Comparison of chemical composition between imitation wild and transplanted Astragali Radix and their therapeutic effects on heart failure.

ETHNOPHARMACOLOGICAL RELEVANCE: Astragali Radix (AR) is a traditional Chinese herbal medicine, which has been widely used on treating chronic heart failure (CHF) in clinical practice. Two main types of AR in the market are the imitation wild AR (5YAR) and transplanted AR (2YAR). It remains unclear whether there are variations in the anti-heart failure effects of AR with different growth years. Further research is required to explore the material composition and mechanisms of AR in combating heart failure. AIM OF THE STUDY: The aim of the study was to compare the main chemical composition content and the protective effects of 2YAR and 5YAR on heart failure. MATERIALS AND METHODS: Ethanol extracts of 2YAR and 5YAR were prepared, and chemical composition analysis was conducted. C57BL/6 mice were subcutaneously injected with ISO to induce heart failure (HF) and were administrated with a corresponding dose of the extracts of 2YAR and 5YAR by gavage for 28 days. Cardiac function was evaluated using echocardiography. The serum levels of enzymes related to myocardial injury, oxidative stress, and inflammation were detected. The left ventricle was excised for hematoxylin-eosin, Masson, Sirius Red, wheat germ agglutinin, and TUNEL staining. Electron microscopy examination of mitochondrial structure in myocardial cells. Protein expression of monocarboxylate transporter 4 (MCT4), Peroxisome proliferator-activated receptor-γ coactivator 1α (PGC-1α), phosphorylated AMP-activated protein kinase (p-AMPK), phosphorylated serine/threonine protein kinase (p-AKT), and phosphorylated insulin receptor substrates 1 (p-IRS-1) were detected by immunohistochemistry and Western blot. RESULTS: The content of saponins and flavonoids in 5YAR was higher than that in the 2YAR. However, the content of polysaccharides in 5YAR is lower than in 2YAR. The treatment of 2YAR and 5YAR daily for 28 days prevented ISO-induced myocardial damage, including the decrease in serum cardiac enzymes and cardiomyocyte apoptotic index, and improvement in heart function and mitochondrial structure. Additionally, 2YAR and 5YAR reduced serum inflammatory factors and myocardial fibrosis levels. Treatment with 2YAR and 5YAR also decreased MCT4 expression and enhanced PGC-1α, p-AKT, p-AMPK, and p-IRS-1 expression in heart tissues. CONCLUSIONS: The 5YAR was better than 2YAR in anti-heart failure, which may be related to the increase in saponins and flavonoids content. AR exerts anti-heart failure effect by improving mitochondrial function and ameliorating cardiac insulin resistance through activation of the AMPK/PGC1α and IRS/AKT pathways.

Fenitrothion induces glucose metabolism disorders in rat liver BRL cells by inhibiting AMPKα and IRS1/PI3K/AKT signaling pathway.

Fenitrothion (FNT) is a common organophosphorus pesticide that is widely used in both agricultural and domestic pest control. FNT has been frequently detected in various environmental media, including the human body, and is a notable contaminant. Epidemiological investigations have recently shown the implications of exposure to FNT in the incidence of various metabolic diseases, such as diabetes mellitus in humans, indicating that FNT may be a potential endocrine disruptor. However, the effects of FNT exposure on glucose homeostasis and their underlying mechanisms in model organisms remain largely unknown, which may limit our understanding of the health risks of FNT. In this study, FNT (4 5, 90, 180, and 4 50 µM) exposure model of rat hepatocytes (Buffalo Rat Liver, BRL cells) was established to investigate the effects and potential mechanisms of its toxicity on glucose metabolism. Several key processes of glucose metabolism were detected in this study. The results showed significantly increased glucose levels in the culture medium and decreased glycogen content in the FNT-exposed BRL cells. The results of quantitative real-time PCR and enzymology showed the abnormal expression of genes and activity/content of glucose metabolic enzymes involved in glucose metabolism, which might promote gluconeogenesis and inhibit glucose uptake, glycolysis, and glycogenesis. Furthermore, gluconeogenesis and glycolytic were carried out in the mitochondrial membrane. The abnormal of mitochondrial membrane potential may be a potential mechanism underlying FNT-induced glucose metabolism disorder. In addition, the mRNA and protein expression implicated that FNT may disrupt glucose metabolism by inhibiting the AMPKα and IRS1/PI3K/AKT signaling pathways. In conclusion, results provide in vitro evidence that FNT can cause glucose metabolism disorder, which emphasizes the potential health risks of exposure to FNT in inducing diabetes mellitus.

Danggui Shaoyao San Alleviates Early Cognitive Impairment in Alzheimer's Disease Mice Through IRS1/GSK3ß/Wnt3a-ß-Catenin Pathway.

