Association between Sumoylation-Related Gene rs77447679 Polymorphism and Risk of Gastric Cancer (GC) in a Chinese Population

Purpose: Sumoylation plays a critical role in gene regulation and tumorigenesis, and is hypothesized to correlate with the development of various cancers. So far, there has been no reported association between sumoylation-related genes and the risk of gastric cancer (GC).

Methods: A total of 17 tagging single-nucleotide polymorphisms (tag-SNPs) in 5 sumoylation-related genes were selected and genotyped by SNaPshot in a case-control study, including 1021 GC patients and 1304 controls. Odds ratio (OR) and 95% confidential interval (CI) were computed to evaluate the genetic association of the onset of GC.

Results: We demonstrated that CBX4 rs77447679 polymorphism was significantly associated with GC risk (P= 0.017; adjusted OR: 1.71; 95% CI: 1.10-2.66). The patients with CC genotype had a lower risk of GC (CC vs. CA+AA, P= 0.017; adjusted OR: 1.24; 95% CI: 1.04-1.49).

Conclusion: This study revealed that CBX4 rs77447679 polymorphism was positively associated with GC, and individuals with CC genotype had less risk of GC. The risky effects and functional effect of this polymorphism in GC require further investigation.

Natural occurrence of deoxynivalenol and deoxynivalenol-3-glucoside in various wheat cultivars grown in Jiangsu province, China

Deoxynivalenol (DON) is a major mycotoxin found in wheat infected with Fusarium fungi. DON can be converted by plant detoxification into a form of ‘masked mycotoxin’ termed deoxynivalenol-3-glucoside (DON-3G). To recommend appropriate wheat cultivars for planting in order to reduce DON contamination in Jiangsu province, where a traditional Fusarium head blight (FHB) epidemic area is located in the lower reaches of Yangtze-Huaihe, we evaluated the capacity of various wheat cultivars to transform DON into DON-3G under field conditions. We collected and evaluated samples from 11 major wheat cultivars grown in 63 experimental stations in Jiangsu province in 2015 and 2016. All samples were contaminated with DON, with an average concentration of 2,087±112 and 2,601±126 µg/kg in 2015 and 2016, respectively. DON-3G was detected in 425 (96%) and 405 (97%) samples in 2015 and 2016, with an average concentration of 545±28 and 819±44 µg/kg, respectively. The DON-3G/DON ratio ranged from 5 to 84% (average, 30%) in 2015 and from 0 to 71% (average, 31%) in 2016. DON levels were highly correlated with DON-3G concentrations (P<0.01), and the FHB resistance of the wheat cultivars was proportional to their capacity to convert DON to DON-3G. Importantly, region, cultivar, and region × cultivar interaction all significantly affected DON and DON-3G concentrations and DON-3G/DON ratios. In general, FHB-resistant cultivars, such as Sumai 188 and Ningmai 13, had lower levels of DON and DON-3G than the others. However, additional factors, including the growing region and environmental variables, were important for wheat management when other wheat cultivars were evaluated.

miR-33a inhibits cell proliferation and invasion by targeting CAND1 in lung cancer

BACKGROUND

Lung cancer continues to be one of the top five causes of cancer-related mortality. This study aims to identify down- and upregulated miRNAs and mRNA which can be used as potential biomarkers and/or therapeutic targets for lung cancer.

METHODS

Integrated analysis of differential expression profiles of miRNA and mRNA in lung cancer was performed by searching Gene Expression Omnibus datasets. Based on miRNA expression profiles, direct mRNA targets of miRNAs with experimental support were identified through miRTarBase. The levels of representative miRNAs and mRNAs were confirmed through qualitative real-time reverse transcriptase polymerase chain reaction (qRT-PCR).

RESULTS

The miR-33a was decreased in non-small cell lung cancer (NSCLC) tissues compared with the para-carcinoma tissues, whereas its target mRNA of cullin-associated NEDD8-dissociated protein 1 (CAND1) was increased in NSCLC tissues. Further research has shown that miR-33a can inhibit lung cancer cell proliferation, cell cycle progression, and migration by targeting CAND1. Moreover, the CAND1 knockout lung cancer cells showed similar results as cells transfected with miR-33a mimic.

