A mathematical model for the role of dopamine-D2 self-regulation in the production of ultradian rhythms.

Many self-motivated and goal-directed behaviours display highly flexible, approximately 4 hour ultradian (shorter than a day) oscillations. Despite lacking direct correspondence to physical cycles in the environment, these ultradian rhythms may be involved in optimizing functional interactions with the environment and reflect intrinsic neural dynamics. Current evidence supports a role of mesostriatal dopamine (DA) in the expression and propagation of ultradian rhythmicity, however, the biochemical processes underpinning these oscillations remain to be identified. Here, we use a mathematical model to investigate D2 autoreceptor-dependent DA self-regulation as the source of ultradian behavioural rhythms. DA concentration at the midbrain-striatal synapses is governed through a dual-negative feedback-loop structure, which naturally gives rise to rhythmicity. This model shows the propensity of striatal DA to produce an ultradian oscillation characterized by a flexible period that is highly sensitive to parameter variations. Circadian (approximately 24 hour) regulation consolidates the ultradian oscillations and alters their response to the phase-dependent, rapid-resetting effect of a transient excitatory stimulus. Within a circadian framework, the ultradian rhythm orchestrates behavioural activity and enhances responsiveness to an external stimulus. This suggests a role for the circadian-ultradian timekeeping hierarchy in governing organized behaviour and shaping daily experience through coordinating the motivation to engage in recurring, albeit not highly predictable events, such as social interactions.

USP5 facilitates bladder cancer progression by stabilizing the c-Jun protein.

BACKGROUND: Bladder cancer is the second most common genitourinary malignancy worldwide. The death rate of bladder cancer has increased every year. However, the molecular mechanism of bladder cancer is not sufficiently studied. Deubiquitinating enzymes (DUBs) play an important role in carcinogenesis. Several studies have demonstrated that USP5 associated with malignancy and pathological progression in hepatocellular carcinoma, colorectal and non-small cell lung cancer. However, the role of USP5 in bladder cancer need to be explored. METHODS: The USP5 expression was analysed using the web server GEPIA. To explore USP5 function in bladder cancer, we constructed USP5-knockout cell lines in T24 cells. A FLAG-USP5 (WT USP5) plasmid and a plasmid FLAG-USP5 C335A (catalytic-inactive mutant) used to overexpress USP5 in EJ cells. CCK8, colony formation, transwell and scratch assays were used to assess cell viability, proliferation and migration. RNA sequencing (RNA-seq) and dual-luciferase reporter assays were performed to screen the pathway. Coimmunoprecipitation and immunofluorescence were used to explore the interaction between USP5 and c-Jun. Cycloheximide (CHX) chase assays were performed to establish the effect of USP5 on c-Jun stability. Xenograft mouse model was used to study the role of USP5 in bladder cancer. RESULTS: USP5 expression is increased in bladder cancer patients. Genetic ablation of USP5 markedly inhibited bladder cancer cell proliferation, viability, and migration both in vitro and in vivo. RNA-seq and luciferase pathway screening showed that USP5 activated JNK signalling, and we identified the interaction between USP5 and c-Jun. USP5 was found to activate c-Jun by inhibiting its ubiquitination. CONCLUSIONS: Our results show that high USP5 expression promotes bladder cancer progression by stabilizing c-Jun and that USP5 is a potential therapeutic target in bladder cancer.

Successful treatment of new-onset diabetes mellitus and IgA nephropathy after COVID-19 vaccination: a case report.

