OBJECTIVE:To explore the mechanism of Baitouweng Tang(白头翁汤,Pulsatilla decoction,PD)alleviates dextran sulfate sodium(DSS)-induced ulcerative colitis(UC)in mice by integrating network pharmacology prediction with e...OBJECTIVE:To explore the mechanism of Baitouweng Tang(白头翁汤,Pulsatilla decoction,PD)alleviates dextran sulfate sodium(DSS)-induced ulcerative colitis(UC)in mice by integrating network pharmacology prediction with experimental validation,focusing on the modulation of inflammatory signaling.METHODS:A chronic UC model was induced in C57BL/6 mice by cyclical administration of DSS.Mice were treated with either a low(15 m L/kg)or high(30 m L/kg)dose of PD.Disease severity was assessed clinically and via histopathology.Serum levels of inflammatory cytokines were quantified.A network pharmacology approach was employed to predict the core targets and pathways of PD against UC.Key predictions concerning the toll-like receptor 4/nuclear factor-kappa B(TLR4/NF-κB)pathway were subsequently verified in colonic tissue using quantitative polymerase chain reaction and Western blotting.RESULTS:PD treatment significantly ameliorated DSSinduced UC symptoms,including reducing disease activity,preventing colon shortening,and improving histological architecture.PD effectively rebalanced the systemic inflammatory milieu by decreasing proinflammatory cytokines interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)and elevating anti-inflammatory cytokines interleukin-10(IL-10).Network pharmacology analysis identified the TLR4/NF-κB signaling pathway as a central target.Experimental validation confirmed that PD markedly suppressed the upregulation of both TLR4 and NF-κB at the transcriptional and protein levels in the inflamed colon.CONCLUSION:PD demonstrates protective effects against experimental UC.Its mechanism is associated with the inhibition of the TLR4/NF-κB signaling pathway and the subsequent attenuation of inflammatory responses.This study provides a modern pharmacological basis for the classical application of PD in treating heat-toxin related intestinal disorders,bridging traditional use and mechanistic understanding.展开更多
OBJECTIVE:To elucidate the therapeutic efficacy and mechanism of action of Chaihu Guizhi Ganjiang decoction(柴胡桂枝干姜汤,CGGD)in autoimmune hepatitis.METHODS:CGGD components and potential target genes were extracted...OBJECTIVE:To elucidate the therapeutic efficacy and mechanism of action of Chaihu Guizhi Ganjiang decoction(柴胡桂枝干姜汤,CGGD)in autoimmune hepatitis.METHODS:CGGD components and potential target genes were extracted from previously published databases.The autoimmune hepatitis(AIH)-related regulatory genes were obtained from the Dis Ge NET database.Intersections were taken,and enrichment analyses were performed on the extracted data.Concanavalin A(Con A)-induced AIH model mice were treated with CGGD via gavage.The results of network pharmacological analysis were experimentally validated.RESULTS:Network pharmacology revealed 228 genes at the intersection of AIH and CGGD.Kyoto Encyclopedia of Genes and Genomes analysis revealed that CGGD primarily regulates the phosphoinositide 3-kinase(PI3K)/protein kinase B(AKT)signaling pathway and cellular metabolism in AIH.Gene Ontology enrichment analysis revealed that CGGD modulates inflammation through transcription factor-mediated signaling pathways.As predicted,CGGD attenuated Con A-induced AIH in a dose-dependent manner by activating the PI3K/AKT signaling pathway.Histopathological assessment confirmed the protective effects of CGGD against Con Ainduced AIH.Further investigation revealed that CGGD regulated the T helper cell 17(Th17)/regulatory T cell(Treg)balance by modulating the PI3K/Akt/nuclear factor kappa-B(NF-κB)pathway.CONCLUSIONS:This study demonstrated the therapeutic effect of CGGD on AIH through a combination of network pharmacological prediction and experimental validation.Its mechanism of action involves PI3K/Akt/NF-κB-mediated regulation of Th17/Treg cells.展开更多
