Genetics and rheumatoid arthritis susceptibility in Iran

Rheumatoid arthritis (RA) is an autoimmune disorder with a number of risk factors, including both genetic and environmental. A number of RA risk associated genomic loci has been identified. In this review, we summarize the association of genetic factors with RA reported in population studies in Iran. No significant association was found between the majority of genetic factors identified in other populations and risk for RA in the Iranian subjects. This conflicting result could be due to the ethnic differences and diversity that are present in Iran. We conclude that there is a need to investigate larger groups of Iranian subjects, encompassing different regions of Iran, to either prove or refute these initial findings.     

Genetic diversity and geographic distribution of Bemisia tabaci and Trialeurodes vaporariorum in Costa Rica

The tobacco whitefly Bemisia tabaci (Gennadius) cryptic species complex and of the greenhouse whitefly Trialeurodes vaporariorum (Westwood) are extensively reported as destructive pests in vegetable crops worldwide. A survey was conducted in 2011 and 2012 to determine the occurrence and genetic diversity present in the populations of these whiteflies in the major vegetable production areas of Costa Rica. Insect samples were collected from sweet pepper (Capsicum annuum L.), tomato (Solanum lycopersicum L.), common bean (Phaseolus vulgaris L.) and weeds present in commercial crops either in open field or greenhouse conditions. PCR‐RFLP analysis of mitochondrial cytochrome c oxidase subunit 1 gene (mtCOI) sequences of 621 whitefly individuals confirmed the presence of the Mediterranean (MED) type of the B. tabaci and of T. vaporariorum in most sampled regions. Also, individuals of the Middle East‐Asia Minor 1 (MEAM1) type of the B. tabaci were observed in low numbers. Contingency analyses based on type of crop, geographical region, whitefly species, year of collection and production system confirmed that T. vaporariorum was the most frequent species in vegetable production areas in Costa Rica, both in greenhouses and in open fields. B. tabaci MED is likely spreading to new areas of the country, whereas B. tabaci MEAM1 was mostly absent or rarely found. Comparisons of mtCOI sequences from B. tabaci individuals revealed the presence of four B. tabaci sequence haplotypes (named MED‐i, MED‐ii, MEAM1‐i, MEAM1‐xviii) in Costa Rica, three of them identical to B. tabaci haplotypes previously reported in the Western Hemisphere and other parts of the world. Analysis of sequences of T. vaporariorum individuals revealed a more complex population with the presence of 11 haplotypes, two of which were identical to T. vaporariorum sequences reported from other countries.     

A varying‐coefficient generalized odds rate model with time‐varying exposure: An application to fitness and cardiovascular disease mortality

Varying‐coefficient models have become a common tool to determine whether and how the association between an exposure and an outcome changes over a continuous measure. These models are complicated when the exposure itself is time‐varying and subjected to measurement error. For example, it is well known that longitudinal physical fitness has an impact on cardiovascular disease (CVD) mortality. It is not known, however, how the effect of longitudinal physical fitness on CVD mortality varies with age. In this paper, we propose a varying‐coefficient generalized odds rate model that allows flexible estimation of age‐modified effects of longitudinal physical fitness on CVD mortality. In our model, the longitudinal physical fitness is measured with error and modeled using a mixed‐effects model, and its associated age‐varying coefficient function is represented by cubic B‐splines. An expectation‐maximization algorithm is developed to estimate the parameters in the joint models of longitudinal physical fitness and CVD mortality. A modified pseudoadaptive Gaussian‐Hermite quadrature method is adopted to compute the integrals with respect to random effects involved in the E‐step. The performance of the proposed method is evaluated through extensive simulation studies and is further illustrated with an application to cohort data from the Aerobic Center Longitudinal Study.     

Colorimetric biosensor using dual-amplification of enzyme-free reaction through universal hybridization chain reaction system

On-site genetic detection needs to develop a sensitive and straightforward biosensor without special equipment, which can detect various genetic biomarkers. Hybridization chain reaction (HCR) amplifying signal isothermally could be considered as a good candidate for on-site detection. Here, we developed a novel genetic biosensor on the basis of enzyme-free dual-amplification of universal hybridization chain reaction (uHCR) and hemin/G-quadruplex horseradish peroxidase (HRP)-mimicking DNAzyme. The uHCR is the strategy which enables simple design for multiple target detection by the introduction of target-specific trigger hairpin without changing the whole system according to a target change. Also, HRP-mimicking DNAzyme could produce a sensitive and quantitative colorimetric signal with increased stability with a limit of detection (LOD) of 5.67 nM. The universality of the uHCR biosensor was proven by the detection of four different targets (miR-21, miR-125b, KRAS-Q61K, and BRAF-V600E) for cancer diagnosis. The uHCR biosensor showed specificity that could discriminate single-nucleotide polymorphism. Moreover, the uHCR biosensor could detect targets in the diluted serum sample. Overall, the uHCR biosensor demonstrated the potential for field testing with a simple redesign without complicated steps or special equipment using a universal hairpin system and enzyme-free amplification. This strategy could enable stable and sensitive detection of a variety of targets. Therefore, it could be applied to urgent detection of various pathogens, remote diagnosis, and self-screening of diseases.