Development of a nomogram for predicting liver transplantation prognosis in hepatocellular carcinoma.

BACKGROUND: At present, liver transplantation (LT) is one of the best treatments for hepatocellular carcinoma (HCC). Accurately predicting the survival status after LT can significantly improve the survival rate after LT, and ensure the best way to make rational use of liver organs. AIM: To develop a model for predicting prognosis after LT in patients with HCC. METHODS: Clinical data and follow-up information of 160 patients with HCC who underwent LT were collected and evaluated. The expression levels of alpha-fetoprotein (AFP), des-gamma-carboxy prothrombin, Golgi protein 73, cytokeratin-18 epitopes M30 and M65 were measured using a fully automated chemiluminescence analyzer. The best cutoff value of biomarkers was determined using the Youden index. Cox regression analysis was used to identify the independent risk factors. A forest model was constructed using the random forest method. We evaluated the accuracy of the nomogram using the area under the curve, using the calibration curve to assess consistency. A decision curve analysis (DCA) was used to evaluate the clinical utility of the nomograms. RESULTS: The total tumor diameter (TTD), vascular invasion (VI), AFP, and cytokeratin-18 epitopes M30 (CK18-M30) were identified as important risk factors for outcome after LT. The nomogram had a higher predictive accuracy than the Milan, University of California, San Francisco, and Hangzhou criteria. The calibration curve analyses indicated a good fit. The survival and recurrence-free survival (RFS) of high-risk groups were significantly lower than those of low- and middle-risk groups (P < 0.001). The DCA shows that the model has better clinical practicability. CONCLUSION: The study developed a predictive nomogram based on TTD, VI, AFP, and CK18-M30 that could accurately predict overall survival and RFS after LT. It can screen for patients with better postoperative prognosis, and improve long-term survival for LT patients.

Molecular and immunological characteristics of postoperative relapse in lymph node-positive esophageal squamous cell cancer.

BACKGROUND: The molecular and immunological characteristics of primary tumors and positive lymph nodes in esophageal squamous cell carcinoma (ESCC) are unknown and the relationship with recurrence is unclear, which this study attempted to explore. METHODS: A total of 30 ESCC patients with lymph node positive (IIB-IVA) were enrolled. Among them, primary tumor and lymph node specimens were collected from each patient, and subjected to 551-tumor-targeted DNA sequencing and 289-immuno-oncology RNA panel sequencing to identify the different molecular basis and immunological features, respectively. RESULTS: The primary tumors exhibited a higher mutation burden than lymph nodes (p < 0.001). One-year recurrent ESCC exhibited a higher Mucin16 (MUC16) mutation rate (p = 0.038), as well as univariate and multivariate analysis revealed that MUC16 mutation is independent genetic factor associated with reduced relapse-free survival (univariate, HR: 5.39, 95% CI: 1.67-17.4, p = 0.005; multivariate, HR: 7.36, 95% CI: 1.79-30.23, p = 0.006). Transcriptomic results showed non-relapse group had higher cytolytic activity (CYT) score (p = 0.025), and was enriched in the IFN-α pathway (p = 0.036), while those in the relapsed group were enriched in the TNF-α/NF-κB (p = 0.001) and PI3K/Akt pathway (p = 0.014). CONCLUSION: The difference in molecular characteristics between primary lesions and lymph nodes may be the cause of the inconsistent clinical outcomes. Mutations of MUC16 and poor immune infiltration are associated with rapid relapse of nodes-positive ESCC.

"seeing" ENF From Neuromorphic Events: Modeling and Robust Estimation.

