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Koumine is an alkaloid that displays notable activity against inflammatory and neuropathic pain, but its therapeutic target and molecular mechanism still need further study. Translocator protein 18 kDa (TSPO) is a vital therapeutic target for pain treatment, and recent research implies that there may be allostery in TSPO. Our previous competitive binding assay hint that koumine may function as a TSPO positive allosteric modulator (PAM). Here, for the first time, we report the pharmacological characterization of koumine as a TSPO PAM. The results imply that koumine might be a high-affinity ligand of TSPO and that it likely acts as a PAM since it could delay the dissociation of 3H-PK11195 from TSPO. Importantly, the allostery was retained in vivo, as koumine augmented Ro5-4864-mediated analgesic and anti-inflammatory effects in several acute and chronic inflammatory and neuropathic pain models. Moreover, the positive allosteric modulatory effect of koumine on TSPO was further demonstrated in cell proliferation assays in T98G human glioblastoma cells. In summary, we have identified and characterized koumine as a TSPO PAM for the treatment of inflammatory and neuropathic pain. Our data lay a solid foundation for the use of the clinical candidate koumine to treat inflammatory and neuropathic pain, further demonstrate the allostery in TSPO, and provide the first proof of principle that TSPO PAM may be a novel avenue for the discovery of analgesics.

In this paper, we present the unified closed-form expressions of average symbol error probability (ASEP) for both types of system (i.e. coherent and incoherent system) in the presence of pointing error over Malaga ( M ) turbulence channel. With the help of the approximation of exponential-type presentation of Q-function, the unified closed-form expressions are presented, which are generic enough to encompass almost all the modulation techniques of which ASEP involves the integral power of Q-function. Then, we capitalize on the results to provide the asymptotic expressions at high signal-to-noise ratio (SNR). Additionally, the diversity order and coding gain are presented, which reveal that the diversity order is depended on the channel condition and detection scheme, while the coding gain is relevant to the modulation techniques. Moreover, some special cases are presented, such as the results under Gamma–Gamma distribution and K-distribution. Numerical results corroborate the accuracy of the closed-form expressions for different modulation techniques under different turbulence conditions.

Objective: Understanding the heterogeneity and pathophysiology of osteoarthritis (OA) is critical to support the development of tailored disease-modifying treatments. To this aim, transcriptomics tools are highly relevant to delineate dysregulated molecular pathways and identify new therapeutic targets. Methods: We review the methodology and outcomes of transcriptomics studies conducted in OA, based on a comprehensive literature search of the PubMed and Google Scholar databases using the terms “osteoarthritis”, “OA”, “knee OA”, “hip OA”, “genes”, “RNA-seq”, “microarray”, “transcriptomic” and “PCR” as key words. Beyond target-focused RT-qPCR, more comprehensive techniques include microarrays, RNA sequencing (RNA-seq) and single cell RNA-seq analyses. Results: The standardization of those methods to ensure the quality of both RNA extraction and sequencing is critical to get meaningful insights. Transcriptomics studies have been conducted in various tissues involved in the pathogenesis of OA, including articular cartilage, subchondral bone and synovium, as well as in the blood of patients. Molecular pathways dysregulated in OA relate to cartilage degradation, matrix and bone remodeling, neurogenic pain, inflammation, apoptosis and angiogenesis. This knowledge has direct application to patient stratification and further, to the identification of candidate therapeutic targets and biomarkers intended to monitor OA progression. Conclusion: In light of its high-throughput capabilities and ability to provide comprehensive information on major biological processes, transcriptomics represents a powerful method to support the development of new disease-modifying drugs in OA.

Optical mobile ad-hoc networks suffer from the atmospheric turbulence. A new kind of routing algorithm based on disruption-tolerant network protocols is proposed. The proposed scheme improves the delivery ratio by 40% in severe network environment.

Leflunomide is an effective drug used in the treatment of rheumatoid arthritis. Here we report the findings of an open-label pilot study, which found that leflunomide is also an effective treatment for myasthenia gravis (MG). This study recruited 15 corticosteroid-dependent MG patients. For 6 months, leflunomide 20 mg was given to these patients daily along with prednisone. The quantitative myasthenia gravis (QMG) scores and MG activities of daily living (MG-ADL) profiles were measured in these MG patients. After 6 months of treatment, 9 of the 15 patients enrolled in this study showed improvements in both QMG and MG-ADL. The mean QMG scores (13.4 to 8.5) and MG-ADL profiles (5.8 to 2.8) were significantly decreased (P = 0.01, 0.006 respectively). Furthermore, we found that the mean corticosteroid doses were reduced after treatment with leflunomide (24.3 to 12.3 mg per day). Leflunomide is a well-tolerated and efficacious treatment for corticosteroid-dependent MG, which may also enable lower doses of corticosteroids to be administered.

The human lower extremity exoskeleton (HLEE) conceived and designed to provide human the ability to carry heavy loads on his back with minimal effort over type of rugged terrain, which integrated human-robotic system under the control of the human. Based on bionics, HLEE structure was analyzed and designed. Mathematical models of human typical gait were built. The Virtual prototype of the human and the Lower Extremity Exoskeleton were produced using Pro/e three-dimensional modeling software and ADAMS kinematic modeling package. Trajectory of human motion was programmed using the cubic spline interpolation. The accuracy and the assumptions feasibility of the model were proven by simulation.