CaWRKY20 Negatively Regulates Plant Resistance to Colletotrichum scovillei in Pepper.

Chili anthracnose, a fungal disease caused by Colletotrichum scovillei, is among the most devastating diseases affecting pepper (Capsicum annuum L.). Although WRKY transcription factors play important roles in plant immunity, it is unknown how WRKY gene family members contribute to pepper plant resistance to C. scovillei. Here, CaWRKY20 was found to negatively regulate pepper resistance to C. scovillei, which was demonstrated by virus-induced gene silencing and transient overexpression in pepper. Moreover, overexpression of CaWRKY20 enhanced susceptibility to C. scovillei in tomato. Additionally, our findings demonstrated that CaWRKY20 can indirectly regulate the expression of salicylic acid (SA)-related defense genes (CaPR1, CaPR10 and CaSAR8.2) as well as reactive oxygen species (ROS)-scavenging enzyme genes (CaCAT, CaPOD and CaSOD) in response to C. scovillei. In addition, CaWRKY20 was found to interact with CaMIEL1 in the nucleus to regulate the defense response to C. scovillei in pepper. Furthermore, CaWRKY20 directly bound to the W-box in the promoter of SYSTEMIC ACQUIRED RESISTANCE DEFICIENT 1 (CaSARD1) and suppressed its expression, resulting in reduced resistance to C. scovillei. These results will clarify the mechanism by which WRKY transcription factors are involved in pepper disease resistance and can thus facilitate molecular breeding for anthracnose-resistant varieties.

A study on the application of radiomics based on cardiac MR non-enhanced cine sequence in the early diagnosis of hypertensive heart disease.

BACKGROUND: The prevalence of hypertensive heart disease (HHD) is high and there is currently no easy way to detect early HHD. Explore the application of radiomics using cardiac magnetic resonance (CMR) non-enhanced cine sequences in diagnosing HHD and latent cardiac changes caused by hypertension. METHODS: 132 patients who underwent CMR scanning were divided into groups: HHD (42), hypertension with normal cardiac structure and function (HWN) group (46), and normal control (NOR) group (44). Myocardial regions of the end-diastolic (ED) and end-systolic (ES) phases of the CMR short-axis cine sequence images were segmented into regions of interest (ROI). Three feature subsets (ED, ES, and ED combined with ES) were established after radiomic least absolute shrinkage and selection operator feature selection. Nine radiomic models were built using random forest (RF), support vector machine (SVM), and naive Bayes. Model performance was analyzed using receiver operating characteristic curves, and metrics like accuracy, area under the curve (AUC), precision, recall, and specificity. RESULTS: The feature subsets included first-order, shape, and texture features. SVM of ED combined with ES achieved the highest accuracy (0.833), with a macro-average AUC of 0.941. AUCs for HHD, HWN, and NOR identification were 0.967, 0.876, and 0.963, respectively. Precisions were 0.972, 0.740, and 0.826; recalls were 0.833, 0.804, and 0.863, respectively; and specificities were 0.989, 0.863, and 0.909, respectively. CONCLUSIONS: Radiomics technology using CMR non-enhanced cine sequences can detect early cardiac changes due to hypertension. It holds promise for future use in screening for latent cardiac damage in early HHD.

[Modular pharmacology: research progress and development of analysis platform].

Based on the systematic deconstruction of multi-dimensional and multi-target biological networks, modular pharmacology explains the complex mechanism of diseases and the interactions of multi-target drugs. It has made progress in the fields of pathogenesis of disease, biological basis of disease and traditional Chinese medicine(TCM) syndrome, pharmacological mechanism of multi-target herbs, compatibility of formulas, and discovery of new drug of TCM compound. However, the complexity of multi-omics data and biological networks brings challenges to the modular deconstruction and analysis of the drug networks. Here, we constructed the "Computing Platform for Modular Pharmacology" online analysis system, which can implement the function of network construction, module identification, module discriminant analysis, hub-module analysis, intra-module and inter-module relationship analysis, and topological visualization of network based on quantitative expression profiles and protein-protein interaction(PPI) data. This tool provides a powerful tool for the research on complex diseases and multi-target drug mechanisms by means of modular pharmacology. The platform may have broad range of application in disease modular identification and correlation mechanism, interpretation of scientific principles of TCM, analysis of complex mechanisms of TCM and formulas, and discovery of multi-target drugs.