De novo glomerular injuries or relapse of nephropathy following COVID-19 vaccine has been reported. Here we present the first case of successful treatment of new-onset diabetes mellitus and biopsy-proven IgA nephropathy after COVID-19 vaccination. A 56-year-old man with no known medical history of renal dysfunction or diabetes mellitus developed both within 3 months after receiving a third dose of inactivated COVID-19 vaccine (Vero cells). His symptoms were characterized by brown urine, severe dry mouth, and excessive thirst. Randomly acquired blood glucose levels exceeded 33.3 mmol/L. A kidney biopsy showed IgA nephropathy. He was started on insulin for glycemic control. After glucocorticoid and cyclophosphamide treatment, oral tablets of repaglinide, combined with acarbose, controlled blood glucose and stabilized kidney function. This case is unique because the kidneys and pancreas were simultaneously affected by the vaccine. Successful treatment of the disease proved that cyclophosphamide combined with glucocorticoids were effective and that blood glucose was successfully controlled. This treatment option could be useful in similar cases in the future.

Low-fat ice cream model system: impact of incorporation of alcalase hydrolyzed zein.

Research on fat substitutes with low calories and good flavor is important to reduce the fat content in food. In this paper, the selection of fat substitutes and the preparation of low-fat ice cream were carried out through looking at the emulsion properties of the enzymatic hydrolysis of zein. The results showed that the emulsifying activity of zein after enzymatic hydrolysis for 10 min was 66.76 m2 g-1, and the emulsifying stability was 78.51 min, showing the best emulsifying properties. Enzymatic hydrolysis of zein can effectively reduce the degree of lipid oxidation. The protein digestibility in intestinal juice was also significantly improved, and the release rate of free fatty acids in the emulsion reached more than 80%. The viscosity, shear stress, elastic modulus, electronic nose and electronic tongue of ice cream with 10% oil substitute were close to those of full-fat ice cream. It is expected to provide a basis for the development of functional foods.

Nanoemulsion: A novel delivery approach for thermosensitive IgG on inhibiting milk fat oxidation.

IgG, a biologically active substance in bovine colostrum, is easily inactivated during heat treatment and edible process to lose its biological activity. Nanoemulsion can effectively protect IgG to maintain its biological activity from injurious treatment. In this study, a food-grade nanoemulsion system was developed to protect IgG from heat and acid damage. It can be found that the residual rate of nanoemulsion-protected IgG reaches 87.1 % after 10 min at 72 °C. After 5 min at 82 °C, the residual rate of IgG in nanoemulsion was 18.7 % higher than that in PBS. In the simulated gastric fluid at pH 2.0, the residual rate of IgG in the nanoemulsion reacted for 4 h was 21.5 % higher than that in PBS. It indicated that nanoemulsion system can improve the heat and acid resistance of IgG compared with others, which is attributed to the lowest water activity of nanoemulsion. The contents of hydroperoxide and malondialdehyde in the milk after storage for 72 h with nanoemulsion-protected IgG were 0.12 meq/kg and 0.04 mg/kg, respectively, less than that of PBS-protected IgG. IgG is protected by nanoemulsion can effectively protect its activity during processing, which provides a theoretical basis for its direct application in liquid milk.

Computed tomography-based deep-learning prediction of lymph node metastasis risk in locally advanced gastric cancer.

Purpose: Preoperative evaluation of lymph node metastasis (LNM) is the basis of personalized treatment of locally advanced gastric cancer (LAGC). We aim to develop and evaluate CT-based model using deep learning features to preoperatively predict LNM in LAGC. Methods: A combined size of 523 patients who had pathologically confirmed LAGC were retrospectively collected between August 2012 and July 2019 from our hospital. Five pre-trained convolutional neural networks were exploited to extract deep learning features from pretreatment CT images. And the support vector machine (SVM) was employed as the classifier. We assessed the performance using the area under the receiver operating characteristics curve (AUC) and selected an optimal model, which was compared with a radiomics model developed from the training cohort. A clinical model was built with clinical factors only for baseline comparison. Results: The optimal model with features extracted from ResNet yielded better performance with AUC of 0.796 [95% confidence interval (95% CI), 0.715-0.865] and accuracy of 75.2% (95% CI, 67.2%-81.5%) in the testing cohort, compared with 0.704 (0.625-0.783) and 61.8% (54.5%-69.9%) for the radiomics model. The predictive performance of all the radiological models were significantly better than the clinical model. Conclusion: The novel and noninvasive deep learning approach could provide efficient and accurate prediction of lymph node metastasis in LAGC, and benefit clinical decision making of therapeutic strategy.

