Molecular Identification and Survey of Cyclospora spp. in Cattle in Shanxi Province, North China.

To date, more than 20 species in the genus Cyclospora have been reported. Among them, Cyclospora cayetanensis has been recognized as the causative agent of human cyclosporiasis, which is characterized by severe intestinal injury and prolonged diarrhea in patients with immune dysfunction. The presence of C. cayetanensis in cattle has been confirmed. To date, however, no surveillance data are available on the occurrence and prevalence of Cyclospora spp. in cattle in Shanxi Province, North China. In the present study, a total of 761 fecal samples collected from cattle in three representative counties (Qi, Jishan, and Shanyin) in this Province were examined for Cyclospora spp. by using a polymerase-chain-reaction-restriction-fragment-length polymorphism (PCR-RFLP) test based on the nuclear small subunit ribosomal RNA (SSU rRNA) gene. The prevalence of Cyclospora spp. in cattle was 2.1%, and region, age, sex, and breed were not identified to be risk factors. Molecular evolutionary analysis based on the SSU rRNA sequences revealed that all 12 of the isolates were relatively distant from the human pathogen C. cayetanensis; seven isolates were grouped with Cyclospora colobi, whereas the others were grouped with cattle Cyclospora spp. reported previously. Though C. cayetanensis was not detected in cattle in the present study, more investigations should be performed in human populations, other animal species, or cattle from other regions of Shanxi Province and other environmental sources from the One Health perspective.

Molecular Identification and Genotyping of Cryptosporidium spp. and Blastocystis sp. in Cattle in Representative Areas of Shanxi Province, North China.

Both Cryptosporidium spp. and Blastocystis sp. are common intestinal protozoa, which can cause zoonotic diseases and economic losses to livestock industry. To evaluate the prevalence and genetic population structure of Cryptosporidium spp. and Blastocystis sp. in beef and dairy cattle in Shanxi Province, north China, a total of 795 fecal samples were collected from beef and dairy cattle in three representative counties in Shanxi Province, and these fecal samples were examined using molecular approaches based on 18S small-subunit ribosomal RNA (SSU rRNA) of Cryptosporidium spp. and Blastocystis sp., respectively. Among 795 cattle fecal samples, 23 were detected as Cryptosporidium-positive and 103 were detected as Blastocystis-positive, and the overall prevalence of Cryptosporidium spp. and Blastocystis sp. in cattle in Shanxi Province was 2.9% and 13.0%, respectively. For Cryptosporidium spp., DNA sequence analysis indicated that all 23 positive samples were identified as C. andersoni. Furthermore, five known subtypes (ST1, ST10, ST14, ST21 and ST26) and three unknown subtypes of Blastocystis sp. were detected among 103 positive samples using DNA sequence analysis. This study reported the occurrence and prevalence of Cryptosporidium spp. and Blastocystis sp. in cattle in Shanxi Province for the first time, which extends the geographical distribution of these two zoonotic parasites and provides baseline data for the prevention and control of these two important zoonotic parasites in cattle in Shanxi Province.

Molecular Detection and Genotyping of Enterocytozoon bieneusi in Beef Cattle in Shanxi Province, North China.

Enterocytozoon bieneusi is an intracellular pathogen that can parasitize humans and a variety of animals. The infection of E. bieneusi in most hosts is asymptomatic, but in immunocompromised individuals, it can lead to serious complications such as acute diarrhea, dehydration, and even death. However, no data on the prevalence and genotyping of E. bieneusi in beef cattle in Shanxi province are currently available. In this study, a total of 401 fecal samples were collected from beef cattle in farms from two representative counties­Qi county and Jishan county­in Shanxi province, north China. Nested PCR was applied to determine the prevalence and genotypes of E. bieneusi by amplifying and sequencing the internal transcribed spacer (ITS) regions of the rRNA gene. A total of 90 out of 401 samples were detected as E. bieneusi-positive, with 22.44% overall prevalence of E. bieneusi in beef cattle in Shanxi province. The highest prevalence of E. bieneusi was detected in calves (28.67%, 41/143) and male beef cattle (28.13%, 54/192). Statistical analysis revealed that the prevalence of E. bieneusi was significantly associated with gender and age factors (p < 0.05), but without any statistical difference among regions. Moreover, six known E. bieneusi genotypes (BEB4, BEB6, BEB8, J, I, and PigSpEb2) and two novel genotypes (designated CSC1 and CSC2) were identified by analysis of ITS sequences, and genotype I was the predominant genotype in these two counties. Phylogenetic analysis showed that five known genotypes and two novel genotypes were clustered into Group 2, but PigSpEb2 belonged to Group 1. To our knowledge, the present study demonstrated the presence and identified genotypes of E. bieneusi in beef cattle in Shanxi province for the first time, extending the data on prevalence and genotypes of E. bieneusi in beef cattle and providing baseline data for executing intervention measures to control it in the study regions.

