Exploration into the Mechanism of Yiyi Baijiang Decoction Attenuating Chronic Pelvic Inflammation Based on Network Pharmacology and Experimental Verification.

Patients with chronic pelvic inflammation (CPI) experience irregular menstrual, ectopic pregnancy, and infertility. Yiyi Baijiang Decoction attenuates CPI in patients with uncovered mechanisms. CPI therapeutic targets intersected with those of Yiyi Baijiang Decoction, followed by importing into STRING to obtain protein-target interaction. "Drug-component-disease-target" interaction was constructed by Cytoscape. mRNA and protein levels were detected by real-time quantitative PCR (RT-qPCR) and western blot. Yiyi Baijiang Decoction contained 199 active ingredients. There were 1071 drug targets for Yiyi Baijiang Decoction and 1622 therapeutic targets for CPI. The GO functional enrichment analysis revealed 3445 biological processes, and the KEGG pathway enrichment analysis screened 67 signal pathways. Decreased ALB, increased protein kinase B (AKT1), interleukin (IL)-6, vascular endothelial growth factor A (VEGFA), and phosphatidylinositol-4,5-bisphosphate 3-kinase (PI3K/AKT)-extracellular-regulated protein kinases (ERK)1/2 activation in CPI mice were abolished by Yiyi Baijiang Decoction. Yiyi Baijiang Decoction attenuates CPI by inactivating PI3K/AKT and ERK1/2 and regulating ALB, VEGFA, AKT1, and IL-6.

Elucidating doxycycline biotransformation mechanism by Chryseobacterium sp. WX1: Multi-omics insights.

Doxycycline (DOX) represents a second-generation tetracycline antibiotic that persists as a challenging-to-degrade contaminant in environmental compartments. Despite its ubiquity, scant literature exists on bacteria proficient in DOX degradation. This study marked a substantial advancement in this field by isolating Chryseobacterium sp. WX1 from an activated sludge enrichment culture, showcasing its unprecedented ability to completely degrade 50 mg/L of DOX within 44 h. Throughout the degradation process, seven biotransformation products were identified, revealing a complex pathway that began with the hydroxylation of DOX, followed by a series of transformations. Employing an integrated multi-omics approach alongside in vitro heterologous expression assays, our study distinctly identified the tetX gene as a critical facilitator of DOX hydroxylation. Proteomic analyses further pinpointed the enzymes postulated to mediate the downstream modifications of DOX hydroxylation derivatives. The elucidated degradation pathway encompassed several key biological processes, such as the microbial transmembrane transport of DOX and its intermediates, the orchestration of enzyme synthesis for transformation, energy metabolism, and other gene-regulated biological directives. This study provides the first insight into the adaptive biotransformation strategies of Chryseobacterium under DOX-induced stress, highlighting the potential applications of this strain to augment DOX removal in wastewater treatment systems containing high concentrations of DOX.

[Effect of Water Components on Aggregation and Sedimentation of Polystyrene Nanoplastics].

The aggregation and sedimentation of micro/nano-plastics significantly affect their migration and distribution in the environment. This study investigated the effects of Na+ and natural organic matter （NOM） on the aggregation and sedimentation of polystyrene nano-plastics （PS-NPs） in the aqueous phase. Six types of water， such as seawater， lake water， and domestic sewage， were used to evaluate the above effects and other potential influencing factors. The results indicated that Na+ could facilitate the sedimentation of PS-NPs when it was less than 80 mmol·L-1， whereas it could promote the aggregation and suspension of PS-NPs when the concentration was greater than 80 mmol·L-1. NOM molecules affected the aggregation and sedimentation of PS-NPs by changing the ζ potential and relative density of particles via forming a multilayer adsorption structure with Na+ on the particle surface. It was observed that NOM greater than 10 mg·L-1 enhanced the dispersion and suspension of PS-NPs， which might have been attributed to the decrease in relative density of the particles as a large amount of NOM was absorbed onto the surface. Compared with synthetic waters， environmental waters enhanced the aggregation of PS-NPs， which may have been related to the amino acid， protein， and other organic macro-molecules in the water.

Surrounding-aware representation prediction in Birds-Eye-View using transformers.

