Zebrafish (Danio rerio) presenilin promotes aberrant amyloid beta-peptide production and requires a critical aspartate residue for its function in amyloidogenesis.

Alzheimer's disease (AD) is characterized by the invariable accumulation of senile plaques composed of amyloid beta-peptide (Abeta). Mutations in three genes are known to cause familial Alzheimer's disease (FAD). The mutations occur in the genes encoding the beta-amyloid precursor protein (betaAPP) and presenilin (PS1) and PS2 and cause the increased secretion of the pathologically relevant 42 amino acid Abeta42. We have now cloned the zebrafish (Danio rerio) PS1 homologue (zf-PS1) to study its function in amyloidogenesis and to prove the critical requirement of an unusual aspartate residue within the seventh putative transmembrane domain. In situ hybridization and reverse PCR reveal that zf-PS1 is maternally inherited and ubiquitously expressed during embryogenesis, suggesting an essential housekeeping function. zf-PS1 is proteolytically processed to produce a C-terminal fragment (CTF) of approximately 24 kDa similar to human PS proteins. Surprisingly, wt zf-PS1 promotes aberrant Abeta42 secretion like FAD associated human PS1 mutations. The unexpected pathologic activity of wt zf-PS1 may be due to several amino acid exchanges at positions where FAD-associated mutations have been observed. The amyloidogenic function of zf-PS1 depends on the conserved aspartate residue 374 within the seventh putative transmembrane domain. Mutagenizing this critical aspartate residue abolishes endoproteolysis of zf-PS1 and inhibits Abeta secretion in human cells. Inhibition of Abeta secretion is accompanied by the accumulation of C-terminal fragments of betaAPP, suggesting a defect in gamma-secretase activity. These data provide further evidence that PS proteins are directly involved in the proteolytic cleavage of betaAPP and demonstrate that this function is evolutionarily conserved.     

表土干旱和根信号对春小麦产量形成的影响

本实验模拟大田条件,探讨一定程度水分亏缺下春小麦能否产生非水力根信号,以及对春小麦产量形成的影响．用３ 个春小麦品种,３ 个水分处理：充分供水（ＣＴ） ,上层供水（ＤＩｕ） 和上层干旱下层供水（ＤＩｄ） ．出苗后１７ ～２８ｄ ,非充分供水处理出现了植物叶片水势未显著改变而气孔导度和蒸腾作用却显著下降的现象,这是非水力根信号的典型特征．随着时间的推移,植物叶片水势同对照处理相比显著下降．在本试验的３ 个品种中,Ｂ品种上层根系的比根重（ＳＲＷ,单位根长的根重） 在出苗后３４ｄ 和出苗后５４ｄ 较Ａ、Ｃ品种高,且在出苗后５４ｄ上层根重的绝对量也显著高于Ａ、Ｃ品种的对应处理,对Ｂ品种获得较高的产量十分有利．Ｃ品种同Ａ、Ｂ品种相比,在出苗后３４ｄ 和５４ｄ,ＤＩｕ 处理中总根重、总根长分别向上层根重和上层根长分配的比例较Ａ、Ｂ 品种高,中层根重和中层根长的相对较低;而ＤＩｄ 处理中表现的趋势正好相反．以上表明Ｃ 品种对浅层土壤水分十分敏感,其根系的可塑性较强,也反映了其较高的根信号敏感性．相对而言,Ａ 品种和Ｂ 品种根系的可塑性较弱,但这两个品种的籽粒产量显著高于Ｃ 品种．     

内蒙古地产紫沙参多糖免疫功能

给小鼠灌胃口服紫沙参多糖 ４００ ｍｇ· ｋｇ－１、８００ ｍｇ· ｋｇ－１,观察其连续给药对免疫功能的影响。结果显示：在５ｄ后能显著地增加小鼠耳肿胀度,提示紫沙参多糖能够增强二硝基氯苯诱导的小鼠迟发性变态反应（ＤＴＨ）;在７ ｄ后能显著地增加碳粒廓清指数Ｋ和吞噬指数α,增强单核巨噬细胞的吞噬功能,能显著地增加免疫器官胸腺、脾脏重量,增强机体免疫作用。试验采用国家中药二类新药云芝多糖 １０００ ｍｇ· ｋｇ－１作为阳性对照组。     