Molecular Detection and Genotyping of Enterocytozoon bieneusi in Pigs in Shanxi Province, North China.

Enterocytozoon bieneusi is a common opportunistic intestinal pathogen that can cause acute diarrhea in immunosuppressed humans and animals. Though E. bieneusi has been widely detected in pigs around the world, little is known of its prevalence and genotype distribution in pigs in Shanxi province, north China. In this study, a total of 362 fecal samples were collected from pigs in three representative counties in north, south, and central Shanxi province, China. The prevalence and genotypes of E. bieneusi were investigated by nested PCR amplification of the ribosomal internal transcribed spacer (ITS) region of the ribosomal RNA (rRNA) gene. Overall, the prevalence of E. bieneusi in pigs in Shanxi province was 54.70% (198/362). Statistical analysis showed the difference in prevalence was statistically significant between regions (χ2 = 41.94, df = 2, P < 0.001) and ages (χ2 = 80.37, df = 1, P < 0.001). In addition, 16 genotypes of E. bieneusi were identified in this study by sequence analysis of the ITS region, including 15 known genotypes (EbpC, EbpA, EbpB, pigEb4, PigEBITS5, I, Henan-I, G, WildBoar 7, SH10, EbpD, CHC5, PigSpEb1, PigSpEb2, and CHG19) and one novel genotype (designated as PigSX-1). Phylogenetic analysis revealed that 14 known genotypes and the novel genotype were clustered into Group 1, whereas genotype I belonged to Group 2. To the best of our knowledge, this is the first report on the prevalence and genotypes of E. bieneusi in pigs in Shanxi province. These findings enrich the genetic diversity of E. bieneusi and provide the baseline data for the prevention and control of E. bieneusi in pigs in the study regions.

Molecular Identification and Genotyping of Enterocytozoon bieneusi in Sheep in Shanxi Province, North China.

Enterocytozoon bieneusi is a fungus-like protist that can cause malabsorption and diarrhea in sheep, other animals, and humans, threatening the development of animal husbandry and public health. To date, there are no data about the prevalence and genotypes of E. bieneusi in sheep in Shanxi Province, North China. In this study, 492 fecal samples were collected from sheep in three representative counties in northern, central, and southern Shanxi Province. Nested PCR amplification was performed to detect the prevalence and identify the genotypes of E. bieneusi based on the internal transcribed spacer (ITS) region of the rRNA gene. Overall, 168 of 492 examined samples were E. bieneusi-positive, with a prevalence of 34.2% (168/492). Significant differences in the prevalence of E. bieneusi were observed among the three sampled regions (χ2 = 95.859, df = 2, p < 0.001), but the differences in E. bieneusi prevalence were not statistically significant between different genders and age groups (p > 0.05). Sequence analysis showed that four known genotypes (BEB6, COS-I, CHS7, and CHC8) and one novel genotype (named SY-1) were identified. BEB6 was the prevalent genotype found within the three counties. Phylogenetic analysis revealed that the five genotypes observed in this study belong to Group 2. The present study reported the presence and genotypes of E. bieneusi infection in sheep in Shanxi Province for the first time, which enriches the knowledge of the genetic diversity of E. bieneusi and provides baseline data for the prevention and control of E. bieneusi infection in animals and humans.

Exploring Dual Agonists for PPARα/γ Receptors using Pharmacophore Modeling, Docking Analysis and Molecule Dynamics Simulation.

