CEBPA facilitates LOXL2 and LOXL3 transcription to promote BCL-2 stability and thus enhances the growth and metastasis of lung carcinoma cells in vitro.

Lung carcinoma (LC) is a complicated and highly heterogeneous disease with high morbidity and mortality. Both lysyl oxidase-like (LOXL) 2 and 3 act in cancer progression. This work endeavors to illustrate the influence of LOXL2/LOXL3 on LC progression and the underlying mechanisms. LOXL family genes and CCAAT enhancer binding protein A (CEBPA) were analyzed in the TCGA database for their expression patterns in LC patients and their correlations with the patient's prognosis. CEBPA, LOXL2, and LOXL3 expression levels were determined in LC cells. Gain- and loss-of-function assays were conducted, followed by assays for cell proliferation, epithelial-mesenchymal transition (EMT), apoptosis, invasion, and migration. The binding of CEBPA or B cell lymphoma protein (BCL)-2 to LOXL2/LOXL3 was verified. The ubiquitination level of BCL-2 and histone acetylation level of LOXL2/LOXL3 in LC cells were analyzed. Database analyses revealed that LC patients had high CEBPA, LOXL2, and LOXL3 expression, which were related to poor prognosis. LC cells also exhibited high CEBPA, LOXL2, and LOXL3 levels. LOXL2/LOXL3 knockdown subdued EMT, proliferation, migration, and invasion while enhancing the apoptosis of LC cells. LOXL2/LOXL3 could bind to CEBPA and BCL-2. LOXL2/LOXL3 knockdown upregulated BCL-2 ubiquitination level and diminished BCL-2 expression in LC cells. CEBPA recruited Tip60 to enhance histone acetylation and transcription of LOXL2/LOXL3 in LC cells. BCL-2 overexpression abolished the impacts of LOXL2/LOXL3 knockdown on LC cells. In conclusion, CEBPA boosts LOXL2 and LOXL3 transcription to facilitate BCL-2 stability by recruiting Tip60 and thus contributes to LC cell growth and metastasis.

Mediating effect of negative emotions on visual impairment and resilience among middle-aged and elderly populations / 预防医学

Objective @#To investigate the mediating effect of negative emotions on visual impairment and resilience among middle-aged and elderly populations, so as to provide insights into improving psychological health among middle-aged and elderly populations.@*Methods@#Demographic information, visual impairment, negative emotions and resilience in the residents at ages of 45 years and older were collected through the database of the Yushu Physical and Mental Health Survey carried out by Institute of Psychology of Chinese Academy of Sciences. Structural equation model was used to analyze the effects of visual impairment and resilience and the mediating role of negative emotions. @*Results@#Totally 2 997 middle-aged and elderly populations were enrolled, with the median age of 50.00 (interquartile range, 47.00) years. There were 1 320 males (44.04%) and 1 677 females (55.96%), 1 627 illiterate persons (54.29%), and 2 780 married persons (92.76%). The scores of visual impairment, negative emotions and resilience were (6.79±2.59), (6.35±3.05) and (33.38±10.41) points, respectively. The results of structural equation model analysis showed that after adjusting for age, gender, educational level and marital status, visual impairment had a direct negative positive effect on resilience, with a direct effect value of -0.157 (95%CI: -0.177 to -0.137), and visual impairment could also negatively affect residence through negative emotions, with a mediating effect value of -0.112 (95%CI: -0.126 to -0.104), and the mediating effect contributed 41.64% to the total effect.@*Conclusion@#visual impairment could reduce residence directly or indirectly through the mediating effect of negative emotions among middle-aged and elderly populations.

Atomic Dispersed Hetero-Pairs for Enhanced Electrocatalytic CO2 Reduction.

Electrochemical carbon dioxide reduction reaction (CO2RR) involves a variety of intermediates with highly correlated reaction and ad-desorption energies, hindering optimization of the catalytic activity. For example, increasing the binding of the *COOH to the active site will generally increase the *CO desorption energy. Breaking this relationship may be expected to dramatically improve the intrinsic activity of CO2RR, but remains an unsolved challenge. Herein, we addressed this conundrum by constructing a unique atomic dispersed hetero-pair consisting of Mo-Fe di-atoms anchored on N-doped carbon carrier. This system shows an unprecedented CO2RR intrinsic activity with TOF of 3336 h-1, high selectivity toward CO production, Faradaic efficiency of 95.96% at - 0.60 V and excellent stability. Theoretical calculations show that the Mo-Fe diatomic sites increased the *COOH intermediate adsorption energy by bridging adsorption of *COOH intermediates. At the same time, d-d orbital coupling in the Mo-Fe di-atom results in electron delocalization and facilitates desorption of *CO intermediates. Thus, the undesirable correlation between these steps is broken. This work provides a promising approach, specifically the use of di-atoms, for breaking unfavorable relationships based on understanding of the catalytic mechanisms at the atomic scale.