OBJECTIVE:To investigate the pharmacological effects and underlying mechanisms of Pinggan Yuyin Qingre formula(平肝育阴清热方,PGYYQR)in the treatment of meibomian gland dysfunction(MGD)through network pharmacology and...OBJECTIVE:To investigate the pharmacological effects and underlying mechanisms of Pinggan Yuyin Qingre formula(平肝育阴清热方,PGYYQR)in the treatment of meibomian gland dysfunction(MGD)through network pharmacology and in vivo validation.METHODS:A mouse model of MGD was induced using the stearoyl-coenzyme a desaturase 1 inhibitor,followed by PGYYQR treatment for 2 weeks.MGD sign scoring,hematoxylin and eosin(HE)staining,oil red o(ORO)staining,and serum inflammatory cytokine analysis were conducted to assess the effects of PGYYQR on meibomian gland(MG)function,histopathology,and associated inflammation.Network pharmacology was employed to identify the active compounds and potential targets of PGYYQR.Molecular mechanisms were further investigated using Western blotting,reverse transcription quantitative real-time polymerase chain reaction,and reactive oxygen species(ROS)assays.RESULTS:PGYYQR treatment significantly reduced the scores of MG orifice obstruction and meibum quality in MGD mice.HE and ORO staining further demonstrated that PGYYQR ameliorated glandular damage and lipid dysfunction.Enzyme-linked immunosorbent assay results revealed that PGYYQR markedly decreased the serum levels of key inflammatory cytokines,including interleukin(IL)-1β,IL-6,and tumor necrosis factor-α.Network pharmacology identified 162 active compounds and 598 target genes in PGYYQR.Among these,IL-6,IL-1β,matrix metalloproteinase-9,and C-X-C motif chemokine ligand 8 were recognized as core targets related to MGD and were mainly enriched in the IL-17/nuclear factor kappa B(NF-κB)signaling pathway.Further molecular analyses confirmed that PGYYQR significantly inhibited the IL-17/NF-κB axis by downregulating IL-17 expression and reducing phosphorylated NF-κB p65 levels at both the protein and m RNA levels in MG tissues.PGYYQR also effectively reduced ROS levels in the conjunctival tissues of MGD mice.CONCLUSION:PGYYQR effectively improves MG function and preserves local tissue morphology in MGD model mice,primarily by suppressing the inflammatory response through coordinated modulation of the IL-17/NF-κB signaling pathway and oxidative stress.展开更多
The rapid growth of mobile and Internet of Things(IoT)applications in dense urban environments places stringent demands on future Beyond 5G(B5G)or Beyond 6G(B6G)networks,which must ensure high Quality of Service(QoS)w...The rapid growth of mobile and Internet of Things(IoT)applications in dense urban environments places stringent demands on future Beyond 5G(B5G)or Beyond 6G(B6G)networks,which must ensure high Quality of Service(QoS)while maintaining cost-efficiency and sustainable deployment.Traditional strategies struggle with complex 3D propagation,building penetration loss,and the balance between coverage and infrastructure cost.To address this challenge,this study presents the first application of a Global-best Guided Quantum-inspired Tabu Search with Quantum-Not Gate(GQTS-QNG)framework for 3D base-station deployment optimization.The problem is formulated as a multi-objective model that simultaneously maximizes coverage and minimizes deployment cost.A binary-to-decimal encodingmechanism is designed to represent discrete placement coordinates and base station types,leveraging a quantum-inspired method to efficiently search and refine solutions within challenging combinatorial environments.Global-best guidance and tabu memory are integrated to strengthen convergence stability and avoid revisiting previously explored solutions.Simulation results across user densities ranging from 1000 to 10,000 show that GQTS-QNG consistently finds deployment configurations achieving full coverage while reducing deployment cost compared with the state-of-the-art algorithms under equal iteration times.Additionally,our method generates welldistributed and structured Pareto fronts,offering diverse planning options that allow operators to flexibly balance cost and performance requirements.These findings demonstrate that GQTS-QNG is a scalable and efficient algorithm for sustainable 3D cellular network deployment in B5G/6G urban scenarios.展开更多
Parkinson’s disease(PD)is a debilitating neurological disorder affecting over 10 million people worldwide.PD classification models using voice signals as input are common in the literature.It is believed that using d...Parkinson’s disease(PD)is a debilitating neurological disorder affecting over 10 million people worldwide.PD classification models using voice signals as input are common in the literature.It is believed that using deep learning algorithms further enhances performance;nevertheless,it is challenging due to the nature of small-scale and imbalanced PD datasets.This paper proposed a convolutional neural network-based deep support vector machine(CNN-DSVM)to automate the feature extraction process using CNN and extend the conventional SVM to a DSVM for better classification performance in small-scale PD datasets.A customized kernel function reduces the impact of biased classification towards the majority class(healthy candidates in our consideration).An improved generative adversarial