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Do reactive oxygen species damage or protect the heart in ischemia and reperfusion?Analysis on experimental and clinical data 被引量:1
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作者 Leonid N.maslov Natalia V.Naryzhnaya +9 位作者 maria Sirotina Alexandr V.Mukhomedzyanov Boris K.Kurbatov Alla A.Boshchenko huijie ma Yi Zhang Feng Fu Jianming Pei Viacheslav N.Azev Vladimir A.Pereverzev 《The Journal of Biomedical Research》 CAS CSCD 2023年第4期255-267,共13页
The role of reactive oxygen species(ROS)in ischemic and reperfusion(I/R)injury of the heart has been discussed for more than 40 years.It has been demonstrated that reperfusion triggers a multiple increase in free radi... The role of reactive oxygen species(ROS)in ischemic and reperfusion(I/R)injury of the heart has been discussed for more than 40 years.It has been demonstrated that reperfusion triggers a multiple increase in free radical generation in the isolated heart.Antioxidants were found to have the ability to mitigate I/R injury of the heart.However,it is unclear whether their cardioprotective effect truly depends on the decrease of ROS levels in myocardial tissues.Since high doses and high concentrations of antioxidants were experimentally used,it is highly likely that the cardioprotective effect of antioxidants depends on their interaction not only with free radicals but also with other molecules.It has been demonstrated that the antioxidant N-2-mercaptopropionyl glycine or NDPH oxidase knockout abolished the cardioprotective effect of ischemic preconditioning.Consequently,there is evidence that ROS protect the heart against the I/R injury. 展开更多
关键词 reactive oxygen species free radicals ANTIOXIDANTS HEART REPERFUSION patients
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The effect of an adaptation to hypoxia on cardiac tolerance to ischemia/reperfusion 被引量:1
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作者 Natalia V.Naryzhnaya Leonid N.maslov +8 位作者 Ivan A.Derkachev huijie ma Yi Zhang NRajendra Prasad Nirmal Singh Feng Fu Jianming Pei Akpay Sarybaev Akylbek Sydykov 《The Journal of Biomedical Research》 CAS CSCD 2023年第4期230-254,共25页
The acute myocardial infarction(AMI)and sudden cardiac death(SCD),both associated with acute cardiac ischemia,are one of the leading causes of adult death in economically developed countries.The development of new app... The acute myocardial infarction(AMI)and sudden cardiac death(SCD),both associated with acute cardiac ischemia,are one of the leading causes of adult death in economically developed countries.The development of new approaches for the treatment and prevention of AMI and SCD remains the highest priority for medicine.A study on the cardiovascular effects of chronic hypoxia(CH)may contribute to the development of these methods.Chronic hypoxia exerts both positive and adverse effects.The positive effects are the infarct-reducing,vasoprotective,and antiarrhythmic effects,which can lead to the improvement of cardiac contractility in reperfusion.The adverse effects are pulmonary hypertension and right ventricular hypertrophy.This review presents a comprehensive overview of how CH enhances cardiac tolerance to ischemia/reperfusion.It is an in-depth analysis of the published data on the underlying mechanisms,which can lead to future development of the cardioprotective effect of CH.A better understanding of the CH-activated protective signaling pathways may contribute to new therapeutic approaches in an increase of cardiac tolerance to ischemia/reperfusion. 展开更多
关键词 HEART VESSELS infarct size ARRHYTHMIAS chronic hypoxia
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Intrinsic component filtering for fault diagnosis of rotating machinery 被引量:3
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作者 Zongzhen ZHANG Shunming LI +2 位作者 Jiantao LU Yu XIN huijie ma 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2021年第1期397-409,共13页
Fault diagnosis of rotating machinery has always drawn wide attention.In this paper,Intrinsic Component Filtering(ICF),which achieves population sparsity and lifetime consistency using two constraints:l1=2 norm of col... Fault diagnosis of rotating machinery has always drawn wide attention.In this paper,Intrinsic Component Filtering(ICF),which achieves population sparsity and lifetime consistency using two constraints:l1=2 norm of column features and l3=2-norm of row features,is proposed for the machinery fault diagnosis.ICF can be used as a feature learning algorithm,and the learned features can be fed into the classification to achieve the automatic fault classification.ICF can also be used as a filter training method to extract and separate weak fault components from the noise signals without any prior experience.Simulated and experimental signals of bearing fault are used to validate the performance of ICF.The results confirm that ICF performs superior in three fault diagnosis fields including intelligent fault diagnosis,weak signature detection and compound fault separation. 展开更多
关键词 Compound fault separation Intelligent fault diagnosis Intrinsic component filtering Unsupervised learning Weak signature detection
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Structured sparsity assisted online convolution sparse coding and its application on weak signature detection
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作者 huijie ma Shunming LI +2 位作者 Jiantao LU Zongzhen ZHANG Siqi GONG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2022年第1期266-276,共11页
Due to the strong background noise and the acquisition system noise,the useful characteristics are often difficult to be detected.To solve this problem,sparse coding captures a concise representation of the high-level... Due to the strong background noise and the acquisition system noise,the useful characteristics are often difficult to be detected.To solve this problem,sparse coding captures a concise representation of the high-level features in the signal using the underlying structure of the signal.Recently,an Online Convolutional Sparse Coding(OCSC)denoising algorithm has been proposed.However,it does not consider the structural characteristics of the signal,the sparsity of each iteration is not enough.Therefore,a threshold shrinkage algorithm considering neighborhood sparsity is proposed,and a training strategy from loose to tight is developed to further improve the denoising performance of the algorithm,called Variable Threshold Neighborhood Online Convolution Sparse Coding(VTNOCSC).By embedding the structural sparse threshold shrinkage operator into the process of solving the sparse coefficient and gradually approaching the optimal noise separation point in the training,the signal denoising performance of the algorithm is greatly improved.VTNOCSC is used to process the actual bearing fault signal,the noise interference is successfully reduced and the interest features are more evident.Compared with other existing methods,VTNOCSC has better denoising performance. 展开更多
关键词 Dictionary learning Online convolutional sparse coding(OCSC) Signal denoising Signal processing Weak signature detection
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