Anti-angiotensin II type 1 receptor antibodies (AT1R-Abs) have been recognized as non-human leukocyte antigen antibodies associated with allograft rejection and poor allograft outcomes after kidney ...transplantation. The aim of this study was to assess the risk anti-AT1R-Abs pose for rejection and graft loss among kidney transplant (KT) populations.
We systematically searched PubMed, Embase and the Cochrane Library databases for relevant articles published from inception until June 2021 to identify all studies concerning the role AT1R-Abs play in the clinical outcome after kidney transplantation. Two reviewers independently identified studies, abstracted outcome data and assessed the quality of the studies. The meta-analysis was summarized using fixed-effects or random-effects models, according to heterogeneity. The major outcomes included delayed graft function, acute rejection, graft loss or patient death after transplantation.
Twenty-one eligible studies involving a total of 4023 KT recipients were included in the evaluation. Meta-analysis results showed that the AT1R-Ab-positive KT group had a greater incidence of antibody-mediated rejection {relative risk RR 1.94 95% confidence interval (CI) 1.61-2.33; P < 0.00001} and graft loss RR 2.37 (95% CI 1.50-3.75); P = 0.0002 than did the AT1R-Abs-negative KT group. There was no significant statistical difference in delayed graft function rate, T-cell-mediated rejection, mixed rejection, acute cellular rejection, acute rejection and patient death rate between the AT1R-Ab-positive KT and AT1R-Ab-negative KT groups.
Our study shows that the presence of anti-AT1R-Abs was associated with a significantly higher risk of antibody-mediated rejection and graft loss in kidney transplantation. Future studies are still needed to evaluate the importance of routine anti-AT1R monitoring and therapeutic targeting. These results show that assessment of anti-AT1R-Abs would be helpful in determining immunologic risk and susceptibility to immunologic events for recipients.
Federated learning can achieve distributed machine learning without sharing privacy and sensitive data of end devices. However, high concurrent access to cloud servers increases the transmission ...delay of model updates. Some local models may be unnecessary with an opposite gradient from the global model, thus incurring many additional communication costs. Existing work mainly focuses on reducing communication rounds or cleaning local defect data, and neither takes into account latency associated with high server concurrency. To this end, we study an edge-based communication optimization framework to reduce the number of end devices directly connected to the parameter server while avoiding uploading unnecessary local updates. Specifically, we cluster devices in the same network location and deploy mobile edge nodes in different network locations to serve as hubs for cloud and end devices communications, thereby avoiding the latency associated with high server concurrency. Meanwhile, we propose a method based on cosine similarity to filter out unnecessary models, thus avoiding unnecessary communication. Experimental results show that compared with traditional federated learning, the proposed scheme reduces the number of local updates by 60%, and the convergence speed of the evaluated model increases by 10.3%.
This study was aimed to elucidate the roles of inhibition of related JAK/STAT pathways in regulating cytotoxicity induced by cisplatin in non-small-cell lung cancer (NSCLC) cell. We treated five ...non-small-cell lung cancer cell lines with cisplatin alone or with cisplatin and Jak2 inhibitor (ruxolitinib) and assessed cell viability, expression of Jak2 and STAT3 and cell apoptosis. We also investigated the effect of combination treatment inhibited tumor xenograft growth in two human NSCLC xenograft models bearing the cisplatin resistant (H1299) and sensitive (A549) cells. Different cell lines with different genetic background showed half-maximal inhibitory concentrations (IC
50
) of cisplatin from 4.66 to 68.28 µmol/L. They could be divided into cisplatin intrinsic resistant and cisplatin sensitive cell lines. In cisplatin-resistant cells with higher Jak2 and STAT3 expression, cisplatin and ruxolitinib combination dramatically suppressed the cell growth, down-regulated the expression of phosphorylated STAT3 and induced cleaved caspase-3 expression. Moreover combination with cisplatin and ruxolitinib also significantly inhibited the growth of resistant cell H1299, A549/DDP and H2347 in soft agar model. Finally, combination group significant inhibited the tumor growth and induced the caspase-3 expression compared with either single agent alone (
P
< 0.05) on the resistant cell xenografts model. The present study indicates that further study is warranted to determine the effectiveness of combination treatment with cisplatin and Jak2/stat3 pathway inhibitor for platinum-resistant NSCLC.