CONCLUSIONS

These results suggested that the data mining based on online databases was an effective method in finding novel target in cancer research, and the miR-33a and CAND1 played an important role in lung cancer proliferation and cell migration.

Fluorometric probing of the lipase level as acute pancreatitis biomarkers based on interfacially controlled aggregation-induced emission (AIE)

As a sudden inflammation of the pancreas, acute pancreatitis presents severe complications and a high mortality rate, despite treatment. Lipase in serum serves as an essential biomarker of acute pancreatitis and even pancreatic cancer. Therefore, developing robust, convenient and sensitive probing of lipase levels is greatly needed. In this work, we present glutamate functionalized tetraphenylethylene (TPE) as a "turn-on" fluorescent probe (S1) based on the aggregation-induced emission (AIE) mechanism for lipase levels with new recognition units. In heterogeneous media, the hydrophilic amino and carboxyl groups in the probe were specifically introduced to facilitate its full access to lipase at the oil-water interface and achieve an interfacially controlled AIE process. The linear response of fluorescence ranging from 0 to 80 U L-1, which included the concentration range of the lipase level in human serum, considering the dilution factor if necessary, the limit of detection as low as 0.13 U L-1, and the fast response time (7 min) were determined. The value of the apparent Michaelis-Menten constant (Km) was obtained as 4.23 μM, which indicated superior affinity between lipase and the probe molecule. The selectivity, photostability, dynamic monitoring of the enzymatic reaction, and preliminary commercial enzyme activity screening were summarized. As far as we know, this is the fastest, easiest and most sensitive method for lipase level probing in the reported literature. Finally, probing the lipase level for the first time in real human serum samples was also conducted successfully.

Threonine and tyrosine kinase may serve as a prognostic biomarker for gallbladder cancer

AIM

To detect the expression of threonine and tyrosine kinase (TTK) in gallbladder cancer (GBC) specimens and analyze the associations between TTK expression and clinicopathological parameters and clinical prognosis.

METHODS

A total of 68 patients with GBC who underwent surgical resection were enrolled in this study. The expression of TTK in GBC tissues was detected by immunohistochemistry. The assessment of TTK expression was conducted using the H-scoring system. H-score was calculated by the multiplication of the overall staining intensity with the percentage of positive cells. The expression of TTK in the cytoplasm and nucleus was scored separately to achieve respective H-score values. The correlations between TTK expression and clinicopathological parameters and clinical prognosis were analyzed using Chi-square test, Kaplan-Meier method and Cox regression.

RESULTS

In both the nucleus and cytoplasm, the expression of TTK in tumor tissues was significantly lower than that in normal tissues (P < 0.001 and P = 0.026, respectively). Using the median H-score as the cutoff value, it was discovered that, GBC patients with higher levels of TTK expression in the nucleus, but not the cytoplasm, had favorable overall survival (P < 0.001), and it was still statistically meaningful in Cox regression analysis. Further investigation indicated that there were close negative correlations between TTK expression and tumor differentiation (P = 0.041), CA 19-9 levels (P = 0.016), T stage (P < 0.001), nodal involvement (P < 0.001), distant metastasis (P = 0.024) and TNM stage (P < 0.001).

CONCLUSION

The expression of TTK in GBC is lower than that in normal tissues. Higher levels of TTK expression in GBC are concomitant with longer overall survival. TTK is a favorable prognostic biomarker for patients with GBC.

The SNP-set based association study identifies ITGA1 as a susceptibility gene of attention-deficit/hyperactivity disorder in Han Chinese

