A robust approach for multi-type classification of brain tumor using deep feature fusion.

Brain tumors can be classified into many different types based on their shape, texture, and location. Accurate diagnosis of brain tumor types can help doctors to develop appropriate treatment plans to save patients' lives. Therefore, it is very crucial to improve the accuracy of this classification system for brain tumors to assist doctors in their treatment. We propose a deep feature fusion method based on convolutional neural networks to enhance the accuracy and robustness of brain tumor classification while mitigating the risk of over-fitting. Firstly, the extracted features of three pre-trained models including ResNet101, DenseNet121, and EfficientNetB0 are adjusted to ensure that the shape of extracted features for the three models is the same. Secondly, the three models are fine-tuned to extract features from brain tumor images. Thirdly, pairwise summation of the extracted features is carried out to achieve feature fusion. Finally, classification of brain tumors based on fused features is performed. The public datasets including Figshare (Dataset 1) and Kaggle (Dataset 2) are used to verify the reliability of the proposed method. Experimental results demonstrate that the fusion method of ResNet101 and DenseNet121 features achieves the best performance, which achieves classification accuracy of 99.18 and 97.24% in Figshare dataset and Kaggle dataset, respectively.

EFF_D_SVM: a robust multi-type brain tumor classification system.

Brain tumors are one of the most threatening diseases to human health. Accurate identification of the type of brain tumor is essential for patients and doctors. An automated brain tumor diagnosis system based on Magnetic Resonance Imaging (MRI) can help doctors to identify the type of tumor and reduce their workload, so it is vital to improve the performance of such systems. Due to the challenge of collecting sufficient data on brain tumors, utilizing pre-trained Convolutional Neural Network (CNN) models for brain tumors classification is a feasible approach. The study proposes a novel brain tumor classification system, called EFF_D_SVM, which is developed on the basic of pre-trained EfficientNetB0 model. Firstly, a new feature extraction module EFF_D was proposed, in which the classification layer of EfficientNetB0 was replaced with two dropout layers and two dense layers. Secondly, the EFF_D model was fine-tuned using Softmax, and then features of brain tumor images were extracted using the fine-tuned EFF_D. Finally, the features were classified using Support Vector Machine (SVM). In order to verify the effectiveness of the proposed brain tumor classification system, a series of comparative experiments were carried out. Moreover, to understand the extracted features of the brain tumor images, Grad-CAM technology was used to visualize the proposed model. Furthermore, cross-validation was conducted to verify the robustness of the proposed model. The evaluation metrics including accuracy, F1-score, recall, and precision were used to evaluate proposed system performance. The experimental results indicate that the proposed model is superior to other state-of-the-art models.

An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy.

BACKGROUND: Epilepsy is a neurological disorder that is usually detected by electroencephalogram (EEG) signals. Since manual examination of epilepsy seizures is a laborious and time-consuming process, lots of automatic epilepsy detection algorithms have been proposed. However, most of the available classification algorithms for epilepsy EEG signals adopted a single feature extraction, in turn to result in low classification accuracy. Although a small account of studies have carried out feature fusion, the computational efficiency is reduced due to too many features, because there are also some poor features that interfere with the classification results. METHODS: In order to solve the above problems, an automatic recognition method of epilepsy EEG signals based on feature fusion and selection is proposed in this paper. Firstly, the Approximate Entropy (ApEn), Fuzzy Entropy (FuzzyEn), Sample Entropy (SampEn), and Standard Deviation (STD) mixed features of the subband obtained by the Discrete Wavelet Transform (DWT) decomposition of EEG signals are extracted. Secondly, the random forest algorithm is used for feature selection. Finally, the Convolutional Neural Network (CNN) is used to classify epilepsy EEG signals. RESULTS: The empirical evaluation of the presented algorithm is performed on the benchmark Bonn EEG datasets and New Delhi datasets. In the interictal and ictal classification tasks of Bonn datasets, the proposed model achieves an accuracy of 99.9%, a sensitivity of 100%, a precision of 99.81%, and a specificity of 99.8%. For the interictal-ictal case of New Delhi datasets, the proposed model achieves a classification accuracy of 100%, a sensitivity of 100%, a specificity of 100%, and a precision of 100%. CONCLUSION: The proposed model can effectively realize the high-precision automatic detection and classification of epilepsy EEG signals. This model can provide high-precision automatic detection capability for clinical epilepsy EEG detection. We hope to provide positive implications for the prediction of seizure EEG.