Birds-Eye-View (BEV) maps provide an accurate representation of sensory cues present in the surroundings, including dynamic and static elements. Generating a semantic representation of BEV maps can be a challenging task since it relies on object detection and image segmentation. Recent studies have developed Convolutional Neural networks (CNNs) to tackle the underlying challenge. However, current CNN-based models encounter a bottleneck in perceiving subtle nuances of information due to their limited capacity, which constrains the efficiency and accuracy of representation prediction, especially for multi-scale and multi-class elements. To address this issue, we propose novel neural networks for BEV semantic representation prediction that are built upon Transformers without convolution layers in a significantly different way from existing pure CNNs and hybrid architectures that merge CNNs and Transformers. Given a sequence of image frames as input, the proposed neural networks can directly output the BEV maps with per-class probabilities in end-to-end forecasting. The core innovations of the current study contain (1) a new pixel generation method powered by Transformers, (2) a novel algorithm for image-to-BEV transformation, and (3) a novel network for image feature extraction using attention mechanisms. We evaluate the proposed Models performance on two challenging benchmarks, the NuScenes dataset and the Argoverse 3D dataset, and compare it with state-of-the-art methods. Results show that the proposed model outperforms CNNs, achieving a relative improvement of 2.4 and 5.2% on the NuScenes and Argoverse 3D datasets, respectively.

An ultrasonographic study of gouty arthritis: Synovitis and its relationship to clinical symptoms: A retrospective analysis.

Background and Aims: Joint pain is the main symptom of acute attacks in patients with gout, which if not managed properly, can develop into chronic gout. The aim of this study was to investigate the correlation between ultrasound (US) features of gouty arthritis (GA) and its clinical manifestations to provide a basis for diagnosing and evaluating the disease. Methods: We retrospectively analyzed 182 sites in 139 patients with GA diagnosed by the Rheumatology and Immunology Department. Degree of pain was evaluated using the visual analog scale (VAS). Patients with GA were divided into active and inactive arthritis groups. Statistical differences between the two groups and the correlation between US features and clinical manifestations of the affected joints in patients with GA were analyzed. Results: The groups had statistical significance in joint effusion, power Doppler ultrasonography (PDS), double contour sign, and bone erosion (p = 0.02, 0.001, 0.04, 0.04, respectively). Correlation analysis in this study showed that joint effusion and PDS were positively correlated with degree of pain (r s = 0.275, 0.269; p < 0.001, <0.001, respectively). Additionally, PDS was positively correlated with synovitis, joint effusion, bone erosion, and aggregates (r s = 0.271, 0.281, 0.222, 0.281; p < 0.001, <0.001, 0.003, <0.001, respectively). Conclusions: Pathological US features, such as joint effusion, synovitis, PDS and bone erosion were more likely to be detected in GA with clinical signs and symptoms. PDS was positively correlated with joint effusion and synovitis, pain was closely related to PDS and joint effusion, which suggested that the clinical symptoms of GA were related to inflammation, reflecting the patient's condition to some extent. Therefore, musculoskeletal US is a useful clinical tool for managing patients with GA and can provide a reliable reference for diagnosing and treating GA.

Intractable hyponatremia secondary to syndrome of inappropriate antidiuresis complicated with empty sella: A case report.

RATIONALE: Hyponatremia is a common electrolyte disorder in elderly critically ill patients, and it may be associated with poor outcomes, higher morbidity, and mortality. Syndrome of inappropriate antidiuresis (SIAD) is one of the main causes of hyponatremia, with an insidious onset that is highly misdiagnosed. Primary empty sella lesions are specific, mostly asymptomatic, and easily overlooked. SIAD combined with empty sella is much rarer in clinic, this article focuses on the diagnosis and management of an elderly patient with intractable hyponatremia secondary to syndrome of inappropriate antidiuresis complicated with empty sella. PATIENT CONCERNS: An 85-year-old male patient with severe pneumonia presented with progressive and intractable hyponatremia. DIAGNOSES: The patient had clinical signs of persistent hyponatremia, low plasma osmolality, elevated urinary sodium excretion, and hyponatremia that worsened with increased intravenous rehydration and was effective with appropriate fluid restriction. The diagnosis of SIAD combined with empty sella was made in combination with the findings of the pituitary and its target gland function. INTERVENTIONS: Numerous screenings were performed to clarify the cause of hyponatremia. His overall condition was poor due to recurrent episodes of hospital-acquired pneumonia. We treated with ventilation support, circulatory support, nutritional support, anti-infection, and continuous correction of electrolyte imbalance. OUTCOMES: His hyponatremia gradually improved through aggressive infection control, appropriate fluid restriction (intake controlled at 1500-2000mL/d), continuous electrolyte correction, supplementation with hypertonic salt solution, and potassium replacement therapy. LESSONS: Electrolyte disorders, especially hyponatremia, are very common in critically ill patients, but the etiology of hyponatremia is challenging to diagnose and treat, and timely attention and proper diagnosis of SIAD and individualized treatment are the significance of this article.

