Cannabinoid Receptor 2-Centric Molecular Feedback Loop Drives Necroptosis in Diabetic Heart Injuries.

BACKGROUND: Diabetic heart dysfunction is a common complication of diabetes. Cell death is a core event that leads to diabetic heart dysfunction. However, the time sequence of cell death pathways and the precise time to intervene of particular cell death type remain largely unknown in the diabetic heart. This study aims to identify the particular cell death type that is responsible for diabetic heart dysfunction and to propose a promising therapeutic strategy by intervening in the cell death pathway. METHODS: Type 2 diabetes models were established using db/db leptin receptor-deficient mice and high-fat diet/streptozotocin-induced mice. The type 1 diabetes model was established in streptozotocin-induced mice. Apoptosis and programmed cell necrosis (necroptosis) were detected in diabetic mouse hearts at different ages. G protein-coupled receptor-targeted drug library was searched to identify potential receptors regulating the key cell death pathway. Pharmacological and genetic approaches that modulate the expression of targets were used. Stable cell lines and a homemade phosphorylation antibody were prepared to conduct mechanistic studies. RESULTS: Necroptosis was activated after apoptosis at later stages of diabetes and was functionally responsible for cardiac dysfunction. Cannabinoid receptor 2 (CB2R) was a key regulator of necroptosis. Mechanically, during normal glucose levels, CB2R inhibited S6 kinase-mediated phosphorylation of BACH2 at serine 520, thereby leading to BACH2 translocation to the nucleus, where BACH2 transcriptionally repressed the necroptosis genes Rip1, Rip3, and Mlkl. Under hyperglycemic conditions, high glucose induced CB2R internalization in a ß-arrestin 2-dependent manner; thereafter, MLKL (mixed lineage kinase domain-like), but not receptor-interacting protein kinase 1 or 3, phosphorylated CB2R at serine 352 and promoted CB2R degradation by ubiquitin modification. Cardiac re-expression of CB2R rescued diabetes-induced cardiomyocyte necroptosis and heart dysfunction, whereas cardiac knockout of Bach2 diminished CB2R-mediated beneficial effects. In human diabetic hearts, both CB2R and BACH2 were negatively associated with diabetes-induced myocardial injuries. CONCLUSIONS: CB2R transcriptionally repressed necroptosis through interaction with BACH2; in turn, MLKL formed a negative feedback to phosphorylate CB2R. Our study provides the integrative view of a novel molecular mechanism loop for regulation of necroptosis centered by CB2R, which represents a promising alternative strategy for controlling diabetic heart dysfunction.

Bright solitons in a spin-orbit-coupled dipolar Bose-Einstein condensate trapped within a double-lattice.

By effectively controlling the dipole-dipole interaction, we investigate the characteristics of the ground state of bright solitons in a spin-orbit coupled dipolar Bose-Einstein condensate. The dipolar atoms are trapped within a double-lattice which consists of a linear and a nonlinear lattice. We derive the motion equations of the different spin components, taking the controlling mechanisms of the dipole-dipole interaction into account. An analytical expression of dipole-dipole interaction is derived. By adjusting the dipole polarization angle, the dipole interaction can be adjusted from attraction to repulsion. On this basis, we study the generation and manipulation of the bright solitons using both the analytical variational method and numerical imaginary time evolution. The stability of the bright solitons is also analyzed and we map out the stability phase diagram. By adjusting the long-range dipole-dipole interaction, one can achieve manipulation of bright solitons in all aspects, including the existence, width, nodes, and stability. Considering the complexity of our system, our results will have enormous potential applications in quantum simulation of complex systems.

N4-acetylcytidine regulates the replication and pathogenicity of enterovirus 71.

Chemical modifications are important for RNA function and metabolism. N4-acetylcytidine (ac4C) is critical for the translation and stability of mRNA. Although ac4C is found in RNA viruses, the detailed mechanisms through which ac4C affects viral replication are unclear. Here, we reported that the 5' untranslated region of the enterovirus 71 (EV71) genome was ac4C modified by the host acetyltransferase NAT10. Inhibition of NAT10 and mutation of the ac4C sites within the internal ribosomal entry site (IRES) suppressed EV71 replication. ac4C enhanced viral RNA translation via selective recruitment of PCBP2 to the IRES and boosted RNA stability. Additionally, ac4C increased the binding of RNA-dependent RNA polymerase (3D) to viral RNA. Notably, ac4C-deficient mutant EV71 showed reduced pathogenicity in vivo. Our findings highlighted the essential role of ac4C in EV71 infection and provided insights into potential antiviral treatments.