Spatiotemporal and Seasonal Trends of Class A and B Notifiable Infectious Diseases in China: Retrospective Analysis.

BACKGROUND: China is the most populous country globally and has made significant achievements in the control of infectious diseases over the last decades. The 2003 SARS epidemic triggered the initiation of the China Information System for Disease Control and Prevention (CISDCP). Since then, numerous studies have investigated the epidemiological features and trends of individual infectious diseases in China; however, few considered the changing spatiotemporal trends and seasonality of these infectious diseases over time. OBJECTIVE: This study aims to systematically review the spatiotemporal trends and seasonal characteristics of class A and class B notifiable infectious diseases in China during 2005-2020. METHODS: We extracted the incidence and mortality data of 8 types (27 diseases) of notifiable infectious diseases from the CISDCP. We used the Mann-Kendall and Sen's methods to investigate the diseases' temporal trends, Moran I statistic for their geographical distribution, and circular distribution analysis for their seasonality. RESULTS: Between January 2005 and December 2020, 51,028,733 incident cases and 261,851 attributable deaths were recorded. Pertussis (P=.03), dengue fever (P=.01), brucellosis (P=.001), scarlet fever (P=.02), AIDS (P<.001), syphilis (P<.001), hepatitis C (P<.001) and hepatitis E (P=.04) exhibited significant upward trends. Furthermore, measles (P<.001), bacillary and amebic dysentery (P<.001), malaria (P=.04), dengue fever (P=.006), brucellosis (P=.03), and tuberculosis (P=.003) exhibited significant seasonal patterns. We observed marked disease burden-related geographic disparities and heterogeneities. Notably, high-risk areas for various infectious diseases have remained relatively unchanged since 2005. In particular, hemorrhagic fever and brucellosis were largely concentrated in Northeast China; neonatal tetanus, typhoid and paratyphoid, Japanese encephalitis, leptospirosis, and AIDS in Southwest China; BAD in North China; schistosomiasis in Central China; anthrax, tuberculosis, and hepatitis A in Northwest China; rabies in South China; and gonorrhea in East China. However, the geographical distribution of syphilis, scarlet fever, and hepatitis E drifted from coastal to inland provinces during 2005-2020. CONCLUSIONS: The overall infectious disease burden in China is declining; however, hepatitis C and E, bacterial infections, and sexually transmitted infections continue to multiply, many of which have spread from coastal to inland provinces.

Antitumor Effect of Si-Jun-Zi Decoction on SGC7901 Gastric Cancer Cells by CMTM2 Activation.

The Si-Jun-Zi decoction (SJZ), a traditional Chinese medicine (TCM) formula, is used clinically against multiple malignancies, including gastric cancer (GC). In previous study, we have shown that SJZ plays an anticancer role in SGC7901 cell xenograft mice models. However, the underlying mechanisms are unclear. The objective of this study was to evaluate the effect and mechanism of SJZ on the proliferation, migration, invasion, and cancer stem cell-like properties of GC cells. High-throughput mRNA sequencing analysis was performed to investigate the global alterations in gene expression in xenograft tumors, and 56 significantly differentially expressed genes (43 upregulated and 13 downregulated genes) were identified between the SJZ group and the Model group totally. We focused on CMTM2, which was significantly increased after SJZ intervention, as a candidate target gene of SJZ. The results indicated that CMTM2 expression was elevated in SJZ-treated SGC7901 cells and knocking-down CMTM2 expression partially hampered the inhibitory effects of SJZ on the proliferation, migration, and invasion of GC cells. Moreover, SJZ treatment repressed the spheroid and colony-forming capacity in GC cells, accompanied by downregulation of stem cell markers including SOX2, NANOG, and CD44. CMTM2 knockdown antagonized the effects of SJZ on the cancer stem cell-like properties of SGC7901 cells. Thus, SJZ effectively suppressed the proliferation, migration, invasion, and cancer stem cell-like properties of GC cells in vitro by upregulating CMTM2 expression.

