Early identification of stroke through deep learning with multi-modal human speech and movement data.

JOURNAL/nrgr/04.03/01300535-202501000-00031/figure1/v/2024-05-14T021156Z/r/image-tiff Early identification and treatment of stroke can greatly improve patient outcomes and quality of life. Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale (CPSS) and the Face Arm Speech Test (FAST) are commonly used for stroke screening, accurate administration is dependent on specialized training. In this study, we proposed a novel multimodal deep learning approach, based on the FAST, for assessing suspected stroke patients exhibiting symptoms such as limb weakness, facial paresis, and speech disorders in acute settings. We collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements, facial expressions, and speech tests based on the FAST. We compared the constructed deep learning model, which was designed to process multi-modal datasets, with six prior models that achieved good action classification performance, including the I3D, SlowFast, X3D, TPN, TimeSformer, and MViT. We found that the findings of our deep learning model had a higher clinical value compared with the other approaches. Moreover, the multi-modal model outperformed its single-module variants, highlighting the benefit of utilizing multiple types of patient data, such as action videos and speech audio. These results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke, thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.

Time-Varying Channel Estimation Based on Distributed Compressed Sensing for OFDM Systems.

For orthogonal frequency division multiplexing (OFDM) systems in high-mobility scenarios, the estimation of time-varying multipath channels not only has a large error, which affects system performance, but also requires plenty of pilots, resulting in low spectral efficiency. To address these issues, we propose a time-varying multipath channel estimation method based on distributed compressed sensing and a multi-symbol complex exponential basis expansion model (MS-CE-BEM) by exploiting the temporal correlation and the joint delay sparsity of wideband wireless channels within the duration of multiple OFDM symbols. Furthermore, in the proposed method, a sparse pilot pattern with the self-cancellation of pilot intercarrier interference (ICI) is adopted to reduce the input parameter error of the MS-CE-BEM, and a symmetrical extension technique is introduced to reduce the modeling error. Simulation results show that, compared with existing methods, this proposed method has superior performances in channel estimation and spectrum utilization for sparse time-varying channels.

Discovery of 7-alkoxybenzofurans as PDE4 inhibitors with hepatoprotective activity in D-GalN/LPS-induced hepatic sepsis.

Sepsis can quickly result in fatality for critically ill individuals, while liver damage can expedite the progression of sepsis, necessitating the exploration of new strategies for treating hepatic sepsis. PDE4 has been identified as a potential target for the treatment of liver damage. The scaffold hopping of lead compounds FCPR16 and Z19153 led to the discovery of a novel 7-methoxybenzofuran PDE4 inhibitor 4e, demonstrating better PDE4B (IC50 = 10.0 nM) and PDE4D (IC50 = 15.2 nM) inhibitor activity as a potential anti-hepatic sepsis drug in this study. Compared with FCPR16 and Z19153, 4e displayed improved oral bioavailability (F = 66 %) and longer half-life (t1/2 = 2.0 h) in SD rats, which means it can be more easily administered and has a longer-lasting effect. In the D-GalN/LPS-induced liver injury model, 4e exhibited excellent hepatoprotective activity against hepatic sepsis by decreasing ALT and AST levels and inflammatory infiltrating areas.

Peceleganan Spray for the Treatment of Skin Wound Infections: A Randomized Clinical Trial.

