Effects of CYP24A1 polymorphisms on premature ejaculation: a case-control study.

Premature ejaculation (PE) is a common male sexual dysfunction disorder, and is considered to have the genetic predisposition. However, the internal regulation mechanisms is still unclear. Hence, this study intended to explore the effects of genetic polymorphisms of CYP24A1 on the risk of PE. This case-control study genotyped three SNPs of CYP24A1 (rs2762934, rs1570669 and rs6068816) from 139 PE patients and 372 healthy men using Agena MassARRAY platform. Collected data was then processed in SPSS 18.0. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated in logistic regression analysis to evaluate the associations between CYP24A1 polymorphisms and the PE risk. The results suggested that allele A of rs1570669 was significantly associated with the increased PE risk (OR=1.38, 95% CI=1.04-1.84, P=0.026). Meanwhile, we also identified rs1570669 as a risk factor of PE under the additive model (OR=1.47, 95% CI=1.02-2.11, P=0.039) by comparing the genotypic distributions between cases and controls, and genotype AA of rs1570669 was detected to be significantly related with an increased risk of PE under the codominant model (OR=2.26, 95% CI=1.06-4.83, P=0.036). This study is the first to proved that the genetic variants of CYP24A1 played essential role in affecting the susceptibility to PE in Chinese Han.

Different responses of nitrite- and nitrate-dependent anaerobic methanotrophs to increasing nitrogen loading in a freshwater reservoir.

Nitrite (NO2-)- and nitrate (NO3-)-dependent anaerobic oxidation of methane (AOM) are two new additions in microbial methane cycle, which potentially act as important methane sinks in freshwater aquatic systems. Here, we investigated spatial variations of community composition, abundance and potential activity of NO2-- and NO3--dependent anaerobic methanotrophs in the sediment of Jiulonghu Reservoir (Zhejiang Province, China), a freshwater reservoir having a gradient of increasing nitrogen loading from upstream to downstream regions. High-throughput sequencing of total bacterial and archaeal 16S rRNA genes showed the cooccurrence of Candidatus Methylomirabilis oxyfera (M. oxyfera)-like and Candidatus Methanoperedens nitroreducens (M. nitroreducens)-like anaerobic methanotrophs in the examined reservoir sediments. The community structures of these methanotrophs differed substantially between the sediments of upstream and downstream regions. Quantitative PCR suggested higher M. oxyfera-like bacterial abundance in the downstream (8.6 × 107 to 2.8 × 108 copies g-1 dry sediment) than upstream sediments (2.4 × 107 to 3.5 × 107 copies g-1 dry sediment), but there was no obvious difference in M. nitroreducens-like archaeal abundance between these sediments (3.7 × 105 to 4.8 × 105 copies g-1 dry sediment). The 13CH4 tracer experiments suggested the occurrence of NO2-- and NO3--dependent AOM activities, and their rates were 4.7-14.1 and 0.8-2.6 nmol CO2 g-1 (dry sediment) d-1, respectively. Further, the rates of NO2--dependent AOM in downstream sediment were significantly higher than those in upstream sediment. The NO3- concentration was the key factor affecting the spatial variations of abundance and activity of NO2--dependent anaerobic methanotrophs. Overall, our results showed different responses of NO2-- and NO3--dependent anaerobic methanotrophs to increasing nitrogen loading in a freshwater reservoir.

Spatio-temporal variations and factors of a provincial PM2.5 pollution in eastern China during 2013-2017 by geostatistics.

Fine particulate matter (PM2.5) is a typical air pollutant and has adverse health effects across the world, especially in the rapidly developing China due to significant air pollution. The PM2.5 pollution varies with time and space, and is dominated by the locations owing to the differences in geographical conditions including topography and meteorology, the land use and the characteristics of urbanization and industrialization, all of which control the pollution formation by influencing the various sources and transport of PM2.5. To characterize these parameters and mechanisms, the 5-year PM2.5 pollution patterns of Jiangsu province in eastern China with high-resolution was investigated. The Kriging interpolation method of geostatistical analysis (GIS) and the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model were conducted to study the spatial and temporal distribution of air pollution at 110 sites from national air quality monitoring network covering 13 cities. The PM2.5 pollution of the studied region was obvious, although the annual average concentration decreased from previous 72 to recent 50 µg m-3. Evident temporal variations showed high PM2.5 level in winter and low in summer. Spatially, PM2.5 level was higher in northern (inland, heavy industry) than that in eastern (costal, plain) regions. Industrial sources contributed highest to the air pollution. Backward trajectory clustering and potential source contribution factor (PSCF) analysis indicated that the typical monsoon climate played an important role in the aerosol transport. In summer, the air mass in Jiangsu was mainly affected by the updraft from near region, which accounted for about 60% of the total number of trajectories, while in winter, the long-distance transport from the northwest had a significant impact on air pollution.

