Combined superposition effect of hypertension and dyslipidemia on left ventricular hypertrophy

Background : Hypertension and dyslipidemia are considered reversible risk factors for cardiovascular disease. The purpose of this study was to explore the impact of traditional and nontraditional blood lipid profiles on the risk of left ventricular hypertrophy(LVH) and to explore the superposition effect of dyslipidemia combined with hypertension.Methods : Data on 9134 participants(53.5 ±10.3 years old) from the Northeast China Rural Cardiovascular Health Study(NCRCHS) were statistically analyzed. The blood lipid profile was measured by total cholesterol(TC), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), total glyceride(TG), and calculated nontraditional blood lipid indices including non-HDL-C, atherosclerosis index(AI), TC/HDL-C, and residual cholesterol(RC).Results : After the adjustment of age and gender, the odds ratios(ORs) of LVH in patients with hypertension, high LDL-C, high non-HDL-C, high AI, and high TC/HDL-C were 3.97(3.31– 4.76), 1.27(1.02– 1.59), 1.21(1.04– 1.39), 1.33(1.15– 1.53), and 1.42(1.22– 1.65), respectively. After full adjustment of potential confounding factors, high AI and TC/HDL-C were associated with LVH rather than traditional blood lipid indices.The combination of hypertension and nontraditional dyslipidemia(defined by high AI and TC/HDL-C) was associated with the highest risk of LVH, especially in participants under 45 years of age. The risk was more significant in men, 5.09-fold and 6.24-fold,respectively, compared with 3.66-fold and 4.01-fold in women.Conclusions : People with dyslipidemia defined by nontraditional blood lipid indices(high AI and high TC/HDL-C) and hypertension were more likely to develop LVH.

JUNO sensitivity on proton decay p→νK^(+)searches

The Jiangmen Underground Neutrino Observatory(JUNO)is a large liquid scintillator detector designed to explore many topics in fundamental physics.In this study,the potential of searching for proton decay in the p→νK^(+)mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification.Moreover,the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals.Based on these advantages,the detection efficiency for the proton decay via p→νK^(+)is 36.9%±4.9%with a background level of 0.2±0.05(syst)±0.2(stat)events after 10 years of data collection.The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 years,which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies.

氮素添加对内蒙古草甸草原生态系统CO_2交换的影响

氮沉降增加将影响草原生态系统固碳,但如何影响草原生态系统CO_2交换目前为止还没有定论。同时,不同类型和剂量氮素对生态系统CO_2交换影响的差异也不明确。选取内蒙古额尔古纳草甸草原,开展了不同类型氮肥和不同剂量氮素添加条件下生态系统CO_2交换的野外测定。实验设置尿素和缓释尿素2种类型氮肥各5个剂量水平(0、5.0、10.0、20.0和50.0g N·m^(–2)·a^(–1))。结果显示,生长季初期及中期降雨量低时,氮素添加抑制生态系统CO_2交换;而生长季末期降雨量较高时促进生态系统CO_2交换。随着氮素添加水平的提高,NEE和GEP均显著增加,当氮素添加量达到10 g N·m^(–2)·a^(–1)时,NEE和GEP的响应趋于饱和。2种氮肥(尿素和缓释尿素)仅在施氮量为5 g N·m^(–2)·a^(–1)时,缓释尿素对生态系统CO_2交换的促进作用显著大于尿素,在其它添加剂量时差异不显著。研究结果表明:氮素是该草甸草原生态系统的重要限制因子,但氮沉降增加对生态系统CO_2交换的影响强烈地受降雨量与降雨季节分配的限制,不同氮肥(尿素和缓释尿素)对生态系统CO_2交换作用存在差异。

Sub-percent precision measurement of neutrino oscillation parameters with JUNO

JUNO is a multi-purpose neutrino observatory under construction in the south of China.This publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the experiment.The sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite detector.It is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data collection.In the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering hypothesis.The new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.

Abundance of antibiotic resistance genes and their association with bacterial communities in activated sludge of wastewater treatment plants: Geographical distribution and network analysis

Wastewater treatment plants(WWTPs) are deemed reservoirs of antibiotic resistance genes(ARGs). Bacterial phylogeny can shape the resistome in activated sludge. However, the co-occurrence and interaction of ARGs abundance and bacterial communities in different WWTPs located at continental scales are still not comprehensively understood. Here, we applied quantitative PCR and Miseq sequence approaches to unveil the changing profiles of ARGs(sul1, sul2, tet W, tet Q, tet X), int I1 gene, and bacterial communities in 18 geographically distributed WWTPs. The results showed that the average relative abundance of sul1 and sul2 genes were 2.08 × 10^(-1) and 1.32 × 10^(-1) copies/16 S rRNA copies, respectively. The abundance of tet W gene was positively correlated with the Shannon diversity index(H′), while both studied sul genes had significant positive relationship with the int I1 gene. The highest average relative abundances of sul1, sul2, tet X, and int I1 genes were found in south region and oxidation ditch system. Network analysis found that 16 bacterial genera co-occurred with tet W gene. Co-occurrence patterns were revealed distinct community interactions between aerobic/anoxic/aerobic and oxidation ditch systems. The redundancy analysis model plot of the bacterial community composition clearly demonstrated that the sludge samples were significant differences among those from the different geographical areas,and the shifts in bacterial community composition were correlated with ARGs. Together,these findings from the present study will highlight the potential risks of ARGs and bacterial populations carrying these ARGs, and enable the development of suitable technique to control the dissemination of ARGs from WWTPs into aquatic environments.

增加氮素放大了水分对物种组成变化和生产力提高的影响

水分和氮素是旱地生态系统中的重要资源,二者对群落结构和生态系统功能的影响存在着复杂的交互作用。未来降水(降雨与降雪)变化将如何影响地上净初级生产力(ANPP)尚未研究清楚,尤其是当降水变化与氮沉降引起的氮有效性增加相互结合时。在本研究中,我们探讨了半干旱温带典型草原对增加降水(降雨与降雪)和氮素的响应,包括群落生产力、两种主要植物功能群、多年生根茎禾草(PR)和多年生丛生禾草(PB)的多度和地上生物量的变化。研究结果发现,夏季增雨略微增加了群落的ANPP,显著增加了PR的多度和地上生物量,而对PB的多度和地上生物量没有影响。夏季增雨提高了PR生物量在ANPP中的占比,降低了PB生物量的占比。春季增雪对上述两个植物功能群地上生物量均无显著影响,尽管它对群落ANPP有一定的提高。在夏季增雨条件下,氮素添加显著增加了群落ANPP,主要是由于增加了PR的生物量,说明氮和水分添加对群落ANPP存在较强的交互作用,并在很大程度上通过提高PR生物量来实现。我们发现随着降水量的增加,施氮对生产力的正效应呈非线性增加。上述结果表明,在未来大气氮沉降增加的情景下,降水增加对草地生产力的影响将得到进一步放大。