRT + TC, the sensitivity, specificity, and accuracy reached 80.00%, 63.41%, and 71.05%, respectively. For HRT vs LRT + TC, they reached 60.53%, 78.95%, and 69.74%. For TC vs LRT + HRT they reached 33.33%, 98.63%, and 96.05%, respectively. Compared with the radiomic models, superior diagnostic efficacy was demonstrated for most clinical-radiomics models, and the AUC of the Bernoulli Naive Bayes model was significantly improved. Radiologist2's assessment achieved a higher AUC of 0.813 (95% CI: 0.756-0.8761) than other radiologists, which was slightly lower than the SVM clinical-radiomic model. Combined with other evaluation indicators, SVM, as the best ML model, demonstrated the potential of predicting the simplified risk categorization of TETs with superior predictive performance to that of radiologists' assessment. CONCLUSION: Most of the ML models are promising in predicting the simplified TETs risk categorization with superior efficacy to that of radiologists' assessment, especially the SVM models, demonstrated the integration of ML with NECT may be valuable in aiding the diagnosis and treatment planning.

Evaluation of Pembrolizumab Monotherapy Efficacy in Advanced Non-Small-Cell Lung Cancer by Serial Monitoring of Circulating Tumor DNA Using Next-Generation Sequencing.

INTRODUCTION: Pembrolizumab is widely used in advanced non-small-cell lung cancer (NSCLC) patients with positive programmed death-ligand 1 (PD-L1). However, efficacy evaluation along treatment by serial monitoring of circulating tumor DNA (ctDNA) using next-generation sequencing remained to be well studied. METHODS: Nine PD-L1 positive advanced NSCLC patients were prospectively enrolled and received pembrolizumab monotherapy. Pretreatment tissue and/or plasma samples were collected as baseline reference. Serial plasma samples were collected after 3 and 6 weeks of treatment as well as at disease progression. All samples underwent targeted next-generation sequencing. RESULTS: The median progression-free survival (mPFS) and median overall survival (mOS) were 4.43 and 25.53 months, respectively. In total, 3 patients achieved partial response (PR) or stable disease (SD) for more than 6 months and were thus classified into the durable clinical benefit (DCB) group, whereas the rest 6 were grouped as nondurable benefit (NDB) patients. Molecular profiling of baseline samples revealed that TP53 and APC were the 2 most frequently mutated genes in all patients, whereas POT1 and SETD2 mutations were enriched in DCB and NDB groups, respectively. Higher tumor mutational burden (TMB) was observed in DCB patients than NDB group. During serial ctDNA monitoring, 2 DCB patients showed a dramatic ctDNA reduction while 75% of NDB patients' ctDNA concentration increased at week 6. Several acquired mutations might contribute to the pembrolizumab resistance, including CDKN2A frameshift and MITF nonsense mutations. CONCLUSIONS: Genomic profiling of peripheral blood samples can be applied to dynamically monitor disease progression. The reduction in ctDNA concentration during treatment implied DCBs.

The Effect of Hippocampal Avoidance Whole Brain Radiotherapy on the Preservation of Long-Term Neurocognitive Function in Non-Small Cell Lung Cancer Patients With Brain Metastasis.

Whole-brain radiotherapy (WBRT) is the mainstay of therapy in treating cancer patients with brain metastases, but unfortunately, it might also lead to decline in neurocognitive function. This study aims to investigate the preservation of long-term neurocognitive function in patients after hippocampal avoidance whole-brain radiotherapy (HA-WBRT). Retrospectively, 47 patients diagnosed with brain metastases of non-small cell lung cancer (NSCLC) between 2015-01-01 and 2017-12-31 at the Department of Oncology, XXX Hospital were selected and divided into 2 groups. Group A (n = 27) received HA-WBRT, whereas group B (n = 20) received WBRT. Neurocognitive function was analyzed at baseline and at 3, 6, 9, 12 and 24 months after radiotherapy, using Mine-Mental State Examination (MMSE) scales and Montreal Cognitive Assessment (MoCA) scales. The OS, PFS and tumor recurrence sites were also analyzed. When evaluated at 12 and 24 months after radiotherapy, the cognitive function scores of the hippocampal avoidance group were significantly higher than those of the non-hippocampal avoidance group (P < 0.001). In terms of patient survival, there was no significant difference in OS (P = 0.2) and PFS (P = 0.18) between these 2 groups. Fourteen patients in group A and 12 patients in group B had brain tumor recurrence after radiation, only one patient in group A occurred within 5 mm from the edge of the hippocampus (P > 0.05). In conclusion, HA-WBRT might have a protective effect on long-term neurocognitive function and did not affect patient survival.

Multi-scale characterization of bamboo bonding interfaces with phenol-formaldehyde resin of different molecular weight to study the bonding mechanism.

Understanding the bonding mechanism of the interfacial region between bamboo and adhesives is essential for accelerating the development of improved adhesives for advanced bamboo-based materials. In this study, Br-labelled phenol-formaldehyde (PF) resins with four different molecular weights (MWs) were used to make bamboo-adhesive interfaces for tracing the adhesives in bamboo. Ultra-depth-of-field microscopy and scanning electron microscopy in conjunction with energy dispersion spectrometry were used to access the distribution and penetration of resin in the bamboo polymer. Fourier transform infrared images and solid-state cross-polarization/magic angle spinning nuclear magnetic resonance spectra were used to access the molecular-scale interactions between PF resins and bamboo cell walls. The results showed that the PF resins with high MW infiltrated into the lumina of damaged bamboo cells near the bondline to form glue nails, while those with low MW penetrated into the bamboo cell wall to form nanomechanical interlocking. Chemical bonds and secondary forces such as polar forces and hydrogen bonds were generated between bamboo and PF resin. Finally, the twice-adhesive dispensing method combining low-MW resins with high-MW resins was used to improve the bonding strength of the interface.