Ultracompact Vernier-effect-improved sensor by a single microfiber-knot resonator.

Fiber-optic sensors are an indispensable element of modern sensing technologies by virtue of their low cost, excellent electromagnetic immunity, and remote sensing capability. Optical Vernier effect is widely used to enhance sensitivity of fiber-optic sensors but requires bulky and complex cascaded interferometers. Here we propose and experimentally demonstrate an ultracompact (∼2 mm by ∼2 mm) Vernier-effect-improved sensor by only using a single microfiber-knot resonator. With the Vernier effect achieved by controlling the optical beating with the spectral ripple of a super light emitting diode (SLED), we show ∼20x sensitivity enhancement for quantitative temperature monitoring. Our sensor creates a new practical method to realize Vernier effect in fiber-optic sensors and beyond.

[Post-marketing effectiveness evaluation of traditional Chinese medicine in paradigm based on "proving efficacy, conforming standard, and exploring mechanism":a case study of Danhong Injection].

At present, new concepts, new technologies, and new methods are emerging in the field of medical research, breaking through the inherent thinking patterns and research models, and promoting the transformation of the research paradigm of traditional Chinese medicine(TCM). This paper gave a case study of clinical research in Danhong Injection in the treatment of chronic stable angina, and based on the background of the study, index evaluation model, experimental design method, blind implementation of placebo, data management system, and exploration of clinical efficacy mechanism of traditional Chinese medicine compounds under the framework of modular pharmacology, the scientific idea of "proving efficacy, conforming standard, and exploring mechanism" was used as the guideline to discuss the research model of reevaluation of the effectiveness of post-marketing TCM varieties. This paper drew a target network map of Danhong Injection in the treatment of chronic stable angina for the first time, which was composed of targeted functional modules. By combining evidence-based clinical research with modular pharmacology framework, changes in the pharmacolo-gical mechanism were finally associated with changes in clinical efficacy, and the advantages of phenotypic correlation of efficacy were explored. This study is expected to provide references for the post-marketing effectiveness evaluation and new ideas for the phenotypic pharmacological mechanism study of multi-target TCM compounds and precise treatment, thereby promoting the innovative development of TCM.

[Expert consensus on core indicators for lifecycle value assessment of Chinese patent medicine].

The establishment of core indicators for assessment plays an important role in carrying out the lifecycle value assessment of Chinese patent medicine, which are developed based on the concepts such as clinical value oriented, paying attention to the human use experience, and whole process quality control. To this end, the Specialty Committee of Data Monitoring and Decision Making of the World Federation of Chinese Medicine Societies organized experts to draft the Expert Consensus on Core Indicators for Lifecycle Value Assessment of Chinese Patent Medicine based on the research including Chinese Medicine Registration Review Evidence System in Combination of Traditional Chinese Medicine Theory, Human Use Experience, and Clinical Trials(GZY-FJS-2022-206) by National Administration of Traditional Chinese Medicine. This consensus proposed 92 core indicators from four stages, including new drug R&D project approval, pre-clinical research, new drug marketing authorization, and post-marketing, combining the assessment purposes and needs of different stakeholders from different dimensions such as clinical needs, clinical positioning, human use experience, effectiveness, safety, quality control, innovation, accessibility, and suitability. This consensus also interpreted the indicators to clearly elucidate the core elements of the value assessment of Chinese patent medicine in different R&D stages and guided the stakeholders to identify, analyze, and assess the value of Chinese patent medicine in the R&D and use process based on the core indicators in a scientific, objective, and standardized approach. This consensus is expected to play an important role in the high-quality new drug development, drug pricing and compensation of Chinese patent medicine, the development of clinical pathways, and rational clinical application.

Modular networks and genomic variation during progression from stable angina pectoris through ischemic cardiomyopathy to chronic heart failure.