Importance: Peceleganan spray is a novel topical antimicrobial agent targeted for the treatment of skin wound infections. However, its efficacy and safety remain unclear. Objective: To assess the safety and efficacy of peceleganan spray for the treatment of wound infections. Design, Setting, and Participants: This multicenter, open-label, phase 3 randomized clinical trial recruited and followed up 570 adult patients diagnosed with secondary open wound infections from 37 hospitals in China from August 23, 2021, to July 16, 2022. Interventions: Patients were randomized to 2 groups with a 2:1 allocation. One group received treatment with 2% peceleganan spray (n = 381) and the other with 1% silver sulfadiazine (SSD) cream (n = 189). Main Outcomes and Measures: The primary efficacy outcome was the clinical efficacy rate (the number of patients fulfilling the criteria for efficacy of the number of patients receiving the treatment) on the first day following the end of treatment (day 8). The secondary outcomes included the clinical efficacy rate on day 5 and the bacterial clearance rate (cases achieving negative bacteria cultures after treatment of all cases with positive bacteria cultures before treatment) on days 5 and 8. The safety outcomes included patients' vital signs, physical examination results, electrocardiographic findings, blood test results, and adverse reactions. Results: Among the 570 patients randomized to 1 of the 2 groups, 375 (98.4%) in the 2% peceleganan treatment group and 183 (96.8%) in the 1% SSD control group completed the trial (n = 558). Of these, 361 (64.7%) were men, and the mean (SD) age was 48.6 (15.3) years. The demographic characteristics were similar between groups. On day 8, clinical efficacy was achieved by 339 patients (90.4%) in the treatment group and 144 (78.7%) in the control group (P < .001). On day 5, clinical efficacy was achieved by 222 patients (59.2%) in the treatment group and 90 (49.2%) in the control group (P = .03). On day 8, bacterial clearance was achieved by 80 of 334 patients (24.0%) in the treatment group and in 75 of 163 (46.0%) in the control group (P < .001). On day 5, bacterial clearance was achieved by 55 of 334 patients (16.5%) in the treatment group and 50 of 163 (30.7%) in the control group (P < .001). The adverse events related to the application of peceleganan spray and SSD cream were similar. Conclusions and Relevance: This randomized clinical trial found that peceleganan spray is a safe topical antimicrobial agent with a satisfactory clinical efficacy rate for the treatment of skin wound infections, while the effectiveness of bacterial clearance remains uncertain. Trial Registration: Chinese Clinical Trial Registry Identifier: ChiCTR2100047202.

Phelligridimer A enhances the expression of mitofusin 2 and protects against cerebral ischemia/reperfusion injury.

Mitochondrial dysfunction and endoplasmic reticulum (ER) stress play pivotal roles in the pathology of cerebral ischemia. In this study, we investigated whether phelligridimer A (PA), an active compound isolated from the medicinal and edible fungus Phellinus igniarius, ameliorates ischemic cerebral injury by restoring mitochondrial function and restricting ER stress. An in vitro cellular model of ischemic stroke-induced neuronal damage was established by exposing HT-22 neuronal cells to oxygen-glucose deprivation/reoxygenation (OGD/R). An in vivo animal model was established in rats subjected to middle cerebral artery occlusion/reperfusion (MCAO/R). The results showed that PA (1-10 µM) dose-dependently increased HT-22 cell viability, reduced OGD/R-induced lactate dehydrogenase release, and reversed OGD/R-induced apoptosis. PA reduced OGD/R-induced accumulation of reactive oxygen species, restored mitochondrial membrane potential, and increased ATP levels. Additionally, PA reduced the expression of the 78-kDa glucose-regulated protein (GRP78) and the phosphorylation of inositol-requiring enzyme-1α (p-IRE1α) and eukaryotic translation-initiation factor 2α (p-eIF2α). PA also inhibited the activation of the mitogen-activated protein kinase (MAPK) pathway in the OGD/R model. Moreover, treatment with PA restored the expression of mitofusin 2 (Mfn-2), a protein linking mitochondria and ER. The silencing of Mfn-2 abolished the protective effects of PA. The results from the animal study showed that PA (3-10 mg/kg) significantly reduced the volume of cerebral infarction and neurological deficits, which were accompanied by an increased level of Mfn-2, and decreased activation of the ER stress in the penumbra of the ipsilateral side after MCAO/R in rats. Taken together, these results indicate that PA counteracts cerebral ischemia-induced injury by restoring mitochondrial function and reducing ER stress. Therefore, PA might be a novel protective agent to prevent ischemia stroke-induced neuronal injury.