network(IGAN)was designed to generate additional training data to enhance the model’s performance.For performance evaluation,the proposed algorithm achieves a sensitivity of 97.6%and a specificity of 97.3%.The performance comparison is evaluated from five perspectives,including comparisons with different data generation algorithms,feature extraction techniques,kernel functions,and existing works.Results reveal the effectiveness of the IGAN algorithm,which improves the sensitivity and specificity by 4.05%–4.72%and 4.96%–5.86%,respectively;and the effectiveness of the CNN-DSVM algorithm,which improves the sensitivity by 1.24%–57.4%and specificity by 1.04%–163%and reduces biased detection towards the majority class.The ablation experiments confirm the effectiveness of individual components.Two future research directions have also been suggested.展开更多
Objective Repetitive transcranial magnetic stimulation(rTMS)has demonstrated efficacy in enhancing neurocognitive performance in Alzheimer’s disease(AD),but the neurobiological mechanisms linking synaptic pathology,n...Objective Repetitive transcranial magnetic stimulation(rTMS)has demonstrated efficacy in enhancing neurocognitive performance in Alzheimer’s disease(AD),but the neurobiological mechanisms linking synaptic pathology,neural oscillatory dynamics,and brain network reorganization remain unclear.This investigation seeks to systematically evaluate the therapeutic potential of rTMS as a non-invasive neuromodulatory intervention through a multimodal framework integrating clinical assessments,molecular profiling,and neurophysiological monitoring.Methods In this prospective double-blind trial,12 AD patients underwent a 14-day protocol of 20 Hz rTMS,with comprehensive multimodal assessments performed pre-and postintervention.Cognitive functioning was quantified using the mini-mental state examination(MMSE)and Montreal cognitive assessment(MOCA),while daily living capacities and neuropsychiatric profiles were respectively evaluated through the activities of daily living(ADL)scale and combined neuropsychiatric inventory(NPI)-Hamilton depression rating scale(HAMD).Peripheral blood biomarkers,specifically Aβ1-40 and phosphorylated tau(p-tau181),were analyzed to investigate the effects of rTMS on molecular metabolism.Spectral power analysis was employed to investigate rTMS-induced modulations of neural rhythms in AD patients,while brain network analyses incorporating topological properties were conducted to examine stimulus-driven network reorganization.Furthermore,systematic assessment of correlations between cognitive scale scores,blood biomarkers,and network characteristics was performed to elucidate cross-modal therapeutic associations.Results Clinically,MMSE and MOCA scores improved significantly(P<0.05).Biomarker showed that Aβ1-40 level increased(P<0.05),contrasting with p-tau181 reduction.Moreover,the levels of Aβ1-40 were positively correlated with MMSE and MOCA scores.Post-intervention analyses revealed significant modulations in oscillatory power,characterized by pronounced reductions in delta(P<0.05)and theta bands(P<0.05),while concurrent enhancements were observed in alpha,beta,and gamma band activities(all P<0.05).Network analysis revealed frequency-specific reorganization:clustering coefficients were significantly decreased in delta,theta,and alpha bands(P<0.05),while global efficiency improvement was exclusively detected in the delta band(P<0.05).The alpha band demonstrated concurrent increases in average nodal degree(P<0.05)and characteristic path length reduction(P<0.05).Further research findings indicate that the changes in the clinical scale HAMD scores before and after rTMS stimulation are negatively correlated with the changes in the blood biomarkers Aβ1-40 and p-tau181.Additionally,the changes in the clinical scales MMSE and MoCA scores were negatively correlated with the changes in the node degree of the alpha frequency band and negatively correlated with the clustering coefficient of the delta frequency band.However,the changes in MMSE scores are positively correlated with the changes in global efficiency of both the delta and alpha frequency bands.Conclusion 20 Hz rTMS targeting dorsolateral prefrontal cortex(DLPFC)significantly improves cognitive function and enhances the metabolic clearance ofβ-amyloid and tau proteins in AD patients.This neurotherapeutic effect is mechanistically associated with rTMS-mediated frequency-selective neuromodulation,which enhances the connectivity of oscillatory networks through improved neuronal synchronization and optimized topological organization of functional brain networks.These findings not only support the efficacy of rTMS as an adjunctive therapy for AD but also underscore the importance of employing multiple assessment methods—including clinical scales,blood biomarkers,and EEG——in understanding and monitoring the progression of AD.This research provides a significant theoretical foundation and empirical evidence for further exploration of rTMS applications in AD treatment.展开更多