BACKGROUND: Analyzing disease-disease relationships plays an important role for understanding etiology, disease classification, and drug repositioning. However, as cardiovascular diseases with causative links, the molecular relationship among stable angina pectoris (SAP), ischemic cardiomyopathy (ICM) and chronic heart failure (CHF) is not clear. METHODS: In this study, by integrating the multi-database data, we constructed paired disease progression modules (PDPMs) to identified relationship among SAP, ICM and CHF based on module reconstruction pairs (MRPs) of K-value calculation (a Euclidean distance optimization by integrating module topology parameters and their weights) methods. Finally, enrichment analysis, literature validation and structural variation (SV) were performed to verify the relationship between the three diseases in PDPMs. RESULTS: Total 16 PDPMs were found with K > 0.3777 among SAP, ICM and CHF, in which 6 pairs in SAP-ICM, 5 pairs for both ICM-CHF and SAP-CHF. SAP-ICM was the most closely related by having the smallest average K-value (K = 0.3899) while the maximum is SAP-CHF (K = 0.4006). According to the function of the validation gene, inflammatory response were through each stage of SAP-ICM-CHF, while SAP-ICM was uniquely involved in fibrosis, and genes were related in affecting the upstream of PI3K-Akt signaling pathway. 4 of the 11 genes (FLT1, KDR, ANGPT2 and PGF) in SAP-ICM-CHF related to angiogenesis in HIF-1 signaling pathway. Furthermore, we identified 62.96% SVs were protein deletion in SAP-ICM-CHF, and 53.85% SVs were defined as protein replication in SAP-ICM, while ICM-CHF genes were mainly affected by protein deletion. CONCLUSION: The PDPMs analysis approach combined with genomic structural variation provides a new avenue for determining target associations contributing to disease progression and reveals that inflammation and angiogenesis may be important links among SAP, ICM and CHF progression.

The CBL-interacting protein kinase CaCIPK13 positively regulates defence mechanisms against cold stress in pepper.

Cold stress is one of the main factors limiting growth and development in pepper. Calcineurin B-like proteins (CBLs) are specific calcium sensors with non-canonical EF-hands to capture calcium signals, and interact with CBL-interacting protein kinases (CIPKs) in the regulation of various stresses. In this study, we isolated a cold-induced CIPK gene from pepper named CaCIPK13, which encodes a protein of 487 amino acids. In silico analyses indicated that CaCIPK13 is a typical CIPK family member with a conserved NAF motif, which consists of the amino acids asparagine, alanine, and phenylalanine. The CaCIPK13 protein was located in the nucleus and plasma membrane. Knock down of CaCIPK13 resulted in enhanced sensitivity to cold stress in pepper, with increased malondialdehyde content, H2O2 accumulation, and electrolyte leakage, while the catalase, peroxidase, superoxide dismutase activities and anthocyanin content were decreased. The transcript level of cold and anthocyanin-related genes was substantially decreased in CaCIPK13-silenced pepper leaves relative to the empty vector control. On the contrary, overexpression of CaCIPK13 in tomato improved cold tolerance via increasing anthocyanin content and activities of reactive oxygen species scavenging enzymes. Furthermore, the interaction of CaCIPK13 with CaCBL1/6/7/8 was Ca2+-dependent. These results indicate that CaCIPK13 plays a positive role in cold tolerance mechanism via CBL-CIPK signalling.

Citronellal alleviates doxorubicin-induced cardiotoxicity by suppressing oxidative stress and apoptosis via Na+ /H+ exchanger-1 inhibition.

The medical usage of Doxorubicin (DOX) as a chemotherapeutic agent is restricted owing to its cardiotoxic properties. This study was designed to explore the effect and underlying mechanisms of Citronellal (CT) on DOX-related cardiotoxicity in rats. Rats were divided into six groups: control, DOX, CT, Lithium chloride (LiCl) (a Na+/H+exchanger-1 [NHE1] activator), DOX + CT, and DOX + CT + LiCl. To induce cardiotoxicity, a cumulative dose of 15 mg/kg DOX was intraperitoneally injected into rats. CT (150 mg/kg) and LiCl (1 mg/kg) were given daily by oral gavage for 6 weeks. CT improved cardiac functional parameters and attenuated the cardiac pathological changes induced by DOX. Further study indicated that CT administration regulated the levels of oxidative stress and apoptosis-related factors and in myocardial tissues, reducing cell per-oxidative damage and apoptosis. Besides this, CT attenuated DOX-induced NHE1 upregulation, and the preventive effects of CT against DOX-induced cardiotoxicity were abrogated by the concurrent administration of LiCl. These results demonstrate that CT could ameliorate DOX-induced cardiotoxicity by inhibiting the NHE1-mediated oxidative stress, apoptosis in rats.