Most artificial lights exhibit subtle fluctuations in intensity and frequency in response to the influence of the grid's alternating current, providing the potential to estimate the Electric Network Frequency (ENF) from conventional frame-based videos. Nevertheless, the performance of Video-based ENF (V-ENF) estimation largely relies on the imaging quality and thus may suffer from significant interference caused by non-ideal sampling, scene diversity, motion interference, and extreme lighting conditions. In this paper, we show that the ENF can be extracted without the above limitations from a new modality provided by the so-called event camera, a neuromorphic sensor that encodes the light intensity variations and asynchronously emits events with extremely high temporal resolution and high dynamic range. Specifically, we formulate and validate the physical mechanism for the ENF captured in events and then propose a simple yet robust Event-based ENF (E-ENF) estimation method through mode filtering and harmonic enhancement. To validate the effectiveness, we build the first Event-Video ENF Dataset (EV-ENFD) and its extension EV-ENFD+ with diverse scenarios, including static, dynamic, and extreme lighting scenes. Comprehensive experiments have been conducted on our proposed datasets, showcasing that our proposed E-ENF significantly outperforms the V-ENF in extracting accurate ENF traces, especially in challenging environments. The code and dataset are available at https://xlx-creater.github.io/Improved_E-ENF/.

Unambiguous and High-Fidelity Backdoor Watermarking for Deep Neural Networks.

The unprecedented success of deep learning could not be achieved without the synergy of big data, computing power, and human knowledge, among which none is free. This calls for the copyright protection of deep neural networks (DNNs), which has been tackled via DNN watermarking. Due to the special structure of DNNs, backdoor watermarks have been one of the popular solutions. In this article, we first present a big picture of DNN watermarking scenarios with rigorous definitions unifying the black-and white-box concepts across watermark embedding, attack, and verification phases. Then, from the perspective of data diversity, especially adversarial and open set examples overlooked in the existing works, we rigorously reveal the vulnerability of backdoor watermarks against black-box ambiguity attacks. To solve this problem, we propose an unambiguous backdoor watermarking scheme via the design of deterministically dependent trigger samples and labels, showing that the cost of ambiguity attacks will increase from the existing linear complexity to exponential complexity. Furthermore, noting that the existing definition of backdoor fidelity is solely concerned with classification accuracy, we propose to more rigorously evaluate fidelity via examining training data feature distributions and decision boundaries before and after backdoor embedding. Incorporating the proposed prototype guided regularizer (PGR) and fine-tune all layers (FTAL) strategy, we show that backdoor fidelity can be substantially improved. Experimental results using two versions of the basic ResNet18, advanced wide residual network (WRN28_10) and EfficientNet-B0, on MNIST, CIFAR-10, CIFAR-100, and FOOD-101 classification tasks, respectively, illustrate the advantages of the proposed method.

In-situ mechanochemically tailorable 2D gallium oxyselenide for enhanced optoelectronic NO2 gas sensing at room temperature.

The adverse effects of NO2 on the environment and human health promote the development of high-performance gas sensors to address the need for monitoring. Two-dimensional (2D) metal chalcogenides have been considered an emerging group of NO2-sensitive materials, while incomplete recovery and low long-term stability are the two major hurdles for their practical implementation. The transformation into oxychalcogenides is an effective strategy to alleviate these drawbacks, but usually requires multiple-step synthesis and lacks controllability. Here, we prepare tailorable 2D p-type gallium oxyselenide with the thicknesses of 3-4 nm, through a single-step mechanochemical synthesis that combines the in-situ exfoliation and oxidation of bulk crystals. The optoelectronic NO2 sensing performances of such 2D gallium oxyselenide with different oxygen contents are investigated at room temperature, in which 2D GaSe0.58O0.42 exhibits the largest response magnitude of 82.2% towards 10 ppm NO2 at the irradiation of UV, with full reversibility, excellent selectivity, and long term stability for at least one month. Such overall performances are significantly improved over those of reported oxygen-incorporated metal chalcogenide-based NO2 sensors. This work provides a feasible approach to prepare 2D metal oxychalcogenides in a single-step manner and demonstrates their great potential for room-temperature fully reversible gas sensing.