Silencing miRNA-324-3p protects against cerebral ischemic injury via regulation of the GATA2/A1R axis.

Previous studies have suggested that miR-324-3p is related to the pathophysiology of cerebral ischemia, but the mechanism underlying this relationship is unclear. In this study, we found that miR-324-3p expression was decreased in patients with acute ischemic stroke and in in vitro and in vivo models of ischemic stroke. miR-324-3p agomir potentiated ischemic brain damage in rats subjected to middle cerebral artery occlusion, as indicated by increased infarct volumes and cell apoptosis rates and greater neurological deficits. In a PC12 cell oxygen-glucose deprivation/reoxygenation model, a miR-324-3p mimic decreased cell viability and expression of the anti-apoptotic protein BCL2 and increased expression of the pro-apoptotic protein BAX and rates of cell apoptosis, whereas treatment with a miR-324-3p inhibitor had the opposite effects. Silencing miR-324-3p increased adenosine A1 receptor (A1R) expression through regulation of GATA binding protein 2 (GATA2). These findings suggest that silencing miR-324-3p reduces ischemic brain damage via the GATA2/A1R axis.

Liver injury changes the biological characters of serum small extracellular vesicles and reprograms hepatic macrophages in mice.

BACKGROUND: Serum small extracellular vesicles (sEVs) and their small RNA (sRNA) cargoes could be promising biomarkers for the diagnosis of liver injury. However, the dynamic changes in serum sEVs and their sRNA components during liver injury have not been well characterized. Given that hepatic macrophages can quickly clear intravenously injected sEVs, the effect of liver injury-related serum sEVs on hepatic macrophages deserves to be explored. AIM: To identify the characteristics of serum sEVs and the sRNAs during liver injury and explore their effects on hepatic macrophages. METHODS: To identify serum sEV biomarkers for liver injury, we established a CCL4-induced mouse liver injury model in C57BL/6 mice to simulate acute liver injury (ALI), chronic liver injury (CLI) and recovery. Serum sEVs were obtained and characterized by transmission electron microscopy and nanoparticle tracking analysis. Serum sEV sRNAs were profiled by sRNA sequencing. Differentially expressed microRNAs (miRNAs) were compared to mouse liver-enriched miRNAs and previously reported circulating miRNAs related to human liver diseases. The biological significance was evaluated by Ingenuity Pathway Analysis of altered sEV miRNAs and conditioned cultures of ALI serum sEVs with primary hepatic macrophages. RESULTS: We found that both ALI and CLI changed the concentration and morphology of serum sEVs. The proportion of serum sEV miRNAs increased upon liver injury, with the liver as the primary contributor. The altered serum sEV miRNAs based on mouse studies were consistent with human liver disease-related circulating miRNAs. We established serum sEV miRNA signatures for ALI and CLI and a panel of miRNAs (miR-122-5p, miR-192-5p, and miR-22-3p) as a common marker for liver injury. The differential serum sEV miRNAs in ALI contributed mainly to liver steatosis and inflammation, while those in CLI contributed primarily to hepatocellular carcinoma and hyperplasia. ALI serum sEVs decreased both CD86 and CD206 expression in monocyte-derived macrophages but increased CD206 expression in resident macrophages in vitro. CONCLUSION: Serum sEVs acquired different concentrations, sizes, morphologies and sRNA contents upon liver injury and could change the phenotype of liver macrophages. Serum sEVs therefore have good diagnostic and therapeutic potential for liver injury.

[Effect of Yes-associated protein in regulation of electroacupuncture pretreatment on cerebral ischemia reperfusion injury rats].