Genome-wide association studies, which detect the association between single-nucleotide polymorphisms (SNPs) and disease susceptibility, have been extensively applied to study attention-deficit/hyperactivity disorder (ADHD), but genome-wide significant associations have not been found yet. Genetic heterogeneity and insufficient genomic coverage may account for the missing heritability. We performed a two-stage association study for ADHD in the Han Chinese population. In the discovery stage, 1033 ADHD patients and 950 healthy controls were genotyped using both the Affymetrix Genome-Wide Human SNP Array 6.0 and the Illumina Infinium HumanExome BeadChip. The genotyped SNPs were combined to generate a powerful SNP set with better genomic coverage especially for the nonsynonymous variants. In addition to the association of single SNPs, we collected adjacent SNPs as SNP sets, which were determined by either genes or successive sliding windows, to evaluate their synergetic effect. The candidate susceptibility SNPs were further replicated in an independent cohort of 1441 ADHD patients and 1447 healthy controls. No genome-wide significant SNPs or gene-based SNP sets were found to be associated with ADHD. However, two continuous sliding windows located in ITGA1 (P-value=8.33E-7 and P-value=8.43E-7) were genome-wide significant. The quantitative trait analyses also demonstrated their association with ADHD core symptoms and executive functions. The association was further validated by follow-up replications for four selected SNPs: rs1979398 (P-value=2.64E-6), rs16880453 (P-value=3.58E-4), rs1531545 (P-value=7.62E-4) and rs4074793 (P-value=2.03E-4). Our results suggest that genetic variants in ITGA1 may be involved in the etiology of ADHD and the SNP-set based analysis is a promising strategy for the detection of underlying genetic risk factors.

Preparation of Carriers Based on ZnO Nanoparticles Decorated on Graphene Oxide (GO) Nanosheets for Efficient Immobilization of Lipase from Candida rugosa

Herein, a promising carrier, graphene oxide (GO) decorated with ZnO nanoparticles, denoted as GO/ZnO composite, has been designed and constructed. This carrier was characterized by X-ray powder diffraction, scanning electron microscopy, Fourier transform infrared spectroscopy and thermogravimetry. Then, Candida rugosa lipase (CRL) was immobilized onto the GO-based materials via physical adsorption. Our results indicated that the lipase loading amount on the GO/ZnO composites was about 73.52 mg of protein per g. In the activity assay, the novel immobilized lipase GO/ZnO@CRL, exhibited particularly excellent performance in terms of thermostability and reusability. Within 30 min at 50 °C, the free lipase, GO@CRL and ZnO@CRL had respectively lost 64%, 62% and 41% of their initial activity. However, GO/ZnO@CRL still retained its activity of 63% after 180 min at 50 °C. After reuse of the GO/ZnO@CRL 14 times, 90% of the initial activity can be recovered. Meanwhile, the relative activity of GO@CRL and ZnO@CRL was 28% and 23% under uniform conditions. Hence, GO-decorated ZnO nanoparticles may possess great potential as carriers for immobilizing lipase in a wide range of applications.

BIN1 reverses PD-L1-mediated immune escape by inactivating the c-MYC and EGFR/MAPK signaling pathways in non-small cell lung cancer

Non-small cell lung cancer (NSCLC) is one of the most common and malignant carcinoma worldwide, and the incidence and mortality are increasing rapidly. Immunotherapy targeting programmed death 1/programmed death ligand 1 (PD-L1) signaling has shown prominent clinical effects in treating NSCLC; however, a poor understanding of the associated regulating molecular mechanisms of PD-L1 has become one of the biggest obstacles for further improving efficacy. Bridging integrator-1 (BIN1) can regulate numerous cancer-related molecules to exert multiple tumor-suppressing effects by either interacting or not interacting with c-MYC. In the present study, we observed that there exists a negative correlation between the expression of PD-L1 and BIN1 in NSCLC tissues. The expression levels of BIN1 and PD-L1 were significantly related to the tumor, lymph node and metastasis grade (TNM) stage, invasion range and lymph node metastasis. Simultaneously, for NSCLC patients, the expression statuses of BIN1 and PD-L1 might be independent prognostic factors. Furthermore, the expression of tumor-infiltrating lymphocytes was positively associated with BIN1 expression and negatively related to PD-L1 expression in NSCLC tissues. Importantly, we showed that PD-L1 was under the control of BIN1. In addition, the overexpression of BIN1 could inhibit the c-MYC and epithelial growth factor receptor (EGFR)-dependent PD-L1 expression and reverse the suppressive immuno-microenvironment in vivo. Taken together, our findings indicated that BIN1 restoration in NSCLC could reverse PD-L1-mediated immune escape by inactivating the c-MYC and EGFR/mitogen-activated protein kinase pathways.