Influences of point defects on electron transport of two-dimensional gep semiconductor device.

The quantum transport properties of defective two-dimensional (2D) GeP semiconductor nanodevice consisting of typical point defects, such as antisite defect, substitutional defect, and Schottky defect, have been studied by using density functional theory combined with non-equilibrium Green's function calculation. The antisite defect has indistinctive influences on electron transport. However, both substitutional and Schottky defect have introduced promising defect state at the Fermi level, indicating the possibility of improvement on the carrier transport. Our quantitative quantum transport calculations ofI-Vbbehavior have revealed that the electrical characters are enhanced. Moreover, the P atom vacancy could induce significant negative differential resistance phenomenon, and the physical mechanism is unveiled by detailed analysis. The transfer characteristic properties could be prominently improved by substitutional defect and vacancy defect. Most importantly, we have proposed a computational design of GeP-based electronic device with improved electrical performance by introducing vacancy defect. Our findings could be helpful to the practical application of novel 2D GeP semiconductor nanodevice in future.

Frequency Spectrum Modification Process-Based Anti-Collusion Mechanism for Audio Signals.

The collusion attack combines multiple multimedia files into one new file to erase the user identity information. The traditional anti-collusion methods (which aim to trace the traitors) can defend the collusion attack, but they cannot well defend some hybrid collusion attacks (e.g., a collusion attack combined with desynchronization attacks). To address this issue, we propose a frequency spectrum modification process (FSMP) to defend the collusion attack by significantly downgrading the perceptual quality of the colluded file. The severe perceptual quality degradation can demotivate the attackers from launching the collusion attack. Because FSMP is orthogonal to the existing traitor-trace-based methods, it can be combined with the existing methods to provide a double-layer protection against different attacks. In FSMP, after several signal processing procedures (e.g., uneven framing and smoothing), multiple signals (called FSMP signals) can be generated from the host signal. Launching collusion attack using the generated FSMP signals would lead to the energy disturbance and attenuation effect (EDAE) over the colluded signals. Due to the EDAE, FSMP can significantly degrade the perceptual quality of the colluded audio file, thereby thwarting the collusion attack. In addition, FSMP can well defend different hybrid collusion attacks. Theoretical analysis and experimental results confirm the validity of the proposed method.

Dynamic neural reconfiguration for distinct strategies during competitive social interactions.

Information exchange between brain regions is key to understanding information processing for social decision-making, but most analyses ignore its dynamic nature. New insights on this dynamic might help us to uncover the neural correlates of social cognition in the healthy population and also to understand the malfunctioning neural computations underlying dysfunctional social behavior in patients with mental disorders. In this work, we used a multi-round bargaining game to detect switches between distinct bargaining strategies in a cohort of 76 healthy participants. These switches were uncovered by dynamic behavioral modeling using the hidden Markov model. Proposing a novel model of dynamic effective connectivity to estimate the information flow between key brain regions, we found a stronger interaction between the right temporoparietal junction (rTPJ) and the right dorsolateral prefrontal cortex (rDLPFC) for the strategic deception compared with the social heuristic strategies. The level of deception was associated with the information flow from the Brodmann area 10 to the rTPJ, and this association was modulated by the rTPJ-to-rDLPFC information flow. These findings suggest that dynamic bargaining strategy is supported by dynamic reconfiguration of the rDLPFC-and-rTPJ interaction during competitive social interactions.

Altered voxel-level whole-brain functional connectivity in multiple system atrophy patients with depression symptoms.