Knockdown of HE4 suppresses tumor growth and invasiveness in lung adenocarcinoma through regulation of EGFR signaling.

It has been shown that the high expression of human epididymis protein 4 (HE4) in most lung cancers is related to the poor prognosis of patients, but the mechanism of pathological transformation of HE4 in lung cancer is still unclear. The current study is expected to clarify the function and mechanism of HE4 in the occurrence and metastasis of lung adenocarcinoma (LUAD). Immunoblotting evaluated HE4 expression in lung cancer cell lines and biopsies, and through analysis of The Cancer Genome Atlas (TCGA) dataset. Frequent HE4 overexpression was demonstrated in LUAD, but not in lung squamous cell carcinoma (LUSC), indicating that HE4 can serve as a biomarker to distinguish between LUAD and LUSC. HE4 knockdown significantly inhibited cell growth, colony formation, wound healing, and invasion, and blocked the G1-phase of the cell cycle in LUAD cell lines through inactivation of the EGFR signaling downstream including PI3K/AKT/mTOR and RAF/MAPK pathways. The first-line EGFR inhibitor gefitinib and HE4 shRNA had no synergistic inhibitory effect on the growth of lung adenocarcinoma cells, while the third-line EGFR inhibitor osimertinib showed additive anti-proliferative effects. Moreover, we provided evidence that HE4 regulated EGFR expression by transcription regulation and protein interaction in LUAD. Our findings suggest that HE4 positively modulates the EGFR signaling pathway to promote growth and invasiveness in LUAD and highlight that targeting HE4 could be a novel strategy for LUAD treatment.

A new notable compression source of left renal vein entrapment: right renal artery.

PURPOSE: To estimate the incidences of left renal vein (LRV) entrapment by right renal artery (RRA), a phenomenon primarily reported as case reports. METHODS: The cross-sectional study consecutively screened renal vessel CT data of 38 (Renal) patients with nephropathy and 305 (Non-renal) patients with peripheral arterial diseases in a teaching hospital in northeast China between November 2018 and March 2023. The LRV compression by adjacent anatomical structures, including but not limited to RRA and multiple compression-related parameters, were investigated through multiplanar analysis of the CT data. RESULTS: The overall LRV entrapment rates by adjacent structures were 41.93% (12/31) and 24.00% (6/25), the rates of RRA-sourced LRV compression 22.58% (7/31) and 20.00% (5/25), and the rates of compression by superior mesenteric artery (SMA) 16.13% (5/31) and 4.00% (1/25) in the Renal and Non-renal groups, respectively, with no significance. The venous segments distal to the RRA-compressed site had a significantly larger transectional lumen area than those of the non-compressed veins in both groups (3.09 ± 1.29 vs. 1.82 ± 0.23, p < 0.001 and 4.30 ± 2.65 vs. 2.12 ± 0.55, p = 0.006; maximum-to-minimum area ratios in Renal and Non-renal groups, respectively). Nearly 80% of RRAs were found arising anteriorly rightwards instead of passing straight to the right. CONCLUSION: RRA-sourced LRV compression was not rare, and its incidence was higher than that of the compression by SMA in both patient cohorts. RRA could be a more common compression source than SMA concerning LRV entrapment. Further investigations involving different populations, including healthy individuals, are needed.

Plant roots but not hydrology control microbiome composition and methane flux in temperate fen mesocosms.

