Association between new plasma inflammatory markers and risk of colorectal neoplasms in individuals over 50 years old.

OBJECTIVE(S): The prognostic value of systemic cytokine profiles and inflammatory markers in colorectal cancer were explored by several studies. We want to know more about inflammatory biomarkers in colorectal adenoma and early cancer. METHOD: The level of 38 inflammatory markers in the plasma of 112 adenoma patients, 72 Tis-T1 staging of colorectal carcinoma patients, 34 T2-T4 staging of colorectal carcinoma patients and 53 normal subjects were detected and compared. RESULT(S): Eight inflammatory biomarkers (Eotaxin, GCSF, IL-4, IL-5, IL-17E, MCP-1, TNF-α and VEGF-A) have higher plasma concentrations in colorectal adenoma and cancer patients compared with normal participants over 50 years old. CONCLUSION(S): Inflammatory markers may have the prognostic value for colorectal adenoma and early-stage carcinoma.

Group 3 innate lymphoid cells secret neutrophil chemoattractants and are insensitive to glucocorticoid via aberrant GR phosphorylation.

BACKGROUND: Patients with neutrophil-mediated asthma have poor response to glucocorticoids. The roles and mechanisms of group 3 innate lymphoid cells (ILC3s) in inducing neutrophilic airway inflammation and glucocorticoid resistance in asthma have not been fully clarified. METHODS: ILC3s in peripheral blood were measured by flow cytometry in patients with eosinophilic asthma (EA) and non-eosinophilic asthma (NEA). ILC3s were sorted and cultured in vitro for RNA sequencing. Cytokines production and signaling pathways in ILC3s after IL-1ß stimulation and dexamethasone treatment were determined by real-time PCR, flow cytometry, ELISA and western blot. RESULTS: The percentage and numbers of ILC3s in peripheral blood was higher in patients with NEA compared with EA, and negatively correlated with blood eosinophils. IL-1ß stimulation significantly enhanced CXCL8 and CXCL1 production in ILC3s via activation of p65 NF-κB and p38/JNK MAPK signaling pathways. The expression of neutrophil chemoattractants from ILC3s was insensitive to dexamethasone treatment. Dexamethasone significantly increased phosphorylation of glucocorticoid receptor (GR) at Ser226 but only with a weak induction at Ser211 residues in ILC3s. Compared to human bronchial epithelial cell line (16HBE cells), the ratio of p-GR S226 to p-GR S211 (p-GR S226/S211) was significantly higher in ILC3s at baseline and after dexamethasone treatment. In addition, IL-1ß could induce Ser226 phosphorylation and had a crosstalk effect to dexamethasone via NF-κB pathway. CONCLUSIONS: ILC3s were elevated in patients with NEA, and associated with neutrophil inflammation by release of neutrophil chemoattractants and were glucocorticoid (GC) resistant. This paper provides a novel cellular and molecular mechanisms of neutrophil inflammation and GC-resistance in asthma. Trial registration The study has been prospectively registered in the World Health Organization International Clinical Trials Registry Platform (ChiCTR1900027125).

Deep Learning-Based Computer-Aided Diagnosis for Breast Lesion Classification on Ultrasound: A Prospective Multicenter Study of Radiologists Without Breast Ultrasound Expertise.