Evaluation of zinc oxide nanoparticles on lettuce (Lactuca sativa L.) growth and soil bacterial community.

The wide spread of nanoparticles (NPs) has caused tremendous concerns on agricultural ecosystem. Some metallic NPs, such as zinc oxide (ZnO), can be utilized as a nano-fertilizer when used at optimal doses. However, little is known about the responses of plant development and concomitant soil bacteria community to ZnO NPs. The present pot experiment studied the impacts of different doses of ZnO NPs and bulk ZnO (0, 1, 10, 100 mg ZnO/kg), on the growth of lettuce (Lactuca sativa L.) and the associated rhizospheric soil bacterial community. Results showed that at a dose of 10 mg/kg, ZnO NPs and bulk ZnO, enhanced the lettuce biomass and the net photosynthetic rate; whereas, the Zn content in plant tissue was higher in NPs treatment than in their bulk counterpart at 10 mg/kg dose or higher. For the underground observations, 10 mg/kg treatment doses (NPs or bulk) significantly changed the soil bacterial community structure, despite the non-significant variations in alpha diversity. Taxonomic distribution revealed that some lineages within Cyanobacteria and other phyla individually demonstrated similar or different responses to ZnO NPs and bulk ZnO. Moreover, some lineages associated with plant growth promotion were also influenced to different extents by ZnO NPs and bulk ZnO, suggesting the distinct microbial processes occurring in soil. Collectively, this study expanded our understanding of the influence of ZnO NPs on plant performance and the associated soil microorganisms.

DNA-based stable isotope probing identifies formate-metabolizing methanogenic archaea in paddy soil.

Paddy methane (CH4) production is biologically dominated by methanogenic archaea that metabolize a variety of organic and/or inorganic carbon sources. Though formate is easily dissimilated into H2/CO2, formate-metabolizing methanogenic archaea are distinct from CO2-utilizing methanogen taxa. The identity of formate-metabolizing methanogenic archaea in paddy soil remains elusive. In this investigation, molecular approaches based on stable isotope probing (SIP) technique were conducted to identify the formate-metabolizing methanogenic archaea in paddy soil. CH4 emission monitor, real-time quantitative PCR (qPCR) and Denaturing Gradient Gel Electrophoresis (DGGE) analyses consistently indicated that some methanogenic archaea metabolized 13C-labeled formate in microcosm and accounted for a large portion of formate-metabolizing archaea in anoxic paddy soil. Phylogenetic identification further found that this guild was affiliated to Methanobacteriaceae. Taken together Methanobacteriaceae could be the dominant formate-metabolizing methanogenic archaea and play an important role in the CH4 production in paddy soil. These findings would extend the extant knowledge on paddy methanogenic archaea and microbial-driven paddy CH4 emission.

Influence of the interaction between long noncoding RNAs and hypoxia on tumorigenesis.

The interaction between cancer and its microenvironment is crucial for survival and development of cancerous cells. Tumor microenvironment is usually under hypoxia, which promotes tumor aggressiveness like growth, angiogenesis, and metastasis. How cancer cells respond to hypoxia and the resultant impact on tumorigenesis are not yet fully explored. Long noncoding RNAs (lncRNAs) have been attracting more and more attention since their functions in regulating gene expression at chromatic, transcriptional, and posttranscriptional levels were found. lncRNAs are dysregulated in cancer and act as oncogenes or tumor suppressors. Moreover, emerging evidence has been provided that the expression of lncRNAs changes with the stimulus of hypoxia and they in turn produce a significant influence on the hypoxia-inducible factor (HIF), the most common transcription regulator in response to hypoxia. In this review, we discuss the recent findings of hypoxia-responsive lncRNAs and summarize their interaction with hypoxia to further understand their roles in cancer growth, metabolism, angiogenesis, and metastasis and their potential for cancer diagnosis and treatment.