Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-targe...Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the“therapeutic module”of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.展开更多
The deep learning model is overfitted and the accuracy of the test set is reduced when the deep learning model is trained in the network intrusion detection parameters, due to the traditional loss function convergence...The deep learning model is overfitted and the accuracy of the test set is reduced when the deep learning model is trained in the network intrusion detection parameters, due to the traditional loss function convergence problem. Firstly, we utilize a network model architecture combining Gelu activation function and deep neural network;Secondly, the cross-entropy loss function is improved to a weighted cross entropy loss function, and at last it is applied to intrusion detection to improve the accuracy of intrusion detection. In order to compare the effect of the experiment, the KDDcup99 data set, which is commonly used in intrusion detection, is selected as the experimental data and use accuracy, precision, recall and F1-score as evaluation parameters. The experimental results show that the model using the weighted cross-entropy loss function combined with the Gelu activation function under the deep neural network architecture improves the evaluation parameters by about 2% compared with the ordinary cross-entropy loss function model. Experiments prove that the weighted cross-entropy loss function can enhance the model’s ability to discriminate samples.展开更多
The Plant Physiology is characterized by wide coverage,strong theories and practicality,and limited class hour.In view of these characteristics,this paper introduced the reform of teaching methods,including reform of ...The Plant Physiology is characterized by wide coverage,strong theories and practicality,and limited class hour.In view of these characteristics,this paper introduced the reform of teaching methods,including reform of teaching content,reform of teaching methods and means,reform of experimental teaching and examination methods.It is expected to achieve the objective of improving the teaching effect of Plant Physiology.展开更多
Over the past thirty years,the importance of chemokines and their seven-transmembrane G protein-coupled receptors(GPCRs)has been increasingly recognized.Chemokine interactions with receptors trigger signaling pathway ...Over the past thirty years,the importance of chemokines and their seven-transmembrane G protein-coupled receptors(GPCRs)has been increasingly recognized.Chemokine interactions with receptors trigger signaling pathway activity to form a network fundamental to diverse immune processes,including host homeostasis and responses to disease.Genetic and nongenetic regulation of both the expression and structure of chemokines and receptors conveys chemokine functional heterogeneity.Imbalances and defects in the system contribute to the pathogenesis of a variety of diseases,including cancer,immune and inflammatory diseases,and metabolic and neurological disorders,which render the system a focus of studies aiming to discover therapies and important biomarkers.The integrated view of chemokine biology underpinning divergence and plasticity has provided insights into immune dysfunction in disease states,including,among others,coronavirus disease 2019(COVID-19).In this review,by reporting the latest advances in chemokine biology and results fromanalyses of a plethora of sequencing-based datasets,we outline recent advances in the understanding of the genetic variations and nongenetic heterogeneity of chemokines and receptors and provide an updated view of their contribution to the pathophysiological network,focusing on chemokine-mediated inflammation and cancer.Clarification of the molecular basis of dynamic chemokine-receptor interactions will help advance the understanding of chemokine biology to achieve precision medicine application in the clinic.展开更多
Dear Editor,The field of gut microbiota is progressing rapidly and thus,appellations like the last human organ,a separate organ,a forgotten organ,and a new organ have been applied to gut microbiota to emphasize its vi...Dear Editor,The field of gut microbiota is progressing rapidly and thus,appellations like the last human organ,a separate organ,a forgotten organ,and a new organ have been applied to gut microbiota to emphasize its vital functions in our body(Chang and Kao,2019).Gut microbiota has been shown to play a central role in the regulation of human lipid metabolism and be associated with lipid metabolism disorders when aberrant,through composition and microbial metabolites.展开更多