INTRODUCTION: Alzheimer's disease (AD) is a neurodegenerative disease characterized by Amyloid plaques and neurofibrillary tangles. We explored the potential mechanism by which Danggui Shaoyao San (DSS) modulates central glucose metabolism via the insulin receptor substrate 1 (IRS1)/glycogen synthase kinase-3ß (GSK3ß)/Wnt3a-ß-catenin pathway, thereby exerting protective effects on cognitive functions. METHODS: In vitro, HT22 cells were induced with streptozotocin (STZ) to investigate the impact of GSK3ß on pathway transduction. The active components in the DSS stock solution were validated using mass spectrometry. Subsequently, an AD model in C57BL/6J mice was established through STZ injection into both ventricles. The success of the model was validated behaviorally and pathologically. The Morris Water Maze (MWM) test, immunohistochemistry, Western blotting, quantitative reverse transcription-PCR, and 18F-fluorodeoxyglucose-positron emission tomography (FDG-PET) were employed to evaluate the influence of DSS on memory and pathological changes in AD. RESULTS: The DSS stock solution, rich in active components, ameliorated the memory deficits in AD mice in the MWM. In vitro, GSK3ß exhibited regulatory control over Wnt and ß-catenin, with GSK3ß inhibition mitigating ß-amyloid and tau redundancies at protein and gene levels, facilitating signal transduction. In vivo, DSS impacted key targets in the IRS1/GSK3ß/Wnt3a-ß-catenin pathway, mitigated senile plaques resulting from amyloid ß (Aß) deposition and neurofiber tangles induced by tau hyperphosphorylation, and alleviated the decline in central glucose metabolism observed in FDG-PET. CONCLUSIONS: Our findings suggest that DSS potentially confers cognitive protection by alleviating central hypoglycemia through the IRS1/GSK3ß/Wnt3a-ß-catenin pathway. This may serve as a promising therapeutic avenue for AD.

Insulin receptor substrate 1 is a novel member of EGFR signaling in pancreatic cells.

Pancreatic ductal adenocarcinoma is an extremely incurable cancer type characterized by cells with highly proliferative capacity and resistance against the current therapeutic options. Our study reveals that IRS1 acts as a bridging molecule between EGFR and IGFR/InsR signalization providing a potential mechanism for the interplay between signaling pathways and bypassing EGFR-targeted or IGFR/InsR-targeted therapies. The analysis of IRS1 phosphorylation status in four pancreatic cell lines identified the impact of EGFR signaling on IRS1 activation in comparison with InsR/IGFR signaling. Significantly reduced viability was observed in IRS1-silenced cells even upon EGF stimulation showing the critical role of IRS1 in the EGFR signaling network in both malignant and normal pancreatic cells. This study also demonstrated that EGFR binds directly to IRS1 and at least on two tyrosine sites, Y612 and Y896, IRS1 becomes phosphorylated in response to EGF stimulation. Mechanistically, the EGFR-mediated phosphorylation of IRS1 can further activate the MAPK signaling pathway with the recruitment of GRB2 protein. Collectively, in this study, IRS1 was identified as a crucial regulator in the EGFR signaling suggesting IRS1 as a potential target for more durable responses to targeted PDAC therapy.

Fluorescent tagging of endogenous IRS2 with an auxin-dependent degron to assess dynamic intracellular localization and function.

Insulin Receptor Substrate 2 (IRS2) is a signaling adaptor protein for the insulin (IR) and Insulin-like Growth Factor-1 (IGF-1R) receptors. In breast cancer, IRS2 contributes to both initiation of primary tumor growth and establishment of secondary metastases through regulation of cancer stem cell (CSC) function and invasion. However, how IRS2 mediates its diverse functions is not well understood. We used CRISPR/Cas9-mediated gene editing to modify endogenous IRS2 to study the expression, localization, and function of this adaptor protein. A cassette containing an auxin inducible degradation (AID) sequence, 3X-FLAG tag and mNeon-green was introduced at the N-terminus of the IRS2 gene to provide rapid and reversible control of IRS2 protein degradation and analysis of endogenous IRS2 expression and localization. Live fluorescence imaging of these cells revealed that IRS2 shuttles between the cytoplasm and nucleus in response to growth regulatory signals in a PI3K-dependent manner. Inhibition of nuclear export or deletion of a putative nuclear export sequence in the C-terminal tail promotes nuclear retention of IRS2, implicating nuclear export in the mechanism by which IRS2 intracellular localization is regulated. Moreover, the acute induction of IRS2 degradation reduces tumor cell invasion, demonstrating the potential for therapeutic targeting of this adaptor protein. Our data highlight the value of our model of endogenously tagged IRS2 as a tool to study IRS2 localization and function.

Hesperidin activates the GLP-1R/cAMP-CREB/IRS2/PDX1 pathway to promote transdifferentiation of islet α cells into ß cells Across the spectrum.

