New anti-inflammatory limonoids from the fruits of Melia azedarach

The phytochemical study of the fruits of Melia azedarach (Meliaceae) led to the isolation and characterisation of two novel natural limonoids1-deoxy- 3, 20-dicinnamoyl-11-methoxy-meliacarpinin (1) and 12β- O- methyl nimbolinin A (2), along with twelve known limonoids. Its structure was identified by 1D- and 2D-NMR, HR-ESI-MS and comparison with published data. The anti-inflammatory effect of the compounds was measured in vitro in RAW 264.7 cells by evaluating the production of NO stimulated by LPS. Compounds 1, 8 and 14 indicated significant anti-inflammatory effect with inhibition rate of 11.76, 8.45 and 6.59 μM, respectively. Limonoid 1 significantly inhibited the production of NO, TNF-α and IL-1β in RAW 264.7 cells. Therefore, limonoid derivative may be a promising source of bioactive metabolite for inflammatory diseases.

Measurements of All-Particle Energy Spectrum and Mean Logarithmic Mass of Cosmic Rays from 0.3 to 30 PeV with LHAASO-KM2A

We present the measurements of all-particle energy spectrum and mean logarithmic mass of cosmic rays in the energy range of 0.3-30 PeV using data collected from LHAASO-KM2A between September 2021 and December 2022, which is based on a nearly composition-independent energy reconstruction method, achieving unprecedented accuracy. Our analysis reveals the position of the knee at 3.67±0.05±0.15  PeV. Below the knee, the spectral index is found to be -2.7413±0.0004±0.0050, while above the knee, it is -3.128±0.005±0.027, with the sharpness of the transition measured with a statistical error of 2%. The mean logarithmic mass of cosmic rays is almost heavier than helium in the whole measured energy range. It decreases from 1.7 at 0.3 PeV to 1.3 at 3 PeV, representing a 24% decline following a power law with an index of -0.1200±0.0003±0.0341. This is equivalent to an increase in abundance of light components. Above the knee, the mean logarithmic mass exhibits a power law trend towards heavier components, which is reversal to the behavior observed in the all-particle energy spectrum. Additionally, the knee position and the change in power-law index are approximately the same. These findings suggest that the knee observed in the all-particle spectrum corresponds to the knee of the light component, rather than the medium-heavy components.

The regulatory role and mechanism of mast cells in tumor microenvironment

Mast cells (MCs) have emerged as pivotal contributors to both the defensive immune response and immunomodulation. They also exhibit regulatory functions in modulating pathological processes across various allergic diseases. The impact of MC presence within tumor tissues has garnered considerable attention, yielding conflicting findings. While some studies propose that MCs within tumor tissues promote tumor initiation and progression, others advocate an opposing perspective. Notably, evidence emphasizes the dual role of MCs in cancer, both as promoters and suppressors, is crucial for optimizing cancer treatment strategies. These conflicting viewpoints have generated substantial controversy, underscoring the need for a comprehensive understanding of MC's role in tumor immune responses.

Small-molecule exhibits anti-tumor activity by targeting the RNA m6A reader IGF2BP3 in ovarian cancer

Based on its absence in normal tissues and its role in tumorigenesis and tumor progression, insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3), a reader of N6-methyladenosine (M6A) on RNA, represents a putative valuable and specific target for some cancer therapy. In this study, we performed bioinformatic analysis and immunohistochemistry (IHC) to find that IGF2BP3 was highly expressed in tumor epithelial cells and fibroblasts of ovarian cancer (OC), and was associated with poor prognosis, metastasis, and chemosensitivity in OC patients. In particular, we discovered that knockdown IGF2BP3 expression inhibited the malignant phenotype of OC cell lines by decreasing the protein levels of c-MYC, VEGF, CDK2, CDK6, and STAT1. To explore the feasibility of IGF2BP3 as a therapeutic target for OC, a small molecular AE-848 was designed and screened by molecular operating environment (MOE), which not only could duplicate the above results of knockdown assay but also reduced the expression of c-MYC in M2 macrophages and tumor-associated macrophages and promoted the cytokine IFN-γ and TNF-α secretion. The pharmacodynamic models of two kinds of OC bearing animals were suggested that systemic therapy with AE-848 significantly inhibited tumor growth by reducing the expression of tumor-associated antigen (c-MYC/VEGF/Ki67/CDK2) and improving the anti-tumor effect of macrophages. These results suggest that AE-848 can inhibit the growth and progression of OC cells by disrupting the stability of the targeted mRNAs of IGF2BP3 and may be a targeted drug for OC treatment.

Measurement of Ultra-High-Energy Diffuse Gamma-Ray Emission of the Galactic Plane from 10 TeV to 1 PeV with LHAASO-KM2A

The diffuse Galactic γ-ray emission, mainly produced via interactions between cosmic rays and the interstellar medium and/or radiation field, is a very important probe of the distribution, propagation, and interaction of cosmic rays in the Milky Way. In this Letter, we report the measurements of diffuse γ rays from the Galactic plane between 10 TeV and 1 PeV energies, with the square kilometer array of the Large High Altitude Air Shower Observatory (LHAASO). Diffuse emissions from the inner (15°10  TeV). The energy spectrum in the inner Galaxy regions can be described by a power-law function with an index of -2.99±0.04, which is different from the curved spectrum as expected from hadronic interactions between locally measured cosmic rays and the line-of-sight integrated gas content. Furthermore, the measured flux is higher by a factor of ∼3 than the prediction. A similar spectrum with an index of -2.99±0.07 is found in the outer Galaxy region, and the absolute flux for 10≲E≲60  TeV is again higher than the prediction for hadronic cosmic ray interactions. The latitude distributions of the diffuse emission are consistent with the gas distribution, while the longitude distributions show clear deviation from the gas distribution. The LHAASO measurements imply that either additional emission sources exist or cosmic ray intensities have spatial variations.

[A case of giant pleural tuberculoma]

We retrospectively analyzed a rare case of giant pleural tuberculoma. The patient was a female, 62 years old, admitted to hospital for intermittent fever and hemoptysis. The CT scan of the chest and abdomen showed a mass in the right thoracic cavity, and the uneven surface of the bilateral fallopian tubes. Routine blood tests showed a decrease in platelets, white blood cells, and hemoglobin. The mass in the chest was finally confirmed as a tuberculoma by biopsy. The patient was diagnosed with tuberculosis more than 9 years ago and had been treated with anti-tuberculosis drugs for more than 9 years, which caused damage to the liver, bone marrow and other organs, and led to the drug-resistant tuberculosis, making diagnosis and treatment more complex.

[The value of nomogram for predicting microvascular invasion based on clinical and Gd-EOB-DTPA-enhanced magnetic resonance imaging features]

Objective: To investigate the risk factors of microvascular invasion (MVI) in China liver cancer staging system stage Ⅰa (CNLC Ⅰa) hepatocellular carcinoma (HCC), and develop a nomogram for predicting MVI based on clinical and radiographic data. Methods: This retrospective study focused on CNLC Ⅰa HCC patients who underwent radical resection at the Cancer Hospital, Chinese Academy of Medical Sciences from January 2016 to December 2020. Patients' clinical characteristics and laboratory test results and pre-surgery gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging results were collected. The clinical and radiographic risk factors for MVI were identified by univariate and multivariate logistic regression analyses and used for the construction of the predictive nomogram. The nomogram model was then internally validated, and its performance was assessed. Results: A total of 104 patients were divided into the MVI-positive group (n=28) and the MVI-negative group (n=76). Multivariate logistic regression analysis at the P<0.1 level identified serum alpha-ferroprotein >7 ng/ml, total bilirubin >21 μmol/L, prothrombin time >12.5 s, non-smooth margin, and incomplete or absent capsule as risk factors of MVI, based on which a nomogram model was built. The model achieved an area under the curve (AUC) value of 0.867 (95% confidence interval, 0.791-0.944) in the internal validation. The sensitivity and specificity of the nomogram model were 0.786 and 0.829, respectively, with the prediction curve nearly overlapping the ideal curve. Based on the Hosmer-Lemeshow test, the predicted and real results were not significantly different (P=0.956). Conclusions: The probability of MVI of CNLC Ⅰa HCC can be objectively predicted by the monogram model that quantifies the clinical and radiographic risk factors. The model can also help clinicians select individualized surgical plans to improve the long-term prognosis of patients.