Case report: Targeting the PD-1 receptor and genetic mutations validated in primary histiocytic sarcoma with hemophagocytic lymphohistiocytosis.

Histiocytic sarcoma (HS) is a rare hematological malignancy with limited treatment options, and it is also prone to complications such as hemophagocytic lymphohistiocytosis (HLH) in the later stages of the disease, leading to difficulties in treatment and poor prognosis. It highlights the importance of developing novel therapeutic agents. Herein, we present a case of a 45-year-old male patient who was diagnosed with PD-L1-positive HS with HLH. The patient was admitted to our hospital with recurrent high fever, multiple skin rashes with pruritus throughout the body and enlarged lymph nodes. Subsequently, pathological biopsy of the lymph nodes revealed high expression of CD163, CD68, S100, Lys and CD34 in the tumor cells and no expression of CD1a and CD207, confirming this rare clinical diagnosis. Concerning the low remission rate by conventional treatment in this disease, the patient was administered with sintilimab (an anti-programmed cell death 1 [anti-PD-1] monoclonal antibody) at 200 mg/d combined with a first-line chemotherapy regimen for one cycle. Further exploration of pathological biopsy by using next-generation gene sequencing led to the use of targeted therapy of chidamide. After one cycle of combination therapy (chidamide+sintilimab, abbreviated as CS), the patient achieved a favorable response. The patient showed remarkable improvement in the general symptoms and laboratory examination results (e.g., elevated indicators of inflammation); even the clinical benefits was not persistent, he survived one more month after his cessation of treatment by himself due to economic difficulty. Our case suggests that PD-1 inhibitor coupled with targeted therapy might constitute a potential therapeutic option for primary HS with HLH.

Exploring the Mechanism of Curcumin on Retinoblastoma Based on Network Pharmacology and Molecular Docking.

Background: Curcumin shows great effects of inhibiting tumor cell proliferation, inducing apoptosis, inhibiting tumor metastasis, and inhibiting angiogenesis on a variety of tumors. However, the biological activity and possible mechanisms of curcumin in the treatment of retinoblastoma have not been fully elucidated. This study explored the potential therapeutic targets and pharmacological mechanisms of curcumin against retinoblastoma based on network pharmacology and molecular docking. Methods: The genes corresponding to curcumin targets were screened from the HERB, PharmMapper, and SwissTargetPrediction databases. Protein-protein interaction (PPI) networks were constructed for the intersecting targets in the STRING database. Cytoscape 3.7.0 was used for network topology analysis and screening of important targets. R 4.1.0 software was used for Gene Ontology (GO) function enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of intersection targets. The molecular structures of curcumin and core target proteins were obtained from PubChem and PDB databases, and the two were preprocessed and molecularly docked using AutoDockTools and PyMOL software. Results: Through network data mining, we obtained 504 curcumin targets and 966 retinoblastoma disease targets, and 44 potential targets for curcumin treatment of retinoblastoma were obtained by mapping. Three core targets were obtained from network topology analysis. 462 biological processes, 21 cellular compositions, and 34 molecular functions were obtained by GO enrichment analysis. KEGG pathway analysis revealed 94 signaling pathways, mainly involving chemical carcinogenesis-receptor activation, chemical carcinogenesis-reactive oxygen species, viral carcinogenesis, Th17 cell differentiation, etc. The molecular docking results indicated that the binding energy of curcumin to the core targets was less than 0 kJ mol-1, among which the binding energy of RB1 and CDKN2A to curcumin was less than -5 kJ mol-1 with significant binding activity. Conclusion: Based on molecular docking technology and network pharmacology, we initially revealed that curcumin exerts its therapeutic effects on retinoblastoma with multitarget, multipathway, and multibiological functions, providing a theoretical basis for subsequent studies.