Risk of Lymph Node Metastasis and Feasibility of Endoscopic Treatment in Ulcerative Early Gastric Cancer.

BACKGROUND: When the risk of lymph node metastasis (LNM) is considered minimal in patients with early gastric cancer (EGC), endoscopic submucosal dissection (ESD) is an effective alternative to radical resection. This study aims to estimate the feasibility of ESD for EGC with ulceration. PATIENTS AND METHODS: We retrospectively reviewed data from 691 patients who underwent gastrectomy for EGC with ulceration. Subsequently, a stratification system for lesions was created based on the expanded ESD criteria, and the associations between the subgroups and the rate of LNM were analyzed. RESULTS: LNM was confirmed in 16.5% (114/691) of patients. Univariate analysis demonstrated that age, sex, tumor size, macroscopic features, depth of invasion, tumor differentiation, Lauren type, lymphovascular invasion (LVI), and perineural invasion were associated with LNM. Multivariate analysis showed that LVI [odds ratio (OR) = 16.761, P < 0.001], SM1 invasion (OR = 2.159, P = 0.028), and SM2 invasion (OR = 3.230, P < 0.001) were independent risk factors for LNM. LNM occurred in undifferentiated mucosal tumors, with ulceration being 1.7% (2/116) when the lesion was smaller than 20 mm. Further stratification revealed that among lesions < 30 mm in size, undifferentiated tumors with SM1 invasion had a higher rate of LNM and a lower disease-free survival rate than differentiated tumors with SM1 invasion and tumors limited to the mucosal layer. CONCLUSIONS: Depth of invasion and LVI were strongly associated with LNM in ulcerative EGC. Endoscopic resection may be applicable for undifferentiated mucosal ulcerative EGC < 30 mm in size, and additional investigation is needed to evaluate its safety.

A comparative pharmacogenomic analysis of three classic TCM prescriptions for coronary heart disease based on molecular network modeling.

Traditional Chinese medicine (TCM) has evolved over several thousands of years, which has been shown to be efficacious in the treatment of ischemic heart disease. Three classical TCM prescriptions, namely Xuefu Zhuyu Decoction, Zhishi Xiebai Guizhi Decoction, and Gualou Xiebai Banxia Decoction, have been extensively used in the treatment of coronary heart disease (CHD). Based on molecular network modeling, we performed a comparative pharmacogenomic analysis to systematically determine the drug-targeting spectrum of the three prescriptions at molecular level. Wide-area target molecules of CHD were covered, which was a common feature of the three decoctions, demonstrating their therapeutic functions. Meanwhile, collective signaling involved metabolic/pro-metabolic pathways, driving and transferring pathways, neuropsychiatric pathways, and exocrine or endocrine pathways. These organized pharmacological disturbance was mainly focused on almost all stages of CHD intervention, such as anti-atherosclerosis, lipid metabolism, inflammation, vascular wall function, foam cells formation, platelets aggregation, thrombosis, arrhythmia, and ischemia-reperfusion injury. In addition, heterogeneity analysis of the global pharmacological molecular spectrum revealed that signaling crosstalk, cascade convergence, and key targets were tendentious among the three decoctions. After all, it is unadvisable to rank the findings on targeting advantages of the three decoctions. Comparative pharmacological evidence may provide an appropriate decoction scheme for individualized intervention of CHD.

The CBL-CIPK Pathway in Plant Response to Stress Signals.