BACKGROUND. Computer-aided diagnosis (CAD) systems for breast ultrasound interpretation have been primarily evaluated at tertiary and/or urban medical centers by radiologists with breast ultrasound expertise. OBJECTIVE. The purpose of this study was to evaluate the usefulness of deep learning-based CAD software on the diagnostic performance of radiologists without breast ultrasound expertise at secondary or rural hospitals in the differentiation of benign and malignant breast lesions measuring up to 2.0 cm on ultrasound. METHODS. This prospective study included patients scheduled to undergo biopsy or surgical resection at any of eight participating secondary or rural hospitals in China of a breast lesion classified as BI-RADS category 3-5 on prior breast ultrasound from November 2021 to September 2022. Patients underwent an additional investigational breast ultrasound, performed and interpreted by a radiologist without breast ultrasound expertise (hybrid body/breast radiologists, either who lacked breast imaging subspecialty training or for whom the number of breast ultrasounds performed annually accounted for less than 10% of all ultrasounds performed annually by the radiologist), who assigned a BI-RADS category. CAD results were used to upgrade reader-assigned BI-RADS category 3 lesions to category 4A and to downgrade reader-assigned BI-RADS category 4A lesions to category 3. Histologic results of biopsy or resection served as the reference standard. RESULTS. The study included 313 patients (mean age, 47.0 ± 14.0 years) with 313 breast lesions (102 malignant, 211 benign). Of BI-RADS category 3 lesions, 6.0% (6/100) were upgraded by CAD to category 4A, of which 16.7% (1/6) were malignant. Of category 4A lesions, 79.1% (87/110) were downgraded by CAD to category 3, of which 4.6% (4/87) were malignant. Diagnostic performance was significantly better after application of CAD, in comparison with before application of CAD, in terms of accuracy (86.6% vs 62.6%, p < .001), specificity (82.9% vs 46.0%, p < .001), and PPV (72.7% vs 46.5%, p < .001) but not significantly different in terms of sensitivity (94.1% vs 97.1%, p = .38) or NPV (96.7% vs 97.0%, p > .99). CONCLUSION. CAD significantly improved radiologists' diagnostic performance, showing particular potential to reduce the frequency of benign breast biopsies. CLINICAL IMPACT. The findings indicate the ability of CAD to improve patient care in settings with incomplete access to breast imaging expertise.

Clinical Application of Computer-Aided Diagnosis System in Breast Ultrasound: A Prospective Multicenter Study.

OBJECTIVES: Ultrasound tends to present very high sensitivity but relatively low specificity and positive predictive value (PPV), which would result in unnecessary breast biopsies. The purpose of this study is to analyze the diagnostic performance of computer-aided diagnosis (CAD) (S-Detect) system in differentiating breast lesions and reducing unnecessary biopsies in non-university hospitals in less-developed regions of China. METHODS: The study was a prospective multicenter study from 8 hospitals. The ultrasound images, and cine, CAD analysis, and BI-RADS were recorded. The accuracy, sensitivity, specificity, PPV, negative predictive value (NPV), and area under the curve (AUC) were analyzed and compared between CAD and radiologists. The Youden Index (YI) was used to determine optimal cut-off for the number of planes to downgrade. RESULTS: A total of 491 breast lesions were included in the study. Less-experienced radiologists combined CAD was superior to less-experienced radiologists alone in AUC (0.878 vs 0.712, p < 0.001), and specificity (81.3% vs 44.6%, p < 0.001). There was no statistical difference in AUC (0.891 vs 0.878, p = 0.346), and specificity (82.3% vs 81.3%, p = 0.791) between experienced radiologists and less-experienced radiologists combined CAD. With CAD assistance, the biopsy rate of less-experienced radiologists was significantly decreased (100.0% vs 25.6%, p < 0.001), and malignant rate of biopsy was significantly increased (15.0% vs 43.9%, p < 0.001). CONCLUSIONS: CAD system can be an effective auxiliary tool in differentiating breast lesions and reducing unnecessary biopsies for radiologists from non-university hospitals in less-developed regions of China.

Discovery of novel tubulin inhibitors targeting taxanes site by virtual screening, molecular dynamic simulation, and biological evaluation.