Background:Parkinson’s disease(PD)is one of the most common movement disorders worldwide.Ziyin Xifeng Decoction(ZYXFD),a traditional Chinese medicine compound formula,has shown therapeutic efficacy in treating PD,but...Background:Parkinson’s disease(PD)is one of the most common movement disorders worldwide.Ziyin Xifeng Decoction(ZYXFD),a traditional Chinese medicine compound formula,has shown therapeutic efficacy in treating PD,but its specific mechanisms of action have not been fully elucidated.Methods:Firstly,we employed network pharmacology and untargeted metabolomics analysis to identify the core targets,pathways,and key metabolites of ZYXFD in the treatment of PD.Subsequently,we evaluated the protective effects of ZYXFD and further investigated its anti-PD mechanisms by validating the analytical results.Results:Combined analyses of network pharmacology and metabolomics identify the core targets including EGFR,SRC,PTGS2,and CDK2,while the effects of ZYXFD against PD are likely mediated primarily through the PI3K/AKT/mTOR signaling pathway.Pharmacodynamic evaluation demonstrated that a high dose of ZYXFD significantly improved behavioral deficits in chronic PD mice,downregulatedα-synuclein protein expression,and protected dopaminergic neurons.It also regulated the expression of core targets,inhibited the PI3K/AKT/mTOR signaling pathway,promoted autophagy,and reduced apoptosis.In vitro experiments further verified that the therapeutic effect of ZYXFD on PD is dependent on autophagy regulation.Conclusion:The findings demonstrated that ZYXFD alleviates PD by modulating related proteins and metabolites,inhibiting the PI3K/AKT/mTOR signaling pathway,and enhancing autophagy.This provides a theoretical basis for its broader application in PD treatment.展开更多
基金Supported by Shandong Provincial Natural Science,Study on the Structure-Activity Relationship and Mechanism of Licorice Chalcone Components in Synergizing with Immune Checkpoint Inhibitors for Anticancer Therapy(No.ZR2020MH380)Mechanisms of the Novel Flavone C-Glycoside 6'-ORhamnosyllutonarin from Dianthus superbus Improves Non-alcoholic Fatty Liver Disease via Modulating the Juxtaposed with Another Zinc Finger gene 1/Adenosine Monophosphate-activated Protein Kinase/Sterol Regulatory Element-Binding Protein Pathway(No.ZR2024MC209)。
文摘OBJECTIVE:To explore the mechanism of Baitouweng Tang(白头翁汤,Pulsatilla decoction,PD)alleviates dextran sulfate sodium(DSS)-induced ulcerative colitis(UC)in mice by integrating network pharmacology prediction with experimental validation,focusing on the modulation of inflammatory signaling.METHODS:A chronic UC model was induced in C57BL/6 mice by cyclical administration of DSS.Mice were treated with either a low(15 m L/kg)or high(30 m L/kg)dose of PD.Disease severity was assessed clinically and via histopathology.Serum levels of inflammatory cytokines were quantified.A network pharmacology approach was employed to predict the core targets and pathways of PD against UC.Key predictions concerning the toll-like receptor 4/nuclear factor-kappa B(TLR4/NF-κB)pathway were subsequently verified in colonic tissue using quantitative polymerase chain reaction and Western blotting.RESULTS:PD treatment significantly ameliorated DSSinduced UC symptoms,including reducing disease activity,preventing colon shortening,and improving histological architecture.PD effectively rebalanced the systemic inflammatory milieu by decreasing proinflammatory cytokines interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)and elevating anti-inflammatory cytokines interleukin-10(IL-10).Network pharmacology analysis identified the TLR4/NF-κB signaling pathway as a central target.Experimental validation confirmed that PD markedly suppressed the upregulation of both TLR4 and NF-κB at the transcriptional and protein levels in the inflamed colon.CONCLUSION:PD demonstrates protective effects against experimental UC.Its mechanism is associated with the inhibition of the TLR4/NF-κB signaling pathway and the subsequent attenuation of inflammatory responses.This study provides a modern pharmacological basis for the classical application of PD in treating heat-toxin related intestinal disorders,bridging traditional use and mechanistic understanding.
