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The study aimed to explore the correlation of the diameter and blood flow velocity of the internal jugular vein with the preoperative blood volume in elderly patients and to providence for rapid evaluation of preoperative blood volume with ultrasound in elderly patients. Thirty patients over 65 years old were recruited in the study. Patient’s central venous pressure (CVP) was recorded before anesthesia. The maximum diameter (Dmax) and the minimum diameter (Dmin) of the left internal jugular vein were measured by M type ultrasound and the respiratory variation index (RVI), defined as (Dmax − Dmin) / Dmax × 100%, was calculated. The maximum blood flow velocity (BVmax) and the minimum blood flow velocity (BVmin) were measured by Doppler ultrasound, and the blood flow variation index (BVI), defined as (BVmax − BVmin) / BVmax × 100%, was calculated. Then, each of the patients was given with 5 ml/kg crystalloid solution, and the relevant data were measured again and compared to that before infusion. The correlation between each measurement index and CVP, and their efficiency in predicting CVP > 6 mmHg were statistically evaluated. No matter before or after infusion, Dmax, Dmin, BVmax, and BVmin were positively correlated with CVP (Correlation is significant at the 0.01 level (2-tailed)); and RVI was negatively correlated with CVP (Correlation is significant at the 0.01 level (2-tailed)); however, BVI is negatively correlated with the CVP with no statistically significant difference. Through the analysis of ROC curve, Dmax, Dmin, RVI, BVmax, and BVmin could be used to predict the CVP > 6 mmHg in these patients, and the best index was BVmax; BVI diagnosis was not effective. Ultrasonic measurements of internal jugular vein diameter, respiratory variability, and blood flow velocity were correlated with preoperative CVP in elderly patients, indicating that these indexes could potentially be used to evaluate the preoperative blood volume in elderly patients.

Mesenchymal stem cells (MSCs) mainly found in the bone marrow of adult mammals demonstrate unique capacities of differentiating into multiple cell lineages and undifferentiated MSCs are considered an ideal source of seed cells for cell therapy and tissue engineering. However, MSCs are heterogeneous and not abundant in bone marrow, and there are few specific markers for these cells currently. Therefore, new methods to isolate and characterize MSCs are urgently required. To address the problem, we successfully developed a high-specificity aptamer, called Apt-W2, to specifically recognize mouse bone marrow mesenchymal stem cells (mBMSCs). We synthesized Apt-W2 modified magnetic beads (Apt-W2-MBs) and used them as bait to fish out the MSCs from mouse bone marrow accurately by magnetic-activated cell sorting (MACS). Next, the sorted cells could break free from the Apt-W2-MBs by the competition of C-W2 (complementary strands of Apt-W2). As a result, the sorted cells were intact, and maintained the stem cell phenotype and good proliferative ability. Simultaneously, the sorted cells showed high pluripotency to differentiate into osteoblasts, chondrocytes, and adipocytes. More importantly, the Apt-W2-MB cocktail showed a fine capture performance for MSCs (∼88.33%). This new methodological approach can greatly facilitate MSC isolation efficiently and intactly, thereby enhancing the rate of

The development of multifunctional nanoplatforms that integrate both diagnostic and therapeutic functions has always been extremely desirable and challenging in the cancer combat. Here, we report an endogenous miRNA-activated DNA nanomachine (EMDN) in living cells for concurrent sensitive miRNA imaging and activatable gene silencing. EMDN is constructed by interval hybridization of two functional DNA monomers (R/HP and F) to a DNA nanowire generated by hybridization chain reaction. After the target cell-specific transportation of EMDN, intracellular let-7a miRNA initiates the DNA nanomachine by DNA strand displacement cascades, resulting in an amplified fluorescence resonance energy-transfer signal and the release of many free HP sequences. The restoration of HP hairpin structures further activates the split-DNAzyme to identify and cleave the EGR-1 mRNA to realize gene silencing therapy. The proposed EMDN shows efficient cell internalization, good biological stability, rapid reaction kinetics, and the ability to avoid false-positive signals, thus ensuring reliable miRNA imaging in living cells. Meanwhile, the controlled activation of the split-DNAzyme activity regulated by the intracellular specific miRNA may be promising in the precise treatment of cancer. Collectively, this strategy provides a valuable nanoplatform for early clinical diagnosis and activatable gene therapy of tumors.