OBJECTIVE: To observe the effect of electroacupuncture (EA) pretreatment on inflammatory reaction, apoptosis and expression of Yes-associated protein (YAP) of ischemic penumbra of cerebral cortex in cerebral ischemia reperfusion injury rats, and to explore the possible mechanism of its neuroprotection effect. METHODS: A total of 84 SD rats were randomized into a sham operation group (12 rats), a model group (18 rats), an EA group (18 rats), an EA+YAP virus transfection group (18 rats) and an EA+virus control group (18 rats). Except for the sham operation group, thread embolization method was adopted to establish the middle cerebral artery occlusion (MCAO) model in rats of the other groups. EA was applied at "Baihui" (GV 20) and "Dazhui" (GV 14) for 30 min in the 3 EA intervention groups 2 h before model establishment, disperse-dense wave, 2 Hz/15 Hz in frequency and 1 mA in intensity. Adenovirus transfection technique was used to induce gene silencing of YAP in the EA+YAP virus transfection group, and adenovirus vectors was injected as negative control in the EA+virus control group 4 d before model establishment. Twenty-four hours after model establishment, neurological function score was evaluated, the relative cerebral infarction area was observed by TTC staining, the apoptosis in the ischemic penumbra of cerebral cortex was detected by TUNEL staining, the levels of inflammatory factors IL-1ß, IL-6 and TNF-α in the ischemic penumbra of cerebral cortex was detected by ELISA method, the expression of YAP was detected by Western blot and immunofluorescence. RESULTS: Compared with the sham operation group, the expression of YAP was increased in the model group (P<0.05); compared with the model group, the expression of YAP in the ischemic penumbra of cerebral cortex was increased in the EA group (P<0.05). Compared with the sham operation group, the neurological function score, the percentage of TUNEL positive cells and the levels of IL-1ß, IL-6 and TNF-α in the ischemic penumbra of cerebral cortex were increased in the model group (P<0.001, P<0.01); compared with the model group, the neurological function score, the relative cerebral infarction area, the percentage of TUNEL positive cells and the levels of IL-1ß, IL-6 and TNF-α in the ischemic penumbra of cerebral cortex were decreased in the EA group (P<0.05, P<0.01); compared with the EA group, the neurological function score, the relative cerebral infarction area, the percentage of TUNEL positive cells and the levels of IL-1ß, IL-6 and TNF-α in the ischemic penumbra of cerebral cortex were increased in the EA+YAP virus transfection group (P<0.01, P<0.05); compared with the EA+YAP virus transfection group, the neurological function score, the relative cerebral infarction area, the percentage of TUNEL positive cells and the levels of IL-1ß, IL-6 and TNF-α in the ischemic penumbra of cerebral cortex were decreased in the EA+virus control group (P<0.01, P<0.05). CONCLUSION: Electroacupuncture pretreatment can effectively improve the ischemia reperfusion injury, its mechanism may be related to up-regulating the expression of YAP in the ischemic penumbra of cerebral cortex and relieving the apoptosis and inflammatory reaction.

[Transcriptomic Analysis of csn2 Gene Mutant Strains of Streptococcus mutans CRISPR-Cas9 System].

OBJECTIVE: To explore the differences in transcriptional levels between mutant strains of csn2 gene of CRISPR-Cas9 system of Streptococcus mutans( S. mutans) and wild-type strains. METHODS: The S. mutans UA159, csn2-gene-deleted strains (Δ csn2) and csn2-gene-covering strains (Δ csn2/pDL278- csn2) of S. mutans were cultivated. Total RNA was extracted, and high-throughput sequencing technology was used for transcriptome sequencing. Based on the GO analysis and the KEGG analysis of the differentially expressed genes, the biological processes involved were thoroughly examined. The qRT-PCR method was used to verify the transcriptome sequencing results. RESULTS: The transcriptome results showed that, compared with UA159, there were 176 genes in Δ csn2 whose gene expression changed more than one fold ( P<0.05), of which 72 were up-regulated and 104 were down-regulated. The GO enrichment analysis and the KEGG enrichment analysis revealed that both the up-regulated and down-regulated differentially expressed genes (DEG) were involved in amino acid transport and metabolism. In addition, the biological processes that up-regulated DEGs participated in were mainly related to carbohydrate metabolism, energy production and conversion, and transcription; down-regulated DEGs were mainly related to lipid metabolism, DNA replication, recombination and repair, signal transduction mechanisms, nucleotide transport and metabolism. The functions of some DEGs were still unclear. Results of qRT-PCR verified that the expressions of leuA, leuC and leuD(genes related to the formation of branched-chain amino acids) were significantly down-regulated in Δ csn2 when compared with UA159 and Δ csn2/pDL278- csn2. CONCLUSION: Through transcriptome sequencing and qRT-PCR verification, it was found that the expression of genes related to branched-chain amino acid synthesis and cell membrane permeability in Δ csn2 changed significantly.