Effects of Acupuncture Combined with Biofeedback Therapy on Limb Motor Rehabilitation in Patients with Acute Stroke: Systematic Review and Meta-Analysis.

Objective: The purpose of the systematic review is to verify the effect of biofeedback therapy on limb motor rehabilitation in patients with acute stroke and to provide evidence-based medicine for the promotion and use of biofeedback therapy. Methods: The randomized controlled trials (RCT) of biofeedback therapy in the treatment of cerebral palsy were searched in PubMed, EMBASE, ScienceDirect, Cochrane Library, China National Knowledge Infrastructure (CNKI), China VIP Database, Wanfang Database, and Chinese Biomedical Literature Database (CBM). The starting time and ending time of this study are from the time of building the database of the number of pieces to October 31, 2018. The data included in this study were extracted by two independent researchers and evaluated the bias risk of all the literature included in the study according to the Cochrane manual 5.1.0 criteria. RevMan5.4 statistical software was used to analyze the collected data by meta. Results: This systematic review included 9 RCT studies with a total of 1410 patients. The results of meta-analysis showed that there were significant differences in the improvement of lower limb muscle tension, comprehensive spasm scale score, EMG score, and passive range of motion of ankle joint between biofeedback therapy and routine rehabilitation therapy. Conclusion: Biofeedback therapy can improve lower limb muscle tension, spasticity, EMG integral value, and passive range of motion of ankle joint in children with cerebral palsy and provide better conditions for improving the motor ability of lower extremities in children with cerebral palsy. However, more studies and follow-up with higher methodological quality and longer intervention time are needed to further verify.

Low Hysteresis and Fatigue-Resistant Polyvinyl Alcohol/Activated Charcoal Hydrogel Strain Sensor for Long-Term Stable Plant Growth Monitoring.

Flexible strain sensor as a measurement tool plays a significant role in agricultural development by long-term stable monitoring of the dynamic progress of plant growth. However, existing strain sensors still suffer from severe drawbacks, such as large hysteresis, insufficient fatigue resistance, and inferior stability, limiting their broad applications in the long-term monitoring of plant growth. Herein, we fabricate a novel conductive hydrogel strain sensor which is achieved through uniformly dispersing the conductive activated charcoal (AC) in high-viscosity polyvinyl alcohol (PVA) solution forming a continuous conductive network and simple preparation by freezing-thawing. The as-prepared strain sensor demonstrates low hysteresis (<1.5%), fatigue resistance (fatigue threshold of 40.87 J m−2), and long-term sensing stability upon mechanical cycling. We further exhibit the integration and application of PVA-AC strain sensor to monitor the growth of plants for 14 days. This work may offer an effective strategy for monitoring plant growth with conductive hydrogel strain sensor, facilitating the advancement of agriculture.

High-Throughput Sequencing Reveals the Differential MicroRNA Expression Profiles of Human Gastric Cancer SGC7901 Cell Xenograft Nude Mouse Models Treated with Traditional Chinese Medicine Si Jun Zi Tang Decoction.

