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Graphical abstract, Highlights • SAMiRNA-AREG is a modified siRNA nanoparticle for treatment of pulmonary fibrosis. • Safety pharmacology of SAMiRNA-AREG was evaluated using core battery studies. • No adverse effects on the neurobehavior, respiratory, and cardiovascular systems. • These data provide important safety data for clinical trials in humans., The present safety pharmacology core battery studies (neurobehavior, respiratory, cardiovascular system, and human ether a-go-go (hERG) channel current) investigated the potential harmful effects of self-assembled-micelle inhibitory RNA-targeting amphiregulin (SAMiRNA-AREG). The SAMiRNA-AREG was administered by single intravenous injection at up to 300 mg/kg and 100 mg/kg in mice and monkeys, respectively. The hERG assay was performed in Chinese hamster ovary (CHO) cells at SAMiRNA-AREG concentrations of up to 200 μg/mL. In the evaluation on neurobehavior, a transient decrease in body temperature was found at 0.5 h (30 min) post-dose at both sexes in mice, with a single 300 mg/kg dose of SAMiRNA-AREG. However, these effects had returned to normal at 1 h post-dose. In the evaluation on hERG channel current, there were statistically significant differences in the inhibition of peak hERG potassium channel current between the 20, 100, and 200 μg/mL SAMiRNA-AREG treatment groups and the vehicle control group. However, these effects were less potent than that of E-4031, a positive control article. For the respiratory and cardiovascular systems, no treatment-related changes were observed in mice or monkeys. Thus, under these experimental conditions, these studies suggest that SAMiRNA-AREG showed no adverse effects on the neurobehavior, respiratory, and cardiovascular function.

Amphiregulin (AREG) is a transmembrane glycoprotein recently implicated in kidney fibrosis. Previously, we reported that the AREG-targeting Self-Assembled-Micelle inhibitory RNA (SAMiRNA-AREG) alleviated fibrosis by stably silencing the AREG gene, and reduced the side effects of conventional siRNA treatment of pulmonary fibrosis. However, the therapeutic effect of SAMiRNA-AREG in renal fibrosis has not been studied until now. We used two animal models of renal fibrosis generated by a unilateral ureteral obstruction (UUO) and an adenine diet (AD) to investigate whether SAMiRNA-AREG inhibited renal fibrosis. To investigate the delivery of SAMiRNA-AREG to the kidney, Cy5-labeled SAMiRNA-AREG was injected into UUO- and AD-induced renal fibrosis models. In both kidney disease models, SAMiRNA-AREG was delivered primarily to the damaged kidney. We also confirmed the protective effect of SAMiRNA-AREG in renal fibrosis models. SAMiRNA-AREG markedly decreased the UUO- and AD-induced AREG mRNA expression. Furthermore, the mRNA expression of fibrosis markers, including α-smooth muscle actin, fibronectin, α1(I) collagen, and α1(III) collagen in the UUO and AD-induced kidneys, was diminished in the SAMiRNA-AREG-treated mice. The transcription of inflammatory markers (tumor necrosis factor-α and monocyte chemoattractant protein-1) and adhesion markers (vascular cell adhesion molecule 1 and intercellular adhesion molecule 1) was attenuated. The hematoxylin and eosin, Masson’s trichrome, and immunohistochemical staining results showed that SAMiRNA-AREG decreased renal fibrosis, AREG expression, and epidermal growth factor receptor (EGFR) phosphorylation in the UUO- and AD-induced models. Moreover, we studied the effects of SAMiRNA-AREG in response to TGF-β1 in mouse and human proximal tubule cells, and mouse fibroblasts. TGF-β1-induced extracellular matrix production and myofibroblast differentiation were attenuated by SAMiRNA-AREG. Finally, we confirmed that upregulated AREG in the UUO or AD models was mainly localized in the distal tubules. In conclusion, SAMiRNA-AREG represents a novel siRNA therapeutic for renal fibrosis by suppressing EGFR signals.