UCF101 Rescues against Diabetes-Evoked Cardiac Remodeling and Contractile Anomalies through AMPK-Mediated Induction of Mitophagy.

BACKGROUND: Diabetes mellitus is known to provoke devastating anomalies in myocardial structure and function while effective therapeutic regimen is still lacking. The selective protease inhibitor UCF101 (5-[5-(2-nitrophenyl) furfuryliodine]-1,3-diphenyl-2-thiobarbituric acid) has been shown to fend off ischemic heart injury although its impact on diabetic cardiomyopathy remains elusive. METHOD: Our present work was conducted to examine the effect of UCF101 on experimental diabetes-evoked cardiac geometric and functional abnormalities as well as mechanism involved. Adult mice were made diabetic using streptozotocin (STZ) while receiving UCF101 (7.15 mg/kg, i.p.) for 6 consecutive days. RESULT: STZ evidently evoked cardiac hypertrophy, interstitial fibrosis, mitochondrial ultrastructural damage, oxidative stress, dampened autophagy (LC3B, Beclin1, elevated p62), mitophagy (FUNDC1 and Parkin with elevated TOM20), increased left ventricular (LV) end systolic diameter, dampened fractional shortening, ejection fraction, cardiomyocyte shortening capacity, velocities of shortening/relengthening, and rise in intracellular Ca2+ in conjunction with elongated diastole and intracellular Ca2+ removal, the responses were overtly reconciled by UCF101 with little effect from UCF101 itself. Levels of cell injury markers Omi/HtrA2, TNFα, and stress signaling (JNK, ERK, p38) were overtly enhanced along with compromised phosphorylation of cellular fuel AMPK (Thr172) and cell survival molecule GSK3ß, as well as downregulated SERCA2a and elevated phospholamban, the effect was reversed by UCF101 (except for SERCA2a). AMPK knockout, pharmacological inhibition, mitophagy inhibitor liensinine and parkin knockout nullified UCF101-offered cardioprotection in diabetes. UCF101 reversed STZ-induced upregulation in the AMPK degrading enzymes PP2A and PP2C. CONCLUSION: These findings denote that UCF101 rescues diabetes-instigated alterations in cardiac structure and contraction, likely through AMPK-mediated regulation of mitophagy.

An Approach of Query Audience's Attention in Virtual Speech.

Virtual speeches are a very popular way for remote multi-user communication, but it has the disadvantage of the lack of eye contact. This paper proposes the evaluation of an online audience attention based on gaze tracking. Our research only uses webcams to capture the audience's head posture, gaze time, and other features, providing a low-cost method for attention monitoring with reference values across multiple domains. Meantime, we also propose a set of indexes which can be used to evaluate the audience's degree of attention, making up for the fact that the speaker cannot gauge the audience's concentration through eye contact during online speeches. We selected 96 students for a 20 min group simulation session and used Spearman's correlation coefficient to analyze the correlation between our evaluation indicators and concentration. The result showed that each evaluation index has a significant correlation with the degree of attention (p = 0.01), and all the students in the focused group met the thresholds set by each of our evaluation indicators, while the students in the non-focused group failed to reach the standard. During the simulation, eye movement data and EEG signals were measured synchronously for the second group of students. The EEG results of the students were consistent with the systematic evaluation. The performance of the measured EEG signals confirmed the accuracy of the systematic evaluation.

A Soft Sensor Model of Sintering Process Quality Index Based on Multi-Source Data Fusion.

In complex industrial processes such as sintering, key quality variables are difficult to measure online and it takes a long time to obtain quality variables through offline testing. Moreover, due to the limitations of testing frequency, quality variable data are too scarce. To solve this problem, this paper proposes a sintering quality prediction model based on multi-source data fusion and introduces video data collected by industrial cameras. Firstly, video information of the end of the sintering machine is obtained via the keyframe extraction method based on the feature height. Secondly, using the shallow layer feature construction method based on sinter stratification and the deep layer feature extraction method based on ResNet, the feature information of the image is extracted at multi-scale of the deep layer and the shallow layer. Then, combining industrial time series data, a sintering quality soft sensor model based on multi-source data fusion is proposed, which makes full use of multi-source data from various sources. The experimental results show that the method effectively improves the accuracy of the sinter quality prediction model.