A tera-electron volt afterglow from a narrow jet in an extremely bright gamma-ray burst

Some gamma-ray bursts (GRBs) have a tera-electron volt (TeV) afterglow, but the early onset of this has not been observed. We report observations with the Large High Altitude Air Shower Observatory of the bright GRB 221009A, which serendipitously occurred within the instrument field of view. More than 64,000 photons >0.2 TeV were detected within the first 3000 seconds. The TeV flux began several minutes after the GRB trigger, then rose to a peak about 10 seconds later. This was followed by a decay phase, which became more rapid ~650 seconds after the peak. We interpret the emission using a model of a relativistic jet with half-opening angle ~0.8°. This is consistent with the core of a structured jet and could explain the high isotropic energy of this GRB.

Constraints on Heavy Decaying Dark Matter from 570 Days of LHAASO Observations

The kilometer square array (KM2A) of the large high altitude air shower observatory (LHAASO) aims at surveying the northern γ-ray sky at energies above 10 TeV with unprecedented sensitivity. γ-ray observations have long been one of the most powerful tools for dark matter searches, as, e.g., high-energy γ rays could be produced by the decays of heavy dark matter particles. In this Letter, we present the first dark matter analysis with LHAASO-KM2A, using the first 340 days of data from 1/2-KM2A and 230 days of data from 3/4-KM2A. Several regions of interest are used to search for a signal and account for the residual cosmic-ray background after γ/hadron separation. We find no excess of dark matter signals, and thus place some of the strongest γ-ray constraints on the lifetime of heavy dark matter particles with mass between 10^{5} and 10^{9}  GeV. Our results with LHAASO are robust, and have important implications for dark matter interpretations of the diffuse astrophysical high-energy neutrino emission.

[Associations between gene polymorphisms of signal transducer and activator of transcription 3 and the susceptibility to hepatitis B virus related liver cirrhosis]

To investigate the associations between gene polymorphisms of signal transducer and activator of transcription 3 (STAT3) and liver cirrhosis (LC) after hepatitis B virus (HBV) infection. A case-control study was conducted in 243 patients with hepatitis B cirrhosis (HBV-LC, case group) and 486 HBV-infected subjects without LC (non-LC, control group) collected from January 2018 to September 2020 at the Changsha Central Hospital Affiliated to Nanhua University. Three single nucleotide polymorphisms (SNPs) of STAT3 gene, including rs4796793C>G, rs2293152C>G, and rs1053004T>C were selected through literature and biological information database, and the genotypes were detected by real-time fluorescent quantitative PCR (RFQ-PCR). The distribution differences of STAT3 SNPs genotypes between the two groups were compared using Chi-square test and haplotype analysis was conducted by Shesis online. The proportion of HBV C genotype in HBV-LC patients was significantly higher than that in the control group (80.91% vs. 70.79%, χ²=7.109, P=0.008), while the logarithm of ALT was significantly lower than that of the control group (1.78±0.43 vs. 1.95±0.54, t=3.801, P=0.000). The genotypes distributions of rs4796793, rs2293152, and rs1053004 were not significantly different between HBV-LC and non-LC in overall analysis and stratified analysis by gender (χ²=2.610, 1.505, 0.586, 2.653, 2.685, 1.583, 0.351, 5.388, 0.339, respectively, P>0.05 for each). Among the subjects infected with HBV genotype C, rs1053004 CC (vs. TT) significantly increased the risk of HBV-LC [odds ratio (OR) = 1.40, 95% confidence interval (CI): 1.03-1.91]. Among the HBV-infected subjects with HBeAg negative, rs4796793 GG genotype (vs. CC) and G allele (vs. C) significantly increased the risks of HBV-LC (OR = 2.17, 95%CI: 1.11-4.23; OR = 1.45, 95%CI: 1.06-1.97, respectively). Haplotypes analysis showed that the frequency of haplotype C-G-T composed of rs4796793, rs2293152, and rs1053004 was significantly lower in HBV-LC than that in the control group (non-LC) (27.3% vs. 35.6%, χ²=9.949, P = 0.001). The correlation between STAT3 and HBV-LC is different in HBV-infected subjects with different infection status. The HBV-infected subjects carrying haplotype rs4796793C-rs2293152G-rs1053004T of STAT3 gene have significantly decreased risk of LC.

Exploring Lorentz Invariance Violation from Ultrahigh-Energy γ Rays Observed by LHAASO

Recently, the LHAASO Collaboration published the detection of 12 ultrahigh-energy γ-ray sources above 100 TeV, with the highest energy photon reaching 1.4 PeV. The first detection of PeV γ rays from astrophysical sources may provide a very sensitive probe of the effect of the Lorentz invariance violation (LIV), which results in decay of high-energy γ rays in the superluminal scenario and hence a sharp cutoff of the energy spectrum. Two highest energy sources are studied in this work. No signature of the existence of the LIV is found in their energy spectra, and the lower limits on the LIV energy scale are derived. Our results show that the first-order LIV energy scale should be higher than about 10^{5} times the Planck scale M_{Pl} and that the second-order LIV scale is >10^{-3}M_{Pl}. Both limits improve by at least one order of magnitude the previous results.

[Correlation study between changes in intestinal microflora structure and immune indexes in newly treated patients with pulmonary tuberculosis]

