Friend or foe: Multiple roles of adipose tissue in cancer formation and progression

Obesity is well-known as the second factor for tumorigenesis after smoking and is bound up with the malignant progression of several kinds of cancers, including esophageal cancer, liver cancer, colorectal cancer, kidney cancer, and ovarian cancer. The increased morbidity and mortality of obesity-related cancer are mostly attributed to dysfunctional adipose tissue. The possible mechanisms connecting dysfunctional adipose tissue to high cancer risk mainly focus on chronic inflammation, obesity-related microenvironment, adipokine secretion disorder, and browning of adipose tissue, and so forth. The stromal vascular cells in adipose tissue trigger chronic inflammation through secreting inflammatory factors and promote cancer cell proliferation. Hypertrophic adipose tissues lead to metabolic disorders of adipocytes, such as abnormal levels of adipokines that mediate cancer progression and metastasis. Cancer patients often show adipose tissue browning and cancerous cachexia in an advanced stage, which lead to unsatisfied chemotherapy effect and poor prognosis. However, increasing evidence has shown that adipose tissue may display quite opposite effects in cancer development. Therefore, the interaction between cancers and adipose tissue exert a vital role in mediates adipose tissue dysfunction and further leads to cancer progression. In conclusion, targeting the dysfunction of adipose tissue provides a promising strategy for cancer prevention and therapy.     

Cofermentation of glucose, xylose, and cellobiose by the beetle-associated yeast Spathaspora passalidarum

Fermentation of cellulosic and hemicellulosic sugars from biomass could resolve food-versus-fuel conflicts inherent in the bioconversion of grains. However, the inability to coferment glucose and xylose is a major challenge to the economical use of lignocellulose as a feedstock. Simultaneous cofermentation of glucose, xylose, and cellobiose is problematic for most microbes because glucose represses utilization of the other saccharides. Surprisingly, the ascomycetous, beetle-associated yeast Spathaspora passalidarum, which ferments xylose and cellobiose natively, can also coferment these two sugars in the presence of 30 g/liter glucose. S. passalidarum simultaneously assimilates glucose and xylose aerobically, it simultaneously coferments glucose, cellobiose, and xylose with an ethanol yield of 0.42 g/g, and it has a specific ethanol production rate on xylose more than 3 times that of the corresponding rate on glucose. Moreover, an adapted strain of S. passalidarum produced 39 g/liter ethanol with a yield of 0.37 g/g sugars from a hardwood hydrolysate. Metabolome analysis of S. passalidarum before onset and during the fermentations of glucose and xylose showed that the flux of glycolytic intermediates is significantly higher on xylose than on glucose. The high affinity of its xylose reductase activities for NADH and xylose combined with allosteric activation of glycolysis probably accounts in part for its unusual capacities. These features make S. passalidarum very attractive for studying regulatory mechanisms enabling bioconversion of lignocellulosic materials by yeasts.     

High-performance liquid chromatographic determination of clindamycin in human plasma or serum: application to the bioequivalency study of clindamycin phosphate injections

This paper presents an assay of clindamycin phosphate injection in human plasma or serum. A 0.5-ml volume of plasma was used with the internal standard, propranolol. The sample was loaded onto a silica extraction column. The column was washed with deionized water and then eluted with methanol. The eluates were evaporated under nitrogen gas. The residue was reconstituted with the mobile phase and injected onto the high-performance liquid chromatographic system: a 5-μm, 25 cm×4.6 mm I.D. ODS2 column was used with acetonitrile, tetrahydrofuran and 0.05 M phosphate buffer as the mobile phase and with ultraviolet detection at 204 nm. A limit of quantitation of 0.05 μg/ml was found, with a coefficient of variation of 11.6% (n=6). The linear range is between 0.05 and 20.00 μg/ml and gives a coefficient of determination (r²) of 0.9992. The method has been successfully applied to the bioavailability study of two commercial preparations of clindamycin phosphate injection (300 mg each) in twelve healthy adult male volunteers.     

Karyotypes of Eleven Species of Triticeae in Northeast China

In this paper the karyotypes of eleven species of Triticeae from Northeast China are reported. The karyotype formulae are as follows: Agropyron cristatum, 2n=4x=28=20m+8sm; Elytrigia repens, 2n=6x=42=34m(2SAT) + 8sm; Hordeum brevisubulatum, 2n = 4x = 28 = 20m + 8sm( 4SAT ); Roegneria nakaii, 2n = 4x = 28 = 20m + 8sm( 4SAT ); R. turczaninovii var. macrathera, 2n = 4x = 28 = 20m(2SAT ) + 8sm(2SAT ); Elymus sibiricus, 2n = 4x = 28 = 20m + 8sm ( 4SAT); E. dahuricus, 2n=6x=42=32m+10sm( 6SAT); E. excelsus, 2n=6x=42=32m+10sm( 6SAT); Leymus chinensis, 2n=4x=28=20m(4SAT) + 8sm; Roegneria ciliaris, 2n = 4x = 28 = 22m( 2SAT ) + 6sm( 2SAT ); R. kamoji, 2n= 6x = 42= 30m+ 12sm(4SAT). The karyotypes of the first five species are re-ported for the first time.     