Atomically Dispersed CrOX on Pd Metallene for CO-Resistant Methanol Oxidation.

The effective design and construction of high-performance methanol oxidation reaction (MOR) electrocatalysts are significant for the development of direct methanol fuel cells. But the active sites of the MOR electrocatalysts are susceptible to being poisoned by CO, resulting in poor durability. Herein, we report an atomically dispersed CrOX species anchored on Pd metallene through bridging O atoms. This catalyst shows an outstanding MOR performance with 7 times higher mass activity and 100 mV lower CO electrooxidation potential than commercial Pd/C. The results of operando electrochemical Fourier transform infrared spectroscopy demonstrate the rapid removal of CO* on CrOX-Pd metallene. Theoretical calculations reveal that atomically dispersed CrOX can lower the adsorption energy of CO* on Pd sites and enhance that of OH* through the formation of a hydrogen bond, decreasing the formation energy of COOH*. This work provides a new strategy for improving MOR performance via atomically engineering oxide/metal interfaces.

Waterwheel-inspired rotating evaporator for efficient and stable solar desalination even in saturated brine.

Solar desalination is one of the most promising technologies to address global freshwater shortages. However, traditional evaporators encounter the bottleneck of reduced evaporation rate or even failure due to salt accumulation in high-salinity water. Inspired by ancient waterwheels, we have developed an adaptively rotating evaporator that enables long-term and efficient solar desalination in brines of any concentration. The evaporator is a sulphide-loaded drum-type biochar. Our experiments and numerical simulations show that this evaporator, thanks to its low density and unique hydrophilic property, rotates periodically under the center-of-gravity shift generated by salt accumulation, achieving self-removal of salt. This allows it to maintain a high evaporation rate of 2.80 kg m-2 h-1 within 24 h even in saturated brine (26.47%), which was not achieved previously. This proof-of-concept work therefore demonstrates a concentration- and time-independent, self-rotation-induced solar evaporator.

Spatially Confined PdHx Metallenes by Tensile Strained Atomic Ru Layers for Efficient Hydrogen Evolution.

Hydride metallenes show great potential for hydrogen-related catalytic applications due to favorable electronic structures modulated by interstitial hydrogen atoms and large active surface areas of metallenes. Metallene nanostructures generally have compressive strain relative to bulk, which can affect both the stability and the catalytic behavior of hydride metallenes but in general cannot be controlled. Here, we demonstrate highly stable PdHx metallenes with a tensile strained Ru surface layer and reveal the spatial confinement effect of the Ru skin by multiple spectroscopic characterizations and molecular dynamics simulations. These PdHx@Ru metallenes with a 4.5% expanded Ru outer layer exhibit outstanding alkaline hydrogen evolution reaction activity with a low overpotential of 30 mV at 10 mA cm-2 and robust stability with negligible activity decay after 10,000 cycles, which are superior to commercial Pt/C and most reported Ru-based electrocatalysts. Control experiments and first-principles calculations reveal that the tensile strained Ru outer layer lowers the energy barrier of H2O dissociation and provides a moderate hydrogen adsorption energy.

Module-Level Polaritonic Thermophotovoltaic Emitters via Hierarchical Sequential Learning.

Thermophotovoltaic (TPV) generators provide continuous and high-efficiency power output by utilizing local thermal emitters to convert energy from various sources to thermal radiation matching the bandgaps of photovoltaic cells. Lack of effective guidelines for thermal emission control at high temperatures, poor thermal stability, and limited fabrication scalability are the three key challenges for the practical deployment of TPV devices. Here we develop a hierarchical sequential-learning optimization framework and experimentally realize a 6″ module-scale polaritonic thermal emitter with bandwidth-controlled thermal emission as well as excellent thermal stability at 1473 K. The 300 nm bandwidth thermal emission is realized by a complex photon polariton based on the superposition of Tamm plasmon polariton and surface plasmon polariton. We experimentally achieve a spectral efficiency of 65.6% (wavelength range of 0.4-8 µm) with statistical deviation less than 4% over the 6″ emitter, demonstrating industrial-level reliability for module-scale TPV applications.