To explore the correlation between the changes of the intestinal flora of newly treated pulmonary tuberculosis patients and the immune indicators of the body, and to provide a reference for the prevention and treatment of pulmonary tuberculosis. A single-center and case-control study was adopted. From October 2020 to April 2021, 43 patients with newly diagnosed tuberculosis in the Department of Tuberculosis, Affiliated Changsha Central Hospital,University of South China were selected as the control group. 43 cases of newly treated pulmonary tuberculosis (PTB), 43 healthy control (HC) during the same period, collected fresh feces and whole blood of subjects, and used Illumina Hiseq high-throughput sequencing technology to analyze 16S of all microorganisms in feces The V4 region of rRNA was amplified and sequenced, and the structure of the intestinal flora was analyzed by QIIME software. Use flow cytometry to determine the subject's immune indicators (CD3⁺, CD4⁺, CD8⁺, CD4⁺CD25⁺CD127^-Treg, CD14⁺CD16⁺, CD14⁺CD16^-), and analyze the changes in intestinal flora and immune function in newly treated pulmonary tuberculosis patients Inherent connection. The χ² test, t test, and Wilcox rank sum test were used to analyze the differences in age, gender, α diversity, and relative abundance of the two groups of people. Compared with the HC group, the alpha diversity of the intestinal flora in the PTB group decreased (shannon index: t=3.906, P=0.000 2; simpson index: Z=553, P=0.004 7; chao1 index: t=5.395, P=0.000 0). β diversity analysis showed that there were significant differences in the structure of the intestinal flora between the two groups (P=0.000). Species difference analysis showed that at the phylum level, the relative abundance of Firmicutes in the PTB group was significantly lower than that in the HC group (Z=486.0, P=0.000 5). At the genus level, there are 15 different bacterial genera between the two groups. In the PTB group, bifidobacterium, enterococcus, lactobacillus, anaerostipes, the relative abundance of the above 5 genera of veillonella is higher than that of the HC group (P<0.05); Butyricimonas, clostridium, and broutella (blautia), coprococcus, dorea, lachnospira, roseburia, faecalibacterium, ruminococcus, the relative abundance of 10 bacterial genera including dialister was lower than that of the HC group (P<0.05). Comparison of immune indexes between groups showed that CD14⁺CD16⁺monocytes (%) in the PTB group were higher than those in the HC group (t=2.456, P=0.001 6<0.05), while CD14⁺CD16^-monocytes (%) were lower than HC (t=-4.368, P=0.000<0.05), while the differences in CD3⁺, CD4⁺, CD8⁺, CD4⁺/CD8⁺and Treg (CD4⁺CD25⁺CD127^-) were not statistically significant (P>0.05). Spearman correlation analysis showed that Firmicutes in the PTB group was negatively correlated with CD4⁺/CD8⁺, CD14⁺CD16⁺(r=-0.218, P=0.048; r=-0.245, P=0.025), and positively correlated with CD14⁺CD16^-Correlation (r=0.250, P=0.022); At the genus level, Faecalis is positively correlated with CD4⁺/CD8⁺and CD4⁺(r=0.250, P=0.023; r=0.258, P=0.019); Rosella and CD3⁺, CD8⁺and CD14⁺CD16^-are positively correlated (r=0.27, P=0.024; r=0.219, P=0.046; r=0.027, P=0.039), and negatively correlated with CD14⁺CD16⁺(r=-0.280, P= 0.01). Changes in the structure of the intestinal flora of newly treated pulmonary tuberculosis patients may be one of the influencing factors of the immune function of the body. Targeted optimization of the structure of the intestinal flora and improvement of the body's immunity may be used as an effective auxiliary treatment for pulmonary tuberculosis.

[Efficacy and safety of paclitaxel liposomes compared to paclitaxel combined with platinum in concurrent chemoradiotherapy for unresectable cervical carcinoma: a Meta-analysis]

Objective: To explore the efficacy and safety of paclitaxel liposomes compared to paclitaxel with platinum in concurrent chemoradiotherapy for unresectable cervical carcinoma. Methods: SinoMed, CNKI, WanFang MED ONLINE, VIP, PubMed, MEDLINE, Cochrane Library, Embase and ClinicalTrials.gov were searched to collect the papers or clinical studies of paclitaxel liposomes and paclitaxel combined with platinum in concurrent chemoradiotherapy for unresectable cervical carcinoma from the inception to January 15th 2021 in Chinese and English. Two independent reviewers screened the literatures, extracted the data and assessed the bias of the included studies. Meta-analysis was performed using RevMan 5.4 and R software. Results: Totally 9 papers involving 666 patients with unresectable cervical carcinoma were included. The results of meta-analysis indicated that compared to paclitaxel combined with platinum in concurrent chemoradiotherapy for unresectable cervical carcinoma, paclitaxel liposomes combined with platinum exhibited superiority in near-term efficacy (complete response + partial response) [81.4%(272/334) vs 68.7%(228/332), RR=1.19; 95% CI: 1.09, 1.29, P=0.000 1]; substantially decreased the incidence rates of blood system disorders [myelosuppressio, 50.3%(168/334)vs 65.1%(216/332)], gastrointestinal disorders [34.4%(115/334) vs 55.1%(183/332)], alopecia [42.2%(94/223)vs 63.3%(140/221)], allergic reaction [11.6% (23/198)vs 27.6%(54/196), P≤0.000 1], peripheral neuritis [43.0%(52/121) vs 54.9%(67/122)], or joint and muscle pain [20.3%(16/79) vs 34.6%(28/81), P<0.050 0]. Conclusion: Compared to paclitaxel combined with platinum in concurrent chemoradiotherapy for unresectable cervical carcinoma, paclitaxel liposomes is superior in near-term efficacy, and exhibits better safety.

Peta-electron volt gamma-ray emission from the Crab Nebula

The Crab Nebula is a bright source of gamma rays powered by the Crab Pulsar's rotational energy through the formation and termination of a relativistic electron-positron wind. We report the detection of gamma rays from this source with energies from 5 × 10^-4 to 1.1 peta-electron volts with a spectrum showing gradual steepening over three energy decades. The ultrahigh-energy photons imply the presence of a peta-electron volt electron accelerator (a pevatron) in the nebula, with an acceleration rate exceeding 15% of the theoretical limit. We constrain the pevatron's size between 0.025 and 0.1 parsecs and the magnetic field to ≈110 microgauss. The production rate of peta-electron volt electrons, 2.5 × 10³⁶ ergs per second, constitutes 0.5% of the pulsar spin-down luminosity, although we cannot exclude a contribution of peta-electron volt protons to the production of the highest-energy gamma rays.

Extended Very-High-Energy Gamma-Ray Emission Surrounding PSR J0622+3749 Observed by LHAASO-KM2A

We report the discovery of an extended very-high-energy (VHE) gamma-ray source around the location of the middle-aged (207.8 kyr) pulsar PSR J0622+3749 with the Large High-Altitude Air Shower Observatory (LHAASO). The source is detected with a significance of 8.2σ for E>25  TeV assuming a Gaussian template. The best-fit location is (right ascension, declination) =(95.47°±0.11°,37.92°±0.09°), and the extension is 0.40°±0.07°. The energy spectrum can be described by a power-law spectrum with an index of -2.92±0.17_{stat}±0.02_{sys}. No clear extended multiwavelength counterpart of the LHAASO source has been found from the radio to sub-TeV bands. The LHAASO observations are consistent with the scenario that VHE electrons escaped from the pulsar, diffused in the interstellar medium, and scattered the interstellar radiation field. If interpreted as the pulsar halo scenario, the diffusion coefficient, inferred for electrons with median energies of ∼160  TeV, is consistent with those obtained from the extended halos around Geminga and Monogem and much smaller than that derived from cosmic ray secondaries. The LHAASO discovery of this source thus likely enriches the class of so-called pulsar halos and confirms that high-energy particles generally diffuse very slowly in the disturbed medium around pulsars.

Ultrahigh-energy photons up to 1.4 petaelectronvolts from 12 γ-ray Galactic sources

The extension of the cosmic-ray spectrum beyond 1 petaelectronvolt (PeV; 10¹⁵ electronvolts) indicates the existence of the so-called PeVatrons-cosmic-ray factories that accelerate particles to PeV energies. We need to locate and identify such objects to find the origin of Galactic cosmic rays¹. The principal signature of both electron and proton PeVatrons is ultrahigh-energy (exceeding 100 TeV) γ radiation. Evidence of the presence of a proton PeVatron has been found in the Galactic Centre, according to the detection of a hard-spectrum radiation extending to 0.04 PeV (ref. ²). Although γ-rays with energies slightly higher than 0.1 PeV have been reported from a few objects in the Galactic plane^3-6, unbiased identification and in-depth exploration of PeVatrons requires detection of γ-rays with energies well above 0.1 PeV. Here we report the detection of more than 530 photons at energies above 100 teraelectronvolts and up to 1.4 PeV from 12 ultrahigh-energy γ-ray sources with a statistical significance greater than seven standard deviations. Despite having several potential counterparts in their proximity, including pulsar wind nebulae, supernova remnants and star-forming regions, the PeVatrons responsible for the ultrahigh-energy γ-rays have not yet been firmly localized and identified (except for the Crab Nebula), leaving open the origin of these extreme accelerators.

