The Use of Three Long Non-Coding RNAs as Potential Prognostic Indicators of Astrocytoma

Long noncoding RNAs (lncRNAs) are pervasively transcribed and play a key role in tumorigenesis. The aim of the study was to determine the lncRNA expression profile in astrocytomas and to assess its potential clinical value. We performed a three-step analysis to establish the lncRNA profile for astrocytoma: a) the lncRNA expression was examined on 3 astrocytomas as well as 3 NATs (normal adjacent tissues) using the lncRNA microarray; b) the top-hits were validated in 40 astrocytomas (WHO grade II-IV) by quantitative real time-PCR (qRT-PCR); c) the hits with significant differences were re-evaluated using qRT-PCR in 90 astrocytomas. Finally, 7 lncRNAs were found to have a significantly different expression profile in astrocytoma samples compared to the NAT samples. Unsupervised clustering analysis further revealed the potential of the 7-lncRNA profile to differentiate between tumors and NAT samples. The upregulation of ENST00000545440 and NR_002809 was associated with advanced clinical stages of astrocytoma. Using Kaplan-Meier survival analysis, we showed that the low expression of BC002811 or XLOC_010967, or the high expression of NR_002809 was significantly associated with poor patient survival. Moreover, Cox proportional hazard regression analysis revealed that this prognostic impact was independent of other clinicopathological factors. Our results indicate that the lncRNA profile may be a potential prognostic biomarker for the prediction of post-surgical outcomes.     

Non-Alcoholic Fatty Liver Disease Is a Risk Factor for the Development of Diabetic Nephropathy in Patients with Type 2 Diabetes Mellitus

Background

Non-alcoholic fatty liver disease (NAFLD) is prevalent in individuals with type 2 diabetes mellitus (T2DM). Diabetic nephropathy (DN) is also associated with T2DM. However, little is known about the interaction between these conditions in patients with T2DM.

Objective

To examine the association between NAFLD and DN in patients with T2DM.

Methods

This retrospective study included patients seen between January 2006 and July 2014.T2DM patients were divided into two groups based on NAFLD status (with NAFLD = group A; without = group B). The cumulative incidence of DN and chronic kidney disease (CKD) staging were compared between the two groups. Liver fat content was examined in some patients. Associations among NAFLD, other factors,and DN were analyzed by the additive interaction method.

Results

Cumulative incidence of DN in patients from group A (58.58%) was higher than in group B (37.22%) (P = 0.005). In both groups, the number of DN patients with CKD stage 1 was greater than the number of patients with stages 2–5. Increased liver fat content was associated with increased occurrence of severe and mild albuminuria and decreased glomerular filtration rate (GFR). There were positive correlations between NAFLD and insulin resistance index (HOMA-IR), free fatty acids (FFA), tumor necrosis factor-α (TNF-α), omentin-1, visceral fat area, homocysteine (HCY), and serum uric acid (UA).

Conclusion

NAFLD might be a risk factor for DN. Elevated liver fat content could be associated with higher DN burden.     

Sleep Quality of Patients with Differentiated Thyroid Cancer

Objective

We aimed to measure prevalence of sleep disturbance in patients with differentiated thyroid cancer (DTC) by calculating Pittsburgh Sleep Quality Index (PSQI), and compare these data with patients with benign thyroid nodules or normal participants.

Methods

Three groups of patients participated in this cross-sectional study. In the first group, 162 patients with DTC received total thyroidectomy, and then ¹³¹I therapy. The second group consisted of 84 patients with benign thyroid nodules, who received partial thyroidectomy. The third group was 78 normal healthy control cases. PSQI was used to assess the sleep quality. Inter-group differences were analyzed by Kruskal-Wallis test or independent samples T test. χ² test was also used to check prevalence differences of poor sleep quality among the groups. Differences of PSQI score and poor sleep quality prevalence before and after ¹³¹I therapy in the same group of DTC participants were analyzed by paired T test and Mcnemar''s test.

Results

Higher PSQI score (7.59 ± 4.21) and higher rate of poor sleep quality (54.32%) were shown in DTC patients than in any other group. After ¹³¹I therapy, PSQI score and prevalence of poor sleep quality in DTC patients increased significantly to 8.78 ± 4.72 and 70.99%. Then DTC patients were divided into two subgroups based on their metastatic status. DTC patients with metastasis (87/162 cases, 53.70%) had significantly higher PSQI score (10.87 ± 5.18) and higher prevalence of poor sleep quality (79.31%).

Conclusion

DTC patients suffer from sleep disturbance, ¹³¹I therapy and awareness of metastatic status could worsen sleep problem. Psychological fear of cancer, nuclear medicine therapy and metastasis could be one major underlying reason. Longitude and interventional studies are necessary for further investigations.     