Ion-Assisted Preparation of Bimetallic Porous Nanodendrites for Active and Stable Water Electrolysis.

Delicate electrochemical active surface area (ECSA) engineering over the exposed catalytic interface and surface topology of platinum-based nanomaterial represents an effective pathway to boost its catalytic properties toward the clean energy conversion system. Here, for the first time, the facial and universal production of dendritic Pt-based nanoalloys (Pt-Ni, Co, Fe) with highly porous feature via a novel Zn2+ -mediated solution approach is demonstrated. In the presence of Zn2+ during synthesis, the competition of different galvanic replacement reactions and consequently generated "branch-to-branch" growth mode are believed to play key roles for the in situ fabrication of such unique nanostructure. Due to the fully exposed active sites and ligand effect-induced electronic optimization, electrochemical hydrogen evolution in alkaline media on these catalysts exhibit dramatic activity enhancement, delivering a current density of 30.6 mA cm-2 at a 70 mV overpotential for the Pt3 Ni nanodendrites and over 7.4 times higher than that of commercial Pt/C. This work highlights a general and powerful ion-assisted strategy for exploiting dendritic Pt-based nanostructures with efficient activities for water electrolysis.

The influence of internet use frequency, family atmosphere, and academic performance on adolescent depression: Based on the chain mediating effect of self-adjustment and campus deviant behavior.

Introduction: Depression has become a prominent psychological problem among young people. The purpose of this study was to investigate the potential relationship between the frequency of Internet use, family atmosphere, academic performance, self-adjustment, campus deviant behavior, and depressive symptoms among adolescents. Methods: Based on the survey data of the fifth wave (2017~2018) and the sixth wave (2019~2020) of the China Family Panel Studies (CFPS), this study used LISREL8.8 software to analyze 1,577 10~15 data on adolescents. Results: In this study, the mean score of self-adjustment was 42.40 (SD = 6.79), the mean score of campus deviant behavior was 12.59 (SD = 4.00), the mean score of depressive symptoms in 2018 was 11.88 (SD = 3.04), and the mean score of depressive symptoms in 2020 was 7.64 (SD = 2.20). Secondly, the frequency of Internet use had no direct effect on the depressive symptoms of adolescents, family atmosphere was negatively correlated with depressive symptoms (p < 0.005), and academic performance was positively correlated with depressive symptoms (p < 0.005). Depressive symptoms in 2020 had a direct effect (ß = 0.37, p < 0.001), and also had a negative effect on depressive symptoms in 2020, with a total effect of-0.07 (p < 0.001); self-adjustment had no direct effect on depressive symptoms in adolescents in 2018, However, the total effect was -0.14 (p < 0.001), which had a significant positive effect on 2020 depressive symptoms, and the total effect was 0.18 (p < 0.001), and self-adjustment had a significant negative effect on adolescent campus deviant behavior (ß = -0.38, p < 0.001); in addition, the frequency of Internet use, family atmosphere, and academic performance all had indirect effects on adolescents' 2020 depressive symptoms, with total effects of -0.60, 0.01, and 0.02 (p < 0.001), respectively. This study also found depressive symptoms in adolescents have a certain persistence in time. Discussion: Based on this study, it is necessary to pay more attention to the depression of adolescents, strengthen the training of self-adjustment, improve the anti-frustration ability and psychological resilience, and reduce the campus deviant behavior of adolescents. It is recommended to try to start from emotional self-adjustment to promote the personality health of adolescents.

MiR-143-3p Increases the Radiosensitivity of Breast Cancer Cells Through FGF1.

Breast cancer is a common malignant tumor in women. At present, the main treatment for breast cancer is radiotherapy. Due to the difference in radiosensitivity between individuals or tumor cells, the effect of radiotherapy is not good. Therefore, in radiotherapy, how to use various auxiliary means to reduce the radiation resistance of tumor, Therefore, it has become an important research topic to improve the radiosensitivity of the tumor. Fibroblast growth factor-1 (FGF1) plays an important role in tumor migration. Therefore, the study of miR-143-3p increasing the radiosensitivity of breast cancer cells through FGF1 is proposed in this paper. In this study, a control group experiment was set up to study. During the experiment, the relative expression of miR-143-3p was detected by fluorescent quantitative PCR of miRNA, and the cell irradiation experiment was created to analyze the radiosensitivity of breast cancer cells by comparing their survival fraction. The results of this study showed that when the radiation dose was 0, the survival scores of the three groups were all 1. The survival fraction of the experimental group decreased from 0.26 ± 0.045 to 0.068 ± 0.008 when the dose was added to 4Gy. The survival fraction of the experimental group was always greater than that of the two control groups. The results of this study show that miR-143-3p can increase the radiosensitivity of breast cancer cells through FGF1.