Microtubules play crucial role in process of mitosis and cell proliferation, which have been considered as attractive drug targets for anticancer therapy. The aim of this study was to discover novel and chemically diverse tubulin inhibitors for treatment of cancer. In this investigation, the multilayer virtual screening methods, including common feature pharmacophore model, structure-based pharmacophore model and molecular docking, were developed to screen BioDiversity database with 30,000 compounds. A total of 102 compounds were obtained by the virtual screening, and further filtered by diverse chemical clusters with desired properties and PAINS analysis. Finally, 50 compounds were selected and submitted to the biological evaluation. Among these hits, hits 8 and 30 with novel scaffolds displayed stronger antiproliferative activity on four human tumor cells including Hela, A549, MCF-7, and HepG2. Moreover, the two hits were subsequently submitted to molecular dynamic simulations of 90 ns with the aim of exploring the stability of ligand-protein interactions into the binding pocket, and further probing the mechanism of the interaction between tubulin and hits. The molecular dynamic simulation results revealed there had stronger interactions between tubulin and hits in equilibrium state. Therefore, the hits 8 and 30 have been well characterized as lead compounds for developing new tubulin inhibitors with potential anticancer activity.

Developing novel in silico prediction models for assessing chemical reproductive toxicity using the naïve Bayes classifier method.

Assessment of reproductive toxicity is one of the important safety considerations in drug development. Thus, in the present research, the naïve Bayes (NB)-classifier method was applied to develop binary classification models. Six important molecular descriptors for reproductive toxicity were selected by the genetic algorithm. Then, 110 classification models were developed using six molecular descriptors and10 types of fingerprints with 11 different maximum diameters. Among these established models, the model based on six molecular descriptors and the SciTegic extended-connectivity fingerprints with 20 maximum diameters (LCFC_20) displayed the best prediction performance for reproductive toxicity (NB-1), which gave a 0.884 receiver operating characteristic (ROC) score and 91.8% overall prediction accuracy for the Training Set, and produced a 0.888 ROC score and 83.0% overall accuracy for the external Test Set I. In addition, for the external rat multi-generation reproductive toxicity dataset (Test Set II), the NB-1 model generated a 0.806 ROC score and 85.1% concordance. The generated prediction results indicated that the NB-1 model could give robust and reliable predictions for a reproductive toxicity potential of chemicals. Thus, the established model could be applied to filter early-stage molecules for potential reproductive adverse effects. In addition, six important molecular descriptors and new structural alerts for reproductive toxicity were identified, which could help medicinal chemists rationally guide the optimization of lead compounds and select chemicals with the best prospects of being safe and effective.

Efficacy and safety of phosphodiesterase 4 inhibitors in patients with asthma: A systematic review and meta-analysis.

Phosphodiesterase 4 (PDE4) inhibitors are a novel medication approved for airway inflammatory diseases including chronic obstructive pulmonary disease. Their role and application in asthma are controversial and not defined. A comprehensive search was performed in major databases (1946-2016) using the keywords: 'phosphodiesterase 4 inhibitor' or 'roflumilast' and 'asthma'. Placebo-controlled trials reporting lung function, airway hyperresponsiveness by direct challenge, asthma control and exacerbations, and adverse events were included. Random or fixed-effects models were used to calculate odds ratios (OR) and mean differences between the two treatment groups. Statistical analyses were conducted using Mann-Whitney U-tests and Cochrane systematic review software, Review Manager. Seventeen studies were included in the systematic review, of which 14 studies were included in the meta-analysis. Except for significant statistical heterogeneity in pre- and post-challenge predicted percentage of forced expiratory volume in 1 s (FEV1 %; I2 = 72%, χ2 = 3.35, P = 0.06), there was no heterogeneity in outcome measures. Roflumilast (500 µg) significantly improved FEV1 (mean difference: 0.05, 95% CI: 0.01-0.09, Z = 2.50, P = 0.01), peak expiratory flow, asthma control and exacerbations, but showed variable effects on airway responsiveness to methacholine and a 20% fall in FEV1 .Of note, PDE4 inhibitors were accompanied with significantly higher adverse events such as headache (OR: 3.99, 95% CI: 1.65-9.66, Z = 3.07, P = 0.002) and nausea (OR: 5.53, 95% CI: 1.38-22.17, Z = 2.41, P = 0.02). In patients with mild asthma, oral PDE4 inhibitors can be considered as an alternative treatment to regular bronchodilators and inhaled controllers.