The in vitro and in vivo anti-inflammatory activities of triterpene saponins from Clematis florida

Clematis florida is widely used in She Ethnopharmacy in China owing to its significant anti-inflammatory activities. This study aimed to investigate the anti-inflammatory effect of the active fraction of C. florida (CFAF) in an arthritis animal model and its possible mechanism. Pre-inflammatory cytokine levels were examined by ELISA. CFAF can significantly improve the symptoms of arthritis such as paw swelling, arthritic index, and histological condition in AA rat. CFAF can also reduce levels of IL-1β, TNF-α and IL-6. Further studies showed that triterpene saponins from CFAF induced anti-inflammatory activity inhibited inflammatory mediators by blocking JAK/STAT signalling pathways in the LPS-treated macrophages.

[Value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid enhanced magnetic resonance imaging and diffusion-weighted MR imaging in predicting microvascular invasion in hepatocellular carcinoma and the prognostic significance]

Objective: To investigate the combined value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) in predicting pathological microvascular invasion (pMVI) preoperatively, and to determine the relationship between prediction results and prognosis in hepatocellular carcinoma (HCC) patients. Methods: A total of 181 newly diagnosed HCC patients were enrolled in this study. Imaging characteristics and the apparent diffusion coefficient (ADC) value of DWI were analyzed. The differences of imaging characteristics and ADC values between different pMVI groups were analyzed.Multivariate logistic regression and receiver operating characteristic (ROC) curve were used to analyze the value for pMVI prediction by using significant parameters. The patients were grouped based on MRI predicted MVI (mrMVI), and the relationship between mrMVI and recurrence free survival time (RFS) was analyzed. Results: Fifty-one patients were pMVI positive and 130 patients were pMVI negative. The ADC value in pMVI positive group were (1.10±0.17)×10(-3) mm(2)/s, significantly lower than (1.27±0.22)×10(-3) mm(2)/s of pEMVI negative group (P<0.001). The incidence rates of incomplete enhancing "capsule" , non-smooth tumor margin, arterial peritumoral enhancement, mosaic architecture and peritumoral hypointensity on hepatobiliary phase (HBP) in pMVI positive group were significantly higher than those of negative group (all P<0.05). Multivariate logistic regression analysis showed that tumor margin, arterial peritumoral enhancement, peritumoral hypointensity on HBP and ADC value were independently associated with pMVI. ROC analysis showed that the area under curve, sensitivity and specificity of pMVI predicted by combined parameters were 0.830, 76.5% and 81.5%, respectively. The median RFS of mrMVI positive group was 23.6 months, significantly lower than 38.2 months of mrEMVI negative group (P=0.004). Conclusion: Tumor margin, arterial peritumoral enhancement, peritumoral hypointensity on HBP and ADC value are independent predictors of pMVI in HCC, and mrMVI is related with RFS.

A new cyclopeptide alkaloid from Clematis Florida

One new 14-membered ring cyclopeptide alkaloid, plenane A (1), along with six known compounds (2-7), was isolated from the roots of Clematis florida. Their structures were elucidated by means of NMR spectroscopic analysis and mass spectrometry. In addition, their anti- inflammatory effects on lipopolysaccharide-induced RAW264.7 macrophages were evaluated in vitro. The compounds 1, 2 and 6 exhibited potent indirect inhibitory effects, with IC₅₀ values of 40.92, 22.88 and 6.32 μM, respectively.

[Study on the relationship between serum vitamin D and the risk of type 2 diabetes in Harbin residents]

Objective: To analyze the relationship between serum vitamin D level and the risk of type 2 diabetes in Harbin residents. Methods: On April 2010, 24 communities in 7 districts of Harbin were selected as research sites using multi-stage stratified cluster random sampling method. A total of 9 734 residents aged 20-74 years was investigated using general questionnaire survey, dietary survey and biochemical indicators test and followed up from January 2015 to July 2016. A total of 4 721 subjects with serum vitamin D were included in the study. According to the quartile of baseline serum vitamin D, the subjects were divided into four groups, from Q1 to Q4 group. The multivariate logistic regression model was used to analyze the relationship between serum vitamin D and the risk of type 2 diabetes. A mediation analysis model was used to analyze the mediating role of insulin resistance in this risk relationship. Results: At the time of follow-up, 432 patients with type 2 diabetes were screened. The median (P(25), P(75)) age of the diabetic group and the non-diabetic group were 54 (49, 61) and 51 (43, 57) years, respectively, and males accounted for 40.5% (175 cases) and 35.5% (1 513 cases), respectively. The median (P(25), P(75)) serum vitamin D was 16.0 (13.5, 18.5) and 17.4 (14.3, 20.5) ng/ml, respectively. After relevant confounders and insulin resistance index (HOMA-IR) were adjusted, compared to the serum vitamin D level Q(1) group, the risk of diabetes was reduced by 40% in the Q(3) group with RR (95%CI) about 0.60 (0.44-0.82), while the risk of diabetes was reduced by 59% in Q(4) group with RR (95%CI) about 0.41 (0.29-0.57). Through mediation analysis, the Gutt index mediating effect representing peripheral insulin resistance was 53.8%, and the mediating effect of HOMA-IR representing hepatic insulin resistance was 6.6%. Conclusion: The risk of type 2 diabetes is low in Harbin residents with higher serum vitamin D level. Insulin resistance has a mediating effect on the relationship of vitamin D and the risk of type 2 diabetes.

[Association between dyslipidemia and carotid plaque incidence in a research group: a prospective cohort study]

Objective: To assess the association and intensity of baseline dyslipidemia with the incidence of carotid plaque in a researchers group in China. Methods: A total of 716 researchers were enrolled in this prospective cohort study. Dyslipidemia was assessed in 2010. Follow-up study on carotid plaque was conducted in 2017. Results: Over 8 years' follow-up, 289 carotid plaque patients were identified among 716 individuals who did not have carotid plaque at baseline survey, with cumulative incidence of 40.36%. After adjustment of age, gender, BMI, waist circumference, FPG, SBP, DBP, ALT and uric acid, compared with non-dyslipidemia group, HR of carotid plaque for such populations with ≥3 types of dyslipidemia was 1.681 (95%CI: 1.090--2.593). Conclusions: Dyslipidemia might be associated with higher risk of carotid plaque, and population with ≥3 types of dyslipidemia had higher risk for carotid plaque. Prevention of dyslipidemia or reduction of types of dyslipidemia might be one of the effective precautions for prevention of carotid plaque.

A new indole-type alkaloid from the roots of Clematis florida var. plena

One new indole-type alkaloid, α-L-rhamnopyranosyl-(1→6)-β-D- glucopyranosyl 6-methoxy-3-indolecarbonate (1), together with three known alkaloids (2-4), one aromatic acid (5) and five known saponins (6-10), was isolated from the roots of Clematis florida var. plena. Their structures were established by NMR spectroscopic analysis and acid hydrolysis. In in vivo anti-inflammatory activity, n-butanol extract was found to be potent against ear edema in mice, with inhibition rate of 48.7% at a dose of 800 mg/kg. Furthermore, compounds 8 and 9 obtained from the n-butanol extract exhibited significant anti-inflammatory activities with inhibition rates of 50.9% and 54.7% at a dose of 200 mg/kg.