[Visual analysis of research on traditional Chinese medicine treatment of Alzheimer's disease in recent ten years].

This study employed bibliometrics tools to review the studies of traditional Chinese medicine(TCM) treatment of Alzheimer's disease(AD) in recent ten years, aiming to explore the research status, hotspots, and future trends in this field at home and abroad. The relevant literature published from January 1, 2012 to August 15, 2022 was retrieved from Web of Science and CNKI. CiteSpace 6.1R2 and VOSviewer 1.6.15 were used for the visual analysis of authors, countries, institutions, keywords, journals, etc. A total of 2 254 Chinese articles and 545 English articles were included. The annual number of articles published showed a rising trend with fluctuations. The country with the largest number of relevant articles published and the largest centrality was China. SUN Guo-jie and WANG Qi were the authors publishing the most Chinese articles and English articles, respectively. Hubei University of Chinese Medicine and Beijing University of Chinese Medicine published the most articles in Chinese and English, respectively. Journal of Ethnopharmacology and Neuroscience Letters published the articles with the highest cited frequency and the highest centrality. According to the keywords, the research on TCM treatment of AD mainly focused on the mechanism of action and treatment methods. Metabolomics, intestinal flora, oxidative stress, tau hyperphosphorylation, ß-amyloid(Aß), inflammatory cytokines, and autophagy were the focuses of the research on mechanism of action. Acupuncture, clinical effect, kidney deficiency and phlegm stasis, and dredging governor vessel to revitalize mind were the hotspots of clinical research. This research field is still in the stage of exploration and development. Exchanges and cooperation among institutions should be encouraged to carry out more high-quality basic research on TCM treatment of AD, obtain high-level evidence, and clarify the pathogenesis and prescription mechanism.

Oxidized LDL but not angiotensin II induces cardiomyocyte hypertrophic responses through the interaction between LOX-1 and AT1 receptors.

It is well known that lectin-like oxidized low-density lipoprotein (ox-LDL) and its receptor LOX-1, angiotensin II (AngII) and its type 1 receptor (AT1-R) play an important role in the development of cardiac hypertrophy. However, the molecular mechanism is not clear. In this study, we found that ox-LDL-induced cardiac hypertrophy was suppressed by inhibition of LOX-1 or AT1-R but not by AngII inhibition. These results suggest that the receptors LOX-1 and AT1-R, rather than AngII, play a key role in the role of ox-LDL. The same results were obtained in mice lacking endogenous AngII and their isolated cardiomyocytes. Ox-LDL but not AngII could induce the binding of LOX-1 and AT1-R; inhibition of LOX-1 or AT1-R but not AngII could abolish the binding of these two receptors. Overexpression of wild type LOX-1 with AT1-R enhanced ox-LDL-induced binding of two receptors and phosphorylation of ERKs, however, transfection of LOX-1 dominant negative mutant (lys266ala / lys267ala) or an AT1-R mutant (glu257ala) not only reduced the binding of two receptors but also inhibited the ERKs phosphorylation. Phosphorylation of ERKs induced by ox-LDL in LOX-1 and AT1-R-overexpression cells was abrogated by an inhibitor of Gq protein rather than Jak2, Rac1 or RhoA. Genetically, an AT1-R mutant lacking Gq protein coupling ability inhibited ox-LDL induced ERKs phosphorylation. Furthermore, through bimolecular fluorescence complementation analysis, we confirmed that ox-LDL rather than AngII stimulation induced the direct binding of LOX-1 and AT1-R. We conclude that direct binding of LOX-1 and AT1-R and the activation of downstream Gq protein are important mechanisms of ox-LDL-induced cardiomyocyte hypertrophy.

Sintering Quality Prediction Model Based on Semi-Supervised Dynamic Time Feature Extraction Framework.

