The Incidences and Related CT Features of Vascular Lake Phenomenon on Angiography Before Chemoembolization.

PURPOSE: To elucidate incidence rates of vascular lake phenomenon (VLP) in hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), hepatic metastasis (HMT) on transarterial angiography before chemoembolization, and to identity CT features predictive for it. MATERIALS AND METHODS: A comprehensive evaluation involved 665 subjects for incidence analysis, comprising 527 of HCC, 33 of ICC and 105 of HMT. VLP was characterized as intratumoral contrast material pool persisting late into venous phase. Incidences were cataloged on both super-selective and common hepatic artery angiography. For CT features analysis, a subset of 182 cases were analyzed. Enhancement ratio served as an index for comparative analysis of nodule enhancement degrees. RESULTS: In HCC, incidence of VLP ascertained via super-selective angiography was 13.5%, whereas it as 7.8% on common hepatic artery angiography. Remarkably, no incidences of VLP were recorded in either ICC or HMT cases. On pre-interventional CT, the prevalence of pseudocapsule was statistically greater in VLP group than Non-VLP group (66.6% vs. 37.6%, P = 0.015). The Houndsfield units (HU) of tumors in plain scan (P = 0.007), arterial phase (P = 0.001), venous phase (P = 0.041), arterial phase enhancement ratio (P < 0.001) were statistically higher in VLP group compared to Non-VLP group. Arterial phase enhancement ratio (P = 0.025), presence of pseudocapsule (P = 0.001), HU of tumor in plain scan (P = 0.035) serve as independent risk factors for VLP manifestation. CONCLUSION: VLP is a distinct angiography phenomenon uniquely associated with HCC. High arterial phase enhancement ratio, presence of pseudocapsule, high HU of tumor in plain scan are independent risk factors for VLP.

Gas-to-ionic liquid partition: QSPR modeling and mechanistic interpretation.

The present work was devoted to explore the quantitative structure-property relationships for gas-to-ionic liquid partition coefficients (log KILA ). A series of linear models were first established for the representative dataset (IL01). The optimal model was a four-parameter equation (1Ed) consisting of two electrostatic potential-based descriptors ( Σ V s , i n d - ${{\rm { \Sigma }}{V}_{s,ind}^{-}}$ and Vs,max ), one 2D matrix-based descriptor (J_D/Dt) and dipole moment (µ). All of the four descriptors introduced in the model can find the corresponding parameters, directly or indirectly, from Abraham's linear solvation energy relationship (LSER) or its theoretical alternatives, which endows the model good interpretability. Gaussian process was utilized to build the nonlinear model. Systematical validations, including 5-fold cross-validation for the training set, the validation for test set, as well as a more rigorous Monte Carlo cross-validation were performed to verify the reliability of the constructed models. Applicability domain of the model was evaluated, and the Williams plot revealed that the model can be used to predict the log KILA values of structurally diverse solutes. The other 13 datasets were also processed in the same way, and all of the linear models with expressions similar to equation 1Ed were obtained. These models, whether linear of nonlinear, represent satisfactory statistical results, which confirms the universality of the method adopted in this study in QSPR modeling of gas-to-IL partition.

Transcriptome-Wide Study Revealed That N6-Methyladenosine Participates in Regulation Meat Production in Goats.