Plants need to cope with multitudes of stimuli throughout their lifecycles in their complex environments. Calcium acts as a ubiquitous secondary messenger in response to numerous stresses and developmental processes in plants. The major Ca2+ sensors, calcineurin B-like proteins (CBLs), interact with CBL-interacting protein kinases (CIPKs) to form a CBL-CIPK signaling network, which functions as a key component in the regulation of multiple stimuli or signals in plants. In this review, we describe the conserved structure of CBLs and CIPKs, characterize the features of classification and localization, draw conclusions about the currently known mechanisms, with a focus on novel findings in response to multiple stresses, and summarize the physiological functions of the CBL-CIPK network. Moreover, based on the gradually clarified mechanisms of the CBL-CIPK complex, we discuss the present limitations and potential prospects for future research. These aspects may provide a deeper understanding and functional characterization of the CBL-CIPK pathway and other signaling pathways under different stresses, which could promote crop yield improvement via biotechnological intervention.

Celastrol inhibits growth and metastasis of human gastric cancer cell MKN45 by down-regulating microRNA-21.

Celastrol could inhibit cancer cell growth in vitro. However, effect(s) of celastrol on gastric cancer is not well studied. Therefore, we investigated the effects of celastrol on human gastric cancer cell line MKN45 and the underlying mechanisms. We found that celastrol inhibited cell proliferation, migration, and invasion and induced cell apoptosis and G2/M cell cycle arrest (p < .05, p < .01, or p < .001). Under celastrol treatment, overexpression of microRNA-21 (miR-21) increased cell viability, migration, and invasion and inhibited cell apoptosis compared with negative control (p < .05, p < .01, or p < .001). In addition, the phosphorylation of PTEN was significantly up-regulated, whereas PI3K, AKT, p65, and IκBα phosphorylation was statistically decreased by celastrol (p < .05 or p < .01) and then further reversed by miR-21 overexpression (p < .05 or p < .01). On the other side, miR-21 silence showed contrary results (p < .05) as relative to miR-21 overexpression. In conclusion, celastrol inhibits proliferation, migration, and invasion and inactivates PTEN/PI3K/AKT and nuclear factor κB signaling pathways in MKN45 cells by down-regulating miR-21.

Pure mechanistic analysis of additive neuroprotective effects between baicalin and jasminoidin in ischemic stroke mice.

Both baicalin (BA) and jasminoidin (JA) are active ingredients in Chinese herb medicine Scutellaria baicalensis and Fructus gardeniae, respectively. They have been shown to exert additive neuroprotective action in ischemic stroke models. In this study we used transcriptome analysis to explore the pure therapeutic mechanisms of BA, JA and their combination (BJ) contributing to phenotype variation and reversal of pathological processes. Mice with middle cerebral artery obstruction were treated with BA, JA, their combination (BJ), or concha margaritifera (CM). Cerebral infarct volume was examined to determine the effect of these compounds on phenotype. Using the hippocampus microarray and ingenuity pathway analysis (IPA) software, we exacted the differentially expressed genes, networks, pathways, and functions in positive-phenotype groups (BA, JA and BJ) by comparing with the negative-phenotype group (CM). In the BA, JA, and BJ groups, a total of 7, 4, and 11 specific target molecules, 1, 1, and 4 networks, 51, 59, and 18 canonical pathways and 70, 53, and 64 biological functions, respectively, were identified. Pure therapeutic mechanisms of BA and JA were mainly overlapped in specific target molecules, functions and pathways, which were related to the nervous system, inflammation and immune response. The specific mechanisms of BA and JA were associated with apoptosis and cancer-related signaling and endocrine and hormone regulation, respectively. In the BJ group, novel target profiles distinct from mono-therapies were revealed, including 11 specific target molecules, 10 functions, and 10 pathways, the majority of which were related to a virus-mediated immune response. The pure additive effects between BA and JA were based on enhanced action in virus-mediated immune response. This pure mechanistic analysis may provide a clearer outline of the target profiles of multi-target compounds and combination therapies.

[Analysis of adverse reactions' factors to Danhong injection--nested case control study by using hospital centralized monitoring data].