Objective. The present study aimed to investigate the potential mechanism underlying the antitumor effect of Si Jun Zi Tang (SJZT) decoction on gastric cancer. Methods. Twelve human gastric cancer SGC7901 cell xenograft nude mouse models were established. The mice were randomly divided into the Model group and SJZT group. SJZT exerted significant antitumor effects after 21 days of decoction administration. High-throughput sequencing was used to analyze the microRNA (miRNA) expression profiles of tumor tissues. Bioinformatics analysis was performed to provide further information regarding the differentially expressed miRNAs. Five representative differentially expressed miRNAs and four predicted target genes were further validated using quantitative real-time reverse transcription PCR (qRT-PCR). Results. We identified 33 miRNAs that were differentially expressed in the SJZT group compared with the Model group. Among them, 32 miRNAs were upregulated and 1 miRNA was downregulated. Bioinformatic analysis showed that most of miRNAs acted as tumor suppressors and their target genes participated in multiple signaling pathways, including the PI3K/Akt signaling pathway, microRNAs in cancer, and Wnt signaling pathway. The qRT-PCR result confirmed that miR-223-3p, miR-205-5p, miR-147b-3p, and miR-223-5p were overexpressed and their respective paired target genes FUT9, POU2F1, MUC4, and RAB14 mRNA were obviously downregulated in the SJZT group compared with those in the Model group. Network analysis revealed that miR-223-3p and miR-205-5p shared two targets POU2F1 (encoding POU class 2 homeobox 1) and FUT9 (encoding fucosyltransferase 9), suggesting they have a common role in certain pathways. Conclusion. This study provided novel insights into the anticancer mechanism of SJZT against gastric cancer, which might be partly related to the modulation of miRNA expression and their target pathways in tumors.

[Mechanism of puerarin reversing SH-SY5Y cell injury induced by Aß_(1-42) based on proteomics].

Puerarin has the anti-Alzheimer's disease (AD) activity,which can reverse nerve injury induced by Aßand inhibit neuronal apoptosis.However,its potential pharmacodynamic mechanism still needs to be further researched.The occurrence and development of AD is due to the change of multiple metabolic links in the body,which leads to the destruction of balance.Puerarin may act on multiple targets and multiple metabolic processes to achieve therapeutic purposes.Quantitative proteomic analysis provides a new choice to understand the mechanism as completely as possible.This research adopted SH-SY5Y cells induced by Aß_(1-42)to establish AD cell model,and Aßimmunofluorescence detection showed that Aßdecreased significantly after puerarin intervention.The mechanism of puerarin reversing SH-SY5Y cell injured by Aß_(1-42)was further explored by using label-free non-labeled quantitative technology and Western blot detection based on bioinformatics analysis result.The results showed that most of the differential proteins were related to biological processes such as cellular component organization or biogenesis,cellular component organization and cellular component biogenesis,and they mainly participated in the top ten pathways of P value such as pathogenic Escherichia coli infection,m TOR signaling pathway,regulation of autophagy,regulation of actin cytoskeleton,spliceosome,hepatocellular carcinoma,tight junction,non-small cell lung cancer,apoptosis and gap junction.Annexin V/PI flow cytometry and TUNEL were used to detect apoptosis,and the results showed that Aßdecreased significantly and the rate of apoptosis decreased significantly after puerarin intervention.Western blot analysis found that the protein expression level of autophagy related protein LC3Ⅱwas up-regulated after Aßinduction,and the degree of this up-regulation was further enhanced in puerarin intervention group.The trend of the ratio of LC3Ⅱ/LC3Ⅰamong groups was the same as the protein expression level of LC3Ⅱ，the protein expression level of p62 in the control group,AD model group and puerarin intervention group decreased successively.Protein interaction network analysis showed that CAP1 was correlated with TUBA1B,HSP90AB2P,DNM1L,TUBA1A and ERK1/2,and the correlation between CAP1 and ERK1/2 was the highest among them.Western blot showed that the expressions of p-ERK1/2,Bax and CAP1 were significantly down-regulated and the protein expression level of Bcl-2 was significantly up-regulated after puerarin intervention.Therefore,puerarin might improve the SH-SY5Y cells injured by Aß_(1-42)through the interaction of multiple biological processes and pathways in cells multiple locations,and CAP1 might play an important role among them.

Deferoxamine Counteracts Cisplatin Resistance in A549 Lung Adenocarcinoma Cells by Increasing Vulnerability to Glutamine Deprivation-Induced Cell Death.