In the sintering process, it is difficult to obtain the key quality variables in real time, so there is lack of real-time information to guide the production process. Furthermore, these labeled data are too few, resulting in poor performance of conventional soft sensor models. Therefore, a novel semi-supervised dynamic feature extraction framework (SS-DTFEE) based on sequence pre-training and fine-tuning is proposed in this paper. Firstly, based on the DTFEE model, the time features of the sequences are extended and extracted. Secondly, a novel weighted bidirectional LSTM unit (BiLSTM) is designed to extract the latent variables of original sequence data. Based on improved BiLSTM, an encoder-decoder model is designed as a pre-training model with unsupervised learning to obtain the hidden information in the process. Next, through model migration and fine-tuning strategy, the prediction performance of labeled datasets is improved. The proposed method is applied in the actual sintering process to estimate the FeO content, which shows a significant improvement of the prediction accuracy, compared to traditional methods.

Consistent Optimization of Blast Furnace Ironmaking Process Based on Controllability Assurance Soft Sensor Modeling.

The blast furnace ironmaking process is the core of steel manufacturing, and the optimization of this process can bring enormous economic and environmental benefits. However, previous data-driven optimization methods neglect the uncontrollability of part of the variables in the predictive modeling process, which brings great uncertainty to the optimization results and adversely affects the optimization effect. To address this problem, a consistency optimization framework based on controllability assurance soft sensor modeling is proposed. The method achieves the information extraction of uncontrollable variables in a process-supervised way, and improves the posterior distribution prediction accuracy. The method also proposes an integrated self-encoder regression module, which uses the regression to guide the encoding, realize the construction of latent features, and further improve the prediction accuracy of the model. Integrating the prediction module and the multi-objective gray wolf optimizer, the proposed model achieves the optimization of the blast furnace ironmaking process with only controllable variables as prediction model inputs while being capable of giving uncertainty estimates of the solutions. Empirical data validated the optimization model and demonstrated the effectiveness of the proposed algorithm.

Saturated fatty acids entrap PDX1 in stress granules and impede islet beta cell function.

AIMS/HYPOTHESIS: Failure of pancreatic and duodenal homeobox factor 1 (PDX1) to localise in the nucleus of islet beta cells under high-fat diet (HFD) conditions may be an early functional defect that contributes to beta cell failure in type 2 diabetes; however, the mechanism of PDX1 intracellular mislocalisation is unclear. Stress granules (SGs) are membrane-less cytoplasmic structures formed under stress that impair nucleocytoplasmic transport by sequestering nucleocytoplasmic transport factors and components of the nuclear pore complex. In this study, we investigated the stimulators that trigger SG formation in islet beta cells and the effects of SGs on PDX1 localisation and beta cell function. METHODS: The effect of palmitic acid (PA) on nucleocytoplasmic transport was investigated by using two reporters, S-tdTomato and S-GFP. SG assembly in rat insulinoma cell line INS1 cells, human islets under PA stress, and the pancreas of diet-induced obese mice was analysed using immunofluorescence and immunoblotting. SG protein components were identified through mass spectrometry. SG formation was blocked by specific inhibitors or genetic deletion of essential SG proteins, and then PDX1 localisation and beta cell function were investigated in vitro and in vivo. RESULTS: We showed that saturated fatty acids (SFAs) are endogenous stressors that disrupted nucleocytoplasmic transport and stimulated SG formation in pancreatic beta cells. Using mass spectrometry approaches, we revealed that several nucleocytoplasmic transport factors and PDX1 were localised to SGs after SFA treatment, which inhibited glucose-induced insulin secretion. Furthermore, we found that SFAs induced SG formation in a phosphoinositide 3-kinase (PI3K)/eukaryotic translation initiation factor 2α (EIF2α) dependent manner. Disruption of SG assembly by PI3K/EIF2α inhibitors or genetic deletion of T cell restricted intracellular antigen 1 (TIA1) in pancreatic beta cells effectively suppressed PA-induced PDX1 mislocalisation and ameliorated HFD-mediated beta cell dysfunction. CONCLUSIONS/INTERPRETATION: Our findings suggest a link between SG formation and beta cell dysfunction in the presence of SFAs. Preventing SG formation may be a potential therapeutic strategy for treating obesity and type 2 diabetes.

Band evolution and Landau-Zener Bloch oscillations in strained photonic rhombic lattices.