Atomically Dispersed MoOx on Rhodium Metallene Boosts Electrocatalyzed Alkaline Hydrogen Evolution.

Accelerating slow water dissociation kinetics is key to boosting the hydrogen evolution reaction (HER) in alkaline media. We report the synthesis of atomically dispersed MoOx species anchored on Rh metallene using a one-pot solvothermal method. The resulting structures expose the oxide-metal interfaces to the maximum extent. This leads to a MoOx -Rh catalyst with ultrahigh alkaline HER activity. We obtained a mass activity of 2.32 A mgRh -1 at an overpotential of 50 mV, which is 11.8 times higher than that of commercial Pt/C and surpasses the previously reported Rh-based electrocatalysts. First-principles calculations demonstrate that the interface between MoOx and Rh is the active center for alkaline HER. The MoOx sites preferentially adsorb and dissociate water molecules, and adjacent Rh sites adsorb the generated atomic hydrogen for efficient H2 evolution. Our findings illustrate the potential of atomic interface engineering strategies in electrocatalysis.

Research on Distributed Energy Consensus Mechanism Based on Blockchain in Virtual Power Plant.

Virtual power plant (VPP) composed of a large number of distributed energy resources (DERs) has become a regional multienergy aggregation model to realize the large-scale integration of renewable energy generation into the grid. Due to the characteristics of centralized management, the existing energy operation mode is difficult to simply apply to distributed energy resources transactions. The decentralization, transparency, contract execution automation and traceability of blockchain technology provide a new solution to the aggregation of decentralized resources and the opacity of transactions in VPP. In this paper, the existing problems of virtual power plants are analyzed, and the virtual power plant trading model is designed, which realizes the transparent benefit distribution and message transmission of virtual power plants. The virtual power plant blockchain network based on blockchain technology in this model solves the DERs coordination problem in VPP and the security and efficiency problems in information transmission. Combined with the actual situation of virtual power plant, the blockchain network collaboration mechanism (BNCM), which is convenient to reach agreement, is designed. Compared with the traditional practical Byzantine fault tolerance (PBFT) consensus algorithm, this mechanism can make DERs reach a consensus quickly. Finally, simulation experiments on the consensus algorithm show that the algorithm can reduce the collaboration time between DERs under the premise of ensuring the same fault tolerance rate and is more suitable for VPP scenarios with a large number of DERs.

Digital twin-driven variant design of a 3C electronic product assembly line.

Large-scale personalization is becoming a reality. To ensure market competitiveness and economic benefits, enterprises require rapid response capability and flexible manufacturing operations. However, variant design and production line reconfiguration are complicated because it involves the commissioning, replacement, and adaptive integration of equipment and remodification of control systems. Herein, a digital twin-driven production line variant design is presented. As a new technology, the digital twin can realize the parallel control from the physical world to the digital world and accelerate the design process of the production line through a virtual-real linkage. Simultaneously, the actual production line can be simulated to verify the rationality of the design scheme and avoid cost wastage. Four key technologies are described in detail, and a production line variant design platform based on digital twin is built to support rapid production line variant design. Finally, experiments using a smartphone assembly line as an example are performed; the results demonstrate that the proposed method can realize production line variant design and increase production efficiency.

Bi-level artificial intelligence model for risk classification of acute respiratory diseases based on Chinese clinical data.

