目前,通用的轨道交通乘客信息系统(passenger information system,PIS)存在兼容性较低、稳定性和可扩展性不足等问题,基于此,设计基于“LCD-系统主机-上位机软件”的PIS三端通信框架,系统主机作为核心中转节点,通过多模块实现数据解析...目前,通用的轨道交通乘客信息系统(passenger information system,PIS)存在兼容性较低、稳定性和可扩展性不足等问题,基于此,设计基于“LCD-系统主机-上位机软件”的PIS三端通信框架,系统主机作为核心中转节点,通过多模块实现数据解析、缓冲及转发,液晶显示屏以独立服务器身份通信,具备热插拔及音视频播放能力,上位机则提供统一监控配置接口,旨在提升系统的兼容性、维护性及功能性。展开更多
Background:One of the first hundred traditional Chinese medicines(TCM)formulas administered in China,Qianghuo Shengshi Decoction(QSD)has a positive clinical and therapeutic impact on rheumatoid arthritis(RA).Even so,t...Background:One of the first hundred traditional Chinese medicines(TCM)formulas administered in China,Qianghuo Shengshi Decoction(QSD)has a positive clinical and therapeutic impact on rheumatoid arthritis(RA).Even so,there is still not enough knowledge on the active ingredients and possible ways that QSDs might work to treat RA.This study systematically investigated the active ingredients and mechanisms of action of QSD for treating wind-cold-dampness arthralgia type RA.Methods:UHPLC-QE-MS and network pharmacology techniques were employed to predict the potential active constituents,targets,and associated signalling pathways.Then,the therapeutic effect of QSD was examined using a wind-cold-dampness arthralgia paralytic RA rat model.Finally,the complex mechanism was comprehensively elucidated by integrating transcriptomics and network pharmacology.The above mechanisms were also verified by molecular docking,immunohistochemistry and Western blot.Results:UHPLC-QE-MS and network pharmacology analysis revealed that ferulic acid,imperatorin,magnolol,quercetin,and scopoletin could be the primary constituents in QSD responsible for its anti-RA effects.Animal experiments showed that QSD can significantly inhibit rat joint swelling degree,decrease the content of serum rheumatoid factor(RF),interleukin(IL)-1β,tumor necrosis factor-alpha(TNF-α),IL-6,and anti-citrullinated protein antibodies(ACPA),and increase the content of IL-4,IL-10 to relieve the clinical symptoms of wind-cold-dampness arthralgia type RA.The mechanistic study showed that QSD may effectively inhibit rat synovial hyperplasia via promoting autophagy and apoptosis of synovial cells by regulating the PI3K/Akt/mTOR signalling pathway.Conclusion:This study identifies key active ingredients in QSD and elucidates its potential mechanism for treating wind-cold-dampness arthralgia type RA,providing a basis for the clinical application of QSD.展开更多
With the rapid development of the Internet of Things(IoT),artificial intelligence,and big data,wastesorting systems must balance high accuracy,low latency,and resource efficiency.This paper presents an edge-friendly i...With the rapid development of the Internet of Things(IoT),artificial intelligence,and big data,wastesorting systems must balance high accuracy,low latency,and resource efficiency.This paper presents an edge-friendly intelligent waste-sorting system that integrates a lightweight visual neural network,a pentagonal-trajectory robotic arm,and IoT connectivity to meet the requirements of real-time response and high accuracy.A lightweight object detection model,YOLO-WasNet(You Only Look Once for Waste Sorting Network),is proposed to optimize performance on edge devices.YOLO-WasNet adopts a lightweight backbone,applies Spatial Pyramid Pooling-Fast(SPPF)and Convolutional Block Attention Module(CBAM),and replaces traditional C3 modules(Cross Stage Partial Bottleneck with 3 convolutions)with efficient C2f blocks(Cross Stage Partial Bottleneck with 2 Convolutions fast)in the neck.Additionally,a Depthwise Parallel Triple-attention Convolution(DPT-Conv)operator is introduced to enhance feature extraction.Experiments on a custom dataset of nine waste categories conforming to Shanghai’s sorting standard(7,917 images)show that YOLO-WasNet achieves a mean average precision(mAP50)of 96.8%and a precision of 96.9%,while reducing computational cost by 30%compared to YOLOv5s.On a Raspberry Pi 4B,inference time is reduced from 480 to 350 ms,ensuring real-time performance.This system offers a practical and viable solution for low-cost,efficient automated waste management in smart cities.展开更多
