Mechanism of salidroside against coronary artery disease by network pharmacology analysis.

BACKGROUND: Rosenroot (Rhodiola rosea) is a traditional Chinese herbal medicine. It has been used to treat patients with coronary artery disease (CAD). Salidroside is the main active constituent of rosenroot. This study was designed to explore the mechanism of salidroside in treating CAD and its role in angiogenesis in CAD systematically. METHODS: In this study, potential targets related to salidroside and CAD were obtained from public databases. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Disease Ontology (DO) and CellMarker enrichment analyses were performed. The binding of salidroside to angiogenesis-related targets was assessed by PyMOL and Ligplot. Furthermore, the effects of salidroside on collateral circulation were evaluated by correlation analysis of these angiogenesis-related targets with the coronary flow index (CFI), and the influence of salidroside on human umbilical vein endothelial cell (HUVEC) proliferation and migration was assessed. RESULTS: Eighty-three targets intersected between targets of salidroside and CAD. GO and KEGG analyses indicated that salidroside mainly treated CAD through angiogenesis and anti-inflammatory action. There were 12 angiogenesis-related targets of salidroside in coronary heart disease, among which FGF1 (r = 0.237, P = 2.597E-3), KDR (r = 0.172, P = 3.007E-2) and HIF1A (r = -0.211, P = 7.437E-3) were correlated with the coronary flow index (CFI), and salidroside docked well with them. Finally, cell experiments confirmed that salidroside promoted the proliferation and migration of HUVECs. CONCLUSIONS: This study revealed the potential molecular mechanism of salidroside on angiogenesis in CAD and provided new ideas for the clinical application of salidroside in the treatment of CAD.

Artesunate Inhibits Apoptosis and Promotes Survival in Schwann Cells via the PI3K/AKT/mTOR Axis in Diabetic Peripheral Neuropathy.

Diabetic peripheral neuropathy (DPN) is an early developing complication of diabetes mellitus associated with nerve dysfunction. Artesunate (ART), a natural compound extracted from the herb Artemisia annua L., was reported to benefit neural injury. However, whether ART has a role in preventing DPN is still unknown. In this study, a rat model of DPN with a high fat diet feeding and streptozotocin (STZ) injection was established. The findings indicated that ART treatment significantly ameliorated hyperglycemia-induced hot plate reaction latency (HPRL) decline, cold sensitivity and mechanical allodynia, and nerve injury by inhibiting sciatic nerve apoptosis. Further, ART restored high glucose (HG)-induced elevated apoptosis and deficient survival in rat neuronal Schwann cells, RSC96 cells. We demonstrated that ART promoted protein kinase B (AKT) phosphorylation as well as its downstream factor mammalian target of rapamycin (mTOR) in vivo and in vitro. Of note, the protective effects of ART in RSC96 cells under HG condition could be counteracted by LY294002, a phosphatidylinositol 3-kinase (PI3K) inhibitor. Taken together, ART mitigated hyperglycemia-induced nerve injury by suppressing apoptosis and promoting the viability of Schwann cells via the PI3K/AKT/mTOR signaling pathway.

The Unique Morphology of Coconut Petiole Fibers Facilitates the Fabrication of Plant Composites with High Impact Performance.

The present work explored alkali-treated coconut petiole fibers (ACPFs) characterization and the effect of fiber loadings on the mechanical properties of poly (lactic acid) (PLA)/ACPF composites for the first time. The physical, mechanical, and interfacial properties, as well as the morphology of the ACPFs were reported. It was found that ACPFs with a density of 0.92 g/cm3 have average tensile strength and tensile modulus equal to 355.77 MPa and 5212.36 MPa. The interfacial strength between ACPFs and PLA was high (14.06 MPa), attributed to the micro-sized holes on the fibers, as established from SEM micrographs. Then composites with varying fiber loadings were fabricated by melt-blending and compression molding. The mechanical (tensile, flexural, and impact) performance of composites was reported. Based on the high interfacial strength between fibers and PLA and the unique "spiral" structure of fibers, the composites reached a high impact strength of 8.2 kJ/m2 and flexural modulus of 6959.70 MPa at 50 wt.%, representing 150% and 50% improvement relative to pure PLA.

Butylparaben Exposure Induced Darker Skin Pigmentation in Nile Tilapia (Oreochromis niloticus).