In mammals, skeletal muscle development is a complex biological process regulated by many factors. N6-methyladenosine (m6A) RNA modification plays an important role in many biological processes. However, the regulation of m6A on skeletal muscle growth and development in adult goats remains unclear. In this study, Duan goats (DA) and Nubia goats (NBY), both female and 12 months old, were selected as the research objects, and m6A-Seq and RNA-Seq were mainly used to detect the difference of m6A modification and gene expression during the development of the longissimus dorsi (LD) muscle in the two breeds. The results showed that compared with DA, the meat production performance of NBY was better than that of DA, and the modification level of m6A was higher than that of DA in LD. The m6A-Seq of LD indicated m6A peaks were mainly enriched in the coding sequence (CDS) and stop codon. A total of 161 differentially methylated genes (DMGs) and 1294 differentially expressed genes (DEGs) were identified in two breeds. GO and KEGG analysis showed that DMGs were closely related to cellular metabolism, and most of DMGs were enriched in pathways related to energy metabolism, muscle growth and development, mainly MAPK signaling pathway, Wnt signaling pathway and CGMP-PKG signaling pathway. The DEGs were significantly enriched in actin binding, calcium ion binding, angiogenesis, and other biological processes, and most of them were enriched in PI3K-Akt and CGMP-PKG signaling pathways. Combined analysis of m6A-Seq and RNA-Seq data revealed a negative correlation between differentially methylated m6A levels and mRNA abundance, and mRNA expression of the gene with m6A peak near 3'UTR will decrease. In addition, 11 DMGs regulating cell differentiation, muscle growth and development were identified. This study displayed the m6A profiles and distribution patterns in the goat transcriptome, determined the potential role of m6A modification in muscle growth and provided a new reference for the further study of goat skeletal muscle development.

Effect of EGCG Extracted from Green Tea against Largemouth Bass Virus Infection.

(1) Background: Largemouth bass virus (LMBV) is a major viral pathogen in largemouth bass (Micropterus salmoides) aquaculture that often causes high mortality and heavy economic losses, thus developing treatments to combat this pathogen is of great commercial importance. Green tea is a well-known medicinal plant that contains active ingredients with antiviral, antibacterial, and other biological activities. The goals of this study were to explore the effect and mechanism of green tea source compounds on LMBV and provide data to serve as the basis for the screening of targeted drugs in the future. In this study, we evaluated the effects of the main component of green tea, epigallocatechin-3-gallate (EGCG), against LMBV infection. (2) Methods: The safe working concentration of EGCG was identified by cell viability detection and light microscopy. The antiviral activity and mechanism of action of EGCG against LMBV infection were evaluated with light microscopy, an aptamer 6-carboxy-fluorescein-based fluorescent molecular probe, and reverse transcription quantitative PCR. (3) Results: The safe working concentration of EGCG was ≤10 µg/mL. EGCG showed significant anti-LMBV infection activity in a concentration-dependent manner, and it also destroyed the structure of virus particles. EGCG impacted the binding of virus particles to cell receptors and virus invasion into the host cells. Inhibitory effects of EGCG on LMBV particles, LMBV binding to the host-cell membrane, and LMBV invasion were 84.89%, 98.99%, and 95.23%, respectively. Meanwhile, the effects of EGCG subsequently were verified in vivo. The fatality rate of the LMBV + EGCG group was significantly lower than that of the LMBV group. (4) Conclusions: Our results suggest that EGCG has effective antiviral properties against LMBV and may be a candidate for the effective treatment and control of LMBV infections in largemouth bass aquaculture.

Molecularly engineered AIEgens with enhanced quantum and singlet-oxygen yield for mitochondria-targeted imaging and photodynamic therapy.

Luminogens characteristic of aggregation-induced emission (AIEgens) have been extensively exploited for the development of imaging-guided photodynamic therapeutic (PDT) agents. However, intramolecular rotation of donor-acceptor (D-A) type AIEgens favors non-radiative decay of photonic energy which results in unsatisfactory fluorescence quantum and singlet oxygen yields. To address this issue, we developed several molecularly engineered AIEgens with partially "locked" molecular structures enhancing both fluorescence emission and the production of triplet excitons. A triphenylphosphine group was introduced to form a D-A conjugate, improving water solubility and the capacity for mitochondrial localization of the resulting probes. Experimental and theoretical analyses suggest that the much higher quantum and singlet oxygen yield of a structurally "significantly-locked" probe (LOCK-2) than its "partially locked" (LOCK-1) and "unlocked" equivalent (LOCK-0) is a result of suppressed AIE and twisted intramolecular charge transfer. LOCK-2 was also used for the mitochondrial-targeting, fluorescence image-guided PDT of liver cancer cells.

QSPR study on Hydrophobicity of Pt(II) complexes with surface electrostatic potential-based descriptors.