Metal matrix syntactic foams (MMSFs) are a class of fascinating particulate composites consisting of metal matrix and hollow spheres, which are promising in the light-weight structural and energy ...absorbing applications. However, the energy absorption capacity of most MMSFs is suffocated inevitably by relatively low strength of traditional metal matrix alloys, such as widely used aluminum and magnesium alloys. Here, we developed a novel MMSF with CoCrFeMnNi high entropy alloy matrix and alumina cenosphere fillers by pressure infiltration, which exhibits an ultra-high energy absorption capacity of 242.8 ± 20.6 MJ m−3, among the highest reported values of MMSFs. We show that this exceptional energy absorption capacity stems from excellent combination of high strength of alumina cenospheres and super-large ductility and fracture toughness of CoCrFeMnNi high entropy alloy. These results shed new light into design of advanced light-weight and energy absorbing materials.
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•High-entropy alloy CoCrFeMnNi/Al2O3 cenospheres syntactic foam was developed.•The syntactic foam has an ultra-high energy absorption of 242.8 ± 20.6 MJ m−3.•The compressive strength of CoCrFeMnNi syntactic foam is 241.5 ± 20.3 MPa.•The high energy absorption stems from the excellent fracture toughness of matrix.
We aimed to improve the outcome of t(8;21) acute myeloid leukemia (AML) in the first complete remission (CR1) by applying risk-directed therapy based on minimal residual disease (MRD) determined by ...RUNX1/RUNX1T1 transcript levels. Risk-directed therapy included recommending allogeneic hematopoietic stem cell transplantation (allo-HSCT) for high-risk patients and chemotherapy/autologous-HSCT (auto-HSCT) for low-risk patients. Among 116 eligible patients, MRD status after the second consolidation rather than induction or first consolidation could discriminate high-risk relapse patients (P = .001). Allo-HSCT could reduce relapse and improve survival compared with chemotherapy for high-risk patients (cumulative incidence of relapse CIR: 22.1% vs 78.9%, P < .0001; disease-free survival DFS: 61.7% vs 19.6%, P = .001), whereas chemotherapy/auto-HSCT achieved a low relapse rate (5.3%) and high DFS (94.7%) for low-risk patients. Multivariate analysis revealed that MRD status and treatment choice were independent prognostic factors for relapse, DFS, and OS. We concluded that MRD status after the second consolidation may be the best timing for treatment choice. MRD-directed risk stratification treatment may improve the outcome of t(8;21) AML in CR1. This trial was registered at http://www.chictr.org as #ChiCTR-OCH-12002406.
•Risk stratification treatment of t(8;21) acute myeloid leukemia may decrease relapse and improve long-term survival.•Allo-HSCT benefited high-risk patients, but impaired the survival of low-risk patients.
In this paper, two new Cu(II) complexes, Cu(Gluc)(HPB)(H2O)Gluc (CuG1) and Cu(Gluc)(HPBC)(H2O)Gluc (CuG2) (where HPB = 2-(2′-pyridyl)benzimidazole, HPBC = 5-chloro-2-(2′-pyridyl)benzimidazole, ...Gluc = d-Gluconic acid), with good water solubility were synthesized and characterized. These complexes exhibited a five-coordinated tetragonal pyramidal geometry. The DNA binding and cleavage properties of the complexes were investigated using multi-spectroscopy, viscosity measurement, molecular docking and gel electrophoresis analysis methods. The results showed that the complexes could interact with DNA by insertion and groove binding, and cleave CT-DNA through a singlet oxygen-dependent pathway in the presence of ascorbic acid. The studies on antibacterial and anticancer activities in vitro demonstrated that both complexes had good inhibitory activity against three Gram-positive bacteria (Staphylococcus aureus, Bacillus subtilis, Listeria monocytogenes) and one Gram-negative bacterium (Escherichia coli) and good cytotoxic activity toward the tested cancer cells (A549, HeLa and SGC-7901). CuG2 showed higher antimicrobial and cytotoxic activities than CuG1, which was consistent with their binding strength and cleavage ability to DNA, indicating that their antimicrobial and cytotoxic activities may be related to the DNA interaction. Moreover, the cell-based mechanism studies have indicated that CuG1 and CuG2 could arrest the cell cycle at G2/M phase, elevate the levels of intracellular reactive oxygen species (ROS) and decrease the mitochondrial membrane potential (MMP). The results showed that the complexes could induce apoptosis through DNA-damaged and ROS-mediated mitochondrial dysfunction pathways. Finally, the in vivo antitumor study revealed that CuG2 inhibited tumor growth by 50.44%, which is better than that of cisplatin (40.94%).
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•Two new water-soluble copper(II) complexes containing gluconic acid were synthesized.•The complexes interacted with DNA by insertion and groove binding modes via hydrophobic and hydrogen-bonding interactions.•The complexes with good anticancer activity induced apoptosis through ROS-mediated mitochondrial dysfunction pathways.•CuG2 revealed high cytotoxic activity in vivo and the tumor growth inhibition rate was higher than that of cisplatin.