Species identification and phylogenetic analysis of Leishmania isolated from patients,vectors and hares in the Xinjiang Autonomous Region,The People’s Republic of China

BackgroundVisceral leishmaniasis (VL) has been declared as one of the six major tropical diseases by the World Health Organization. This disease has been successfully controlled in China, except for some areas in the western region, such as the Xinjiang Autonomous Region, where both anthroponotic VL (AVL) and desert type zoonotic VL (DT-ZVL) remain endemic with sporadic epidemics.Methodology/Principal findingsHere, an eleven-year survey (2004–2014) of Leishmania species, encompassing both VL types isolated from patients, sand-fly vectors and Tarim hares (Lepus yarkandensis) from the Xinjiang Autonomous Region was conducted, with a special emphasis on the hares as a potential reservoir animal for DT-ZVL. Key diagnostic genes, ITS1, hsp70 and nagt (encoding N-acetylglucosamine-1-phosphate transferase) were used for phylogenetic analyses, placing all Xinjiang isolates into one clade of the L. donovani complex. Unexpectedly, AVL isolates were found to be closely related to L. infantum, while DT-ZVL isolates were closer to L. donovani. Unrooted parsimony networks of haplotypes for these isolates also revealed their relationship.Conclusions/SignificanceThe above analyses of the DT-ZVL isolates suggested their geographic isolation and independent evolution. The sequence identity of isolates from patients, vectors and the Tarim hares in a single DT-ZVL site provides strong evidence in support of this species as an animal reservoir.     

Association Between Tumor Necrosis Factor-α and Diabetic Peripheral Neuropathy in Patients with Type 2 Diabetes: a Meta-Analysis

Tumor necrosis factor-α (TNF-α) is a cell signaling protein involved in systemic inflammation, and is also an important cytokine in the acute phase reaction. Several studies suggested a possible association between TNF-α and diabetic peripheral neuropathy (DPN) in type 2 diabetic patients, but no accurate conclusion was available. A systematic review and meta-analysis of observational studies was performed to comprehensively assess the association between serum TNF-α levels and DPN in type 2 diabetic patients. We searched Pubmed, Web of Science, Embase, and China Biology Medicine (CMB) databases for eligible studies. Study-specific data were combined using meta-analysis. Fourteen studies were finally included into the meta-analysis, which involved a total of 2650 participants. Meta-analysis showed that there were obviously increased serum TNF-α levels in DPN patients compared with type 2 diabetic patients without DPN (standard mean difference [SMD]?=?1.203, 95 % CI 0.795–1.611, P?<?0.001). There were also obviously increased levels of serum TNF-α in diabetic patients with DPN when compared with healthy controls (SMD?=?2.364, 95 % CI 1.333–3.394, P?<?0.001). In addition, there were increased serum TNF-α levels in painful DPN patients compared with painless DPN patients (SMD?=?0.964, 95 % CI 0.237–1.690, P?=?0.009). High level of serum TNF-α was significantly associated with increased risk of DPN in patients with type 2 diabetes (odds ratio [OR]?=?2.594, 95 % CI 1.182–5.500, P?=?0.017). Increased serum levels of TNF-α was not associated with increased risk of painful DPN in patients with type 2 diabetes (OR?=?2.486, 95 % CI 0.672–9.193, P?=?0.172). Sensitivity analysis showed that there was no obvious change in the pooled estimates when omitting single study by turns. Type 2 diabetic patients with peripheral neuropathy have obviously increased serum TNF-α levels than type 2 diabetic patients without peripheral neuropathy and healthy controls, and high level of serum TNF-α may be associated with increased risk of peripheral neuropathy independently. Further prospective cohort studies are needed to assess the association between TNF-α and DPN.     