The rewetting of formerly drained peatlands can help to counteract climate change through the reduction of CO2 emissions. However, this can lead to resuming CH4 emissions due to changes in the microbiome, favoring CH4-producing archaea. How plants, hydrology and microbiomes interact as ultimate determinants of CH4 dynamics is still poorly understood. Using a mesocosm approach, we studied peat microbiomes, below-ground root biomass and CH4 fluxes with three different water level regimes (stable high, stable low and fluctuating) and four different plant communities (bare peat, Carex rostrata, Juncus inflexus and their mixture) over the course of one growing season. A significant difference in microbiome composition was found between mesocosms with and without plants, while the difference between plant species identity or water regimes was rather weak. A significant difference was also found between the upper and lower peat, with the difference increasing as plants grew. By the end of the growing season, the methanogen relative abundance was higher in the sub-soil layer, as well as in the bare peat and C. rostrata pots, as compared to J. inflexus or mixture pots. This was inversely linked to the larger root area of J. inflexus. The root area also negatively correlated with CH4 fluxes which positively correlated with the relative abundance of methanogens. Despite the absence or low abundance of methanotrophs in many samples, the integration of methanotroph abundance improved the quality of the correlation with CH4 fluxes, and methanogens and methanotrophs together determined CH4 fluxes in a structural equation model. However, water regime showed no significant impact on plant roots and methanogens, and consequently, on CH4 fluxes. This study showed that plant roots determined the microbiome composition and, in particular, the relative abundance of methanogens and methanotrophs, which, in interaction, drove the CH4 fluxes.

CPADS: a web tool for comprehensive pancancer analysis of drug sensitivity.

Drug therapy is vital in cancer treatment. Accurate analysis of drug sensitivity for specific cancers can guide healthcare professionals in prescribing drugs, leading to improved patient survival and quality of life. However, there is a lack of web-based tools that offer comprehensive visualization and analysis of pancancer drug sensitivity. We gathered cancer drug sensitivity data from publicly available databases (GEO, TCGA and GDSC) and developed a web tool called Comprehensive Pancancer Analysis of Drug Sensitivity (CPADS) using Shiny. CPADS currently includes transcriptomic data from over 29 000 samples, encompassing 44 types of cancer, 288 drugs and more than 9000 gene perturbations. It allows easy execution of various analyses related to cancer drug sensitivity. With its large sample size and diverse drug range, CPADS offers a range of analysis methods, such as differential gene expression, gene correlation, pathway analysis, drug analysis and gene perturbation analysis. Additionally, it provides several visualization approaches. CPADS significantly aids physicians and researchers in exploring primary and secondary drug resistance at both gene and pathway levels. The integration of drug resistance and gene perturbation data also presents novel perspectives for identifying pivotal genes influencing drug resistance. Access CPADS at https://smuonco.shinyapps.io/CPADS/ or https://robinl-lab.com/CPADS.

The Relationship of Parent-Child Technoference and Child Problematic Smartphone Use: The Roles of Parent-Child Relationship, Negative Parenting Styles, and Children's Gender.

Purpose: With the increasing ubiquity of smartphones in our daily lives, technoference has emerged as a novel threat to family relationships and child development. This study explored the impact of parent-child technoference on child problematic smartphone use and its underlying mechanism and potential gender difference among children. Participants and Methods: The participants were 3032 fourth-grade students (42.6% female; 80.6% one-child families; 32.9% lower income level families, 33.3% middle income level families; Mage = 10.59 years, SD=0.32) from 535 primary schools. Students in the target classes were invited to participate anonymously in the questionnaire survey in classrooms. Then, SPSS, AMOS and other software were used to analyze the data. Results: 1) Parent-child technoference, negative parenting styles and child problematic smartphone use were positively correlated with each other, while they were negatively correlated with parent-child relationship; 2) Parent-child technoference can not only directly and positively predict child problematic smartphone use, but also indirectly and positively predict child problematic smartphone use through parent-child relationship and negative parenting styles respectively; 3) Parent-child relationship and negative parenting styles play a chain mediating role between parent-child technoference and child problematic smartphone use; 4) There are significant gender differences in the chain mediation model. Conclusion: The results showed that parent-child technoference significantly affected child problematic smartphone use through a chain mediation of parent-child relationship and negative parenting styles. Gender differences were observed, with girls experiencing a more pronounced disruption in the parent-child relationship, while boys were more likely to develop problematic smartphone use. In cases of strained parent-child relationships due to technoference, girls also tended to perceive more negative parenting styles. These findings promote parents' understanding of the influencing factors and mechanisms of child problematic smartphone use, especially helpful for follow-up measures to prevent and intervene child problematic smartphone use from the perspective of families and parents.