It is crucial to understand the glucose control within our bodies.Bariatric/metabolic surgeries,including laparoscopic sleeve gastrec-tomy(LSG)and Roux-en-Y gastric bypass(RYGB),provide an avenue for exploring the pot...It is crucial to understand the glucose control within our bodies.Bariatric/metabolic surgeries,including laparoscopic sleeve gastrec-tomy(LSG)and Roux-en-Y gastric bypass(RYGB),provide an avenue for exploring the potential key factors involved in maintaining glucose homeostasis since these surgeries have shown promising results in improving glycemic control among patients with severe type 2 diabetes(T2D).For the first time,a markedly altered population of serum proteins in patients after LSG was discovered and analyzed through proteomics.Apolipoprotein A-IV(apoA-IV)was revealed to be increased dramatically in diabetic obese patients following LSG,and a similar effect was observed in patients after RYGB surgery.Moreover,recombinant apoA-IV protein treatment was proven to enhance insulin secretion in isolated human islets.These results showed that apoA-IV may play a crucial role in gly-cemic control in humans,potentially through enhancing insulin secretion in human islets.ApoA-IV was further shown to enhance energy expenditure and improve glucose tolerance in diabetic rodents,through stimulating glucose-dependent insulin secretion in pancreaticβcells,partially via Gαs-coupled GPCR/cAMP(G protein-coupled receptor/cyclic adenosine monophosphate)signaling.Furthermore,T55-121,truncated peptide 55-121 of apoA-IV,was discovered to mediate the function of apoA-IV.These collective findings contribute to our understanding of the relationship between apoA-IV and glycemic control,highlighting its potential as a biomarker or therapeutic target in managing and improving glucose regulation.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.:32271292,31872723,32200778,and 22377089)the Jiangsu Students Innovation and Entrepre-neurship Training Program,China(Program No.:202210285081Z)+6 种基金the Project of MOE Key Laboratory of Geriatric Diseases and Immunology,China(Project No.:JYN202404)Proj-ect Funded by the Priority Academic Program Development(PAPD)of Jiangsu Higher Education Institutions,Natural Science Foundation of Jiangsu Province,China(Project No.:BK20220494)Suzhou Medical and Health Technology Innovation Project,China(Grant No.:SKY2022107)the Clinical Research Center of Neuro-logical Disease in The Second Affiliated Hospital of Soochow University,China(Grant No.:ND2022A04)State Key Laboratory of Drug Research(Grant No.:SKLDR-2023-KF-05)Jiangsu Shuang-chuang Program for Doctor,Young Science Talents Promotion Project of Jiangsu Science and Technology Association(Program No.:TJ-2023-019)Young Science Talents Promotion Project of Suzhou Science and Technology Association,Suzhou International Joint Laboratory for Diagnosis and Treatment of Brain Diseases,and startup funding(Grant Nos.:NH21500221,NH21500122,and NH21500123)to Qifei Cong.
摘要Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the“therapeutic module”of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.
摘要The deep learning model is overfitted and the accuracy of the test set is reduced when the deep learning model is trained in the network intrusion detection parameters, due to the traditional loss function convergence problem. Firstly, we utilize a network model architecture combining Gelu activation function and deep neural network;Secondly, the cross-entropy loss function is improved to a weighted cross entropy loss function, and at last it is applied to intrusion detection to improve the accuracy of intrusion detection. In order to compare the effect of the experiment, the KDDcup99 data set, which is commonly used in intrusion detection, is selected as the experimental data and use accuracy, precision, recall and F1-score as evaluation parameters. The experimental results show that the model using the weighted cross-entropy loss function combined with the Gelu activation function under the deep neural network architecture improves the evaluation parameters by about 2% compared with the ordinary cross-entropy loss function model. Experiments prove that the weighted cross-entropy loss function can enhance the model’s ability to discriminate samples.
基金Supported by the Program of Study on Teaching Reform and Practice of Plant Physiology of Northwest A&F University(JY1504059)
摘要The Plant Physiology is characterized by wide coverage,strong theories and practicality,and limited class hour.In view of these characteristics,this paper introduced the reform of teaching methods,including reform of teaching content,reform of teaching methods and means,reform of experimental teaching and examination methods.It is expected to achieve the objective of improving the teaching effect of Plant Physiology.