A JNK1/AP-1-dependent, COX-2 induction is implicated in 12-O-tetradecanoylphorbol-13-acetate-induced cell transformation through regulating cell cycle progression

Cyclooxygenase-2 (COX-2) is reported to be one of the early-response gene products induced by 12-O-tetradecanoylphorbol-13-acetate (TPA). However, the relevance of COX-2 in TPA-induced cell transformation and the underlying mechanisms remains to be explored. Initially, we verified COX-2 induction after TPA treatment in mouse embryonic fibroblasts (MEF) and mouse epidermal cells Cl 41. More importantly, introduction of COX-2 small interfering RNA in MEFs or Cl 41 cells suppressed the cell transformation caused by TPA treatment. This inhibition could be reversed by overexpression of human full-length COX-2, indicating that COX-2 is at least one of the critical molecules involved in TPA-induced cell transformation. We further showed that TPA-promoted cell cycle progression was partially suppressed by COX-2 small interfering RNA, indicating that COX-2 also participated in TPA-associated cell cycle progression. Investigation of the upstream signaling pathways revealed that c-Jun-NH(2)-kinase 1 (JNK1), but not JNK2, played important roles in COX-2 induction, because knockout of JNK1 gene rather than JNK2 gene markedly impaired COX-2 induction. Furthermore, inhibition of c-Jun/activator protein 1 pathway or JNKs/c-Jun pathway by overexpression of dominant negative mutants of c-Jun, or MKK4 and MKK7 together, resulted in impairment of COX-2 induction, suggesting that JNK1/c-Jun/activator protein 1 pathway is involved in TPA-associated COX-2 induction. In contrast, IKK/p65 nuclear factor-kappaB pathway was not implicated because knockout of IKKalpha, IKKbeta, or p65 gene did not affect COX-2 induction although nuclear factor-kappaB was activated by TPA. In addition, the TPA-promoted cell cycle progression was found impaired in JNK1-deficient, but not in JNK2-deficient, MEFs. Our results show that JNK1-associated COX-2 induction is implicated in TPA-associated cell transformation and cell cycle progression.     

A proteomic approach identified growth hormone-dependent nutrition markers in children with idiopathic short stature

Background  

The broad range in growth observed in short prepubertal children receiving the same growth hormone (GH) dose is due to individual variation in GH responsiveness. This study used a pharmaco-proteomic approach in order to identify novel biomarkers that discriminate between short non-GH-deficient (GHD) children who show a good or poor growth response to GH treatment.     

Position-specific residue preference features around the ends of helices and strands and a novel strategy for the prediction of secondary structures

It has been many years since position-specific residue preference around the ends of a helix was revealed. However, all the existing secondary structure prediction methods did not exploit this preference feature, resulting in low accuracy in predicting the ends of secondary structures. In this study, we collected a relatively large data set consisting of 1860 high-resolution, non-homology proteins from the PDB, and further analyzed the residue distributions around the ends of regular secondary structures. It was found that there exist position-specific residue preferences (PSRP) around the ends of not only helices but also strands. Based on the unique features, we proposed a novel strategy and developed a tool named E-SSpred that treats the secondary structure as a whole and builds models to predict entire secondary structure segments directly by integrating relevant features. In E-SSpred, the support vector machine (SVM) method is adopted to model and predict the ends of helices and strands according to the unique residue distributions around them. A simple linear discriminate analysis method is applied to model and predict entire secondary structure segments by integrating end-prediction results, tri-peptide composition, and length distribution features of secondary structures, as well as the prediction results of the most famous program PSIPRED. The results of fivefold cross-validation on a widely used data set demonstrate that the accuracy of E-SSpred in predicting ends of secondary structures is about 10% higher than PSIPRED, and the overall prediction accuracy (Q(3) value) of E-SSpred (82.2%) is also better than PSIPRED (80.3%). The E-SSpred web server is available at http://bioinfo.hust.edu.cn/bio/tools/E-SSpred/index.html.