The relationship between short-form video use and depression among Chinese adolescents: Examining the mediating roles of need gratification and short-form video addiction.

Short-form video apps, such as TikTok, have become popular worldwide. Compared to traditional social media, they have powerful push algorithms and are more entertaining, which might lead to some negative effects. Research has attempted to identify the relationship between short-form video use and depression, but the processes mechanism underly the relationship was few in number. The present study explored the association between short-form video use and depression among Chinese adolescents and analyzed the mediating roles of need gratification and short-form video addiction. The participants included 1302 senior high school students (Mage = 16.03, SD = 0.76, 42.6 % boys). And a structure equation model with chain mediating was established using Mplus. The results showed (1) a direct association between short-form video use and adolescent depression, (2) that entertainment need gratification, social-related need gratification, and short-form video addiction acted as chain mediating factors, and (3) no gender difference in the model. The present study's findings revealed the important mediating role of addictive behavior between normal use behavior and depression and suggested that preventative and interventional plans based on need gratification should be developed to reduce short-form video addiction and improve mental health.

An aldehyde dehydrogenase gene, GhALDH7B4_A06, positively regulates fiber strength in upland cotton (Gossypium hirsutum L.).

High fiber strength (FS) premium cotton has significant market demand. Consequently, enhancing FS is a major objective in breeding quality cotton. However, there is a notable lack of known functionally applicable genes that can be targeted for breeding. To address this issue, our study used specific length-amplified fragment sequencing combined with bulk segregant analysis to study FS trait in an F2 population. Subsequently, we integrated these results with previous quantitative trait locus mapping results regarding fiber quality, which used simple sequence repeat markers in F2, F2:3, and recombinant inbred line populations. We identified a stable quantitative trait locus qFSA06 associated with FS located on chromosome A06 (90.74-90.83 Mb). Within this interval, we cloned a gene, GhALDH7B4_A06, which harbored a critical mutation site in coding sequences that is distinct in the two parents of the tested cotton line. In the paternal parent Ji228, the gene is normal and referred to as GhALDH7B4_A06O; however, there is a nonsense mutation in the maternal parent Ji567 that results in premature termination of protein translation, and this gene is designated as truncated GhALDH7B4_A06S. Validation using recombinant inbred lines and gene expression analysis revealed that this mutation site is correlated with cotton FS. Virus-induced gene silencing of GhALDH7B4 in cotton caused significant decreases in FS and fiber micronaire. Conversely, GhALDH7B4_A06O overexpression in Arabidopsis boosted cell wall component contents in the stem. The findings of our study provide a candidate gene for improving cotton fiber quality through molecular breeding.

Skin and soft tissue infection suspiciously caused by Klebsiellapneumoniae in an aquaculture worker: A case report.

Skin and soft tissue infections (SSTIs), which are mainly caused by Gram-positive cocci existing on the skin surface, are more common than those caused by Gram-negative bacteria; however, the role of Gram-negative bacteria as emerging pathogens in SSTIs cannot to be ignored. Klebsiella pneumoniae is an opportunistic pathogenic bacterium that mainly inhabits the respiratory and intestinal tracts of humans and animals, as well as the environment, including aquaculture farms. This bacterium can cause multiple infections in humans and animals. The present study reports the case of a SSTI which was suspected to be caused by Klebsiella pneumoniae in a 74-year-old farmer with venous thrombosis. The patient had exposed his four bare limbs to the farmed shrimps and shrimp pond routinely. Pustule and skin ulcers were observed on both the legs of the patient. After receiving anti-infection therapy, the SSTI was almost completely resolved on day 9 and the patient was then discharged.