Pt(II) complexes play an important role in bioinorganic chemistry due to their antitumor activities. In the present study, we focused on building predictive models for the hydrophobicity of Pt(II) complexes. A five-parameter model, integrating frontier orbital energies (EHOMO, ELUMO) and descriptors derived from electrostatic potentials on molecular surface, was firstly constructed by using multiple linear regression (MLR) method. Mechanistic interpretations of the introduced descriptors were elucidated in terms of intermolecular interactions in the n-octanol/water partition system. Then, four up-to-date modeling methods, including support vector machine (SVM), least-squares support vector machine (LSSVM), random forest (RF) and Gaussian process (GP), were utilized to build the nonlinear models. Systematical validations including leave-one-out cross-validation, the validation for test set, as well as a very rigorous Monte Carlo cross-validation (MCCV) were performed to verify the reliability of the constructed models. The peak, median and integralRext2 values of the best GP model are 0.88, 0.86 and 0.84, respectively. The root mean squared errors for the test set (RMSEP) of the MLR, SVM, LSSVM and GP models fall in the range of 0.62-0.71. Although they are not superior to prior models built with the use of a number of descriptors, the results are satisfactory. Applicability domain of the model was evaluated.

Water-soluble bright NIR AIEgens with hybrid ROS for wash-free mitochondrial "off-on" imaging and photodynamic therapy.

Several aggregation-induced emission luminogens (AIEgens) with excellent water-solubility and near-infrared emission were designed and synthesized for wash-free "off-on" mitochondrial imaging and photodynamic therapy of HeLa cells. The AIEgen TEPP exhibits both bright near-infrared emission (φF = 17.8%) and high hybrid ROS productivity (including OH˙ and 1O2).

Prediction of the hydrophobicity of platinum(IV) complexes based on molecular surface properties.

A quantitative structure-property relationship (QSPR) study was performed for predicting the hydrophobicity of Pt(IV) complexes. Two four-parameter equations, one based solely on structural descriptors derived from electrostatic potentials (ESPs) on molecular surface, and the other integrated ESP descriptors with molecular surface area (AS), were firstly constructed. Mechanistic interpretations of the structural descriptors introduced were elucidated in terms of solute-solvent intermolecular interactions. Subsequently, several up-to-date modeling techniques, including support vector machine (SVM), least-squares support vector machine (LSSVM), random forest (RF) and Gaussian process (GP), were utilized to build the nonlinear models. Systematical validations including leave-one-out cross-validation, the validation for test set, as well as a more rigorous Monte Carlo cross-validation were performed to verify the reliability of the constructed models. The predictive performances of the four different nonlinear modeling methods follow the order of LSSVM≈GP > RF > SVM. The pure-ESP-based models are generally inferior to the AS-integrated ones. Comparisons with previous results were made.

Multicolor Circularly Polarized Photoluminescence and Electroluminescence with 1,2-Diaminecyclohexane Enantiomers.

Development of simple chiral materials with tunable circularly polarized photoluminescence (CPPL) and circularly polarized electroluminescence (CPEL) for efficient circularly polarized organic light-emitting diodes (CP-OLEDs) is the key toward future 3D displays. In this study, four pairs of chiral 1,2-diaminocyclohexane-based fluorescence enantiomers were efficiently prepared with high yields (up to 92%) and enantiomeric excesses (ee >99%). By the introduction of N-methyl, carbazole, and diphenylamine-donating groups, these materials showed multicolor CPPL and CPEL from blue (420 nm) to red (610 nm) with good thermal and conformational stability. The multilayer CP-OLEDs based on these enantiomers show high external quantum efficiency of up to 5.5% with low-efficiency roll-off and microimage circularly polarized electroluminescence with a dissymmetry factor (gEL) of up to -1.4 × 10-3/+1.3 × 10-3. These results push forward the development of future multicolor circularly polarized electroluminescent materials.

Spontaneous regression of recurrent hepatocellular carcinoma with multiple lung metastases.

Spontaneous regression (SR) of hepatocellular carcinoma (HCC) is a rare phenomenon but its true incidence is much higher than expected. We report a recurrent HCC who experienced SR both in intrahepatic lesion and lung metastasis. Serum alpha-fetoprotein decreased dramatically from more than 1000 µg/L to normal range. In addition, we reviewed 11 similar case reports published in recent 5 years. We find that the interval from diagnosis to the recognition of SR is very short (4 m, 1-14 m). Therefore, we speculate the mechanism of SR should be a severe systemic reaction, and immune activation is the most likely conjecture.