Glutamine, like glucose, is a major nutrient consumed by cancer cells, yet these cells undergo glutamine starvation in the cores of tumors, forcing them to evolve adaptive metabolic responses. Pharmacologically targeting glutamine metabolism or withdrawal has been exploited for therapeutic purposes, but does not always induce cancer cell death. The mechanism by which cancer cells adapt to resist glutamine starvation in cisplatin-resistant non-small-cell lung cancer (NSCLC) also remains uncertain. Here, we report the potential metabolic vulnerabilities of A549/DDP (drug-resistant human lung adenocarcinoma cell lines) cells, which were more easily killed by the iron chelator deferoxamine (DFO) during glutamine deprivation than their parental cisplatin-sensitive A549 cells. We demonstrate that phenotype resistance to cisplatin is accompanied by adaptive responses during glutamine deprivation partly via higher levels of autophagic activity and apoptosis resistance characteristics. Moreover, this adaptation could be explained by sustained glucose instead of glutamine-dominant complex II-dependent oxidative phosphorylation (OXPHOS). Further investigation revealed that cisplatin-resistant cells sustain OXPHOS partly via iron metabolism reprogramming during glutamine deprivation. This reprogramming might be responsible for mitochondrial iron-sulfur [Fe-S] cluster biogenesis, which has become an "Achilles' heel," rendering cancer cells vulnerable to DFO-induced autophagic cell death and apoptosis through c-Jun N-terminal kinase (JNK) signaling. Finally, in vivo studies using xenograft mouse models also confirmed the growth-slowing effect of DFO. In summary, we have elucidated the adaptive responses of cisplatin-resistant NSCLC cells, which balanced stability and plasticity to overcome metabolic reprogramming and permitted them to survive under stress induced by chemotherapy or glutamine starvation. In addition, for the first time, we show that suppressing the growth of cisplatin-resistant NSCLC cells via iron chelator-induced autophagic cell death and apoptosis was possible with DFO treatment. These findings provide a solid basis for targeting mitochondria iron metabolism in cisplatin-resistant NSCLC for therapeutic purposes, and it is plausible to consider that DFO facilitates in the improvement of treatment responses in cisplatin-resistant NSCLC patients.

The Regulation of Exosome-Derived miRNA on Heterogeneity of Macrophages in Atherosclerotic Plaques.

Exosomes are nanosized vesicles secreted by most cells, which can deliver a variety of functional lipids, proteins, and RNAs into the target cells to participate in complex intercellular communications. Cells respond to certain physical, chemical, and biological stimuli by releasing exosomes. Exosomes are rich in small molecules of RNA, including miRNAs and mRNAs, which have been demonstrated to have certain functions in recipient cells. Recent studies on single-cell RNA sequences have revealed the transcription and the heterogeneity of macrophages in Ldlr-/-mice fed with a high-fat diet. Five macrophage populations were found in the atherosclerotic plaques. It is worth noting that these subset populations of macrophages seem to be endowed with different functions in lipid metabolism and catabolism. A total of 100 differentially expressed mRNAs were selected for these subset populations. Importantly, these macrophage populations were also present in human advanced atherosclerosis. To clarify the specific functions and the regulatory mechanism of these macrophage populations, we extracted exosome RNAs from the plasma of patients with chronic coronary artery disease (CAD) and performed RNA sequencing analysis. Compared with the healthy control, a total of 14 miRNAs were significantly expressed in these patients. A total of 5,248 potential mRNAs were predicted by the bioinformatics platform. Next, we determined the outcome of the intersection of these predicted mRNAs with 100 mRNAs expressed in the above-mentioned five macrophage populations. Based on the screening of miRNA-mRNA pairs, a co-expression network was drawn to find out the key RNAs. Three down-regulated miRNAs and five up-regulated mRNAs were selected for validation by real-time RT-PCR. The results showed that the expression of miR-4498 in plasma exosomes was lower than that in the healthy control, and the expressions of Ctss, Ccr2 and Trem2 mRNA in peripheral blood mononuclear cells isolated from CAD patients were higher. In order to clarify the regulatory mechanism, we established a co-culture system in vitro. Studies have shown that the uptake of exosomes from CAD patients can up-regulate the expression of Ctss, Trem2, and Ccr2 mRNA in THP-1 cells induced by lipopolysaccharide. Our findings revealed a unique relationship between the transcriptional signature and the phenotypic heterogeneity of macrophage in the atherosclerotic microenvironment.