TRIM45 facilitates NASH-progressed HCC by promoting fatty acid synthesis via catalyzing FABP5 ubiquitylation.

Non-alcoholic steatohepatitis (NASH) is rapidly surpassing viral hepatitis as the primary cause of hepatocellular carcinoma (HCC). However, understanding of NASH-progressed HCC remains poor, which might impede HCC diagnosis and therapy. In this study, we aim to identify shared transcriptional changes between NASH and HCC, of which we focused on E3 ligase TRIM45. We found TRIM45 exacerbates HCC cells proliferation and metastasis in vitro and in vivo. Further transcriptome analysis revealed TRIM45 predominantly affects fatty acid metabolism and oleic acid restored impaired proliferation and metastasis of TRIM45-deficient HCC cells. IP-tandem mass spectrum and FABP5 depriving experiment indicated that TRIM45 enhance fatty acid synthesis depending on FABP5 presence. Interestingly, we found TRIM45 directly added K33-type and K63-type poly-ubiquitin chains to FABP5 NLS domain, which ultimately promoted FABP5 nuclear translocation. Nuclear FABP5 interacted with PPARγ to facilitate downstream lipid synthesis gene expression. We observed TRIM45 accelerated NASH-to-HCC transition and exacerbated both NASH and NASH-HCC with the enhanced fatty acid production in vivo. Moreover, high concentration of fatty acid increased TRIM45 expression. The established mechanism was substantiated by gene expression correlation in TCGA-LIHC. Collectively, our research revealed a common lipid reprograming process in NASH and HCC and identified the cyclical amplification of the TRIM45-FABP5-PPARγ-fatty acid axis. This signaling pathway offers potential therapeutic targets for therapeutic intervention in NASH and NASH-progressed HCC.

Predicting underwater acoustic transmission loss in the SOFAR channel from ray trajectories via deep learning.

Predicting acoustic transmission loss in the SOFAR channel faces challenges, such as excessively complex algorithms and computationally intensive calculations in classical methods. To address these challenges, a deep learning-based underwater acoustic transmission loss prediction method is proposed. By properly training a U-net-type convolutional neural network, the method can provide an accurate mapping between ray trajectories and the transmission loss over the problem domain. Verifications are performed in a SOFAR channel with Munk's sound speed profile. The results suggest that the method has potential to be used as a fast predicting model without sacrificing accuracy.

Clinical Application of Self-Expanding Metal Stents in the Treatment of Obstructive Colorectal Cancer.

Objective: To investigate the safety and efficacy of self-expanding metal stent placement in treating obstructive colorectal cancer. Methods: A retrospective analysis was conducted on 33 patients with self-expanding metal stents. The technical success rate, clinical success rate, and stent-related complications were observed. Results: The success rate of self-expanding metal stent placement in this study was 100% (33/33), indicating that the procedure was technically successful in all cases. The clinical remission rate was 90.9% (30/33), indicating that the stent placement was effective in most cases in relieving obstructive colorectal cancer symptoms. However, the overall incidence of complications related to self-expanding metal stent placement was 12.1% (4/33), with stent displacement and detachment occurring in 3.0% (1/33) of cases each, and gastrointestinal perforation occurring in 6.1% (2/33) of cases. Conclusion: These findings suggest that stent placement is safe and effective, but there is a risk of complications that should be considered. It can serve as a transitional treatment or relieve symptoms in advanced cancer and improve quality of life.

Ontology based autonomous robot task processing framework.