Prediction on separation factor of chiral arylhydantoin compounds and recognition mechanism between chiral stationary phase and the enantiomers.

Chiral hydantoins display potential antidepressant and anticancer activities. The quantitative structure property relationship (QSPR) study on chiral compounds plays a key role in predicting the retention factor and the separation factor even the elution order of the enantiomers. In this study, the structures of chiral arylhydantoin compounds have been built to compute molecular structural parameters using VolSurf program. The satisfying models were established between the parameters and the retention factor as well as the separation factor. Analysis on the variables shows that the large difference values of volume, hydrophilic regions and hydrogen bond acceptor and donor regions at some energy levels will result in the large separation factor. The differences of hydrophobic regions and the unbalance between the centre of mass and the barycentre of the hydrophobic region at high energy levels are also favorable to the separation. The differences of surface area, hydrophilic regions and hydrogen bond acceptor and donor regions at other energy levels as well as hydrophobic regions and the unbalance at low energy levels between the enantiomers are disadvantageous to the separation. The analysis on the chiral recognition mechanism demonstrates that the differences of the interaction energies between the enantiomers are mainly affected by the hydrogen bond, π-π interaction and CH3-π interaction. The retention factor and the separation factor, especially the elution order of the enantiomers can be easily predicted using the models. The study provides a helpful guidance for studying other chiral compounds.

Phosphorylation Mechanism of N-Acetyl-l-glutamate Kinase, a QM/MM Study.

In microorganisms and plants, N-acetyl-l-glutamate kinase (NAGK) catalyzes the second step in l-arginine synthesis, the phosphorylation of N-Acetyl-l-glutamate (NAG) to give N-acetyl-l-glutamate-5-phosphate. NAGK is only present in microorganisms and plants but absent in mammals, which makes it an attractive target for antimicrobial or biocidal development. Understanding the substrate binding mode and reaction mechanism of NAGK is crucial for targeting the kinase to develop potential therapies. Here, the substrate binding mode was studied by comparing the conformational change of NAGK in the presence and in the absence of the NAG substrate based on molecular dynamics simulations. We revealed that with substrate binding, the catalytic site of the kinase involving three loops in NAGK exhibits a closed conformation, which is predominantly controlled by an interaction between Arg98 and the α-COO- of NAG. Lys41 is found to guide phosphate transfer through the interactions with the ß-,γ-, and γ-phosphate oxygen atoms of adenosine 5'-triphosphate surrounded by two highly conserved glycine residues (Gly44 and Gly76), while Arg98 helps to position the NAG substrate in the catalytic site, which facilitates the phosphate transfer. Furthermore, we elucidated phosphate-transfer reaction mechanism using hybrid density functional theory-based quantum mechanics/molecular mechanics calculations (B97D/AMBER99) and found that the catalysis follows a dissociative mechanism.

Evidence for intra-mitochondrial variation in population genetic structure of Platycephalus sp.1 In the Northwestern Pacific.

Understanding evolutionary dynamics of population structure and genetic diversity of marine fish species is of great importance for fishery management and resource conservation. Platycephalus sp.1 is a commercially important marine fish in the Northwestern Pacific. Yet, current understanding of population genetic patterns of Platycephalus sp.1 remains limited. In this study, the Platycephalus sp.1 individuals from four populations in the Northwestern Pacific, which cover large geographic distances and latitudinal gradients, were sampled to examine genetic diversity and population structure by investigating the mitochondrial sequences of Cytochrome b (CYTB, 1141 bp) and control region (CR, 458 bp), and then to assess intra-mitochondrial genetic variability by using a combination of population- and individual-based analytical approaches. Moderate to low levels of genetic diversity were observed in sampled populations by investigating both CR and CYTB datasets. In CR dataset, weak genetic differentiation among populations were observed and population Tokyo Bay was significantly differentiated with other sampled populations. In CYTB dataset, lower genetic differentiations were observed and population Beihai (BH) was significantly differentiated. A non-synonymous substitution was predominantly detected in population BH, and such substitution was tested as a significantly positive selective site in natural selection tests. Based on these findings, we propose that local adaptation influenced by natural selection contributes largely to the intra-mitochondrial variation in Platycephalus sp.1 populations. The present study provides new perspectives on the population genetic structure of Platycephalus sp.1, which could have important implications for the sound management and conservation of this fishery species.