Crystal structure of taxodione isolated from Taxodium ascendens (B.)

The title compound [systematic name: (4bS)-4-hy-droxy-2-isopropyl-4b,8,8-trimethyl-4b,5,6,7,8,8a-hexa-hydro-phenanthrene-3,9-dione], C₂₀H₂₆O₃, is an abietane-type diterpene, which was isolated from Taxodium ascendens (B.). In the crystal, mol-ecules are linked by weak C-H⋯O hydrogen bonds, forming supra-molecular chains propagating along the [001] direction.

[Research of mHLA-G and the receptor expression with kidney rejection and CMV active infection following kidney transplantation]

Objective: To study the expression of membrane HLA-G (mHLA-G) and the receptor immunoglobulin-like transcript 2(ILT2) on lymphocyte and find their association with rejection and cytomegalovirus (CMV) infection after renal transplantation. Methods: A total of 88 cases of renal transplant recipients for the first time from February 2014 to February 2016 were studied in this work. Recipients can be divided into rejection group (n=12) and stable renal function group (n=41) according to whether rejection occurred. Recipients only infected CMV not developed rejection were included in the CMV positive group (n=24). CMV negative group (n=11) including CMV negative recipients once infected CMV.The expression of mHLA-G and ILT2 on lymphocytes were detected by flow cytometry, and the differences among different groups were analyzed. Results: The data showed that after renal transplantation, T and B lymphocytes mHLA-G expression rate was the lowest in the rejection group (0.42%±0.35%, 0.88%±0.47%), having significant difference with renal function stable group and CMV positive group (all P<0.01). In CMV positive group the expression of mHLA-G on T and B lymphocytes was the highest (1.31%±0.69%, 2.01%±0.91%), having significant difference with rejection group (P<0.001). The expression of mHLA-G on B cell was statistically significantly different between CMV positive group and CMV negative group (P<0.05). There was no significant difference in ILT2 expression on B cell among the four groups (P>0.05). The expression rate of ILT2 on T cells was higher in the CMV positive group (36.91%±14.91%), having significant difference with the other three groups (P<0.01). Conclusions: Low expression of mHLA-G on T and B lymphocytes may predict rejection after renal transplantation. High expression of mHLA-G and ILT2 on lymphocytes is prone to CMV infection after renal transplantation .

[Characteristics of HBV transmission in families with HBsAg-positive fathers and familial clustering of HBV infection]

OBJECTIVE

To investigate the characteristics of hepatitis B virus (HBV) transmission among family members in families with familial clustering of HBV infection and poor outcomes, as well as the prevalence and distribution characteristics of HBsAg in offspring with different parental HBsAg status.

METHODS

The general information of each member in families with poor outcomes were collected from 2007 to 2010, and serological test was performed to analyze the prevalence and distribution of HBsAg in family members. The chi-square test or Fisher's exact test was used to analyze and compare the sex of offspring and the prevalence of HBsAg in them in 266 nuclear families with different paternal and maternal HBsAg status.

RESULTS

The positive rates of HBsAg in parents, siblings, children, and spouses of the probands were 20%, 88.2%, 76.8%, and 9.5%, respectively. The nuclear families with HBsAg-positive fathers and HBsAg-negative mothers had a significantly increased proportion of male offspring (male/female ratio = 2.02) compared with those with HBsAg-positive mothers and HBsAg-negative fathers (1.22) or those with HBsAg-negative fathers and mothers (0.96). In addition, in the nuclear families with HBsAg-positive fathers and HBsAg-negative mothers, the male offspring had a significantly higher HBsAg positive rate than female offspring (37.4% vs 13.8%), while in those with HBsAg-positive mothers and HBsAg-negative fathers or those with HBsAg-negative fathers and mothers, HBsAg positive rate showed no significant difference between male and female offspring.

CONCLUSION

In families with familial clustering of HBV infection and poor outcomes, mother-to-child transmission is still the major route of HBV transmission, but father-to-child transmission also plays a role in HBV transmission in this special population. Positive HBsAg in fathers is associated with the increased proportion of male offspring, and father-to-son transmission of HBV is higher than father-to-daughter transmission.

[Reconstruct abdominal aortic branch arteries totally by endovascular repair in complex aortic aneurysms: a single-centre experience]

OBJECTIVE

To report experiences and results of complex aortic aneurysms involving the visceral arteries treating by total endovascular repair.

METHODS

Seventy cases of thoracoabdominal aortic lesions treating by total endovascular repair in Department of Vascular Surgery, People's Liberation Army General Hospital from January 2011 to December 2014 were retrospectively analyzed. There were 47 cases underwent chimney technique, 6 underwent sandwich technique, 15 underwent fenestration technique and 2 underwent branched stent grafts technique.

RESULTS

The average follow-up time was 21 months, range from 3 to 47 months. Completion angiography showed that typeⅠ endoleak of chimney, sandwich, fenestration and branched stent grafts group were 9/47, 5/6, 2/15 and 0, respectively. While at 30-day typeⅠ endoleak reduced to 7/47, 2/6, 0 and 0. During follow-up, there were 3 target vessel stents occlusion in chimney group, the patency rate of target vessel stent was 95.1% (58/61). In sandwich, fenestration and branched stent grafts group, all the target vessel stents kept patent.

CONCLUSION

In this study, chimney, sandwich, fenestration and branched stent grafts techniques show good short-term and midterm results, the long-term effects still need further studies.

Blocking NAD(+)/CD38/cADPR/Ca(2+) pathway in sepsis prevents organ damage

BACKGROUND

Although the nicotinamide adenine dinucleotide (NAD(+))/CD38/cyclic ADP ribose (cADPR)/Ca(2+) signaling pathway has been shown to regulate intracellular calcium homeostasis and functions in multiple inflammatory processes, its role in sepsis remains unknown. The aim of this study was to determine whether the NAD(+)/CD38/cADPR/Ca(2+) signaling pathway is activated during sepsis and whether an inhibitor of this pathway, 8-Br-cADPR, protects the organs from sepsis-induced damage.

MATERIALS AND METHODS

Male Sprague-Dawley rats were subjected to cecal ligation and puncture (CLP) or sham laparotomies. NAD(+), cADPR, CD38, and intracellular Ca(2+) levels were measured in the hearts, livers, and kidneys of septic rats at 0, 6, 12, 24, and 48 h after CLP surgery. Rats were also divided into sham, CLP, and CLP+8-Br-cADPR groups, and the hearts, livers, and kidneys were hematoxylin-eosin-stained and assayed for malondialdehyde and superoxide dismutase activities.

RESULTS

NAD(+), cADPR, CD38, and intracellular Ca(2+) levels increased in the hearts, livers, and kidneys of septic rats as early as 6-24 h after CLP surgery. Treatment with 8-Br-cADPR inhibited sepsis-induced intracellular Ca(2+) mobilization, attenuated tissue injury, reduced malondialdehyde levels, and increased superoxide dismutase activity in septic rats.

CONCLUSIONS

The NAD(+)/CD38/cADPR/Ca(2+) signaling pathway was activated during sepsis in the CLP rat model. Blocking this pathway with 8-Br-cADPR protected hearts, livers, and kidneys from sepsis-induced damage.

