Icariin inhibits RANKL-induced osteoclastogenesis via modulation of the NF-κB and MAPK signaling pathways

The receptor activator of nuclear factor-κB (NF-κB) ligand (RANKL)-RANK regulatory axis is a major regulator of osteoclast differentiation and activation. Icariin, a flavonol glycoside isolated from the Epimedium herb, has been reported to prevents bone loss in ovariectomized mice and inhibits wear particle-induced osteolysis. However, the molecular mechanism through which icariin inhibits RANKL-induced osteoclastogenesis has not been fully understood. Therefore, we aimed to investigate the effects of icariin on RANKL-induced osteoclastogenesis and to elucidate the mechanism underlying this effect. Our results showed that RANKL-induced osteoclastogenesis was inhibited by icariin in bone marrow macrophages (BMMs) and RAW264.7?cells, and that this effect was due to suppression of NF-κB and mitogen-activated protein kinase (MAPK) activation. In addition, icariin inhibited F-actin ring formation and attenuated the bone resorption ability of mature osteoclasts. Collectively, our results indicate that icariin may be a promising potential candidate for the treatment of osteolytic diseases such as osteoporosis. Moreover, our findings lay the foundation for understanding and intervening in osteoclast-related diseases at the molecular level.     

红松人工林树冠大小与果实产量关系的研究

以黑龙江省佳木斯市孟家岗林场红松人工林为研究对象,基于12块样地70株枝解析数据及21块固定样地2008~2010年的结实量数据,利用异速生长方程建立立木树冠体积和表面积预估模型,同时对树冠大小与欠年、平年、丰年的红松结实量进行了相关分析。结果表明:树冠体积和表面积与冠长、胸径、冠幅和树高均显著相关,其中与胸径相关系数最大,与树高相关系数最小。本文所建立的模型确定系数R2都在0.55以上,预测精度大多数在85%以上。利用所建立的树冠体积与表面积模型,我们分析了其对结实量的影响。结果显示,红松人工林结实量与其树冠体积大小以及与树冠表面积大小呈线性关系,其中,结实丰年的结实量与树冠体积以及与树冠表面的线性关系最明显(r=0.726 7-0.733 8),平年次之(r=0.688 8-0.667 5),欠年最差(r<0.5)。总的来说,本文所建立的红松人工林立木树冠体积和表面积单变量和多变量模型能对红松立木树冠大小进行很好的估计,为进一步研究红松人工林结实规律及果材兼用林优化经营提供基础。     

Structural modulation of gut microbiota during alleviation of type 2 diabetes with a Chinese herbal formula

The gut microbiota is hypothesized to have a critical role in metabolic diseases, including type 2 diabetes (T2D). A traditional Chinese herbal formula, Gegen Qinlian Decoction (GQD), can alleviate T2D. To find out whether GQD modulates the composition of the gut microbiota during T2D treatment, 187 T2D patients were randomly allocated to receive high (HD, n=44), moderate (MD, n=52), low dose GQD (LD, n=50) or the placebo (n=41) for 12 weeks in a double-blinded trial. Patients who received the HD or MD demonstrated significant reductions in adjusted mean changes from baseline of fasting blood glucose (FBG) and glycated hemoglobin (HbA1c) compared with the placebo and LD groups. Pyrosequencing of the V3 regions of 16S rRNA genes revealed a dose-dependent deviation of gut microbiota in response to GQD treatment. This deviation occurred before significant improvement of T2D symptoms was observed. Redundancy analysis identified 47 GQD-enriched species level phylotypes, 17 of which were negatively correlated with FBG and 9 with HbA1c. Real-time quantitative PCR confirmed that GQD significantly enriched Faecalibacterium prausnitzii, which was negatively correlated with FBG, HbA1c and 2-h postprandial blood glucose levels and positively correlated with homeostasis model assessment of β-cell function. Therefore, these data indicate that structural changes of gut microbiota are induced by Chinese herbal formula GQD. Specifically, GQD treatment may enrich the amounts of beneficial bacteria, such as Faecalibacterium spp. In conclusion, changes in the gut microbiota are associated with the anti-diabetic effects of GQD.     

A phylo-functional core of gut microbiota in healthy young Chinese cohorts across lifestyles,geography and ethnicities

Structural profiling of healthy human gut microbiota across heterogeneous populations is necessary for benchmarking and characterizing the potential ecosystem services provided by particular gut symbionts for maintaining the health of their hosts. Here we performed a large structural survey of fecal microbiota in 314 healthy young adults, covering 20 rural and urban cohorts from 7 ethnic groups living in 9 provinces throughout China. Canonical analysis of unweighted UniFrac principal coordinates clustered the subjects mainly by their ethnicities/geography and less so by lifestyles. Nine predominant genera, all of which are known to contain short-chain fatty acid producers, co-occurred in all individuals and collectively represented nearly half of the total sequences. Interestingly, species-level compositional profiles within these nine genera still discriminated the subjects according to their ethnicities/geography and lifestyles. Therefore, a phylogenetically diverse core of gut microbiota at the genus level may be commonly shared by distinctive healthy populations as functionally indispensable ecosystem service providers for the hosts.     