To study the adverse reactions' factors to Danhong injection in the real world. A multi-center, large sample and prospective hospital centralized monitoring method was adopted, and 30 888 cases of Danhong injection from 37 national 3A hospitals were collected to carry out a nested case control design study. These cases were divided into adverse reaction group and non-adverse group. Single factor logistic regression and multiple factor logistic regression were used to analyze data, and investigate the correlation between adverse reaction and gender, allergy history, methods of administration, and combined drug use. One hundred and eight cases of adverse reactions in 30 888 patients were determined, with an incidence of 0.35%. The results showed that Danhong injection combined with other medication(potassium mendoxine magnesium, thymic peptide, celecoxib, fumarate bisoprolol) with history of adverse reactions including scephalosporin allergy and proprietary Chinese medicine allergies had more adverse reactions than the control group(P<0.05, estimated coefficient>0), indicating that these six factors were the risk factors for the adverse reaction of Danhong injection. The adverse reaction of Danhong injection combined with the aspirin was less than that in the control group(P<0.05, estimated coefficient<0), indicating that the aspirin was a non-risk factor for the adverse reaction of Danhong injection. All the above results indicate that the adverse factors to Danhong injection include scephalosporin allergy, patent Chinese medicine allergy, Danhong injection combined with medication(potassium mendoxine magnesium, thymic peptide, celecoxib, fumarate bisoprolol), suggesting special attention shall be paid in clinical application.

Carbon nanotubes implanted manganese-based MOFs for simultaneous detection of biomolecules in body fluids.

Metal-organic frameworks (MOFs) have recently attracted much interest in electrochemical fields due to their controlled porosity, large internal surface area, and countless structural topologies. However, the direct application of single component MOFs is limited since they also exhibit poor electronic conductivity, low mechanical stability, and inferior electrocatalytic ability. To overcome these problems, we implanted multi-walled carbon nanotubes (MWCNTs) into manganese-based metal-organic frameworks (Mn-BDC) using a one-step solvothermal method and found that the introduction of MWCNTs can initiate the splitting of bulky Mn-BDC into thin layers. This splitting is highly significant in that it enhances the electronic conductivity and electrocatalytic ability of Mn-BDC. The constructed Mn-BDC@MWCNT composites were utilized as an electrode modifying material in the fabrication of an electrochemical sensor and then were used successfully for the determination of biomolecules in human body fluid. The sensor displayed successful detection performance with wide linear detection ranges (0.1-1150, 0.01-500, and 0.02-1100 µM for AA, DA and UA, respectively) and low limits of detection (0.01, 0.002, and 0.005 µM for AA, DA and UA, respectively); thus, this preliminary study presents an electrochemical biosensor constructed with a novel electrode modifying material that exhibits superior potential for the practical detection of AA, DA and UA in urine samples.

Nanostring-cluster hierarchical structured Bi2O3: synthesis, evolution and application in biosensing.

In the present study, a simple strategy was developed to fabricate a new Bi2O3 nanostring-cluster hierarchical structure. Precursor microrods composed of Bi(C2O4)OH were initially grown under hydrothermal conditions. After calcination in air, Bi(C2O4)OH microrods were carved into unique string-cluster structures by the gas produced during the decomposition process. To explain the formation mechanism, the effects of pyrolysis temperature and time on the morphology of the as-prepared samples were investigated and are discussed in detail. It was discovered that the nanostring-cluster-structured Bi2O3 consists of thin nanoplatelet arrays, which is advantageous for glucose enzyme immobilization and for designing biosensors. The resulting Bi2O3 structure showed an excellent capability in the modification of electrode surfaces in biosensors by enhancing the sensitivity, with good specificity and response time. Such qualities of a biosensor are ideal characteristics for glucose sensing performance and allow for further explorations of its application in other fields.

Phenotype-dependent alteration of pathways and networks reveals a pure synergistic mechanism for compounds treating mouse cerebral ischemia.