Background and aims: In all age, FoShou as a Chinese medicinal herb has been active in various kinds of Traditional Chinese medicine formula to treating diabetes. Hesperidin (HES), the main monomeric component of FoShou, has been extensively investigated for interventions with pathogenic mechanism of diabetes as well as subsequent treatment of associated complications. Islet ß-cells have an essential effect on dynamically regulating blood sugar. Functional abnormalities in these cells and their death are strongly associated with the onset of diabetes. Therefore, induction of islet endocrine cell lineage re-editing for damaged ßcell replenishment would be a promising therapeutic tool. Previously, it has been found that HES can protect islet ß-cells in vivo, But, the regenerative function of HES in islet ß cells and its role in promoting differential non-ß cells transdifferentiation into ß cells and cell fate rewriting associated mechanisms remain unclear.This work focused on investigating whether HES can induce islet α cells transdifferentiation into ß cells for achieving damaged ß cell regeneration and the causes and possible mechanisms involved in the process. Materials and methods: In brief, 60 mg/kg/d streptozotocin (STZ) was administered intraperitoneally in each male C57bL/6J mouse raised by the high-sugar and high-fat diet (HFD) to create a diabetic mouse model with severe ß-cell damage. After 28 consecutive days of HES treatment (160 mg/kg; 320 mg/kg; once daily, as appropriate). Tracing the dynamics of α as well as ß cell transformation, together with ß cells growth and apoptosis levels during treatment by cell lineage tracing. The self-enforcing transcriptional network on which the cell lineage is based is used as a clue to explore the underlying mechanisms. Guangdong Pharmaceutical University's Animal Experiment Ethics Committee (GDPulac2019180) approved all animal experiments. Results: Localization by cell lineage we find that transdifferentiated newborn ß-cells derived from α cells appeared in the islet endocrine cell mass of DM mice under HES'action. Compared to the model group, expressed by Tunel staining and CXCL10 levels the overall apoptosis rate of ß-cells of the pancreas were reduced,the inflammatory infiltration feedback from HE staining were lower.Ki-67 positive cells showed enhanced ß-cell proliferation. Decreased HbA1c and blood glucose contents, elevated C-Peptide and insulin contents which respond to ability of nascent beta cells. Also upregulated the mRNA levels of MafA, Ngn3, PDX-1, Pax4 and Arx. Moreover, increased the expression of TGR5/cAMP-CREB/GLP-1 in mouse intestinal tissues and GLP-1/GLP-1R and cAMP-CREB/IRS2/PDX-1 in pancreatic tissues. Conclusions: HES directly affects ß-cells, apart from being anti-apoptotic and reducing inflammatory infiltration. HES promotes GLP-1 release by intestinal L cells by activating the TGR5 receptor in DM mouse and regulating its response element CREB signaling. GLP-1 then uses the GLP-1/GLP-1R system to act on IRS2, IRS2 as a port to influence α precursor cells to express PDX-1, with the mobilization of Pax4 strong expression than Arx so that α cell lineage is finally reversed for achieving ß cell endogenous proliferation.

Identification and molecular mechanism of novel hypoglycemic peptide in ripened pu-erh tea: Molecular docking, dynamic simulation, and cell experiments.

Ripened pu-erh tea is known to have beneficial hypoglycemic properties. However, it remains unclear whether the bioactive peptides produced during fermentation are also related to hypoglycemic potential. This study aimed to identify hypoglycemic peptides in ripened pu-erh tea and to elucidate their bioactive mechanisms using physicochemical property prediction, molecular docking, molecular dynamics simulations, and cell experiments. Thirteen peptides were identified by liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS). Among them, AADTDYRFS (AS-9) and AGDGTPYVR (AR-9) exhibited high α-glucosidase inhibitory activity, with half-maximal inhibitory concentration (IC50) values of 0.820 and 3.942 mg/mL, respectively. Molecular docking and dynamics simulations revealed that hydrogen bonding, hydrophobic interactions, and van der Waals forces assist peptides AS-9 and AR-9 in forming stable and tight complexes with α-glucosidase. An insulin-resistance (IR)-HepG2 cell model was established. AS-9 was non-toxic to IR-HepG2 cells and significantly increased the glucose consumption capacity, hexokinase, and pyruvate kinase activities of IR-HepG2 cells (p < 0.05). AS-9 alleviated glucose metabolism disorders and ameliorated IR by activating the IRS-1/PI3K/Akt signaling pathway and increasing the expression levels of MDM2, IRS-1, Akt, PI3K, GLUT4, and GSK3ß genes. In addition, no hemolysis of mice red blood cells red blood cells occurred at concentrations below 1 mg/mL. This work first explored hypoglycemic peptides in ripened pu-erh tea, providing novel insights for enhancing its functional value.

