The exchange of information and materials between organelles plays a crucial role in regulating cellular physiological functions and metabolic levels.Mitochondria-associated endoplasmic reticulum membranes serve as ph...The exchange of information and materials between organelles plays a crucial role in regulating cellular physiological functions and metabolic levels.Mitochondria-associated endoplasmic reticulum membranes serve as physical contact channels between the endoplasmic reticulum membrane and the mitochondrial outer membrane,formed by various proteins and protein complexes.This microstructural domain mediates several specialized functions,including calcium(Ca^(2+))signaling,autophagy,mitochondrial morphology,oxidative stress response,and apoptosis.Notably,the dysregulation of Ca^(2+)signaling mediated by mitochondria-associated endoplasmic reticulum membranes is a critical factor in the pathogenesis of neurological diseases.Certain proteins or protein complexes within these membranes directly or indirectly regulate the distance between the endoplasmic reticulum and mitochondria,as well as the transduction of Ca^(2+)signaling.Conversely,Ca^(2+)signaling mediated by mitochondria-associated endoplasmic reticulum membranes influences other mitochondria-associated endoplasmic reticulum membraneassociated functions.These functions can vary significantly across different neurological diseases—such as ischemic stroke,traumatic brain injury,Alzheimer's disease,Parkinson's disease,amyotrophic lateral sclerosis,and Huntington's disease—and their respective stages of progression.Targeted modulation of these disease-related pathways and functional proteins can enhance neurological function and promote the regeneration and repair of damaged neurons.Therefore,mitochondria-associated endoplasmic reticulum membranes-mediated Ca^(2+)signaling plays a pivotal role in the pathological progression of neurological diseases and represents a significant potential therapeutic target.This review focuses on the effects of protein complexes in mitochondria-associated endoplasmic reticulum membranes and the distinct roles of mitochondria-associated endoplasmic reticulum membranes-mediated Ca^(2+)signaling in neurological diseases,specifically highlighting the early protective effects and neuronal damage that can result from prolonged mitochondrial Ca^(2+)overload or deficiency.This article provides a comprehensive analysis of the various mechanisms of Ca^(2+)signaling mediated by mitochondria-associated endoplasmic reticulum membranes in neurological diseases,contributing to the exploration of potential therapeutic targets for promoting neuroprotection and nerve repair.展开更多
As a food consumed worldwide,ginger is often sulfur-fumigated.Sulfur-fumigated ginger is harmful to health.However,traditional methods to detect sulfur-fumigated ginger are expensive and unpractical for the general pu...As a food consumed worldwide,ginger is often sulfur-fumigated.Sulfur-fumigated ginger is harmful to health.However,traditional methods to detect sulfur-fumigated ginger are expensive and unpractical for the general public.In this paper,we present an efficient and convenient identification method based on image processing.First,rapid detection kits were employed to mark three levels of sulfur-fumigated gingers,and the RGB images of the gingers of each sulfur-fumigated level are collected.Second,the brightness and texture features were extracted from the images.Three machine learning methods,Support Vector Machine,Back Propagation Neural Network and Random Forest,were applied to establish prediction models.Third,the accuracy of each model was calculated and different weights were assigned for different models.Finally,models with different weights determined whether the ginger was sulfur-fumigated or non-sulfur-fumigated,and then the results were summarized to establish the final identification model.The experimental results show that the proposed method is robust.When the training set occupies 90%,the prediction accuracy is up to 100%.When the training set only occupies 10%,the accuracy remains high at 80%.Meanwhile,the proposed method is more competitive than other methods in terms of accuracy.展开更多
基金supported by Yunnan Province Innovation Team of Prevention and Treatment for Brain Disease with Acupuncture and Tuina,No.202405AS350007Youth Top Talent Project of 10-thousand Talent Plan in Yunnan Province,No.YNWR-QNBJ-2018-345+3 种基金the National Natural Science Foundation of China,No.81960731Joint Special Project of Traditional Chinese Medicine in Science and Technology Department of Yunnan Province,Nos.2019FF002[-008],202001AZ070001-002 and 202001AZ070001-030Yunnan Province University Innovation Team Projects No.2019YGC04Yunnan Province Project Education Fund,Nos.2024Y406,2024Y414(all to PZ)。
