ObjectiveRisk assessment and prognosis prediction are crucial for patients with pulmonary involvement in antineutrophil cytoplasimc antibody associated vasculitis (AAV). This study was conducted to create and internal...
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ObjectiveRisk assessment and prognosis prediction are crucial for patients with pulmonary involvement in antineutrophil cytoplasimc antibody associated vasculitis (AAV). This study was conducted to create and internally validate a prognostic model for mortality of pulmonary involvement in patients with AAV that provides individualized risk *** cohort of 150 patients diagnosed with AAV at the Second Affiliated Hospital of Nanchang University Hospital between January 2013 and July 2022 was included, using data obtained from the Chinese Rheumatism Data Center (CRDC). The model was developed using Cox proportional hazards regression and the least absolute shrinkage and selection operator. To validate the model, assessments were conducted for discrimination, calibration, and through decision curve *** mean survival time of lung involvement AAV patients was 57.0 +/- 4.1 months. In the final predictive model for death, four clinical variables were included: age at baseline, history of tumors, baseline hemoglobin level, and the level of the percentage of forced vital capacity to the normal predicted value. One-, two-, and three-year AAV patients with pulmonary involvement mortality probability-predictive nomogram were established. Internal validation of the model was conducted, yielding Harrell's concordance index (0.884), a Brier score of 0.088, and a calibration curve indicating satisfactory *** constructed a risk model utilizing easily accessible clinical risk factors, which could accurately forecast the future mortality risk associated with pulmonary involvement in AAV patients.
作者:
Zhao, YutingXie, WeiqiDuan, JingyiLi, FeiSichuan Univ
West China Hosp Frontiers Sci Ctr Dis Related Mol Network Dept Gastroenterol & HepatolLab Metabol & Drug in Chengdu 610041 Sichuan Peoples R China Sichuan Univ
West China Hosp State Key Lab Resp Hlth & Multimorbid Chengdu 610041 Sichuan Peoples R China
Limosilactobacillus reuteri DSM 17938 (L. reuteri DSM 17938) was one of the most widely used probiotics in humans for gastrointestinal disorders, but few studies have investigated its role in drug-induced liver injury...
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Limosilactobacillus reuteri DSM 17938 (L. reuteri DSM 17938) was one of the most widely used probiotics in humans for gastrointestinal disorders, but few studies have investigated its role in drug-induced liver injury (DILI). Here, we evaluated the efficacy of L. reuteri DSM 17938 using a mouse model of DILI induced by triptolide. Pregavage of L. reuteri DSM 17938 for 1 week remarkably lowered hepatic inflammatory cytokines level and oxidative stress, with diminished serum alanine transaminase and aspartate aminotransferase levels. Metabolomics and RT-qPCR analysis confirmed its ability in ameliorating TP-disrupted hepatic fatty acid beta oxidation. Genome annotation of L. reuteri showed its ability to modulate energy metabolism. Targeted metabolomics demonstrated that L. reuteri DSM 17938 modified the short fatty acid profiles in cecum, especially enhancing propionate levels. Further experiments found that L. reuteri DSM 17938 can activate AMPK signaling by upregulating gut microbiota-derived propionate level, thus restoring impaired mitochondrial biogenesis and energy supply processes to recover energy homeostasis, which leads to diminished ROS production and oxidative stress injury in hepatocytes. Besides, AMPK inhibitor dorsomorphin abolished all the effects on propionate protecting mitochondria and energy metabolism. This study established probiotic therapy of L. reuteri DSM 17938 as a preventive intervention for DILI in clinical. We also revealed that L. reuteri DSM 17938 can activate AMPK signaling by propionate, facilitating a deeper understanding of the action mechanism of L. reuteri DSM 17938 against acute liver injury and contributing to the development of its postbiotics and wider *** AbstractMechanism illustration of Limosilactobacillus reuteri DSM 17938 alleviating TP-induced liver injury by enhancing AMPK signaling pathway via propionate (Created with Biorender. com).
Background and aimsHuman activities have increased the input of nitrogen (N) and phosphorus (P) into terrestrial ecosystems since the industrial revolution. These activities are expected to increase aboveground biomas...