The site selection of sports facilities is a pivotal link in the construction of city livable environment and the development of sports business in digital-twinning cities. Recent years have ...witnessed data mining and visualization technologies bringing the convenience as well as opportunities for intelligent site selection. However, the lack of effective and reliable systematic analysis leads to difficulties in developing sports facilities planning schemes and constructing the site-selection system. In this article, we design Sport facility Visual analysis system (SpoVis), an interactive visual analysis system for planning sports facilities as well as site selection. SpoVis provides users with the distribution status and statistical analysis of various sports facilities. Based on a comprehensive consideration of city population distribution, construction cost, existing sports facilities, traffic situation, and development potential, SpoVis provides users with a reasonable site-selection scheme of sports facilities from both macro and microperspectives and recommends results through topology and map. Meanwhile, based on the distribution of existing sports facilities and city influencing factors, a set of visual analysis components are designed to facilitate users to evaluate the status and information of existing sports facilities. We have carried out extensive experiments on a real platform with real-world data. The experimental results show that the proposed site-selection models and algorithms have excellent accuracy and operation efficiency.
We consider the problem of minimizing the sum of an average of a large number of smooth convex component functions and a possibly nonsmooth convex function that admits a simple proximal mapping. This ...class of problems arises frequently in machine learning, known as regularized empirical risk minimization (ERM). In this article, we propose mSRGTR-BB, a minibatch proximal stochastic recursive gradient algorithm, which employs a trust-region-like scheme to select stepsizes that are automatically computed by the Barzilai-Borwein method. We prove that mSRGTR-BB converges linearly in expectation for strongly and nonstrongly convex objective functions. With proper parameters, mSRGTR-BB enjoys a faster convergence rate than the state-of-the-art minibatch proximal variant of the semistochastic gradient method (mS2GD). Numerical experiments on standard data sets show that the performance of mSRGTR-BB is comparable to and sometimes even better than mS2GD with best-tuned stepsizes and is superior to some modern proximal stochastic gradient methods.
Two new copper( ii ) complexes of sparfloxacin (sf), Cu(Hsf)(HPB)(H 2 O)(ClO 4 ) 2 (1) and Cu(Hsf)(PBT)(H 2 O)(ClO 4 ) 2 (2) (where HPB = 2-(2′-pyridyl)benzimidazole and PBT = 2-(4′-pyridyl) ...benzothiazole), have been synthesized and characterized by physicochemical and spectroscopic techniques. The oil–water partition coefficient (log P ) values of complexes 1 and 2 were 1.47 and 1.71, respectively. By studying the interaction between the complexes and DNA, it was found that the complexes could bind to DNA through an intercalation mode. Moreover, both complexes were evaluated for antitumor activity, revealing that the complexes displayed good inhibitory activity toward the tested cancer cell lines (human lung carcinoma A549 cells, human hepatocellular carcinoma Bel-7402 cells and human esophageal carcinoma Eca-109 cells), but showed relatively low toxicity against normal human hepatic LO2 cells. In particular, the antitumor mechanism of the complexes on Eca-109 cells was investigated by morphological analysis, apoptosis analysis and determination of cell cycle arrest, mitochondrial membrane potential, reactive oxygen species (ROS) levels, and release of cytochrome c and Ca 2+ . The results demonstrated that the complexes could induce loss of intracellular mitochondrial functions and increase of ROS levels, which led to an increase of Ca 2+ levels and the release of cytochrome c into the cytoplasm. In addition, the cell cycle was arrested in the G2/M phase, and western blot analysis showed that the caspase family was activated. These results fully proved that the complexes could induce apoptosis through DNA damage and loss of mitochondrial functions, accompanied by the regulation of endogenous proteins.
Low power Internet of Things (IoT) is suffering from two limitations: battery-power limitation of IoT nodes and inflexibility of infrastructure-node deployment. In this paper, we propose an Unmanned ...Aerial Vehicle (UAV)-enabled data acquisition scheme with directional wireless energy transfer (WET) to overcome the limitations of low power IoT. The main idea of the proposed scheme is to employ a UAV to serve as both a data collector and an energy supplier. The UAV first transfers directional wireless energy to an IoT node which then sends back the data packets to the UAV by using the harvested energy. Meanwhile, we minimize the overall energy consumption under conditions of balanced energy supply and limited overall time. Moreover, we derive the optimal values of WET time and data transmission power. After analysing the feasibility of the optimal WET time and data transmission, we design an allocation scheme based on the feasible ranges of data size level and channel-fading degree. The numerical results show the feasibility and adaptability of our allocation scheme against the varied values of multiple system parameters. We further extend our scheme to the multi-node scenario by re-designing energy beamforming and adopting multi-access mechanisms. Moreover, we also analyse the mobility of UAVs in the proposed scheme.
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