Can roflumilast, a phosphodiesterase-4 inhibitor, improve clinical outcomes in patients with moderate-to-severe chronic obstructive pulmonary disease? A meta-analysis.

BACKGROUND: Effects of roflumilast on lung function, symptoms, acute exacerbation and adverse events in patients with chronic obstructive pulmonary disease (COPD) are controversial. We aimed to further clarify the efficacy and safety of roflumilast in treatment of moderate-to-severe COPD. METHODS: From 1946 to November 2015, we searched the Pubmed, Embase, Medline, Cochrane Central Register of Controlled Trials, ISI Web of Science and American College of Physician using "roflumilast" and "chronic obstructive pulmonary disease" or "COPD". Randomized controlled trials that reported forced expiratory volume in one second (FEV1), forced vital capacity (FVC), transition dyspnea index (TDI), St George's Respiratory Questionnaire (SGRQ), and incidence of COPD exacerbations and adverse events were eligible. We conducted the heterogeneities test and sensitivity analysis, and random-effects or fixed-effects model was applied to calculate risk ratio (RR) and mean difference (MD) for dichotomous and continuous data respectively. Cochrane systematic review software, Review Manager (RevMan), was used to test the hypothesis by Mann-Whitney U-test. RESULTS: Thirteen trials with a total of 14,563 patients were pooled in our final studies. Except for SGRQ (I (2) = 63 %, χ (2) = 1.71, P = 0.07) and adverse events (I (2) = 94 %, χ (2) = 0.03, P < 0.001), we did not find statistical heterogeneity in outcome measures. The pooled MD of pre- and post-bronchodilator FEV1 was 54.60 (95 % confidence interval (CI) 46.02 ~ 63.18) and 57.86 (95 % CI 49.80 ~ 65.91), and both showed significant improvement in patients with roflumilast (z = 12.47, P <0.001; z = 14.07, P < 0.001), so did in FVC (MD 90.37, 95 % CI 73.95 ~ 106.78, z = 10.79, P < 0.001). Significant alleviation of TDI (MD 0.30, 95 % CI 0.14 ~ 0.46, z = 3.67, P < 0.001) and decrease of acute exacerbation (RR 0.86, 95 % CI 0.81 ~ 0.91, z = 5.54, P < 0.001) were also identified in treatment of roflumilast, but without significant difference in SGRQ (MD -1.30, 95 % CI -3.16 ~ 0.56, z = 1.37, P = 0.17). Moreover, roflumilast significantly increased the incidence of adverse events compared with placebo (RR 1.31, 95 % CI 1.16 ~ 1.47, z = 4.32, P < 0.001). CONCLUSIONS: Roflumilast can be considered as an alternative therapy in selective patients with moderate-to-severe COPD.

[Efficacy and Safety of Tiotropium Bromide in the Treatment of Chronic Obstructive Pulmonary Disease--a Multi-center Randomized Clinical Trial].

OBJECTIVE: To investigate the efficacy and safety of domestic tiotropium inhalation capsule in patients with chronic obstructive pulmonary disease (COPD) with multi-center randomized clinical trial. METHODS: Patients with stable slight to moderate COPD were randomized into trial group (n=109) with tiotropium 18 pg Qd or control group (n =111) with ipratropium 40 µg Qid for a treatment of four weeks. The spirometry and scoring questionaire were recorded at different visits during the treatment. Rescue medication consumption and adverse events were recorded. Results Forced expiratory volume in 1 s (FEV1) of both groups increased obviously 30 min and 3 h after first dosing. After four weeks treatments, FEV, and forced vital capacity (FVC) in both groups were improved obviously, and the improvement in tiotropium group was significantly higher than that ipratropium group. COPD symptom scores were significantly reduced in both groups, and the improvement in tiotropium group was significantly better than that in ipratropium group. There was no significant difference in rescue medication consumption between the two groups. The ratios of adverse events were 22. 02% and 15. 32% in tiotropium and ipratropium group, respectively (P=0. 23). CONCLUSION: Domestic tiotropium inhalation capsule is efficient and safe in the treatment of COPD.

