Development of a monoclonal antibody specifically recognizing a linear epitope on the capsid protein of the emerging Group III Getah virus.

Getah virus (GETV) is an emerging mosquito-borne alphavirus that can infect horses, pigs and other animals. Given the public health threat posed by GETV, research on its pathogenesis, diagnosis and prevention is urgently needed. In the current study, prokaryotic expression systems were used to express the capsid protein of GETV. This protein was then used to immunize BALB/c mice in order to generate monoclonal antibodies (mAbs). Subsequently, hybridoma cells secreting a mAb (2B11-4) against the capsid protein were obtained using the hybridoma technique. A B cell linear epitope, 18-PAYRPWR-24, located at the capsid protein's N-terminal region was identified using western blotting analysis with the produced mAb, 2B11-4. Sequence alignment indicated that this epitope was highly conserved in group III (GIII) strains of GETV, but varied among the other genotypes. Western blotting showed that mAb 2B11-4 could discriminate Group III GETVs from other genotypes. This study describes the preparation of a mAb against the GETV capsid protein and the identification of the specific localization of B-cell epitopes, and will contribute towards a better understanding of the biological importance of the GETV capsid protein. It will also pave the way for developing immunological detection methods and genotype diagnosis for GETVs.

Development of a recombinant reporter Getah virus for antiviral drug screening assays.

Getah virus (GETV), is an often neglected and re-emerging mosquito-borne RNA virus. GETV can cause illness accompanied with high fever, rash, incapacitating arthralgia and chronic arthritis or encephalitic disease in affected animals. Currently, there is no specific treatment or vaccine against GETV infection. In this study, we developed three recombinant viruses by inserting different reporter protein genes between the Cap and pE2 genes. The reporter viruses exhibited high replication capacity similar to the parental virus. The rGECiLOV and rGECGFP viruses were genetically stable within at least ten rounds of passages in BHK-21 cells. We confirmed that the reporter virus, rGECGFP, facilitated the antiviral assays against GETV by testing it with the known inhibitor, ribavirin. It was also found that the compound, doxycycline, showed an inhibitory effect on GETV replication. In addition, rGECGFP was found to be an authentic mimic of the parental virus infection in 3-day-old mice, but with milder pathogenicity. The reporter viruses will contribute to the assessment of viral replication and proliferation, tracking and elucidating of alphavirus-host interactions. In addition, they will help in the screening of potential antiviral compounds.

First Report of Corynespora cassiicola Causing Leaf Spot on Jasminum nudiflorum in China.