The integration of renewable energy sources into modern power systems necessitates efficient and robust control strategies to address challenges such as power quality,stability,and dynamic environmental variations.Thi...The integration of renewable energy sources into modern power systems necessitates efficient and robust control strategies to address challenges such as power quality,stability,and dynamic environmental variations.This paper presents a novel sparrow search algorithm(SSA)-tuned proportional-integral(PI)controller for grid-connected photovoltaic(PV)systems,designed to optimize dynamic perfor-mance,energy extraction,and power quality.Key contributions include the development of a systematic SSA-based optimization frame-work for real-time PI parameter tuning,ensuring precise voltage and current regulation,improved maximum power point tracking(MPPT)efficiency,and minimized total harmonic distortion(THD).The proposed approach is evaluated against conventional PSO-based and P&O controllers through comprehensive simulations,demonstrating its superior performance across key metrics:a 39.47%faster response time compared to PSO,a 12.06%increase in peak active power relative to P&O,and a 52.38%reduction in THD,ensuring compliance with IEEE grid standards.Moreover,the SSA-tuned PI controller exhibits enhanced adaptability to dynamic irradiancefluc-tuations,rapid response time,and robust grid integration under varying conditions,making it highly suitable for real-time smart grid applications.This work establishes the SSA-tuned PI controller as a reliable and efficient solution for improving PV system performance in grid-connected scenarios,while also setting the foundation for future research into multi-objective optimization,experimental valida-tion,and hybrid renewable energy systems.展开更多
Significance:Over 80%of cervical cancer cases occur in lower-to-middle income countries(LMIC’s).This is partly because current screening techniques lack affordability,accessibility,and/or reliability for use in LMIC...Significance:Over 80%of cervical cancer cases occur in lower-to-middle income countries(LMIC’s).This is partly because current screening techniques lack affordability,accessibility,and/or reliability for use in LMIC’s.Aim:To develop an optical technique for cervical cancer screening that is affordable,accessible,and reliable for use in LMIC’s.Approach:We developed a portable diffuse reflectance spectroscopy(DRS)system,which costs$<2500 USD to manufacture,and employs a Raspberry Pi to extract the absorption(μα)and reduced scattering(μ′s)coefficients of biological tissue.The system was subject to travel and intentional rough handling.It was further used to capture 320 DRS spectra taken from 64 tissue-mimicking phantoms.Two users collected phantom data,one“expert”,and one“novice”in biomedical optics.The system was also used to collect 335 spectra from colon,small intestine,and rectal tissue of a fresh ex vivo porcine specimen.A previously described artificial intelligence model was used to extract optical properties,and a GradientBoostingClassifier identified the organ of origin for ex vivo spectra.Results:System alignment was robust to intentional rough handling and travel.Phantomμαandμ′s were predicted with average root-mean square error of<10%,regardless of user.Regarding ex vivo data,the system predicted the organ of origin with 80–90%accuracy.Statistical differences between predicted wereμαobserved in all three organs(P<0.001–0.03),and betweenμ′s in two organs(P<0.001–0.07).Conclusions:The DRS system has the potential to be affordable,reliable,and accessible for cervical screening in LMIC’s.展开更多