Effect of baculovirus P35 protein on apoptosis in brain tissue of rats with acute cerebral infarction

We explored the effect of baculovirus P35 protein on apoptosis in the brain tissue of rats with acute cerebral infarction (ACI). A rat model of middle cerebral artery infarction was created. The rats were randomly divided into sham, model, and treatment groups. Baculovirus P35 protein was injected into the intracranial arteries of the treatment group rats. The rats in the model group were given an equal volume of phosphate-buffered saline. The rats were sacrificed after 72 h and the brain tissue was separated. The levels of caspase-3, Bcl-2, and Bax mRNA, the brain cell apoptosis index, and the infarct size were determined. After 72 h, the levels of caspase-3 and Bax mRNA in the model and treatment groups were significantly greater than in the sham group, and the levels of Bcl-2 mRNA were significantly smaller (P < 0.05). The levels of caspase-3 and Bax mRNA were significantly lower in the treatment group than in the model group, and the level of Bcl-2 mRNA was significantly greater (P < 0.05). Compared with the sham group, the brain tissue apoptosis index and the cerebral infarction area increased significantly in the model and treatment groups (P < 0.05). The brain tissue apoptosis index and cerebral infarction area in the treatment group were significantly lower than in the model group (P < 0.05). Baculovirus P35 protein can effectively inhibit brain cell apoptosis in rats with ACI. It delayed apoptosis and necrosis in subjects with ACI tissue and had a protective effect on brain tissue.

Effect of surface free energies on the heterogeneous nucleation of water droplet: a molecular dynamics simulation approach

Heterogeneous nucleation of water droplet on surfaces with different solid-liquid interaction intensities is investigated by molecular dynamics simulation. The interaction potentials between surface atoms and vapor molecules are adjusted to obtain various surface free energies, and the nucleation process and wetting state of nuclei on surfaces are investigated. The results indicate that near-constant contact angles are already established for nano-scale nuclei on various surfaces, with the contact angle decreasing with solid-liquid interaction intensities linearly. Meanwhile, noticeable fluctuation of vapor-liquid interfaces can be observed for the nuclei that deposited on surfaces, which is caused by the asymmetric forces from vapor molecules. The formation and growth rate of nuclei are increasing with the solid-liquid interaction intensities. For low energy surface, the attraction of surface atoms to water molecules is comparably weak, and the pre-existing clusters can depart from the surface and enter into the bulk vapor phase. The distribution of clusters within the bulk vapor phase becomes competitive as compared with that absorbed on surface. For moderate energy surfaces, heterogeneous nucleation predominates and the formation of clusters within bulk vapor phase is suppressed. The effect of high energy particles that embedded in low energy surface is also discussed under the same simulation system. The nucleation preferably initiates on the high energy particles, and the clusters that formed on the heterogeneous particles are trapped around their original positions instead of migrating around as that observed on smooth surfaces. This feature makes it possible for the heterogeneous particles to act as fixed nucleation sites, and simulation results also suggest that the number of nuclei increases monotonously with the number of high energy particles. The growth of nuclei on high energy particles can be divided into three sub-stages, beginning with the formation of a wet-spot, increase of contact angle with near-constant contact line, and finally growth with constant contact angle. The growth rate of nuclei also increases with the size of high energy particles.

PBEF promotes the apoptosis of pulmonary microvascular endothelial cells and regulates the expression of inflammatory factors and AQP1 through the MAPK pathways

Pre-B cell colony-enhancing factor (PBEF) has been shown to have a variety of biological functions. Studies have proven that PBEF plays a functional role in acute lung injury (ALI). Therefore, in this study, we aimed to confirm the importance of PBEF in ALI. The effects of PBEF overexpression on the apoptosis of human pulmonary microvascular endothelial cells (HPMECs) were analyzed by flow cytometry, and the results indicated that PBEF promoted the apoptosis of HPMECs, which aggravated the development of ALI. Comparative experiments involving increasing and decreasing PBEF expression demonstrated that PBEF promoted the expression of inflammatory factors, such as interleukin (IL)‑1β, IL‑6 and IL‑8 in the HPMECs , thus intensifying the inflammatory response. PBEF also inhibited the expression of aquaporin 1 (AQP1), which caused a dysfunction and imbalance in water transport. Moreover, we also found that tumor necrosis factor (TNF)‑α promoted the expression of PBEF in the HPMECs. After blocking the mitogen-activated protein kinase (MAPK) and phosphoinositide 3-kinase (PI3K) pathways, we found that PBEF regulated the expression of inflammatory factors and AQP1, mainly through the MAPK pathways. Taken together, these results demonstrate that the increase in intracellular PBEF expression promoted the apoptosis of HPMECs and the expression of inflammatory factors and thus enhanced the inflammatory response and inhibited the expression of AQP1, which resulted in abnormal water transport, diminishing the regulatory effects of AQP1 on water transport.

Polymorphisms in the delta-like 2 homolog gene and their association with growth and meat-quality traits in Qinchuan cattle

The delta-like 2 homolog (DLK2) modulates adipogenesis, hematopoiesis, osteogenesis, and other cell-differentiation processes. In the present study, we detected potential polymorphisms in the DLK2 gene in 604 individuals of Qinchuan cattle by using PCR-RFLP and DNA-sequencing methods. Herein, we identified five novel single-nucleotide polymorphisms (SNPs) (g.888G>A, g.910A>G, g.995G>A, g.4321A>G, g.4850A>G) and analyzed their association with measured traits. Four of the five analyzed polymorphisms were associated with at least one of the following traits: body weight (BW), chest depth (CD), chest circumference (CC), back fat thickness (BT), and rib-eye area (REA). To the best of our knowledge, our research is the first to report the association of DLK2 gene polymorphisms with growth and meat quality traits in Qinchuan cattle. In summary, the results of our study suggest that the DLK2 gene can be used as a candidate gene in beef cattle breeding.

Predicting targeted polypharmacology for drug repositioning and multi- target drug discovery

Prediction of polypharmacology of known drugs and new molecules against selected multiple targets is highly useful for finding new therapeutic applications of existing drugs (drug repositioning) and for discovering multi-target drugs with improved therapeutic efficacies by collective regulations of primary therapeutic targets, compensatory signalling and drug resistance mechanisms. In this review, we describe recent progresses in exploration of in-silico methods for predicting polypharmacology of known drugs and new molecules by means of structure-based (molecular docking, binding- site structural similarity, receptor-based pharmacophore searching), expression-based (expression profile/signature similarity disease-drug and drug-drug networks), ligand-based (similarity searching, side-effect similarity, QSAR, machine learning), and fragment-based approaches that have shown promising potential in facilitating drug repositioning and the discovery of multi-target drugs.

Virtual screening methods as tools for drug lead discovery from large chemical libraries

Virtual screening methods have been developed and explored as useful tools for searching drug lead compounds from chemical libraries, including large libraries that have become publically available. In this review, we discussed the new developments in exploring virtual screening methods for enhanced performance in searching large chemical libraries, their applications in screening libraries of ~ 1 million or more compounds in the last five years, the difficulties in their applications, and the strategies for further improving these methods.

SNPs at 3'-UTR of the bovine CDIPT gene associated with Qinchuan cattle meat quality traits

The CDIPT is crucial to the fatty acid metabolic pathway, intracellular signal transduction and energy metabolism in eukaryotic cells. We detected three SNPs at 3'-untranslated regions (UTR), named 3'-UTR_108 A > G, 3'-UTR_448 G > A and 3'-UTR_477 C > G, of the CDIPT gene in 618 Qinchuan cattle using PCR-RFLP and DNA sequencing methods. At each of the three SNPs, we found three genotypes named as follows: AA, AB, BB (3'-UTR_108 A > G), CC, CD, DD (3'-UTR_448 G > A) and EE, EF, FF (3'-UTR_477 C > G.). Based on association analysis of these SNPs with ultrasound measurement traits, individuals of genotype BB had a significantly larger loin muscle area than genotype AA. Individuals of genotype CC had significantly thicker back fat than individuals of genotype DD. Individuals of genotype EE also had significantly thicker back fat than did individuals of genotype FF. We conclude that these SNPs of the CDIPT gene could be used as molecular markers for selecting and breeding beef cattle with superior body traits, depending on breeding goals.