OBJECTIVE: The high incidence of respiratory diseases has dramatically increased the medical burden under the COVID-19 pandemic in the year 2020. It is of considerable significance to utilize a new generation of information technology to improve the artificial intelligence level of respiratory disease diagnosis. METHODS: Based on the semi-structured data of Chinese Electronic Medical Records (CEMRs) from the China Hospital Pharmacovigilance System, this paper proposed a bi-level artificial intelligence model for the risk classification of acute respiratory diseases. It includes two levels. The first level is a dedicated design of the "BiLSTM+Dilated Convolution+3D Attention+CRF" deep learning model that is used for Chinese Clinical Named Entity Recognition (CCNER) to extract valuable information from the unstructured data in the CEMRs. Incorporating the transfer learning and semi-supervised learning technique into the proposed deep learning model achieves higher accuracy and efficiency in the CCNER task than the popular "Bert+BiLSTM+CRF" approach. Combining the extracted entity data with other structured data in the CEMRs, the second level is a customized XGBoost to realize the risk classification of acute respiratory diseases. RESULTS: The empirical study shows that the proposed model could provide practical technical support for improving diagnostic accuracy. CONCLUSION: Our study provides a proof-of-concept for implementing a hybrid artificial intelligence-based system as a tool to aid clinicians in tackling CEMR data and enhancing the diagnostic evaluation under diagnostic uncertainty.

The role and mechanism of claudins in cancer.

Claudins are a tetraspan membrane protein multigene family that plays a structural and functional role in constructing tight junctions. Claudins perform crucial roles in maintaining cell polarity in epithelial and endothelial cell sheets and controlling paracellular permeability. In the last two decades, increasing evidence indicates that claudin proteins play a major role in controlling paracellular permeability and signaling inside cells. Several types of claudins are dysregulated in various cancers. Depending on where the tumor originated, claudin overexpression or underexpression has been shown to regulate cell proliferation, cell growth, metabolism, metastasis and cell stemness. Epithelial-to-mesenchymal transition is one of the most important functions of claudin proteins in disease progression. However, the exact molecular mechanisms and signaling pathways that explain why claudin proteins are so important to tumorigenesis and progression have not been determined. In addition, claudins are currently being investigated as possible diagnostic and treatment targets. Here, we discuss how claudin-related signaling pathways affect tumorigenesis, tumor progression, and treatment sensitivity.

Depression and Life Satisfaction Among Middle-Aged and Older Adults: Mediation Effect of Functional Disability.

With increasing age, middle-aged and older persons face a series of physical and mental health problems. This study aimed to explore the latent relationships among age, functional disability, depression, and life satisfaction. The data were obtained from the Wave 2 (in 2013-2014) and Wave 3 (in 2015-2016) surveys of the China Health and Retirement Longitudinal Study. The analytic sample in the present study included 15,950 individuals aged 45 years and over. The participants answered the same questions concerning depression and life satisfaction in both study waves, and functional disability was measured based on the activities of daily living and instrumental activities of daily living. Age was directly associated with functional disability, life satisfaction, and depression. Functional disability was positively correlated with depression and negatively correlated with life satisfaction. Functional disability strongly mediated the relationships among age, depression, and life satisfaction. Depression and life satisfaction were found to have enduring effects and effects on each other. Additionally, the model revealed a gender difference. Depression in middle-aged people should receive closer attention. Avoiding or improving functional disability may be an effective way to improve life satisfaction and reduce the level of depression in middle-aged and older persons. If prevention work successfully decreases depression, the life dissatisfaction of middle-aged and older people could be improved. Additionally, for the prevention of functional disability and depression and improvement in life satisfaction, gender differences need to be considered.

Rational Construction of Ruthenium-Cobalt Oxides Heterostructure in ZIFs-Derived Double-Shelled Hollow Polyhedrons for Efficient Hydrogen Evolution Reaction.

Transition metal oxides (TMOs) and their heterostructure hybrids have emerged as promising candidates for hydrogen evolution reaction (HER) electrocatalysts based on the recent technological breakthroughs and significant advances. Herein, Ru-Co oxides/Co3 O4 double-shelled hollow polyhedrons (RCO/Co3 O4 -350 DSHPs) with Ru-Co oxides as an outer shell and Co3 O4 as an inner shell by pyrolysis of core-shelled structured RuCo(OH)x @zeolitic-imidazolate-framework-67 derivate at 350 °C are constructed. The unique double-shelled hollow structure provides the large active surface area with rich exposure spaces for the penetration/diffusion of active species and the heterogeneous interface in Ru-Co oxides benefits the electron transfer, simultaneously accelerating the surface electrochemical reactions during HER process. The theory computation further indicates that the existence of heterointerface in RCO/Co3 O4 -350 DSHPs optimize the electronic configuration and further weaken the energy barrier in the HER process, promoting the catalytic activity. As a result, the obtained RCO/Co3 O4 -350 DSHPs exhibit outstanding HER performance with a low overpotential of 21 mV at 10 mA cm-2 , small Tafel slope of 67 mV dec-1 , and robust stability in 1.0 m KOH. This strategy opens new avenues for designing TMOs with the special structure in electrochemical applications.