基金Supported by the Nanjing Health Science and Technology Key Medical Science and Technology Development Program:Mechanism of Action of the Modified Si-Miao Powder with Sanguisorba Carbonisata in Regulating Microbiota and Microecology for the Treatment of Recurrent Vulvovaginal Candidiasis(ZKX22039)。
文摘OBJECTIVE:To elucidate the therapeutic efficacy and mechanism of action of Chaihu Guizhi Ganjiang decoction(柴胡桂枝干姜汤,CGGD)in autoimmune hepatitis.METHODS:CGGD components and potential target genes were extracted from previously published databases.The autoimmune hepatitis(AIH)-related regulatory genes were obtained from the Dis Ge NET database.Intersections were taken,and enrichment analyses were performed on the extracted data.Concanavalin A(Con A)-induced AIH model mice were treated with CGGD via gavage.The results of network pharmacological analysis were experimentally validated.RESULTS:Network pharmacology revealed 228 genes at the intersection of AIH and CGGD.Kyoto Encyclopedia of Genes and Genomes analysis revealed that CGGD primarily regulates the phosphoinositide 3-kinase(PI3K)/protein kinase B(AKT)signaling pathway and cellular metabolism in AIH.Gene Ontology enrichment analysis revealed that CGGD modulates inflammation through transcription factor-mediated signaling pathways.As predicted,CGGD attenuated Con A-induced AIH in a dose-dependent manner by activating the PI3K/AKT signaling pathway.Histopathological assessment confirmed the protective effects of CGGD against Con Ainduced AIH.Further investigation revealed that CGGD regulated the T helper cell 17(Th17)/regulatory T cell(Treg)balance by modulating the PI3K/Akt/nuclear factor kappa-B(NF-κB)pathway.CONCLUSIONS:This study demonstrated the therapeutic effect of CGGD on AIH through a combination of network pharmacological prediction and experimental validation.Its mechanism of action involves PI3K/Akt/NF-κB-mediated regulation of Th17/Treg cells.
基金Supported by National Famous and Senior Chinese Medicine Expert Heritage Studio Construction Project:Zhi Nan Heritage Studio(No.75[2022])Beijing Municipal Key Traditional Chinese Medicine Specialty Development Project during the 14th Five-Year Plan Period(No.BJZKBC0029)。
文摘OBJECTIVE:To investigate the pharmacological effects and underlying mechanisms of Pinggan Yuyin Qingre formula(平肝育阴清热方,PGYYQR)in the treatment of meibomian gland dysfunction(MGD)through network pharmacology and in vivo validation.METHODS:A mouse model of MGD was induced using the stearoyl-coenzyme a desaturase 1 inhibitor,followed by PGYYQR treatment for 2 weeks.MGD sign scoring,hematoxylin and eosin(HE)staining,oil red o(ORO)staining,and serum inflammatory cytokine analysis were conducted to assess the effects of PGYYQR on meibomian gland(MG)function,histopathology,and associated inflammation.Network pharmacology was employed to identify the active compounds and potential targets of PGYYQR.Molecular mechanisms were further investigated using Western blotting,reverse transcription quantitative real-time polymerase chain reaction,and reactive oxygen species(ROS)assays.RESULTS:PGYYQR treatment significantly reduced the scores of MG orifice obstruction and meibum quality in MGD mice.HE and ORO staining further demonstrated that PGYYQR ameliorated glandular damage and lipid dysfunction.Enzyme-linked immunosorbent assay results revealed that PGYYQR markedly decreased the serum levels of key inflammatory cytokines,including interleukin(IL)-1β,IL-6,and tumor necrosis factor-α.Network pharmacology identified 162 active compounds and 598 target genes in PGYYQR.Among these,IL-6,IL-1β,matrix metalloproteinase-9,and C-X-C motif chemokine ligand 8 were recognized as core targets related to MGD and were mainly enriched in the IL-17/nuclear factor kappa B(NF-κB)signaling pathway.Further molecular analyses confirmed that PGYYQR significantly inhibited the IL-17/NF-κB axis by downregulating IL-17 expression and reducing phosphorylated NF-κB p65 levels at both the protein and m RNA levels in MG tissues.PGYYQR also effectively reduced ROS levels in the conjunctival tissues of MGD mice.CONCLUSION:PGYYQR effectively improves MG function and preserves local tissue morphology in MGD model mice,primarily by suppressing the inflammatory response through coordinated modulation of the IL-17/NF-κB signaling pathway and oxidative stress.