Shifts in structure and function of bacterial community in river and fish pond sediments after a phenol spill.

Phenol is widely used in industrial processes and has microbial toxicity. However, the effects of a phenol spill on the microbial community are not clear. The present study explored the changes of bacterial communities in river and fish pond sediments after a phenol spill. The bacterial richness and diversity in river sediments were lower on day 30 (36 days after the spill) than on day 0, while they increased in fish pond sediments. The structures and functions of bacterial communities in both river and fish pond sediments were changed, and a more dramatical variation was detected in fish pond sediments. In river sediments, Proteobacteria, Chloroflexi, Acidobacteria, Bacteroidetes, and Nitrospirae were the major bacterial phyla, and Chloroflexi was enriched. In fish pond sediments, genera Brevibacillus dominated bacterial communities initially, and bacterial composition showed a dramatic change on day 30. Most predicted metabolism functions, as well as genetic information processing functions of translation, replication, and repair, were enhanced in both river and fish pond sediments, while they showed an opposite change trend for xenobiotic degradation function. This work could strengthen our understanding of the effects of phenol spills on sediment bacterial communities in both lotic and lentic ecosystems.

The feasibility and efficacy of a community-based multifactorial intervention to improve the cardiovascular risk factor control among patients with type 2 diabetes: A 2-year cluster randomized trial.

TRIAL DESIGN: Our study is to investigate the feasibility and effectiveness of multiple cardiovascular factors intervention (MFI) in type 2 diabetes patients in China's primary care setting. METHODS: We performed a cluster randomized trial to compare the proportion of patients achieved the targets between usual care group (control, 9 sites, n = 868) and MFI group (8 sites, n = 739) among patients with type 2 diabetes in primary care setting. Logistic regression model with random effects was used to estimate the association of the effect of intervention and the proportion achieved the targets. RESULTS: At baseline, the end of 1 year, and 2 years follow-up, the proportion of patients achieved all 3 target goals (HbA1c < 7.0%, blood pressure < 130/80 mm Hg and low-density lipoprotein cholesterol < 2.6 mmol/L) were 5.7%, 5.9%, 5.7% in the control group and 5.9%, 10.6%, 12.3% in the MFI group. After adjusting sex, age, diabetes duration, body mass index, HbA1c, blood pressure, and low-density lipoprotein cholesterol at baseline, there was no difference between the 2 groups (OR (95% CI): 1.27 (0.38-4.27) and 1.86 (0.79-4.38) for the first year and second year, respectively). When stratified by payment method, the patients with medical insurance or public expenses had a higher proportion achieved target goals (6.9% vs 16.4%, OR (95% CI): 2.30 (1.04-5.08)) in the second year. CONCLUSIONS: The controlling of cardiovascular risk factor targets remains suboptimal among patients with type 2 diabetes in primary care setting. MFI in type 2 diabetes improved cardiovascular disease risk profile, especially in the patients with medical insurance.

Exploring 3D Human Action Recognition Using STACOG on Multi-View Depth Motion Maps Sequences.

This paper proposes an action recognition framework for depth map sequences using the 3D Space-Time Auto-Correlation of Gradients (STACOG) algorithm. First, each depth map sequence is split into two sets of sub-sequences of two different frame lengths individually. Second, a number of Depth Motion Maps (DMMs) sequences from every set are generated and are fed into STACOG to find an auto-correlation feature vector. For two distinct sets of sub-sequences, two auto-correlation feature vectors are obtained and applied gradually to L2-regularized Collaborative Representation Classifier (L2-CRC) for computing a pair of sets of residual values. Next, the Logarithmic Opinion Pool (LOGP) rule is used to combine the two different outcomes of L2-CRC and to allocate an action label of the depth map sequence. Finally, our proposed framework is evaluated on three benchmark datasets named MSR-action 3D dataset, DHA dataset, and UTD-MHAD dataset. We compare the experimental results of our proposed framework with state-of-the-art approaches to prove the effectiveness of the proposed framework. The computational efficiency of the framework is also analyzed for all the datasets to check whether it is suitable for real-time operation or not.