We investigate band evolution of chiral and non-chiral symmetric flatband photonic rhombic lattices by applying a strain along the diagonal direction, and thereby demonstrating Landau-Zener Bloch (LZB) oscillations in the presence of a refractive index gradient. The chiral and non-chiral symmetric rhombic lattices are obtained by adding a detuning to uniform lattices. For the chiral symmetric lattices, the middle flatband is perturbed due to the chiral symmetry breaking while a nearly flatband appears as the bottom band with the increase of strain-induced next-nearest-neighbor hopping. Consequently, LZB oscillations exhibit intriguing characteristics such as asymmetric energy transitions and almost complete suppression of the oscillations. Nevertheless, for the non-chiral symmetric lattices, flatband persists owing to the retained particle-hole symmetry and evolves into the bottom band. Remarkably, the band gap can be readily tuned, which allows controlling of the amplitude of Landau-Zener tunneling (LZT) rate and may lead to thorough LZT. Our analysis provides an alternative perspective on the generation of tunable flatband and may also bring insight to study the symmetry and topological characterization of the flatband.

An Instance Segmentation-Based Method to Obtain the Leaf Age and Plant Centre of Weeds in Complex Field Environments.

Leaf age and plant centre are important phenotypic information of weeds, and accurate identification of them plays an important role in understanding the morphological structure of weeds, guiding precise targeted spraying and reducing the use of herbicides. In this work, a weed segmentation method based on BlendMask is proposed to obtain the phenotypic information of weeds under complex field conditions. This study collected images from different angles (front, side, and top views) of three kinds of weeds (Solanum nigrum, barnyard grass (Echinochloa crus-galli), and Abutilon theophrasti Medicus) in a maize field. Two datasets (with and without data enhancement) and two backbone networks (ResNet50 and ResNet101) were replaced to improve model performance. Finally, seven evaluation indicators are used to evaluate the segmentation results of the model under different angles. The results indicated that data enhancement and ResNet101 as the backbone network could enhance the model performance. The F1 value of the plant centre is 0.9330, and the recognition accuracy of leaf age can reach 0.957. The mIOU value of the top view is 0.642. Therefore, deep learning methods can effectively identify weed leaf age and plant centre, which is of great significance for variable spraying.

Lipoprotein receptor-related protein 6 is required to maintain intercalated disk integrity.

The intercalated disk (ID), a highly organized adhesion structure connecting neighboring cardiomyocytes, fulfills mechanical and electrical signaling communication to ensure normal heart function. Lipoprotein receptor-related protein 6 (LRP6) is a co-receptor inducing canonical Wnt/ß-catenin signaling. It was recently reported that LRP6 deficiency in cardiomyocytes predisposes to arrhythmia independent of Wnt signaling. However, whether LRP6 directly regulates the structure of IDs requires further investigation. The aim of the present study was to explore the role of LRP6 in IDs and the potential underlying mechanisms by inducible cardiac-specific LRP6 knockout mice. The results revealed that LRP6 was predominately expressed in the cell membrane, including the IDs of cardiomyocytes. Tamoxifen-inducible cardiac-specific LRP6 knockout mice displayed overt cardiac dysfunction and disruption of ID structure. Further analysis revealed that cardiac LRP6 deficiency induced the imbalance of ID component proteins, characterized by the sharply decreased expression of connexin 43 (Cx43) and the significantly increased expression of N-cadherin, desmoplakin and γ-catenin in tissue lysates or membrane fraction from the left ventricle. STRING database analysis indicated that ß-catenin, but no other ID-associated proteins, interacted with LRP6. Our immunoprecipitation analysis demonstrated that LRP6 strongly interacted with Cx43, N-cadherin and γ-catenin, and weakly interacted with ß-catenin, whereas there was no association with desmoplakin. In response to LRP6 deficiency, the recruitment of ß- or γ-catenin to N-cadherin was increased, but they displayed little interaction with Cx43. In conclusion, LRP6 is required to maintain the integrity of ID structure and the balance of ID proteins, and the interaction between LRP6 and Cx43, N-cadherin and γ-catenin may be involved in this process.

Cardiac-specific LRP6 knockout induces lipid accumulation through Drp1/CPT1b pathway in adult mice.