BACKGROUND: It is yet unknown if the whole-brain resting-state network is altered in multiple system atrophy with symptoms of depression. This study aimed to investigate if and how depression symptoms in multiple system atrophy are associated with resting-state network dysfunction. METHODS: We assessed the resting-state functional network matric using Degree centrality (DC) coupling with a second ROI-wise functional connectivity (FC) algorithm in a multimodal imaging case-control study that enrolled 32 multiple system atrophy patients with depression symptoms (MSA-D), 30 multiple system atrophy patients without depression symptoms (MSA-ND), and 34 healthy controls (HC). RESULTS: Compared to HC, MSA-D showed more extensive DC hub dysfunction in the left precentral and right middle frontal cortex than MSA-ND. A direct comparison between MSA-D and MSA-ND detected increased DC in the right anterior cingulum cortex, but decreased DC in the left cerebellum lobule IV and lobule V, left middle pole temporal cortex, and right superior frontal cortex. Only right anterior cingulum cortex mean DC values showed a positive correlation with depression severity, and used ACC as seed, a second ROI-wise functional connectivity further revealed MSA-D patients showed decreased connectivity between the ACC and right thalamus and right middle temporal gyrus (MTG). CONCLUSIONS: These findings revealed that dysfunction of rACC, right middle temporal lobe and right thalamus involved in depressed MSA. Our study might help to the understanding of the neuropathological mechanism of depression in MSA.

Screening and functional study of key miRNAs in circulating exosomes of hypertension / 中国药理学通报

Aim To clarify the effect of circulating exosomes on hypertension, screen out miRNAs which plays a key role, and explore its function.Methods The plasma exosomes of spontaneously hypertensive rats were extracted and injected into Sprague Dawley rats.The blood pressure changes of rats were detected.Plasma exosomes and exosomal RNA of hypertensive patients and SHR were extracted.Real time PCR was used to verify the expression changes of the selected 8 miRNAs; Western blot was used to detect the expression changes of LKB1 and PTEN protein levels in human umbilical vein endothelial cells transfected with miR-17-5p mimics.Results The plasma exosomes of SHRs significantly increased the blood pressure of SD rats(P<0.05).The expression of miR-17-5p and miR-218-5p in the plasma exosomes of hypertensive patients and SHRs both significantly increased.miR-17-5p inhibitors significantly attenuated the effect of SHR-exos on raising blood pressure.miR-17-5p mimics down-regulated the expression of LKB1 and PTEN in HUVECs cultured in vitro.Conclusions The plasma exosomes of SHR can significantly increase blood pressure of Sprague Dawley rats.miR-17-5p may be the key miRNA.exo-miR-17-5p may promote the occurrence and development of hypertension by regulating the LKB1/PTEN signal.

Profiling the pattern of human TRB/IGH-CDR3 repertoire in liver transplantation patients via high-throughput sequencing analysis.

Immune processes in liver transplantation remain poorly understood. Acute allograft rejection in liver transplantation is a kind of T cell-mediated inflammatory disease accompanied by inflammatory cell infiltration. However, the effect of acute allograft rejection on the immunological characteristics of TCRs in peripheral blood mononuclear cell is unknown. In this study, we characterized the pattern of the human T cell receptor beta chain (TRB) and immunoglobulin heavy chain (IGH) complementarity-determining region 3 (CDR3) repertoires via high-throughput sequencing in 11 acute allograft rejection (AG) cases, 23 patients with stable allograft liver function (ST) who had liver transplantation performed and 20 healthy controls (HC). The diversity of TRB-CDR3 was significantly reduced in the AG group compared with the ST group and healthy controls (HC). The CDR3 and N-addition length distribution were not significantly different between the AG and ST groups. However, N-addition length distribution was significantly changed compared to HC. It seemed that AG used more short N-additions and healthy people used more long N-additions in TRB-CDR3 repertoire. Our findings suggested that the TRB-CDR3 region of AG had distinctive V gene use compared with that of HC. The characteristics of ST seemed to be in between those of AG and HC although the difference is not significant. Cluster analysis showed that the TRB repertoire could not effectively distinguish AG from ST. This research might give to a better understanding of the immune process of liver transplantation.

Prognostic significance of lymphovascular invasion in colorectal cancer and its association with genomic alterations.

