Metformin inhibits lung cancer cells proliferation through repressing microRNA-222

Metformin, which is commonly used as an oral anti-hyperglycemic agent of the biguanide family, may reduce cancer risk and improve prognosis. However, the mechanism by which metformin affects various cancers, including lung cancer, remains unknown. MiR-222 induces cell growth and cell cycle progression via direct targeting of p27, p57 and PTEN in cancer cells. In the present study, we used A549 and NCI-H358 human lung cancer cell lines to study the effects and mechanisms of metformin. Metformin treatment reduced expression of miR-222 in these cells (p < 0.05). As a result, protein abundance of p27, p57 and PTEN were increased in cells exposed to metformin. Therefore, these data provide novel evidence for a mechanism that may contribute to the anti-neoplastic effects of metformin suggested by recent population studies and justifying further work to explore potential roles for it in lung cancer treatment.     

Transforming growth factor-beta1 potentiates renal tubular epithelial cell death by a mechanism independent of Smad signaling

Tubular atrophy resulting from epithelial cell loss is one of the characteristic features in the development of chronic renal interstitial fibrosis. Although the trigger(s) and mechanism for tubular cell loss remain undefined, the hyperactive transforming growth factor (TGF)-beta1 signaling has long been suspected to play an active role. Here we demonstrate that although TGF-beta1 did not induce cell death per se, it dramatically potentiated renal tubular cell apoptosis initiated by other death cues in vitro. Pre-incubation of human kidney epithelial cells (HKC) with TGF-beta1 markedly promoted staurosporine-induced cell death in a time- and dose-dependent manner. TGF-beta1 dramatically accelerated the cleavage and activation of pro-caspase-9, but not pro-caspase-8, in HKC cells. This event was followed by an accelerated activation of pro-caspase-3. To elucidate the mechanism underlying TGF-beta1 promotion of tubular cell death, we investigated the signaling pathways activated by TGF-beta1. Both Smad-2 and p38 mitogen-activated protein (MAP) kinase were rapidly activated by TGF-beta1, as demonstrated by the early induction of phosphorylated Smad-2 and p38 MAP kinase, respectively. We found that overexpression of inhibitory Smad-7 completely abolished Smad-2 phosphorylation and activation induced by TGF-beta1 but did not inhibit TGF-beta1-induced apoptosis. However, suppression of p38 MAP kinase with chemical inhibitor SC68376 not only abolished p38 MAP kinase phosphorylation but also obliterated apoptosis induced by TGF-beta1. These results suggest that hyperactive TGF-beta1 signaling potentiates renal tubular epithelial cell apoptosis by a Smad-independent, p38 MAP kinase-dependent mechanism.     

HDX-analyzer: a novel package for statistical analysis of protein structure dynamics

BACKGROUND: HDX mass spectrometry is a powerful platform to probe protein structure dynamics during ligand binding, protein folding, enzyme catalysis, and such. HDX mass spectrometry analysis derives the protein structure dynamics based on the mass increase of a protein of which the backbone protons exchanged with solvent deuterium. Coupled with enzyme digestion and MS/MS analysis, HDX mass spectrometry can be used to study the regional dynamics of protein based on the m/z value or percentage of deuterium incorporation for the digested peptides in the HDX experiments. Various software packages have been developed to analyze HDX mass spectrometry data. Despite the progresses, proper and explicit statistical treatment is still lacking in most of the current HDX mass spectrometry software. In order to address this issue, we have developed the HDXanalyzer for the statistical analysis of HDX mass spectrometry data using R, Python, and RPY2. IMPLEMENTATION AND RESULTS: HDXanalyzer package contains three major modules, the data processing module, the statistical analysis module, and the user interface. RPY2 is employed to enable the connection of these three components, where the data processing module is implemented using Python and the statistical analysis module is implemented with R. RPY2 creates a low-level interface for R and allows the effective integration of statistical module for data processing. The data processing module generates the centroid for the peptides in form of m/z value, and the differences of centroids between the peptides derived from apo and ligand-bound protein allow us to evaluate whether the regions have significant changes in structure dynamics or not. Another option of the software is to calculate the deuterium incorporation rate for the comparison. The two types of statistical analyses are Paired Student's t-test and the linear combination of the intercept for multiple regression and ANCOVA model. The user interface is implemented with wxpython to facilitate the data visualization in graphs and the statistical analysis output presentation. In order to evaluate the software, a previously published xylanase HDX mass spectrometry analysis dataset is processed and presented. The results from the different statistical analysis methods are compared and shown to be similar. The statistical analysis results are overlaid with the three dimensional structure of the protein to highlight the regional structure dynamics changes in the xylanase enzyme. CONCLUSION: Statistical analysis provides crucial evaluation of whether a protein region is significantly protected or unprotected during the HDX mass spectrometry studies. Although there are several other available software programs to process HDX experimental data, HDXanalyzer is the first software program to offer multiple statistical methods to evaluate the changes in protein structure dynamics based on HDX mass spectrometry analysis. Moreover, the statistical analysis can be carried out for both m/z value and deuterium incorporation rate. In addition, the software package can be used for the data generated from a wide range of mass spectrometry instruments.     