Background Interconnection of different power systems has a major effect on system stability.This study aims to design an optimal load frequency control(LFC)system based on a proportional-integral(PI)controller for a ...Background Interconnection of different power systems has a major effect on system stability.This study aims to design an optimal load frequency control(LFC)system based on a proportional-integral(PI)controller for a two-area power system.Methods Two areas were connected through an AC tie line in parallel with a DC link to stabilize the frequency of oscillations in both areas.The PI parameters were tuned using the cuckoo search algorithm(CSA)to minimize the integral absolute error(IAE).A state matrix was provided,and the stability of the system was verified by calculating the eigenvalues.The frequency response was investigated for load variation,changes in the generator rate constraint,the turbine time constant,and the governor time constant.Results The CSA was compared with particle swarm optimization algorithm(PSO)under identical conditions.The system was modeled based on a state-space mathematical representation and simulated using MATLAB.The results demonstrated the effectiveness of the proposed controller based on both algorithms and,it is clear that CSA is superior to PSO.Conclusion The CSA algorithm smoothens the system response,reduces ripples,decreases overshooting and settling time,and improves the overall system performance under different disturbances.展开更多
To enhance the frequency stability and lower the regulation mileage payment of a multiarea integrated energy system(IES)that supports the power Internet of Things(IoT),this paper proposes a data-driven cooperative met...To enhance the frequency stability and lower the regulation mileage payment of a multiarea integrated energy system(IES)that supports the power Internet of Things(IoT),this paper proposes a data-driven cooperative method for automatic generation control(AGC).The method consists of adaptive fractional-order proportional-integral(FOPI)controllers and a novel efficient integration exploration multiagent twin delayed deep deterministic policy gradient(EIE-MATD3)algorithm.The FOPI controllers are designed for each area based on the performancebased frequency regulation market mechanism.The EIE-MATD3 algorithm is used to tune the coefficients of the FOPI controllers in real time using centralized training and decentralized execution.The algorithm incorporates imitation learning and efficient integration exploration to obtain a more robust coordinated control strategy.An experiment on the four-area China Southern Grid(CSG)real-time digital system shows that the proposed method can improve the control performance and reduce the regulation mileage payment of each area in the IES.展开更多
目的:观察基于补肾健脾法拟定的中药汤剂补肾健脾活血方对多囊卵巢综合征伴胰岛素抵抗(PCOS-IR)模型大鼠的干预作用,并从磷脂酰肌醇3-激酶/蛋白激酶B/核因子κB(PI3K/Akt/NF-κB)信号通路探讨其作用机制。方法:将30只雌性SD大鼠随机分...目的:观察基于补肾健脾法拟定的中药汤剂补肾健脾活血方对多囊卵巢综合征伴胰岛素抵抗(PCOS-IR)模型大鼠的干预作用,并从磷脂酰肌醇3-激酶/蛋白激酶B/核因子κB(PI3K/Akt/NF-κB)信号通路探讨其作用机制。方法:将30只雌性SD大鼠随机分为正常组6只和造模组24只,造模组采用高脂饮食联合来曲唑灌胃法构建PCOS-IR模型。造模组所有大鼠均造模成功,将造模成功的24只大鼠随机分为模型组、阳性药物组(二甲双胍,每日给药量0.195 g/kg)和补肾健脾活血方低剂量组(每日给药量14.3 g/kg)、高剂量组(每日给药量28.6 g/kg),每组6只。各治疗组大鼠每日灌胃给予相应药物,模型组与正常组大鼠每日灌胃给予等量生理盐水,均每日1次,连续14 d。末次给药结束后当天下午4时起各组大鼠禁食不禁水,第2日上午9时开始进行取材和指标检测。尾尖取血,使用血糖仪检测空腹血糖(FBG);眼眶静脉取血,采用酶联免疫吸附(ELISA)法检测空腹胰岛素(FINS),计算胰岛素抵抗指数(HOMA-IR);运用苏木精-伊红(HE)染色法观察各组大鼠卵巢组织病理形态;采用实时荧光定量聚合酶链式反应(q PCR)法检测各组大鼠卵巢组织PI3K、Akt、NF-кB抑制蛋白激酶(IKK)、NF-κB、NF-κB抑制因子(IκB)m RNA表达水平。结果:模型组大鼠FINS、FBG、HOMAIR水平均明显高于正常组(P<0.05,P<0.01);阳性药物组大鼠上述指标水平均明显低于模型组(P<0.05),补肾健脾活血方低、高剂量组大鼠FINS、HOMA-IR水平均显著低于模型组(P<0.01);阳性药物组大鼠FINS水平明显高于补肾健脾活血方低、高剂量组(P<0.05),FBG水平明显低于补肾健脾活血方低、高剂量组(P<0.05);上述各指标补肾健脾活血方低、高剂量组组间比较,差异均无统计学意义(P>0.05)。正常组大鼠卵巢结构完整,可见各级发育卵泡及黄体;模型组大鼠卵巢组织呈典型PCOS-IR病理改变,即白膜增厚、皮质纤维化、囊状卵泡增多、黄体减少及闭锁卵泡增加;各给药组病理表现相似,均较模型组有不同程度改善,表现为囊状卵泡减少、闭锁卵泡减少,卵巢结构趋于恢复正常。模型组大鼠卵巢组织PI3K、Akt m RNA表达明显低于正常组(P<0.01),IKK、IκB、NF-κB m RNA表达明显高于正常组(P<0.05,P<0.01);补肾健脾活血方高剂量组大鼠上述指标较模型组均有明显改善(P<0.05,P<0.01),阳性药物组、补肾健脾活血方低剂量组Akt m RNA表达明显高于模型组(P<0.05);补肾健脾活血方高剂量组PI3K、Akt m RNA表达明显高于低剂量组和阳性药物组(P<0.05,P<0.01),IKK、NF-κB m RNA表达明显低于低剂量组和阳性药物组(P<0.05,P<0.01)。结论:补肾健脾活血方能有效改善PCOS-IR大鼠的胰岛素抵抗及卵巢多囊样病变,其机制可能与激活PI3K/Akt信号并抑制IKK/NF-κB通路有关。展开更多