We explored gender differences in the characteristics and outcomes of patients with out-of-hospital cardiac arrest (OHCA) in Korea.We retrospectively analyzed a nationwide multicenter registry of out-of-hospital cardiac arrest patients that prospectively collected from January to December 2014, and explored the clinical outcomes of 670 successfully resuscitated adult patients with OHCA who were transferred to 27 hospitals. The effect of gender on the 30-day neurologically favorable survival (cerebral performance category 1 or 2) was analyzed after propensity score matching (PSM) of each patient in terms of clinical characteristics.We included 670 patients with OHCA, of whom 482 (72%) were male and 182 (28%) were female. The frequency of witnessed arrests and proportion of home arrests were similar between men and women (73.7% vs 71.3%, P = .59, and 55.0% vs 60.6% P = .21, respectively). Women were older than men (mean age, 65.9 vs 59.7 years, P .001) and less likely to present with an initial shockable rhythm (27.7% vs 45.0%, P .001). Women were less likely to undergo targeted temperature management (19.1% vs 35.9%, P .001), coronary angiography (14.9% vs 36.1%, P .001), or revascularization (7.4% vs 19.3%, P .001). Compared with men, women exhibited poorer 30-day neurologically favorable survival (69.7% vs 83.0%, P = .001). However, the gender difference was not significant on PSM or inverse probability of treatment weighting (IPTW) analyses (P = .48 and P = .63, respectively).Female patients with OHCA exhibited poorer clinical characteristics and were less likely to receive treatment than men. After accounting for these differences, clinical outcomes did not differ by gender.

Microenvironment, such as hypoxia common to cancer, plays a critical role in the epithelial‐to‐mesenchymal transition (EMT) program, which is a major route of cancer metastasis and confers γ‐radiation resistance to cells. Herein, we showed that transgelin 2 (TAGLN2), an actin‐binding protein, is significantly induced in hypoxic lung cancer cells and that Snail1 is simultaneously increased, which induces EMT by downregulating E‐cadherin expression. Forced TAGLN2 expression induced severe cell death; however, a small population of cells surviving after forced TAGLN2 overexpression showed γ‐radiation resistance, which might promote tumor relapse and recurrence. These surviving cells showed high metastatic activity with an increase of EMT markers including Snail1. In these cells, TAGLN2 activated the insulin‐like growth factor 1 receptor β (IGF1Rβ)/PI3K/AKT pathway by recruitment of focal adhesion kinase to the IGF1R signaling complex. Activation of the IGF1Rβ/PI3K/AKT pathway also induced inactivation of glycogen synthase kinase 3β (GSK3β), which is involved in Snail1 stabilization. Therefore, both the IGF1Rβ inhibitor (AG1024) and the PI3K inhibitor (LY294002) or AKT inactivation with MK2206 lower the cellular level of Snail1. Involvement of GSK3β was also confirmed by treatment with lithium chloride, the inducer of GSK3β phosphorylation, or MG132, the 26S proteasomal inhibitor, which also stabilized Snail1. In conclusion, the present study provides important evidence that hypoxia‐inducible TAGLN2 is involved in the selection of cancer cells with enhanced EMT properties to overcome the detrimental environment of cancer cells.