To investigate effect and mechanism of maternal exposure to trace cadmium on the differentiation and development in testis of male offspring rats. Thirty-two pregnant female SD rats were randomly divided into 4 groups: CdCl2 treated group (group A) was intraperitoneally injected with CdCl2 (1.5 mg/kg.d); DES group(group B) was subcutaneously injected with DES (100 μg/kg.d); CdCl2 +TMX group(group C) was treated with CdCl2 (same as above)+TMX (50 mg/kg.d); control group (group D) was treated with the same dose normal saline instead of CdCl2. On day 30th after parturition, the weight and sex ratio of off-spring male rats were recorded; Offspring testes were used for ultrastructural observation. Ultrastructural changes including swollen mitochondria and expanded endoplasmic reticulum in Sertoli cells, gonocyte and Leydig cells, moreover, lipid droplets cumulated in Leydig cells were observed in group A and group B, and so changes in group C were slightly more than those in group A or group B. The expression of StAR and inhibin-B in Leydig cells decreased significantly in group A and group B (p < 0.05), but there were no difference between group C and group D (P > 0.05). Cadmium has similar effect as estrogen which would affect gonadal differentiation and development in male fetal rats.

The positive predictive effect of children's problem behaviors on parenting stress has been verified to some extent, but research on parents of children with special needs remains insufficient. Moreover, the role of parental personality traits in the relationship between children's problem behaviors and parenting stress, and whether it differs from before the COVID-19 pandemic, remains unclear. Accordingly, in this study, online questionnaires were used to survey parents of children with autism and intellectual disabilities in China - 337 parents before and 604 during the COVID-19 pandemic - to explore the relationship between problem behaviors in the children and parenting stress as well as the moderating effect of parents' personality. The results showed that problem behaviors of children with autism and intellectual disabilities had a positive predictive effect on parenting stress. However, there was no significant difference in this effect before and during the pandemic. In addition, the relationship between children's problem behaviors and parenting stress was moderated by the Agreeableness and Neuroticism of the parents, but only during COVID-19 pandemic. The research results suggest that, during the pandemic when facing problem behaviors of children with autism or intellectual disabilities, positive personality characteristics such as Agreeableness have a protective effect on parenting stress. By contrast, negative personality characteristics such as Neuroticism are risk factors. The study results provide evidence from special groups regarding the role of parents' personalities in the parent - child interaction and the parenting stress models.

Cancer has become one of the most common diseases with high mortality in humans. Early and accurate diagnosis of cancer is of great significance to enhance the survival rate of patients. Therefore, effective molecular ligands capable of selectively recognizing cancer are urgently needed. In this work, we identified a new DNA aptamer named SW1 by tissue-based systematic evolution of ligands by exponential enrichment (tissue-SELEX), in which cancerous liver tissue sections were used as the positive control and adjacent normal liver tissue sections were used as the negative control. Taking immobilized liver cancer SMMC-7721 cells as the research object, aptamer SW1 exhibited excellent affinity with a Kd value of 123.62 ± 17.53 nM, and its binding target was preliminarily determined as a non-nucleic acid substance in the nucleus. Moreover, tissue imaging results showed that SW1 explicitly recognized cancerous liver tissues with a high detection rate of 72.7% but displayed a low detection rate to adjacent normal tissues. In addition to liver cancer cells and tissues, aptamer SW1 has been demonstrated to recognize various other types of cancer cells and tissues. Furthermore, SW1-A, an optimized aptamer of SW1, maintained its excellent affinity toward liver cancer cells and tissues. Collectively, these results indicate that SW1 possesses great potential for use as an effective molecular probe for clinical diagnosis of cancer.