Effects of F-, Cl-, Br-, NO3-, and SO42- on the colloidal stability of Fe3O4 nanoparticles in the aqueous phase.

The effect of ions on the colloidal behavior of magnetic nanoparticles (MNPs) is an important factor for determining the dispersibility of MNPs. Compared with the effects of cations and organic matter, the effect of anions on MNPs has rarely been studied. Hence, in this study, the effect of anions on the aggregation of Fe3O4 MNPs in the aqueous phase was investigated using F-, Cl-, Br-, NO3-, and SO42-. The results indicated that the effect of anions on the colloidal behavior of the MNPs varied widely depending on their valence state, concentration, hydration ability, solution pH, and the magnetic force between the MNPs. Specifically, at pH 5.0, the anions were mainly adsorbed on the particle surface by electrostatic attraction, decreasing the electrostatic repulsion between the MNPs and causing an aggregation of the particles in the order of SO42- > F- > Br- > Cl- ≈ NO3-. At pH 9.0, anions strengthened the suspension of the MNPs at low ionic strength (IS) (≤5); however, with increasing IS, an aggregation of the MNPs in the following order was formed: NO3- > Cl- > Br- ≥ F- > SO42-. This was a result of the combined effects of the IS of solution, hydrability, and polarizability of the anions. Furthermore, the Derjaguin-Landau-Vervey-Overbeek (DLVO) theory can explain the colloidal behavior of MNPs in the presence of magnetic forces, but it fails to differentiate the MNP behaviors between monovalent anions because the effects of ionic hydrability and polarizability are not considered. Distinctively, the secondary minimum between the MNPs particles were induced via magnetic attraction and played a critical role in adjusting the colloidal stability of the MNPs. Overall, these results indicate that specific ionic effects and magnetic attraction are important for interpreting the colloidal stability of MNPs in aqueous conditions.

Lymphopenia predicted illness severity and recovery in patients with COVID-19: A single-center, retrospective study.

The outbreak of SARS-CoV-2 began in December 2019 and rapidly became a pandemic. The present study investigated the significance of lymphopenia on disease severity. A total of 115 patients with confirmed COVID-19 from a tertiary hospital in Changsha, China, were enrolled. Clinical, laboratory, treatment and outcome data were gathered and compared between patients with and without lymphopenia. The median age was 42 years (1-75). Fifty-four patients (47.0%) of the 115 patients had lymphopenia on admission. More patients in the lymphopenia group had hypertension (30.8% vs. 10.0%, P = 0.006) and coronary heart disease (3.6% vs. 0%, P = 0.029) than in the nonlymphopenia group, and more patients with leukopenia (48.1% vs 14.8%, P<0.001) and eosinopenia (92.6% vs 54.1%, P<0.001) were observed. Lymphopenia was also correlated with severity grades of pneumonia (P<0.001) and C-reactive protein (CRP) level (P = 0.0014). Lymphopenia was associated with a prolonged duration of hospitalization (17.0 days vs. 14.0 days, P = 0.002). Lymphocyte recovery appeared the earliest, prior to CRP and chest radiographs, in severe cases, which suggests its predictive value for disease improvement. Our results demonstrated the clinical significance of lymphopenia for predicting the severity of and recovery from COVID-19, which emphasizes the need to dynamically monitor lymphocyte count.

Knockdown of Mg2+/Mn2+ dependent protein phosphatase 1A promotes apoptosis in BV2 cells infected with Brucella suis strain 2 vaccine.