The mitochondria/caspase-dependent apoptotic pathway plays a role in the positive effects of a power frequency electromagnetic field on Alzheimer's disease neuronal model.

In this study, rat pheochromocytoma (PC12) cells were induced into an Alzheimer's Disease (AD) neuronal model using nerve growth factor (NGF; 50 ng/mL) and Amyloid ß25-35 (20 µmol/L). Changes in the morphological structure, cell viability, apoptosis rate, and expression of apoptosis-related protein induced by exposure to a power frequency electromagnetic field (PF-MF; 50 Hz, 100 µT, 24 h) were detected respectively by light and electron microscopy, the MTT assay, immunohistochemistry, flow cytometry and enzyme-linked immunosorbent assays. The results showed that 3-12 h after PF-MF exposure, the pathological injury was improved partly; metabolic activity was promoted and cell apoptosis was inhibited in the AD neuronal model. In addition, PF-MF exposure significantly inhibited the expression of Caspase8, Caspase3, and CytC, but increased the Bcl-2/Bax ratio of the AD neuronal model. Meanwhile, PF-MF seemed to have no effect on the expression of Fas and TNFR1. This study indicated that the mitochondria/caspase-dependent apoptotic pathway plays an important role in the positive effects of PF-MF on an AD neuronal model. The results suggested that PF-MF exposure might have potential therapeutic value for AD, and the underling molecular mechanisms still need further studies.

Superb Hydrogen Evolution by a Pt Nanoparticle-Decorated Ni3S2 Microrod Array.

Ni3S2 has attracted great interest as a potential alternative catalyst for the oxygen evolution reaction; however, the formation of sulfur-hydrogen bonds on Ni3S2 suppressed the hydrogen evolution reaction (HER), which remains a significant challenge in interface engineering of Ni3S2 structures for enhancing its HER performance. Herein, we demonstrate an efficient strategy for constructing a Pt nanoparticle-decorated Ni3S2 microrod array supported on Ni foam (Pt/Ni3S2/NF) by electrodeposition of Pt nanoparticles on hydrothermally synthesized Ni3S2/NF. The Pt/Ni3S2/NF heterostructure array exhibits an extremely low overpotential of 10 mV at 10 mA cm-2, surpassing that of commercial Pt/C and representing the best alkaline HER catalysts to date. Impressively, at an overpotential of 0.15 V, Pt/Ni3S2/NF displays a Pt mass activity and a normalized current density (against the electrochemical surface area) of 5.52 A mg-1 and 1.84 mA cm-2, respectively, which are 8.8 and 15.3 times higher compared to those of Pt/C, respectively. In addition, this electrode also shows much enhanced catalytic performance and stability in neutral media. Such enhanced HER activities are attributed to the constructed interface in the Pt/Ni3S2 heterostructure array, which synergistically favor water dissociation and subsequent hydrogen evolution, which is supported by density functional theory calculations.

Silencing of S-phase kinase-associated protein 2 enhances radiosensitivity of esophageal cancer cells through inhibition of PI3K/AKT signaling pathway.

We investigated the effect of S-phase kinase-associated protein 2 (SKP2) on radiosensitivity of esophageal cancer (EC) cells. Expression of SKP2, PI3K, AKT, Bcl-2 and Bax were assayed in EC. EC cells were transfected with SKP2-siRNA/IGF-1 to detect expression of SKP2, PI3K, AKT, Bcl-2 and Bax. At last, the radiosensitivity of cells in different doses of X (0, 2, 4, 6, 8 Gy) irradiation and cell apoptosis were also detected. EC cells displayed a higher positive expression rate of SKP2, elevated mRNA and protein expression of SKP2, PI3K, AKT, Bcl-2 and Bax, as well as higher extent of PI3K and AKT phosphorylation. SKP2 silencing downregulated mRNA and protein expression of PI3K, AKT and Bcl-2 but increased p27 protein expression, and inhibited the cell survival rate while promoting cell apoptosis. Taken together, silencing SKP2 can inhibit the PI3K/AKT signaling pathway, thereby increasing the radiosensitivity of EC cells.