Application of computer-aided diagnosis to predict malignancy in BI-RADS 3 breast lesions.

Purpose: To evaluate the ability of computer-aided diagnosis (CAD) system (S-Detect) to identify malignancy in ultrasound (US) -detected BI-RADS 3 breast lesions. Materials and methods: 148 patients with 148 breast lesions categorized as BI-RADS 3 were included in the study between January 2021 and September 2022. The malignancy rate, accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) were calculated. Results: In this study, 143 breast lesions were found to be benign, and 5 breast lesions were malignant (malignancy rate, 3.4 %, 95 % confidence interval (CI): 0.5-6.3). The malignancy rate rose significantly to 18.2 % (4/22, 95 % CI: 2.1-34.3) in the high-risk group with a "possibly malignant" CAD result (p = 0.017). With a "possibly benign" CAD result, the malignancy rate decreased to 0.8 % (1/126, 95 % CI: 0-2.2) in the low-risk group (p = 0.297). The AUC, sensitivity, specificity, accuracy, PPV, and NPV of the CAD system in BI-RADS 3 breast lesions were 0.837 (95 % CI: 77.7-89.6), 80.0 % (95 % CI: 73.6-86.4), 87.4 % (95 % CI: 82.0-92.7), 87.2 % (95 % CI: 81.8-92.6), 18.2 % (95 % CI: 2.1-34.3) and 99.2 % (95 % CI: 97.8-100.0), respectively. Conclusions: CAD system (S-Detect) enables radiologists to distinguish a high-risk group and a low-risk group among US-detected BI-RADS 3 breast lesions, so that patients in the low-risk group can receive follow-up without anxiety, while those in the high-risk group with a significantly increased malignancy rate should actively receive biopsy to avoid delayed diagnosis of breast cancer.

SULF1 inhibits proliferation and invasion of esophageal squamous cell carcinoma cells by decreasing heparin-binding growth factor signaling.

BACKGROUND: Heparin-binding growth factor signaling is involved in the pathogenesis and development of human cancers. It can be regulated by sulfation of cell-surface heparan sulfate proteoglycans (HSPG). SULF1 is a heparin-degrading endosulfatase which can modulate the sulfation of HSPGs. AIM: The purpose of this study was to elucidate the role of SULF1 in modulating proliferation and invasion of esophageal squamous cell carcinoma (ESCC) by decreasing heparin-binding growth factor signaling. METHODS: We restored SULF1 expression in the ESCC cell line KYSE150, and examined the effects of SULF1 expression on the proliferation and invasion of KYSE150 cells. In addition, we investigated the expression of SULF1 in human ESCC tissues and analyzed the correlation of SULF1 expression with clinicopathologic characteristics of ESCC. RESULTS: Our study shows that re-expression of SULF1 in ESCC cell line results in the downregulation of hepatocyte growth factor-mediated activation of MAPK pathways with a resultant decrease in cell invasiveness. Cell proliferation was also inhibited in SULF1-transfected KYSE150 cells. Immunohistochemical assays reveal that SULF1 is expressed in nearly half of the human ESCC tissues but not in normal esophageal epithelial cells. SULF1 expression in human ESCC tissues is negatively correlated with tumor size and tumor invasion. CONCLUSION: This study identified that SULF1 inhibits proliferation and invasion of ESCC by decreasing heparin-binding growth factor signaling and suggested that SULF1 plays an inhibiting role in the pathogenesis of ESCC.

[A survey of knowledge on common cold in outpatient clinics].