Novel SNPs in the exon region of bovine DKK4 gene and their association with body measurement traits in Qinchuan cattle

The aim of this study was to determine whether single nucleotide polymorphisms (SNPs) of bovine Dickkopf homolog 4 (DKK4) are associated with body measurement traits in Qinchuan cattle. By using PCR-SSCP technology and DNA sequencing, we discovered 5 DKK4 SNPs in Qingchuan cattle, including -65G>A and -77G>T in the 5'-untranslated region, 1532C>G and 1533T>C in exon 2, and 2088C>T in exon 3. The sequencing map showed that 1532C>G and 1533T>C were in close linkage disequilibrium and were treated as 1532C>G-1533T>C in this study. Allele frequencies were calculated and analyzed by the chi-square test, which showed that -65G>A and 1532C>G-1533T>C were in Hardy-Weinberg equilibrium (P > 0.05), whereas -77G>T and 2088C>T were not in all 633 tested Qinchuan cattle individuals (P < 0.01). Gene heterozygosity (HE), effective allele number (NE), and polymorphism information content (PIC) were 0.407, 1.686, and 0.324 at -65G>A; 0.472, 1.894, and 0.361 at -77G>T; 0.476, 1.908, and 0.363 at 1532C>G-1533T>C; and 0.218, 1.279, and 0.195 at 2088C>T. We also evaluated the potential association of these SNPs with body measurement traits in all 633 individuals; the results suggest that several SNPs in Qinchuan cattle DKK4 were significantly associated with body length, hip height, rump length, hip width, heart girth, and pin bone width (P < 0.05 and P < 0.01). These results suggest that bovine DKK4 could be used as candidate gene for Qinchuan cattle breeding.

Expression of KLF6 in gastric carcinoma and premalignant gastric lesions

AIM: To detect the expression of the krüppel-like factor 6 (KLF6) in human gastric carcinoma and premalignant gastric lesions to investigate its role in the occurrence and development of gastric cancer.

METHODS: Fresh frozen gastric carcinoma tissues and matched tumor-adjacent normal gastric mucosa tissues were collected from 32 patients with gastric carcinoma. RT-PCR was used to analyze the expression level of KLF6 mRNA in these tissue samples. Meanwhile, the expression of KLF6 protein was detected by immunohistochemistry in 111 formalin-fixed paraffin-embedded samples, including 20 cases of normal gastric mucosa, 45 cases of intestinal metaplasia, 16 cases of dysplasia, and 30 cases of gastric carcinoma. The association of KLF6 expression with clinicopathological characteristics was analyzed.

RESULTS: The positive rate of KLF6 protein expression in normal gastric mucosa was significantly different from those in type Ⅲ intestinal metaplasia, dysplasia and gastric carcinoma (χ² = 6.033, 3.889, 11.092, P = 0.014, 0.049, 0.001). The positive rate of KLF6 expression in gastric carcinoma was associated with tumor differentiation and size (P = 0.009, 0.010). There was no significant difference in the expression of KLF6 mRNA between normal gastric mucosa and gastric carcinoma (P = 0.357).

CONCLUSION: Abnormal expression of KLF6 is closely related to type Ⅲ intestinal metaplasia, dysplasia, and gastric carcinoma. Detection of KLF6 expression may have certain value in the surveillance of premalignant lesions and the discovery of early gastric carcinoma.

Diabetes mellitus and incidence and mortality of gastric cancer: a meta-analysis

AIMS

Epidemiologic studies have examined the possible associations between diabetes mellitus (DM) and gastric cancer (GC), but the results are inconclusive. We conducted a meta-analysis to assess the evidence regarding the associations between diabetes and incidences of, or mortality from, gastric cancer.

METHODS

PubMed, Embase and Web of Science were searched up to Oct 20, 2011. We identified studies that included effects estimates with 95% confidence intervals (CIs) of the associations between GC and diabetes. Summary RRs for the GC incidence and mortality were calculated using random-effects model; subgroup analyses were also performed. Heterogeneity among studies was examined using Q and I2 statistics.

RESULTS

A total of 7 case-control and 18 cohort studies met the inclusion criteria. The summary RR showed a slightly statistical link between history of DM and GC incidence (RR=1.11, 95% CI: 1.00-1.24, p=0.045, I2=79.5%). In the subgroup analyses, a positive association was noted among the studies conducted in Asia (summary RR=1.19, 95% CI: 1.07-1.32, I2=29.8%). Additionally, slight associations between DM and GC were observed by pooling the data of type 2 DM, cohort studies and the studies controlling more confounders, respectively. Furthermore, mortality from GC with diabetes was increased compared with individuals without diabetes (summary RR=1.29, 95% CI: 1.04-1.59). No publication bias was found.

CONCLUSION

Individuals with diabetes have an increased risk of developing gastric cancer, and are positively associated with gastric cancer mortality. Large better-designed cohort studies are needed to verify this conclusion.

Effect of various freezing solutions on cryopreservation of mesenchymal stem cells from different animal species

The objective of this study is to compare the effects of different well defined freezing solutions with a reduced concentration of dimethylsulfoxide (DMSO) combined with polyethylene glycol (PEG) and/or trehalose on cryopreservation of mesenchymal stem cells (MSCs) from mice, rats and calves. Post-thaw cell viability, proliferation capacity and differentiation potential of MSCs from different species were assessed after cryopreservation with the conventional slow freezing method. Although the post-thaw viabilities and metabolic activities varied among the different species, satisfactory results were obtained with 5 percent (v/v) DMSO, 2 percent (w/v) PEG, 3 percent (w/v) trehalose and 2 percent (w/v) bovine serum albumin (BSA) as the freezing solution. Our results showed that mouse MSCs were more robust to cryopreservation compared with rat and bovine MSCs.

Virtual screening of selective multitarget kinase inhibitors by combinatorial support vector machines

Multitarget agents have been increasingly explored for enhancing efficacy and reducing countertarget activities and toxicities. Efficient virtual screening (VS) tools for searching selective multitarget agents are desired. Combinatorial support vector machines (C-SVM) were tested as VS tools for searching dual-inhibitors of 11 combinations of 9 anticancer kinase targets (EGFR, VEGFR, PDGFR, Src, FGFR, Lck, CDK1, CDK2, GSK3). C-SVM trained on 233-1,316 non-dual-inhibitors correctly identified 26.8%-57.3% (majority >36%) of the 56-230 intra-kinase-group dual-inhibitors (equivalent to the 50-70% yields of two independent individual target VS tools), and 12.2% of the 41 inter-kinase-group dual-inhibitors. C-SVM were fairly selective in misidentifying as dual-inhibitors 3.7%-48.1% (majority <20%) of the 233-1,316 non-dual-inhibitors of the same kinase pairs and 0.98%-4.77% of the 3,971-5,180 inhibitors of other kinases. C-SVM produced low false-hit rates in misidentifying as dual-inhibitors 1,746-4,817 (0.013%-0.036%) of the 13.56 M PubChem compounds, 12-175 (0.007%-0.104%) of the 168 K MDDR compounds, and 0-84 (0.0%-2.9%) of the 19,495-38,483 MDDR compounds similar to the known dual-inhibitors. C-SVM was compared to other VS methods Surflex-Dock, DOCK Blaster, kNN and PNN against the same sets of kinase inhibitors and the full set or subset of the 1.02 M Zinc clean-leads data set. C-SVM produced comparable dual-inhibitor yields, slightly better false-hit rates for kinase inhibitors, and significantly lower false-hit rates for the Zinc clean-leads data set. Combinatorial SVM showed promising potential for searching selective multitarget agents against intra-kinase-group kinases without explicit knowledge of multitarget agents.