文摘目前,通用的轨道交通乘客信息系统(passenger information system,PIS)存在兼容性较低、稳定性和可扩展性不足等问题,基于此,设计基于“LCD-系统主机-上位机软件”的PIS三端通信框架,系统主机作为核心中转节点,通过多模块实现数据解析、缓冲及转发,液晶显示屏以独立服务器身份通信,具备热插拔及音视频播放能力,上位机则提供统一监控配置接口,旨在提升系统的兼容性、维护性及功能性。
基金the National Natural Science Foundation of China(82204935)the construction project of Zhao Feng National Old Pharmacist Inheritance Studio of State Administration of Traditional Chinese Medicine(National Traditional Chinese Medicine Education Letter[2024]255)+1 种基金the open project of the Key Laboratory of Basic and New Drug Research of Traditional Chinese Medicine in Shaanxi Province(KF202302)the project of Xi’an Municipal Bureau of Science and Technology(23YXYJ0042)for financial support.
文摘Background:One of the first hundred traditional Chinese medicines(TCM)formulas administered in China,Qianghuo Shengshi Decoction(QSD)has a positive clinical and therapeutic impact on rheumatoid arthritis(RA).Even so,there is still not enough knowledge on the active ingredients and possible ways that QSDs might work to treat RA.This study systematically investigated the active ingredients and mechanisms of action of QSD for treating wind-cold-dampness arthralgia type RA.Methods:UHPLC-QE-MS and network pharmacology techniques were employed to predict the potential active constituents,targets,and associated signalling pathways.Then,the therapeutic effect of QSD was examined using a wind-cold-dampness arthralgia paralytic RA rat model.Finally,the complex mechanism was comprehensively elucidated by integrating transcriptomics and network pharmacology.The above mechanisms were also verified by molecular docking,immunohistochemistry and Western blot.Results:UHPLC-QE-MS and network pharmacology analysis revealed that ferulic acid,imperatorin,magnolol,quercetin,and scopoletin could be the primary constituents in QSD responsible for its anti-RA effects.Animal experiments showed that QSD can significantly inhibit rat joint swelling degree,decrease the content of serum rheumatoid factor(RF),interleukin(IL)-1β,tumor necrosis factor-alpha(TNF-α),IL-6,and anti-citrullinated protein antibodies(ACPA),and increase the content of IL-4,IL-10 to relieve the clinical symptoms of wind-cold-dampness arthralgia type RA.The mechanistic study showed that QSD may effectively inhibit rat synovial hyperplasia via promoting autophagy and apoptosis of synovial cells by regulating the PI3K/Akt/mTOR signalling pathway.Conclusion:This study identifies key active ingredients in QSD and elucidates its potential mechanism for treating wind-cold-dampness arthralgia type RA,providing a basis for the clinical application of QSD.
文摘With the rapid development of the Internet of Things(IoT),artificial intelligence,and big data,wastesorting systems must balance high accuracy,low latency,and resource efficiency.This paper presents an edge-friendly intelligent waste-sorting system that integrates a lightweight visual neural network,a pentagonal-trajectory robotic arm,and IoT connectivity to meet the requirements of real-time response and high accuracy.A lightweight object detection model,YOLO-WasNet(You Only Look Once for Waste Sorting Network),is proposed to optimize performance on edge devices.YOLO-WasNet adopts a lightweight backbone,applies Spatial Pyramid Pooling-Fast(SPPF)and Convolutional Block Attention Module(CBAM),and replaces traditional C3 modules(Cross Stage Partial Bottleneck with 3 convolutions)with efficient C2f blocks(Cross Stage Partial Bottleneck with 2 Convolutions fast)in the neck.Additionally,a Depthwise Parallel Triple-attention Convolution(DPT-Conv)operator is introduced to enhance feature extraction.Experiments on a custom dataset of nine waste categories conforming to Shanghai’s sorting standard(7,917 images)show that YOLO-WasNet achieves a mean average precision(mAP50)of 96.8%and a precision of 96.9%,while reducing computational cost by 30%compared to YOLOv5s.On a Raspberry Pi 4B,inference time is reduced from 480 to 350 ms,ensuring real-time performance.This system offers a practical and viable solution for low-cost,efficient automated waste management in smart cities.