Materials and Microenvironments for Engineering the Intestinal Epithelium.

The barrier functions of the gastrointestinal tract rely in large part on a single layer of columnar intestinal epithelial cells. These epithelial cells are mediators of intestinal homeostasis, regulating and communicating biochemical signals between underlying stromal cells and luminal cues. The development of representative in vitro models to recapitulate the gastrointestinal epithelium is crucial to understanding cell-cell interactions during intestinal homeostasis and dysfunction. Ideally, models would contain microbiota/immune cells, polarized intestinal architecture, multilayered cellular complexity, extracellular matrix, biochemical cues, and mechanical deformation. This review focuses on historical and state of the art biomaterials and substrates used in the field to establish static and fluidic models of the intestinal epithelium. A discussion of conventional adenocarcinoma colon cancer cell lines, primary intestinal epithelial cells derived from organoids, and stromal support cells such as enteric neurons, myofibroblasts, and immune cells, as well as the importance of increasing cellular complexity and future outlook is included.

[Simultaneous determination of three antidepressant drugs in feces by HLPC-MS].

Objective: To establish a high performance liquid chromatography tandem mass spectrometry (HPLC / MS) method for the simultaneous determination of three antidepressant drugs in feces. Methods: Samples were pretreated with n-hexane isopropanol (95:5, v/v). Gradient elution was carried out with mixed liquid of ultrapure water and acetonitrile as mobile phase and separated by Agilent ZORBAX SB-C18 liquid chromatography column (2.1 mm×100 mm, 3.5 m). The samples were detected by electrospray ionization tandem mass spectrometry and quantified by internal standard method. Results: The recoveries of duloxetine, fluoxetine and escitalopram in fecal samples were 61.6% - 116.5%, with precision of 2.80% - 12.9% (n=5). The correlation coefficients (r) of linear equations were all greater than 0.995. The detection limits were 0.1, 1, and 0.001 µg/g, and the limits of quantification were 0.5, 2 and 0.005 µg/g, respectively. Conclusion: The method is simple and accurate to detect the contents of three antidepressants in feces, such as duloxetine, fluoxetine and escitalopram.

Role of spinal adenosine A1 receptors in the analgesic effect of electroacupuncture in a rat model of neuropathic pain.

OBJECTIVE: The aim of this study was to determine the role of spinal adenosine A1 receptors (A1Rs) in the analgesic effects of electroacupuncture (EA) for neuropathic pain. METHODS: We performed EA for 30 minutes at the zusanli acupoint in the legs of rats with previously induced chronic constriction injuries and observed the mechanical and thermal pain thresholds 1 hour later. We also examined adenosine levels by high-performance liquid chromatography and A1R expression in the L4-6 spinal cord by western blot analysis. We then injected A1R short interfering RNA (AV-shA1RNA) into the L4-6 spinal cord to downregulate A1R expression and re-examined the mechanical and thermal pain thresholds. RESULTS: Adenosine levels and A1R expression in the L4-6 spinal cord were increased at 1 hour after EA. In addition, EA exhibited an analgesic effect that was reversed by AV-shA1RNA. CONCLUSIONS: Our results suggest that EA at the zusanli acupoint elicits an analgesic effect against neuropathic pain, mediated by A1Rs in the spinal cord.