OBJECTIVE: To investigate outpatients' cognition towards common cold and their habituated medication so as to provide evidence for future public healthcare education. METHODS: Patients who attended hospital for diagnosis and treatment of common cold at least within past three months were asked to fill a questionnaire independently so as to learn their cognition towards common cold and medication habit. RESULTS: Among the patients underwent survey, 52.21% had incorrect knowledge about common cold; 12.99% didn't know about the hazards of common cold; 34.80% couldn't distinguish common cold from influenza; 30.07% considered common cold couldn't get relief without treatment; 68.24% didn't know about the proper effects of influenza vaccination; 61.14% often took oral medicine even intravenous injection when they caught a common cold; 59.77% often took medication from drugstore without prescription by doctor, and a few asked doctors to prescribe medicine on their request; 19.42% didn't know about the side effects of drug for cold treatment; and 19.72% didn't know about the active ingredients of drug for cold treatment. There were significant differences in the common cold cognition among population of different ages and education background. The older or the higher education status patients had a better cognition (P < 0.01). CONCLUSION: There exist a certain degree of wrong cognition towards common cold among patients of different literacy degree and different age. Public health education on common cold need to be further strengthened.

[A survey of knowledge on common cold and its treatment situation among physicians from various levels of hospitals in mainland China].

OBJECTIVE: To investigate the cognition of the common cold and current situation of the treatment among physicians from various levels of hospitals in Chinese mainland, so as to provide evidence for future continuing medical education and rational medication. METHODS: A questionnaire designed for this survey was used to learn about the general information, cognitive degree of the common cold and prescription habits of physician who prescribed for cold within last three months, from various levels hospitals. RESULTS: A total of 1001 physicians were interviewed. Among them, 749 physicians chose right options that the cold was the common cold and the influenza with 79.84% in resident physicians and 56.76% in chief physicians. A total of 745 physicians chose options that the course of common cold will be lasting 4 to 7 days; 895 physicians chose options that old people are the most susceptible for complication; 669 physicians thought the common cold was the most common infection in winter; 841 physicians used clinical methods to diagnose the common cold; 736 physicians thought although the cold was a kind of self-limited disease and symptomatic treatment could alleviate symptoms and improve life quality, patients should see doctor in time if it turns to severer; and 745 physicians held the opinion that treatment of the common cold should focus on relieving symptoms first. In addition, 61.60% physicians had made prescription based on clinical symptoms; 505 (54.24%) of them thought compound drugs were priority in treating the common cold. However, there were still 43 physicians prescribed antibiotics for common cold. CONCLUSIONS: There is misunderstanding and discrepancy in cognition towards common cold and treatment among physicians from various levels of hospitals in mainland China. Physicians should standardize diagnosis and treatment for the common cold according to the domestic and foreign guidelines.

Effects of formoterol-budesonide on airway remodeling in patients with moderate asthma.

AIM: To evaluate the effect of inhaled formoterol-budesonide on airway remodeling in adult patients with moderate asthma. METHODS: Thirty asthmatic patients and thirty control subjects were enrolled. Asthmatic subjects used inhaled Symbicort 4.5/160 µg twice daily for one year. The effect of formoterol-budesonide on airway remodeling was assessed with comparing high-resolution computer tomography (HRCT) images of asthmatic patients and controls, as well as expression levels of cytokines and growth factors, inflammatory cell count in induced sputum, and airway hyper-responsiveness. RESULTS: The differences in age and gender between the two groups were not significant. However, differences in FVC %pred, FEV(1) %pred, and PC(20) between the two groups were significant. After treatment with formoterol-budesonide, the asthma patients' symptoms were relieved, and their lung function was improved. The WT and WA% of HRCT images in patients with asthma was increased, whereas treatment with formoterol-budesonide caused these values to decrease. The expression of MMP-9, TIMP-1, and TGF-ß(1) in induced sputum samples increased in patients with asthma and decreased dramatically after treatment with formoterol-budesonide. The WT and WA% are correlated with the expression levels of cytokines and growth factors, inflammatory cell count in induced sputum, and airway hyper-responsiveness, while these same values are correlated negatively with FEV(1)/FVC and FEV(1)%. CONCLUSION: Formoterol-budesonide might interfere in chronic inflammation and airway remodeling in asthmatic patients. HRCT can be used to effectively evaluate airway remodeling in asthmatic patients.