AIM: Our previous studies have showed that ursodeoxycholic acid (UA) and jasminoidin (JA) effectively reduce cerebral infarct volume in mice. In this study we explored the pure synergistic mechanism of these compounds in treatment of mouse cerebral ischemia, which was defined as synergistic actions specific for phenotype variations after excluding interference from ineffective compounds. METHODS: Mice with focal cerebral ischemia were treated with UA, JA or a combination JA and UA (JU). Concha margaritifera (CM) was taken as ineffective compound. Cerebral infarct volume of the mice was determined, and the hippocampi were taken for microarray analysis. Particular signaling pathways and biological functions were enriched based on differentially expressed genes, and corresponding networks were constructed through Ingenuity Pathway Analysis. RESULTS: In phenotype analysis, UA, JA, and JU significantly reduced the ischemic infarct volume with JU being superior to UA or JA alone, while CM was ineffective. As a result, 4 pathways enriched in CM were excluded. Core pathways in the phenotype-positive groups (UA or JA) were involved in neuronal homeostasis and neuropathology. JU-contributing pathways included all UA-contributing and the majority (71.7%) of JA-contributing pathways, and 10 new core pathways whose effects included inflammatory immunity, apoptosis and nervous system development. The functions of JU group included all functions of JA group, the majority (93.1%) of UA-contributing functions, and 3 new core functions, which focused on physiological system development and function. CONCLUSION: The pure synergism between UA and JA underlies 10 new core pathways and 3 new core functions, which are involved in inflammation, immune responses, apoptosis and nervous system development.

DanHong injection dose-dependently varies amino acid metabolites and metabolic pathways in the treatment of rats with cerebral ischemia.

AIM: To determine how the relative amino acid contents and metabolic pathways regulate the pharmacological phenotypes in rats with cerebral ischemia after treatment with varying doses of DanHong injection (DHI). METHODS: Adult male rats underwent middle cerebral artery occlusion (MCAO), and were injected with DHI (DH-1: 1 mL/kg; DH-2: 2.5 mL/kg; DH-3: 5 mL/kg, and DH-4: 10 mL/kg, iv) daily for 3 d. The neurological deficit score, body weights and infarct volume were assessed. Serum levels of 20 free amino acids were determined using HPLC, and the values were transformed through the quantitative analysis of the amino acids in the serum metabolic spectrum. Multivariate statistical analysis methods (PCA and PLS-DA) and web-based metabolomics tools (MetPa and MetaboAnalyst) were used to analyze the biological data sets for the amino acids. RESULTS: Administration of DHI dose-dependently decreased cerebral infarct volume, and ameliorated neurological deficits. A total of 5, 6, 7 and 7 non-overlapping metabolites were identified in the DH-1, DH-2, DH-3, and DH-4 groups, respectively. Eight metabolites were shared between the DHI groups and the vehicle group. In addition, the serum levels of glutamic acid, aspartic acid and serine increased with increasing DHI dose. A total of 3, 2, 2 and 5 non-overlapping metabolic pathways were identified in the DH-1, DH-2, DH-3 and DH-4 groups, respectively, and glycine, serine, threonine and histidine metabolism were identified as overlapping pathways among the 4 dose groups. CONCLUSION: Overlapping and non-overlapping amino acid metabolites and metabolic pathways are associated with the dose-dependent neuroprotective effect of DHI.

Role of C9orf140 in the promotion of colorectal cancer progression and mechanisms of its upregulation via activation of STAT5, ß-catenin and EZH2.

C9orf140 is a newly identified and characterized gene which is associated with cell proliferation and tumorigenicity. Expression of C9orf140 is upregulated in human gastric cancer and colorectal cancer (CRC); however, little is known about its role in CRC progression. We have investigated the clinical significance, biological effects and mechanisms of C9orf140 signaling. We found that the expression of C9orf140 is dramatically increased in a subset of CRC and correlates significantly with vascular invasion and lymph node metastasis. Our finding showed that knockdown of C9orf140 significantly reduced cell proliferation and invasion in vitro and dramatically increased overall survival and decreased lung metastasis in vivo. Conversely, overexpression of C9orf140 significantly increased lung metastasis and shortened overall survival when compared with control tumors. C9orf140-induced CRC cell invasion may depend on promoting the epithelial-mesenchymal transition progression. STAT5 may directly interact with the enhancer of zeste homolog 2 (EZH2) and ß-catenin to enhance C9orf140 gene transactivation. Furthermore, C9orf140 may participate in cell invasion which is induced by STAT5, EZH2 or ß-catenin activation. We describe the role of C9orf140 in CRC progression and find that C9orf140 overexpression may be regulated by STAT5, EZH2 and ß-catenin interaction.