Study on the Mechanism of GABA-Rich Adzuki Bean Regulating Blood Glucose Based on the IRS/PI3K/AKT Pathway.

The adzuki bean is a mature seed of the red bean leguminous plant, and people like to eat it because of its nutritious properties and moderate proportion of amino acids. Adzuki bean germination and the enrichment of GABA greatly improve the health effects of the adzuki bean. The effects of the GABA-rich adzuki bean on the expression of insulin-pathway-related genes and proteins in the liver of T2DM mice were studied via Western blotting and qPCR. The results showed that a GABA-rich adzuki bean diet could promote glycogen synthesis in the liver of T2DM mice, inhibit the activities of PEPCK and G-6-Pase, and significantly down-regulate the gene expression levels of PEPCK, G6PC and FOXO1 (p < 0.05) and the phosphorylation levels of FOXO1 and GSK3ß. In addition, it can also up-regulate the expression of the AMPKα gene and down-regulate the expression of the SREBP1c gene to inhibit the synthesis of triglycerides and cholesterol in T2DM mice. Lipid accumulation in mice can alleviate glucose and lipid metabolism disorders and play an effective role in regulating blood glucose at liver tissue targets. This study suggested that the GABA-rich adzuki bean can improve hyperglycemia in type 2 diabetic mice by activating the IRS/PI3K/AKT signaling pathway in the liver.

Energy Minimization for IRS-Assisted SWIPT-MEC System.

With the rapid development of the internet of things (IoT) era, IoT devices may face limitations in battery capacity and computational capability. Simultaneous wireless information and power transfer (SWIPT) and mobile edge computing (MEC) have emerged as promising technologies to address these challenges. Due to wireless channel fading and susceptibility to obstacles, this paper introduces intelligent reflecting surfaces (IRS) to enhance the spectral and energy efficiency of wireless networks. We propose a system model for IRS-assisted uplink offloading computation, downlink offloading computation results, and simultaneous energy transfer. Considering constraints such as IRS phase shifts, latency, energy harvesting, and offloading transmit power, we jointly optimize the CPU frequency of IoT devices, offloading transmit power, local computation workload, power splitting (PS) ratio, and IRS phase shifts. This establishes a multi-variate coupled nonlinear problem aimed at minimizing IoT devices energy consumption. We design an effective alternating optimization (AO) iterative algorithm based on block coordinate descent, and utilize closed-form solutions, Dinkelbach-based Lagrange dual method, and semidefinite relaxation (SDR) method to minimize IoT devices energy consumption. Simulation results demonstrate that the proposed scheme achieves lower energy consumption compared to other resource allocation strategies.

HMGA1 Regulates IRS2 to Promote Inflammatory Responses and Oxidative Stress Injury in MPP+-Induced cells.

Parkinson's disease (PD) is a prevalent neurodegenerative disorder for which novel treatment approaches are continuously sought. This study investigates the role of high-mobility group A1 (HMGA1) in modulating inflammatory responses and oxidative stress injury in PD. We utilized the murine dopaminergic neuronal cell line MN9D, treating cells with 1-methyl-4-phenylpyridinium ion (MPP+) to mimic PD conditions. The expression levels of HMGA1 and insulin receptor substrate 2 (IRS2) were measured using quantitative polymerase chain reaction and Western blot assay. Cell damage was assessed with cell counting kit-8 and lactate dehydrogenase assays. Inflammatory response and oxidative stress were evaluated by quantifying interleukin (IL)-1ß, IL-6, tumor necrosis factor-α, reactive oxygen species, superoxide dismutase, and malondialdehyde (MDA) levels using enzyme-linked immunosorbent assay and commercial kits. The binding interaction between HMGA1 and IRS2 was analyzed using chromatin immunoprecipitation (ChIP) and dual-luciferase reporter assays. Our findings revealed that MPP+ treatment increased the expression of HMGA1 and IRS2. Downregulation of HMGA1 enhanced cell viability, reduced inflammation, and mitigated oxidative stress in MPP+-induced cells. Further investigation demonstrated that HMGA1 bounded to the IRS2 promoter, enhancing IRS2 expression. Overexpression of IRS2 counteracted the protective effects of HMGA1 downregulation. In conclusion, HMGA1 exacerbates MPP+-induced cell damage by activating IRS2 transcription, which in turn heightens inflammation and oxidative stress. These findings suggest that targeting HMGA1 could be a potential therapeutic strategy for PD.

Schisandra chinensis lignans improve insulin resistance by targeting TLR4 and activating IRS-1/PI3K/AKT and NF-κB signaling pathways.