[Effect of RNA interference on CTGF expression and collagen synthesis induced by hypoxia in rat cardiac fibroblasts].

OBJECTIVE: To investigate the effect of the lentiviral vector pGCL-GFP transferred connective tissue growth factor (CTGF) short hairpin RNA (CTGF-ShRNA) on CTGF expression, cell proliferation and collagen synthesis induced by hypoxia in rat cardiac fibroblasts (CFs). METHODS: CTGF-ShRNA plasmids successfully constructed and screened. CFs of adult Sprague-Dawley (SD) rats isolated with the method of trypsin digestion and differential anchoring velocity which randomly divided into the control group, the hypoxia group, Hypo+pGCL-GFP group and Hypo+CTGF-ShRNA group. The mRNA and protein levels of CTGF were detected by means of semi-quantitative reverse transcriptional polymerase chain reaction (RT-PCR) and Western blot 24 h later. Proliferation of CFs was observed by WST-1 coloricmetric assay and synthesis of collagen was observed by the hydroxyproline. RESULTS: Successfully constructed and screened CTGF short hairpin RNA. Compared with control group, the expression of CTGF mRNA and protein levels induced by hypoxia in CFs were markedly up-regulated in Hypoxia, Hypo + pGCL-GFP and Hypo + CTGF-ShRNA group (P < 0.05). CFs proliferation and collagen synthesis in Hypoxia, Hypo+pGCL-GFP and Hypo+CTGF-ShRNA group were significantly higher than that of the control group (P < 0.05). In comparison to Hypoxia and Hypo+pGCL-GFP group, the CTGF mRNA and protein levels induced by hypoxia in CFs were markedly down-regulated in Hypo + CTGF-ShRNA group (P < 0.01). CFs proliferation and collagen synthesis in Hypo+CTGF-ShRNA group were significantly lower than that of the Hypoxia and Hypo+pGCL-GFP group (P < 0.01). CONCLUSION: CTGF mRNA and protein expression, CFs proliferation and collagen synthesis induced by hypoxia in CFs effectively inhibited by CTGF-ShRNA.

[Determination of arsenic, antimony, mercury and selenium in different parts of Acanthopanax senticosus harms by atomic fluorescence spectrometry].

A method for the determination of arsenic, antimony, mercury and selenium in different parts (root, stem, leaf and fruit) of acanthopanax senticosus harms using hydride generation atomic fluorescence spectrometry with microwave digestion was developed. Under the optimized experimental conditions, the concentration of arsenic, antimony, mercury and selenium showed a linear relationship with the fluorescence intensity. The detection limit of arsenic was 0.068 ng x mL(-1), and the RSD was 1.05%. The detection limit of antimony was 0.155 ng x mL(-1), and the RSD was 1.32%. The detection limit of mercury was 0.014 ng x mL(-1), and the RSD was 2.03%. The detection limit of selenium was 0.052 ng x mL(-1), and the RSD was 2.34%. The method was checked in terms of accuracy and precision using the standard reference substance of hair (GBW07601), and proved to be sensitive and rapid with satisfactory results. The content of arsenic, mercury and selenium is high in the leaf, and that of antimony is higher in the root than in other parts.

[Investigation of effect of bicuculline on expression of alpha-smooth muscle actin and airway remodeling in asthmatic mice].