BACKGROUND: The Peroxisome Proliferator-Activated Receptors (PPARs) are ligandactivated transcription factors belonging to the nuclear receptor family. The roles of PPARα in fatty acid oxidation and PPARγ in adipocyte differentiation and lipid storage have been widely characterized. Compounds with dual PPARα/γ activity have been proposed, combining the benefits of insulin sensitization and lipid lowering into one drug, allowing a single drug to reduce hyperglycemia and hyperlipidemia while preventing the development of cardiovascular complications. METHODS: The new PPARα/γ agonists were screened through virtual screening of pharmacophores and molecular dynamics simulations. First, in the article, the constructed pharmacophore was used to screen the Ligand Expo Components-pub database to obtain the common structural characteristics of representative PPARα/γ agonist ligands. Then, the accepted ligand structure was modified and replaced to obtain 12 new compounds. Using molecular docking, ADMET and molecular dynamics simulation methods to screen the designed 12 ligands, analyze their docking scores when they bind to the PPARα/γ dual targets, their stability and pharmacological properties when they bind to the PPARα/γ dual targets. RESULTS: We performed pharmacophore-based virtual screening for 22949 molecules in Ligand Expo Components-pub database. The compounds that were superior to the original ligand were performed structural analysis and modification, and a series of compounds with novel structures were designed. Using precise docking, ADMET prediction and molecular dynamics methods to screen and verify newly designed compounds, and the above compounds show higher docking scores and lower side effects. CONCLUSION: 9 new PPARα/γ agonists were obtained by pharmacophore modeling, docking analysis and molecular dynamics simulation.

Design, synthesis, biological evaluation and molecular dynamics simulation studies of imidazolidine-2,4-dione derivatives as novel PTP1B inhibitors.

Protein tyrosine phosphatase 1B (PTP1B) is a member of the phosphotyrosine phosphatase family and plays an important role in the signal transduction of diabetes. Inhibition of PTP1B activity can increase insulin sensitivity and reduce blood sugar levels. Therefore, it is urgent to find compounds with novel structures that can inhibit PTP1B. This study designed imidazolidine-2,4-dione derivatives through the computer-aided drug design (CADD) strategy, and the Comp#10 showed outstanding inhibitory ability. (IC50 = 2.07 µM) and selectivity. The inhibitory mechanism at molecular level of Comp#10 on PTP1B was studied by molecular dynamics simulation. The results show that the catalytic region of PTP1B protein is more stable, which makes the catalytic sites unsuitable for exposure. Interestingly, the most obvious changes in the interaction between residues in the P-loop region (such as: His214, Cys215, and Ser216). In short, this study reported for the first time that imidazolidine-2,4-dione derivatives as novel PTP1B inhibitors had good inhibitory activity and selectivity, providing new ideas for the development of small molecule PTP1B inhibitors.

In-silico identification of peroxisome proliferator-activated receptor (PPAR)α/γ agonists from Ligand Expo Components database.

PPARα and PPARγ play important roles in regulating glucose and lipid metabolism. In recent years, the development of dual PPAR agonists has become a hot topic in the field of anti-diabetic medicinal chemistry. The dual PPARα/γ agonists can both improve metabolism and reduce side effects caused by single drugs, and has become a promising strategy for designing effective drugs for the treatment of type 2 diabetes. In this study, by means of virtual screening, molecular docking and ADMET prediction technology, a representative compound with higher docking score, lower toxicity than original ligands was gained from the Ligand Expo Components database. It was observed through MD simulation that the representative compound not only has the function of activating the PPARα target and the PPARγ target, but also show a more favorable binding mode when the representative compound binds to the two receptors compared to the original ligands. Our results provided an approach to rapidly find novel PPARα/γ dual agonists for the treatment of type 2 diabetes mellitus (T2DM).This paper explores novel compounds targeting PPARα/γ dual agonists by using molecular docking, ADMET prediction, and molecular dynamics simulation methods. The specific flowchart is as follows: HighlightsThe results show that the skeleton of compound M80 is not only similar to Saroglitazar but also higher than that of Saroglitazar in activity.This study explained the binding modes of saroglitazar-PPARα/γ complexes and provided structure reference for the research and development of novel PPARα/γ dual agonists.

Virtual identification of novel PPARα/γ dual agonists by 3D-QSAR, molecule docking and molecular dynamics studies.