宿主识别与应答胞质内DNA入侵的信号转导机制

固有免疫是宿主防御病原微生物入侵的第一道防线。宿主通过胚系基因编码的模式识别受体(pathogen recognition receptor,PRR)监测微生物的病原相关分子模式(病毒核酸等),迅速启动免疫应答反应。宿主自身的核酸如果错误地出现在细胞质中,也会被模式识别受体识别,引发自身免疫疾病。STING(stimulator of interferon genes)是最近鉴定出的内质网接头蛋白,可以动态监控细胞内DNA以及环二核苷酸(cyclic dinucleotides,CDNs)的异常存在,发挥承上启下的抗微生物感染的枢纽功能。该文概述STING介导的细胞信号通路前沿进展,并对有待突破的科学问题作出展望。     

Sustainable limits to crop residue harvest for bioenergy: maintaining soil carbon in Australia's agricultural lands

The use of crop residues for bioenergy production needs to be carefully assessed because of the potential negative impact on the level of soil organic carbon (SOC) stocks. The impact varies with environmental conditions and crop management practices and needs to be considered when harvesting the residue for bioenergy productions. Here, we defined the sustainable harvest limits as the maximum rates that do not diminish SOC and quantified sustainable harvest limits for wheat residue across Australia's agricultural lands. We divided the study area into 9432 climate‐soil (CS) units and simulated the dynamics of SOC in a continuous wheat cropping system over 122 years (1889 – 2010) using the Agricultural Production Systems sIMulator (APSIM). We simulated management practices including six fertilization rates (0, 25, 50, 75, 100, and 200 kg N ha^?1) and five residue harvest rates (0, 25, 50, 75, and 100%). We mapped the sustainable limits for each fertilization rate and assessed the effects of fertilization and three key environmental variables – initial SOC, temperature, and precipitation – on sustainable residue harvest rates. We found that, with up to 75 kg N ha^?1 fertilization, up to 75% and 50% of crop residue could be sustainably harvested in south‐western and south‐eastern Australia, respectively. Higher fertilization rates achieved little further increase in sustainable residue harvest rates. Sustainable residue harvest rates were principally determined by climate and soil conditions, especially the initial SOC content and temperature. We conclude that environmental conditions and management practices should be considered to guide the harvest of crop residue for bioenergy production and thereby reduce greenhouse gas emissions during the life cycle of bioenergy production.     

Persistence of <Emphasis Type="Italic">Methanosaeta</Emphasis> populations in anaerobic digestion during process instability

Anaerobic digestion is a sustainable technology for the treatment of organic waste and production of biogas. Acetoclastic methanogenesis accounts for the majority of methane production in anaerobic digestion. Therefore, sustaining robust acetoclastic methanogens is important for stable process performance. Due to faster growth kinetics at high acetate concentrations, it has been considered that Methanosarcina would be more prevalent than Methanosaeta in unstable anaerobic digestion processes which frequently experience high acetate levels. Methanogen population dynamics were monitored in multiple continuous anaerobic digesters for 500 days. Results from quantitative polymerase chain reaction analysis show that Methanosaeta dominated over Methanosarcina in anaerobic digestion at high acetate levels up to 44 mM, suggesting the potential of Methanosaeta as a robust and efficient acetoclastic candidate for resilient anaerobic methane conversion. Further efforts are needed to identify mechanisms contributing to the unexpected competitiveness of these methanogens at high acetate levels observed in this study.     

SCNVSim: somatic copy number variation and structure variation simulator

Background

Somatically acquired structure variations (SVs) and copy number variations (CNVs) can induce genetic changes that are directly related to tumor genesis. Somatic SV/CNV detection using next-generation sequencing (NGS) data still faces major challenges introduced by tumor sample characteristics, such as ploidy, heterogeneity, and purity. A simulated cancer genome with known SVs and CNVs can serve as a benchmark for evaluating the performance of existing somatic SV/CNV detection tools and developing new methods.

Results

SCNVSim is a tool for simulating somatic CNVs and structure variations SVs. Other than multiple types of SV and CNV events, the tool is capable of simulating important features related to tumor samples including aneuploidy, heterogeneity and purity.

Conclusions

SCNVSim generates the genomes of a cancer cell population with detailed information of copy number status, loss of heterozygosity (LOH), and event break points, which is essential for developing and evaluating somatic CNV and SV detection methods in cancer genomics studies.     

MRI-based strain and strain rate analysis of left ventricle: a modified hierarchical transformation model

Background

Different from other indicators of cardiac function, such as ejection fraction and transmitral early diastolic velocity, myocardial strain is promising to capture subtle alterations that result from early diseases of the myocardium. In order to extract the left ventricle (LV) myocardial strain and strain rate from cardiac cine-MRI, a modified hierarchical transformation model was proposed.

Methods

A hierarchical transformation model including the global and local LV deformations was employed to analyze the strain and strain rate of the left ventricle by cine-MRI image registration. The endocardial and epicardial contour information was introduced to enhance the registration accuracy by combining the original hierarchical algorithm with an Iterative Closest Points using Invariant Features algorithm. The hierarchical model was validated by a normal volunteer first and then applied to two clinical cases (i.e., the normal volunteer and a diabetic patient) to evaluate their respective function.

Results

Based on the two clinical cases, by comparing the displacement fields of two selected landmarks in the normal volunteer, the proposed method showed a better performance than the original or unmodified model. Meanwhile, the comparison of the radial strain between the volunteer and patient demonstrated their apparent functional difference.

Conclusions

The present method could be used to estimate the LV myocardial strain and strain rate during a cardiac cycle and thus to quantify the analysis of the LV motion function.