Reliability of induced sputum test is greater than that of throat swab test for detecting SARS-CoV-2 in patients with COVID-19: A multi-center cross-sectional study.

We previously reported that sputum induction was more sensitive than throat swabs for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in two convalescent coronavirus disease 2019 (COVID-19) patients; however, the value and safety of induced sputum testing require further study. We conducted a prospective multi-center cross-sectional study to compare induced sputum to throat swabs for SARS-CoV-2 detection. Confirmed COVID-19 patients from six hospitals in six cities across China who received one or more negative RT-PCR result for SARS-CoV-2 were enrolled, and paired specimens (induced sputum and throat swabs; 56 cases) were assayed. In three paired samples, both the induced sputum and throat swabs were positive for SARS-CoV-2. The positive rate for induced sputum was significantly higher than for throat swabs both overall (28.6% vs 5.4%, respectively; p < 0.01). Patients were divided according to time span from onset of illness to sample collection into the more-than-30-day (n = 26) and less-than-30-day (n = 30) groups. The positive rate for induced sputum was also significantly higher than for throat swabs in the less-than-30-day group (53.3% vs 10.0%, respectively; p < 0.001). For the more-than-30-day group, all paired samples were negative for SARS-CoV-2. Blood oxygen saturation, respiratory rate, and heart rate remained stable during sputum induction and no staff were infected. Because induced sputum is more reliable and has a lower false-negative rate than throat swabs, we believe induced sputum is more useful for the confirmation of COVID-19 and is safer as a criterion for release from quarantine.

The regulated profile of noncoding RNAs associated with inflammation by tanshinone IIA on atherosclerosis.

Atherosclerosis (AS) is the principal cause of heart attack, sudden cardiac death, stroke, and necrosis of the extremities, in which significant changes in gene expression associated with inflammation are found. However, the molecular mechanisms of AS are not clearly elucidated. In this study, ApoE-/- mice were fed with a high fat diet for 12 weeks to induce atherosclerosis and half of the mice were treated with tanshinone IIA (TAN). Then sequencing analysis was performed to investigate the expression patterns of ncRNAs in AS plaques obtained from mice treated with TAN and AS Model mice. A total of 22 long noncoding RNAs (lncRNAs), 74 microRNAs (miRNAs), 13 circular RNAs (circRNAs), and 1359 mRNAs in AS plaque were more significantly regulated from TAN mice, compared with model mice. Bioinformatics tools and databases were employed to investigate the potential ncRNA functions and their interaction. Our data showed that the most significantly pathways regulated by TAN were associated with inflammation, and involved in the signaling pathways of Ras, Rap1, MAPK, cAMP, T cell receptor, and so on. In addition, the competitive endogenous RNA (ceRNA) network had been constructed and the core nodes included circ-Tns3/let-7d-5p/Ctsl, circ-Wdr91/miR-378a-5p/Msr1, and circ-Cd84/ miR-30c/ Tlr2. The DERNAs were validated by quantitative RT-PCR and dual luminescence reporter assay in RAW264.7 cells in vitro. This study identified ceRNAs network regulated by TAN and elucidated the ncRNAs profile and signal pathways to attenuate AS comprehensively. This research would contribute to further research on the pathogenesis of AS, and facilitate the development of novel therapeutics targeting ncRNAs.

Development and characterization of 16 novel microsatellite markers by Transcriptome sequencing for Angelica dahurica and test for cross-species amplification.

