10 research outputs found

    Polymorphisms in the ADRB2 gene and Graves disease: a case-control study and a meta-analysis of available evidence

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>The beta-2-Adrenergic receptor (<it>ADRB2</it>) gene on chromosome 5q33.1 is an important immunoregulatory factor. We and others have previously implicated chromosomal region 5q31-33 for contribution to the genetic susceptibility to Graves disease (GD) in East-Asian populations. Two recent studies showed associations between the single nucleotide polymorphism (SNP) rs1042714 in the <it>ADRB2 </it>gene and GD. In this study, we aimed to fully investigate whether the <it>ADRB2 </it>gene conferred susceptibility to GD in Chinese population, and to perform a meta-analysis of association between <it>ADRB2 </it>and GD.</p> <p>Methods</p> <p>Approximately 1 kb upstream the transcription start site and the entire coding regions of the <it>ADRB2 </it>gene were resequenced in 48 Han Chinese individuals to determine the linkage disequilibrium (LD) patterns. Tag SNPs were selected and genotyped in a case-control collection of 1,118 South Han Chinese subjects, which included 428 GD patients and 690 control subjects. A meta-analysis was performed with the data obtained in the present samples and those available from prior studies.</p> <p>Results</p> <p>Fifteen SNPs in the <it>ADRB2 </it>gene were identified by resequencing and one SNP was novel. Ten tag SNPs were investigated further to assess association of <it>ADRB2 </it>in the case-control collection. Neither individual tag SNP nor haplotypes showed association with GD in Han Chinese population (P > 0.05). Our meta-analysis of the <it>ADRB2 </it>SNP rs1042714 measured heterogeneity between the ethnic groups (I<sup>2 </sup>= 53.1%) and no association to GD was observed in the overall three studies with a random effects model (OR = 1.13, 95% CI, 0.95 to 1.36; P = 0.18). However, significant association was found from the combined data of Caucasian population with a fixed effects model (OR = 1.18, 95% CI, 1.06 to 1.32; P = 0.002; I<sup>2 </sup>= 5.9%).</p> <p>Conclusion</p> <p>Our study indicated that the <it>ADRB2 </it>gene did not exert a substantial influence on GD susceptibility in Han Chinese population, but contributed to a detectable GD risk in Caucasian population. This inconsistency resulted largely from between-ethnicity heterogeneity.</p

    Role of microbes in plant protection using intersection of nanotechnology and biology

    No full text
    Published online: 15 Aug 2018Plant pathogens are one of the dominating components which restrain crop productivity. Preliminary step headed for managing plant disease is to accurately recognize the pathogen under lab, glasshouse, and field conditions. Modern approach, such as culture-based, antibody-based rapid methods and quantitative polymerase chain reaction (Q-PCR), entrusts on multiple assays to precisely identify the specific plant pathogens which are further time-consuming and lack high sensitivity. Nanobiotechnology ameliorates crop productivity through transmission of genes to target sites for breeding of varieties resistant to different plant pathogens with focus on improving sensitivity. Intersection of nanotechnology and biology also improves specificity and agility of pathogen detection which further facilitates crop disease management. Bio-fabrication of nanoparticles like silver (Ag) and copper (Cu) is used as novel antimicrobials for the management of pathogenic microorganisms that inhibits fungal hyphae and conidial germination in agricultural crops. Biological agents reduce metal which leads to capping of nanoparticles through the secretion of various enzymes. A modern class of protein nanocompartments called as encapsulins that encapsulate cargo proteins are found in bacteria and archaea. Nanobiotechnology also reduces detection times of crop pathogens and cost by the development of biosensors and phage proteins. In this chapter we emphasize on microbial semblance in nanobiotechnology applications that precede to integrated disease management of agricultural crops including precise diagnostic layout of plant diseases and modification of crop environments to adversely affect crop pathogens
    corecore