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sonable accuracy which surpassed that of CLL-IPI which was evaluated using the CLL-TIM model. Furthermore, we found that a machine learning model trained exclusively using inexpensive features only incurred a modest decrease in performance compared to the model trained using all of the features. Due to the small number of patients in this study it is necessary to validate the results on a larger population.This study develops a new hybrid active contraction model for myocardial dynamics abstracted from sarcomere by combining the phenomenologically active-stress based Hill model and the micro-structurally motivated active strain approach. This new model consists of a passive branch and a parallel active branch that consists of a serial passive element for active tension transmission and a contractile unit for active tension development. This rheology represents an additive decomposition of the total stress into a passive and active response. The active stress is formulated following the active strain approach based on the sliding filament theory by multiplicatively decomposing the stretch of the contractile element into a fictitious and an active part. The length-dependence and force-velocity are further incorporated in the active strain. We estimate the passive stiffness of the serial passive element using literature data, which is 250 kPa, then the active stress is computed from the serial passive element in t filament theory.Rare disease data is often fragmented within multiple heterogeneous siloed regional disease registries, each containing a small number of cases. These data are particularly sensitive, as low subject counts make the identification of patients more likely, meaning registries are not inclined to share subject level data outside their registries. At the same time access to multiple rare disease datasets is important as it will lead to new research opportunities and analysis over larger cohorts. To enable this, two major challenges must therefore be overcome. The first is to integrate data at a semantic level, so that it is possible to query over registries and return results which are comparable. The second is to enable queries which do not take subject level data from the registries. To meet the first challenge, this paper presents the FAIRVASC ontology to manage data related to the rare disease anti-neutrophil cytoplasmic antibody (ANCA) associated vasculitis (AAV), which is based on the harmonisation of terms d queries to provide a novel infrastructure that can readily incorporate additional registries, thus providing access to harmonised data relating to unprecedented numbers of patients with rare disease, while also meeting data privacy and security concerns.Adolescent Idiopathic Scoliosis (AIS), an abnormal lateral curvature of the patient's spine with vertebral rotation, is one of the biggest problems in the orthopedic profession. Non-surgical treatments of AIS, including bracing, has the following limitations i) sensor-less design and lack of closed-loop control on the motion and forces exerted on the torso result in no adaption to the skeletal changes during the treatment, ii) lack of interaction control may also make the brace inconvenient and insecure for the patient. In this paper, a novel robotic exoskeleton equipped with linear actuators, position, and force sensors is developed to control the motion and forces exerted on the torso. It consists of three Stewart-Gough Platforms (SGP). Robotic AIS rehabilitation is modeled by combining the dynamics formulation of each SGP with the mass-spring-damper model of the thoracic segment and utilizing the inverse dynamics problem to compute the required forces for moving the spine to the desired position. Numerical ADAMS and MATLAB simulations are used to verify the interaction dynamics formulation. In addition, impedance control is used to control the interaction instead of using position and force control separately. A Model Reference Adaptive Impedance Control (MRAIC) is also proposed to compensate for the negative effects of uncertainties existing in the interaction dynamics modeling and improve the interaction control. The performance of the MRAIC is verified and validated using numerical MATLAB simulations and real-time experiments in terms of position tracking and reference impedance model tracking.In response to the long-term potential toxicity concerns of tubulin destabilizer, an enzyme-responsive prodrug therapy for triple-negative breast cancer was developed based on the different β-glucuronidase levels between tumor and normal tissues in this study. All the prodrugs synthesized herein showed remarkable stability in phosphate buffer and bovine serum solution, among which 17a was found to be more susceptible to enzymatic cleavage. selleck chemicals 17a exhibited excellent selectivity between the in vitro antiproliferative activities against β-glucuronidase-pretreated and -untreated cancer cells (IC50 (+Enz) = 8.9-15.7 nM, IC50 (-Enz) > 50 μM), along with favorable liver microsomal metabolic stability and improved aqueous solubility. Furthermore, as a candidate prodrug 17a showed potent antitumor efficacy in MDA-MB-231 xenograft mouse model without causing perceptible injury to organs. Importantly, 17a exhibited superior safety profiles with higher LD50 value and no perceivable cardiotoxicity, which was a major dose-limiting adverse effect for the parent compound 1. These salient toxicity-reduced effects of 17a would merit further in-depth assessment of this compound for preclinical therapeutic usages.RNA-directed DNA methylation (RdDM) and ROS1-dependent active DNA demethylation pathways are antagonistic processes that dynamically regulate site-specific methylation. In