Aerobic training increases the expression of adiponectin receptor genes in the peripheral blood mononuclear cells of young men

Little is known about the effect of exercise training on the expression of adiponectin receptor genes in peripheral blood mononuclear cells (PBMCs). In this study, we investigated the effects of aerobic training on the expression of AdipoR1 and AidpoR2 mRNAs in PBMCs, whole body insulin sensitivity, and circulating adiponectins in men. Thirty young men were randomly assigned to either a control (n=15) or an exercise (n=15) group. Subjects assigned to the exercise group underwent a 12-week jogging and/or running programme on a motor-driven treadmill at an intensity of 60%-75% of the age-based maximum heart rate with duration of 40 minutes per session and a frequency of 5 days per week. Two-way mixed ANOVA with repeated measures was used to test any significant time-by-group interaction effects for the measured variables at p=0.05. We found significant time-by-group interaction effects for waist circumference (p=0.001), VO_2max (p<0.001), fasting insulin (p=0.016), homeostasis model assessment for insulin resistance (HOMA-IR) (p=0.010), area under the curve (AUC) for insulin response during the 75-g oral glucose tolerance test (p=0.002), high-molecular weight (HMW) adiponectin (p=0.016), and the PBMC mRNA levels of AdipoR1 (p<0.001) and AdipoR2 (p=0.001). The exercise group had significantly increased mRNA levels of AdipoR1 and AdipoR2 in PBMCs, along with increased whole body insulin sensitivity and HMW adiponectin, decreased waist circumference, and increased VO_2max compared with the control group. In summary, the current findings suggest that exercise training modulates the expression of AdipoR1 and AdipoR2 mRNAs in PBMCs, implying that manipulation of the expression of these genes could be a potential surrogate for lifestyle intervention-mediated improvements of whole body insulin sensitivity and glucose homeostasis.     

Introducing DNA-based methods to compare fungal microbiota and concentrations in indoor,outdoor, and personal air

Inhalation of airborne fungi is known to cause respiratory illnesses such as allergies. However, the association between exposure and health outcomes remains largely unclear, in part due to lack of knowledge about fungal exposure in daily life. This study aims to introduce DNA-based methods such as high-throughput sequencing (HTS) and quantitative polymerase chain reaction (qPCR) to compare fungal microbiota and concentrations in indoor, outdoor, and personal air. Five sets of concurrent indoor, outdoor, and personal air samples were collected, each with duration of 4 days. Sequencing analysis revealed greater species richness in personal than indoor air for four out of the five sets, indicating that people are exposed to outdoor species that are not in indoor air. The personal–indoor (P/I) and personal–outdoor (P/O) ratios of total fungi were 1.2 and 0.15, respectively, suggesting that personal exposure to total fungi is better represented by indoor than outdoor concentrations. However, the ratios were taxon dependent, highlighting the complexity of generalizing personal exposure to the diverse kingdom Fungi. These results demonstrate that the HTS/qPCR method is useful for assessing taxon-specific fungal exposure, which might be difficult to achieve effectively using conventional, non-DNA-based techniques.     

Caecal environment of rats fed far East Asian-modelled diets

To clarify the effect of type of foods on the intestinal environment, Far East Asian- (FEA; rich in rice starch, soy protein and soy oil) and Far East Asian marine- (FEAM; rich in rice starch, fish meal, fish oil and brown alga) modelled diets and sucrose, casein and beef tallow-rich (SCB) diet were prepared. After the 2-week administration of diets in rats, caecal organic acids and putrefactive compounds (ammonia, indole, phenol and H₂S, which are regarded as putative risk factors for tumours) were determined. The caecal microbiota was also analyzed using denaturing gradient gel electrophoresis and pyrosequencing with bar-coded primers targeting the bacterial 16S rRNA gene. Levels of n-butyrate, acetate, indole and phenol were high in rats fed FEA. On the other hand, H₂S was clearly suppressed by both FEA and FEAM comparing with SCB. These results suggest that FEAM is preferable to FEA for optimal intestinal environment and host health. Both microbial analyses showed that the diversity of microbiota in the FEAM group was lower than in the other diet groups. Ratio of Firmicutes, Bacteroidetes and Proteobacteria in the SCB group was about 5:4:1. Firmicutes, particularly Lachnospiraceae, was promoted by FEA and FEAM.     

