Development of miRNA-based PROTACs targeting Lin28 for breast cancer therapy.

Lin28, a highly conserved carcinogenic protein, plays an important role in the generation of cancer stem cells, contributing to the unfavorable prognosis of cancer patients. This RNA binding protein specifically binds to pri/pre-microRNA (miRNA) lethal-7 (let-7), impeding its miRNA maturation. The reduced expression of tumor suppressor miRNA let-7 fosters development and progression-related traits such as proliferation, invasion, metastasis, and drug resistance. We report a series of miRNA-based Lin28A-miRNA proteolysis-targeting chimeras (Lin28A-miRNA-PROTACs) designed to efficiently degrade Lin28A through a ubiquitin-proteasome-dependent mechanism, resulting in up-regulation of mature let-7 family. The augmented levels of matured let-7 miRNAs further exert inhibitory effects on cancer cell proliferation and migration, and increase its sensitivity to chemotherapy. In a mouse ectopic tumor model, Lin28A-miRNA-PROTAC demonstrates a substantial efficacy in inhibiting tumor growth. When combined with tamoxifen, the tumors exhibit gradual regression. This study displays an effective miRNA-based PROTACs to degrade Lin28A and inhibit tumor growth, providing a promising therapeutic avenue for cancer treatment with miRNA-based therapy.

Protein-coding circular RNA enhances antiviral immunity via JAK/STAT pathway in Drosophila.

RNA interference (RNAi) drives powerful antiviral immunity in plants and animals so that many viruses must express viral suppressor of RNAi (VSR) to establish virulent infection. However, little is known about the immune responses conferring resistance against viruses that have evolved the counter-defensive strategy to suppress antiviral RNAi. In this study, we discover that Drosophila cells infected with Drosophila C virus (DCV), a natural viral pathogen of Drosophila known to harbor a potent VSR, exhibit heightened expression of circular RNA circZfh1. circZfh1 confers virus resistance in the presence of viral suppression of antiviral RNAi. Furthermore, we validate that circZfh1 encodes a 274-amino acid protein, CRAV, essential for its antiviral activity. Notably, CRAV differs from its parental Zfh1 gene in a different reading frame, with the C-terminal 69 amino acids unique to CRAV. Our analysis also reveals the presence of CRAV in species within the melanogaster subgroup, with the C-terminal unique fragment undergoing accelerated evolution. Expression of CRAV upregulates the expression of the cytokine Upd3, which binds to its receptor, stimulating the JAK-STAT pathway and enhancing the immune response to DCV infection. Notably, CRISPR/Cas9 knockout of circZfh1 significantly enhances DCV replication in vitro and in vivo, with circZfh1-knockout adult flies displaying heightened disease susceptibility to DCV. In summary, our findings unveil a Drosophila protein-coding circular RNA that activates an innate immune signaling pathway crucial for virus resistance following the suppression of antiviral RNAi by viruses, thereby elucidating a novel counter-defensive strategy.IMPORTANCEEukaryotic hosts possess a complex, multilayered immune system that guards against pathogen invasion. In fruit flies, RNA interference (RNAi) drives robust antiviral immunity, prompting many viruses to express viral suppressors of RNAi (VSRs) to establish virulent infections. However, little is known about immune responses that confer resistance against viruses with potent VSRs. In this study, we discovered that Drosophila cells infected with Drosophila C virus (DCV), a natural viral pathogen possessing a potent VSR, upregulated the expression of circular RNA circZfh1. circZfh1 exhibits DCV-specific antiviral activity, encoding a 274-amino acid protein, CRAV, crucial for its antiviral effects. As a different reading frame from its parental Zfh1 gene, the C-terminal 69 amino acids are unique to CRAV, undergoing faster evolution. CRAV activates the JAK-STAT pathway, enhancing the immune response to DCV infection. Therefore, our work uncovers a new strategy for suppressing viral counter-defense through protein-coding circular RNA in fruit flies.

