A Well-Established Gut Microbiota Enhances the Efficiency of Nutrient Metabolism and Improves the Growth Performance of Trachinotus ovatus.

The gut microbiota has become an essential component of the host organism and plays a crucial role in the host immune system, metabolism, and physiology. Nevertheless, our comprehension of how the fish gut microbiota contributes to enhancing nutrient utilization in the diet and improving host growth performance remains unclear. In this study, we employed a comprehensive analysis of the microbiome, metabolome, and transcriptome to analyze intestines of the normal control group and the antibiotic-treated model group of T. ovatus to investigate how the gut microbiota enhances fish growth performance and uncover the underlying mechanisms. First, we found that the growth performance of the control group was significantly higher than that of the antibiotic-treated model under the same feeding conditions. Subsequent multiomics analyses showed that the gut microbiota can improve its own composition by mediating the colonization of some probiotics represented by Lactobacillus in the intestine, improving host metabolic efficiency with proteins and lipids, and also influencing the expression of genes in signaling pathways related to cell proliferation, which together contribute to the improved growth performance of T. ovatus. Our results demonstrated the important contribution of gut microbiota and its underlying molecular mechanisms on the growth performance of T. ovatus.

Task Assignment Optimization in Multi-UAV-Assisted WSNs Considering Energy Budget and Sensor Distribution Characteristics.

In emergency situations, such as disaster area monitoring, deadlines for data collection are strict. The task time minimization problem concerning multi-UAV-assisted data collection in wireless sensor networks (WSNs), with different distribution characteristics, such as the geographical or importance of the information of the sensors, is studied. Our goal is to minimize the mission time for UAVs by optimizing their assignment, trajectory, and deployment locations, while the UAV energy constraint is taken into account. For the coupling relationship between the task assignment, trajectory, and hover position, it is not easy to solve the mixed integer non-convex problem directly. The problem is divided into two sub-problems: (1) UAV task assignment problem and (2) trajectory and hover position optimization problem. To solve this problem, an assignment algorithm, based on sensor distribution characteristics (AASDC), is proposed. The simulation results show that the collection time of our scheme is shorter than that of existing comparison schemes when using the same data size.

Completion Time Minimization for UAV-UGV-Enabled Data Collection.

In unmanned aerial vehicle (UAV)-enabled data collection systems, situations where sensor nodes (SNs) cannot upload their data successfully to the UAV may exist, due to factors such as SNs' insufficient energy and the UAV's minimum flight altitude. In this paper, an unmanned ground vehicle (UGV)-UAV-enabled data collection system is studied, where data collection missions are conducted by a UAV and a UGV cooperatively. Two cooperative strategies are proposed, i.e., collaboration without information interaction, and collaboration with information interaction. In the first strategy, the UGV collects data from remote SNs (i.e., the SNs that cannot upload data to the UAV) as well as some normal SNs (i.e., the SNs that can upload data to the UAV), while the UAV only collects data from some normal SNs. Then, they carry the data back to the data center (DC) without interacting with each other. In the second strategy, the UGV only collects data from remote SNs, while transmitting the collected data to the UAV at a data interaction point, then the data are carried back to the DC by the UAV. There are mobile data collection nodes on the ground and in the air, and the task is to find trajectories to minimize the data collection time in the data center. A collaborative strategy selection algorithm, combining a multi-stage-based SN association and UAV-UGV path optimization algorithm, is proposed to solve the problem effectively, where techniques including convex optimization and genetic algorithm are adopted. The simulation result shows that the proposed scheme reduces the mission completion time by 36% compared with the benchmark scheme.

Endovascular thrombectomy versus standard medical treatment for stroke patients with acute basilar artery occlusion: a systematic review and meta-analysis.