We recently reported low-density lipoprotein receptor-related protein 6 (LRP6) decreased in dilated cardiomyopathy hearts, and cardiac-specific knockout mice displayed lethal heart failure through activation of dynamin-related protein 1 (Drp1). We also observed lipid accumulation in LRP6 deficiency hearts, but the detailed molecular mechanisms are unclear. Here, we detected fatty acids components in LRP6 deficiency hearts and explored the potential molecular mechanisms. Fatty acid analysis by GC-FID/MS revealed cardiac-specific LRP6 knockout induced the higher level of total fatty acids and some medium-long-chain fatty acids (C16:0, C18:1n9 and C18:2n6) than in control hearts. Carnitine palmitoyltransferase 1b (CPT1b), a rate-limiting enzyme of mitochondrial ß-oxidation in adult heart, was sharply decreased in LRP6 deficiency hearts, coincident with the activation of Drp1. Drp1 inhibitor greatly improved cardiac dysfunction and attenuated the increase in total fatty acids and fatty acids C16:0, C18:1n9 in LRP6 deficiency hearts. It also greatly inhibited the decrease in the cardiac expression of CPT1b and the transcriptional factors CCCTC-binding factor (CTCF) and c-Myc induced by cardiac-specific LRP6 knockout in mice. C-Myc but not CTCF was identified to regulate CPT1b expression and lipid accumulation in cardiomyocytes in vitro. The present study indicated cardiac-specific LRP6 knockout induced lipid accumulation by Drp1/CPT1b pathway in adult mice, and c-Myc is involved in the process. It suggests that LRP6 regulates fatty acid metabolism in adult heart.

Multi-Attribute Fusion Algorithm Based on Improved Evidence Theory and Clustering.

In most of the application scenarios of industrial control systems, the switching threshold of a device, such as a street light system, is typically set to a fixed value. To meet the requirements for a smart city, it is necessary to set a threshold that is adaptive to different conditions by fusing the multi-attribute observations of the sensors. This paper proposes a multi-attribute fusion algorithm based on fuzzy clustering and improved evidence theory. All of the observations are clustered by fuzzy clustering, where a proper clustering method is chosen, and the improved evidence theory is used to fuse the observations. In the experiments, two-dimensional observations for the street light illumination and for the ambient illumination are used in a campus-intelligent lighting system based on a narrowband Internet of things, and the results demonstrate the effectiveness of the proposed fusion algorithm. The proposed algorithm can be applied to a variety of multi-attribute fusion scenarios.

Endogenous hormone 2-methoxyestradiol suppresses venous hypertension-induced angiogenesis through up- and down-regulating p53 and id-1.

Brain arteriovenous malformations (AVMs) which associate with angiogenesis due to local hypertension, chronic cerebral ischaemia and tissue hypoxia usually lead to haemorrhage, however, the therapeutic medicine for the disease is still lacking. 2-methoxyestradiol (2-ME) has been shown effective in the anti-angiogenic treatment. This study was conducted to examine whether and how 2-ME could improve the vascular malformations. Intracranial venous hypertension (VH) model produced in adult male Sprague-Dawley rats and culture of human umbilical vein endothelial cells (HUVECs) at the anoxia condition were used to induce in vivo and in vitro angiogenesis, respectively. Lentiviral vectors of ID-1 and p53 genes and of their siRNA were intracranially injected into rats and transfected into HUVECs to overexpress and down-regulate these molecules. 2-ME treatment not only reduced the in vivo progression of brain tissue angiogenesis in the intracranial VH rats and the in vitro increases in microvasculature formation, cellular migration and HIF-1α expression induced by anoxia in HUVECs but also reversed the up-regulation of ID-1 and down-regulation of p53 in both the in vivo and in vitro angiogenesis models. All of the anti-angiogenesis effects of 2-ME observed in VH rats and anoxic HUVECs were abrogated by ID-1 overexpression and p53 knockdown. Our data collectively suggest that 2-ME treatment inhibits hypoxia/anoxia-induced angiogenesis dependently on ID-1 down-regulation and p53 up-regulation, providing a potential alternative medical treatment for un-ruptured AVM patients.

Mechanical stresses induce paracrine ß-2 microglobulin from cardiomyocytes to activate cardiac fibroblasts through epidermal growth factor receptor.

