Antidiabetic effect of Tibetan medicine Tang-Kang-Fu-San in db/db mice via activation of PI3K/Akt and AMPK pathways

This study was to investigate the anti-diabetic effects and molecular mechanisms of Tang-Kang-Fu-San (TKFS), a traditional Tibetan medicine, in treating type 2 diabetes mellitus of spontaneous diabetic db/db mice. Firstly HPLC fingerprint analysis was performed to gain the features of the chemical compositions of TKFS. Next different doses of TKFS (0.5 g/kg, 1.0 g/kg, and 2.0 g/kg) were administrated via oral gavage to db/db mice and their controls for 4 weeks. TKFS significantly lowered hyperglycemia and ameliorated insulin resistance (IR) in db/db mice, indicated by results from multiple tests, including fasting blood glucose test, intraperitoneal insulin and glucose tolerance tests, fasting serum insulin levels and homeostasis model assessment of IR analysis as well as histology of pancreas islets. TKFS also decreased concentrations of serum triglyceride, total and low-density lipoprotein cholesterol, even though it did not change the mouse body weights. Results from western blot and immunohistochemistry analysis indicated that TKFS reversed the down-regulation of p-Akt and p-AMPK, and increased the translocation of Glucose transporter type 4 in skeletal muscles of db/db mice. In all, TKFS had promising benefits in maintaining the glucose homeostasis and reducing IR. The underlying molecular mechanisms are related to promote Akt and AMPK activation and Glucose transporter type 4 translocation in skeletal muscles. Our work showed that multicomponent Tibetan medicine TKFS acted synergistically on multiple molecular targets and signaling pathways to treat type 2 diabetes mellitus

Exploration on the upgrading of personnel training mode of safety engineering specialty from the perspective of Internet +

in the context of the Internet + era, in order to eff ectively respond to the new situation of upgrading the personnel training mode of safety engineering major in Colleges and universities, and fundamentally solve the problems of single personnel training mode, low enthusiasm of students and unsatisfactory teaching quality of the major, Based on the in-depth analysis of the current situation of personnel training of traditional safety engineering specialty, this paper explores a new path of professional personnel training under the condition of Internet popularization, puts forward the positioning of innovative talents, and comprehensively reforms the teaching content of personnel training of safety engineering specialty, It is believed that this has important guiding signifi cance for the cultivation of modern talents and the improvement of the adaptability of talents to future jobs

GW26-e2301 The CHADS2 and CHA2DS2-VASc scores for predicting ischemic stroke amongst Asian patients with atrial fibrillation: A systemic review and meta-analysis

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Qingpeng Ointment Ameliorates Inflammatory Responses and Dysregulation of Itch-Related Molecules for Its Antipruritic Effects in Experimental Allergic Contact Dermatitis

The pathogenesis of itchy skin diseases including allergic contact dermatitis (ACD) is complicated and the treatment of chronic itch is a worldwide problem. One traditional Tibetan medicine, Qingpeng ointment (QP), has been used in treatment of ACD in China for years. In this study we used HPLC and LC/MS analysis, combined with a BATMAN-TCM platform, for detailed HPLC fingerprint analysis and network pharmacology of QP, and investigated the anti-inflammatory and antipruritic activities of QP on ACD induced by squaric acid dibutylester (SADBE) in mice. The BATMAN-TCM analysis provided information of effector molecules of the main ingredients of QP, and possible chronic dermatitis-associated molecules and cell signaling pathways by QP. In ACD mice, QP treatment suppressed the scratching behavior induced by SADBE in a dose-dependent manner and inhibited the production of Th1/2 cytokines in serum and spleen. Also, QP treatment reversed the upregulation of mRNAs levels of itch-related genes in the skin (TRPV4, TSLP, GRP, and MrgprA3) and DRGs (TRPV1, TRPA1, GRP, and MrgprA3). Furthermore, QP suppressed the phosphorylation of Erk and p38 in the skin. In all, our work indicated that QP can significantly attenuate the pathological alterations of Th1/2 cytokines and itch-related mediators, and inhibit the phosphorylation of MAPKs to treat the chronic itch

Survival and Clinicopathological Significance of SIRT1 Expression in Cancers: A Meta-Analysis