α-Ketoglutarate plays an inflammatory inhibitory role by regulating scavenger receptor class a expression through N6-methyladenine methylation during sepsis.

Sepsis arises from an uncontrolled inflammatory response triggered by infection or stress, accompanied by alteration in cellular energy metabolism, and a strong correlation exists between these factors. Alpha-ketoglutarate (α-KG), an intermediate product of the TCA cycle, has the potential to modulate the inflammatory response and is considered a crucial link between energy metabolism and inflammation. The scavenger receptor (SR-A5), a significant pattern recognition receptor, assumes a vital function in anti-inflammatory reactions. In the current investigation, we have successfully illustrated the ability of α-KG to mitigate inflammatory factors in the serum of septic mice and ameliorate tissue damage. Additionally, α-KG has been shown to modulate metabolic reprogramming and macrophage polarization. Moreover, our findings indicate that the regulatory influence of α-KG on sepsis is mediated through SR-A5. We also elucidated the mechanism by which α-KG regulates SR-A5 expression and found that α-KG reduced the N6-methyladenosine level of macrophages by up-regulating the m6A demethylase ALKBH5. α-KG plays a crucial role in inhibiting inflammation by regulating SR-A5 expression through m6A demethylation during sepsis. The outcomes of this research provide valuable insights into the relationship between energy metabolism and inflammation regulation, as well as the underlying molecular regulatory mechanism.

Regulation of ubiquitination and antiviral activity of Cactin by deubiquitinase Usp14 in Drosophila.

Cactin, a highly conserved protein, plays a crucial role in various physiological processes in eukaryotes, including innate immunity. Recently, the function of Cactin in the innate immunity of Drosophila has been explored, revealing that Cactin regulates a non-canonical signaling pathway associated with the Toll and Imd pathways via the Cactin-Deaf1 axis. In addition, Cactin exhibits specific antiviral activity against the Drosophila C virus (DCV) in Drosophila, with an unknown mechanism. During DCV infection, it has been confirmed that the protein level and antiviral activity of Cactin are regulated by ubiquitination. However, the precise ubiquitination and deubiquitination mechanisms of Cactin in Drosophila remain unexplored. In this study, we identified ubiquitin-specific protease 14 (Usp14) as a major deubiquitinase for Cactin through comprehensive deubiquitinase screening. Our results demonstrate that Usp14 interacts with the C_Cactus domain of Cactin via its USP domain. Usp14 efficiently removes K48- and K63-linked polyubiquitin chains from Cactin, thereby preventing its degradation through the ubiquitin-proteasome pathway. Usp14 significantly inhibits DCV replication in Drosophila cells by stabilizing Cactin. Moreover, Usp14-deficient fruit flies exhibit increased susceptibility to DCV infection compared to wild-type flies. Collectively, our findings reveal the regulation of ubiquitination and antiviral activity of Cactin by the deubiquitinase Usp14, providing valuable insights into the modulation of Cactin-mediated antiviral activity in Drosophila.IMPORTANCEViral infections pose a severe threat to human health, marked by high pathogenicity and mortality rates. Innate antiviral pathways, such as Toll, Imd, and JAK-STAT, are generally conserved across insects and mammals. Recently, the multi-functionality of Cactin in innate immunity has been identified in Drosophila. In addition to regulating a non-canonical signaling pathway through the Cactin-Deaf1 axis, Cactin exhibits specialized antiviral activity against the Drosophila C virus (DCV) with an unknown mechanism. A previous study emphasized the significance of the Cactin level, regulated by the ubiquitin-proteasome pathway, in modulating antiviral signaling. However, the regulatory mechanisms governing Cactin remain unexplored. In this study, we demonstrate that Usp14 stabilizes Cactin by preventing its ubiquitination and subsequent degradation. Furthermore, Usp14 plays a crucial role in regulating the antiviral function mediated by Cactin. Therefore, our findings elucidate the regulatory mechanism of Cactin in Drosophila, offering a potential target for the prevention and treatment of viral infections.