Engineering molecular imaging strategies for regenerative medicine.

The reshaping of the world's aging population has created an urgent need for therapies for chronic diseases. Regenerative medicine offers a ray of hope, and its complex solutions include material, cellular, or tissue systems. We review basics of regenerative medicine/stem cells and describe how the field of molecular imaging, which is based on quantitative, noninvasive, imaging of biological events in living subjects, can be applied to regenerative medicine in order to interrogate tissues in innovative, informative, and personalized ways. We consider aspects of regenerative medicine for which molecular imaging will benefit. Next, genetic and nanoparticle-based cell imaging strategies are discussed in detail, with modalities like magnetic resonance imaging, optical imaging (near infra-red, bioluminescence), raman microscopy, and photoacoustic microscopy), ultrasound, computed tomography, single-photon computed tomography, and positron emission tomography. We conclude with a discussion of "next generation" molecular imaging strategies, including imaging host tissues prior to cell/tissue transplantation.

The efficacy of polidocanol sclerotherapy in mucocele of the minor salivary gland.

OBJECTIVES: Mucocele of the minor salivary gland is usually caused when the duct is injured, mucus leaks into the tissue space and the mucous gland are obstructed, which lead to cystic lesion formation and dilatation. Currently, there are multiple therapeutic methods available with various outcomes. This study aims to provide clinical evidence of polidocanol sclerotherapy for the treatment of mucocele of the minor salivary gland. METHODS: In this study, we injected polidocanol into 112 patients who were diagnosed with mucocele of the minor salivary gland and evaluated the treatment efficacy and safety systematically. RESULTS: Of the 122 cases, 102 cases were cured, eight cases showed remarkable remission, and two cases had partial remission. No recurrence was found during follow-up, and none of the cases showed an invalid effect, resulting in a total cure rate of 91.07%. No severe side effects were observed during treatment or the follow-up period. No significant difference in efficacy between different genders was found (P = 0.490). Polidocanol sclerotherapy for mucocele on the lower lip was more effective compared to mucocele on the inferior surface of the lingual apex (P = 0.035). CONCLUSION: Polidocanol sclerotherapy showed satisfying curative effects for mucocele of the minor salivary gland without causing side effects of anesthesia, trauma, or severe pain.

Diagnostic and prognostic value of microRNA-628 for cancers.

Background: Many studies manifested miRNA-628 (miR-628) was deregulated in various cancers, indicating that miR-628 might serve as a novel biomarker of cancer diagnosis and prognosis, but it's role was still uncertain. This study aimed to evaluate the value of miR-628 in various cancers for diagnosis and prognosis, as well as its predictive power in combination biomarkers. Materials and Methods: A literature search was performed using Medline (via PubMed), Embase, Web of Science databases, and Ovid platform up to November 2017. Meta-analysis was performed to provide summative outcomes. Quality assessment of each included study was performed. Results: Twelve articles with 20 studies were included in our meta-analysis, including 8 articles with 15 studies for diagnostic meta-analysis and 4 articles with 5 studies for prognostic meta-analysis. For the diagnostic meta-analysis of miR-628 alone, the overall pooled results for sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the area under the summary receiver operating characteristic (SROC) curve (AUC) were 0.81 (95% CI: 0.62-0.91), 0.72 (95% CI: 0.48-0.88), 2.90 (95% CI: 1.50-5.40), 0.27 (95% CI: 0.14-0.50), 11.0 (95% CI: 4.00-25.00), and 0.84 (95% CI: 0.80-0.87), respectively. For the diagnostic meta-analysis of miR-628-related combination biomarkers, the above six parameters were 0.89 (95% CI: 0.84-0.92), 0.93 (95% CI: 0.82-0.97), 12.30 (95% CI: 4.70-32.50), 0.12 (95% CI: 0.08-0.19), and 100.00 (95% CI: 28.00-354.00), 0.93 (95% CI: 0.90-0.95), respectively. For the prognostic meta-analysis, patients with lower miR-628 had significant shorter overall survival than high expression of miR-628 (HR = 1.553, 95% CI: 1.041-2.318, z = 2.16, P = 0.031). Conclusions: This study confirms that miR-628 may be a promising biomarker for cancer diagnosis and prognosis. Expertly, microRNAs combination biomarkers could be a new alternative for clinical application.