基金supported by the National Science and Technology Council,Taiwan,under Grants 113-2221-E-260-014-MY2 and 114-2119-M-033-001.
文摘The rapid growth of mobile and Internet of Things(IoT)applications in dense urban environments places stringent demands on future Beyond 5G(B5G)or Beyond 6G(B6G)networks,which must ensure high Quality of Service(QoS)while maintaining cost-efficiency and sustainable deployment.Traditional strategies struggle with complex 3D propagation,building penetration loss,and the balance between coverage and infrastructure cost.To address this challenge,this study presents the first application of a Global-best Guided Quantum-inspired Tabu Search with Quantum-Not Gate(GQTS-QNG)framework for 3D base-station deployment optimization.The problem is formulated as a multi-objective model that simultaneously maximizes coverage and minimizes deployment cost.A binary-to-decimal encodingmechanism is designed to represent discrete placement coordinates and base station types,leveraging a quantum-inspired method to efficiently search and refine solutions within challenging combinatorial environments.Global-best guidance and tabu memory are integrated to strengthen convergence stability and avoid revisiting previously explored solutions.Simulation results across user densities ranging from 1000 to 10,000 show that GQTS-QNG consistently finds deployment configurations achieving full coverage while reducing deployment cost compared with the state-of-the-art algorithms under equal iteration times.Additionally,our method generates welldistributed and structured Pareto fronts,offering diverse planning options that allow operators to flexibly balance cost and performance requirements.These findings demonstrate that GQTS-QNG is a scalable and efficient algorithm for sustainable 3D cellular network deployment in B5G/6G urban scenarios.
基金The work described in this paper was fully supported by a grant from Hong Kong Metropolitan University(RIF/2021/05).
文摘Parkinson’s disease(PD)is a debilitating neurological disorder affecting over 10 million people worldwide.PD classification models using voice signals as input are common in the literature.It is believed that using deep learning algorithms further enhances performance;nevertheless,it is challenging due to the nature of small-scale and imbalanced PD datasets.This paper proposed a convolutional neural network-based deep support vector machine(CNN-DSVM)to automate the feature extraction process using CNN and extend the conventional SVM to a DSVM for better classification performance in small-scale PD datasets.A customized kernel function reduces the impact of biased classification towards the majority class(healthy candidates in our consideration).An improved generative adversarial network(IGAN)was designed to generate additional training data to enhance the model’s performance.For performance evaluation,the proposed algorithm achieves a sensitivity of 97.6%and a specificity of 97.3%.The performance comparison is evaluated from five perspectives,including comparisons with different data generation algorithms,feature extraction techniques,kernel functions,and existing works.Results reveal the effectiveness of the IGAN algorithm,which improves the sensitivity and specificity by 4.05%–4.72%and 4.96%–5.86%,respectively;and the effectiveness of the CNN-DSVM algorithm,which improves the sensitivity by 1.24%–57.4%and specificity by 1.04%–163%and reduces biased detection towards the majority class.The ablation experiments confirm the effectiveness of individual components.Two future research directions have also been suggested.