Induced Self-Assembly of Vitamin E-Spermine/siRNA Nanocomplexes via Spermine/Helix Groove-Specific Interaction for Efficient siRNA Delivery and Antitumor Therapy.

Gene therapy has been one of potential strategies for the treatment of different diseases, where efficient and safe gene delivery systems are also extremely in need. Current lipid nanoparticles (LNP) technology highly depends on the packing and condensation of nucleic acids with amine moieties. Here, an attempt to covalently link two natural compounds, spermine and vitamin E, is made to develop self-assembled nucleic acid delivery systems. Among them, the spermine moieties specifically interact with the major groove of siRNA helix through salt bridge interaction, while vitamin E moieties are located around siRNA duplex. Such amphiphilic vitamin E-spermine/siRNA complexes can further self-assemble into nanocomplexes like multiblade wheels. Further studies indicate that these siRNA nanocomplexes with the neutrally charged surface of vitamin E can enter cells via caveolin/lipid raft mediated endocytosis pathway and bypass lysosome trapping. With these self-assembled delivery systems, efficient siRNA delivery is successfully achieved for Eg5 and Survivin gene silencing as well as DNA plasmid delivery. Further in vivo study indicates that VE-Su-Sper/DSPE-PEG2000/siSurvivin self-assembled nanocomplexes can accumulate in cancer cells and gradually release siRNA in tumor tissues and show significant antitumor effect in vivo. The self-assembled delivery system provides a novel strategy for highly efficient siRNA delivery.

Chromosome-level genome assembly and population genomic analysis provide novel insights into the immunity and evolution of Sogatella furcifera.

Sogatella furcifera is a destructive agricultural pest causing large threats to rice production in China and Southeast Asian countries. Despite recent breakthroughs in long-read sequencing, high quality genomic data are very limited in S. furcifera. In present study, a chromosome-level assembly of the S. furcifera genome was completed (0.64 GB), comprising 15 chromosomes covered 95.04% of the estimated genome size, along with other 624 small scaffolds making up the remaining 4.96% of the genome of S. furcifera. A total of 24,669 protein-coding genes, 1211 long noncoding RNA and 7595 circular RNA transcripts were predicted in this study. Comparative genomic analysis revealed rapidly evolved genes were associated with multiple immune-related pathways in S. furcifera. Genome resequencing of 44 individuals from 12 geographic populations revealed frequent gene flow among populations. The systemic genomic analysis will provide more insights into the understanding of the immunity and evolutionary adaptation of S. furcifera.

Praeruptorin A inhibits the activation of NF-κB pathway and the expressions of inflammatory factors in poly (I:C)-induced RAW264.7 cells.

Praeruptorin A (PA), a natural coumarin compound, has significant anti-inflammatory effects. In this study, we evaluate the anti-inflammatory effect of PA on RAW 264.7 mouse macrophages induced by Polyinosinic acid-polycytidylic acid (poly (I:C)). RAW 264.7 mouse macrophages induced by poly (I:C) were treated with or without PA, the viability of which was determined to screen working solution of PA. RNA-sequencing was applied to analyze the differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were carried out. The expressions of interleukin (IL)-1ß, heme oxygenase 1 (HMOX1), prostaglandin-endoperoxide synthase 2 (PTGS2), ATP binding cassette subfamily A member 1 (Abca1) and NF-κB-related proteins were measured by enzyme-linked immunosorbent assay (ELISA), quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blot. As a result, PA at 1, 2, 3, 4 and 5 µM slightly affected cell viability, while PA at 6 and 7 µM significantly inhibited cell viability. GO and KEGG analysis results revealed that DEGs were mainly enriched in the pathways related to inflammatory signaling. Through further analysis, we obtained five possible targets of PA, and verified that PA inhibited the expressions of IL-1ß, HMOX1, PTGS2 and Abca1 as well as the activation of NF-κB pathway in poly (I:C)-induced RAW264.7 cells. To summarize, PA may inhibit expressions of the inflammation-related genes in poly (I:C)-induced RAW264.7 cells, which demonstrates its potential as a drug against virus related diseases.