Peroxisome proliferator-activated receptors (PPARs) are considered important targets for the treatment of Type 2 diabetes (T2DM). To accelerate the discovery of PPAR α/γ dual agonists, the comparative molecular field analysis (CoMFA) were performed for PPARα and PPARγ, respectively. Based on the molecular alignment, highly predictive CoMFA model for PPARα was obtained with a cross-validated q2 value of 0.741 and a conventional r2 of 0.975 in the non-cross-validated partial least-squares (PLS) analysis, while the CoMFA model for PPARγ with a better predictive ability was shown with q2 and r2 values of 0.557 and 0.996, respectively. Contour maps derived from the 3D-QSAR models provided information on main factors towards the activity. Then, we carried out structural optimization and designed several new compounds to improve the predicted biological activity. To investigate the binding modes of the predicted compounds in the active site of PPARα/γ, a molecular docking simulation was carried out. Molecular dynamic (MD) simulations indicated that the predicted ligands were stable in the active site of PPARα/γ. Therefore, combination of the CoMFA and structure-based drug design results could be used for further structural alteration and synthesis and development of novel and potent dual agonists. AbbreviationsDMdiabetes mellitusT2DMtype 2 diabetesPPARsperoxisome proliferator-activated receptorsLBDDligand based drug design3D-QSARthree-dimensional quantitative structure activity relationshipCoMFAcomparative molecular field analysisPLSpartial least squareLOOleave-one-outq2cross-validated correlation coefficientONCoptimal number of principal componentsr2non-cross-validated correlation coefficientSEEstandard error of estimateFthe Fischer ratior2predpredictive correlation coefficientDBDDNA binding domainMDmolecular dynamicsRMSDroot-mean-square deviationRMSFroot mean square fluctuationsCommunicated by Ramaswamy H. Sarma.

Discovery of novel and highly selective PI3Kδ inhibitors based on the p110δ crystal structure.

Communicated by Ramaswamy H. Sarma.

Virtual identification of novel peroxisome proliferator-activated receptor (PPAR) α/δ dual antagonist by 3D-QSAR, molecule docking, and molecule dynamics simulation.

The therapeutic potential of PPARs antagonists extends beyond diabetes. PPARs antagonists represent a new drug class that holds promise as a broadly applicable therapeutic approach for cancer treatment. Thus, there is a strong need to develop a rational design strategy for creating PPARs antagonists. In this study, three-dimensional quantitative structure-activity relationship (3D-QSAR) models of PPARα receptor (CoMFA-1, q 2 = 0.636, r 2 = 0.953; CoMSIA-1, q 2 = 0.779, r 2 = 0.999) and PPARδ receptor (CoMFA-2, q 2 = 0.624, r 2 = 0.906; CoMSIA-2, q 2 = 0.627, r 2 = 0.959) were successfully constructed using 35 triazolone ring derivatives. Contour map analysis revealed that the electrostatic and hydrophobic fields played vital roles in the bioactivity of dual antagonists. Molecular docking studies suggested that the hydrogen bonding, electrostatic and hydrophobic interactions all influenced the binding of receptor-ligand complex. Based on the information obtained above, we designed a series of compounds. The docking results were mutually validated with 3D-QSAR results. Three-dimensional-QSAR and absorption, distribution, metabolism, excretion and toxicity (ADMET) predictions indicated that 19 newly designed compounds possessed excellent biological activity and physicochemical properties. In summary, this research could provide theoretical guidance for the structural optimization of novel PPARα and δ dual antagonists. Communicated by Ramaswamy H. Sarma.

Identification of novel PPARα/γ dual agonists by pharmacophore screening, docking analysis, ADMET prediction and molecular dynamics simulations.