Butylparaben (BuP), as an emerging contaminant with endocrine-disrupting effects, may exert effects on skin pigmentation in fish by interfering with the neuroendocrine system. Therefore, models of BuP exposure in Nile tilapia (Oreochromis niloticus) were established by adding different doses of BuP (0, 5, 50, 500, and 5000 ng/L) for 56 days. The obtained results showed that BuP exposure induced darker skin pigmentation, manifested as increased melanin content of skin, while genes related to melanin synthesis, including α-MSH and Asip2, significantly changed. In addition, BuP exposure reduced dopamine and γ-aminobutyric acid content in the brain, which is related to the synthesis of α-MSH. Furthermore, the release of neurotransmitters from the brain is affected by light. Thus, the relative gene expression levels in the phototransduction pathway were evaluated to explore the molecular mechanism of BuP-induced darker skin pigmentation, and the obtained results showed that Arr3a and Arr3b expression was significantly upregulated, whereas Opsin expression was significantly downregulated in a BuP dose-dependent manner, indicating that BuP inhibited phototransduction from the retina to the brain. Importantly, correlation analysis results showed that all melanin indexes were significantly positively correlated with Arr3b expression and negatively correlated with Opsin expression. This study indicated that BuP induced darker skin pigmentation in Nile tilapia via the neuroendocrine circuit, which reveals the underlying molecular mechanism for the effects of contaminants in aquatic environments on skin pigmentation in fish.

An integrative investigation of developmental toxicities induced by triphenyltin in a larval coral reef fish, Amphiprion ocellaris.

Triphenyltin (TPT) is widely distributed on coastlines, which makes coral reef fish a potential target of TPT pollution. However, the negative effects of TPT on coral reef fish remain poorly understood. Therefore, in the present study, the larval coral reef fish Amphiprion ocellaris was used to investigate the developmental toxicities of TPT at environmentally relevant concentrations (0, 1, 10 and 100 ng/L). After TPT exposure for 14 d, the cumulative mortality increased, and growth was suppressed. In addition, TPT exposure inhibited the development of melanophores and xanthophores and delayed white strip formation, which might be responsible for the disruption of the genes (erbb3b, mitfa, kit, xdh, tyr, oca2, itk and trim33) related to pigmentation. TPT exposure also attenuated ossification of head skeletal elements and the vertebral column and inhibited the expression of genes (bmp2, bmp4 and sp7) related to skeletal development. The observed developmental toxicities on growth, pigmentation and skeleton development might be associated with the disruption of thyroid hormones and the genes related to thyroid hormone regulation (tshß, thrα, thrß, tg, tpo, dio2, and ttr). In addition, TPT exposure interfered with locomotor and shoaling behavior, and the related genes dbh, avp and avpr1aa. Taken together, our results suggest that TPT pollution might threaten the development of one of the most iconic coral reef fish, which might produce disastrous consequences on the health of coral reef ecosystems.

Preparation of Long Sisal Fiber-Reinforced Polylactic Acid Biocomposites with Highly Improved Mechanical Performance.

Green biodegradable plastics have come into focus as an alternative to restricted plastic products. In this paper, continuous long sisal fiber (SF)/polylactic acid (PLA) premixes were prepared by an extrusion-rolling blending process, and then unidirectional continuous long sisal fiber-reinforced PLA composites (LSFCs) were prepared by compression molding to explore the effect of long fiber on the mechanical properties of sisal fiber-reinforced composites. As a comparison, random short sisal fiber-reinforced PLA composites (SSFCs) were prepared by open milling and molding. The experimental results show that continuous long sisal fiber/PLA premixes could be successfully obtained from this pre-blending process. It was found that the presence of long sisal fibers could greatly improve the tensile strength of LSFC material along the fiber extension direction and slightly increase its tensile elongation. Continuous long fibers in LSFCs could greatly participate in supporting the load applied to the composite material. However, when comparing the mechanical properties of the two composite materials, the poor compatibility between the fiber and the matrix made fiber's reinforcement effect not well reflected in SSFCs. Similarly, the flexural performance and impact performance of LSFCs had been improved considerably versus SSFCs.

LncRNA SNHG8 is identified as a key regulator of acute myocardial infarction by RNA-seq analysis.

BACKGROUND: Long noncoding RNAs (lncRNAs) are involved in numerous physiological functions. However, their mechanisms in acute myocardial infarction (AMI) are not well understood. METHODS: We performed an RNA-seq analysis to explore the molecular mechanism of AMI by constructing a lncRNA-miRNA-mRNA axis based on the ceRNA hypothesis. The target microRNA data were used to design a global AMI triple network. Thereafter, a functional enrichment analysis and clustering topological analyses were conducted by using the triple network. The expression of lncRNA SNHG8, SOCS3 and ICAM1 was measured by qRT-PCR. The prognostic values of lncRNA SNHG8, SOCS3 and ICAM1 were evaluated using a receiver operating characteristic (ROC) curve. RESULTS: An AMI lncRNA-miRNA-mRNA network was constructed that included two mRNAs, one miRNA and one lncRNA. After RT-PCR validation of lncRNA SNHG8, SOCS3 and ICAM1 between the AMI and normal samples, only lncRNA SNHG8 had significant diagnostic value for further analysis. The ROC curve showed that SNHG8 presented an AUC of 0.850, while the AUC of SOCS3 was 0.633 and that of ICAM1 was 0.594. After a pairwise comparison, we found that SNHG8 was statistically significant (P SNHG8-ICAM1 = 0.002; P SNHG8-SOCS3 = 0.031). The results of a functional enrichment analysis of the interacting genes and microRNAs showed that the shared lncRNA SNHG8 may be a new factor in AMI. CONCLUSIONS: Our investigation of the lncRNA-miRNA-mRNA regulatory networks in AMI revealed a novel lncRNA, lncRNA SNHG8, as a risk factor for AMI and expanded our understanding of the mechanisms involved in the pathogenesis of AMI.