BACKGROUND: Whether endovascular thrombectomy (EVT) is superior to standard medical treatment (SMT) for stroke patients with acute basilar artery occlusion (BAO) is uncertain. This systematic review and meta-analysis aimed to compare the safety and efficacy of EVT with SMT for treating BAO patients. METHODS: Papers were retrieved from PubMed, Embase, and the Cochrane Library databases. The primary outcome of this meta-analysis was favorable functional outcomes at 3 months (defined as a modified Rankin Scale (mRS) score of ≤3). A random effect model was used to calculate risk ratios (RR) with 95% confidence intervals (CIs) per outcome. RESULTS: Five articles, including two randomized controlled trials (RCTs) and four observational cohort studies, comprising 1484 patients (1024 in the EVT group and 460 in the SMT group), were included in the meta-analysis. The pooled results demonstrated no significant differences between the EVT and SMT groups in achieving favorable functional outcomes at 3 months (RR=1.63, 95% CI 0.90, 2.96; p=0.11). However, patients in the EVT group had higher rates for symptomatic intracerebral hemorrhage (RR=6.22, 95% CI 2.06 to 18.76; p=0.001) but lower mortality at 3 months (RR=0.72, 95% CI 0.56 to 0.91; p=0.007) than patients in the SMT group. CONCLUSION: Among patients with BAO, EVT and SMT did not differ significantly in achieving favorable functional outcomes at 3 months, but BAO patients treated with EVT might have lower mortality at 3 months. RCTs are warranted to further assess the efficacy and safety of EVT for BAO patients.

Bta-miR-101 suppresses BEFV replication via targeting NKRF.

MicroRNAs (miRNAs), as a kind of small noncoding RNAs, have been proved to play a regulatory role in virus infection. However, the role and mechanism of cellular miRNAs in bovine transient fever virus (BEFV) infection are largely unknown. In the present study, we found that bta-miR-101 was significantly up-regulated in the Madin-Darby Bovine Kidney (MDBK) cells upon BEFV infection. Notably, bta-miR-101 mimic dramatically inhibited BEFV replication, while bta-miR-101 inhibitor facilitated BEFV replication, suggesting that bta-miR-101 acted as an anti-viral host factor restraining BEFV replication. Subsequently, NF-κB repressing factor (NKRF) was identified as a target gene of bta-miR-101 by dual luciferase reporter assay, and bta-miR-101 mimic significantly down-regulated expression of NKRF, while bta-miR-101 inhibitor up-regulated its expression, respectively. Furthermore, NKRF could induce apoptosis, and favored the replication of BEFV. Finally, bta-miR-101 inhibited BEFV-induced apoptosis via targeting NKRF to suppress virus replication. In general, our study provides a novel mechanism for bta-miR-101 to exert its antiviral function, which provides a theoretical basis for the development of antiviral strategy.

Higenamine protects neuronal cells from oxygen-glucose deprivation/reoxygenation-induced injury.

Higenamine, a plant-based alkaloid, exhibits various properties, such as antiapoptotic and antioxidative effects. Previous studies proved that higenamine possesses potential therapeutic effects for ischemia/reperfusion (I/R) injuries. However, the role of higenamine in cerebral I/R injury has not been fully evaluated. Therefore, we aimed to investigate the effect of higenamine on cerebral I/R injury and the potential mechanism. Our data showed that higenamine ameliorated oxygen-glucose deprivation/reperfusion (OGD/R)-induced neuronal cells injury. Induction of reactive oxygen species and malonaldehyde production, and the inhibition of superoxide dismutase and glutathione peroxidase activity caused by OGD/R were attenuated by higenamine. In addition, higenamine inhibited the increases in caspase-3 activity and Bax expression, and inhibited the decrease in Bcl-2 expression. Furthermore, higenamine elevated the expression levels of p-Akt, heme oxygenase-1 (HO-1) and nuclear factor erythroid 2-related factor 2 (Nrf2). The inhibitor of PI3K/Akt (LY294002) abolished the protective effects of higenamine on OGD/R-induced neuronal cells. These findings indicated that higenamine protects neuronal cells against OGD/R-induced injury by regulating the Akt and Nrf2/HO-1-signaling pathways. Collectively, higenamine might be considered as new strategy for the prevention and treatment of cerebral I/R injury.