Effects of size,neighbors, and site condition on tree growth in a subtropical evergreen and deciduous broad‐leaved mixed forest,China

Successful growth of a tree is the result of combined effects of biotic and abiotic factors. It is important to understand how biotic and abiotic factors affect changes in forest structure and dynamics under environmental fluctuations. In this study, we explored the effects of initial size [diameter at breast height (DBH)], neighborhood competition, and site condition on tree growth, based on a 3‐year monitoring of tree growth rate in a permanent plot (120 × 80 m) of montane Fagus engleriana–Cyclobalanopsis multiervis mixed forest on Mt. Shennongjia, China. We measured DBH increments every 6 months from October 2011 to October 2014 by field‐made dendrometers and calculated the mean annual growth rate over the 3 years for each individual tree. We also measured and calculated twelve soil properties and five topographic variables for 384 grids of 5 × 5 m. We defined two distance‐dependent neighborhood competition indices with and without considerations of phylogenetic relatedness between trees and tested for significant differences in growth rates among functional groups. On average, trees in this mixed montane forest grew 0.07 cm year^?1 in DBH. Deciduous, canopy, and early‐successional species grew faster than evergreen, small‐statured, and late‐successional species, respectively. Growth rates increased with initial DBH, but were not significantly related to neighborhood competition and site condition for overall trees. Phylogenetic relatedness between trees did not influence the neighborhood competition. Different factors were found to influence tree growth rates of different functional groups: Initial DBH was the dominant factor for all tree groups; neighborhood competition within 5 m radius decreased growth rates of evergreen trees; and site condition tended to be more related to growth rates of fast‐growing trees (deciduous, canopy, pioneer, and early‐successional species) than the slow‐growing trees (evergreen, understory, and late‐successional species).     

Comparison of dwarf bamboos (Indocalamus sp.) leaf parameters to determine relationship between spatial density of plants and total leaf area per plant

The relationship between spatial density and size of plants is an important topic in plant ecology. The self‐thinning rule suggests a ?3/2 power between average biomass and density or a ?1/2 power between stand yield and density. However, the self‐thinning rule based on total leaf area per plant and density of plants has been neglected presumably because of the lack of a method that can accurately estimate the total leaf area per plant. We aimed to find the relationship between spatial density of plants and total leaf area per plant. We also attempted to provide a novel model for accurately describing the leaf shape of bamboos. We proposed a simplified Gielis equation with only two parameters to describe the leaf shape of bamboos one model parameter represented the overall ratio of leaf width to leaf length. Using this method, we compared some leaf parameters (leaf shape, number of leaves per plant, ratio of total leaf weight to aboveground weight per plant, and total leaf area per plant) of four bamboo species of genus Indocalamus Nakai (I. pedalis (Keng) P.C. Keng, I. pumilus Q.H. Dai and C.F. Keng, I. barbatus McClure, and I. victorialis P.C. Keng). We also explored the possible correlation between spatial density and total leaf area per plant using log‐linear regression. We found that the simplified Gielis equation fit the leaf shape of four bamboo species very well. Although all these four species belonged to the same genus, there were still significant differences in leaf shape. Significant differences also existed in leaf area per plant, ratio of leaf weight to aboveground weight per plant, and leaf length. In addition, we found that the total leaf area per plant decreased with increased spatial density. Therefore, we directly demonstrated the self‐thinning rule to improve light interception.     

不同产地丁香挥发性成分分析

采用顶空固相微萃取-气相色谱-质谱联用技术对产自国内外4个地区的丁香(Eugenia caryophyllata Thunb.)挥发性成分进行了检测,并以峰面积归一化法计算了各组分的相对含量。结果显示,从4个产地13批次丁香中共鉴定出挥发性成分72种(匹配度均高于75),其中,主要成分含量排名前两位的均为丁香酚、(-)-α-芹子烯,排名第三位的挥发性成分分别为:顺式-α-没药烯(马达加斯加塔马塔夫,平均为3.75%)、罗勒烯(中国广东,平均为4.21%)、亚麻三烯(中国广西,平均为3.74%)、丁香烯(印度尼西亚爪哇岛,平均为3.60%)。表明同一产地的丁香挥发性成分具有一定的相似性,不同产地丁香挥发性成分也有一定的差异,这对丁香产地的鉴别具有重要意义。主成分分析和聚类分析的结果既可以将4个产地的丁香很好地区分开来,又能反映出它们之间的亲缘关系。本研究采用HS-SPME-GC-MS方法检测不同产地丁香挥发性成分并结合主成分分析(PCA)及聚类分析法,能有效区分4个产地的丁香,该方法可作为丁香产地的鉴别方法,也为进一步比较不同产地丁香挥发性成分的差异及质量控制提供了新思路。     

骨碎补科植物叶表皮特征及其系统学意义

基于骨碎补科(Davalliaceae)植物属的界定和属下等级的划分一直存在较大争议,本研究首次对骨碎补科6属39种(秦仁昌系统)植物的叶表皮进行了扫描电镜观察。结果显示,骨碎补科有9种类型的角质层,其中,阴石蕨属(Humata)的角质层有密集的孔状凹陷结构;Wibelia条纹突起较厚,排列整齐且细密紧致;广义钻毛蕨属(Davallodes)内存在多种角质层类型,需要在属下进一步细分。本研究还根据角质层特征讨论了骨碎补科与一些近缘种类的关系。角质层特征是骨碎补科内种属分类的重要依据,而保卫细胞形状和气孔密度,均不能用来界定骨碎补科的属和种。本研究按角质层分类的结果与Kato和Tsutsumi的分子系统学分类观点一致。     