Altered Brain Network Connectivity as a Potential Endophenotype of Schizophrenia

Abnormal functional brain connectivity could be considered an endophenotype of psychosis in schizophrenia. Identifying candidate endophenotypes may serve as a tool for elucidating its biological and neural mechanisms. The present study investigated the similarities and differences of features of brain network connectivity between patients and their first-degree relatives. Independent component analysis was conducted on imaging data collected from 34 healthy controls, 33 schizophrenia patients, and 30 unaffected first-degree relatives. The correlation between functional connectivity with neurocognitive performance and clinical symptoms were calculated. Abnormalities of between-network connectivity largely overlapped in patients and first-degree relatives, but the extent of such abnormalities was relatively minor in relatives. Negative connectivity between language networks and executive control networks was impaired in schizophrenia patients and their first-degree relatives, and this decreased connectivity was correlated with performance in language processing. Similar impairments were found in high-visual network and executive network coupling, and this decreased connection was correlated with the severity of positive symptoms in patients. The results indicated that abnormal functional connectivity within and between perceptual systems (i.e., high-visual and language) and executive control networks was related to the generic risk of schizophrenia, which makes it a potential endophenotype for schizophrenia.

[The validity and reliability of simplified Chinese version of the pediatric sleep questionnaire for screening children with obstructive sleep apnea syndrome in Beijing]

Objective: To evaluate the validity and reliability of the simplified Chinese version of pediatric sleep questionnaire (PSQ) used in screening obstructive sleep apnea syndrome (OSAS) of children in Beijing. Methods: Children with snoring who presented to the Sleep Center of Beijing Children's Hospital between August 2014 and July 2015 and healthy children were included in the study. All children underwent PSG and then were divided into OSAS group and control group based on the PSG and their guardians were asked to complete the simplified Chinese version of PSQ that was formed by both translation from PSQ and retroversion to PSQ. Structure validity evaluation included confirmatory factor analysis which used Amos structural equation model and exploratory factor analysis which used principal component analysis. Predictive validity were measured with Logistic regression model. Internal reliability and test-retest reliability were evaluated by Cronbach 's alpha coefficient and intra-class correlation coefficient (ICC), respectively. The screening efficiency was evaluated by the receiver operating characteristic curve (ROC). Results: The study included 235 children aged 3-16 years old, 145 children of them with the age of (5.8±2.1) in OSAS group and 90 children with the age of (7.7±3.3) in control group. Confirmatory factor analysis indicated most items belonging to individual factors with load coefficient ≥ 0.5. Predictive validity analysis revealed 13 items positively related to the diagnosis of OSAS (all OR>1, all P<0.05). Cronbach's alpha coefficients were respectively 0.703 (overall reliability), 0.767 (breathing factor), 0.849 (sleepiness factor) and 0.689 (behavior factor). The test-retest ICC reliability was 0.986 (PSQ), 0.991 (breathing factor), 0.727 (sleepiness factor), and 0.870 (behavior factor) with P<0.05. In receiver operating characteristic curve, the area under curve of simplified Chinese version PSQ score was 0.922 with P<0.05 and the cutoff value of PSQ score was 7 in 22 items with the sensitivity of 0.776, specificity of 0.867, positive predictive value of 0.868 and negative prediction value of 0.774. Conclusions: The simplified Chinese version of PSQ is suitable to the screen of OSAS for the children in Beijing area with good reliability and validity. It also has acceptable sensitivity and specificity for screening children with OSAS when the cutoff score is 7 points.

Thermal conductivities of phosphorene allotropes from first-principles calculations: a comparative study

Phosphorene has attracted tremendous interest recently due to its intriguing electronic properties. However, the thermal transport properties of phosphorene, especially for its allotropes, are still not well-understood. In this work, we calculate the thermal conductivities of five phosphorene allotropes (α-, β-, γ-, δ- and ζ-phase) by using phonon Boltzmann transport theory combined with first-principles calculations. It is found that the α-phosphorene exhibits considerable anisotropic thermal transport, while it is less obvious in the other four phosphorene allotropes. The highest thermal conductivity is found in the β-phosphorene, followed by the δ-, γ- and ζ-phase. The much lower thermal conductivity of the ζ-phase can be attributed to its relatively complex atomic configuration. It is expected that the rich thermal transport properties of phosphorene allotropes can have potential applications in the thermoelectrics and thermal management.

Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry

INTRODUCTION

Prediction of Alzheimer's disease (AD) progression based on baseline measures allows us to understand disease progression and has implications in decisions concerning treatment strategy. To this end, we combine a predictive multi-task machine learning method (cFSGL) with a novel MR-based multivariate morphometric surface map of the hippocampus (mTBM) to predict future cognitive scores of patients.

METHODS

Previous work has shown that a multi-task learning framework that performs prediction of all future time points simultaneously (cFSGL) can be used to encode both sparsity as well as temporal smoothness. The authors showed that this method is able to predict cognitive outcomes of ADNI subjects using FreeSurfer-based baseline MRI features, MMSE score demographic information and ApoE status. Whilst volumetric information may hold generalized information on brain status, we hypothesized that hippocampus specific information may be more useful in predictive modeling of AD. To this end, we applied a multivariate tensor-based parametric surface analysis method (mTBM) to extract features from the hippocampal surfaces.

RESULTS

We combined mTBM features with traditional surface features such as middle axis distance, the Jacobian determinant as well as 2 of the Jacobian principal eigenvalues to yield 7 normalized hippocampal surface maps of 300 points each. By combining these 7 × 300 = 2100 features together with the previous ~350 features, we illustrate how this type of sparsifying method can be applied to an entire surface map of the hippocampus that yields a feature space that is 2 orders of magnitude larger than what was previously attempted.

CONCLUSIONS

By combining the power of the cFSGL multi-task machine learning framework with the addition of AD sensitive mTBM feature maps of the hippocampus surface, we are able to improve the predictive performance of ADAS cognitive scores 6, 12, 24, 36 and 48 months from baseline.

Fangchinoline suppresses growth and metastasis of melanoma cells by inhibiting the phosphorylation of FAK

Melanoma is a malignant tumor with high degree of malignancy, metastasis and high mortality. The etiology of melanoma has not been fully elucidated, and there is no effective drug for the complete treatment of melanoma. In recent years, many traditional Chinese herbal medicines have played an important role in clinical treatment and experimental research on cancer. As a natural product, fangchinoline has the characteristics of enhancing immune function, low toxicity and good liver protection features, so it is considered to be a new type of anticancer drug. In the present study, we found that fangchinoline has inhibitory effects on the proliferation and metastasis of A375 and A875 cells in a concentration-dependent manner. Fangchinoline inhibited the proliferation of A375 and A875 cell activity with IC50 values of 12.41 and 16.20 µM. We also found that fangchinoline could significantly reduce the phosphorylation of Focal adhesion kinase (FAK). In summary, we demonstrated that fangchinoline inhibits the proliferation and metastasis of melanoma cells by suppressing FAK and its downstream signaling pathway. More importantly, we provide a novel mechanism that fangchinoline could be an effective candidate for the treatment of melanoma.

Comparison of Immune Responses in Pigs Infected with Chinese Highly Pathogenic PRRS Virus Strain HV and North American Strain NADC-20

Introduction:

Chinese HP-PRRSV characterized by high morbidity and mortality of all ages of pigs emerged since 2006 in China. The immune response of HP-PRRSV was never compared with conventional low pathogenic PRRSV strain.

Objective:

In this study, we compared the immune responses elicited by a Chinese HP-PRRSV strain HV and a North American RRSV strain NADC20 infections.

Result:

Pigs infected with NADC-20 showed significantly higher Ab titers than HV-PRRSV infected pigs at 9 DPI. Infection with HV-PRRSV induced a significantly higher levels of TNF-α and IL-10 in both sera and lung tissues and higher IFN-α and IFN-γ in the serum. Flow cytometry analysis showed that HV-PRRSV infected pigs generated significantly higher frequencies of NK cells in the peripheral blood and Th/memory, CTLs, and T-reg cells in the lung as compared with NADC-20 infected pigs.

Conclusion:

This study demonstrates that different immunity profiles were elicited by HV-PRRSV and NADC-20, and these differences may contribute to the distinct pathogenesis of HV-PRRSV and NADC-20.