Some studies have shown that telemedicine is effective for managing serum glucose levels in patients with type 2 diabetes (T2DM), but few studies have examined the effect of telemedicine on the management of complications in T2DM. The aim of this study was to compare the effects of telemedicine with those of outpatient care on the following parameters in T2DM patients: hemoglobin Alc (HbA1c), urinary albumin to creatinine ratio (UACR), carotid plaque, and incidence of hypoglycemia. In total, 148 adult patients with T2DM were randomized into a telemedicine group (n = 74) and a control group (n = 74). In the telemedicine group, a wireless intelligent blood-glucose meter was used to monitor blood-glucose levels, transmit data, and upload information on diet, exercise frequency, and oral medications, while the control group underwent routine outpatient follow-up. HbA1c, UACR, incidence of hypoglycemia, and carotid plaque were measured at baseline and at 3 and 6 months in the telemedicine group and the control group. There were no statistically significant differences in baselines data (p > 0.05) between the telemedicine group and the control group such as age (50.04 ± 5.76 vs. 52.21 ± 8.38, p = 0.750), diabetes course (6.24 ± 1.95 vs. 6.09 ± 1.66, p = 0.622), and gender (51/21 vs. 43/27, p = 0.236). After 6 months of follow-up, the telemedicine group, compared with the control group, showed significant decreases in incidence of hypoglycemia (25% vs. 41.4%, p = 0.038) and HbA1c (7.38 ± 1.67% vs. 8.22 ± 2.04%, p 0.05) between the telemedicine group and the control group. The telemedicine system reduced rate of hypoglycemia and indexes of HbA1c in patients with T2DM, whereas no significant differences in UACRs or carotid plaque were found.

Background Many studies have shown that solute carrier family 35 member F2 (SLC35F2) plays a key role in the biological processes of multiple cancers. However, there have been no reports on the role of SLC35F2 in the occurrence and development of bladder cancer (BC). Methods SLC35F2 expression data and clinical and prognostic information from BC patients were obtained from databases. SLC35F2 expression in BC was verified by quantitative real-time PCR (qRT-PCR). The influence of SLC35F2 knockdown on the proliferation, apoptosis, migration and invasion in the 5637 and T24 cell lines was studied, and tumor formation experiments were performed in nude mice. Gene set enrichment analysis (GSEA) was used to predict the pathways and functions of SLC35F2 in BC. Results SLC35F2 was highly expressed in BC tissues and was associated with invasiveness and T stage in BC patients. SLC35F2 knockdown can inhibit the proliferation, migration and invasion of BC cells and can promote apoptosis. SLC35F2 knockdown significantly reduced tumorigenesis in nude mice. GSEA showed that BC, pathways in cancer, apoptosis and the P53 signaling pathway were significantly enriched in SLC35F2 high expression phenotype. Conclusion SLC35F2 can promote malignant progression and is a potential therapeutic target in BC.

Background: Ferroptosis is closely related to the occurrence and development of cancer. An increasing number of studies have induced ferroptosis as a treatment strategy for cancer. However, the predictive value of ferroptosis-related lncRNAs in bladder cancer (BC) still need to be further elucidated. The purpose of this study was to construct a predictive signature based on ferroptosis-related long noncoding RNAs (lncRNAs) to predict the prognosis of BC patients.Methods: We downloaded RNA-seq data and the corresponding clinical and prognostic data from The Cancer Genome Atlas (TCGA) database and performed univariate and multivariate Cox regression analyses to obtain ferroptosis-related lncRNAs to construct a predictive signature. The Kaplan-Meier method was used to analyze the overall survival (OS) rate of the high-risk and low-risk groups. Gene set enrichment analysis (GSEA) was performed to explore the functional differences between the high- and low-risk groups. Single-sample gene set enrichment analysis (ssGSEA) was used to explore the relationship between the predictive signature and immune status. Finally, the correlation between the predictive signature and the treatment response of BC patients was analyzed.Results: We constructed a signature composed of nine ferroptosis-related lncRNAs (AL031775.1, AL162586.1, AC034236.2, LINC01004, OCIAD1-AS1, AL136084.3, AP003352.1, Z84484.1, AC022150.2). Compared with the low-risk group, the high-risk group had a worse prognosis. The ferroptosis-related lncRNA signature could independently predict the prognosis of patients with BC. Compared with clinicopathological variables, the ferroptosis-related lncRNA signature has a higher diagnostic efficiency, and the area under the receiver operating characteristic curve was 0.707. When patients were stratified according to different clinicopathological variables, the OS of patients in the high-risk group was shorter than that of those in the low-risk group. GSEA showed that tumor- and immune-related pathways were mainly enriched in the high-risk group. ssGSEA showed that the predictive signature was significantly related to the immune status of BC patients. High-risk patients were more sensitive to anti-PD-1/L1 immunotherapy and the conventional chemotherapy drugs sunitinib, paclitaxel, cisplatin, and docetaxel.Conclusion: The predictive signature can independently predict the prognosis of BC patients, provides a basis for the mechanism of ferroptosis-related lncRNAs in BC and provides clinical treatment guidance for patients with BC.