Winter jasmine (Jasminum nudiflorum Lindl.), a trailing, deciduous shrub, is widely used as an ornamental plant. Its flowers and leaves also has great medicinal value for treatment of inflammatory swelling, purulent eruptions, bruises and traumatic bleeding (Takenaka et al. 2002). In October 2022, leaf spot symptoms were observed on J. nudiflorum distributed in Meiling Scenic Spot (28.78°N, 115.83°E) and Jiangxi Agricultural University (28.75°N, 115.83°E), Nanchang, Jiangxi Province, China. In a week-long series of investigations, the incidences of disease could range up to 25%. Initially, the symptoms of the lesions were small yellow circular spots (0.5 to 1.8 mm), and gradually developing irregular spots (2.8 to 4.0 mm) with grayish white central parts, a dark brown inner ring, and outer yellow halo. To identify the pathogen, sixty symptomatic leaves from fifteen different plants were collected, of which twelve were randomly selected, cut into 4-mm2 pieces, and surface sterilized with 75% ethanol for 30s followed by 5% NaClO for 1 min, rinsed four times with sterile water, and then placed on potato dextrose agar (PDA) medium at 25 °C in the dark for 5 to 7 days. Six isolates with similar morphological characteristics were obtained. Aerial mycelium was vigorous, downy and exhibited white to grayish-green coloration. Conidia were solitary or catenate, pale brown, obclavate to cylindrical, apex obtuse, one to 11 pseudosepta, 24.9 to 125.7 × 7.9 to 12.9 µm (n = 50). Morphological characteristics matched Corynespora cassiicola (Ellis 1971). For molecular identification, two representative isolates (HJAUP C001 and HJAUP C002) were selected for genomic DNA extraction, and the ITS, TUB2 and TEF1-α gene were amplified, using the primer ITS4/ITS5 (White et al. 1990), Bt2a/Bt2b (Lousie and Donaldson 1995) and EF1-728F/EF-986R (Carbone and Kohn 1999), respectively. The sequenced loci (GenBank accession nos. ITS: OP957070, OP957065; TUB2: OP981639, OP981640; TEF1-α: OP981637, OP981638) of the isolates were 100, 99 and 98% similar to the corresponding sequences of C. cassiicola strains (GenBank accession nos. OP593304, MW961419, MW961421, respectively). Phylogenetic analyses of combined ITS and TEF1-α sequences was performed using maximum-likelihood method in MEGA 7.0 (Kuma et al. 2016). The result showed that our isolates (HJAUP C001 and HJAUP C002) clustered with four strains of C. cassiicola at 99% bootstrap values in the bootstrap test (1000 replicates). Based on the morpho-molecular approach, the isolates were identified as C. cassiicola. The pathogenicity of one representative strain (HJAUP C001) was tested by inoculating the wounded leaves of six healthy J. nudiflorum plants under natural condition. Three leaves from each of three plants were punctured with flamed needles and sprayed with a conidial suspension (1 × 106 conidia/ml), and three wounded leaves from each of other three plants were inoculated with mycelial plugs (5 × 5 mm3). Mock inoculations were used as controls with sterile water and PDA plugs on three leaves each, respectively. Leaves from all treatments were incubated in a greenhouse at high relative humidity, 25°C, and 12-hour photoperiod. After one week, all wounded inoculated leaves appeared similar symptoms as described above, whereas the mock inoculated leaves were still healthy. Similar isolates with grayish white and vigorous aerial mycelium were reisolated from inoculated and symptomatic leaves and identified as C. cassiicola by DNA sequencing, fulfilling Koch's postulates. It has been reported that C. cassiicola can cause leaf spots on numerous plant species (Tsai et al. 2015; Lu et al. 2019; Farr and Crossman 2023). However, to our knowledge, this is the first report of C. cassiicola causing leaf spots on J. nudiflorum in China. This finding aids in protection of J. nudiflorum, a medicinal and ornamental plant with high economic value.

miR-150-5p in neutrophil-derived extracellular vesicles associated with sepsis-induced cardiomyopathy in septic patients.

INTRODUCTION: Early diagnosis and potential therapeutic targets of sepsis-induced cardiomyopathy (SIC) remain challenges clinically. Circulating extracellular vesicles from immune cells carrying crucial injurious mediators, including miRNAs in sepsis. However, the impacts of neutrophil-derived extracellular vesicles and their miRNAs in the SIC development are unknown. OBJECTIVES: The present study focused on the in-depth miRNA expression profiles of neutrophil-derived extracellular vesicles and explored the potential molecular biomarkers during the process of SIC. METHODS: Neutrophil-derived extracellular vesicles were isolated from the blood samples in three sepsis patients with or without cardiomyopathy on day 1 and day 3 after ICU admission in comparison with three healthy controls. miRNAs were determined by RNA sequencing. The closely related differentially expressed miRNAs with SIC were further validated through qRT-PCR in the other cohorts of sepsis patients with (30 patients) or without cardiomyopathy (20 patients) and the association between miRNAs and the occurrence or disease severity of septic cardiomyopathy were stratified with logistic regression analysis. RESULTS: Sixty-eight miRNAs from neutrophil-derived extracellular vesicles were changed significantly between healthy controls and without septic cardiomyopathy patients (61 miRNAs upregulated and seven downregulated). Thirty-eight miRNAs were differentially expressed in the septic cardiomyopathy patients. 27 common differentially expressed miRNAs were found in both groups with similar kinetics (23 miRNAs upregulated and four downregulated). The enriched cellular signaling pathway mediated by miRNAs from sepsis to septic cardiomyopathy was the HIF-1 signaling system modulated septic inflammation. Using multivariate logistic regression analysis, miR-150-5p coupled with NT-pro BNP, LVEF, and SOFA score (AUC = 0.941) were found to be the independent predictors of septic cardiomyopathy. CONCLUSION: miRNAs derived from neutrophil-derived extracellular vesicles play an important role in septic disease severity development towards cardiomyopathy. miR-150-5p may be a predictor of sepsis severity development but warrants further study.

Comprehensive analysis of alternative splicing signatures in pancreatic head cancer.