MAPK4 silencing in gastric cancer drives liver metastasis by positive feedback between cancer cells and macrophages.

Liver metastasis is a major cause of death in gastric cancer patients, but the underlying mechanisms are poorly understood. Through a combination of in vivo screening and transcriptome profiling followed by quantitative RT-PCR and tissue array analyses, we found that mitogen-activated protein kinase 4 (MAPK4) downregulation in gastric cancer tissues from patients is significantly associated with liver metastasis and poor prognosis. The knockdown of MAPK4 in gastric cancer cells promotes liver metastasis in orthotopic mouse models. MAPK4 depletion in gastric cancer cells induces the secretion of macrophage migration inhibitory factor (MIF) to polarize tumor-associated macrophages (TAMs) in orthotopic xenograft tumors. Moreover, TAMs activate epithelial-mesenchymal transition of gastric cancer cells to suppress MAPK4 expression, which further increases MIF secretion to polarize TAMs. Taken together, our results suggest a previously undescribed positive feedback loop between cancer cells and macrophages mediated by MAPK4 silencing that facilitates gastric cancer liver metastasis.

Deciphering the Genetic Basis of Silkworm Cocoon Colors Provides New Insights into Biological Coloration and Phenotypic Diversification.

The genetic basis of phenotypic variation is a long-standing concern of evolutionary biology. Coloration has proven to be a visual, easily quantifiable, and highly tractable system for genetic analysis and is an ever-evolving focus of biological research. Compared with the homogenized brown-yellow cocoons of wild silkworms, the cocoons of domestic silkworms are spectacularly diverse in color, such as white, green, and yellow-red; this provides an outstanding model for exploring the phenotypic diversification and biological coloration. Herein, the molecular mechanism underlying silkworm green cocoon formation was investigated, which was not fully understood. We demonstrated that five of the seven members of a sugar transporter gene cluster were specifically duplicated in the Bombycidae and evolved new spatial expression patterns predominantly expressed in silk glands, accompanying complementary temporal expression; they synergistically facilitate the uptake of flavonoids, thus determining the green cocoon. Subsequently, polymorphic cocoon coloring landscape involving multiple loci and the evolution of cocoon color from wild to domestic silkworms were analyzed based on the pan-genome sequencing data. It was found that cocoon coloration involved epistatic interaction between loci; all the identified cocoon color-related loci existed in wild silkworms; the genetic segregation, recombination, and variation of these loci shaped the multicolored cocoons of domestic silkworms. This study revealed a new mechanism for flavonoids-based biological coloration that highlights the crucial role of gene duplication followed by functional diversification in acquiring new genetic functions; furthermore, the results in this work provide insight into phenotypic innovation during domestication.

Layout Comparison and Parameter Optimization of Supercritical Carbon Dioxide Coal-Fired Power Generation Systems under Environmental and Economic Objectives.

In the current studies, the supercritical carbon dioxide coal-fired power generation systems show efficiency and cost advantages over the traditional steam-based power systems. However, few studies have considered simultaneously environmental and economic objectives in the multi-objective analysis process. This study conducts a layout comparison and parameter optimization of the systems under the above two objectives. Initially, the thermodynamic, environmental, and economic models of the systems are established. Subsequently, the optimal layout is determined by the two-stage layout comparison. Further, multi-objective optimization is performed for the selected layout, and the optimal design parameters are determined by the decision process. Finally, the sensitivities of three selected parameters to the optimization results are analyzed. The results show that the basic layout coupled with overlap and intercooling schemes is optimal. Its ultimate environmental impact (UEI) and levelized cost of electricity (LCOE) are 219.8 kp-eq and 56.9 USD/MWh, respectively. The two objectives UEI and LCOE are conflicting. Based on a trade-off between them, the maximum temperature/pressure of the system is determined to be 635.3 °C/30.1 MPa. The coal price per unit of heat shows the highest sensitivity, and the pinch temperature difference of the recuperator shows opposite sensitivities at the UEI below 218 kp-eq and above 223 kp-eq.

