The endoplasmic reticulum(ER)is connected to mitochondria through mitochondria-associated ER membranes(MAMs).MAMs provide a framework for crosstalk between the ER and mitochondria,playing a crucial role in regulating ...The endoplasmic reticulum(ER)is connected to mitochondria through mitochondria-associated ER membranes(MAMs).MAMs provide a framework for crosstalk between the ER and mitochondria,playing a crucial role in regulating cellular calcium balance,lipid metabolism,and cell death.Dysregulation of MAMs is involved in the development of chronic liver disease(CLD).In CLD,changes in MAMs structure and function occur due to factors such as cellular stress,inflammation,and oxidative stress,leading to abnormal interactions between mitochondria and the ER,resulting in liver cell injury,fibrosis,and impaired liver function.Traditional Chinese medicine has shown some research progress in regulating MAMs signaling and treating CLD.This paper reviews the literature on the association between mitochondria and the ER,as well as the intervention of traditional Chinese medicine in regulating CLD.展开更多
Fibronectin containing extra domain A（EDA~＋ FN）,a functional glycoprotein participating in several cellular processes,correlates with chronic liver disease.Herein,we aim to investigate the expression and secretion ...Fibronectin containing extra domain A（EDA~＋ FN）,a functional glycoprotein participating in several cellular processes,correlates with chronic liver disease.Herein,we aim to investigate the expression and secretion of EDA~＋ FN from hepatocytes in nonalcoholic fatty liver disease（NAFLD） and the underlying mechanisms.Circulating levels of EDA~＋ FN were determined by ELISA in clinical samples.Western blotting and flow cytometry were performed on L02 and Hep G2 cell lines to analyze whether the levels of EDA~＋ FN were associated with endoplasmic reticulum（ER） stress-related cell death.Circulating levels of EDA~＋ FN in NAFLD patients were significantly higher than those in control subjects,and positively related with severity of ultrasonographic steatosis score.In cultured hepatocytes,palmitate up-regulated the expression of EDA~＋ FN in a dose-dependent manner.Conversely,when the cells were pretreated with 4-phenylbutyrate,a specific inhibitor of ER stress,up-regulation of EDA~＋ FN could be abrogated.Moreover,silencing CHOP by sh RNA enhanced the release of EDA~＋ FN from hepatocytes following palmitate treatment,which was involved in ER stress-related cell damage.These findings suggest that the up-regulated level of EDA~＋ FN is associated with liver damage in NAFLD,and ER stress-mediated cell damage contributes to the release of EDA~＋ FN from hepatocytes.展开更多
Parkinson’s disease is identified as one of the key neurodegenerative disorders occurring due to the damages present in the central nervous system.The cause of such brain damage seems to be fully explained in many res...Parkinson’s disease is identified as one of the key neurodegenerative disorders occurring due to the damages present in the central nervous system.The cause of such brain damage seems to be fully explained in many research studies,but the understanding of its functionality remains to be impractical.Specifically,the development of a quantitative disease prediction model has evolved in recent decades.Moreover,accelerometer sensor-based gait analysis is accepted as an important tool for recognizing the walking behavior of the patients during the early prediction and diagnosis of Parkinson’s disease.This type of minimal infrastructure equipment helps in analyzing the Parkinson’s gait properties without affecting the common behavioral patterns during the clinical practices.Therefore,the Accelerometer Sensor-based Parkinson’s Disease Identi-fication System(ASPDIS)is introduced with a kernel-based support vector machine classifier model to make an early prediction of the disease.consequently,the proposed classifier can easily predict various severity levels of Parkinson’s disease from the sensor data.The performance of the proposed classifier is com-pared against the existing models such as random forest,decision tree,and k-near-est neighbor classifiers respectively.As per the experimental observation,the proposed classifier has more capability to differentiate Parkinson’s from non-Parkinson patients depending upon the severity levels.Also,it is found that the model has outperformed the existing classifiers concerning prediction time and accuracy respectively.展开更多
基金Supported by the National Natural Science Foundation of China,No.82204755,and No.81960751the Guangxi Natural Science Foundation Youth Project,No.2023GXNSFBA026274+1 种基金the Guangxi University of Traditional Chinese Medicine School-level Project Youth Fund,No.2022QN008Faculty of Chinese Medicine Science Guangxi University of Chinese Medicine Research Project,No.2022MS008 and No.2022QJ001.