The correlation between dysregulation of splicing and cancers has been increasingly recognised and confirmed. The identification of valuable alternative splicing (AS) in pancreatic head cancer (PHC) has a great significance. AS profiles in PHC were generated using the data from The Cancer Genome Atlas and TCGASpliceSeq. Then, the NMF clustering method was performed to identify overall survival-associated AS (OS-AS) subtypes in PHC patients. Subsequently, we used least absolute shrinkage and selection operator Cox regression analysis to construct an AS-related risk model. The splicing regulatory network was uncovered by Cytoscape 3.7. A total of 1694 OS-AS events were obtained. The PHC patients were divided into clusters 1 and 2. Cluster 1 had poorer prognosis and lower infiltration of immune cells. Subsequently, a prognostic signature was established that showed good performance in predicting OS and progression-free survival. The risk score of this signature was associated with the unique tumour immunity. Moreover, a nomogram incorporating the risk score and clinicopathological parameters was established. Finally, a splicing factor-AS regulatory network was developed. A comprehensive analysis of the AS events in PHC associated with prognosis and tumour immunity may help provide reliable information to guide individual treatment strategies.

Thiostrepton confers protection against reactive oxygen species-related apoptosis by restraining FOXM1-triggerred development of gastric cancer.

Gastric cancer is a leading cause of tumor-associated death worldwide. Metastasis and chemoresistance are crucial barriers for gastric cancer treatment. The Forkhead Box M1 (FOXM1) transcription factor has been reported as a promising treatment target for various types of tumors, but its effects on gastric cancer progression are not fully understood. In the present study, we found that FOXM1 expression levels were significantly up-regulated in human gastric cancer cell lines and tissues, and its expression was much higher in patients with metastasis. We then found that suppressing FOXM1 with its inhibitor thiostrepton (THIO) significantly reduced the proliferation of gastric cancer cells, while induced G0/G1 and apoptosis. Moreover, reactive oxygen species (ROS) production, mitochondrial impair and autophagy were remarkably provoked in gastric cancer cells treated with THIO, which were required for the regulation of apoptotic cell death. Furthermore, THIO exposure considerably suppressed the migration, invasion and angiogenesis in gastric cancer cells. The inhibitory effects of THIO on tumor growth and metastasis were confirmed in an established gastric cancer xenograft mouse model without detectable toxicity. Intriguingly, our in vitro studies showed that the anti-cancer effects of THIO on gastric cancer were almost abolished upon FOXM1 over-expression, indicating the necessity of FOXM1 suppression in THIO-inhibited tumor growth. In addition, higher FOXM1 expression was detected in gastric cancer cells with chemoresistance. Both in vitro and in vivo studies illustrated that THIO strongly promoted the drug-resistant gastric cancer cells to chemotherapies, proved by the considerably decreased cell proliferation and epithelial-mesenchymal transition (EMT) process. Together, these findings revealed that FOXM1 was a promising therapeutic target for gastric cancer treatment, and THIO exerted potential as an therapeutic agent for the disease.

In silico development and validation of a novel glucose and lipid metabolism-related gene signature in gastric cancer.

Background: Abnormal glucose and lipid metabolism plays a critical role in gastric carcinogenesis and development. Hence, we presented a systematic analysis of glucose and lipid metabolism-related genes to explore their function and prognostic value in gastric cancer (GC). Methods: The consensus clustering algorithm was used to identify the molecular subtypes based on glucose and lipid metabolism-related genes. Subsequently, cox regression analysis and lasso regression analysis were utilized to establish a risk prediction model. A clinical nomogram was constructed to assist prognosis assessment. In addition, ESTIMATE and single-sample gene set enrichment analysis (ssGSEA) algorithms were performed to evaluate the immune infiltration of the metabolic model, and GSEA was used for enrichment analysis of the metabolic signature. Finally, we explored the association between the risk model and anti-cancer therapy for the purpose of clinical application for GC treatment. Results: GC samples were divided into 2 subtypes based on glucose and lipid metabolism-related genes, patients in cluster 2 had a better overall survival (OS) than those in cluster 1. Fifty-two genes were identified by univariable regression analysis. Finally, a 13-gene metabolic signature (CACNA1H, CHST1, IGFBP3, NASP, STC1, VCAN, NUP205, NUP43, PGM2L1, CAV1, ELOVL4, PRKAA2, TNFAIP8L3) was successfully constructed that demonstrated good performance in different datasets, as well as an independent hazardous factor for prognosis. In addition, the nomogram constructed with the clinical variables showed higher predictive efficacy for predicting the 1-, 3-, and 5-year OS. The 13-gene metabolic signature was significantly associated with immune scores and immune cell infiltration in high-risk group. Moreover, GSEA analysis revealed that cancer- and immune-related pathways were enriched in the high-risk group. Finally, our results indicated that there might exist an immunosuppressive status in the high-risk groups. Conclusions: This study demonstrated that glucose and lipid metabolism-related genes were significantly associated with prognosis. Meanwhile, it will provide novel insights into exploring the immunoregulation roles of these genes.