A Novel Subspace Alignment-Based Interference Suppression Method for the Transfer Caused by Different Sample Carriers in Electronic Nose.

A medical electronic nose (e-nose) with 31 gas sensors is used for wound infection detection by analyzing the bacterial metabolites. In practical applications, the prediction accuracy drops dramatically when the prediction model established by laboratory data is directly used in human clinical samples. This is a key issue for medical e-nose which should be more worthy of attention. The host (carrier) of bacteria can be the culture solution, the animal wound, or the human wound. As well, the bacterial culture solution or animals (such as: mice, rabbits, etc.) obtained easily are usually used as experimental subjects to collect sufficient sensor array data to establish the robust predictive model, but it brings another serious interference problem at the same time. Different carriers have different background interferences, therefore the distribution of data collected under different carriers is different, which will make a certain impact on the recognition accuracy in the detection of human wound infection. This type of interference problem is called "transfer caused by different sample carriers". In this paper, a novel subspace alignment-based interference suppression (SAIS) method with domain correction capability is proposed to solve this interference problem. The subspace is the part of space whose dimension is smaller than the whole space, and it has some specific properties. In this method, first the subspaces of different data domains are gotten, and then one subspace is aligned to another subspace, thereby the problem of different distributions between two domains is solved. From experimental results, it can be found that the recognition accuracy of the infected rat samples increases from 29.18% (there is no interference suppression) to 82.55% (interference suppress by SAIS).

Wasserstein Distance Learns Domain Invariant Feature Representations for Drift Compensation of E-Nose.

Electronic nose (E-nose), a kind of instrument which combines with the gas sensor and the corresponding pattern recognition algorithm, is used to detect the type and concentration of gases. However, the sensor drift will occur in realistic application scenario of E-nose, which makes a variation of data distribution in feature space and causes a decrease in prediction accuracy. Therefore, studies on the drift compensation algorithms are receiving increasing attention in the field of the E-nose. In this paper, a novel method, namely Wasserstein Distance Learned Feature Representations (WDLFR), is put forward for drift compensation, which is based on the domain invariant feature representation learning. It regards a neural network as a domain discriminator to measure the empirical Wasserstein distance between the source domain (data without drift) and target domain (drift data). The WDLFR minimizes Wasserstein distance by optimizing the feature extractor in an adversarial manner. The Wasserstein distance for domain adaption has good gradient and generalization bound. Finally, the experiments are conducted on a real dataset of E-nose from the University of California, San Diego (UCSD). The experimental results demonstrate that the effectiveness of the proposed method outperforms all compared drift compensation methods, and the WDLFR succeeds in significantly reducing the sensor drift.

Domain Correction Based on Kernel Transformation for Drift Compensation in the E-Nose System.

This paper proposes a way for drift compensation in electronic noses (e-nose) that often suffers from uncertain and unpredictable sensor drift. Traditional machine learning methods for odor recognition require consistent data distribution, which makes the model trained with previous data less generalized. In the actual application scenario, the data collected previously and the data collected later may have different data distributions due to the sensor drift. If the dataset without sensor drift is treated as a source domain and the dataset with sensor drift as a target domain, a domain correction based on kernel transformation (DCKT) method is proposed to compensate the sensor drift. The proposed method makes the distribution consistency of two domains greatly improved through mapping to a high-dimensional reproducing kernel space and reducing the domain distance. A public benchmark sensor drift dataset is used to verify the effectiveness and efficiency of the proposed DCKT method. The experimental result shows that the proposed method yields the highest average accuracies compared to other considered methods.

Study on Interference Suppression Algorithms for Electronic Noses: A Review.