Dimethyl itaconate alleviates the pyroptosis of macrophages through oxidative stress.

Macrophages are involved in the pathophysiology of many diseases as critical cells of the innate immune system. Pyroptosis is a form of macrophage death that induces cytokinesis of phagocytic substances in the macrophages, thereby defending against infection. Dimethyl itaconate (DI) is an analog of itaconic acid with anti-inflammatory effects. However, the effect of dimethyl itaconate on macrophage pyroptosis has not been elucidated clearly. Thus, the present study aimed to analyze the effect of DI treatment on a macrophage pyroptosis model (Lipopolysaccharide, LPS + Adenosine Triphosphate, ATP). The results showed that 0.25 mM DI ameliorated macrophage pyroptosis and downregulated interleukin (IL)-1ß expression. Then, real-time quantitative polymerase chain reaction (RT-qPCR) was used to confirm the result of RNA-sequencing of the upregulated oxidative stress-related genes (Gclc and Gss) and downregulated inflammation-related genes (IL-12ß and IL-1ß). In addition, Gene Ontology (GO) enrichment analysis showed that differential genes were associated with transcript levels and DNA replication. Kyoto encyclopedia of genes and genomes (KEGG) enrichment showed that signaling pathways, such as tumor necrosis factor (TNF), Jak, Toll-like receptor and IL-17, were altered after DI treatment. N-acetyl-L-cysteine (NAC) reversed the DI effect on the LPS + ATP-induced macrophage pyroptosis and upregulated the IL-1ß expression. Oxidative stress-related protein Nrf2 is involved in the DI regulation of macrophage pyroptosis. Taken together, these findings suggested that DI alleviates the pyroptosis of macrophages through oxidative stress.

Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning.

Mental health prediction is one of the most essential parts of reducing the probability of serious mental illness. Meanwhile, mental health prediction can provide a theoretical basis for public health department to work out psychological intervention plans for medical workers. The purpose of this paper is to predict mental health of medical workers based on machine learning by 32 factors. We collected the 32 factors of 5,108 Chinese medical workers through questionnaire survey, and the results of Self-reporting Inventory was applied to characterize mental health. In this study, we propose a novel prediction model based on optimization algorithm and neural network, which can select and rank the most important factors that affect mental health of medical workers. Besides, we use stepwise logistic regression, binary bat algorithm, hybrid improved dragonfly algorithm and the proposed prediction model to predict mental health of medical workers. The results show that the prediction accuracy of the proposed model is 92.55%, which is better than the existing algorithms. This method can be used to predict mental health of global medical worker. In addition, the method proposed in this paper can also play a role in the appropriate work plan for medical worker.

Combining gene expression signature with clinical features for survival stratification of gastric cancer.

The AJCC staging system is considered as the golden standard in clinical practice. However, it remains some pitfalls in assessing the prognosis of gastric cancer (GC) patients with similar clinicopathological characteristics. We aim to develop a new clinic and genetic risk score (CGRS) to improve the prognosis prediction of GC patients. We established genetic risk score (GRS) based on nine-gene signature including APOD, CCDC92, CYS1, GSDME, ST8SIA5, STARD3NL, TIMEM245, TSPYL5, and VAT1 based on the gene expression profiles of the training set from the Asian Cancer Research Group (ACRG) cohort by LASSO-Cox regression algorithms. CGRS was established by integrating GRS with clinical risk score (CRS) derived from Surveillance, Epidemiology, and End Results (SEER) database. GRS and CGRS dichotomized GC patients into high and low risk groups with significantly different prognosis in four independent cohorts with different data types, such as microarray, RNA sequencing and qRT-PCR (all HR > 1, all P < 0.001). Both GRS and CGRS were prognostic signatures independent of the AJCC staging system. Receiver operating characteristic (ROC) analysis showed that area under ROC curve of CGRS was larger than that of the AJCC staging system in most cohorts we studied. Nomogram and web tool (http://39.100.117.92/CGRS/) based on CGRS were developed for clinicians to conveniently assess GC prognosis in clinical practice. CGRS integrating genetic signature with clinical features shows strong robustness in predicting GC prognosis, and can be easily applied in clinical practice through the web application.