BACKGROUND: Angelica dahurica (Apiaceae) is an important herb in traditional Chinese medicine. Because of its important medicinal and economic values, its wild resources were over-exploited and increasingly reduced. Meanwhile, the diversity of cultivars of A. dahurica has decreased as a result of long-term artificial cultivation. However, there are no population genetics studies of natural A. dahurica reported yet, especially for using microsatellite markers (SSRs) to investigate population genetics of the species. RESULTS: Sixteen polymorphic EST-SSR loci were isolated from A. dahurica with transcriptome sequencing technology (RNA-Seq). The number of alleles varied from 2 to 15 per polymorphic locus over populations with the observed and expected heterozygosities ranging from 0.000 to 1.000 and from 0.000 to 0.829, respectively. Significant deviations from Hardy-Weinberg equilibrium were observed at 8 loci. Tests of linkage disequilibrium showed 11 informative locus pairs were significant across all populations. Cross-species amplification showed that 14 out of 16 SSR loci have the transferability in cultivar-A. dahurica cv. 'Hangbaizhi' and A. decursiva. CONCLUSIONS: The 16 newly developed loci microsatellite primers with RNA-Seq will be useful for further investigating population genetics of A. dahurica, cultivars and other members of this genus.

Tanshinone IIA protects mice against atherosclerotic injury by activating the TGF-ß/PI3K/Akt/eNOS pathway.

OBJECTIVE: Explored the mechanism of action of tanshinone IIA (TIIA) against atherosclerosis. METHODS: ApoE mice were divided into two groups of 10: model and TIIA. A control group of 10 wild-type mice was created. ApoE mice were fed a high-fat diet for 12 weeks. The TIIA group received TIIA once daily. Mice were anesthetized, blood collected by cardiac puncture, and the aortic sinus/arch collected for histology and molecular studies, respectively. RESULTS: Mice intima in the model group had large areas of plaque formation, serum levels of total cholesterol (TC), triglycerides, and low-density lipoprotein-cholesterol (LDL-C) increased significantly, and high-density lipoprotein-cholesterol (HDL-C) levels decreased significantly in the model group after 12 weeks. Staining [hematoxylin and eosin (H&E), Oil-Red-O] showed that the aorta had lesions, a higher degree of plaque formation, and considerable lipid deposition in model-group mice. After TIIA treatment, expression of HDL-C was increased significantly and that of TC, triglycerides and LDL-C decreased significantly, and plaque size and lipid deposition improved obviously. Analyses of protein phosphorylation in aortic tissue suggested that the transforming growth factor (TGF)-ß/phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt)/endothelial nitric oxide synthase (eNOS) pathway was activated in TIIA-treated mice. CONCLUSION: TIIA can lower levels of serum lipids, stabilize atherosclerotic plaques, reduce endothelial injury, and inflammatory damage by activation of the TGF-ß/PI3K/Akt/eNOS pathway.

miR-378a Modulates Macrophage Phagocytosis and Differentiation through Targeting CD47-SIRPα Axis in Atherosclerosis.

BACKGROUND: Signal regulatory protein alpha (SIRPa) is an essential signalling molecule that modulates inflammatory responses in macrophages. However, the regulation of SIRPs and its dynamic changes in macrophages under inflammatory stimulation in atherosclerosis remain uncertain. OBJECTIVE: The study aimed to identify the miRNAs that regulate SIRPa transcription and their roles in modulating phagocytosis, differentiation and cholesterol efflux in macrophages. METHODS: ApoE knockout mice were fed with a high-fat diet for 12 weeks. Intimal lesion areas and lipid accumulation were assessed by haematoxylin and eosin (HE) and oil red O staining. The expression of mRNAs/miRNAs was assessed by RNA-seq (RNA sequencing) and RT-qPCR (real-time quantitative polymerase chain reaction). The identification of miR-378a associated with SIRPa regulation in macrophages induced by ox-LDL was confirmed by RT-qPCR and Western blot. The phagocytosis and differentiation of macrophages were detected to figure out the role of miR-378a and SIRPa. RESULTS: SIRPa was proved to be a target of miR-378a. Reduced miR-378a can promote the expression of SIRPa. RNA-seq data showed that the levels of mRNA associated with macrophage phenotypes and SIRPa-CD47 axis were increasing significantly with a decreasing phagocytic phenotype in ApoE-/- mice vs wild-type (WT) mice (P < 0.01). The level of miR-378a was reduced in the aorta of ApoE-/- mice vs WT mice. The experiment in vitro showed that overexpression of miR-378a in macrophages decreased the level of Sirpa mRNA obviously vs control (P < 0.01). The phagocytic activity of miR-378a-transfected macrophages was promoted vs control (P < 0.05). miR-378a significantly depleted Sirpa levels in oxidized low-density lipoprotein (ox-LDL)-stimulated macrophages (P < 0.05), and depletion of miR-378a reversed Sirpa reduction obviously (P < 0.05). miR-378a promoted the secretion of TNF-a and IL-6 indirectly. CONCLUSION: It has been demonstrated that miR-378a regulates SIRPa-mediated phagocytosis and polarization of macrophages by a direct or indirect way. This research may provide a new path to promote reverse cholesterol transport of macrophages and hinder the progress of atherosclerosis.