Schisandra chinensis, a traditional Chinese medicine, has been widely applied in China to treat diabetes and its complications. The aim of this study was to discover the active compounds and explain related molecular mechanism contributing to the anti-diabetic effect of Schisandra chinensis. Herein, the therapeutic effects of Schisandra chinensis extracts on type 2 diabetes mellitus (T2DM) were firstly confirmed in vivo. Subsequently, various lignans were isolated from Schisandra chinensis and tested for hypoglycemic activity in palmitic acid-induced insulin-resistant HepG2 (IR-HepG2) cells. Among these lignans, R-biar-(7S,8R)-6,7,8,9-tetrahydro-1,2,3,12,13,14-hexamethoxy-7,8-dimethyl-7-dibenzo [a, c] cyclooctenol (compound 2) and Gomisin A (compound 4) were identified significantly increased the glucose consumption in IR-HepG2 cells. Meanwhile, compounds 2 and 4 activated the insulin receptor substrate-1 (IRS-1)/phosphoinositide 3-kinase (PI3K)/Ak strain transforming (AKT) pathway, which regulates glucose transporter 2 (GLUT2) and glucose-6-phosphatase (G6Pase), essential for gluconeogenesis and glucose uptake. These compounds also inhibited the nuclear factor-κB (NF-κB) signaling pathway, reducing interleukin-6 (IL-6) levels. Importantly, the hypoglycemic effects of compounds 2 and 4 were diminished after Toll-like receptor 4 (TLR4) knockdown. Cellular thermal shift assays confirmed increased TLR4 protein stability upon treatment with these compounds, indicating direct binding to TLR4. Furthermore, TLR4 knockdown reversed the effects of compounds 2 and 4 on the NF-κB and IRS-1/PI3K/AKT pathways. Taken together, compounds 2 and 4 alleviate IR by targeting TLR4, thereby modulating the NF-κB and IRS-1/PI3K/AKT pathways. These findings suggest that compounds 2 and 4 could be developed as therapeutic agents for T2DM.

The improvement of modified Si-Miao granule on hepatic insulin resistance and glycogen synthesis in type 2 diabetes mellitus involves the inhibition of TNF-α/JNK1/IRS-2 pathway: network pharmacology, molecular docking, and experimental validation.

BACKGROUND: Modified Si-Miao granule (mSMG), a traditional Chinese medicine, is beneficial for T2DM and insulin resistance (IR), but the underlying mechanism remains unknown. METHODS: Using network pharmacology, we screened the compounds of mSMG and identified its targets and pathway on hepatic IR in T2DM. Using molecular docking, we identified the affinity between the compounds and hub target TNF-α. Then these were verified in KK-Ay mice and HepG2 cells. RESULTS: 50 compounds and 170 targets of mSMG against IR in T2DM were screened, and 9 hub targets such as TNF and MAPK8 were identified. 170 targets were mainly enriched in insulin resistance and TNF pathway, so we speculated that mSMG might act on TNF-α, JNK1 and then regulate insulin signaling to mitigate IR. Experimental validation proved that mSMG ameliorated hyperglycemia, IR, and TNF-α, enhanced glucose consumption and glycogen synthesis, relieved the phosphorylation of JNK1 and IRS-2 (Ser388), and elevated the phosphorylation of Akt (Ser473) and GSK-3ß (Ser9) and GLUT2 expression in KK-Ay mice. Molecular docking further showed berberine from mSMG had excellent binding capacity with TNF-α. Then, in vitro validation experiments, we found that 20% mSMG-MS or 50 µM berberine had little effect in IR-HepG2 cell viability, but significantly increased glucose consumption and glycogen synthesis and regulated TNF-α/JNK1/IRS-2 pathway. CONCLUSION: Network pharmacology and molecular docking help us predict potential mechanism of mSMG and further guide experimental validation. mSMG and its representative compound berberine improve hepatic IR and glycogen synthesis, and its mechanism may be related to the inhibition of TNF-α/JNK1/IRS-2 pathway.

DGD-CNet: Denoising Gated Recurrent Unit with a Dropout-Based CSI Network for IRS-Aided Massive MIMO Systems.

For the deployment of Sixth Generation (6G) networks, integrating Massive Multiple-Input Multiple-Output (Massive MIMO) systems with Intelligent Reflecting Surfaces (IRS) is highly recommended due to its significant benefits in reducing communication losses for Non-Line-of-Sight (NLoS) conditions. However, the use of passive IRS presents challenges in channel estimation, mainly due to the significant feedback overhead required in Frequency Division Duplex (FDD)-based Massive MIMO systems. To address these challenges, this paper introduces a novel Denoising Gated Recurrent Unit with a Dropout-based Channel state information Network (DGD-CNet). The proposed DGD-CNet model is specifically designed for FDD-based IRS-aided Massive MIMO systems, aiming to reduce the feedback overhead while improving the channel estimation accuracy. By leveraging the Dropout (DO) technique with the Gated Recurrent Unit (GRU), the DGD-CNet model enhances the channel estimation accuracy and effectively captures both spatial structures and time correlation in time-varying channels. The results show that the proposed DGD-CNet model outperformed existing models in the literature, achieving at least a 26% improvement in Normalized Mean Square Error (NMSE), a 2% increase in correlation coefficient, and a 4% in system accuracy under Low-Compression Ratio (Low-CR) in indoor situations. Additionally, the proposed model demonstrates effectiveness across different CRs and in outdoor scenarios.

