Pierceroberts5053

Essential hypertension is a complex disease determined by the interaction of genetic and environmental factors, eNOS is considered to be one of the susceptible genes for hypertension. Our study aimed to evaluate the association between eNOS rs1799983 polymorphism and hypertension, and to provide evidence for the etiology of hypertension.

Case-control studies of eNOS rs1799983 polymorphism and hypertension were included by searching PubMed, Embase, Web of Science, Medline, Scopus, WanFang datebase, Vip datebase, and CNKI database according to PRISMA guideline. Eligible data were extracted and pooled, and were analyzed using R software based on five different genetic models.

A total of 60 eligible articles involving 14,185 cases and 13,407 controls were finally selected. We found significant association between eNOS rs1799983 polymorphism and hypertension under any genetic model (T vs G OR = 1.44, 95% CI 1.26-1.63; GT vs GG OR 1.34, 95% CI 1.18-1.52; TT vs GG OR 1.80, 95% CI 1.41-2.31; GT + TT vs GG OR 1.42, 95% CI 1.25-1.63; TT vs GG + GT OR 1.68, 95% CI 1.35-2.08; GT vs GG + TT OR 1.24, 95% CI 1.11-1.40).

We found that eNOS rs1799983 polymorphism is associated with the increased risk of hypertension under any genetic model. Moreover, investigations of gene-gene and gene-environment interactions are needed to give more insight into the association between eNOS rs1799983 polymorphism and hypertension.

We found that eNOS rs1799983 polymorphism is associated with the increased risk of hypertension under any genetic model. Moreover, investigations of gene-gene and gene-environment interactions are needed to give more insight into the association between eNOS rs1799983 polymorphism and hypertension.

Non-participation in cohort studies, if associated with both the exposure and occurrence of the event, can introduce bias in the estimates of interest. This study aims to identify factors associated with follow-up participation in Tehran Lipid and Glucose Study, a large-scale community-based prospective study in West Asia.

A sample of 10,368 adults from TLGS was included in the analysis. All analyses were split according to sex and age groups (20-39, 40-59, and 60years). The associations between socio-demographic, health, and lifestyle factors with response rate were identified using the Generalized Estimating Equations model.

Over the median of 15.7years of follow up the response rate was 64.5%. The highest response rate was observed in those aged 40-59years for both sexes. Current smokers had lower odds of response in both sexes for all age groups, ranging from 0.51 to 0.74, p < 0.01. In young adults, being single (OR = 0.79, OR = 0.57, p ≤ 0.01, respectively for men and women) and unemployed (OR =and lifestyle factors in different sex- and age-specific patterns in TLGS. Recruitment strategies targeting these factors may improve participant follow-up in longitudinal studies.

Synthetic gene drive technologies aim to spread transgenic constructs into wild populations even when they impose organismal fitness disadvantages. The extraordinary diversity of plausible drive mechanisms and the range of selective parameters they may encounter makes it very difficult to convey their relative predicted properties, particularly where multiple approaches are combined. The sheer number of published manuscripts in this field, experimental and theoretical, the numerous techniques resulting in an explosion in the gene drive vocabulary hinder the regulators' point of view. We address this concern by defining a simplified parameter based language of synthetic drives.

Employing the classical population dynamics approach, we show that different drive construct (replacement) mechanisms can be condensed and evaluated on an equal footing even where they incorporate multiple replacement drives approaches. Using a common language, it is then possible to compare various model properties, a task desired ment, informing policies, and enhancing public engagement with proposed and future gene drive approaches.

Placenta is a complex organ that plays a significant role in the maintenance of pregnancy health. It is a dynamic organ that undergoes dramatic changes in growth and development at different stages of gestation. In the first-trimester, the conceptus develops in a low oxygen environment that favors organogenesis in the embryo and cell proliferation and angiogenesis in the placenta; later in pregnancy, higher oxygen concentration is required to support the rapid growth of the fetus. IWP-4 purchase This oxygen transition, which appears unique to the human placenta, must be finely tuned through successive rounds of protein signature alterations. This study compares placental proteome in normal first-trimester (FT) and term human placentas (TP).

Normal human first-trimester and term placental samples were collected and differentially expressed proteins were identified using two-dimensional liquid chromatography-tandem mass spectrometry.

Despite the overall similarities, 120 proteins were differently expressed in first and proteins involved in regulation of placental function during development.

According to Reactome and PANTHER softwares, these proteins were mostly involved in response to chemical stimulus and stress, regulation of biological quality, programmed cell death, hemostatic and catabolic processes, protein folding, cellular oxidant detoxification, coagulation and retina homeostasis. Elucidation of alteration in protein signature during placental development would provide researchers with a better understanding of the critical biological processes of placentogenesis and delineate proteins involved in regulation of placental function during development.