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Background and aimsHuman activities have increased the input of nitrogen (N) and phosphorus (P) into terrestrial ecosystems since the industrial revolution. These activities are expected to increase aboveground biomass (AGB) and further affect plants and soil microbial communities. Plant-microbe interactions play a significant role in shaping microbial communities. However, how soil microbial community respond to change in plant communities after N and P addition remains unclear, particularly in temperate steppe *** 12-year factorial combination experiment of N and P addition was conducted in a temperate steppe ecosystem to evaluate soil microbiomes in relation to plant communities and soil ***-term N addition shifted the dominance of plant community from multiple species to sole dominance by Leymus chinensis. N addition did not significantly affect microbial alpha-diversity. However, P addition led to significantly increased bacterial richness, while NP addition led to significantly decreased arbuscular mycorrhizal fungal richness. Structural equation modeling indicated that available phosphorous (AP) significantly affected bacterial richness, while AP, dissolved inorganic nitrogen (DIN), and AGB significantly influenced arbuscular mycorrhizal fungal richness. Nutrient addition also significantly altered soil microbial community structures that can largely be explained by AGB and plant community compositions. Finally, network analysis revealed strong correlations between plant functional groups and dominant microbial *** communities can be influenced by both N and P addition-induced changes in soil properties and plant communities. The significant associations between plant functional groups and dominant microbial taxa emphasize the important roles of plant-mediated effects on microbial communities after N and P addition.
This brief investigates the consensus problem in fractional-order multi-agent systems (MASs) modeling partial differential equations-ordinary differential equations (PDE-ODEs) by boundary control with directed topolog...
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This brief investigates the consensus problem in fractional-order multi-agent systems (MASs) modeling partial differential equations-ordinary differential equations (PDE-ODEs) by boundary control with directed topology. Boundary controllers reduce control costs, especially when deploying actuators in the entire spatial domain is impractical. As a result, actuators are positioned exclusively at spatial boundary locations in the boundary control method. Moreover, by applying the Mittage-Leffler function and some fractional-order inequalities, sufficient conditions for fractional-order MASs to reach consensus are obtained through LMI. Finally, a numerical simulation example illustrates the validity of the presented theory.
Physical exercise is known to slow synaptic neurodegeneration and cognitive aging in Alzheimer's disease (AD). The benefits of physical exercise are related to reduced amyloid beta (A beta) deposition and increase...
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Physical exercise is known to slow synaptic neurodegeneration and cognitive aging in Alzheimer's disease (AD). The benefits of physical exercise are related to reduced amyloid beta (A beta) deposition and increased synaptic plasticity. Yet little is known about the mechanisms that mediate these effects. Here, we show that physical exercise down-regulated the microglial Tmem9 protein, inhibited C1q activation, and decreased C1q-dependent microglial synapse engulfment, eventually ameliorating cognitive impairment in 5xFAD mice. Furthermore, using oA beta cultured-BV2 in vitro, we show that downregulation of microglial Tmem9 was sufficient to restrain complement activity and decrease microglia-mediated synaptic loss, whereas overexpression of microglial Tmem9 tended to promote complement activation and induced synaptic loss, abolishing exercise-associated protection. Finally, we show that microglial Tmem9 contributed to complement activation by regulating ATP6V0D1, a vesicular (H+) ATP-dependent proton pump (V-ATPase) subunit that regulates V-ATPase assembly. Together, our results demonstrate that exercise is a potential treatment for AD patients. In an AD mouse model, it decreased the levels of microglial Tmem9 to inhibit the activation of complement, alleviated complement-dependent synaptic loss, and eventually ameliorated emotional and cognitive disorders.
The initial stresses widely exist in elastic *** achieving a continuum stress-free configuration through compatible unloading is desirable,mechanical unloading alone frequently proves insufficient,posing challenges in...
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The initial stresses widely exist in elastic *** achieving a continuum stress-free configuration through compatible unloading is desirable,mechanical unloading alone frequently proves insufficient,posing challenges in avoiding virtual stress-free *** this paper,we introduce a novel concept of equivalent temperature variation to counteract the incompatible initial *** focus is on initially stressed cylindrical and spherical elastomers,where we first derive the Saint-Venant,Beltrami-Michell,and Volterra integral conditions in orthogonal curvilinear coordinates using the exterior differential form *** is shown that for any given axially or spherically distributed initial stress,an equivalent temperature variation always ***,we propose two innovative initial stress forms based on the steady-state heat *** introducing an equivalent temperature variation,the initial stress can be released through a compatible thermo-mechanical unloading process,offering valuable insights into the constitutive theory of initially stressed elastic materials.
In recent years, deep learning models have been extensively researched and applied in fault diagnosis. However, they often require substantial storage resources, posing challenges for deployment on embedded devices. A...