CTTNBP2, but not CTTNBP2NL,regulates dendritic spinogenesis and synaptic distribution of the striatin–PP2A complex

Cortactin-binding protein 2 (CTTNBP2) interacts with cortactin to regulate cortactin mobility and control dendritic spine formation. CTTNBP2 has also been associated with autistic spectrum disorder. The regulation of dendritic spinogenesis could explain the association of CTTNBP2 with autism. Sequence comparison has indicated that CTTNBP2 N-terminal–like protein (CTTNBP2NL) is a CTTNBP2 homologue. To confirm the specific effect of CTTNBP2 on dendritic spinogenesis, here we investigate whether CTTNBP2NL has a similar function to CTTNBP2. Although both CTTNBP2 and CTTNBP2NL interact with cortactin, CTTNBP2NL is associated with stress fibers, whereas CTTNBP2 is distributed to the cortex and intracellular puncta. We also provide evidence that CTTNBP2, but not CTTNBP2NL, is predominantly expressed in the brain. CTTNBP2NL does not show any activity in the regulation of dendritic spinogenesis. In addition to spine morphology, CTTNBP2 is also found to regulate the synaptic distribution of striatin and zinedin (the regulatory B subunits of protein phosphatase 2A [PP2A]), which interact with CTTNBP2NL in HEK293 cells. The association between CTTNBP2 and striatin/zinedin suggests that CTTNBP2 targets the PP2A complex to dendritic spines. Thus we propose that the interactions of CTTNBP2 and cortactin and the PP2A complex regulate spine morphogenesis and synaptic signaling.     

Identification of the active conformation and the importance of length of the flexible loop 72-83 in regulating the conformational change of undecaprenyl pyrophosphate synthase

Increasing evidence has shown that intrinsic disorder of proteins plays a key role in their biological functions. In the case of undecaprenyl pyrophosphate synthase (UPPs), which catalyzes the chain elongation of farnesyl pyrophosphate (FPP) to undecaprenyl pyrophosphate via eight consecutive condensation reactions with isopentenyl pyrophosphate, a highly flexible loop 72-83 was previously linked to protein conformational change required for catalysis [Chen, Y. H., Chen, A. P.-C., Chen, C. T., Wang, A. H.-J., and Liang, P. H., (2002) J. Biol. Chem. 277, 7369-7376]. The crystal structure and fluorescence studies suggested that the alpha3 helix connected to the loop moves toward the active site when the substrate is bound. To identify the active conformation and study the role of the loop for conformational change, the UPPs mutants with amino acids inserted into or deleted from the loop were examined. The inserted mutant with extra Ala residues fails to display the intrinsic fluorescence quenching upon FPP binding, and its crystal structure reveals only the open form. These phenomena appear to be different from the wild-type enzyme in which open and closed conformers were observed and suggest that the extended loop fails to pull the alpha3 helix and/or the extra amino acids in the loop cause steric hindrance on the alpha3 helix movement. The loop-shortening mutants with deletion of V82 and S83 or S72 also adopt an open conformation with the loop stretched, although they show decreased intrinsic fluorescence with FPP bound, similar to that seen in the wild-type enzyme. We conclude that the closed conformation is apparently the active conformation. Change of the length of the loop 72-83 impairs the ability of conformational change and causes remarkably lower activity of UPPs.     

Effective binding to protein antigens by antibodies from antibody libraries designed with enhanced protein recognition propensities

Antibodies provide immune protection by recognizing antigens of diverse chemical properties, but elucidating the amino acid sequence-function relationships underlying the specificity and affinity of antibody-antigen interactions remains challenging. We designed and constructed phage-displayed synthetic antibody libraries with enriched protein antigen-recognition propensities calculated with machine learning predictors, which indicated that the designed single-chain variable fragment variants were encoded with enhanced distributions of complementarity-determining region (CDR) hot spot residues with high protein antigen recognition propensities in comparison with those in the human antibody germline sequences. Antibodies derived directly from the synthetic antibody libraries, without affinity maturation cycles comparable to those in in vivo immune systems, bound to the corresponding protein antigen through diverse conformational or linear epitopes with specificity and affinity comparable to those of the affinity-matured antibodies from in vivo immune systems. The results indicated that more densely populated CDR hot spot residues were sustainable by the antibody structural frameworks and could be accompanied by enhanced functionalities in recognizing protein antigens. Our study results suggest that synthetic antibody libraries, which are not limited by the sequences found in antibodies in nature, could be designed with the guidance of the computational machine learning algorithms that are programmed to predict interaction propensities to molecules of diverse chemical properties, leading to antibodies with optimal characteristics pertinent to their medical applications.