Use of random forest in FTIR analysis of LDL cholesterol and tri‐glycerides for hyperlipidemia

A quantitative determination method for the diagnosis of hyperlipidemia was developed using Fourier transform infrared (FTIR) spectroscopy. Random forest (RF) was demonstrated as a potential multivariate algorithm for the FTIR analysis of low‐density lipoprotein cholesterol (LDL‐C) and tri‐glycerides (TG) in human serum samples. The informative wavebands for LDL‐C and TG were selected based on the Gini importance. The selected wavebands were mainly within the fingerprint region. The RF modeling results were better than those derived using PLS in validation process, because the chance for over‐fitting was possibly eliminated in RF algorithm. ARF also demonstrated favorable results in the test process. The prospective model exhibited a higher than 90% true prediction in negative/positive properties for male and female samples. These clinical statistical results indicated the optimization of RF algorithm performed accurately in the FTIR determination of LDL‐C and TG. RF is evaluated as a promising tool for diagnosing and controlling hyperlipidemia in populations. The parameter optimization methodology is useful in the improving model accuracy using FTIR spectroscopic technology. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:1693–1702, 2015     

Biomass carbon density and carbon sequestration capacity in seven typical forest types of the Xiaoxing’an Mountains,China

森林生物碳储量作为森林生态系统碳库的重要组成部分,在全球碳循环中发挥着重要作用。以小兴安岭7种典型林型为研究对象,通过外业样地调查与室内实验分析相结合的方法,从林分尺度对林分生物量与碳密度进行计量,分析了林分生物碳储量的空间分配格局,并对林分年固碳能力与碳汇潜力进行了探讨。结果表明:小兴安岭不同林型从幼龄林到成熟林的乔木层碳密度增长速率为:蒙古栎(Quercus mongolica)林>兴安落叶松(Larix gmelinii)林>云冷杉(Picea-Abies)林>樟子松(Pinus sylvestris var.mongolica)林>山杨(Populus davidiana)林>红松(Pinus koraiensis)林>白桦(Betula platyphylla)林。7种典型林型不同龄组(幼龄林、中龄林、近熟林和成熟林)林分生物量碳密度分别为:红松林31.4、74.7、118.4和130.2 t·hm–2;兴安落叶松林28.9、44.3、74.2和113.3 t·hm–2;樟子松林22.8、52.0、71.1和92.6 t·hm–2;云冷杉林23.1、44.1、77.6和130.3 t·hm–2;白桦林18.8、35.3、66.6和88.5 t·hm–2;蒙古栎林25.0、20.0、47.5和68.9 t·hm–2;山杨林19.8、28.7、43.7和76.6 t·hm–2。红松林、兴安落叶松林、樟子松林和蒙古栎林在幼龄林时林分年固碳量较高,其他林型在成熟林时林分年固碳量较高。7种典型林型不同龄组的林分生物量碳密度均随林龄增长而增加,但不同林型的碳汇功能存在差异,同一林型不同林龄的生物量碳密度增幅差异也较大。林分年固碳量在0.4–2.8 t·hm–2之间,碳汇能力较强、碳汇潜力较大。尤其是小兴安岭目前林分质量较差,幼龄林和中龄林所占的比重较大,具有较大的碳汇潜力。研究结果可为森林经营管理及碳汇功能评价提供参考。     

红花油体提取条件优化及稳定性研究

油体是储藏脂肪的亚细胞单位,其表面包裹一层磷脂和油体蛋白。这种稳定的结构可以保护油体面对环境的压力,使油体可以应用在食品、化妆品及制药工业中。研究红花油体的提取方法及红花油体乳液的基本性质,旨在为以油体为基质的载体体系研究奠定基础。以pBS为介质,采用梯度离心法,比较了不同提取条件对红花油体的提取效率的影响;对其在不同pH值、NaCl浓度条件下红花油体的平均粒径和稳定性进行测定。结果表明,红花油体在pH值≥6条件下,平均粒径为1.75-2.05μm和p H值≤6条件下,平均粒径1.50-1.75μm;NaCl浓度0.2和0.4 mg/m L时,红花油体分散较为均匀,NaCl浓度1.2和2.0 mg/m L时,红花油体出现聚集现象。蔗糖浓度0.1和0.2 mg/m L时,红花油体分散较为均匀,蔗糖浓度为0.4-1.0 mg/m L时,红花油体比较密集,随着蔗糖浓度的增加,红花油体的粒径逐渐开始不均一。红花油体的最佳提取条件是pH7,NaCl浓度0.2 mg/m L,蔗糖浓度0.1 mg/m L,稀释后的红花油体溶液在不加入保护剂或者不经过物理方法处理下,保存起来不稳定。