The ability to inhibit host macrophage apoptosis is one of the survival strategies of intracellular bacteria, including Brucella. In the present study the role of Mg2+/Mn2+ dependent protein phosphatase 1A (PPM1A) in the apoptosis of Brucella suis (B. suis) strain 2 vaccine-infected BV2 cells was investigated. Compared with control cells, the protein expression levels of cleaved caspase-3 were markedly increased in PPM1A short hairpin (sh)RNA-transfected BV2 cells. Flow cytometry analysis showed that treatment with JNK activator anisomycin significantly increased the rate of apoptosis in BV2 cells in comparison with the control cells. Furthermore, PPM1A shRNA significantly increased the levels of JNK phosphorylation and the levels of cleaved caspase-3 in BV2 cells infected with B. suis strain 2 in comparison with the control cells. DAPI staining showed nuclear condensation in B. suis infected BV2 cells transfected with PPM1A shRNA in comparison with the control shRNA cells. Flow cytometry analysis showed that PPM1A shRNA significantly increased the percentage of apoptotic BV2 cells infected with B. suis strain 2 compared with those transfected with control shRNA. Taken together, these data suggested that knockdown of PPM1A promotes apoptosis in B. suis strain 2-infected BV2 cells and that PPM1A may be a potential target in the development of treatments to inhibit intracellular growth of B. suis.

Veratramine suppresses human HepG2 liver cancer cell growth in vitro and in vivo by inducing autophagic cell death.

Liver cancer is the second leading cause of cancer­related deaths. Traditional therapeutic strategies, such as chemotherapy, targeted therapy and interventional therapy, are inefficient and are accompanied by severe side effects for patients with advanced liver cancer. Therefore, it is crucial to develop a safer more effective drug to treat liver cancer. Veratramine, a known natural steroidal alkaloid derived from plants of the lily family, exerts anticancer activity in vitro. However, the underlying mechanism and whether it has an antitumor effect in vivo remain unknown. In the present study, the data revealed that veratramine significantly inhibited HepG2 cell proliferation, migration and invasion in vitro. Moreover, it was revealed that veratramine induced autophagy­mediated apoptosis by inhibiting the PI3K/Akt/mTOR signaling pathway, which partly explained the underlying mechanism behind its antitumor activity. Notably, the results of in vivo experiments also revealed that veratramine treatment (2 mg/kg, 3 times a week for 4 weeks) significantly inhibited subcutaneous tumor growth of liver cancer cells, with a low systemic toxicity. Collectively, the results of the present study indicated that veratramine efficiently suppressed liver cancer HepG2 cell growth in vitro and in vivo by blocking the PI3K/Akt/mTOR signaling pathway to induce autophagic cell death. Veratramine could be a potential therapeutic agent for the treatment of liver cancer.

BrCl+ elimination from Coulomb explosion of 1,2-bromochloroethane induced by intense femtosecond laser fields.

By using a dc-slice imaging technique, photodissociation of 1,2-C2H4BrCl was investigated at 800 nm looking for heteronuclear unimolecular ion elimination of BrCl+ in an 80 fs laser field. The occurrence of fragment ion BrCl+ in the mass spectrum verified the existence of a unimolecular decomposition channel of BrCl+ in this experiment. The relative quantum yield of the BrCl+ channel was measured to be 0.8%. By processing and analyzing the velocity and angular distributions obtained from the corresponding sliced images of BrCl+ and its partner ion C2H4 +, we concluded that BrCl+ came from Coulomb explosion of the 1,2-bromochloroethane dication 1,2-C2H4BrCl2+. With the aid of quantum chemical calculations at the M06-2X/def2-TZVP level, the potential energy surface for BrCl+ detachment from 1,2-C2H4BrCl2+ has been examined in detail. According to the ab initio calculations, two transition state structures tended to correlate with the reactant 1,2-C2H4BrCl2+ and the products BrCl+ + C2H4 +. In this entire dissociation process, the C-Br and C-Cl bond lengths were observed to elongate asymmetrically, that is, the C-Br chemical bond broke firstly, and subsequently a new Br-Cl chemical bond started to emerge while the C-Cl bond continued to exist for a while. Hence, an asynchronous concerted elimination mechanism was favored for BrCl+ detachment.

Targeting the MYC Oncogene in Burkitt Lymphoma through HSP90 Inhibition.