The occurrence of porcine circovirus 3 without clinical infection signs in Shandong Province

Porcine circovirus type 3 (PCV3) was detected in Shandong, China. One hundred and thirty‐two of 222 (59.46%) samples were PCV3 positive, while 52 of 132 (39.39%) samples were co‐infected with PCV2. There were no clinical signs of infection in either multiparous sows or live‐born infants. Two strains of PCV3 were indentified from natural stillborn foetuses. Phylogenetic analysis showed the two strains of PCV3 are 96% identical to the known PCV3/Pig/USA (KX778720.1, KX966193.1 and KX898030.1) and closely related to Barbel Circovirus. Further studies of the epidemiology of PCV3 and the co‐infection with PCV2 are needed.

Enhancing Diffusion MRI Measures By Integrating Grey and White Matter Morphometry With Hyperbolic Wasserstein Distance

In order to improve the preclinical diagnose of Alzheimer's disease (AD), there is a great deal of interest in analyzing the AD related brain structural changes with magnetic resonance image (MRI) analyses. As the major features, variation of the structural connectivity and the cortical surface morphometry provide different views of structural changes to determine whether AD is present on presymptomatic patients. However, the large scale tensor-valued information and relatively low imaging resolution in diffusion MRI (dMRI) have created huge challenges for analysis. In this paper, we propose a novel framework that improves dMRI analysis power by fusing cortical surface morphometry features from structural MRI (sMRI). We first compute the hyperbolic harmonic maps between cortical surfaces with the landmark constraints thus to precisely evaluate surface tensor-based morphometry. Meanwhile, the graph-based analysis of structural connectivity derived from dMRI is conducted. Next, we fuse these two features via the optimal mass transportation (OMT) and eventually the Wasserstein distance (WD) based single image index is computed as a potential clinical multimodality imaging score. We apply our framework to brain images of 20 AD patients and 20 matched healthy controls, randomly chosen from the Alzheimer's Disease Neuroimaging Initiative (AD-NI2) dataset. Our preliminary experimental results of group classification outperformed those of some other single dMRI-based features, such as regional hippocampal volume, mean scores of fractional anisotropy (FA) and mean axial (MD). The novel image fusion pipeline and simple imaging score of structural changes may benefit the preclinical AD and AD prevention research.

The G protein-coupled receptor GPR31 promotes membrane association of KRAS

Mutant KRAS drives oncogenesis when associated with the plasma membrane. Fehrenbacher et al. identify GPR31, a G protein–coupled receptor, as a secretory pathway chaperone that guides the KRAS protein to the plasma membrane.

The product of the KRAS oncogene, KRAS4B, promotes tumor growth when associated with the plasma membrane (PM). PM association is mediated, in part, by farnesylation of KRAS4B, but trafficking of nascent KRAS4B to the PM is incompletely understood. We performed a genome-wide screen to identify genes required for KRAS4B membrane association and identified a G protein–coupled receptor, GPR31. GPR31 associated with KRAS4B on cellular membranes in a farnesylation-dependent fashion, and retention of GPR31 on the endoplasmic reticulum inhibited delivery of KRAS4B to the PM. Silencing of GPR31 expression partially mislocalized KRAS4B, slowed the growth of KRAS-dependent tumor cells, and blocked KRAS-stimulated macropinocytosis. Our data suggest that GPR31 acts as a secretory pathway chaperone for KRAS4B.

Determination of strobilurin fungicide residues in fruits and vegetables by nonaqueous micellar electrokinetic capillary chromatography with indirect laser-induced fluorescence

A nonaqueous micellar electrokinetic capillary chromatography method with indirect LIF was developed for the determination of strobilurin fungicide residues in fruits and vegetables. Hydrophobic CdTe quantum dots (QDs) synthesized in aqueous phase were used as background fluorescent substance. The BGE solution, QD concentration, and separation voltage were optimized to obtain the best separation efficiency and the highest signal intensity. The optimal BGE solution consists of 40 mM phosphate, 120 mM sodium dodecyl sulfate, 15% v/v water and 15% v/v hydrophobic CdTe QDs in formamide, of which apparent pH is 9.5. The optimized separation voltage is controlled as 25 kV. The resultant detection limits of azoxystrobin, kresoxim-methyl, and pyraclostrobin are all 0.001 mg/kg, their linear dynamic ranges are 0.005-2.5 mg/kg, and the recoveries of the spiked samples are 81.7-96.1%, 86.5-95.7%, and 87.3-97.4%, respectively. This method has been proved to be sensitive enough to detect the aforementioned fungicides in fruits and vegetables at the maximum residue limits.