文摘The endoplasmic reticulum(ER)is connected to mitochondria through mitochondria-associated ER membranes(MAMs).MAMs provide a framework for crosstalk between the ER and mitochondria,playing a crucial role in regulating cellular calcium balance,lipid metabolism,and cell death.Dysregulation of MAMs is involved in the development of chronic liver disease(CLD).In CLD,changes in MAMs structure and function occur due to factors such as cellular stress,inflammation,and oxidative stress,leading to abnormal interactions between mitochondria and the ER,resulting in liver cell injury,fibrosis,and impaired liver function.Traditional Chinese medicine has shown some research progress in regulating MAMs signaling and treating CLD.This paper reviews the literature on the association between mitochondria and the ER,as well as the intervention of traditional Chinese medicine in regulating CLD.
基金supported by the National Natural Science Foundation of China(No.81300304 and No.31271855)
文摘Fibronectin containing extra domain A（EDA~＋ FN）,a functional glycoprotein participating in several cellular processes,correlates with chronic liver disease.Herein,we aim to investigate the expression and secretion of EDA~＋ FN from hepatocytes in nonalcoholic fatty liver disease（NAFLD） and the underlying mechanisms.Circulating levels of EDA~＋ FN were determined by ELISA in clinical samples.Western blotting and flow cytometry were performed on L02 and Hep G2 cell lines to analyze whether the levels of EDA~＋ FN were associated with endoplasmic reticulum（ER） stress-related cell death.Circulating levels of EDA~＋ FN in NAFLD patients were significantly higher than those in control subjects,and positively related with severity of ultrasonographic steatosis score.In cultured hepatocytes,palmitate up-regulated the expression of EDA~＋ FN in a dose-dependent manner.Conversely,when the cells were pretreated with 4-phenylbutyrate,a specific inhibitor of ER stress,up-regulation of EDA~＋ FN could be abrogated.Moreover,silencing CHOP by sh RNA enhanced the release of EDA~＋ FN from hepatocytes following palmitate treatment,which was involved in ER stress-related cell damage.These findings suggest that the up-regulated level of EDA~＋ FN is associated with liver damage in NAFLD,and ER stress-mediated cell damage contributes to the release of EDA~＋ FN from hepatocytes.
文摘Parkinson’s disease is identified as one of the key neurodegenerative disorders occurring due to the damages present in the central nervous system.The cause of such brain damage seems to be fully explained in many research studies,but the understanding of its functionality remains to be impractical.Specifically,the development of a quantitative disease prediction model has evolved in recent decades.Moreover,accelerometer sensor-based gait analysis is accepted as an important tool for recognizing the walking behavior of the patients during the early prediction and diagnosis of Parkinson’s disease.This type of minimal infrastructure equipment helps in analyzing the Parkinson’s gait properties without affecting the common behavioral patterns during the clinical practices.Therefore,the Accelerometer Sensor-based Parkinson’s Disease Identi-fication System(ASPDIS)is introduced with a kernel-based support vector machine classifier model to make an early prediction of the disease.consequently,the proposed classifier can easily predict various severity levels of Parkinson’s disease from the sensor data.The performance of the proposed classifier is com-pared against the existing models such as random forest,decision tree,and k-near-est neighbor classifiers respectively.As per the experimental observation,the proposed classifier has more capability to differentiate Parkinson’s from non-Parkinson patients depending upon the severity levels.Also,it is found that the model has outperformed the existing classifiers concerning prediction time and accuracy respectively.