Comprehensive analysis to identify DNA damage response-related lncRNA pairs as a prognostic and therapeutic biomarker in gastric cancer.

OBJECTIVE: Gastric cancer (GC) is the fifth most common malignancy and the fourth leading cause of cancer-related mortality worldwide. The identification of valuable predictive signatures to improve the prognosis of patients with GC is becoming a realistic prospect. DNA damage response-related long noncoding ribonucleic acids (drlncRNAs) play an important role in the development of cancers. However, their prognostic and therapeutic values remain sparse in gastric cancer (GC). METHODS: We obtained the transcriptome data and clinical information from The Cancer Genome Atlas Stomach Adenocarcinoma (TCGA-STAD) cohort. Co-expression network analyses were performed to discover functional modules using the igaph package. Subsequently, lncRNA pairs were identified by bioinformation analysis, and prognostic pairs were determined by univariate analysis, respectively. In addition, we utilized least absolute shrinkage and selection operator (LASSO) cox regression analysis to construct the risk model based on lncRNA pairs. Then, we distinguished between the high- or low- risk groups from patients with GC based on the optimal model. Finally, we reevaluated the association between risk score and overall survival, tumor immune microenvironment, specific tumor-infiltrating immune cells related biomarkers, and the sensitivity of chemotherapeutic agents. RESULTS: 32 drlncRNA pairs were obtained, and a 17-drlncRNA pairs signature was constructed to predict the overall survival of patients with GC. The ROC was 0.797, 0.812 and 0.821 at 1, 2, 3 years, respectively. After reclassifying these patients into different risk-groups, we could differentiate between them based on negative overall survival outcome, specialized tumor immune infiltration status, higher expressed immune cell related biomarkers, and a lower chemotherapeutics sensitivity. Compared with previous models, our model showed better performance with a higher ROC value. CONCLUSION: The prognostic and therapeutic signature established by novel lncRNA pairs could provide promising prediction value, and guide individual treatment strategies in the future.

Prevalence and the factors associated with malnutrition risk in elderly Chinese inpatients.

BACKGROUND: Malnutrition is an under recognized, but common issue in elderly patients. This study aimed to investigate the prevalence of poor nutritional status and identify comprehensive geriatric assessment-based clinical factors associated with increased malnutrition risk to assessing malnutrition risk in hospitalized elderly patients in China. METHODS: A total of 365 elderly hospitalized patients (178 women, 76.37 ± 7.74 years) undertook a comprehensive geriatric assessment (CGA), and have their nutritional status assessed using the short-form mini-nutritional assessment. RESULTS: Among 365 patients, 32 (8.77%) were malnourished and 112 (30.68%) were at risk of malnutrition. A logistic regression analysis showed that age (odds ratio [OR], 1.59; 95% confidence interval [CI], 1.13-2.23), alcohol consumption (OR, 2.04; 95% CI, 1.19-3.48), presence or history of cancer or heart failure (OR, 3.48 and 2.86; 95% CI, 1.49-8.13 and 1.12-7.27), depression (OR, 2.86; 95% CI, 1.97-4.17), body mass index (OR, 5.62; 95% CI, 3.62-8.71), being dependent in activity of daily living (OR, 3.81; 95% CI, 2.61-5.57), a lower score in instrumental activities of daily living (OR, 3.01; 95% CI, 2.09-4.33), recent fall(s) (OR, 2.22; 95% CI, 1.37-2.91), cognitive impairment (OR, 1.81; 95% CI, 1.30-2.53), insomnia (OR, 1.49; 95% CI, 1.07-2.06), hemoglobin and albumin level (OR, 1.72 and 2.86; 95% CI, 1.17-2.50 and 1.53-5.36) were independent correlates of malnutrition in older patients. CONCLUSION: Our study demonstrated that age, alcohol consumption, chronic diseases (cancer and heart failure), depression, body mass index, function status, recent fall(s), cognitive impairment, insomnia, and low hemoglobin and albumin levels were independently associated with malnutrition in these patients. Comprehensive geriatric assessment can provide detailed information of older patients and can be a useful tool for assessing malnutrition risk-associated factors.