PPARα and PPARγ play an important role in regulating glucose and lipid metabolism. The single and selective PPARα or PPARγ agonists have caused several side effects such as edema, weight gain and cardiac failure. In the recent years, the dual PPARs agonist development has become a hot topic in the antidiabetic medicinal chemistry field. In this paper, the compound CHEMBL230490 were gained from CHEMBL database, by means of complex-based pharmacophore (CBP) virtual screening, molecular docking, ADMET prediction and molecular dynamics (MD) simulations. The compound CHEMBL230490 not only displayed higher binding scores and better binding modes with the active site of PPARα a/γ, but also had more favorable the pharmacokinetic properties and toxicity evaluated by ADMET prediction. The representative compound CHEMBL230490 was performed to MDs for studying a stable binding conformation. The results indicated that the CHEMBL230490 might be a potential antidiabetic lead compound. The research provided a valuable approach in developing novel PPARα/γ dual agonists for the treatment of type 2 diabetes mellitus (T2DM).

Identification of novel PI3Kδ inhibitors by docking, ADMET prediction and molecular dynamics simulations.

BACKGROUND: Phosphoinositide-3-kinase Delta (PI3Kδ) plays a key role in B-cell signal transduction and inhibition of PI3Kδ is confirmed to have clinical benefit in certain types of activation of B-cell malignancies. Virtual screening techniques have been used to discover new molecules for developing novel PI3Kδ inhibitors with little side effects. METHOD: Computer aided drug design method were used to rapidly screen optimal PI3Kδ inhibitors from the Asinex database. Virtual screening based molecular docking was performed to find novel and potential lead compound targeting PI3Kδ, at first. Subsequently, drug likeness studies were carried out on the retrieved hits to evaluate and analyze their drug like properties such as absorption, distribution, metabolism, excretion, and toxicity (ADMET) for toxicity prediction. Three least toxic compounds were selected for the molecular dynamics (MD) simulations for 30 ns in order to validate its stability inside the active site of PI3Kδ receptor. RESULTS: Based on the present in silico analysis, two molecules have been identified which occupied the same binding pocket confirming the selection of active site. ASN 16296138 (Glide score: -12.175 kcal/mol, cdocker binding energy: -42.975 kcal/mol and ΔGbind value: -90.457 kcal/mol) and BAS 00227397 (Glide score: -10.988 kcal/mol, cdocker binding energy: -39.3376 kcal/mol and ΔGbind value: -81.953 kcal/mol) showed docking affinities comparatively much stronger than those of already reported known inhibitors against PI3Kδ. These two ligand's behaviors also showed consistency during the simulation of protein-ligand complexes for 30000 ps respectively, which is indicative of its stability in the receptor pocket. CONCLUSION: Compound ASN 16296138 and BAS 00227397 are potential candidates for experimental validation of biological activity against PI3Kδ in future drug discovery studies. This study smoothes the path for the development of novel leads with improved binding properties, high drug likeness, and low toxicity to humans for the treatment of cancer.

Virtual identification of novel PPARα/γ dual agonists by scaffold hopping of saroglitazar.

The thiazolidinedione class PPARγ agonists as antidiabetic agents are restricted in clinical use because of the side effects such as edema, weight gain, and heart failure. The single and selective agonism of PPARγ is the main cause of side effects. The multi-target cooperative PPARα/γ dual agonist development is a hot topic in the antidiabetic medicinal chemistry field. Saroglitazar is the first approved PPARα/γ dual agonist, available in India for the treatment of diabetic dyslipidemia. It got rid of these side effects. With the aim of finding more protent PPARα/γ dual agonists, the scaffold hopping was used to replace α-o phenylpropionic acid skeleton of saroglitazar with L-tyrosine skeleton. Then, the structural modification was carried out designing 72 compounds. Considering the importance of chirality, opposite configuration of 72 compounds was also studied. 12 compounds with better -cdocker energy were screened by molecular docking. Subsequently, the pharmacokinetic properties and toxicity evaluated by ADMET prediction, 11 of them showed better properties. Comp#L-17-1 and comp#L-3-1 were regarded as representatives to study the binding stability by molecular dynamics (MD) simulations. The MD simulation results of comp#L-17-1-PPARs (α, γ) and comp#L-3-1-PPARs (α, γ) provided structure reference for the research and development of novel PPARα/γ dual agonists.

Clinical characteristics of tobacco smoke-induced versus biomass fuel-induced chronic obstructive pulmonary disease.