Macrophages enhance lipopolysaccharide induced apoptosis via Ang1 and NF-κB pathways in human umbilical vein endothelial cells.

Lipopolysaccharide (LPS) could induce apoptosis and dysfunction of endothelial cells. We aimed to reveal the effects of macrophages on cell proliferation and apoptosis in LPS induced human umbilical vein endothelial cells (HUVECs). THP-1 derived macrophages and HUVECs were co-cultured in the presence of LPS. Cell viability was measured by Cell Counting Kit-8 and apoptosis was analyzed by flow cytometry. Expression of Ang1, the NF-κB component p65 was evaluated by western blot and quantitative PCR. Small interfering RNAs (siRNAs) were used to knockdown the expression of proinflammatory cytokines and p65 in HUVECs. Plasmid transfection-mediated overexpression of Ang1 was employed to see its effects on cell proliferation and apoptosis in HUVECs. Macrophages enhanced LPS-induced proliferation impairments and apoptosis in HUVECs, which could be attenuated by siRNA-mediated knockdown of cytokines TNF-α, IL-1ß, IL-6 and IL-12p70 in macrophages. The dysfunction of HUVECs was tightly associated with reduced Ang1 expression and increased phosphorylated p65 (p-65). Overexpression of Ang1 in HUVECs significantly decreased p-p65, suggesting negatively regulation of p-p65 by Ang1. Overexpression of Ang1, adding recombinant Ang1 or silencing of p65 substantially attenuated the dysfunction of HUVECs in terms of cell proliferation and apoptosis. In conclusions, THP-1-derived macrophages enhance LPS induced dysfunction of HUVECs via Ang1 and NF-κB pathways, suggesting new therapeutic targets for sepsis.

[Paeoniflorin improves the permeability of cardiac microvascular endothelial cells by regulating Src/vascular endothelial-cadherin pathway].