Polysialylation promotes neural cell adhesion molecule-mediated cell migration in a fibroblast growth factor receptor-dependent manner, but independent of adhesion capability

Polysialic acid (PSA), a carbohydrate polymer mainly present in the neural cell adhesion molecule (NCAM), promotes neural plasticity; however, its mode of action in tumor malignancy remains largely unknown. In this study, we investigated the influence of polysialylation on cell migration. PSA consistently promoted cell migration on different extracellular matrices (ECMs) but differentially affected cell adhesion. All of these actions were reversed by endo-N-acetylneuraminidase treatment, and PSA-driven migration was inhibited by the specific fibroblast growth factor receptor (FGFR) inhibitor Su5402. Consistent with this latter observation, PSA-stimulated migration on different ECMs was paralleled by activation of the FGFR and its downstream signaling components, PLC-γ, focal adhesion kinase and extracellular signal-regulated kinase 1/2. In contrast, the pattern of p59(fyn) activation correlated with differential adhesion to different ECMs. Collectively, these results indicate that PSA-conjugated NCAM potentiates signal transduction by the FGFR pathway and thereby enhances cell migration independent of adhesion capability, providing additional insights into the role of PSA in cancer development.     

Biodegradable cross-linked poly(amino alcohol esters) based on LMW PEI for gene delivery

Polyethylenimine (PEI, especially with M(w) of 25,000) has been known as an efficient gene carrier and a gold standard of gene transfection due to its high transfection efficiency (TE). However, high concomitant cytotoxicity limited the application of PEI. In this report, several cationic polymers derived from low molecular weight (LMW) PEI (M(w) 600) linked with diglycidyl adipate (DA-PEI) or its analogs (diglycidyl succinate, DS-PEI and diglycidyl oxalate, DO-PEI; D-PEIs for all 3 polymers) were prepared and characterized. GPC gave M(w)s of DA-PEI, DS-PEI and DO-PEI as 6861, 16,015 and 35,281, respectively. Moreover, degradation of the ester-containing DS-PEI was also confirmed by GPC. In addition, hydroxyls in these polymers could improve their water solubility. These polymers exhibited good ability to condense plasmid DNA into nanoparticles with the size of 120-250 nm. ζ-potentials of the polyplexes were found to be around +10-20 mV under weight ratios (polymer/DNA) from 0.5 to 32. Agarose gel retardation showed that DNA could be released from the polyplexes after being pre-incubated for 30 h. In vitro experiments were carried out and it was found that DS-PEI showed about 5 times of TE compared to that of the PEI/DNA polyplex under a weight ratio of 1 in A549 cells. Meanwhile, the cytotoxicity of D-PEIs assayed by MTT is lower than that of 25 kDa PEI in HEK293 cells. These results suggested that this series of PEI derivatives would be promising non-viral biodegradable vectors for gene delivery.     

Prawn lipocalin: characteristics and expressional pattern in subepidermal adipose tissue during reproductive molting cycle

In crustaceans, the fascinating processes of maturation, reproductive molting and carapace coloration are regulated by hydrophobic molecules. Interestingly, most of the molecules are ligands of lipocalin. To understand the role of lipocalin in the aforementioned processes at molecular level, we isolated a cDNA that belongs to the lipocalin family, from a central nervous system cDNA library of Macrobrachium rosenbergii. We monitored the spatial and temporal distributions of the mRNA by using Northern Blotting analysis. Our results demonstrated that this gene expresses abundantly in the subepidermal adipose tissue, while faintly in the hepatopancreas and central nervous system. However, no signal was detected in other tissues including muscle, gill and ovary. Its expression levels in subepidermal adipose tissue during various stages of maturation as well as through the whole molting cycle showed that prawn lipocalin is involved in sexual maturation, as the maximal level was observed just after molt.     