The polyurethane foam (PUF) is one of the most widely used composite materials in industrial and biomedical fields. It is frequently adopted in a wide range of environmental conditions, i.e., from static to dynamic compressive loads, and from cryogenic to high temperatures. Under these various environments, the PUF shows an elasto-viscoplastic behavior including three stages of material characteristics, namely, linear elasticity, a plateau with stress drop, and densification. Hence, the establishment of material model as well as the identification of material characteristics is the key of design and fabrication for PUF-based structures. In the present study, the strain rate- and the temperature-dependent elasto-viscoplastic behavior of polyurethane foam (PUF) which is extensively used in various fields and environments was computationally estimated under static/dynamic compression and the low/high temperature. To depict the three stages of material characteristics such as linear elasticity, a plateau with stress drop, and densification under uniaxial compression numerically, a Frank-Brockman type plastic multiplier and a Zairi type hardening-softening internal stress state variable were introduced. Then, the constitutive model was transformed as an implicit form using algorithmic tangential stiffness (ATS) method and was programmed as a user-defined material subroutine of commercial finite element analysis (FEA) code, namely, ABAQUS UMAT. Through the developed material subroutine, the strain rate- and the temperature-dependent static and dynamic stress-strain behaviors were numerically assessed. In addition, the change of material constants such as elastic modulus, yield stress, and hardening and softening control parameters was investigated quantitatively, and the polynomial multiple regression models were suggested. Consequently, the calculated results considerably correspond to experimental results, and through some supplements, accuracy can be improved. On using the proposed numerical method with some revision, it might be possible to anticipate the nonlinear behavior of the unknown material in various strain rate and temperature environment.

Background The analysis of integrated multi-omics data enables the identification of disease-related biomarkers that cannot be identified from a single omics profile. Although protein-level data reflects the cellular status of cancer tissue more directly than gene-level data, past studies have mainly focused on multi-omics integration using gene-level data as opposed to protein-level data. However, the use of protein-level data (such as mass spectrometry) in multi-omics integration has some limitations. For example, the correlation between the characteristics of gene-level data (such as mRNA) and protein-level data is weak, and it is difficult to detect low-abundance signaling proteins that are used to target cancer. The reverse phase protein array (RPPA) is a highly sensitive antibody-based quantification method for signaling proteins. However, the number of protein features in RPPA data is extremely low compared to the number of gene features in gene-level data. In this study, we present a new method for integrating RPPA profiles with RNA-Seq and DNA methylation profiles for survival prediction based on the integrative directed random walk (iDRW) framework proposed in our previous study. In the iDRW framework, each omics profile is merged into a single pathway profile that reflects the topological information of the pathway. In order to address the sparsity of RPPA profiles, we employ the random walk with restart (RWR) approach on the pathway network. Results Our model was validated using survival prediction analysis for a breast cancer dataset from The Cancer Genome Atlas. Our proposed model exhibited improved performance compared with other methods that utilize pathway information and also out-performed models that did not include the RPPA data utilized in our study. The risk pathways identified for breast cancer in this study were closely related to well-known breast cancer risk pathways. Conclusions Our results indicated that RPPA data is useful for survival prediction for breast cancer patients under our framework. We also observed that iDRW effectively integrates RNA-Seq, DNA methylation, and RPPA profiles, while variation in the composition of the omics data can affect both prediction performance and risk pathway identification. These results suggest that omics data composition is a critical parameter for iDRW. Electronic supplementary material The online version of this article (10.1186/s12920-019-0511-x) contains supplementary material, which is available to authorized users.

Background Integrative analysis on multi-omics data has gained much attention recently. To investigate the interactive effect of gene expression and DNA methylation on cancer, we propose a directed random walk-based approach on an integrated gene-gene graph that is guided by pathway information. Methods Our approach first extracts a single pathway profile matrix out of the gene expression and DNA methylation data by performing the random walk over the integrated graph. We then apply a denoising autoencoder to the pathway profile to further identify important pathway features and genes. The extracted features are validated in the survival prediction task for breast cancer patients. Results The results show that the proposed method substantially improves the survival prediction performance compared to that of other pathway-based prediction methods, revealing that the combined effect of gene expression and methylation data is well reflected in the integrated gene-gene graph combined with pathway information. Furthermore, we show that our joint analysis on the methylation features and gene expression profile identifies cancer-specific pathways with genes related to breast cancer. Conclusions In this study, we proposed a DRW-based method on an integrated gene-gene graph with expression and methylation profiles in order to utilize the interactions between them. The results showed that the constructed integrated gene-gene graph can successfully reflect the combined effect of methylation features on gene expression profiles. We also found that the selected features by DA can effectively extract topologically important pathways and genes specifically related to breast cancer.