文摘The integration of renewable energy sources into modern power systems necessitates efficient and robust control strategies to address challenges such as power quality,stability,and dynamic environmental variations.This paper presents a novel sparrow search algorithm(SSA)-tuned proportional-integral(PI)controller for grid-connected photovoltaic(PV)systems,designed to optimize dynamic perfor-mance,energy extraction,and power quality.Key contributions include the development of a systematic SSA-based optimization frame-work for real-time PI parameter tuning,ensuring precise voltage and current regulation,improved maximum power point tracking(MPPT)efficiency,and minimized total harmonic distortion(THD).The proposed approach is evaluated against conventional PSO-based and P&O controllers through comprehensive simulations,demonstrating its superior performance across key metrics:a 39.47%faster response time compared to PSO,a 12.06%increase in peak active power relative to P&O,and a 52.38%reduction in THD,ensuring compliance with IEEE grid standards.Moreover,the SSA-tuned PI controller exhibits enhanced adaptability to dynamic irradiancefluc-tuations,rapid response time,and robust grid integration under varying conditions,making it highly suitable for real-time smart grid applications.This work establishes the SSA-tuned PI controller as a reliable and efficient solution for improving PV system performance in grid-connected scenarios,while also setting the foundation for future research into multi-objective optimization,experimental valida-tion,and hybrid renewable energy systems.
文摘Significance:Over 80%of cervical cancer cases occur in lower-to-middle income countries(LMIC’s).This is partly because current screening techniques lack affordability,accessibility,and/or reliability for use in LMIC’s.Aim:To develop an optical technique for cervical cancer screening that is affordable,accessible,and reliable for use in LMIC’s.Approach:We developed a portable diffuse reflectance spectroscopy(DRS)system,which costs$<2500 USD to manufacture,and employs a Raspberry Pi to extract the absorption(μα)and reduced scattering(μ′s)coefficients of biological tissue.The system was subject to travel and intentional rough handling.It was further used to capture 320 DRS spectra taken from 64 tissue-mimicking phantoms.Two users collected phantom data,one“expert”,and one“novice”in biomedical optics.The system was also used to collect 335 spectra from colon,small intestine,and rectal tissue of a fresh ex vivo porcine specimen.A previously described artificial intelligence model was used to extract optical properties,and a GradientBoostingClassifier identified the organ of origin for ex vivo spectra.Results:System alignment was robust to intentional rough handling and travel.Phantomμαandμ′s were predicted with average root-mean square error of<10%,regardless of user.Regarding ex vivo data,the system predicted the organ of origin with 80–90%accuracy.Statistical differences between predicted wereμαobserved in all three organs(P<0.001–0.03),and betweenμ′s in two organs(P<0.001–0.07).Conclusions:The DRS system has the potential to be affordable,reliable,and accessible for cervical screening in LMIC’s.
基金Supported by the Russian Science Foundation(Agreement 23-41-10001,https://rscf.ru/project/23-41-10001/).
文摘Background Interconnection of different power systems has a major effect on system stability.This study aims to design an optimal load frequency control(LFC)system based on a proportional-integral(PI)controller for a two-area power system.Methods Two areas were connected through an AC tie line in parallel with a DC link to stabilize the frequency of oscillations in both areas.The PI parameters were tuned using the cuckoo search algorithm(CSA)to minimize the integral absolute error(IAE).A state matrix was provided,and the stability of the system was verified by calculating the eigenvalues.The frequency response was investigated for load variation,changes in the generator rate constraint,the turbine time constant,and the governor time constant.Results The CSA was compared with particle swarm optimization algorithm(PSO)under identical conditions.The system was modeled based on a state-space mathematical representation and simulated using MATLAB.The results demonstrated the effectiveness of the proposed controller based on both algorithms and,it is clear that CSA is superior to PSO.Conclusion The CSA algorithm smoothens the system response,reduces ripples,decreases overshooting and settling time,and improves the overall system performance under different disturbances.
基金upported by National Natural Science Foundation of China(52307118).