NtKRP, a kinesin-12 protein, regulates embryo/seed size and seed germination via involving in cell cycle progression at the G2/M transition.

Kinesins comprise a superfamily of microtubule-based motor proteins involved in essential processes in plant development, but few kinesins have been functionally identified during seed development. Especially, few kinesins that regulate cell division during embryogenesis have been identified. Here we report the functional characterization of NtKRP, a motor protein of the kinesin-12 family. NtKRP is predominantly expressed in embryos and embryonic roots. NtKRP RNAi lines displayed reductions in cell numbers in the meristematic zone, in embryonic root length, and in mature embryo and seed sizes. Furthermore, we also show that CDKA;1 binds to NtKRP at the consensus phosphorylation sites and that the decreased cell numbers in NtKRP-silenced embryos are due to a delay in cell division cycle at the G2/M transition. In addition, binding between the cargo-binding tail domain of NtKRP and CDKA; 1 was also determined. Our results reveal a novel molecular pathway that regulates embryo/seed development and critical role of kinesin in temporal and spatial regulation of a specific issue of embryo developmental.

Phosphorylation Mechanism of Phosphomevalonate Kinase: Implications for Rational Engineering of Isoprenoid Biosynthetic Pathway Enzymes.

The mevalonate pathway is of important clinical, pharmaceutical, and biotechnological relevance. However, lack of the understanding of the phosphorylation mechanism of the kinases in this pathway has limited rationally engineering the kinases in industry. Here the phosphorylation reaction mechanism of a representative kinase in the mevalonate pathway, phosphomevalonate kinase, was studied by using molecular dynamics and hybrid QM/MM methods. We find that a conserved residue (Ser106) is reorientated to anchor ATP via a stable H-bond interaction. In addition, Ser213 located on the α-helix at the catalytic site is repositioned to further approach the substrate, facilitating the proton transfer during the phosphorylation. Furthermore, we elucidate that Lys101 functions to neutralize the negative charge developed at the ß-, γ-bridging oxygen atom of ATP during phosphoryl transfer. We demonstrate that the dissociative catalytic reaction occurs via a direct phosphorylation pathway. This is the first study on the phosphorylation mechanism of a mevalonate pathway kinase. The elucidation of the catalytic mechanism not only sheds light on the common catalytic mechanism of the GHMP kinase superfamily but also provides the structural basis for engineering the mevalonate pathway kinases to further exploit their applications in the production of a wide range of fine chemicals such as biofuels or pharmaceuticals.

Interactions between pyrazole derived enantiomers and Chiralcel OJ: Prediction of enantiomer absolute configurations and elution order by molecular dynamics simulations.

The separation of enantiomers and confirmation of their absolute configurations is significant in the development of chiral drugs. The interactions between the enantiomers of chiral pyrazole derivative and polysaccharide-based chiral stationary phase cellulose tris(4-methylbenzoate) (Chiralcel OJ) in seven solvents and under different temperature were studied using molecular dynamics simulations. The results show that solvent effect has remarkable influence on the interactions. Structure analysis discloses that the different interactions between two isomers and chiral stationary phase are dependent on the nature of solvents, which may invert the elution order. The computational method in the present study can be used to predict the elution order and the absolute configurations of enantiomers in HPLC separations and therefore would be valuable in development of chiral drugs.

α-Glucosidase inhibition and antihyperglycemic activity of flavonoids from Ampelopsis grossedentata and the flavonoid derivatives.