BACKGROUND: Lymphovascular invasion (LVI) is suggested to be an early and important step in tumor progression toward metastasis, but its prognostic value and genetic mechanisms in colorectal cancer (CRC) have not been well investigated. AIM: To investigate the prognostic value of LVI in CRC and identify the associated genomic alterations. METHODS: We performed a retrospective analysis of 1219 CRC patients and evaluated the prognostic value of LVI for overall survival by the Kaplan-Meier method and multivariate Cox regression analysis. We also performed an array-based comparative genomic hybridization analysis of 47 fresh CRC samples to examine the genomic alterations associated with LVI. A decision tree model was applied to identify special DNA copy number alterations (DCNAs) for differentiating between CRCs with and without LVI. Functional enrichment and protein-protein interaction network analyses were conducted to explore the potential molecular mechanisms of LVI. RESULTS: LVI was detected in 150 (12.3%) of 1219 CRCs, and the presence was positively associated with higher histological grade and advanced tumor stage (both P < 0.001). Compared with the non-LVI group, the LVI group showed a 1.77-fold (95% confidence interval: 1.40-2.25, P < 0.001) increased risk of death and a significantly lower 5-year overall survival rate (P < 0.001). Based on the comparative genomic hybridization data, 184 DCNAs (105 gains and 79 losses) were identified to be significantly related to LVI (P < 0.05), and the majority were located at 22q, 17q, 10q, and 6q. We further constructed a decision tree classifier including seven special DCNAs, which could distinguish CRCs with LVI from those without it at an accuracy of 95.7%. Functional enrichment and protein-protein interaction network analyses revealed that the genomic alterations related to LVI were correlated with inflammation, epithelial-mesenchymal transition, angiogenesis, and matrix remodeling. CONCLUSION: LVI is an independent predictor for survival in CRC, and its development may correlate with inflammation, epithelial-mesenchymal transition, angiogenesis, and matrix remodeling.

Nomogram for Predicting Risk of Intestinal Complications After Colorectal Cancer Surgery.

BACKGROUND Intestinal complications are a major cause of morbidity after colorectal cancer surgery. This study aimed to develop an effective nomogram for predicting risk of intestinal complications following colorectal cancer surgery. MATERIAL AND METHODS We retrospectively analyzed 1876 patients who underwent colorectal cancer surgery at Yangpu and Zhuji hospitals from January 2013 to October 2018. Intestinal complications were defined as intestinal obstruction, leakage or bleeding, or peritonitis within 30 days after surgery. A logistic regression model was used to identify the risk factors associated with postoperative intestinal complications, and a nomogram for intestinal complications was established. The predictive accuracy of the nomogram was assessed using area under the receiver operating characteristic curve (AUC) and calibration plot. RESULTS A total of 164 patients (8.7%) developed intestinal complications after colorectal cancer surgery; 35 (21.3%) of whom died in the postoperative period. Multivariate logistic analysis showed that male gender, history of abdominal surgery, preoperative intestinal obstruction/perforation, metastatic cancer, and lower level of hemoglobin and prognostic nutrition index were independent risk factors (P<0.05 for all). A nomogram was then constructed, and it displayed good accuracy in predicting postoperative intestinal complications with an AUC of 0.76. The calibration plot also showed an excellent agreement between the predicted and observed probabilities. CONCLUSIONS We constructed a nomogram based on clinical variables, which could provide individual prediction of postoperative intestinal complications with good accuracy.

Improving the Visual Quality of Size-Invariant Visual Cryptography for Grayscale Images: An Analysis-by-Synthesis (AbS) Approach.