Background The current study aimed to explore the association between two epigenomic components, miRNA and DNA methylation, in bladder cancer (BC). Methods Eight paired samples of tumor tissue and matched adjacent normal tissues from BC patients were subjected to methylated DNA immunoprecipitation sequencing and sRNA-Seq for differentially methylated miRNA genes and differential miRNA analysis. The miRNAs regulated by DNA methylation were screened and their functions involved in BC were analyzed using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) as well as a miRNA-mRNA interaction network. Results The methylation levels of 212 genes were different between tumors and normal tissues with specific enrichment at transcription initiation and termination sites. Among these genes, 154 were hypermethylated and 58 were hypomethylated. GO and KEGG pathway enrichment analysis indicated that differentially methylated miRNA genes were mainly enriched in tumor-associated GO terms and signaling pathways. Pairwise statistical analysis of MeDIP-Seq and sRNA-Seq data showed that there are 154 and 165 candidate methylation-regulated genes in tumors and normal tissues, respectively. Notably, an interaction network indicated that the miRNAs regulated by methylation regulated a broad range of mRNAs associated with cancer development and progression. In particular, the most differentially expressed miRNAs were validated by qRT-PCR, such that miR-145-5p was downregulated and miR-182-5p was upregulated in patients with bladder cancer. Conclusion A large number of miRNA genes were modified by methylation in BC. Identification of changes in the expression of these miRNAs provides a great deal of important information for BC diagnosis.

The understanding of acid rock reaction kinetics is the basis for the proposal of carbonate rock acidizing and acid fracturing. So far, the study of acid rock reaction kinetics in carbonate reservoirs is mostly focused on limestone reservoirs. The difference in acid rock reaction characteristics between limestone and dolomite reservoirs is obvious. In order to clarify the boundaries of control models and mechanisms of acid rock reaction in dolomite reservoirs, to guide the optimization of acidizing and acid fracturing proposal for carbonate reservoirs with different dolomite contents.The experimental study of acid rock reaction kinetics was completed with carbonate cores with different dolomite mass fraction, and the difference of acid corrosion mechanism between limestone and dolomite was analyzed by scanning electron microscope.The dolomite acid rock reaction kinetics equation under the control of different factors was established, and it was clarified that the temperature 90°C and the rotation speed 500r/min are the boundary of the surface reaction and mass transfer control mode. The study found that under the same experimental conditions, the acid rock reaction rate of dolomite is much lower than that of limestone; as the dolomite mass fraction increases, the acid rock reaction rate decreases rapidly, when the dolomite content exceeds 75%, the reaction rate of acid rock is reduced to the lowest and tends to be stable. Limestone is dominated by surface dissolution, with good dissolution effect, fast dissolution rate; dolomite is dominated by point dissolution, with holes on the surface, poor dissolution effect and low dissolution rate. Compared with limestone, the particle size of dolomite crystal is much larger, and the specific surface area is small, which is also the reaction rate of acid rock in dolomite is slower than limestone, this is also a main reason why the reaction rate of dolomite acid rocks is slower than that of limestone. So the acidizing or acid fracturing methodology of the dolomite reservoir is different from that of the limestone reservoir. The acid rock reaction rate and hydrochloric acid concentration should be appropriately increased within the allowable range to improve the uneven etching of the fracture wall, thereby increasing increase the conductivity of acid fracture.