Interplay between topological phase and self-acceleration in a vortex symmetric Airy beam.

Photons in an optical vortex usually carry orbital angular momentum, which boosts the application of the micro-rotation of absorbing particles and quantum information encoding. Such photons propagate along a straight line in free space or follow a curved trace once guided by an optical fiber. Teleportation of an optical vortex using a beam with non-diffraction and self-healing is quite challenging. We demonstrate the manipulation of the propagation trace of an optical vortex with a symmetric Airy beam (SAB) and found that the SAB experiences self-rotation with the implementation of a topological phase structure of coaxial vortex. Slight misalignment of the vortex and the SAB enables the guiding of the vortex into one of the self-accelerating channels. Multiple off-axis vortices embedded in SAB are also demonstrated to follow the trajectory of the major lobe for the SAB beam. The Poynting vector for the beams proves the direction of the energy flow corresponding to the intensity distribution. Hence, we anticipate that the proposed vortex symmetric Airy beam (VSAB) will provide new possibilities for optical manipulation and optical communication.

A unified solution for different scenarios of predicting drug-target interactions via triple matrix factorization.

BACKGROUND: During the identification of potential candidates, computational prediction of drug-target interactions (DTIs) is important to subsequent expensive validation in wet-lab. DTI screening considers four scenarios, depending on whether the drug is an existing or a new drug and whether the target is an existing or a new target. However, existing approaches have the following limitations. First, only a few of them can address the most difficult scenario (i.e., predicting interactions between new drugs and new targets). More importantly, none of the existing approaches could provide the explicit information for understanding the mechanism of forming interactions, such as the drug-target feature pairs contributing to the interactions. RESULTS: In this paper, we propose a Triple Matrix Factorization-based model (TMF) to tackle these problems. Compared with former state-of-the-art predictive methods, TMF demonstrates its significant superiority by assessing the predictions on four benchmark datasets over four kinds of screening scenarios. Also, it exhibits its outperformance by validating predicted novel interactions. More importantly, by using PubChem fingerprints of chemical structures as drug features and occurring frequencies of amino acid trimer as protein features, TMF shows its ability to find out the features determining interactions, including dominant feature pairs, frequently occurring substructures, and conserved triplet of amino acids. CONCLUSIONS: Our TMF provides a unified framework of DTI prediction for all the screening scenarios. It also presents a new insight for the underlying mechanism of DTIs by indicating dominant features, which play important roles in the forming of DTI.

Synthesis, Study, and Discrete Dipole Approximation Simulation of Ag-Au Bimetallic Nanostructures.

Water-soluble Ag-Au bimetallic nanostructures were prepared via co-reduction and seed-mediated growth routes employing poly-(4-styrenesulfonic acid-co-maleic acid) (PSSMA) as both a reductant and a stabilizer. Ag-Au alloy nanoparticles were obtained by the co-reduction of AgNO3 and HAuCl4, while Ag-Au core-shell nanostructures were prepared through seed-mediated growth using PSSMA-Au nanoparticle seeds in a heated AgNO3 solution. The optical properties of the Ag-Au alloy and core-shell nanostructures were studied, and the growth mechanism of the bimetallic nanoparticles was investigated. Plasmon resonance bands in the range 422 to 517 nm were observed for Ag-Au alloy nanoparticles, while two plasmon resonances were found in the Ag-Au core-shell nanostructures. Furthermore, discrete dipole approximation theoretical simulation was used to assess the optical property differences between the Ag-Au alloy and core-shell nanostructures. Composition and morphology studies confirmed that the synthesized materials were Ag-Au bimetallic nanostructures.