[Association of metabolic syndrome with chronic kidney disease in premenopausal and postmenopausal women].

OBJECTIVE: To explore the relationship between metabolic syndrome (MS) and the risk for chronic kidney disease (CKD) in premenopausal and postmenopausal women. METHODS: We conducted a cross-sectional study among 1346 community-based women from June to October 2012 and collected the data of personal history, lifestyle, physical measures and laboratory indicators. The diagnosis of CKD was established for an eGFR of less than 60 mL/min per 1.73 m2 or albuminuria. The diagnosis of metabolic syndrome was based on the International Diabetes Federation Guide. According to an epidemiological survey in Guangdong province, women older than 48.9 years were classified as having a postmenopausal status. The prevalence of MS and CKD was determined in both the premenopausal and postmenopausal women, and the association between MS and CKD was analyzed using logistic regression models. RESULTS: MS was significantly correlated with CKD in premenopausal women in both unadjusted analyses (OR=3.10, 95% CI: 1.32-7.28, P=0.009) and in analysis after adjustment for potential confounders (OR=4.09, 95% CI: 1.63- 10.32, P=0.003). When adjusted for diabetes, hypertension, and hyperuricemia, no correlation was found between MS and CKD in premenopausal women (OR=1.56, 95% CI: 0.31-7.63, P= 0.592); in the unadjusted analyses, MS was significantly correlated with CKD in postmenopausal women (P < 0.001). After further adjustment for age, education status, current smoking, physical inactivity, and current drinking, MS was still significantly correlated with CKD (OR=2.60, 95% CI: 1.69-3.99, P < 0.001). When adjusted for diabetes, hypertension, and hyperuricemia, the correlation between MS and CKD was still significant (OR=1.61, 95% CI: 1.09-2.37, P=0.018). In the unadjusted model, a high blood pressure (OR=2.77, 95%CI: 1.57-4.89, P < 0.001), an elevated serum triglyceride level (OR=1.84, 95%CI: 1.16-2.90, P=0.009) and a high fast glucose level (OR=2.07, 95%CI: 1.30-3.28, P=0.002) were all significantly correlated with CKD in postmenopausal women. After adjusting for age, current smoking, current alcohol use, education status and physical inactivity, a high blood pressure (OR=2.28, 95%CI: 1.22-4.26, P=0.01), a high serum triglyceride level (OR=1.71, 95%CI: 1.03-2.86, P=0.039) and a high fast glucose (OR=2.25, 95%CI: 1.36-3.73, P=0.002) were still significantly correlated with CKD in postmenopausal women. Blood pressure, serum triglyceride level, fast glucose, serum HDL cholesterol level and central obesity were not correlated with CKD in either the unadjusted model or adjusted model in premenopausal women (P > 0.05). CONCLUSIONS: MS is correlated with CKD in both premenopausal and postmenopausal women, and the association is dependent on diabetes, hypertension, and hyperuricemia in premenopausal women but not in postmenopausal women.

Efficacy of extracts of Celastrus orbiculatus in suppressing migration and invasion by inhibiting the EZH2/ROCK1 signaling pathway in human nasopharyngeal carcinoma.

Celastrus orbiculatus extract (COE) has been used in folk medicine in China for the treatment of a number of diseases. In the laboratory, COE exhibits a variety of anticancer functions, including inhibition of metastasis. However, the underlying molecular anti-metastatic mechanism in nasopharyngeal carcinoma (NPC) cells remains unclear. The aim of the present study was to determine whether the anti-metastatic effect of COE was involved in inhibiting migration and invasion of human NPC cells. In vitro, cell viability and apoptosis of 5-8F cells were analyzed using an MTS assay and flow cytometry, respectively. Invasion and migration of 5-8F cells were analyzed using a Transwell assay. Protein and mRNA expression levels of 5-8F cells were analyzed by western blot analysis and the reverse transcription-quantitative polymerase chain reaction, respectively. COE significantly decreased cell viability in 5-8F cells and inhibited enhancer of zeste homolog 2 (EZH2) and Rho-associated coiled coil-containing protein kinase 1 (ROCK1) expression at the mRNA and protein levels. Furthermore, COE decreased the migration and invasion of 5-8F cells in a dose-dependent manner. The results of the present study suggested that COE prevents migration and invasion by suppressing the EZH2/ROCK1 signaling pathway in NPC cells. On the basis of the results of the present study, COE may be a novel anticancer agent for the treatment of metastasis in NPC.

Clinicopathological significance of ROCK1 and PIK3CA expression in nasopharyngeal carcinoma.

The aim of the present study was to determine the expression of rho-associated coiled-coil-containing protein kinase 1 (ROCK1) and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α (PIK3CA) in nasopharyngeal carcinoma (NPC), and to assess the association between the expression of these proteins and the clinicopathological features of NPC. ROCK1 and PIK3CA expressions were assessed in a tissue microarray of sections prepared from the tumors of 81 patients with NPC using immunohistochemistry. Western blot analysis was used to detect ROCK1 and PIK3CA expression in NP69 and 5-8F cells. χ2 analysis revealed that upregulation of ROCK1 was significantly associated with advanced N stage (P=0.032) cancer and increased PIK3CA expression was significantly associated with advanced N stage (P=0.027) and TNM stage (P=0.019) cancer. Furthermore, ROCK1 expression was significantly positively correlated with PIK3CA expression (P=0.01). Western blot analysis demonstrated that levels of ROCK1 (P<0.001) and PIK3CA (P=0.015) were significantly higher in 5-8F cells compared with NP69 cells. The results of the present study indicate that high levels of ROCK1 and PIK3CA expression may be associated with advanced stages in NPC.