This paper addresses the system lifetime maximization algorithm in multi-hop sensor network system. A multi-hop sensor network consists of many battery-driven sensor nodes that collaborate with each other to gather, process, and communicate information using wireless communications. As sensor-driven applications become increasingly integrated into our lives, we propose a energy-aware scheme where each sensor node transmits informative data with adaptive data rate to minimize system energy consumption. We show the optimal data rate to maximize the system lifetime in terms of remaining system energy. Furthermore, the proposed algorithm experimentally shows longer system lifetime in comparison with greedy algorithm.

Chemo- or radiation-resistance in tumors caused by hypoxia often undermines efficacy of cancer therapy. Thus, therapies that overcome cellular resistance during hypoxia are necessary. SM22α is an actin-binding protein found in smooth muscle, fibroblasts, and some epithelium. We demonstrate that SM22α is induced in A549 non-small cell lung carcinoma cells by hypoxia and its overexpression increased chemo- and radiation-resistance. Hypoxia-mediated induction of SM22α expression is hypoxia-inducible factor-independent. Moreover, SM22α overexpression enhances tumor cell growth and activates the IGF1R/PI3K/Akt pathway via direct interaction with IGF1Rβ. Our results suggest SM22α as a novel regulator of hypoxic survival pathway of A549 NSCLC cells.Structured summary of protein interactionsIGFR1 Beta physically interacts with SM22 alpha by anti bait coimmunoprecipitation (View Interaction: 1, 2)

Fibulin-3, an extracellular glycoprotein, has been suggested as having functions in tissue regeneration and organogenesis. However, its role in cancer remains unclear. We show here that fibulin-3 was silenced by hypermethylation of the promoter region in the relatively invasive A549 non-small cell lung cancer (NSCLC) cells compared with less invasive H460 NSCLC cells. Enforced expression of fibulin-3 in A549 cells down-regulated cellular MMP-7 and MMP-2, which was followed by inhibition of cell invasiveness. Conversely, suppression of fibulin-3 expression with siRNA in H460 cells showed the opposite effect. These results indicate that fibulin-3 is a negative regulator of invasiveness in NSCLC and further studies are needed for its therapeutic applications in treatment of NSCLC.

The CD53 antigen is a member of the tetraspanin membrane protein family that is expressed in the lymphoid-myeloid lineage. Its biological role remains unknown. Using microarrays, we identified CD53 as one of the principal genes up-regulated by exposure of macrophages to LPS. Northern blot analysis confirmed the induction of CD53 in RAW264.7 macrophages treated with LPS or SNAP (a nitric oxide donor). Cells stably transfected with sense CD53 cDNA had increased levels of intracellular GSH and lower levels of peroxide, and were more resistant to H2O2 and to UVB irradiation. Cells harboring antisense CD53 had the opposite properties. We propose that the induction of CD53 is a major mechanism by which macrophages protect themselves against LPS-induced oxidative stress and UVB irradiation.

Smooth muscle protein 22-alpha (SM22alpha) has been postulated to affect the structure and function of the actin filament. In this study, we report on the significant induction of SM22alpha by cytotoxic agents in HepG2 cells. SM22alpha-overexpression inhibited the activation of IGF-1Rbeta/Akt and Erk, consequently suppressing cell proliferation. On the other hand, SM22alpha-overexpressing cells became resistant to apoptotic cell death caused by cytotoxic agents, in which metallothionein (MT) isoforms, especially MT1G, were significantly induced. MT1G-overexpression also conferred cellular resistance, and SM22alpha regulated the expression of MT1G at a transcriptional level. This study provides the first demonstration of SM22alpha-induced blockage of cell proliferation and cellular resistance to overcome the detrimental effects of damaging agents.