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Dengue fever virus (DENV) is a mosquito-borne flavivirus that poses a serious risk to human health. Aedes albopictus is a widely distributed vector of dengue fever in China. Based on the impact of physiological activity, the microbiome in A. albopictus will provide a novel environment-friendly approach to control DENV transmission. We performed metagenomic sequencing on A. albopictus before and after exposure to DENV blood meal to detect microbiome variation of A. albopictus with different susceptibilities to DENV. The dominant phyla in A. albopictus microbiome were Proteobacteria and Ascomycota, and the dominant genera were Aspergillus and Metarhizium. Gammaproteobacteria bacterium, Lactobacillus harbinensis, and Neurospora crassa differed significantly after DENV infection. There were 15 different microorganisms found to be involved in mosquito immunity and metabolism, such as Alphaproteobacteria bacterium, Methyloglobulus morosus, and Shigella sonnei, which might have an impact on the DENV susceptibility of A. albopictus. It was hypothesized that the lack of specific bacteria may lead to increased susceptibility of A. albopictus to DENV. Interventions in the microbiome composition or specific bacteria of A. albopictus may affect the susceptibility to DENV and control the mosquito-borne diseases efficiently.

Auricular acupressure appears to improve the efficacy of habit reversal treatment, likely by reducing anxiety.

ObjectiveWild animal pathogen surveillance will help to understand the next possible pandemic in advance. Rodents, which have close contact with humans, are generally regarded as a key factor for zoonotic disease control. Given the variation in rodent virus composition in diverse ecologies, we conducted a study on the viral infection of rodents of diverse species in different typical environments of Heilongjiang and Yunnan Provinces, located in northeastern and southwestern China, respectively.MethodsViral metagenomics sequencing and bioinformatic analysis were performed to determine the different distributions of rodent-borne viruses in typical environments of Heilongjiang and Yunnan Provinces, China. After viral culture and PCR confirmation, genomic and phylogenetic quantitative analysis was performed on the detected hantaviruses (HVs) and Beilong viruses (BeiVs).ResultsNineteen rodents from three species and 35 rodents from five species of rodents were collected from Heilongjiang and Yunnan Provinces, respectively. Although the number and number of species of rodents trapped in the northeast were fewer than those in the southwest, viruses annotated from rodents in Heilongjiang were more diverse than those in Yunnan. Rodents carried 22 virus families in Heilongjiang and 13 families in Yunnan. Sequences assembled from Rattus norvegicus were annotated to the M, L, and S segments of HV, and all were clustered within the Seoul-type hantavirus (SEOV). There were 2 (R81Q, S698T) and 4 (K153R, M168I, I279S, and R1790K) amino acid site substitutions in M and L compared with the versions in the most homologous strains. Two BeiV isolates from Rattus norvegicus were closely related to BeiV from brown rats in Hong Kong, with high bootstrap values of >90% in the N segment and > 95% in the L segment. They were further clustered with Tailam virus, forming a distinct group in Paramyxoviridae.ConclusionThe rodents from Heilongjiang and Yunnan located in northeast and southwest China, respectively, had different viral spectra, and only one-third (10/32) of virus families were detected in both areas. The predominant viruses were HV and BeiV in the Hantaviridae and Paramyxoviridae families, respectively. Rodent-borne viruses in the same species were similar in different geographic disparate areas owing to their similar close contact with human habitats and human activities. Additional attention should be given to the monitoring of neglected rodent-borne viruses, especially opportunistic viruses with currently low loads.

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Background: T-cell lymphoma (TCL) has a very poor prognosis with limited treatment options and novel therapeutic target is urgently needed. Our previous studies have found that suppression of membrane-bound prostaglandin E2 synthase l/prostaglandin E2 (mPGES-1/PGE2) exerted anti-neoplastic effects in leukemia cells by suppressing AKT signal pathway. Here, we aim at evaluating the role and mechanism of mPGES-1/ PGE2 signaling in TCL.Methods: Expression of mPGES-1 in TCL cell line Hut78 was analyzed by Western blot and immunofluorescence. CAY10526, a selective mPGES-1 inhibitor, was used to treat Hut 78 cells. Cell viability assays was performed by using cell counting kit-8 (CCK-8). Cell apoptosis rate was examined by flow cytometer. PGE2 synthesis was detected by enzyme immunoassay (EIA). The expression of mPGES-1, cleaved caspase-3, Janus kinase/signal transduction and transcription (JAK/STAT), transforming growth factor-β (TGF-β)/Smad3 and phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) signaling pathway of Hut 78 cells after exposed to CAY10526 was analyzed by Western blot.Results: mPGES-1 was highly expressed in Hut78 cell compared to normal peripheral blood mononuclear cells. CAY10526 inhibited cell proliferation and induced apoptosis in Hut78 cells. These effects may be partially attributed to the activation of the Caspase family and the inhibition of JAK/STAT, TGF-β/ Smad3 and PI3K/AKT signal pathways.Conclusions: Our results suggested that mPGES-1/PGE2 could be a potential therapeutic target for TCL.

This paper studied pricing, service level, and production quantity decision problems in a supply chain with one manufacturer and one retailer under demand and production cost disruptions. The joint impact of demand and production cost disruptions on optimal pricing, service level, and production decisions in centralized and decentralized supply chain was analyzed, respectively. By solving the optimization problem, the optimal decisions of the supply chain were obtained under different demand and production cost disruptions scenarios. It is found that the original production quantity and demand-stimulating service level exhibit some robustness under disruptions in both centralized and decentralized supply chains, while the original optimal pricing does not. In centralized supply chains, it is always beneficial for the central decision-maker to knowing of the accurate information of disruptions. However, sharing disruption information is not always beneficial for both the manufacturer and retailer in decentralized supply chain.