Increased serum myeloid-related protein 8/14 level is associated with atherosclerosis in type 2 diabetic patients

<p>Abstract</p> <p>Background</p> <p>Myeloid-related protein 8/14 (MRP8/14) is a stable heterodimer formed by two different calcium-binding proteins (MRP8 and MRP14). Studies have identified that MRP8/14 regulates vascular inflammation and serves as a novel marker of acute coronary syndrome. In this study, we evaluated the correlation between serum levels of MRP8/14, hsCRP, endogenous secretory receptor for advanced glycation end-products (esRAGE) and the occurrence of coronary artery disease (CAD), or carotid intima-media thickness (IMT) when CAD was not yet developed in diabetic patients.</p> <p>Methods</p> <p>Serum levels of MRP8/14, esRAGE and hsCRP were measured in 375 diabetic patients. Then the results of those who had CAD were compared against who had not. Also, we investigated the associations between above-mentioned indicators and IMT of subjects without CAD in both diabetic group and non-diabetic one.</p> <p>Results</p> <p>Serum MRP8/14 was significantly higher in CAD than in non-CAD group (9.7 ± 3.6 ug/ml vs. 8.2 ± 3.0 ug/ml, <it>P </it>< 0.001). It was associated with severity of CAD (<it>r </it>= 0.16, <it>P </it>= 0.026). In non-CAD group, MRP8/14 was associated with IMT in patients with (<it>r </it>= 0.30, <it>P </it>< 0.001) or without diabetes (<it>r </it>= 0.26, <it>P </it>= 0.015). The areas under the curves of receiver operating characteristic for CAD were 0.63 (95% CI 0.57-0.68) for MRP8/14, 0.76 (95% CI 0.71-0.81) for hsCRP and 0.62 (95% CI 0.56 -0.67) for esRAGE.</p> <p>Conclusion</p> <p>In summary, we report that diabetic patients with CAD had elevated plasma MRP8/14 levels which were also positively correlated with the severity of CAD and carotid IMT in patients without clinically overt CAD.</p

Genome-wide gene phylogeny of CIPK family in cassava and expression analysis of partial drought-induced genes

Cassava is an important food and potential biofuel crop that is tolerant to multiple abiotic stressors. The mechanisms underlying these tolerances are currently less known. CBL-interacting protein kinases (CIPKs) have been shown to play crucial roles in plant developmental processes, hormone signaling transduction, and in the response to abiotic stress. However, no data is currently available about the CPK family in cassava. In this study, a total of 25 CIPK genes were identified from cassava genome based on our previous genome sequencing data. Phylogenetic analysis suggested that 25 MeCIPKs could be classified into four subfamilies, which was supported by exon-intron organizations and the architectures of conserved protein motifs. Transcriptomic analysis of a wild subspecies and two cultivated varieties showed that most MeCIPKs had different expression patterns between wild subspecies and cultivatars in different tissues or in response to drought stress. Some orthologous genes involved in CIPK interaction networks were identified between Arabidopsis and cassava. The interaction networks and co-expression patterns of these orthologous genes revealed that the crucial pathways controlled by CIPK networks may be involved in the differential response to drought stress in different accessions of cassava. Nine MeCIPK genes were selected to investigate their transcriptional response to various stimuli and the results showed the comprehensive response of the tested MeCIPK genes to osmotic, salt, cold, oxidative stressors, and ABA signaling. The identification and expression analysis of CIPK family suggested that CIPK genes are important components of development and multiple signal transduction pathways in cassava. The findings of this study will help lay a foundation for the functional characterization of the CIPK gene family and provide an improved understanding of abiotic stress responses and signaling transduction in cassava

Regulated Deficit Irrigation Impact at Various Growth Stages and Productivity of Soybean

Regulated deficit irrigation (RDI) is being used as a valued and sustainable strategy in the worldwide arid and semi-arid regions. By limiting the water usage at drought-sensitive stages of plant, the pivotal aim of this practice is to improve water usage efficiency for productivity and to stabilize it instead of maximizing yields in numerous countries. The current study was undertaken in order to investigate the various RDI regimes at different stages of plant growth and development (seedling, branching, flowering, bearing pod, seed filling and maturity) of Chinese soybean plant. For the purposed study, a pot-based experiment was conducted by imposing the total 23 RDI treatments along thrice replications in randomized complete block design (RCBD) condition. The retrieved statistical analysis exposed that the RDI regimes have differential outcomes at various plant stages of soybean. Overall, the most favorable growth condition was observed at various stages under T1 (55-65% field capacity) at seedling stage and branching stage, under T9 (65-75% field capacity) at flowering stage and T15 (65-75% field capacity) in seed filling stage among the all regulated deficit irrigation treatments but when the plants were fully irrigated with T23 (90-100% field capacity), they expressed severe affect during seedling and branching stage due to water logging but owing to full irrigation during critical stages plant growth it showed the utmost yield. Keywords: Regulated Deficit Irrigation (RDI), Field Capacity, Soybean, Black Soil, Growth Stage and Productio

The LAMOST Complete Spectroscopic Survey of Pointing Area (LaCoSSPAr) in the Southern Galactic Cap I. The Spectroscopic Redshift Catalog