By employing a proteomic analysis on supernatant of mechanically stretched cardiomyocytes, we found that stretch induced a significantly high level of ß-2 microglobulin (ß2M), a non-glycosylated protein, which is related to inflammatory diseases but rarely known in cardiovascular diseases. The present data showed that serum ß2M level was increased in patients with hypertension and further increased in patients with chronic heart failure (HF) as compared with control group, and the high level of serum ß2M level correlated to cardiac dysfunction in these patients. In pressure overload mice model by transverse aortic constriction (TAC), ß2M levels in serum and heart tissue increased progressively in a time-dependent manner. Exogenous ß2M showed pro-fibrotic effects in cultured cardiac fibroblasts but few effects in cardiomyocytes. Adeno-associated virus 9 (AAV9)-mediated knockdown of ß2M significantly reduced cardiac ß2M level and inhibited myocardial fibrosis and cardiac dysfunction but not cardiac hypertrophy at 4 weeks after TAC. In vitro, mechanical stretch induced the rapid secretion of ß2M mainly from cardiomyocytes by activation of extracellular-regulated protein kinase (ERK). Conditional medium (CM) from mechanically stretched cardiomyocytes activated cultured cardiac fibroblasts, and the effect was partly abolished by CM from ß2M-knockdown cardiomyocytes. In vivo, knockdown of ß2M inhibited the increase in phosphorylation of epidermal growth factor receptor (EGFR) induced by TAC. In cultured cardiac fibroblasts, inhibition of EGFR significantly attenuated the ß2M-induced the activation of EGFR and pro-fibrotic responses. The present study suggests that ß2M is a paracrine pro-fibrotic mediator and associated with cardiac dysfunction in response to pressure overload.

Qiliqiangxin protects against anoxic injury in cardiac microvascular endothelial cells via NRG-1/ErbB-PI3K/Akt/mTOR pathway.

Cardiac microvascular endothelial cells (CMECs) are important angiogenic components and are injured rapidly after cardiac ischaemia and anoxia. Cardioprotective effects of Qiliqiangxin (QL), a traditional Chinese medicine, have been displayed recently. This study aims to investigate whether QL could protect CMECs against anoxic injury and to explore related signalling mechanisms. CMECs were successfully cultured from Sprague-Dawley rats and exposed to anoxia for 12 hrs in the absence and presence of QL. Cell migration assay and capillary-like tube formation assay on Matrigel were performed, and cell apoptosis was determined by TUNEL assay and caspase-3 activity. Neuregulin-1 (NRG-1) siRNA and LY294002 were administrated to block NRG-1/ErbB and PI3K/Akt signalling, respectively. As a result, anoxia inhibited cell migration, capillary-like tube formation and angiogenesis, and increased cell apoptosis. QL significantly reversed these anoxia-induced injuries and up-regulated expressions of NRG-1, phospho-ErbB2, phospho-ErbB4, phospho-Akt, phospho-mammalian target of rapamycin (mTOR), hypoxia-inducible factor-1α (HIF-1α) and vascular endothelial growth factor (VEGF) in CMECs, while NRG-1 knockdown abolished the protective effects of QL with suppressed NRG-1, phospho-ErbB2, phospho-ErbB4, phospho-Akt, phospho-mTOR, HIF-1α and VEGF expressions. Similarly, LY294002 interrupted the beneficial effects of QL with down-regulated phospho-Akt, phospho-mTOR, HIF-1α and VEGF expressions. However, it had no impact on NRG-1/ErbB signalling. Our data indicated that QL could attenuate anoxia-induced injuries in CMECs via NRG-1/ErbB signalling which was most probably dependent on PI3K/Akt/mTOR pathway.

Evolution of Vertebrate Ryanodine Receptors Family in Relation to Functional Divergence and Conservation.

Ryanodine receptors (RyRs), the large homotetrameric protein complexes, regulate the release of calcium from intracellular stores into the cytosol and play vital roles in the excitation-contraction coupling of cells. However, the evolutionary relationship of RyRs in vertebrates has yet to be elucidated. We identified 22 RyRs from Homo sapiens, Mus musculus, Rattus norvegicus, Gallus gallus, Anolis carolinensis, Rana catesbeiana, and Danio rerio. The phylogenetic relationship, motifs analysis and reconstruction of ancestral RyRs showed that the members of RyR family in vertebrates were grouped into three clades: the RyR1 clade, the RyR2 clade, and the RyR3 clade. Positive selection existed in RyR gene evolution, which is consistent in three site models, and gene ontology (GO) analysis showed that the evolution of RyR family in vertebrates promotes RyRs function differentiation. At last, we predicted 140 mutation sites which may be involved in diseases and 57 phosphorylation sites among RyR1 sequence in human, as well as 61 mutation sites and 70 phosphorylation sites in human RyR2 sequences. Most of these potential sites are arranged in clusters. Our work provides insight into the origin and evolutionary process of RyRs in vertebrates, facilitating their functional investigations in the future.