大肠杆菌FC40系统静止期突变中的F因子转移

本研究采用大肠杆菌GM133 rifr细胞和营养收集细胞HB214 strr进行适应性突变实验。在混合30min和2d 后添加链霉素杀死GM133基因型细胞,继续培养5d后,在选择平板上出现了一定数量的lac+strr基因型回复突变菌落。根据这些突变菌落的数量,估计在lac+突变产生之前,GM133和HB214细胞之间的接合频率分别为0.07%和7.47%。在培养了7d的选择平板上添加含链霉素的M9选择培养基,2d 后也观察到大量发生lac+突变但没有形成肉眼可见菌落的营养收集细胞。此外,在lac+突变发生后,也有F因子从GM133细胞转移进入HB214细胞。这些事实表明,在FC40系统的适应性突变实验中发生了真正的F因子转移。Abstract:The experiment of adaptive mutation was performed by using Escherichia coli GM133 rifr as test cells and HB214 strr as scavenger cells.Transfer frequency between GM133 and HB214 was estimated,based on the number of revertants appeared on the selective plates when GM133 were killed by addition of M9 selective medium containing 100μg/mL of streptomycin at different time.After 30 minutes the cells of GM133 and HB214 were mixed,the estimated transfer frequency was about 0.07%,and two days,7.47%.After selection of 7 days,some HB214 cells with F` factor from GM133 cells and lac+ mutation were observed,but these cells failed to form the colonies which can be seen by the naked-eye.It was demonstrated that actual F` factor transfer events from test cells GM133 to scavenger cells HB214 occurred during the selection.     

Diagnosis of Helicobacter pylori bacterial infections using a voltammetric biosensor

The voltammetric assay of Helicobacter pylori DNA was investigated using a bismuth-immobilized carbon nanotube electrode (BCNE). The analytical cyclic voltammetry (CV) peak potential was obtained at a 0.4 V reduction scan, where the diagnostic optimum square-wave (SW) stripping working range was achieved at 0.72-7.92 μg/mL H. pylori DNA (11 points). A relative standard deviation of 1.68% (RSD, n = 5) was obtained with 3.2 mg/mL H. pylori DNA using a 240 s accumulation time. Under optimum conditions, detection limit was 0.06 μg/mL. The developed sensors can be used for clinical application in the 15th doubted human gastric tissues, since the patient's peak current increased a hundred times more than the negative healthy tissue did. The sensing time obtained was only two minutes, and the process was simpler compared to common PCR amplification and electrophoresis photometric detection systems.     

Improved reduced representation bisulfite sequencing for epigenomic profiling of clinical samples

Background

DNA methylation plays crucial roles in epigenetic gene regulation in normal development and disease pathogenesis. Efficient and accurate quantification of DNA methylation at single base resolution can greatly advance the knowledge of disease mechanisms and be used to identify potential biomarkers. We developed an improved pipeline based on reduced representation bisulfite sequencing (RRBS) for cost-effective genome-wide quantification of DNA methylation at single base resolution. A selection of two restriction enzymes (Taq^αI and MspI) enables a more unbiased coverage of genomic regions of different CpG densities. We further developed a highly automated software package to analyze bisulfite sequencing results from the Solexa GAIIx system.

Results

With two sequencing lanes, we were able to quantify ~1.8 million individual CpG sites at a minimum sequencing depth of 10. Overall, about 76.7% of CpG islands, 54.9% of CpG island shores and 52.2% of core promoters in the human genome were covered with at least 3 CpG sites per region.

Conclusions

With this new pipeline, it is now possible to perform whole-genome DNA methylation analysis at single base resolution for a large number of samples for understanding how DNA methylation and its changes are involved in development, differentiation, and disease pathogenesis.