We present a spectroscopic redshift catalog from the LAMOST Complete Spectroscopic Survey of Pointing Area (LaCoSSPAr) in the Southern Galactic Cap (SGC), which is designed to observe all sources (Galactic and extra-galactic) by using repeating observations with a limiting magnitude of $r=18.1~mag$ in two $20~deg^2$ fields. The project is mainly focusing on the completeness of LAMOST ExtraGAlactic Surveys (LEGAS) in the SGC, the deficiencies of source selection methods and the basic performance parameters of LAMOST telescope. In both fields, more than 95% of galaxies have been observed. A post-processing has been applied to LAMOST 1D spectrum to remove the majority of remaining sky background residuals. More than 10,000 spectra have been visually inspected to measure the redshift by using combinations of different emission/absorption features with uncertainty of $\sigma_{z}/(1+z)<0.001$. In total, there are 1528 redshifts (623 absorption and 905 emission line galaxies) in Field A and 1570 redshifts (569 absorption and 1001 emission line galaxies) in Field B have been measured. The results show that it is possible to derive redshift from low SNR galaxies with our post-processing and visual inspection. Our analysis also indicates that up to 1/4 of the input targets for a typical extra-galactic spectroscopic survey might be unreliable. The multi-wavelength data analysis shows that the majority of mid-infrared-detected absorption (91.3%) and emission line galaxies (93.3%) can be well separated by an empirical criterion of $W2-W3=2.4$. Meanwhile, a fainter sequence paralleled to the main population of galaxies has been witnessed both in $M_r$/$W2-W3$ and $M_*$/$W2-W3$ diagrams, which could be the population of luminous dwarf galaxies but contaminated by the edge-on/highly inclined galaxies ($\sim30\%$).Comment: 19 pages, 14 figures, 2 MRT, accepted by ApJ

The LAMOST Survey of Background Quasars in the Vicinity of the Andromeda and Triangulum Galaxies -- II. Results from the Commissioning Observations and the Pilot Surveys

We present new quasars discovered in the vicinity of the Andromeda and Triangulum galaxies with the LAMOST during the 2010 and 2011 observational seasons. Quasar candidates are selected based on the available SDSS, KPNO 4 m telescope, XSTPS optical, and WISE near infrared photometric data. We present 509 new quasars discovered in a stripe of ~135 sq. deg from M31 to M33 along the Giant Stellar Stream in the 2011 pilot survey datasets, and also 17 new quasars discovered in an area of ~100 sq. deg that covers the central region and the southeastern halo of M31 in the 2010 commissioning datasets. These 526 new quasars have i magnitudes ranging from 15.5 to 20.0, redshifts from 0.1 to 3.2. They represent a significant increase of the number of identified quasars in the vicinity of M31 and M33. There are now 26, 62 and 139 known quasars in this region of the sky with i magnitudes brighter than 17.0, 17.5 and 18.0 respectively, of which 5, 20 and 75 are newly-discovered. These bright quasars provide an invaluable collection with which to probe the kinematics and chemistry of the ISM/IGM in the Local Group of galaxies. A total of 93 quasars are now known with locations within 2.5 deg of M31, of which 73 are newly discovered. Tens of quasars are now known to be located behind the Giant Stellar Stream, and hundreds behind the extended halo and its associated substructures of M31. The much enlarged sample of known quasars in the vicinity of M31 and M33 can potentially be utilized to construct a perfect astrometric reference frame to measure the minute PMs of M31 and M33, along with the PMs of substructures associated with the Local Group of galaxies. Those PMs are some of the most fundamental properties of the Local Group.Comment: 26 pages, 6 figures, AJ accepte

A longitudinal resource for population neuroscience of school-age children and adolescents in China

During the past decade, cognitive neuroscience has been calling for population diversity to address the challenge of validity and generalizability, ushering in a new era of population neuroscience. The developing Chinese Color Nest Project (devCCNP, 2013–2022), the first ten-year stage of the lifespan CCNP (2013–2032), is a two-stages project focusing on brain-mind development. The project aims to create and share a large-scale, longitudinal and multimodal dataset of typically developing children and adolescents (ages 6.0–17.9 at enrolment) in the Chinese population. The devCCNP houses not only phenotypes measured by demographic, biophysical, psychological and behavioural, cognitive, affective, and ocular-tracking assessments but also neurotypes measured with magnetic resonance imaging (MRI) of brain morphometry, resting-state function, naturalistic viewing function and diffusion structure. This Data Descriptor introduces the first data release of devCCNP including a total of 864 visits from 479 participants. Herein, we provided details of the experimental design, sampling strategies, and technical validation of the devCCNP resource. We demonstrate and discuss the potential of a multicohort longitudinal design to depict normative brain growth curves from the perspective of developmental population neuroscience. The devCCNP resource is shared as part of the “Chinese Data-sharing Warehouse for In-vivo Imaging Brain” in the Chinese Color Nest Project (CCNP) – Lifespan Brain-Mind Development Data Community (https://ccnp.scidb.cn) at the Science Data Bank