Identifying Novel Type ZBGs and Nonhydroxamate HDAC Inhibitors Through a SVM Based Virtual Screening Approach

Histone deacetylase inhibitors (HDACi) have been successfully used for the treatment of cancers and other diseases. Search for novel type ZBGs and development of non-hydroxamate HDACi has become a focus in current research. To complement this, it is desirable to explore a virtual screening (VS) tool capable of identifying different types of potential inhibitors from large compound libraries with high yields and low false-hit rates similar to HTS. This work explored the use of support vector machines (SVM) combined with our newly developed putative non-inhibitor generation method as such a tool. SVM trained by 702 pre-2008 hydroxamate HDACi and 64334 putative non-HDACi showed good yields and low false-hit rates in cross-validation test and independent test using 220 diverse types of HDACi reported since 2008. The SVM hit rates in scanning 13.56 M PubChem and 168K MDDR compounds are comparable to HTS rates. Further structural analysis of SVM virtual hits suggests its potential for identification of non-hydroxamate HDACi. From this analysis, a series of novel ZBG and cap groups were proposed for HDACi design.

Virtual screening of Abl inhibitors from large compound libraries by support vector machines

Abl promotes cancers by regulating cell morphogenesis, motility, growth, and survival. Successes of several marketed and clinical trial Abl inhibitors against leukemia and other cancers and appearances of reduced efficacies and drug resistances have led to significant interest in and efforts for developing new Abl inhibitors. In silico methods of pharmacophore, fragment, and molecular docking have been used in some of these efforts. It is desirable to explore other in silico methods capable of searching large compound libraries at high yields and reduced false-hit rates. We evaluated support vector machines (SVM) as a virtual screening tool for searching Abl inhibitors from large compound libraries. SVM trained and tested by 708 inhibitors and 65,494 putative noninhibitors correctly identified 84.4 to 92.3% inhibitors and 99.96 to 99.99% noninhibitors in 5-fold cross validation studies. SVM trained by 708 pre-2008 inhibitors and 65 494 putative noninhibitors correctly identified 50.5% of the 91 inhibitors reported since 2008 and predicted as inhibitors 29,072 (0.21%) of 13.56M PubChem, 659 (0.39%) of 168K MDDR, and 330 (5.0%) of 6638 MDDR compounds similar to the known inhibitors. SVM showed comparable yields and substantially reduced false-hit rates against two similarity based and another machine learning VS methods based on the same training and testing data sets and molecular descriptors. These suggest that SVM is capable of searching Abl inhibitors from large compound libraries at low false-hit rates.

[Preparation of clenbuterol monoclonal antibody with subtractive immunization method]

AIM

To obtain Clenbuterol monoclonal antibodies.

METHODS

Clenbuterol complete antigen was prepared with diazotization method. BALB/c mice was immunized with subtractive immunization, Clenbuterol monoclonal antibody was prepared with rule hybridoma technique.

RESULTS

The mice obtained tolerance to BSA by subtractive immunization. The rate of the hybridoma cell with positive reaction which had obtained was 8.2%, and the specific clenbuterol monoclonal antibody was obtained at last.

CONCLUSION

Monoclonal antibodies to micromolecule contaminant be prepared by subtractive immunization, could decrease the workload in the bolting of monoclonal antibodies, and increase the chance to obtain the antibody of expected.

Prediction of antibiotic resistance proteins from sequence-derived properties irrespective of sequence similarity

Increasing antibiotic resistance has become a worldwide challenge to the clinical treatment of infectious diseases. The identification of antibiotic resistance proteins (ARPs) would be helpful in the discovery of new therapeutic targets and the design of novel drugs to control the potential spread of antibiotic resistance. In this work, a support vector machine (SVM)-based ARP prediction system was developed using 1308 ARPs and 15587 non-ARPs. Its performance was evaluated using 313 ARPs and 7156 non-ARPs. The computed prediction accuracy was 88.5% for ARPs and 99.2% for non-ARPs. A potential application of this method is the identification of ARPs non-homologous to proteins of known function. Further genome screening found that ca. 3.5% and 3.2% of proteins in Escherichia coli and Staphylococcus aureus, respectively, are potential ARPs. These results suggest the usefulness of SVMs for facilitating the identification of ARPs. The software can be accessed at SARPI (Server for Antibiotic Resistance Protein Identification).

Evaluation of virtual screening performance of support vector machines trained by sparsely distributed active compounds

Virtual screening performance of support vector machines (SVM) depends on the diversity of training active and inactive compounds. While diverse inactive compounds can be routinely generated, the number and diversity of known actives are typically low. We evaluated the performance of SVM trained by sparsely distributed actives in six MDDR biological target classes composed of a high number of known actives (983-1645) of high, intermediate, and low structural diversity (muscarinic M1 receptor agonists, NMDA receptor antagonists, thrombin inhibitors, HIV protease inhibitors, cephalosporins, and renin inhibitors). SVM trained by regularly sparse data sets of 100 actives show improved yields at substantially reduced false-hit rates compared to those of published studies and those of Tanimoto-based similarity searching method based on the same data sets and molecular descriptors. SVM trained by very sparse data sets of 40 actives (2.4%-4.1% of the known actives) predicted 17.5-39.5%, 23.0-48.1%, and 70.2-92.4% of the remaining 943-1605 actives in the high, intermediate, and low diversity classes, respectively, 13.8-68.7% of which are outside the training compound families. SVM predicted 99.97% and 97.1% of the 9.997 M PUBCHEM and 167K remaining MDDR compounds as inactive and 2.6%-8.3% of the 19,495-38,483 MDDR compounds similar to the known actives as active. These suggest that SVM has substantial capability in identifying novel active compounds from sparse active data sets at low false-hit rates.

A support vector machines approach for virtual screening of active compounds of single and multiple mechanisms from large libraries at an improved hit-rate and enrichment factor

Support vector machines (SVM) and other machine-learning (ML) methods have been explored as ligand-based virtual screening (VS) tools for facilitating lead discovery. While exhibiting good hit selection performance, in screening large compound libraries, these methods tend to produce lower hit-rate than those of the best performing VS tools, partly because their training-sets contain limited spectrum of inactive compounds. We tested whether the performance of SVM can be improved by using training-sets of diverse inactive compounds. In retrospective database screening of active compounds of single mechanism (HIV protease inhibitors, DHFR inhibitors, dopamine antagonists) and multiple mechanisms (CNS active agents) from large libraries of 2.986 million compounds, the yields, hit-rates, and enrichment factors of our SVM models are 52.4-78.0%, 4.7-73.8%, and 214-10,543, respectively, compared to those of 62-95%, 0.65-35%, and 20-1200 by structure-based VS and 55-81%, 0.2-0.7%, and 110-795 by other ligand-based VS tools in screening libraries of >or=1 million compounds. The hit-rates are comparable and the enrichment factors are substantially better than the best results of other VS tools. 24.3-87.6% of the predicted hits are outside the known hit families. SVM appears to be potentially useful for facilitating lead discovery in VS of large compound libraries.