文摘To enhance the frequency stability and lower the regulation mileage payment of a multiarea integrated energy system(IES)that supports the power Internet of Things(IoT),this paper proposes a data-driven cooperative method for automatic generation control(AGC).The method consists of adaptive fractional-order proportional-integral(FOPI)controllers and a novel efficient integration exploration multiagent twin delayed deep deterministic policy gradient(EIE-MATD3)algorithm.The FOPI controllers are designed for each area based on the performancebased frequency regulation market mechanism.The EIE-MATD3 algorithm is used to tune the coefficients of the FOPI controllers in real time using centralized training and decentralized execution.The algorithm incorporates imitation learning and efficient integration exploration to obtain a more robust coordinated control strategy.An experiment on the four-area China Southern Grid(CSG)real-time digital system shows that the proposed method can improve the control performance and reduce the regulation mileage payment of each area in the IES.
文摘目的:观察基于补肾健脾法拟定的中药汤剂补肾健脾活血方对多囊卵巢综合征伴胰岛素抵抗(PCOS-IR)模型大鼠的干预作用,并从磷脂酰肌醇3-激酶/蛋白激酶B/核因子κB(PI3K/Akt/NF-κB)信号通路探讨其作用机制。方法:将30只雌性SD大鼠随机分为正常组6只和造模组24只,造模组采用高脂饮食联合来曲唑灌胃法构建PCOS-IR模型。造模组所有大鼠均造模成功,将造模成功的24只大鼠随机分为模型组、阳性药物组(二甲双胍,每日给药量0.195 g/kg)和补肾健脾活血方低剂量组(每日给药量14.3 g/kg)、高剂量组(每日给药量28.6 g/kg),每组6只。各治疗组大鼠每日灌胃给予相应药物,模型组与正常组大鼠每日灌胃给予等量生理盐水,均每日1次,连续14 d。末次给药结束后当天下午4时起各组大鼠禁食不禁水,第2日上午9时开始进行取材和指标检测。尾尖取血,使用血糖仪检测空腹血糖(FBG);眼眶静脉取血,采用酶联免疫吸附(ELISA)法检测空腹胰岛素(FINS),计算胰岛素抵抗指数(HOMA-IR);运用苏木精-伊红(HE)染色法观察各组大鼠卵巢组织病理形态;采用实时荧光定量聚合酶链式反应(q PCR)法检测各组大鼠卵巢组织PI3K、Akt、NF-кB抑制蛋白激酶(IKK)、NF-κB、NF-κB抑制因子(IκB)m RNA表达水平。结果:模型组大鼠FINS、FBG、HOMAIR水平均明显高于正常组(P<0.05,P<0.01);阳性药物组大鼠上述指标水平均明显低于模型组(P<0.05),补肾健脾活血方低、高剂量组大鼠FINS、HOMA-IR水平均显著低于模型组(P<0.01);阳性药物组大鼠FINS水平明显高于补肾健脾活血方低、高剂量组(P<0.05),FBG水平明显低于补肾健脾活血方低、高剂量组(P<0.05);上述各指标补肾健脾活血方低、高剂量组组间比较,差异均无统计学意义(P>0.05)。正常组大鼠卵巢结构完整,可见各级发育卵泡及黄体;模型组大鼠卵巢组织呈典型PCOS-IR病理改变,即白膜增厚、皮质纤维化、囊状卵泡增多、黄体减少及闭锁卵泡增加;各给药组病理表现相似,均较模型组有不同程度改善,表现为囊状卵泡减少、闭锁卵泡减少,卵巢结构趋于恢复正常。模型组大鼠卵巢组织PI3K、Akt m RNA表达明显低于正常组(P<0.01),IKK、IκB、NF-κB m RNA表达明显高于正常组(P<0.05,P<0.01);补肾健脾活血方高剂量组大鼠上述指标较模型组均有明显改善(P<0.05,P<0.01),阳性药物组、补肾健脾活血方低剂量组Akt m RNA表达明显高于模型组(P<0.05);补肾健脾活血方高剂量组PI3K、Akt m RNA表达明显高于低剂量组和阳性药物组(P<0.05,P<0.01),IKK、NF-κB m RNA表达明显低于低剂量组和阳性药物组(P<0.05,P<0.01)。结论:补肾健脾活血方能有效改善PCOS-IR大鼠的胰岛素抵抗及卵巢多囊样病变,其机制可能与激活PI3K/Akt信号并抑制IKK/NF-κB通路有关。