Waist-to-height ratio is an accurate and easier index for evaluating obesity in children and adolescents

Objectives: The present study aims to evaluate the accuracy of the index of waist‐to‐height ratio (WHTR), and proposed the optimal thresholds of WHTR in the definition of childhood overweight and obesity in a bi‐ethnic Chinese school‐aged population. Research Methods and Procedures: Overweight and obese were identified by BMI for age and gender in a random sample including 2055 Han and 2132 Uygur ethnic school‐aged children (8 to 18 years old). WHTR was calculated by waist circumference divided by height on the basis of standard anthropometric measurements. Receiver operating characteristic (ROC) curve analyses were performed to assess the accuracy of WHTR as a diagnostic test for childhood overweight and obesity, compared with waist circumference. The optimal thresholds of WHTR for defining overweight and obesity were recommended respectively by gender. The correlation between WHTR and age was analyzed and compared with BMI. Results: A‐values (area under curve) of WHTR for diagnosing overweight and obesity were both over 0.90 in both genders and better than those of waist circumference. A threshold of 0.445 was identified for overweight in both genders, with the sensitivity and specificity >0.80. The thresholds for defining obesity was 0.485 in boys and 0.475 in girls, both having the sensitivity and specificity >0.90. WHTR showed less association with age than BMI. Conclusions: WHTR is a simple, easy, accurate, and non‐age‐dependent index with high applicability to screening overweight and obesity in children and adolescents. The use of WHTR in the general childhood population has been justified by this study.     

Analysis of metabolic flux in <Emphasis Type="Italic">Escherichia coli</Emphasis> expressing human-like collagen in fed-batch culture

Metabolic flux distributions of recombinant Escherichia coli BL21 expressing human-like collagen were determined by means of a stoichiometric network and metabolic balancing. At the batch growth stage, the fluxes of the pentose phosphate pathway were higher than the fluxes of the fed-batch growth phase and the production stage. After the temperature was increased, there was a substantially elevated energy demand for synthesizing human-like collagen and heat-shock proteins, which resulted in changes in metabolic fluxes. The activities of the Embden-Meyerhof-Parnas pathway and the tricarboxylic acid cycle were significantly enhanced, leading to a reduction in the fluxes of the pentose phosphate pathway and other anabolic pathways. The temperature upshift also caused an increase in NADPH production by isocitrate dehydrogenase in the tricarboxylic acid cycle. The metabolic model predicted the involvement of a transhydrogenase that generates additional NADH from NADPH, thereby increasing ATP regeneration in the respiratory chain. These data indicated that the maintenance energy for cellular activity increased with the increase in biomass in fed-batch culture, and that cell growth and synthesis of human-like collagen could clearly represent the changes in metabolic fluxes. At the production stage, more NADPH was used to synthesize human-like collagen than for maintaining cellular activity, cell growth, and cell propagation. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Quantitative associations between osteocyte density and biomechanics, microcrack and microstructure in OVX rats vertebral trabeculae

Osteocytes actively regulate bone modeling and remodeling, direct skeletal mineralization, and regulate calcium/phosphate homeostasis and extracellular matrix metabolism; yet the specific role of osteocytes in maintaining bone structural integrity and strength is unknown. Studies have shown that the density of osteocytes decreases with age and estrogen deficiency, as seen in postmenopausal women. Here, we examined the relationships between osteocyte density and the related variables, including biomechanics, bone mineral density, microcrack and microstructure of vertebral trabeculae, in ovariectomized rats. We found that osteocyte density correlated with some of the parameters that determine the biomechanical quality of bone. Our findings suggest that osteocytes could play a crucial role in maintaining the mechanical quality of bone, and osteocyte density could be considered as an alternative index in assessing bone quality.     

Shining light on nanotechnology to help repair and regeneration

Phototherapy can be used in two completely different but complementary therapeutic applications. While low level laser (or light) therapy (LLLT) uses red or near-infrared light alone to reduce inflammation, pain and stimulate tissue repair and regeneration, photodynamic therapy (PDT) uses the combination of light plus non-toxic dyes (called photosensitizers) to produce reactive oxygen species that can kill infectious microorganisms and cancer cells or destroy unwanted tissue (neo-vascularization in the choroid, atherosclerotic plaques in the arteries). The recent development of nanotechnology applied to medicine (nanomedicine) has opened a new front of advancement in the field of phototherapy and has provided hope for the development of nanoscale drug delivery platforms for effective killing of pathological cells and to promote repair and regeneration. Despite the well-known beneficial effects of phototherapy and nanomaterials in producing the killing of unwanted cells and promoting repair and regeneration, there are few reports that combine all three elements i.e. phototherapy, nanotechnology and, tissue repair and regeneration. However, these areas in all possible binary combinations have been addressed by many workers. The present review aims at highlighting the combined multi-model applications of phototherapy, nanotechnology and, reparative and regeneration medicine and outlines current strategies, future applications and limitations of nanoscale-assisted phototherapy for the management of cancers, microbial infections and other diseases, and to promote tissue repair and regeneration.