The rise of spatial transcriptomics technologies is leading to new insights about how gene regulation happens in a spatial context. Determining which genes are expressed in similar spatial patterns can reveal gene regulatory relationships across cell types in a tissue. However, many current analysis methods do not take full advantage of the spatial organization of the data, instead treating pixels as independent features. Here, we present CoSTA a novel approach to learn spatial similarities between gene expression matrices via convolutional neural network (ConvNet) clustering.

By analyzing simulated and previously published spatial transcriptomics data, we demonstrate that CoSTA learns spatial relationships between genes in a way that emphasizes broader spatial patterns rather than pixel-level correlation. CoSTA provides a quantitative measure of expression pattern similarity between each pair of genes rather than only classifying genes into categories. We find that CoSTA identifies narrower, but biologict genes are from similar but not identical biological sections.

Tuberculosis (TB) and indoor air pollution (IAP) are equally critical public health issues in the developing world. Mongolia is experiencing the double burden of TB and IAP due to solid fuel combustion. However, no study has assessed the relationship between household solid fuel use and TB in Mongolia. The present study aimed to assess the association between household solid fuel use and TB based on data from the Mongolian National Tuberculosis Prevalence Survey (MNTP Survey).

The MNTP Survey was a nationally representative population-based cross-sectional survey targeting households in Mongolia from 2014 to 2015, with the aim of evaluating the prevalence of TB. The survey adopted a multistage cluster sampling design in accordance with the World Health Organization prevalence survey guidelines. Clusters with at least 500 residents were selected by random sampling. A sample size of 98 clusters with 54,100 participants was estimated to be required for the survey, and 41,450 participants were included in thegolian adults. Increased public awareness is needed on the use of household solid fuels, a source of IAP.In this study, we present a preliminary investigation of the characteristic changes in microplastic during the production process of sea salt in China. Five representative samples, including seawater, saturated brine, crude salt, coarse salt, and refined salt were successively collected from the production process of sea salt sourced from the Bohai Sea in China. The pretreatment method of microplastics was optimised and evaluated by the recovery rates of particle references. Microplastic characteristics in the five samples were investigated using consistent pretreatment, microscopic, and spectroscopic analyses. Results indicated that microplastics were present in every stage of sea salt production. During the "journey" of microplastics in salt production from seawater-to-seawater evaporation, to salt crystallisation, and external force processing, the abundance of microplastics with size ranging from 18 μm to 4936 μm increased substantially from 23 ± 8 to 413 ± 61 particles kg-1, while the proportion of larger microplastics (≥1000 μm) decreased from 33% to 9%. The results illustrate the effect of the production process on microplastic contamination of sea salt.Swimming performances are multifactorial and primarily include anthropometric, hydrodynamic, bioenergetic and biomechanical factors whose contributions depend on age, gender, swimming distance and swimming stroke. An integrative and multivariate approach to swimming captures the complexity and various pathways of performance, but swimming technique is generally examined through such parameters as stroke index, propelling efficiency, stroke length and stroke rate. The first originality of our narrative review is to present the state of art of the methods to collect and measure inter-limb coordination in the four swimming techniques, with a particular focus on the effect of skill. The second part provides readers with an overview of the current findings on the main factors that influence inter-limb coordination (i.e., swimming speed, drag and the manipulation of stroke rate) following a physical approach.The aim of this study was to evaluate the detoxification of aflatoxin B1 (AFB1) in vitro and in broiler chickens using a triple-action compound mycotoxin detoxifier (CMD). Response surface methodology (RSM) was used to evaluate AFB1 detoxification in artificial gastrointestinal fluid (AGIF) in vitro. The AFB1-degradation rate was 41.5% (P less then .05) when using a compound probiotic (CP) in which the visible counts of Bacillus subtilis, Lactobacillus casein, Enterococcus faecalis and Candida utilis were 1.0 × 105, 1.0 × 105, 1.0 × 107 and 1.0 × 105 CFU/mL, respectively. When CP was combined with 0.1% AFB1-degrading enzyme to give CPADE, the AFB1-degradation rate was increased to 55.28% (P less then .05). The AFB1-removal rate was further increased to above 90% when CPADE was combined with 0.03% montmorillonite to make CMD. In vivo, a total of 150 one-day-old Ross broilers were allotted to 3 groups, 5 replications for each group, 10 broilers in each replication. Group A basal diet, Group B basal diet with 40 μg/kg AFB1, Group C basal diet with 40 μg/kg AFB1 plus CMD. The feeding experiment period was 21 d. The results showed that broiler growth was increased, and AFB1 residues in serum, excreta and liver were decreased by CMD addition in broiler diet (P less then .05). In conclusion, CMD was able to remove AFB1 efficiently in vitro and to increase broiler production performance and reduce AFB1 residues in the chickens.