Polymorphism of Pro12Ala in the peroxisome proliferator-activated receptor 2 gene in Iranian diabetic and obese subjects

Background: Peroxisome proliferator-activated receptor 2 (PPAR2) is a nuclear receptor that regulates adipocyte differentiation, lipid metabolism, and insulin sensitivity. The aim of this study was to investigate the association between the Pro12Ala single nucleotide polymorphism (SNP) at the PPAR2 gene and type II diabetes (T2DM) and obesity in an Iranian population. Methods: The genomic DNA of the 312 subjects included four groups: (1) nonobese with type II diabetes, (2) obese without type II diabetes, (3) obese with type II diabetes, and (4) nondiabetic nonobese controls. The Pro12Ala polymorphism was detected by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis. Results: Frequencies of the Ala allele in obese subjects were significantly different from those control subjects (odds ratio [OR], 2.358; 95% confidence interval [CI], 1.101-5.05) (P = 0.025). In contrast, no significant association was detected between the Pro12Ala polymorphism and type II diabetes (OR, 0.652; 95% CI, 0.261-1.628). In all subjects, the Ala carriers had a higher body mass index (BMI) compared with the common allele. Conclusions: Our results showed that the Pro12Ala polymorphism in the PPAR2 gene is associated with obesity in Iranian subjects and the presence of the Ala allele could predict higher BMI. © 2009 Mary Ann Liebert, Inc

Eye Bleeding Due to Leech Infestation in an Ischemic Heart- Disease Patient

A 49-year-old Iranian male with diagnosis of ischemic heart disease (IHD) and arterial hypertension (AH) was admitted at Emergency Ward of Vase’ee Hospital of Sabzevar, Iran. As well, the patient had red eye and left eye bleeding. On eye examination, leech infestation was found to be the cause of the eye bleeding. In the endemic regions in a patient presenting red eye and eye bleeding, leech infestation came up to be an important differential diagnosis. Therefore, to prevent leech infestation in endemic regions, local people are advised to be informed more effectively about the necessity to use safe, clean, and filtered drinking water, and a perfect scrutiny for leeches or other sources of infestation that should be undertaken before bathing

Bounds on several versions of restrained domination number

We investigate several versions of restraineddomination numbers and present new bounds on these parameters. We generalize theconcept of restrained domination and improve some well-known bounds in the literature.In particular, for a graph $G$ of order $n$ and minimum degree $\delta\geq 3$, we prove thatthe restrained double domination number of $G$ is at most $n-\delta+1$. In addition,for a connected cubic graph $G$ of order $n$ we show thatthe total restrained domination number of $G$ is at least $n/3$ andthe restrained double domination number of $G$ is at least $n/2$

Study of clonal variation of 'Bidaneh Ghermez' grapevine cultivar in Iran

ArticleGrapevine (Vitis vinifera L.) is a well - known plant including different cultivars and clones. In spite of the extensive works at the cultivar level, identification and determination of clonal genetic variation has remained as a challenge. To assess the genetic variation between clones of grapevine cv. 'Bidaneh Ghermez', 20 selected clones were analyzed for cluster weight (CW), cluster length (CL), cluster width (CWI), berry weight (BW), berry length (BL), berry width (BWI) and total soluble solids (TSS) in randomized complete block design with three replications. Analysis of variance reveale d considerable genetic variation for all measured traits (except cluster width) among clones. Cluster analysis, discriminant function analysis and principal component analysis (PCA) showed same results and all clones assigned in 2 groups. First group was including 9 clones and second group was including 11 clones. Overall, our results indicated C7, C10, C12 and C14 clones were best clones and have potential to introduce promising clones for stablishing new vineyard with high yield

Multi-period Project Portfolio Selection under Risk considerations and Stochastic Income

This paper deals with multi-period project portfolio selection problem. In this problem, the available budget is invested on the best portfolio of projects in each period such that the net profit is maximized. We also consider more realistic assumptions to cover wider range of applications than those reported in previous studies. A novel mathematical model is presented to solve the problem, considering risks, stochastic incomes, and possibility of investing extra budget in each time period. Due to the complexity of the problem, an effective meta-heuristic method hybridized with a local search procedure is presented to solve the problem. The algorithm is based on genetic algorithm (GA), which is a prominent method to solve this type of problems. The GA is enhanced by a new solution representation and well selected operators. It also is hybridized with a local search mechanism to gain better solution in shorter time. The performance of the proposed algorithm is then compared with well-known algorithms, like basic genetic algorithm (GA), particle swarm optimization (PSO), and electromagnetism-like algorithm (EM-like) by means of some prominent indicators. The computation results show the superiority of the proposed algorithm in terms of accuracy, robustness and computation time. At last, the proposed algorithm is wisely combined with PSO to improve the computing time considerably

Effects of imidacloprid, indoxacarb and endosulfan on egg, third-instar larva and pupa of green lacewing Chrysoperla carnea (Neu.: Chrysopidae)

The common green lacewing is a known biocontrol agent because of its wide geographical distribution, high compatibility with different agricultural systems, high searching ability and ease of rearing. Adults and larvae were reared on artificial diet and eggs of Anagasta kuehniella (Zell.) respectively. The toxicity of insecticides was assessed on eggs (dipping method), third-instar larvae (contact method), and pupae (topical application) of Chrysoperla carnea Stephens. In order to study the sublethal effects, the third-instar larvae were treated with recommended field rate of each insecticide. The effects of the insecticides were assessed using demographic toxicology methods. Rearing conditions were 26 ± 2ºC, 60 ± 10% relative humidity and a photoperiod of 16: 8 h (L: D). The results revealed that the insecticides did not affect eggs even at doses higher than recommended field rates. The LD50 values, of endosulfan, imidacloprid and indoxacarb for pupal stage were estimated to be 144, 33, and 21 µg ai/insect respectively. Since the insecticides did not affect the third-instar larvae at the recommended field rate, the LC50 was not estimated for this stage. The results showed that, only net reproduction rate (R0) was significantly affected by treatments. The highest and lowest amounts of rm were 0.176 and 0.152 for control and indoxacarb treatmnets respectively. Based on both acute toxicity and demographic toxicology methods, the rate of toxicity of the tested insecticides was as follows: indoxacarb > endosulfan > imidacloprid

Asymmetric Genome Organization in an RNA Virus Revealed via Graph-Theoretical Analysis of Tomographic Data

Cryo-electron microscopy permits 3-D structures of viral pathogens to be determined in remarkable detail. In particular, the protein containers encapsulating viral genomes have been determined to high resolution using symmetry averaging techniques that exploit the icosahedral architecture seen in many viruses. By contrast, structure determination of asymmetric components remains a challenge, and novel analysis methods are required to reveal such features and characterize their functional roles during infection. Motivated by the important, cooperative roles of viral genomes in the assembly of single-stranded RNA viruses, we have developed a new analysis method that reveals the asymmetric structural organization of viral genomes in proximity to the capsid in such viruses. The method uses geometric constraints on genome organization, formulated based on knowledge of icosahedrally-averaged reconstructions and the roles of the RNA-capsid protein contacts, to analyse cryo-electron tomographic data. We apply this method to the low-resolution tomographic data of a model virus and infer the unique asymmetric organization of its genome in contact with the protein shell of the capsid. This opens unprecedented opportunities to analyse viral genomes, revealing conserved structural features and mechanisms that can be targeted in antiviral drug desig