Background: Silent information regulator 2 homolog 1 (SIRT1) is an evolutionarily conserved enzymes with nicotinamide adenine dinucleotide (NAD)+-dependent deacetylase activity. SIRT1 is involved in a large variety of cellular processes, such as genomic stability, energy metabolism, senescence, gene transcription, and oxidative stress. SIRT1 has long been recognized as both a tumor promoter and tumor suppressor. Its prognostic role in cancers remains controversial.Methods: A meta-analysis of 13,138 subjects in 63 articles from PubMed, EMBASE, and Cochrane Library was performed to evaluate survival and clinicopathological significance of SIRT1 expression in various cancers.Results: The pooled results of meta-analysis showed that elevated expression of SIRT1 implies a poor overall survival (OS) of cancer patients [Hazard Ratio (HR) = 1.566, 95% CI: 1.293–1.895, P < 0.0001], disease free survival (DFS) (HR = 1.631, 95% CI: 1.250–2.130, P = 0.0003), event free survival (EFS) (HR = 2.534, 95% CI: 1.602–4.009, P = 0.0001), and progress-free survival (PFS) (HR = 3.325 95% CI: 2.762–4.003, P < 0.0001). Elevated SIRT1 level was associated with tumor stage [Relative Risk (RR) = 1.299, 95% CI: 1.114–1.514, P = 0.0008], lymph node metastasis (RR = 1.172, 95% CI: 1.010–1.360, P = 0.0363), and distant metastasis (RR = 1.562, 95% CI: 1.022–2.387, P = 0.0392). Meta-regression and subgroup analysis revealed that ethnic background has influence on the role of SIRT1 expression in predicting survival and clinicopathological characteristics of cancers. Overexpression of SIRT1 predicted a worse OS and higher TNM stage and lymphatic metastasis in Asian population especially in China.Conclusion: Our data suggested that elevated expression of SIRT1 predicted a poor OS, DFS, EFS, PFS, but not for recurrence-free survival (RFS) and cancer-specific survival (CCS). SIRT1 overexpression was associated with higher tumor stage, lymph node metastasis, and distant metastasis. SIRT1-mediated molecular events and biological processes could be an underlying mechanism for metastasis and SIRT1 is a therapeutic target for inhibiting metastasis, leading to good prognosis

A Probabilistic Software Framework for Scalable Data Storage and Integrity Check

Data has overwhelmed the digital world in terms of volume, variety and velocity. Data- intensive applications are facing unprecedented challenges. On the other hand, computation resources, such as memory, suffer from shortage comparing to data scale. However, in certain applications, it is a must to process large amount of data in a time efficient manner. Probabilistic approaches are compromises between these three perspectives: large amount of data, limited computation resources and high time efficiency, in the sense that those approaches cannot guarantee 100% correctness, their error rates, however, are predictable and adjustable depending on available computation resources and time constraints. Data storage and data integrity check are two fundamental components in data-intensive applications. Among various data storage platforms, key-value storage is crucial for many applications, such as social networks, online retailing, and cloud computing. Such storage provides support for operations on key-value pairs, and can locate in memory to speed up responses to queries. So far, existing methods have been deterministic. Providing such accuracy, however, comes at the cost of memory and CPU time. In contrast, we present an approximate key-value storage that is more compact and efficient than existing methods. Besides data storage, ensuring data integrity during its life-cycle is also paramount important, particularly in large scale high-performance computing (HPC) applications. Since scientific data can take millions of compute hours to generate, the results often need to be sanitized, validated, and archived for long term storage, and shared with scientific community for further analysis. Ensuring the data integrity of the full dataset at scale is a daunting task, considering that most conventional tools are serial and file-based, and cannot scale. To tackle this particular challenge, we presents the design, implementation and evaluation of two Bloom filter based scalable parallel checksumming tools, for data integrity check and data corruption detection purposes

Adaptive path tracing with programmable bloom filters in software-defined networks

One critical challenge of managing modern data center networks lies in that existing network protocols provide limited visibility on the internal routing and forwarding decisions made by the control plane, leading to difficulties on fast diagnosis and identification of root causes for performance bugs and anomalies. In this paper, we develop and evaluate a 'debugging mode' for packet forwarding, where we demonstrate a possible design space by introducing a programmable header field into data packets used for diagnosis purposes. These headers can be manipulated by routers in intermediate hops to perform tracing and diagnosis operations, thereby providing much greater visibility on the control plane and data plane operations. To make this design scalable and feasible, we exploit the software APIs provided by the latest software-defined networking (SDN) technologies, where the network control plane is separated from the underlying data plane, so that we can reprogram the network forwarding functions dynamically. Compared to existing alternative approaches, our approach is adaptive and programmable, allowing dynamic and on-demand receiver-side decoding with extremely low overhead. We emphasize that as this 'debugging mode' can be enabled and disabled by network managers as demanded, it introduces zero overhead to normal traffic if everything is operating as expected. Our evaluation results on a real SDN network testbed demonstrate the effectiveness of the proposed approaches