Overexpression of the MYC oncogene is a key feature of many human malignancies including Burkitt lymphoma. While MYC is widely regarded to be a promising therapeutic target, a clinically effective MYC inhibitor is still elusive. Here, we report an alternative strategy, targeting MYC indirectly through inhibition of the HSP90 machinery. We found that inhibition of HSP90 function reduces MYC expression in human Burkitt lymphoma through suppression of MYC transcription and destabilization of MYC protein, thereby diminishing the proliferation of tumor cells. Consistently, treatment of Burkitt lymphoma cell lines with HSP90 inhibitors (17-AAG or 17-DMAG) was accompanied by downregulation of canonical MYC target genes. Combination treatment with 17-DMAG and the proteasome inhibitor, MG-132, led to accumulation of MYC protein, indicating that upon HSP90 inhibition, MYC is degraded by the proteasome. Using co-immunoprecipitation, we furthermore demonstrated a direct interaction between MYC and HSP90, indicating that MYC is an HSP90 client protein in Burkitt lymphoma. Together, we report here the use of HSP90 inhibitors as an alternative approach to target the MYC oncogene and its network in Burkitt lymphoma.

Pharmacokinetics of a novel triazine ethanamizuril in rats and broiler chickens.

Ethanamizuril is a new triazine compound that displays potent anticoccidial activity against chicken coccidiosis caused by Eimeria tenella. We studied the pharmacokinetics of ethanamizuril in rats and chickens after single oral doses of one, two and three times the minimum effective dose Ethanamizuril was readily absorbed at all three doses and the plasma concentration reached was maximal within 5h and progressively declined over time. The mean peak plasma concentrations (Cmax) and the area under the concentration-time curve (AUC) were both dose-dependent. These results provide pharmacokinetic profiles of ethanamizuril for future preclinical studies and clinical use.

DNMT3B overexpression contributes to aberrant DNA methylation and MYC-driven tumor maintenance in T-ALL and Burkitt's lymphoma.

Aberrant DNA methylation is a hallmark of cancer. However, our understanding of how tumor cell-specific DNA methylation patterns are established and maintained is limited. Here, we report that in T-cell acute lymphoblastic leukemia (T-ALL) and Burkitt's lymphoma the MYC oncogene causes overexpression of DNA methyltransferase (DNMT) 1 and 3B, which contributes to tumor maintenance. By utilizing a tetracycline-regulated MYC transgene in a mouse T-ALL (EµSRα-tTA;tet-o-MYC) and human Burkitt's lymphoma (P493-6) model, we demonstrated that DNMT1 and DNMT3B expression depend on high MYC levels, and that their transcription decreased upon MYC-inactivation. Chromatin immunoprecipitation indicated that MYC binds to the DNMT1 and DNMT3B promoters, implicating a direct transcriptional regulation. Hence, shRNA-mediated knock-down of endogenous MYC in human T-ALL and Burkitt's lymphoma cell lines downregulated DNMT3B expression. Knock-down and pharmacologic inhibition of DNMT3B in T-ALL reduced cell proliferation associated with genome-wide changes in DNA methylation, indicating a tumor promoter function during tumor maintenance. We provide novel evidence that MYC directly deregulates the expression of both de novo and maintenance DNMTs, showing that MYC controls DNA methylation in a genome-wide fashion. Our finding that a coordinated interplay between the components of the DNA methylating machinery contributes to MYC-driven tumor maintenance highlights the potential of specific DNMTs for targeted therapies.

Synthesis, In-Vitro Activity and Metabolic Properties of Quinocetone and Structurally Similar Compounds.

To investigate the cytotoxicity mechanism of quinocetone from the perspective of chemical structure, quinocetone and other new quinoxaline-1, 4-dioxide derivatives were synthesized, and evaluated for their activities, and analysed for the metabolic characteristics. Quinocetone and other new quinoxaline-1,4-dioxide derivatives were synthesized, and evaluated for their activities, and analysed for the metabolic characteristics. The synthetic route started from 2-nitroaniline which was reacted with 3-bromopropanoic acid followed by the reaction of acetylacetone to afford 2-acetyl-3-methylquinoxaline-1, 4-dioxide. The aldol condensation of the later compound with aromatic aldehydes led to the formation of the quinocetone structure similar compounds. A number of prepared derivatives exerted antimicrobial activities and cytotoxicity potency. Analysis of metabolic pathways in vitro displayed 2-propenyl and N→O groups were the major sites. The results suggested 2-propenyl group exert important role in cytotoxicity of quinocetone and is another major toxiccophore for quinocetone, and different electronic substituents in arylidene aryl ring could affect the electronic arrangement of 2-propenyl and N→O groups to chang the cytostatic potency.