Electronic noses (e-nose) are composed of an appropriate pattern recognition system and a gas sensor array with a certain degree of specificity and broad spectrum characteristics. The gas sensors have their own shortcomings of being highly sensitive to interferences which has an impact on the detection of target gases. When there are interferences, the performance of the e-nose will deteriorate. Therefore, it is urgent to study interference suppression techniques for e-noses. This paper summarizes the sources of interferences and reviews the advances made in recent years in interference suppression for e-noses. According to the factors which cause interference, interferences can be classified into two types: interference caused by changes of operating conditions and interference caused by hardware failures. The existing suppression methods were summarized and analyzed from these two aspects. Since the interferences of e-noses are uncertain and unstable, it can be found that some nonlinear methods have good effects for interference suppression, such as methods based on transfer learning, adaptive methods, etc.

A correlated information removing based interference suppression technique in electronic nose for detection of bacteria.

A sensor array with 30 gas sensors is used in the electronic nose (e-nose) for bacteria detection in wound infection. However, the interference is an urgent problem in e-nose, since it would impact on the detection of target due to the cross-sensitivity of gas sensors, especially the background interference caused by carrier gas. The related methods to suppress the background interference are independent component analysis and orthogonal signal correction algorithm which are unreasonable, because it is difficult to obtain the so-called reference vector in complex real-world scenario. Consider that the sampling process of pump suction is divided into three parts: baseline collecting, sample collecting and system purging. In the case of stabilized carrier gas, the information in baseline can be fully used to suppress the interference in sampling stage. Thus a novel and effective correlated information removing based interference suppression (CIRIS) method is proposed. Specifically, the principle of this method is to suppress the interference of the sampling stage by removing the information correlated with baseline samples. Experimental results show that the proposed method (CIRIS with principal component analysis used to calculate the projection matrix) is significantly effective for interference suppression in e-nose.

Suppression of Strong Background Interference on E-Nose Sensors in an Open Country Environment.

The feature extraction technique for an electronic nose (e-nose) applied in tobacco smell detection in an open country/outdoor environment with periodic background strong interference is studied in this paper. Principal component analysis (PCA), Independent component analysis (ICA), re-filtering and a priori knowledge are combined to separate and suppress background interference on the e-nose. By the coefficient of multiple correlation (CMC), it can be verified that a better separation of environmental temperature, humidity, and atmospheric pressure variation related background interference factors can be obtained with ICA. By re-filtering according to the on-site interference characteristics a composite smell curve was obtained which is more related to true smell information based on the tobacco curer's experience.

[Preliminary approach of deep and superficial layer under intranasal endoscope operation for nasal septum malignant tumour].

OBJECTIVE: To preliminary discuss the questions of deep and superficial layer under intranasal endoscope operation for nasal septum malignant tumour. METHOD: The patients of 19 cases with nasal septum malignant tumour who adapt to the operation under intranasal endoscope were divided into 3 groups and were treated separately according to the range, position, infiltrative degree of tumour and exploring conditions in operative process. The treatments of first group had executed with first layer operation. The second group had executed with second layer operation in addition partial patients radiotherapy. The third group had executed with third layer operation in addition total patients radiotherapy. RESULT: The tumour-free survivals have 4 cases and local recurrences have 2 cases in 6 cases of first group. The tumour-free survivals have 5 cases, local recurrence has 2 cases, local metastasis has 1 cases and death has 1 case in 9 cases of second group. The tumour-free survivals have 2 cases, local recurrence has 1 case and local metastasis has 1 case in 4 cases of third group. The treated effects have not statistical differences in 3 groups (P > 0.05). Five-year survival rate was 84.2% and five-year tumour-free survival rate was 57.9% for all patients. CONCLUSION: The operations under intranasal endoscope for nasal septum malignant tumour have certainly indication. The selection of operative deep and superficial layer and control of operative safety margin have the same important clinical signification.

[Clinical observation of clarithromycin treatment for nasosinusitis after nasopharyngeal carcinoma radiotherapy].

OBJECTIVE: To observe the clinical treatment effectiveness of clarithromycin for naso-sinusitis after nasopharyngeal carcinoma radiotherapy. METHOD: Twenty-four cases of naso-sinusitis after one year nasopharyngeal carcinoma radiotherapy were treated with the oral clarithromycin of small dosage (250 mg everyday). The course of treatment were for 12 to 20 weeks. The treatment effectiveness were evaluated with the chronic naso-sinusitis visual analog quality table mark system (VAS) and Lund-Mackay nasal sinuses CT image mark system before and after treatment. RESULT: The VAS mark and CT image mark have significant deviation (P < 0.01) among pretherapy, post-treatment and 6 months after drug withdrawal. No significant deviation was found(P > 0.05) between post treatment and 6 months after drug withdrawal. The treatment effectiveness was judged for very good is 9 cases, for the good is 11 cases and for the bad is 4 cases. CONCLUSION: The clarithromycin of small dosage for long-term treatment of naso-sinusitis after nasopharyngeal carcinoma radiotherapy has positive clinical treatment effectiveness, which is a better treatment method.