Microhaplotype as an emerging genetic marker has attracted more attention in forensic field. The purpose of this study was to evaluate the potential of microhaplotypes in individual identification and ancestry inference in Chinese Hainan Li and 26 1000 G populations. Three microhaplotypes were genotyped from 100 Li individuals using Agena MassARRAY. Moreover, 2504 individuals from 26 populations (1000 Genomes Project database) were enrolled. The genotypes frequencies of microhaplotypes in each population were calculated by the Plink software. We used Structure, Arlequin, and MEGA6 software to analyze the genetic structure, differentiation and genetic background difference, respectively. The forensic parameters of these microhaplotypes were calculated using Modified Powerstats software. The distribution of genotypes frequencies of three microhaplotypes elaborated the high diversities among the Li and 26 1000 G populations. Li population had a close genetic relationship with EAS populations using structure analysis. No differentiation was observed between Li and CHS population by Fst analysis. The NJ tree showed that the genetic background of Li and CHS is most similar. The average heterozygosity (HE), probability of match (PM), power of discrimination (PD), probability of exclusion (PE) and polymorphism information content (PIC) values for the three microhaplotypes in 27 populations were 0.535, 0.497, 0.465, 0.325, and 0.481, respectively. In conclusion, our results revealed three microhaplotypes as individual identification and ancestry inference genetic markers among Li population and 26 1000 G populations. Future studies are needed to confirm our results with larger samples and select much higher forensic efficacy microhaplotypes.

Highly sensitive detection of cancer cells is of great importance for evaluating cancer development and improving survival rates. Here, we developed a split aptamer mediated proximity-induced hybridization chain reaction (HCR) strategy to meet this purpose. In this strategy, two split aptamer initiator probes, Sp-a and Sp-b, and two HCR hairpin probes, H1 and H2 were designed. The split aptamer initiator probes contained two components, split aptamer domains being responsible for target recognition, and the split initiator parts serving as the HCR promoter. In the presence of target cells, Sp-a and Sp-b would self-assemble on the cell surfaces, allowing the formation of an intact nicked initiator to activate the HCR reaction. Benefit from low background split aptamers and HCR amplification, this strategy presented high sensitivity in quantitative detection with a detection limit of 18 cells in 150 μL of binding buffer. Moreover, the approach exhibited excellent specificity to target cells in 10% fetal bovine serum and mixed cell samples, which was favorable for clinical diagnosis in complex biological environment. In addition, by changing the split aptamers attached to the split initiator, the proposed strategy can be expanded to detect various kinds of target cells. It may provide a novel and useful applicable platform for the sensitive detection of cancer cells in biomedicine and tumor-related studies.

Abnormal autophagy is closely related to the development of cancer. Many studies have demonstrated that autophagy plays an important role in biological function in clear cell renal cell carcinoma (ccRCC). This study aimed to construct a prognostic signature for ccRCC based on autophagy-related genes (ARGs) to predict the prognosis of ccRCC. Differentially expressed ARGs were obtained from ccRCC RNA-seq data in The Cancer Genome Atlas (TCGA) database. ARGs were enriched by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The prognostic ARGs used to construct the risk score models for overall survival (OS) and disease-free survival (DFS) were identified by Cox regression analyses. According to the median value of the risk score, patients were divided into a high-risk group and a low-risk group. The OS and DFS were analyzed by the Kaplan-Meier method. The predictive accuracy was determined by a receiver operating characteristic (ROC) curve analysis. Additionally, we performed stratification analyses based on different clinical variables and evaluated the correlation between the risk score and the clinical variables. The differentially expressed ARGs were mainly enriched in the platinum drug resistance pathway. The prognostic signatures based on 11 ARGs for OS and 5 ARGs for DFS were constructed and showed that the survive time was significantly shorter in the high-risk group than in the low-risk group (P < 0.001). The ROC curve for OS exhibited good predictive accuracy, with an area under the curve value of 0.738. In the stratification analyses, the OS time of the high-risk group was shorter than that of the low-risk group stratified by different clinical variables. In conclusion, an autophagy-related signature for OS we constructed can independently predict the prognosis of ccRCC patient, and provide a deep understanding of the potential biological mechanisms of autophagy in ccRCC.