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In recent years, deep learning models have been extensively researched and applied in fault diagnosis. However, they often require substantial storage resources, posing challenges for deployment on embedded devices. A prevalent solution to this is leveraging knowledge distillation (KD) between teacher-student models. Through the distillation process, the student model can acquire knowledge from the teacher model without introducing additional parameters, thereby enhancing its performance. Nevertheless, when utilizing a powerful teacher model, the distillation performance is not always optimal. This is attributed to the teacher model's significantly higher complexity compared to the student model, potentially leading to a diminished simulation effect by the student model. To address this issue, the variable-temperature gradient TOP-K KD (VTGTK-KD) method is proposed, which employs multiple pruned, medium-sized teacher models to facilitate a gradual distillation learning process. Furthermore, these models share the same architecture, fostering better knowledge transfer conditions at the logical layer. To further elevate distillation performance, VT distillation is introduced to ensure a balance between distillation speed and accuracy. Additionally, the Gradient TOP-K algorithm is utilized to eliminate erroneous knowledge from the teacher network. Ultimately, classification experiments were conducted on two bearing datasets. The experimental results demonstrate that the proposed VTGTK-KD method enhances distillation performance, surpassing other advanced KD approaches.
The pathogenesis of chronic thromboembolic pulmonary hypertension may be multifactorial and requires further studies. We explored alterations in pulmonary artery endothelial cells under the hypoxic and elevated interl...
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The pathogenesis of chronic thromboembolic pulmonary hypertension may be multifactorial and requires further studies. We explored alterations in pulmonary artery endothelial cells under the hypoxic and elevated interleukin-17 conditions that are commonly present in patients with chronic thromboembolic pulmonary hypertension. We measured the serum interleukin-17 levels in 10 chronic thromboembolic pulmonary hypertension patients and 10 healthy control persons. The expressions and localisations of hypoxia-inducible factor-1 alpha and endothelial nitric oxide synthase were detected in tissues. The levels of hypoxia-inducible factor-1 alpha, endothelial nitric oxide synthase, nitric oxide, and reactive oxygen species in cultured pulmonary artery endothelial cells were examined under hypoxia and/or interleukin-17 treatment. The serum interleukin-17 level was increased in chronic thromboembolic pulmonary hypertension patients. Hypoxia-inducible factor-1 alpha was increased, and endothelial nitric oxide synthase was decreased in chronic thromboembolic pulmonary hypertension pulmonary vascular tissue. After receiving the hypoxia combined with interleukin-17 treatment, pulmonary artery endothelial cells showed increased levels of hypoxia-inducible factor-1 alpha and phospho-endothelial nitric oxide synthase (Thr495) (p = 0.001 and 0.063, respectively) and a decreased level of endothelial nitric oxide synthase (p < 0.001). In addition, the nitric oxide level was significantly decreased (p = 0.001), whereas the reactive oxygen species level was insignificantly increased in pulmonary artery endothelial cells. Chronic thromboembolic pulmonary hypertension patients might experience increased inflammation and hypoxia due to dysregulation of the hypoxia-inducible factor-1 alpha/endothelial nitric synthase pathway in pulmonary artery endothelial cells under inflammation and hypoxia, contributing to the pathogenesis of chronic thromboembolic pulmonary hypertension.
Cells are specialized to perform diverse functions to support the development and homeostasis of a multicellular ***-cell contact can mediate important communications between cells to coordinate cellular activities,wh...
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Cells are specialized to perform diverse functions to support the development and homeostasis of a multicellular ***-cell contact can mediate important communications between cells to coordinate cellular activities,which are essential in multiple biological processes to maintain tissue structure and function(Armingol et al.,2021).In vivo cell-cell contact remains largely ***,Zhang et al.(2022)report a comprehensive toolbox to label ongoing cell-cell contact or to trace the historical cell-cell contact in vivo.
In this letter, we carry out the performance analysis of the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) in the hybrid automatic repeat request (HARQ) assisted cognitive no...
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In this letter, we carry out the performance analysis of the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) in the hybrid automatic repeat request (HARQ) assisted cognitive non-orthogonal multiple access (NOMA) networks, where a security-required user (SRU) with secure transmission requirements is paired with a quality of service (QoS)-sensitive user (QSU) with low delay requirements to perform NOMA. To characterize the performance of secure transmission, we derive the analytical expressions for connection outage probability (COP), average number of transmission (ANT) and secrecy outage probability (SOP) for the SRU in randomized retransmission NOMA (RR-NOMA) scheme, while a cognitive power allocation scheme is developed to meet QSU's QoS requirement. To obtain deeper insights, the asymptotic expressions of COP and SOP are also derived. Furthermore, some significant results are drawn from simulations: 1) There exist a balance between COP and ANT, COP and SOP, which are denoted by the security-reliability balance (SRB) and reliability-delay balance (RDB), respectively. 2) HARQ is benefit to improve the RDB and SRB performance of SRU. 3) The increase in the number of STAR-RIS elements ${K}$ improves the system reliability performance, while the secrecy performance deteriorates.
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