Angiogenesis-Related Immune Signatures Correlate With Prognosis, Tumor Microenvironment, and Therapeutic Sensitivity in Hepatocellular Carcinoma.

Background: Hepatocellular carcinoma (HCC) is one of the highly heterogeneous cancers that lacks an effective risk model for prognosis prediction. Therefore, we searched for angiogenesis-related immune genes that affected the prognosis of HCC to construct a risk model and studied the role of this model in HCC. Methods: In this study, we collected the transcriptome data of HCC from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) database. Pearson correlation analysis was performed to identify the association between immune genes and angiogenesis-related genes. Consensus clustering was applied to divide patients into clusters A and B. Subsequently, we studied the differentially expressed angiogenesis-related immune genes (DEari-genes) that affected the prognosis of HCC. The most significant features were identified by least absolute shrinkage and selection operator (LASSO) regression, and a risk model was constructed. The reliability of the risk model was evaluated in the TCGA discovery cohort and the ICGC validation cohort. In addition, we compared the novel risk model to the previous models based on ROC analysis. ssGSEA analysis was used for function evaluation, and pRRophetic was utilized to predict the sensitivity of administering chemotherapeutic agents. Results: Cluster A patients had favorable survival rates. A total of 23 DEari-genes were correlated with the prognosis of HCC. A five-gene (including BIRC5, KITLG, PGF, SPP1, and SHC1) signature-based risk model was constructed. After regrouping the HCC patients by the median score, we could effectively discriminate between them based on the adverse survival outcome, the unique tumor immune microenvironment, and low chemosensitivity. Conclusion: The five-gene signature-based risk score established by ari-genes showed a promising clinical prediction value.

Identification of the RP11-21C4.1/SVEP1 gene pair associated with FAT2 mutations as a potential biomarker in gastric cancer.

Gastric cancer (GC) is one of the most common malignancies worldwide. Despite rapid advances in systemic therapy, GC remains the third leading cause of cancer-related deaths. We aimed to identify a novel prognostic signature associated with FAT2 mutations in GC. We analyzed the expression levels of FAT2-mutant and FAT2-wildtype GC samples obtained from The Cancer Genome Atlas (TCGA). The Kaplan-Meier survival curve showed that patients with FAT2 mutations showed better prognosis than those without the mutation. Sixteen long non-coding RNAs (lncRNAs) and 62 messenger RNAs (mRNAs) associated with FAT2 mutations were correlated with the prognosis of GC. We then constructed a 4-mRNA signature and a 5-lncRNA signature for GC. Finally, we identified the most relevant RP11-21 C4.1/SVEP1 gene pair as a prognostic signature of GC that exhibited superior predictive performance in comparison with the 4-mRNA or 5-lncRNA signature by weighted gene correlation network analysis (WGCNA) and Cox proportional hazards regression analysis. In this study, we constructed a prognostic signature of GC by integrative genomics analysis, which also provided insights into the molecular mechanisms linked to FAT2 mutations in GC.

Identification of comprehensive geriatric assessment-based risk factors for insomnia in elderly Chinese hospitalized patients.

OBJECTIVE: Insomnia is a common problem in older persons and is associated with poor prognosis from a functional or clinical perspective. The purpose of this study was to investigate the prevalence of insomnia and identify comprehensive geriatric assessment (CGA) based clinical factors associated with insomnia in elderly hospitalized patients. METHODS: Standardized face-to-face interviews were conducted and CGA data were collected from 356 Chinese hospitalized patients aged 60 years or older. Insomnia was defined as self-reported sleep poor quality according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-Ⅴ). Multivariate logistic regression analysis was applied to assess the association between patient clinical factors together with domains within the CGA and insomnia. RESULTS: Among the 365 patients, insomnia was found in 48.31% of the participants. Difficulty in initiating sleep (DIS), early morning awakening (EMA), difficulty in maintaining sleep (DMS), and snoring were found in 33.99%, 9.55%, 13.48%, and 1.69% of patients, respectively. Significant associations were found between insomnia and several covariates: female gender (P = 0.034), depression (P = 0.001), activities of daily living (ADL) (P = 0.034), instrumental activities of daily living (IADL; P = 0.009), falling (P = 0.003), chronic pain (P = 0.001), and poor nutritional status (P = 0.038). According to the results of the adjustment multivariate logistic regression analysis, female sex (odds ratio [OR] = 2.057, confidence interval [CI] = 1.179-3.588, P = 0.011), depression (OR = 1.889, CI = 1.080-3.304, P = 0.026), and chronic pain (OR = 1.779, CI = 1.103-2.868, P = 0.018) were significant independently predictors associated with insomnia. CONCLUSIONS: Our study revealed that female sex, depression, and chronic pain were independently predictors of insomnia in hospitalized patients. Early identification of elderly patients with these risk factors using the CGA may improve the quality of life and treatment outcomes.