BackgroundSeveral P450 metabolic enzymes genes have been discovered that affect the genetic susceptibility of bladder cancer. While, there is no report about CYP19A1 gene polymorphism on the susceptibility of bladder cancer. So, we performed a case–control study to investigate the association between polymorphisms in CYP19A1 gene and the susceptibility to bladder cancer in Chinese Han population.Materials:Five SNPs were selected and genotyped in 217 patients and 550 healthy controls. Odds ratio (OR) and 95% confidence intervals (CI) were calculated by logistic regression adjusted for age and gender.ResultsWe found that CYP19A1 rs4646 “A” allele and rs17601876 “GA” genotype added the risk of bladder cancer (rs4646: OR = 1.28, 95%CI: 1.01 - 1.62, p = 0.043; rs17601876: OR= 1.64, 95%CI: 1.17 – 2.29, p = 0.004 ), while with rs6493487 “G” and rs1062033 “G” allele in CYP19A1 gene reduced the risk of bladder cancer (rs6493487: OR = 0.68, 95%CI: 0.51 - 0.89, p = 0.005; rs1062033: OR = 0.36, 95%CI: 0.28 - 0.47, p = 9.09E-16). WHO grade stratified analysis shown that rs6493487 (OR =0.42, 95%CI: 0.23 – 0.76, p = 0.004) and rs17601876 (OR =0.44, 95%CI: 0.23 – 0.85, p = 0.015) reduced the risk of bladder cancer with WHO III-IV, when compared with the bladder cancer with WHO I-II. Age stratified analysis shown that rs4646 “A”, rs6493487 “G”, and rs1062033 “G” allele were associated with bladder cancer risk.ConclusionOur results suggested that the Aromatase CYP19A1 gene has potential roles in the genetic susceptibility to bladder cancer.

Bladder cancer is a tumour of the urinary system with high mortality, and there is also a great lack of therapeutic targets in the clinic. Cell division cycle associated 8 (CDCA8), an important component of the vertebrate chromosomal passenger complex, is highly expressed in various tumours and promotes tumour development. However, the role of CDCA8 in bladder cancer is not fully understood. This study aimed to reveal the function of CDCA8 in bladder cancer by determining the relationship between CDCA8 expression and proliferation, metastasis and apoptosis of bladder cancer cells. Firstly, we studied the mRNA expression of CDCA8 through the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) databases and analysed the correlation between CDCA8 expression and prognosis of patients with bladder cancer. We also verified CDCA8 expression in bladder cancer tissues by immunohistochemistry. In addition, CDCA8 expression was inhibited in bladder cancer T24 and 5637 cells, and the effects of CDCA8 on the proliferation, migration and invasion of bladder cancer cell lines were investigated using cell counting kit-8, colony formation, cell cycle, apoptosis, wound healing and Transwell invasion assays. Results showed that CDCA8 was highly expressed in bladder cancer compared with normal tissues, and the high CDCA8 expression was significantly correlated with the poor prognosis of patients. Inhibiting CDCA8 expression inhibited the proliferation, migration and invasion of T24 and 5637 cells and induced the apoptosis of bladder cancer cells. CDCA8 was involved in the regulation of the growth cycle of bladder cancer cells. Bioinformatics-based mechanism analysis revealed that high CDCA8 expression may affect the cell cycle and P53 signalling pathways. In conclusion, our results suggest that CDCA8 is highly expressed in bladder cancer and can promote tumour development. Hence, CDCA8 may serve as an effective therapeutic target for treatment of bladder cancer.

Two-dimensional (2D) structured nanosheets of Polyaniline/Titanium dioxide (PANI/TiO2) composites were synthesized and characterized. Electrorheological (ER) fluids of as-synthesized composites dispersed in silicone oil were prepared, the ER performances were investigated. The results showed that the as-synthesized composites are 2D structured PANI coated TiO2 nanosheets with the thickness of 2.7 nm, the suspension of 5 wt% particle concentration shows very low off-field viscosity and enhanced ER performances. Rheological analysis and dielectric analysis indicated that 2D nanosheets composites presented good polarizability and polarization rate in silicone oil under external electric field, and the polarized particles can form chain, column even 3D network structures to resist the shear force, which contributed to enhanced ER performances.