The dried leaves and stems of Ampelopsis grossedentata have been used as a health tea and herbal medicine for hundreds of years in China. The study was aimed at searching for novel α-glucosidase inhibitors among the richest components of A. grossedentata and their derivatives. Three known major components (1-3) were isolated by recrystallization process and six new derivatives (4-9) were obtained by etherification of the bioactive flavonoid. All compounds were evaluated for their inhibitory activities against α-glucosidase (from Saccharomyces cerevisiae). As a result, compound 9 showed a significant α-glucosidase inhibitory activity with IC50 value of 9.3 µM and acted as a competitive inhibitor with the value of the inhibition constant (Ki) being 10.3 µM. The oral administration of compound 9 at a dose of 50mg/kg significantly reduced the post prandial blood glucose levels of normal and streptozotocin (STZ)-induced diabetic mice. Furthermore, compound 9 significantly decreased the fasting blood glucose levels in STZ-induced diabetic mice.

Quantitative structure-hydrophobicity relationships of molecular fragments and beyond.

Quantitative structure-property relationship (QSPR) models were firstly established for the hydrophobic substituent constant (πX) using the theoretical descriptors derived solely from electrostatic potentials (EPSs) at the substituent atoms. The descriptors introduced are found to be related to hydrogen-bond basicity, hydrogen-bond acidity, cavity, or dipolarity/polarizability terms in linear solvation energy relationship, which endows the models good interpretability. The predictive capabilities of the models constructed were also verified by rigorous Monte Carlo cross-validation. Then, eight groups of meta- or para-disubstituted benzenes and one group of substituted pyridines were investigated. QSPR models for individual systems were achieved with the ESP-derived descriptors. Additionally, two QSPR models were also established for Rekker's fragment constants (foct), which is a secondary-treatment quantity and reflects average contribution of the fragment to logP. It has been demonstrated that the descriptors derived from ESPs at the fragments, can be well used to quantitatively express the relationship between fragment structures and their hydrophobic properties, regardless of the attached parent structure or the valence state. Finally, the relations of Hammett σ constant and ESP quantities were explored. It implies that σ and π, which are essential in classic QSAR and represent different type of contributions to biological activities, are also complementary in interaction site.

Identification of Peptide Inhibitors of Enveloped Viruses Using Support Vector Machine.

The peptides derived from envelope proteins have been shown to inhibit the protein-protein interactions in the virus membrane fusion process and thus have a great potential to be developed into effective antiviral therapies. There are three types of envelope proteins each exhibiting distinct structure folds. Although the exact fusion mechanism remains elusive, it was suggested that the three classes of viral fusion proteins share a similar mechanism of membrane fusion. The common mechanism of action makes it possible to correlate the properties of self-derived peptide inhibitors with their activities. Here we developed a support vector machine model using sequence-based statistical scores of self-derived peptide inhibitors as input features to correlate with their activities. The model displayed 92% prediction accuracy with the Matthew's correlation coefficient of 0.84, obviously superior to those using physicochemical properties and amino acid decomposition as input. The predictive support vector machine model for self- derived peptides of envelope proteins would be useful in development of antiviral peptide inhibitors targeting the virus fusion process.

Differential Roles of Phospholipase D Proteins in FcεRI-Mediated Signaling and Mast Cell Function.

Phospholipase D (PLD) proteins are enzymes that catalyze the hydrolysis of phosphatidylcholine to generate an important signaling lipid, phosphatidic acid. Phosphatidic acid is a putative second messenger implicated in the regulation of vesicular trafficking and cytoskeletal reorganization. Previous studies using inhibitors and overexpression of PLD proteins indicate that PLD1 and PLD2 play positive roles in FcεRI-mediated signaling and mast cell function. We used mice deficient in PLD1, PLD2, or both to study the function of these enzymes in mast cells. In contrast to published studies, we found that PLD1 deficiency impaired FcεRI-mediated mast cell degranulation; however, PLD2 deficiency enhanced it. Biochemical analysis showed that PLD deficiency affected activation of the PI3K pathway and RhoA. Furthermore, our data indicated that, although PLD1 deficiency impaired F-actin disassembly, PLD2 deficiency enhanced microtubule formation. Together, our results suggested that PLD1 and PLD2, two proteins that catalyze the same enzymatic reaction, regulate different steps in mast cell degranulation.