OBJECTIVE: To investigate the effect and mechanism of paeoniflorin on the permeability of cardiac microvascular endothelial cells (CMECs) in sepsis. METHODS: Primary rat CMECs were isolated and cultured in vitro, and the cells in the logarithmic growth phase were used for experiments. Tetramethylazozolium colorimetry (MTT) was used to screen the safe and effective concentrations of paeoniflorin at 10, 20, and 40 µmol/L. The cells were divided into blank control group, lipopolysaccharide (LPS) group and low, medium and high concentration paeoniflorin pretreatment group. The cells in the blank control group were cultured in complete medium; the cells in the LPS group were challenged with LPS (1 mg/L) in complete medium; and the cells in the paeoniflorin pretreatment groups were pretreated with 10, 20, and 40 µmol/L paeoniflorin at 4 hours before LPS stimulation. The cells in each group were further cultured for 24 hours after LPS stimulation. The horseradish peroxidase (HRP) method was used to detect the permeability of rat CMECs. The enzyme-linked immunosorbent assay (ELISA) was used to detect the CXC chemokine ligand (CXCL1, CXCL2) levels in the cell supernatant. The real-time fluorescence quantitative reverse transcription-polymerase chain reaction (RT-qPCR) was used to detect the mRNA expressions of CXCL1 and CXCL2 in the cells. Western Blot was used to detect phosphorylated Src (p-Src), vascular endothelial-cadherin (VE-cadherin) and phosphorylated mitogen activated protein kinase (p-MAPK). RESULTS: Compared with the blank control group, the permeability of rat CMECs in the LPS group was significantly increased. The cell permeability was improved to some extent after paeoniflorin pretreatment at different concentrations, and the improvement was most obvious in the 40 µmol/L paeoniflorin group, with statistically significant difference as compared with the LPS group (A value: 1.61±0.07 vs. 2.13±0.06, P < 0.01). ELISA results showed that there were moderate amounts of CXCL1 and CXCL2 in the cell supernatant of rat CMECs in the blank control group. However, the secretion of CXCL1 and CXCL2 in the cell supernatant was increased significantly under the induction of LPS. After pretreatment with paeoniflorin at different concentrations, the secretion of CXCL1 and CXCL2 in the cell supernatant was significantly reduced. The most obvious inhibitory effect on CXCL1 was 40 µmol/L paeoniflorin, and the most obvious inhibition on CXCL2 was 20 µmol/L paeoniflorin, the differences were statistically significant as compared with the LPS group [CXCL1 (ng/L): 337.51±68.04 vs. 829.86±65.06, CXCL2 (ng/L): 4.48±0.11 vs. 9.41±0.70, both P < 0.01]. RT-qPCR results showed that the mRNA expressions of CXCL1 and CXCL2 in the rat CMECs were consistent with the ELISA results. LPS could increase mRNA expressions of CXCL1 and CXCL2 in the rat CMECs, and pretreatment with different concentrations of paeoniflorin could significantly reduce the mRNA expressions of CXCL1 and CXCL2. The 40 µmol/L paeoniflorin had the best inhibitory effect on CXCL1 mRNA expression, and the 20 µmol/L paeoniflorin had the best inhibitory effect on CXCL2 mRNA expression, the differences were statistically significant as compared with the LPS group [CXCL1 mRNA (2-ΔΔCt): 0.543±0.004 vs. 0.812±0.089, CXCL2 mRNA (2-ΔΔCt): 10.52±0.71 vs. 17.68±1.09, both P < 0.01]. Western Blot results showed that moderate amounts of p-Src, VE-cadherin and p-MAPK proteins were expressed in the rat CMECs in the blank control group. After LPS stimulation, the expressions of p-Src and p-MAPK proteins were increased significantly, while the expression of VE-cadherin protein was decreased significantly. After pretreatment with different concentrations of paeoniflorin, the expressions of p-Src and p-MAPK proteins in the cells were decreased to varying degrees, while the expression of VE-cadherin protein was increased, and 40 µmol/L paeoniflorin had the most obvious effect, the differences were statistically significant as compared with the LPS group [p-Src protein (p-Src/GAPDH): 1.02±0.09 vs. 1.29±0.05, p-MAPK proteins (p-MAPK/GAPDH): 0.24±0.02 vs. 0.62±0.02, VE-cadherin protein (VE-cadherin/GAPDH): 0.64±0.03 vs. 0.31±0.02, all P < 0.01]. CONCLUSIONS: Paeoniflorin can regulate the Src/VE-cadherin pathway in CMECs, inhibit the expression and secretion of inflammation-related proteins and chemokines, and improve the cell permeability of CMECs induced by LPS.

Upregulation of BCAM and its sense lncRNA BAN are associated with gastric cancer metastasis and poor prognosis.