Dynamic changes of protein-glycosylation on cell surface act as an important indicator that reflects cellular physiological states and disease developments. The enhanced visualization of protein-specific glycosylation is of great value to interpret its functions and mechanisms. Hence, we present an intramolecular trigger remodeling-induced hybridization chain reaction (HCR) for imaging protein-specific glycosylation. This strategy relies on designing two DNA probes, protein and glycan probes, labeled respectively on protein by aptamer recognition and glycan through metabolic oligosaccharide engineering (MOE). Upon the same glycoprotein was labeled, the complementary domain of two probes induces hybridization and thus to remodel an intact trigger, followed by initiating HCR assembly. Applying this strategy, we successfully achieved imaging of specific protein-glycosylation on CEM cell surface and monitored dynamic changes of the glycosylation after treating with drugs. It provides a powerful tool with high flexibility, specificity and sensitivity in the research field of protein-specific glycosylation on living cells.

Introduction Hypoglycaemia is a clinical syndrome from various causes, which happens when the blood glucose concentration is too low. Many studies show that telemedicine intervention can improve glycemic control and has a positive impact on the management of diabetic patients. The purpose of this study was to evaluate the effect of telemedicine intervention on hypoglycemic event occurrences and results on hemoglobin A1c (HbA1c) and body mass index (BMI). Methods We searched the Cochrane Library, PubMed, Web of Science, the EBSCO host, and OVID to identify relevant studies published from January 2006 to December 2017. The work of searching, selecting and assessing risk of bias was administrated by two independent reviewers. The primary outcomes were hypoglycemic event rate and HbA1c; the secondary outcome was BMI. Results From 1246 articles, we identified 14 eligible RCTs ( n = 1324). Compared to usual care, telemedicine was found to reduce the odds of hypoglycaemia (odds ratio ( OR) = 0.42; 95% confidence interval ( CI) = 0.29–0.59; I2 = 32%; p 2 = 53%; p = 0.0005), but that telemedicine had no effect on BMI (mean difference = −0.27; 95% CI = −0.86–0.31; I2 = 40%; p = 0.35). Discussion Compared to usual care, the use of telemedicine was found to improve HbA1c and reduce the risk of moderate hypoglycaemia in diabetic patients, but without significant difference in BMI.

Multimodal data have recently become nearly ubiquitous in the real world. Exploring the multimodal fusion is beneficial to improve the performance of the system. However, it is difficult to ensure that data collected from different sources are full pairing. In this paper, we will focus on the weakly paired case of multimodal data, i.e., each modality is partitioned into multiple groups, only paired information on groups is known instead of full pairing between data samples. A new framework of weakly paired multimodal fusion based on multilayer extreme learning machine (ML-ELM) is proposed in this paper, which will find complex nonlinear transformations of each modality of data such that the resulting representations are highly correlated. In this framework, unsupervised hierarchical ELM performs feature extraction for all modalities separately. Then, the higher-level representations from all modalities perform joint dimension reduction by weakly paired maximum covariance analysis. We evaluate our framework on three challenging cross-modal datasets, and the results have proved the effectiveness of proposed method.

BACKGROUND Etomidate and rocuronium are often paired in rapid-sequence anesthesia induction. However, the effect of pretreatment with oxycodone on myoclonic and withdrawal movements has not been previously investigated. The aim of this study was to evaluate the effects of oxycodone on the incidence and severity of etomidate-induced myoclonus and rocuronium-induced nociceptive withdrawal movements during rapid-sequence anesthesia induction. MATERIAL AND METHODS We randomly divided 120 patients into the saline group (group S) and the oxycodone group (group O) (n=60 in each group). Patients received 0.05 mg/kg oxycodone or saline intravenously 2 min before administration of 0.3 mg/kg etomidate. The occurrence and severity of myoclonus were assessed after administration of etomidate, then rocuronium was injected, followed by evaluation of withdrawal movements. RESULTS The total frequency of involuntary movements following sequential administration of etomidate and rocuronium was significantly lower in Group O than in Group S (28.3% vs. 90%, p