this study, we obtained a mutant with reduced luciferase (LUC) luminescence by genetic screening, which was named rll5-1 (for reduced LUC luminescence 5-1). The rll5-1 mutant showed narrower, frizzled and curly leaves, and the low-LUC-luminescence phenotype in the rll5-1 mutant can be largely restored by DNA methylation inhibitor 5-Aza-2'-deoxycytidine. Map-based cloning coupled with genome resequencing data revealed that a nucleotide substitution of G to A was found at the 124th bp of ORF of At4G10190, leading to an aspartate-to-asparagine change at position 42 in such a protein. Bisulfite sequencing data indicated that DNA methylation of 3' region of the double 35S promoter that drives the LUC expression was appreciably increased. Further analysis revealed that there were 4747 hypo-DMRs and 936 hyper-DMRs found in the rll5-1 genome, and the hypo-DMRs was predominantly distributed on TEs, which appeared to stem from the downregulation of a few RdDM pathway genes and DNA methyltransferase genes. Closer inspection demonstrated that there were 1229 hypo-DMRs commonly shared among rll5-1, nrpd1-3 and nrpe1-11, and a total of 1349 hypo-DMRs were common to rll5-1 and cmt2 mutants. Thus, these studies demonstrate the roles of RLL5 in preventing transgene silencing and in maintaining genome-wide DNA methylation in a direct/indirect or locus-specific manner.Acute lung injury (ALI) is an urgent respiratory disease without effective treatment. Mesencephalic astrocyte-derived neurotrophic factor (MANF)has been demonstrated to play a suppressive role in some inflammatory conditions. However, the effect of MANF on ALI has not yet been reported. In this study, we collected bronchoalveolar lavage fluid (BALF) from the patients with or without pulmonary inflammation, and used lipopolysaccharide (LPS) to induce mice ALI model. Mono-macrophage-specific MANF knockout (MKO) mice were constructed and recombinant human MANF protein was used to ALI mice. We found that the endogenous MANF protein in both human BALF and mice lung tissues was increased in inflammatory conditions. MANF level in the macrophages of inflammatory lung was higher than that in normal controls in both human and mice. MANF deficiency in macrophages induced lung inflammation and aggravated LPS-induced lung injury. MANF lowered LPS-induced lung injury, inhibited macrophage polarization to M1 functional type. Meanwhile, MANF inhibited-LPS induced activation of NF-κB signal pathway by down regulating phosphorylated p65in lung tissue and macrophages. These results indicate that MANF acts as a suppressor in ALI via negatively regulating NF-κB activation and macrophages polarization, which may be a novel potential target and shed light on ALI therapy.The fight against neurodegenerative diseases, including Parkinson's disease (PD), is a global challenge of this century. The effectiveness of current PD therapy is limited, since it is diagnosed many years after the onset, following the death of most nigrostriatal dopaminergic neurons regulating motor function. PD treatment could be greatly improved if it was started at an early (preclinical) stage. For this purpose, it is necessary to develop an early diagnosis of PD, which is the goal of our study. We have developed an early diagnosis of PD on animal models using a provocative test by intranasal administration of α-methyl-p-tyrosine methyl ester (αMPTME), a reversible inhibitor of dopamine synthesis. First, we produced the provocative agent, αMPTME in gel, and showed its safety and penetration into the brain bypassing the blood-brain barrier. Then, the optimal dose of αMPTME and time after administration were selected, at which the level of dopamine in the striatum of intact animals decreases, but does not reach the 30% threshold for the appearance of motor disorders in PD patients. Finally, we proved on animal models that intranasal administration of αMPTME can serve as a diagnostic test for preclinical PD. Indeed, intranasal administration of αMPTME to mice in a model of PD at the preclinical stage reversibly reduced the dopamine level in the striatum to the 30% threshold causing short-term motor disorders. Thus, using animal models of PD, we have developed a provocative test for the preclinical diagnosis of PD, a fundamentally new technology in neurology.Alveolar echinococcosis caused by Echinococcus multilocularis is an important zoonotic disease, a great threat to human health due to limited interventions. microRNAs are a type of small non-coding RNA that plays a key role in many diseases and is considered as a potential therapeutic target for control of parasitic diseases. However, naked miRNAs are difficult to enter into cells and are easily degraded in both external and internal environments. Chitosan (CS) has recently been used as a promising vehicle for delivery of nucleic acids. Therefore, we prepared miRNA-bearing CS nanoparticles and investigated the physicochemical properties as well as the delivery efficiency. We found that CS nanoparticles was relatively stable, offered miRNA strong protection from degradation and had low cytotoxicity with no significant effects on cell proliferation and apoptosis. CS nanoparticles were shown to be easily absorbed by cells and have remarkable liver tropism. Furthermore, CS nanoparticles were used to efficiently deliver E. multilocularis miR-4989 in vitro and in vivo and caused a significant reduction in the expression of UBE2N in the liver, a potential target of emu-miR-4989, at both mRNA and protein levels. Our data demonstrate that CS nanoparticles can act as a vehicle for efficient liver-targeted delivery of miRNAs and for development of miRNA-based therapeutics against E. multilocularis infection.
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