Patients with metastatic gastric cancer (GC) have a poor prognosis; however, the molecular mechanism of GC metastasis remains unclear. Here, we employed bioinformatics to systematically screen the metastasis-associated genes and found that the levels of basal cell adhesion molecule (BCAM) were significantly increased in GC tissues from patients with metastasis, as compared to those without metastasis. The upregulation of BCAM was also significantly associated with a shorter survival time. Depletion of BCAM inhibited GC cell migration and invasion. Knockout (KO) of BCAM by the CRISPR/Cas9 system reduced the invasion and metastasis of GC cells. To explore the mechanism of BCAM upregulation, we identified a previously uncharacterized BCAM sense lncRNA that spanned from exon 6 to intron 6 of BCAM, and named it as BCAM-associated long noncoding RNA (BAN). Knockdown of BAN inhibited BCAM expression at both mRNA and protein levels. Knockdown of BAN suppressed GC cell migration and invasion, which was effectively rescued by ectopic expression of BCAM. Further clinical data showed that BAN upregulation was associated with GC metastasis and poor prognosis. Importantly, BAN expression was also significantly associated with that of BCAM in GC tissues. Taken together, these results indicate that increased expression of BCAM and its sense lncRNA BAN promote GC cell invasion and metastasis, and are associated with poor prognosis of GC patients.

lncRNA Sensing of a Viral Suppressor of RNAi Activates Non-canonical Innate Immune Signaling in Drosophila.

Antiviral immunity in insects is mediated by the RNA interference (RNAi) pathway. Viruses evade antiviral RNAi by expressing virulence factors known as viral suppressors of RNAi (VSR). Here, we report the identification of VINR, a Drosophila VSR-interacting long non-coding (lnc) RNA that activates non-canonical innate immune signaling upon detection of the dsRNA-binding VSR of Drosophila C virus (DCV). VINR is required for the induction of antimicrobial peptide (AMP) genes but dispensable for antiviral RNAi. VINR functions by preventing the ubiquitin proteasome-dependent degradation of Cactin, a coiled-coil and arginine-serine-rich domain-containing protein that regulates a non-cannonical antimicrobial pathway for AMP induction. CRISPR-Cas9 knockout of VINR in Drosophila cells enhances DCV replication independently of antiviral RNAi, and VINR-knockout adult flies exhibit enhanced disease susceptibility to DCV and bacteria. Our findings reveal a counter counter-defense strategy activated by a lncRNA in response to the viral suppression of the primary antiviral RNAi immunity.

Genome-wide characterization and developmental expression profiling of long non-coding RNAs in Sogatella furcifera.

The genome-wide characterization of long non-coding RNA (lncRNA) in insects demonstrates their importance in fundamental biological processes. Essentially, an in-depth understanding of the functional repertoire of lncRNA in insects is pivotal to insect resources utilization and sustainable pest control. Using a custom bioinformatics pipeline, we identified 1861 lncRNAs encoded by 1852 loci in the Sogatella furcifera genome. We profiled lncRNA expression in different developmental stages and observed that the expression of lncRNAs is more highly temporally restricted compared to protein-coding genes. More up-regulated Sogatella furcifera lncRNA expressed in the embryo, 4th and 5th instars, suggesting that increased lncRNA levels may play a role in these developmental stages. We compared the relationship between the expression of Sogatella furcifera lncRNA and its nearest protein gene and found that lncRNAs were more correlated to their downstream coding neighbors on the opposite strand. Our genome-wide profiling of lncRNAs in Sogatella furcifera identifies exciting candidates for characterization of lncRNAs, and also provides information on lncRNA regulation during insect development.

[Research progress of interleukin-33 and its receptor ST2 in sepsis].

Sepsis is a life-threatening organ dysfunction caused by an imbalance in the response to infection. Clinically the effects of anti-infection and fluid resuscitation are limited, and the morbidity and mortality of sepsis are still high. Interleukin-33 (IL-33), a member of the IL-1 family, binds to various cell types through the ST2-IL-1 receptor helper protein complex. IL-33 and its receptor ST2 play an important role as immune regulatory factors in sepsis. This article reviews the pathophysiological characteristics of sepsis, the biological characteristics of IL-33 and its receptor ST2, and the relationship between IL-33/ST2 and sepsis, so as to provide new ideas for the diagnosis and treatment of sepsis.