Effect of Argatroban Combined With Dual Antiplatelet Therapy on Early Neurological Deterioration in Acute Minor Posterior Circulation Ischemic Stroke.

There is a lack of studies on anticoagulant plus antiplatelet therapy for acute ischemic stroke. The present study made a pilot effort to investigate the efficacy and safety of argatroban plus dual antiplatelet therapy (DAPT) in patients with acute posterior circulation ischemic stroke (PCIS). We retrospectively collected patients diagnosed with acute PCIS according to inclusion/exclusion criteria. According to treatment drugs, patients were divided into an argatroban plus DAPT group and a DAPT group. The primary efficacy end point was the proportion of early neurological deterioration (END). The primary safety outcome was symptomatic intracranial hemorrhage. All outcomes were compared between the 2 groups before and after propensity score matching (PSM). A total of 502 patients were enrolled in the study, including 35 patients with argatroban plus DAPT and 467 patients with DAPT. There was a higher National Institutes of Health Stroke Scale (NIHSS) score in the argatroban plus DAPT group than the DAPT group before PSM (3 vs 2, P = .017). Compared with the DAPT group, the argatroban plus DAPT group had no END (before PSM: 0% vs 6.2%, P = .250; after PSM: 0% vs 5.9%, P = .298). Argatroban plus DAPT yielded a significant decrease in the NIHSS score from baseline to 7 days after hospitalization, compared with that of the DAPT group before PSM (P = .032), but not after PSM (P = .369). No symptomatic intracranial hemorrhage was found in any patient. A short-term combination of argatroban with DAPT appears safe in acute minor PCIS.

An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric Cancer.

Background and Aim: Gastric cancer (GC) is the common leading cause of cancer-related death worldwide. Immune-related genes (IRGs) may potentially predict lymph node metastasis (LNM). We aimed to develop a preoperative model to predict LNM based on these IRGs. Methods: In this paper, we compared and evaluated three machine learning models to predict LNM based on publicly available gene expression data from TCGA-STAD. The Pearson correlation coefficient (PCC) method was utilized to feature selection according to its relationships with LN status. The performance of the model was assessed using the area under the curve (AUC) and F1 score. Results: The Naive Bayesian model showed better performance and was constructed based on 26 selected gene features, with AUCs of 0.741 in the training set and 0.688 in the test set. The F1 score in the training set and test set was 0.652 and 0.597, respectively. Furthermore, Naive Bayesian model based on 26 IRGs is the first diagnostic tool for the identification of LNM in advanced GC. Conclusion: These results indicate that our new methods have the value of auxiliary diagnosis with promising clinical potential.

Anxiolytic and anti-depressant effects of hydroalcoholic extract from Erythrina variegata and its possible mechanism of action.

BACKGROUND: Erythrina variegata has been widely used as a traditional medicine. OBJECTIVE: The study was designed to evaluate the anxiolytic and anti-depressant effects of an extract from Erythrina variegata. METHODS: The extract was evaluated for anxiolytic and anti-depressant action using the elevated plus maze, light/dark box, open field, forced swimming and tail suspension tests in mice. The mechanism of action was further elucidated using high-performance liquid chromatography with fluorescence detection methods to assay the levels of five neurotransmitters in brain. RESULTS: The extract exhibited significant increase in the percentage of the open arms entries and the time spent in the open arms in the elevated plus maze test. The results of the light/dark box test revealed a significant increase in the amount of time spent in the light chamber. Extract- treated mice also produced significant increase in the number of crossings and rearings in the open field test. In the forced swimming and tail suspension tests, the extract was able to promote significant decrease in the immobility time. In addition, the extract significantly altered the levels of five neurotransmitters in the brain tissue. CONCLUSION: These findings suggest that Erythrina variegata presents potential anxiolytic and anti-depressant activity, and the mechanism may be related to the alteration of neurotransmitter levels.