Improving the safety of radiotherapy treatment processes via incident-driven FMEA feedback loops.

BACKGROUND: Failure mode and effects analysis (FMEA) is a valuable tool for radiotherapy risk assessment, yet its outputs might be unreliable due to failures not being identified or due to a lack of accurate error rates. PURPOSE: A novel incident reporting system (IRS) linked to an FMEA database was tested and evaluated. The study investigated whether the system was suitable for validating a previously performed analysis and whether it could provide accurate error rates to support the expert occurrence ratings of previously identified failure modes. METHODS: Twenty-three pre-identified failure modes of our external beam radiotherapy process, covering the process steps from patient admission to treatment delivery, were proffered on dedicated FMEA feedback and incident reporting terminals generated by the IRS. The clinical setting involved a computed tomography scanner, dosimetry, and five linacs. Incoming reports were used as basis to identify additional failure modes or confirm initial ones. The Kruskal-Wallis H test was applied to compare the risk priorities of the retrospective and prospective failure modes. Wald's sequential probability ratio test was used to investigate the correctness of the experts' occurrence ratings by means of the number of incoming reports. RESULTS: Over a 15-month period, 304 reports were submitted. There were 0.005 (confidence interval [CI], 0.0014-0.0082) reported incidents per imaging study and 0.0006 (CI, 0.0003-0.0009) reported incidents per treatment fraction. Sixteen additional failure modes could be identified, and their risk priorities did not differ from those of the initial failure modes (p = 0.954). One failure mode occurrence rating could be increased, whereas the other 22 occurrence ratings could not be disproved. CONCLUSIONS: Our approach is suitable for validating FMEAs and deducing additional failure modes on a continual basis. Accurate error rates can only be provided if a sufficient number of reports is available.

Trajectory optimization of UAV-IRS assisted 6G THz network using deep reinforcement learning approach.

Terahertz (THz) wireless communication is a promising technology that will enable ultra-high data rates, and very low latency for future wireless communications. Intelligent Reconfigurable Surfaces (IRS) aiding Unmanned Aerial Vehicle (UAV) are two essential technologies that play a pivotal role in balancing the demands of Sixth-Generation (6G) wireless networks. In practical scenarios, mission completion time and energy consumption serve as crucial benchmarks for assessing the efficiency of UAV-IRS enabled THz communication. Achieving swift mission completion requires UAV-IRS to fly at maximum speed above the ground users it serves. However, this results in higher energy consumption. To address the challenge, this paper studies UAV-IRS trajectory planning problems in THz networks. The problem is formulated as an optimization problem aiming to minimize UAVs-IRS mission completion time by optimizing the UAV-IRS trajectory, considering the energy consumption constraint for UAVs-IRS. The proposed optimization algorithm, with low complexity, is well-suited for applications in THz communication networks. This problem is a non-convex, optimization problem that is NP-hard and presents challenges for conventional optimization techniques. To overcome this, we proposed a Deep Q-Network (DQN) reinforcement learning algorithm to enhance performance. Simulation results show that our proposed algorithm achieves performance compared to benchmark schemes.

Immune activation and immune-associated neurotoxicity in Long-COVID: A systematic review and meta-analysis of 103 studies comprising 58 cytokines/chemokines/growth factors.

BACKGROUND: Multiple studies have shown that Long COVID (LC) disease is associated with heightened immune activation, as evidenced by elevated levels of inflammatory mediators. However, there is no comprehensive meta-analysis focusing on activation of the immune inflammatory response system (IRS) and the compensatory immunoregulatory system (CIRS) along with other immune phenotypes in LC patients. OBJECTIVES: This meta-analysis is designed to explore the IRS and CIRS profiles in LC patients, the individual cytokines, chemokines, growth factors, along with C-reactive protein (CRP) and immune-associated neurotoxicity. METHODS: To gather relevant studies for our research, we conducted a thorough search using databases such as PubMed, Google Scholar, and SciFinder, covering all available literature up to July 5th, 2024. RESULTS: The current meta-analysis encompassed 103 studies that examined multiple immune profiles, C-reactive protein, and 58 cytokines/chemokines/growth factors in 5502 LC patients versus 5962 normal controls (NC). LC patients showed significant increases in IRS/CIRS ratio (standardized mean difference (SMD: 0.156, confidence interval (CI): 0.062;0.250), IRS (SMD: 0.338, CI: 0.236;0.440), M1 macrophage (SMD: 0.371, CI: 0.263;0.480), T helper (Th)1 (SMD: 0.316, CI: 0.185;0.446), Th17 (SMD: 0.439, CI: 0.302;0.577) and immune-associated neurotoxicity (SMD: 0.384, CI: 0.271;0.497). In addition, CRP and 21 different cytokines displayed significantly elevated levels in LC patients compared to NC. CONCLUSION: LC disease is characterized by IRS activation and increased immune-associated neurotoxicity.