In visual cryptography (VC) for grayscale image, size reduction leads to bad perceptual quality to the reconstructed secret image. To improve the quality, the current efforts are limited to the design of VC algorithm for binary image, and measuring the quality with metrics that are not directly related to how the human visual system (HVS) perceives halftone images. We propose an analysis-by-synthesis (AbS) framework to integrate the halftoning process and the VC encoding: the secret pixel/block is reconstructed from the shares in the encoder and the error between the reconstructed secret and the original secret images is fed back and compensated concurrently by the error diffusion process. In doing so, the error between the reconstructed secret and original secret is pushed to high frequency band, thus producing visually pleasing reconstructed secret image. This framework is simple and flexible in that it can be combined with many existing size-invariant VC algorithms, including probabilistic VC, random grid VC and vector/block VC. More importantly, it is proved that this AbS framework is as secure as the traditional VC algorithms. Experimental results demonstrate the effectiveness of the proposed AbS framework.

PIK3CA and TP53 mutations predict overall survival of stage II/III colorectal cancer patients.

AIM: To investigate the predictive value of PIK3CA and TP53 mutation status in colorectal cancer (CRC) patients treated with 5-fluorouracil-based chemotherapy. METHODS: In this study, a total of 315 patients with histologically proven CRC were enrolled from Yangpu Hospital affiliated to Shanghai Tongji University between 2007 and 2011. Of these patients, 241 with stage II/III CRC received 5-fluorouracil-based adjuvant chemotherapy. Formalin-fixed paraffin-embedded lesion samples of the patients with curatively resected CRC were collected. Next-generation sequencing was performed to identify somatic gene mutations. The correlation of PIK3CA and TP53 mutation status with overall survival (OS) was analyzed using a Cox proportional hazard model and the Kaplan-Meier method. RESULTS: Among the 241 patients with stage II/III in this cohort, the PIK3CA and/or TP53 mutation was detected in 177 patients, among which 54 patients had PIK3CA and TP53 double mutations. The PIK3CA or TP53 mutation was not significantly correlated with OS in univariate and multivariate analyses. Compared with patients without PIK3CA and TP53 mutations, those with double PIK3CA-TP53 mutations showed a significantly worse survival (univariate HR = 2.21; 95%CI: 1.15-4.24; multivariate HR = 2.02; 95%CI: 1.04-3.91). The PIK3CA mutation located in the kinase domain showed a trend toward a shorter OS compared with wild-type tumors (multivariate HR = 1.56; 95%CI: 1.00-2.44; P = 0.052). The Kaplan-Meier curve showed that patients harboring the PIK3CA mutation located in the kinase domain had a worse clinical outcome than those with wild-type status (Log-rank P = 0.041). CONCLUSION: Double mutation of PIK3CA and TP53 is correlated with a shorter OS in stage II/III CRC patients treated with 5-fluorouracil-based therapy.

Diagnosis and treatment of micro-paragangliomas in urinary bladdler / 基础医学与临床

Objective To develope the diagnostic criteria and surgical methods to treat micro-paraganagliomas (<1 cm) of urinary bladder ( PUB) , we now report a case series study including 5 individual cases .Methods Clinical data of 5 patients with micro-PUBs who underwent surgical treatment were obtained and analyzed retrospectively . Two male patients and three female patients were included in our study with the mean age of 51 ( range from 41 to 65 years) .4 patients were reported as symptomatic due to hypercatecholaminemia , while the other was free of symptoms.24-hour urine catecholamine ( CA) examination was utilized to qualitatively diagnose PUB , positive in 75%patients.Ultrasonography(USG), CT, MRI, 111In-DTPA-Octreotide scintigraphy (OctreoScan) and 131 I-MIBG scintigraphy were used to locate the tumor , positive in 80%, 20%, 75%, 25%and 33%patients respectively .What's more, all 5 patients underwent transurethral resection of tumor .Overfilling of bladder and puncture following ultra-sonography guidance were performed to locate the tumors , when tumors were absent in surgical vision .Results All tumors were located and resected completely with no open conversions .It took 0.5 to 26 minutes to locate the tumor and another 3 to 10 minutes to resect the tumors .All lesions were diagnosed by histopathological confirma-tion, especially by immunohistochemical staining.Blood pressure return to normal level after the procedures.No local recurrence or distal metastasis were observed by performing 24-hour urine CA test , USG, cystoscopy and MRI within adequate follow-up.The mean follow-up duration was 38.6 months, ranging from 6 to 120 months.Conclu-sions USG and MRI examination were considered better in detecting micro PUB than CT-scan.Overfilling of blad-der and puncture following USG guidance may support more accurate tumor location intraoperatively if the tumors were not found in transurethral resection procedures .