OBJECTIVE: To investigate differences in clinical features between tobacco smoke-induced and biomass fuel-induced chronic obstructive pulmonary disease (COPD). METHODS: We retrospectively analyzed 206 patients with COPD caused by exposure to tobacco smoke and 81 cases of COPD caused by exposure to biomass fuels who received treatment in our hospital between 2011 March and 2014 March. Difference in general health status, clinical symptoms, the dyspnea score, and comorbidities between the two groups were compared. In addition, pulmonary function, grading, and acute exacerbations were also compared. RESULTS: (1) Difference in general health status: Male and female patients with COPD caused by exposure to tobacco smoke were 83.5 and 16.5%, respectively. Male and female patients with COPD caused by exposure to smoke from biomass fuels were 14.8 and 85.2% (χ2 = 27.2, P < 0.05), respectively. Tobacco smoke-induced COPD was more prevalent in men, and COPD caused by exposure to smoke from biomass fuels was more prevalent in women. After gender adjustment, body mass index (BMI) was lower in women with COPD caused by exposure to smoke from biomass fuels than those by tobacco smoke. There was no statistically significant difference in other indicators, such as age. (2): Difference in clinical symptoms: No statistically significant difference in the modified British Medical Research Counsel (mMRC) Questionnaire, a measure of breathlessness, was observed between the two groups. Dyspnea was more common in COPD patients that was caused by exposure to biomass fuels (38.3%) than by tobacco smoke (11.1%) (χ2 = 17.9, P < 0.05). The comorbidities of allergic diseases (such as allergic rhinitis, bronchial asthma) were more prevalent in COPD patients that was caused by exposure to smoke from biomass fuels (43.2%) than by tobacco smoke (18%) (χ2 = 16.1, P < 0.05). However, COPD comorbid with lung cancer was more prevalent in those cases that were caused by exposure to tobacco smoke (7.77%) than in cases caused by exposure to smoke from biomass fuels (3.7%) (χ2 = 9.7, P < 0.05). (3) Differences in grading of pulmonary function: After gender adjustment, patients with COPD caused by exposure to biomass fuels were mostly in grade B or D. (4) Exacerbations: No significant difference in exacerbations per year was noted between the two groups. CONCLUSIONS: Marked differences exist between patients with COPD caused by exposure to tobacco smoke and smoke from biomass fuels. Patients with COPD caused by exposure to biofuels are mostly females with lower BMI and often with many clinical symptoms and complications, such as allergic rhinitis and bronchial asthma. Such patients are often in stage B or D. Tobacco smoke-induced COPD is more prevalent in male patients, often with complications in the form of lung cancer.

[An in vitro study on the pharmacological ascorbate treatment of influenza virus].

OBJECTIVE: To investigate the effects and mechanism of pharmacological ascorbate against Influenza A/CA/7/09 (H1N12009). METHODS: NHBE cells (≈ 95% confluent monolayer) in 12-well plates (Corning) were kept at 37°C at all times. NHBE cells were exposed to A/CA/7/09 (H1N12009) influenza virus at MOI of 0.01 for 1 h, rinsed with NHBE medium, and incubated with NHBE medium containing 20 mmol/L ascorbate or 20 mmol/L ascorbate +600 IU/ml Catalase. The cells were then incubated for an additional 4 - 12 h and the culture medium was harvested for titration. Viral titers were determined as log(10) 50% tissue culture infective doses (TCID50) assay in MDCK cells. Ascorbate in NHBE medium was determined using HPLC separation coupled with coulometric electrochemical detection. Hydrogen peroxide was detected indirectly by Clark-type oxygen electrode. RESULTS: In vitro experiments showed that pharmacological ascorbate killed not only isolated viruses, but also viruses from normal human bronchial epithelial cells. The antiviral effect of ascorbic acid appeared to be dose-dependent. 2.5 mmol/L ascorbic acid was able to eliminate 90% of the viruses and 20 mmol/L ascorbic acid totally blocked viral replication in vitro. The antiviral effect of pharmacological ascorbate varied at different phases of infection. Pharmacological ascorbate eliminated viral infectivity with treatment times as short as 4 hours at early stage of infection. But the effect was reversed by catalase. CONCLUSION: Pharmacological ascorbate (vitamin C) as a pro-drug eliminates or kills influenza virus, probable by producing steady-state concentrations of hydrogen peroxide (H2O2) in extracellular fluid.