SFRP4 protein expression is reduced in high grade astrocytomas which is not caused by the methylation of its promoter.

Introduction: Epigenetics play a vital role in stratifying CNS tumors and gliomas. The importance of studying Secreted frizzled-related protein 4 (SFRP4) in gliomas is to improve diffuse glioma methylation profiling. Here we examined the methylation status of SFRP4 promoter and the level of its protein expression in diffuse gliomas WHO grades 2-4. Methods: SFRP4 expression was detected by immunohistochemistry and evaluated semi-quantitatively. In the tumor hot-spot area, the intensity of protein expression in 200 cells was determined using ImageJ (National Institutes of Health, United States). The assessment of immunopositivity was based on the IRS score (Immunoreactivity Score). Promoter methylation was examined by methylation specific-PCR (MSP) in fifty-one diffuse glioma samples and appropriate controls. Isolated DNA was treated with bisulfite conversion and afterwards used for MSP. Public databases (cBioPortal, COSMIC and LOVD) were searched to corroborate the results. Results and discussion: SFRP4 protein expression in glioblastomas was very weak or non-existent in 86.7% of samples, moderate in 13.3%, while strong expression was not observed. The increase in astrocytoma grade resulted in SFRP4 protein decrease (p = 0.008), indicating the loss of its antagonistic role in Wnt signaling. Promoter methylation of SFRP4 gene was found in 16.3% of cases. Astrocytomas grade 2 had significantly more methylated cases compared to grade 3 astrocytomas (p = 0.004) and glioblastomas (p < 0.001), which may indicate temporal niche of methylation in grade 2. Furthermore, the expression levels of SFRP4 were high in samples with methylated SFRP4 promoter and low or missing in unmethylated cases (Pearson's R = -0.413; p = 0.003). We also investigated the association of SFRP4 changes to key Wnt regulators GSK3ß and DKK3 and established a positive correlation between methylations of SFRP4 and GSK3ß (Pearson's R = 0.323; p = 0.03). Furthermore, SFRP4 expression was correlated to unmethylated DKK3 (Chi square = 7.254; p = 0.027) indication that Wnt signaling antagonist is associated to negative regulator's demethylation. Conclusion: The study contributes to the recognition of the significance of epigenetic changes in diffuse glioma indicating that restoring SFRP4 protein holds potential as therapeutic avenue. Reduced expression of SFRP4 in glioblastomas, not following promoter methylation pattern, suggests another mechanism, possible global methylation, that turns off SFRP4 expression in higher grades.

Bta-miR-200a Regulates Milk Fat Biosynthesis by Targeting IRS2 to Inhibit the PI3K/Akt Signal Pathway in Bovine Mammary Epithelial Cells.

Milk fat synthesis has garnered significant attention due to its influence on the quality of milk. Recently, an increasing amount of proofs have elucidated that microRNAs (miRNAs) are important post-transcriptional factor involved in regulating gene expression and play a significant role in milk fat synthesis. MiR-200a was differentially expressed in the mammary gland tissue of dairy cows during different lactation periods, which indicated that miR-200a was a candidate miRNA involved in regulating milk fat synthesis. In our research, we investigated the potential function of miR-200a in regulating milk fat biosynthesis in bovine mammary epithelial cells (BMECs). We discovered that miR-200a inhibited cellular triacylglycerol (TAG) synthesis and suppressed lipid droplet formation; at the same time, miR-200a overexpression suppressed the mRNA and protein expression of milk fat metabolism-related genes, such as fatty acid synthase (FASN), peroxisome proliferator-activated receptor gamma (PPARγ), sterol regulatory element-binding protein 1 (SREBP1), CCAAT enhancer binding protein alpha (CEBPα), etc. However, knocking down miR-200a displayed the opposite results. We uncovered that insulin receptor substrate 2 (IRS2) was a candidate target gene of miR-200a through the bioinformatics online program TargetScan. Subsequently, it was confirmed that miR-200a directly targeted the 3'-untranslated region (3'-UTR) of IRS2 via real-time fluorescence quantitative PCR (RT-qPCR), western blot analysis, and dual-luciferase reporter gene assay. Additionally, IRS2 knockdown in BMECs has similar effects to miR-200a overexpression. Our research set up the mechanism by which miR-200a interacted with IRS2 and discovered that miR-200a targeted IRS2 and modulated the activity of the PI3K/Akt signaling pathway, thereby taking part in regulating milk fat synthesis in BMECs. Our research results provided valuable information on the molecular mechanisms for enhancing milk quality from the view of miRNA-mRNA regulatory networks.