OBJECTIVE: To observe the effect of bicuculline, which is a selective GABA receptor antagonist on expression of alpha-SMA in the lung tissue of rats with chronic asthma, to explore the role of the bicuculline on the airway remodeling in asthmatic mice. METHODS: Forty BALB/c mice were randomly divided into four groups: the control group (A), the asthma model group (B), the bicuculline group (C) and bicuculline with budesonide group (D). The asthmatic model was established by sensitization and challenge with ovalbumin. The expression of alpha-SMA in the lung tissue and the thickness of the airways of mice was detected by semi-quantitative reverse transcription-polymerase chain reaction (RT-PCR) and immunohistochemical staining. RESULTS: There was little expression of alpha-SMA in the lung tissue of normal mice compared with the asthma model group (P < 0.05). The expressions of alpha-SMA in the group C and D decreased compared with that in group B (P < 0.01), but no significant difference (P > 0.05) was observed between group C and D. The WAt/Pbm, WAi/Pbm, and WAm/Pbm were significantly increased in the asthma group compared with that in normal group (P < 0.05), and the WAt/Pbm, WAi/Pbm, and WAm/Pbm were decrased in the group compared with that of group B (P < 0. 01), the wAm/Pbm was decreased in the group C (P < 0. 05). CONCLUSION: Over expression of alpha-SMA in asthmatic lung tissue is closely related to the onset of asthmatic. GABAAR antagonist bicuculline could inhibit the expression of alpha-SMA and alpha-SMA mRNA and alleviate airway remodeling with equivalent potency of inhaled corticosteroid. Our data suggest that GABAAR involve in the pathogenesis of asthmatic airway remodeling by upregulating the expression of alpha-SMA inducing the airway smooth muscle constriction and hyperplasia.

Development of novel in silico prediction model for drug-induced ototoxicity by using naïve Bayes classifier approach.

Some drugs have the potential to cause cellular degeneration of cochlear and/or vestibular system, leading to temporary or permanent hearing loss, innitus, ataxia, dizziness, ear infections, hyperacusis, vertigo, nystagmus and other ear problems. Thus, precise assessment of ototoxicity has become a strong urge task for the toxicologist. In this research, the in silico prediction model of ototoxicity was developed based on 2612 diverse chemicals by using naïve Bayes classifier approach. A set of 7 molecular descriptors considered as important for ototoxicity was selected by genetic algorithm method, and some structural alerts for ototoxicity were identified. The established naïve Bayes prediction model produced 90.2% overall prediction accuracy for the training set and 88.7% for the external test set. We hope the established naïve Bayes prediction model should be employed as precise and convenient computational tool for assessing and screening the chemical-induced ototoxicity in drug development, and these important information of ototoxic chemical structures could provide theoretical guidance for hit and lead optimization in drug design.

Developing novel computational prediction models for assessing chemical-induced neurotoxicity using naïve Bayes classifier technique.

Development of reliable and efficient alternative in vivo methods for evaluation of the chemicals with potential neurotoxicity is an urgent need in the early stages of drug design. In this investigation, the computational prediction models for drug-induced neurotoxicity were developed by using the classical naïve Bayes classifier. Eight molecular properties closely relevant to neurotoxicity were selected. Then, 110 classification models were developed with using the eight important molecular descriptors and 10 types of fingerprints with 11 different maximum diameters. Among these 110 prediction models, the prediction model (NB-03) based on eight molecular descriptors combined with ECFP_10 fingerprints showed the best prediction performance, which gave 90.5% overall prediction accuracy for the training set and 82.1% concordance for the external test set. In addition, compared to naïve Bayes classifier, the recursive partitioning classifier displayed worse predictive performance for neurotoxicity. Therefore, the established NB-03 prediction model can be used as a reliable virtual screening tool to predict neurotoxicity in the early stages of drug design. Moreover, some structure alerts for characterizing neurotoxicity were identified in this research, which could give an important guidance for the chemists in structural modification and optimization to reduce the chemicals with potential neurotoxicity.