// Yingai Zhang 1, * , Shunlan Wang 1, * , Xiaohong Wen 1 , Shufang Zhang 1 and Yijun Yang 2 1 Central Laboratory, Haikou People’s Hospital, Central South University Xiangya School of Medicine Affiliated Haikou Hospital, Haikou 570208, Hainan, China 2 Department of Hepatobiliary Surgery, Haikou People’s Hospital, Central South University Xiangya School of Medicine Affiliated Haikou Hospital, Haikou 570208, Hainan, China * These authors have contributed equally to this work Correspondence to: Yijun Yang, email: dryyj@163.com Shufang Zhang, email: haikouyiyuan@126.com Keywords: hepatocellular carcinoma (HCC), hepatitis B virus (HBV), ACYP2 , MPHOSPH6 , association analysis Received: June 01, 2017 Accepted: August 02, 2017 Published: September 12, 2017 ABSTRACT Hepatocellular carcinoma (HCC) is the dominant histologic type of primary liver cancer, and hepatitis B virus (HBV) infection is one of the major causes of HCC in the chronic HBV. Our study was investigated the association between the polymorphisms of ACYP2 and MPHOSPH6 genes and the risk of HCC induced by HBV infection. A total of 490 subjects were divided into two groups: 248 HBV patients with HCC (Case group), and 242 HBV patients without HCC (Control group). Unconditional logistic regression analysis was used to evaluate the association. The genetic association analysis revealed variant of rs12621038 in ACYP2 gene had a significant association with increasing the risk of HBV-induced HCC based on the genotype, dominant and additive model ( P

Metastasis, which derived from a primary tumor, accounts for 90% of mortality caused by cancer. Early diagnosis of cancer metastasis may significantly improve cure rate of patients who are at high risk for developing metastasis. In this study, we successfully achieved metastatic cancer cell and tissue-specific fluorescence imaging by using a new aptamer developed by cell-based systematic evolution of ligands by exponential enrichment (Cell-SELEX). With metastatic colorectal carcinoma LoVo cells as selection target, the aptamer named J3 which bind to metastatic cancer cells with good affinity and specificity was obtained. Then J3 was labeled with Cy5 fluorescent group (J3-Cy5) for imaging metastatic cancer cells, the results demonstrated excellent imaging contrast. Moreover, the results of tissue section imaging revealed that J3-Cy5 probe explicitly recognized lymph node tissue with colorectal carcinoma metastasis with a high detection rate of 73.9%, but showed a low detection rate to colorectal carcinoma tissue with no metastasis or cancer adjacent tissue. Therefore, the targeting reagent J3-based fluorescence imaging possesses great potential for clinical diagnosis of cancer metastasis.

N6-methyladenosine (m6A) is the most common form of messenger RNA (mRNA) modification. An increasing number of studies have proven that m6A RNA methylation regulators are overexpressed in many cancers and participate in the development of cancer through the dynamic regulation of m6A RNA methylation regulators. However, the prognostic role of m6A RNA methylation regulators in bladder cancer (BC) is poorly understood. In the present study, we downloaded the mRNA expression data from The Cancer Genome Atlas (TCGA) database and the corresponding clinical and prognostic information. The relationship between m6A RNA methylation regulators and clinicopathological variables of BC patients was assessed by the Kolmogorov–Smirnov test. The expression of the m6A RNA methylation regulators was differentially associated with different clinicopathological variables of BC patients. The least absolute shrinkage and selection operator (LASSO) Cox regression model was then applied to identify three m6A RNA methylation regulators. The risk signature was constructed as follows: 0.164FTO − (0.081YTHDC1+0.032WTAP). Based on the risk signature, the risk score of each patient was calculated, and the patients were divided into a high-risk group and a low-risk group. The overall survival (OS) rate of the high-risk group was significantly lower than that of the low-risk group. The risk signature was not only an independent prognostic marker for BC patients but also a predictor of clinicopathological variables. In conclusion, m6A RNA methylation regulators can participate in the malignant progression of BC, and a risk signature with three selected m6A RNA methylation regulators may be a promising prognostic biomarker to guide personalized treatment for BC patients.