[Mechanism of Yupingfeng Powder on hepatic insulin resistance in type 2 diabetes mellitus rats by regulating IRS/PI3K/Akt pathway].

Based on the insulin receptor substrate(IRS)/phosphoinositide 3-kinase(PI3K)/protein kinase B(Akt) pathway, the intervention effect of Yupingfeng Powder on type 2 diabetes mellitus(T2DM) rats was studied, and the potential mechanism of improving T2DM hepatic insulin resistance was explored. A T2DM rat model was established by feeding with high-fat and high-sugar feed combined with intraperitoneal injection of streptozotocin. Successfully modeled rats were selected and divided into a model group, a positive control group(MET), and a Yupingfeng Powder group. At the same time, a blank group was set up, and corresponding drugs were given by gavage. The model group and blank group were given an equal amount of physiological saline by gavage. During the experiment, body mass and fasting blood glucose were regularly measured, and glucose tolerance and insulin tolerance were measured at the end of the experiment. After the experiment, the levels of blood glucose, insulin, blood lipids, and related liver function indicators were measured; changes in liver pathological damage were observed, levels of liver monoamine oxidase were detected, and qRT-PCR was used to detect mRNA expression levels of IRS/PI3K/Akt pathway related genes. Compared with the model group, the Yupingfeng Powder group had an increase in body weight, a decrease in fasting blood glucose, fasting insulin, and steady-state model evaluation index, a decrease in the area under the curve of glucose tolerance and insulin tolerance tests, a decrease in serum total cholesterol, triglycerides, and low-density lipoprotein cholesterol content, and an increase in high-density lipoprotein cholesterol content. Compared with the model group, the Yupingfeng Powder group showed a decrease in liver monoamine oxidase levels, a decrease in serum aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, and total bilirubin levels, and an increase in total protein and albumin levels. Hematoxylin-eosin(HE) staining showed a reduction in pathological liver cell damage. Compared with the model group, the Yupingfeng Powder group showed a significant increase in the mRNA expression levels of IRS1, PI3K, and Akt in the liver of rats, as well as a significant decrease in the mRNA expression levels of interleukin-6(IL-6) and tumor necrosis factor-α(TNF-α). This indicates that Yupingfeng Powder can regulate the IRS/PI3K/Akt signaling pathway and glucose and lipid metabolism disorders, increase insulin sensitivity, improve hepatic insulin resistance, and thus play a therapeutic role in T2DM.

Exosome-shuttled miR-150-5p from LPS-preconditioned mesenchymal stem cells down-regulate PI3K/Akt/mTOR pathway via Irs1 to enhance M2 macrophage polarization and confer protection against sepsis.

Rationale: Sepsis is a life-threatening organ dysfunction and lack of effective measures in the current. Exosomes from mesenchymal stem cells (MSCs) reported to alleviate inflammation during sepsis, and the preconditioning of MSCs could enhance their paracrine potential. Therefore, this study investigated whether exosomes secreted by lipopolysaccharide (LPS)-pretreated MSCs exert superior antiseptic effects, and explored the underlying molecular mechanisms. Methods: Exosomes were isolated and characterized from the supernatants of MSCs. The therapeutic efficacy of normal exosomes (Exo) and LPS-pretreated exosomes (LPS-Exo) were evaluated in terms of survival rates, inflammatory response, and organ damage in an LPS-induced sepsis model. Macrophages were stimulated with LPS and treated with Exo or LPS-Exo to confirm the results of the in vivo studies, and to explain the potential mechanisms. Results: LPS-Exo were shown to inhibit aberrant pro-inflammatory cytokines, prevent organ damages, and improve survival rates of the septic mice to a greater extent than Exo. In vitro, LPS-Exo significantly promoted the M2 polarization of macrophages exposed to inflammation. miRNA sequencing and qRT-PCR analysis identified the remarkable expression of miR-150-5p in LPS-Exo compared to that in Exo, and exosomal miR-150-5p was transferred into recipient macrophages and mediated macrophage polarization. Further investigation demonstrated that miR-150-5p targets Irs1 in recipient macrophages and subsequently modulates macrophage plasticity by down-regulating the PI3K/Akt/mTOR pathway. Conclusion: The current findings highly suggest that exosomes derived from LPS pre-conditioned MSCs represent a promising cell-free therapeutic method and highlight miR-150-5p as a novel molecular target for regulating immune hyperactivation during sepsis.