基金the National Natural Science Foundation of China(NSFC Grant No.81872021,32200462)Beijing Jiaotong University undergraduate innovation and entrepreneurship training project(No.220171097,220171072,220171037,220171088,220171104)+3 种基金R&D Program of Beijing Municipal Education Commission(Grant No.KM202110025004)Beijing Hospitals Authority Youth Programme(grant No.QML20231602)JH,KC and JMW were also funded in part by Federal funds from the National Cancer Institute,National Institutes of Health(under Contract No.HHSN261200800001E)the Intramural Research Programs of the NCI,CCR,and NIH.
摘要Over the past thirty years,the importance of chemokines and their seven-transmembrane G protein-coupled receptors(GPCRs)has been increasingly recognized.Chemokine interactions with receptors trigger signaling pathway activity to form a network fundamental to diverse immune processes,including host homeostasis and responses to disease.Genetic and nongenetic regulation of both the expression and structure of chemokines and receptors conveys chemokine functional heterogeneity.Imbalances and defects in the system contribute to the pathogenesis of a variety of diseases,including cancer,immune and inflammatory diseases,and metabolic and neurological disorders,which render the system a focus of studies aiming to discover therapies and important biomarkers.The integrated view of chemokine biology underpinning divergence and plasticity has provided insights into immune dysfunction in disease states,including,among others,coronavirus disease 2019(COVID-19).In this review,by reporting the latest advances in chemokine biology and results fromanalyses of a plethora of sequencing-based datasets,we outline recent advances in the understanding of the genetic variations and nongenetic heterogeneity of chemokines and receptors and provide an updated view of their contribution to the pathophysiological network,focusing on chemokine-mediated inflammation and cancer.Clarification of the molecular basis of dynamic chemokine-receptor interactions will help advance the understanding of chemokine biology to achieve precision medicine application in the clinic.
基金supported by the National Natural Science Foundation of China(Grant Nos.91857201 and 91954108)the Ministry of Science and Technology of the People's Republic of China(Grant Nos.2018YFA0800700,2018YFA0800900).
摘要Dear Editor,The field of gut microbiota is progressing rapidly and thus,appellations like the last human organ,a separate organ,a forgotten organ,and a new organ have been applied to gut microbiota to emphasize its vital functions in our body(Chang and Kao,2019).Gut microbiota has been shown to play a central role in the regulation of human lipid metabolism and be associated with lipid metabolism disorders when aberrant,through composition and microbial metabolites.
基金supported by the National Natural Science Foundation of China(92357302,32170787,and 32100557)the National Key Research and Development Program of China(2018YFA0800700,2023YFA1801103,and 2018YFA0800900)Researches on human islets were supported by the National Natural Science Foundation of Tianjin Municipal Human Resources and Social Security Bureau(XB202011).
摘要It is crucial to understand the glucose control within our bodies.Bariatric/metabolic surgeries,including laparoscopic sleeve gastrec-tomy(LSG)and Roux-en-Y gastric bypass(RYGB),provide an avenue for exploring the potential key factors involved in maintaining glucose homeostasis since these surgeries have shown promising results in improving glycemic control among patients with severe type 2 diabetes(T2D).For the first time,a markedly altered population of serum proteins in patients after LSG was discovered and analyzed through proteomics.Apolipoprotein A-IV(apoA-IV)was revealed to be increased dramatically in diabetic obese patients following LSG,and a similar effect was observed in patients after RYGB surgery.Moreover,recombinant apoA-IV protein treatment was proven to enhance insulin secretion in isolated human islets.These results showed that apoA-IV may play a crucial role in gly-cemic control in humans,potentially through enhancing insulin secretion in human islets.ApoA-IV was further shown to enhance energy expenditure and improve glucose tolerance in diabetic rodents,through stimulating glucose-dependent insulin secretion in pancreaticβcells,partially via Gαs-coupled GPCR/cAMP(G protein-coupled receptor/cyclic adenosine monophosphate)signaling.Furthermore,T55-121,truncated peptide 55-121 of apoA-IV,was discovered to mediate the function of apoA-IV.These collective findings contribute to our understanding of the relationship between apoA-IV and glycemic control,highlighting its potential as a biomarker or therapeutic target in managing and improving glucose regulation.