Association between doctor selection habit and precision search on Internet medical platform / 中华医学图书情报杂志

The difference between doctor selection needs of the public and medical service at present was analyzed according to the questionnaire investigation of doctor selection habit of the public. The association between the focus on doctor personal information and the importance of different factors influencing doctor selection was analyzed ac-cording to the information searching methods used by the public when they selected their doctor. The effective pre-cision search approaches and methods on the Internet medical platform were proposed, including information searching methods on innovation platform, standardizing the weight of different kinds of information, and perfecting the pushing and recommending mechanisms for doctor selection searching results.

Rosiglitazone promotes apoptosis in colon cancer HT29 and HCT116cells through AKT/GSK3βsignalling pathway / 中国比较医学杂志

Objective To investigate the effect of rosiglitazone on the proliferation and apoptosis of colon cancer cells and the changes in the AKT/GSK3β signaling pathway. Methods Different concentrations of rosiglitazone ( 20. 0μmol/L, 40. 0 μmol/L, 80. 0 μmol/L) were used to treat colon cancer HT29 cells and HCT116 cells. Cell proliferation was detected by MTT assay. Annexin V FITC/PI cell death detection kit was used to test the cell apoptosis rate. The expression of apoptotic protein Bcl-2, Bax and Akt, GSK3β were detected by Western blot. Results Different concentrations of rosiglitazone had different effect on the proliferation of colon cancer cells compared with the blank control group, and showed a dose dependence (P< 0. 01). With the increase of rosiglitazone dose, the apoptosis-inducing effect @was increased dose-dependently (P< 0. 01). When the cells were treated with rosiglitazone for 48 h, the expressions of Bcl-2/Bax, p-GSK3β, and p-Akt were significantly decreased compared with the blank control group (P< 0. 01), but the expression level of Akt and GSK3β was not significantly different compared with the blank control group ( P > 0. 05 ) . Conclusions Rosiglitazone significantly induces apoptosis and inhibits the proliferation of HT29 cells. It may be via inhibiting Akt/GSK3β signaling pathway and change the ratio of Bcl-2/Bax.

Progress in function of HDL-eNOS signaling pathway in cardiovascular system and it' s influencing factors / 中国病理生理杂志

High-density lipoprotein ( HDL) is negatively related to the risk of cardiovascular diseases such as atherosclerosis .Recent studies have shown that HDL activates a variety of target cells , such as vascular endothelial cells and macrophages , and activates the related cell signaling pathway to exert an anti-atherosclerosis role .HDL is a complex substance which composes of multiple particles .The changes of many factors affect the characteristics and functions of HDL, and then affect the activation of endothelial nitric oxide synthase ( eNOS) .This paper summarizes the recent correla-tion studies, and expounds the related factors that affect the HDL-eNOS signaling pathway .

Application of CRISPR/Cas 9 system for the research of retinal development and inherited retinal diseases / 眼科新进展

The system of clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated nuclease (Cas) 9 is an effective tool for revising the genome with great accuracy,and boost the advances in life science.By employing this system,we discover the regulation role of key gene during retina development and correct the abnormal mutation of these genes.In this paper,we summarize CRISPR-based technologies that enable mammalian genome editing and their various applications.And CRISPR/Cas9 may be a promising tool to disclosure the mechanism of retinal diseases so as to develop novel treatment for patients with retinitis pigmentosa.