文摘Objective Repetitive transcranial magnetic stimulation(rTMS)has demonstrated efficacy in enhancing neurocognitive performance in Alzheimer’s disease(AD),but the neurobiological mechanisms linking synaptic pathology,neural oscillatory dynamics,and brain network reorganization remain unclear.This investigation seeks to systematically evaluate the therapeutic potential of rTMS as a non-invasive neuromodulatory intervention through a multimodal framework integrating clinical assessments,molecular profiling,and neurophysiological monitoring.Methods In this prospective double-blind trial,12 AD patients underwent a 14-day protocol of 20 Hz rTMS,with comprehensive multimodal assessments performed pre-and postintervention.Cognitive functioning was quantified using the mini-mental state examination(MMSE)and Montreal cognitive assessment(MOCA),while daily living capacities and neuropsychiatric profiles were respectively evaluated through the activities of daily living(ADL)scale and combined neuropsychiatric inventory(NPI)-Hamilton depression rating scale(HAMD).Peripheral blood biomarkers,specifically Aβ1-40 and phosphorylated tau(p-tau181),were analyzed to investigate the effects of rTMS on molecular metabolism.Spectral power analysis was employed to investigate rTMS-induced modulations of neural rhythms in AD patients,while brain network analyses incorporating topological properties were conducted to examine stimulus-driven network reorganization.Furthermore,systematic assessment of correlations between cognitive scale scores,blood biomarkers,and network characteristics was performed to elucidate cross-modal therapeutic associations.Results Clinically,MMSE and MOCA scores improved significantly(P<0.05).Biomarker showed that Aβ1-40 level increased(P<0.05),contrasting with p-tau181 reduction.Moreover,the levels of Aβ1-40 were positively correlated with MMSE and MOCA scores.Post-intervention analyses revealed significant modulations in oscillatory power,characterized by pronounced reductions in delta(P<0.05)and theta bands(P<0.05),while concurrent enhancements were observed in alpha,beta,and gamma band activities(all P<0.05).Network analysis revealed frequency-specific reorganization:clustering coefficients were significantly decreased in delta,theta,and alpha bands(P<0.05),while global efficiency improvement was exclusively detected in the delta band(P<0.05).The alpha band demonstrated concurrent increases in average nodal degree(P<0.05)and characteristic path length reduction(P<0.05).Further research findings indicate that the changes in the clinical scale HAMD scores before and after rTMS stimulation are negatively correlated with the changes in the blood biomarkers Aβ1-40 and p-tau181.Additionally,the changes in the clinical scales MMSE and MoCA scores were negatively correlated with the changes in the node degree of the alpha frequency band and negatively correlated with the clustering coefficient of the delta frequency band.However,the changes in MMSE scores are positively correlated with the changes in global efficiency of both the delta and alpha frequency bands.Conclusion 20 Hz rTMS targeting dorsolateral prefrontal cortex(DLPFC)significantly improves cognitive function and enhances the metabolic clearance ofβ-amyloid and tau proteins in AD patients.This neurotherapeutic effect is mechanistically associated with rTMS-mediated frequency-selective neuromodulation,which enhances the connectivity of oscillatory networks through improved neuronal synchronization and optimized topological organization of functional brain networks.These findings not only support the efficacy of rTMS as an adjunctive therapy for AD but also underscore the importance of employing multiple assessment methods—including clinical scales,blood biomarkers,and EEG——in understanding and monitoring the progression of AD.This research provides a significant theoretical foundation and empirical evidence for further exploration of rTMS applications in AD treatment.
基金funded by Zhejiang Province Traditional Chinese Medicine Science and Technology Program(No.2021ZZ012)The Changlin Qiu National Distinguished Senior Traditional Chinese Medicine Expert Heritage Workshop Project(No.GZS2021007).
文摘Background:Parkinson’s disease(PD)is one of the most common movement disorders worldwide.Ziyin Xifeng Decoction(ZYXFD),a traditional Chinese medicine compound formula,has shown therapeutic efficacy in treating PD,but its specific mechanisms of action have not been fully elucidated.Methods:Firstly,we employed network pharmacology and untargeted metabolomics analysis to identify the core targets,pathways,and key metabolites of ZYXFD in the treatment of PD.Subsequently,we evaluated the protective effects of ZYXFD and further investigated its anti-PD mechanisms by validating the analytical results.Results:Combined analyses of network pharmacology and metabolomics identify the core targets including EGFR,SRC,PTGS2,and CDK2,while the effects of ZYXFD against PD are likely mediated primarily through the PI3K/AKT/mTOR signaling pathway.Pharmacodynamic evaluation demonstrated that a high dose of ZYXFD significantly improved behavioral deficits in chronic PD mice,downregulatedα-synuclein protein expression,and protected dopaminergic neurons.It also regulated the expression of core targets,inhibited the PI3K/AKT/mTOR signaling pathway,promoted autophagy,and reduced apoptosis.In vitro experiments further verified that the therapeutic effect of ZYXFD on PD is dependent on autophagy regulation.Conclusion:The findings demonstrated that ZYXFD alleviates PD by modulating related proteins and metabolites,inhibiting the PI3K/AKT/mTOR signaling pathway,and enhancing autophagy.This provides a theoretical basis for its broader application in PD treatment.