Tanshinone IIA harmonizes the crosstalk of autophagy and polarization in macrophages via miR-375/KLF4 pathway to attenuate atherosclerosis.

Macrophages play a pivotal role in destabilizing atherosclerotic plaque. The diverse phenotypes and complex autophagy in macrophage are observed in atherosclerotic lesions. Tanshinone IIA (TNA) is known as the major component extracted from the root of Chinese herb Salvia miltiorrhiza, used for treatment of cardiovascular diseases. However, the therapeutic mechanism of TNA is not clear yet. In this study, we identified inflammation-related gene expression by microarray in atherosclerotic plaques in ApoE knockout mice fed with high fat diet and found miR-375 was one of the significantly high expressed microRNAs compared with wild type mice and TNA treated mice. Then we compared the levels of proteins related to the signal pathway of autophagy, and the phenotype of macrophages in atherosclerotic plaques ex vivo. We predicted KLF4 might be the key target of miR-375 that mediated the crosstalk between autophagy and polarization by TNA. Furthermore, we detected the expression of signal pathway in ox-LDL induced macrophages after treatment with TNA in vitro to verify this predict. The results suggest TNA could activate KLF4 and enhance autophagy as well as M2 polarization of macrophages by inhibiting miR-375 to Attenuate Atherosclerosis.

The complete chloroplast genome sequence of Ficus hirta (Moraceae).

The dry root (Radix Fici Hirtae) of Ficus hirta has been used as a traditional herbal medicine in Ling nan regions of China for a long time. As its large market demand, the wild resources of F. hirta have sharply reduced. It is necessary to conduct the study of conservation genetics. However, there is still lack of complete genome information for the research on evolutionary biology, population genetics and phylogeography of this species. Here, we sequenced the complete chloroplast (CP) genome of F. hirta using Next Generation Sequencing technology (NGS). The CP genome of F. hirta is 160,374 bp in length, which contains a large single-copy (LSC) region of 88,446 bp, a small sing-copy (SSC) region of 18,134 bp, and two inverted repeat (IRa and IRb) regions of 26,897 bp. A total of 130 genes were successfully annotated containing 85 protein-coding genes, 37 tRNA genes and 8 rRNA genes. Phylogenetic analysis support genus Ficus is monophyletic and F. hirta is closely related to F. carica within this genus.

Characterization of the complete plastid genome of Rauvolfia verticillata (Apocynaceae), with its phylogenetic analysis.

Rauvolfia verticillata is a medical plant (Apocynaceae) widely distributed from India to China, the Indo-China Peninsula, Indonesia, and the Philippines. The first complete plastid genome sequence of the species reported here was 155,856 bp in length, with the large single-copy (LSC) region of 86,085 bp, the small single-copy (SSC) region of 18,299 bp, and two inverted repeats (IRa and IRb) of 25,736 bp. The plastome contained 113 unique genes, including 79 protein-coding genes, 4 ribosomal RNA genes, and 30 transfer RNA genes. The overall GC content was 37.92%. The result from phylogenetic analysis suggests that Rauvolfia is closely related to the genus Catharanthus.