Introduction: In recent years, the perceptual capabilities of robots have been significantly enhanced. However, the task execution of the robots still lacks adaptive capabilities in unstructured and dynamic environments. Methods: In this paper, we propose an ontology based autonomous robot task processing framework (ARTProF), to improve the robot's adaptability within unstructured and dynamic environments. ARTProF unifies ontological knowledge representation, reasoning, and autonomous task planning and execution into a single framework. The interface between the knowledge base and neural network-based object detection is first introduced in ARTProF to improve the robot's perception capabilities. A knowledge-driven manipulation operator based on Robot Operating System (ROS) is then designed to facilitate the interaction between the knowledge base and the robot's primitive actions. Additionally, an operation similarity model is proposed to endow the robot with the ability to generalize to novel objects. Finally, a dynamic task planning algorithm, leveraging ontological knowledge, equips the robot with adaptability to execute tasks in unstructured and dynamic environments. Results: Experimental results on real-world scenarios and simulations demonstrate the effectiveness and efficiency of the proposed ARTProF framework. Discussion: In future work, we will focus on refining the ARTProF framework by integrating neurosymbolic inference.

Inhibition of phosphodiesterase 4 attenuates aquaporin 4 expression and astrocyte swelling following cerebral ischemia/reperfusion injury.

We have previously shown that phosphodiesterase 4 (PDE4) inhibition protects against neuronal injury in rats following middle cerebral artery occlusion/reperfusion (MCAO/R). However, the effects of PDE4 on brain edema and astrocyte swelling are unknown. In this study, we showed that inhibition of PDE4 by Roflumilast (Roflu) reduced brain edema and brain water content in rats subjected to MCAO/R. Roflu decreased the expression of aquaporin 4 (AQP4), while the levels of phosphorylated protein kinase B (Akt) and forkhead box O3a (FoxO3a) were increased. In addition, Roflu reduced cell volume and the expression of AQP4 in primary astrocytes undergoing oxygen and glucose deprivation/reoxygenation (OGD/R). Consistently, PDE4B knockdown showed similar effects as PDE4 inhibition; and PDE4B overexpression rescued the inhibitory role of PDE4B knockdown on AQP4 expression. We then found that the effects of Roflu on the expression of AQP4 and cell volume were blocked by the Akt inhibitor MK2206. Since neuroinflammation and astrocyte activation are the common events that are observed in stroke, we treated primary astrocytes with interleukin-1ß (IL-1ß). Astrocytes treated with IL-1ß showed decreased AQP4 and phosphorylated Akt and FoxO3a. Roflu significantly reduced AQP4 expression, which was accompanied by increased phosphorylation of Akt and FoxO3a. Furthermore, overexpression of FoxO3a partly reversed the effect of Roflu on AQP4 expression. Our findings suggest that PDE4 inhibition limits ischemia-induced brain edema and astrocyte swelling via the Akt/FoxO3a/AQP4 pathway. PDE4 is a promising target for the intervention of brain edema after cerebral ischemia.

The prevalence and genotypes of Cryptosporidium spp. in bar-headed goose (Anser indicus) in China.

Cryptosporidium spp. is an important foodborne and waterborne pathogen in humans and animals, causing diarrhoea in humans and respiratory and gastrointestinal diseases in birds. However, reports of Cryptosporidium infection in bar-headed goose are limited. To determine the infection rate and species/genotypes of Cryptosporidium in bar-headed goose in China, a total of 358 fecal samples were collected from 3 regions. Nested PCR was used to amplify Cryptosporidium SSU rRNA regions from the fecal extracted-DNA samples. The total infection rate of Cryptosporidium in bar-headed in China was 3.9 % (14/358), with 4.2 % (5/120) in Aba (Ngawa) Tibetan and Qiang Autonomous Prefect, Sichuan province, 7.6 % (9/119) in Maqu county, Gansu province, and 0.0 % (0/119) in Caohai, Wei ning county, Guizhou province. The differences in prevalence rate by region were statistically significant. All positive samples were identified as Cryptosporidium goose genotype I (n = 14). This is the first systematic investigation of the epidemiological status and dominant species/genotypes of Cryptosporidium in bar-headed goose in China, thereby enhancing our understanding of the epidemiology of Cryptosporidium infection in wild migratory birds.