Shell thickness controlled core-shell Fe3O4@CoO nanocrystals as efficient bifunctional catalysts for the oxygen reduction and evolution reactions.

Core-shell Fe3O4@CoO NCs have been demonstrated to be efficient bifunctional catalysts for the oxygen reduction (ORR) and evolution (OER) reactions. Their activities are strongly shell thickness dependent. Specifically, nanocrystals with ∼2 monolayers of CoO can exhibit a potential difference of 0.794 V at OER and ORR current densities of 10 and -3 mA cm-2, respectively. This value is competitive to those of most active bifunctional catalysts reported. In addition, they are also used as the oxygen cathode for Zn-air batteries and can deliver a peak power density of 109 mW cm-2, much higher than that of the Pt-RuO2/C (88.1 mW cm-2).

Core@shell structured Co-CoO@NC nanoparticles supported on nitrogen doped carbon with high catalytic activity for oxygen reduction reaction.

A composite with a hierarchical structure consisting of nitrogen doped carbon nanosheets with the deposition of nitrogen doped carbon coated Co-CoO nanoparticles (Co-CoO@NC/NC) has been synthesized by a simple procedure involving the drying of the reaction mixture containing Co(NO3)2, glucose, and urea and its subsequent calcination. The drying step is found to be necessary to obtain a sample with small and uniformly sized Co-CoO nanoparticles. The calcination temperature has a great effect on the catalytic activity of the final product. Specifically, the sample prepared at the calcination temperature of 800 °C shows better catalytic activity of the oxygen reduction reaction (ORR). Urea in the reaction mixture is crucial to obtain the sample with the uniformly sized Co-CoO nanoparticles and also plays an important role in improving the catalytic activity of the Co-CoO@NC/NC. Additionally, there exists a strong electronic interaction between the Co-CoO nanoparticles and the NC. Most interestingly, the Co-CoO@NC/NC is highly efficient for the ORR and can deliver an ORR onset potential of 0.961 V vs. RHE and a half-wave potential of 0.868 V vs. RHE. Both the onset and half-wave potentials are higher than those of most catalysts reported previously and even close to those of the commercial Pt/C (the ORR onset and half-wave potential of the Pt/C are 0.962 and 0.861 V vs. RHE, respectively). This, together with its high stability, strongly suggests that the Co-CoO@NC/NC could be used as an efficient catalyst for the ORR.

Effect of Angiotensin-Converting Enzyme Inhibitors on Physical Function in Elderly Subjects: A Systematic Review and Meta-Analysis.

BACKGROUND: Sarcopenia has been accepted as a new geriatric syndrome, which will become a common and important public health challenge. And angiotensin-converting enzyme inhibitors (ACEIs) have been shown to improve exercise capacity in elderly without heart failure. OBJECTIVES: To evaluate the effect of angiotensin-converting enzyme inhibitors (ACEIs) on physical function in elderly. DATA SOURCES: The Cochrane Library, PubMed, EMBASE and Web of Science were searched. ELIGIBILITY CRITERIA: All researches included were randomized controlled trials (RCTs) which compared any kind of ACEIs with placebo or other anti-hypertensives in elderly, and provided empirical data of grip strength and 6-min walk distance change from baseline. STUDY APPRAISAL AND SYNTHESIS METHODS: Risk of bias was systematically assessed by using the Cochrane risk of bias tool. Data of grip strength and 6-min walk distance change from baseline were collected and mean differences (MDs) were calculated along with 95% CI (confidence interval) by using a random effects model. RESULTS: In 3 RCTs including 337 elderly participants, ACEIs (n = 178) did not significantly improved 6-min walk distance (13.45, 95% CI: -16.71 to 43.61; P = 0.38) versus placebo or other antihypertensives (n = 159). In 3 RCTs including 499 elderly participants, grip strength was not significantly different (-0.67, 95% CI: -1.53 to 0.19; P = 0.12) between ACEIs (n = 260) and placebo or other antihypertensives (n = 239). LIMITATIONS: There exists only 4 RCTs and the number of participants is limited. Pooling of data were from different trials including different participant characteristics. And intervention is not strictly consistent. CONCLUSION: This study shows that ACEIs can not significantly improve walk distance or the age-related decline of muscle strength for older participants in clinical trials.