文摘The exchange of information and materials between organelles plays a crucial role in regulating cellular physiological functions and metabolic levels.Mitochondria-associated endoplasmic reticulum membranes serve as physical contact channels between the endoplasmic reticulum membrane and the mitochondrial outer membrane,formed by various proteins and protein complexes.This microstructural domain mediates several specialized functions,including calcium(Ca^(2+))signaling,autophagy,mitochondrial morphology,oxidative stress response,and apoptosis.Notably,the dysregulation of Ca^(2+)signaling mediated by mitochondria-associated endoplasmic reticulum membranes is a critical factor in the pathogenesis of neurological diseases.Certain proteins or protein complexes within these membranes directly or indirectly regulate the distance between the endoplasmic reticulum and mitochondria,as well as the transduction of Ca^(2+)signaling.Conversely,Ca^(2+)signaling mediated by mitochondria-associated endoplasmic reticulum membranes influences other mitochondria-associated endoplasmic reticulum membraneassociated functions.These functions can vary significantly across different neurological diseases—such as ischemic stroke,traumatic brain injury,Alzheimer's disease,Parkinson's disease,amyotrophic lateral sclerosis,and Huntington's disease—and their respective stages of progression.Targeted modulation of these disease-related pathways and functional proteins can enhance neurological function and promote the regeneration and repair of damaged neurons.Therefore,mitochondria-associated endoplasmic reticulum membranes-mediated Ca^(2+)signaling plays a pivotal role in the pathological progression of neurological diseases and represents a significant potential therapeutic target.This review focuses on the effects of protein complexes in mitochondria-associated endoplasmic reticulum membranes and the distinct roles of mitochondria-associated endoplasmic reticulum membranes-mediated Ca^(2+)signaling in neurological diseases,specifically highlighting the early protective effects and neuronal damage that can result from prolonged mitochondrial Ca^(2+)overload or deficiency.This article provides a comprehensive analysis of the various mechanisms of Ca^(2+)signaling mediated by mitochondria-associated endoplasmic reticulum membranes in neurological diseases,contributing to the exploration of potential therapeutic targets for promoting neuroprotection and nerve repair.
基金the National Key Research and Development Project of China(No.2020YFD1104100)the National Natural Science Foundation of China(Nos.82204770,62101268,82074580)+4 种基金the Youth Science Foundation of Jiangsu Province(No.BK20210696)the Future Network Scientific Research Fund Project(No.FNSRFP-2021-ZD-24)the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(No.20KJB510021)China Agriculture Research System of MOF and MARA(No.CARS-21)Jiangsu Province 333 High-level Talents Training Project,and the‘Qing Lan Project'in colleges and universities in Jiangsu,China.
文摘As a food consumed worldwide,ginger is often sulfur-fumigated.Sulfur-fumigated ginger is harmful to health.However,traditional methods to detect sulfur-fumigated ginger are expensive and unpractical for the general public.In this paper,we present an efficient and convenient identification method based on image processing.First,rapid detection kits were employed to mark three levels of sulfur-fumigated gingers,and the RGB images of the gingers of each sulfur-fumigated level are collected.Second,the brightness and texture features were extracted from the images.Three machine learning methods,Support Vector Machine,Back Propagation Neural Network and Random Forest,were applied to establish prediction models.Third,the accuracy of each model was calculated and different weights were assigned for different models.Finally,models with different weights determined whether the ginger was sulfur-fumigated or non-sulfur-fumigated,and then the results were summarized to establish the final identification model.The experimental results show that the proposed method is robust.When the training set occupies 90%,the prediction accuracy is up to 100%.When the training set only occupies 10%,the accuracy remains high at 80%.Meanwhile,the proposed method is more competitive than other methods in terms of accuracy.
