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Discovery of plasma biomarkers for Parkinson's disease diagnoses based on metabolomics and lipidomics 被引量:1
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作者 Xiaoxiao Wang Bolun Wang +14 位作者 Fenfen Ji Jie Yan Jiacheng Fang Doudou Zhang Ji Xu Jing Ji Xinran Hao Hemi Luan Yanjun Hong Shulan Qiu Min Li Zhu Yang Wenlan Liu Xiaodong Cai Zongwei Cai 《Chinese Chemical Letters》 SCIE CAS CSCD 2024年第11期260-265,共6页
Parkinson's disease(PD) is an aging-associated neurodegenerative movement disorder with increasing morbidity and mortality rates.The current gold standard for diagnosing PD is clinical evaluation,which is often ch... Parkinson's disease(PD) is an aging-associated neurodegenerative movement disorder with increasing morbidity and mortality rates.The current gold standard for diagnosing PD is clinical evaluation,which is often challenging and inaccurate.Metabolomics and lipidomics approaches have been extensively applied because of their potential in discovering valuable biomarkers for medical diagnostics.Here,we used comprehensive untargeted metabolomics and lipidomics methodologies based on liquid chromatographymass spectrometry to evaluate metabolic abnormalities linked with PD.Two well-characterized cohorts of288 plasma samples(143 PD patients and 145 control subjects in total) were used to examine metabolic alterations and identify diagnostic biomarkers.Unbiased multivariate and univariate studies were combined to identify the promising metabolic signatures,based on which the discriminant models for PD were established by integrating multiple machine learning algorithms.A 6-biomarker predictive model was constructed based on the omics profile in the discovery cohort,and the discriminant performance of the biomarker panel was evaluated with an accuracy over 81.6% both in the discovery cohort and validation cohort.The results indicated that PC(40:7),eicosatrienoic acid were negatively correlated with severity of PD,and pentalenic acid,PC(40:6p) and aspartic acid were positively correlated with severity of PD.In summary,we developed a multi-metabolite predictive model which can diagnose PD with over81.6% accuracy based on this unique metabolic signature.Future clinical diagnosis of PD may benefit from the biomarker panel reported in this study. 展开更多
关键词 Parkinson's disease Metabolomics LIPIDOMICS Machine learning BIOMARKER
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Reversal Effects of Ivermectin and Moxidectin on Multidrug Resistance in C6/adr Cells in vitro
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作者 Chen Chen Liang Hong-sheng +2 位作者 Wang Li-wei Wang Qing Gao Ai-li 《Journal of Northeast Agricultural University(English Edition)》 CAS 2021年第3期48-57,共10页
Multidrug resistance(MDR)is a serious obstacle encountered in cancer treatment.This study was performed to explore the reversal MDR activity of ivermectin(IVM)from avermectin family and moxidectin(MOX)belonging to mil... Multidrug resistance(MDR)is a serious obstacle encountered in cancer treatment.This study was performed to explore the reversal MDR activity of ivermectin(IVM)from avermectin family and moxidectin(MOX)belonging to milbemycin family.The two compounds(5μmol•L-1)showed strong potency to increase adriamycin cytotoxicity toward adriamycin-resistant rat glioma cells C6/adr with fold reversal(FR)of 31.02 and 13.40,respectively.In addition,the mechanisms of them on p-glycoprotein(P-gp)-mediated MDR demonstrated that the two compounds significantly increased the intracellular accumulations of adriamycin and Rh123 via inhibiting P-gp efflux.Based on the analysis of P-gp,MDR1 and MRP1 gene expressions by using immunofluorescence flow cytometry and RT-PCR,the results revealed that the two compounds could down regulate the expression of P-gp,and that MDR1 and MRP1 gene expressions were down regulated.These findings suggested that ivermectin and moxidectin probably represented potent agents for reversing MDR in cancer therapy,and especially ivermectin was a better modulator. 展开更多
关键词 IVERMECTIN MOXIDECTIN C6/adr multidrug resistance P-GLYCOPROTEIN
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Dantrolene enhances the protective effect of hypothermia on cerebral cortex neurons
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作者 Sui-yi Xu Feng-yun Hu +4 位作者 Li-jie Ren Lei Chen Zhu-qing Zhou Xie-jun Zhang Wei-ping Li 《Neural Regeneration Research》 SCIE CAS CSCD 2015年第8期1279-1285,共7页
Therapeutic hypothermia is the most promising non-pharmacological neuroprotective strategy against ischemic injury. However, shivering is the most common adverse reaction. Many studies have shown that dantrolene is ne... Therapeutic hypothermia is the most promising non-pharmacological neuroprotective strategy against ischemic injury. However, shivering is the most common adverse reaction. Many studies have shown that dantrolene is neuroprotective in in vitro and in vivo ischemic injury models. In addition to its neuroprotective effect, dantrolene neutralizes the adverse reaction of hypothermia. Dantrolene may be an effective adjunctive therapy to enhance the neuroprotection of hypothermia in treating ischemic stroke. Cortical neurons isolated from rat fetuses were exposed to 90 minutes of oxygen-glucose deprivation followed by reoxygenation. Neurons were treated with 40 μM dantrolene, hypothermia(at 33°C), or the combination of both for 12 hours. Results revealed that the combination of dantrolene and hypothermia increased neuronal survival and the mitochondrial membrane potential, and reduced intracellular active oxygen cytoplasmic histone-associated DNA fragmentation, and apoptosis. Furthermore, improvements in cell morphology were observed. The combined treatment enhanced these responses compared with either treatment alone. These findings indicate that dantrolene may be used as an effective adjunctive therapy to enhance the neuroprotective effects of hypothermia in ischemic stroke. 展开更多
关键词 nerve regeneration ischemic stroke oxygen-glucose deprivation fluorescent probe neurons flow cytometry apoptosis calcium overload reactive oxygen neural regeneration
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NADPH oxidase 2 does not contribute to early reperfusion-associated reactive oxygen species generation following transient focal cerebral ischemia 被引量:1
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作者 Yuan Zhang Ting Wang +3 位作者 Ke Yang Ji Xu Jian-ming Wu Wen-Ian Liu 《Neural Regeneration Research》 SCIE CAS CSCD 2016年第11期1773-1778,共6页
Excess production of reactive oxygen species (ROS) critically contributes to occurrence of reperfusion injury, the paradoxical response of ischemic brain tissue to restoration of cerebral blood flow. However, the en... Excess production of reactive oxygen species (ROS) critically contributes to occurrence of reperfusion injury, the paradoxical response of ischemic brain tissue to restoration of cerebral blood flow. However, the enzymatic sources of ROS generation remain to be unclear. This study examined Nox2-ontaining NADPH oxidase (Nox2) expression and its activity in ischemic brain tissue following post-ischemic reperfusion to clarify the mechanism of enzymatic reaction of ROS. Male Sprague-Dawley rats were subjected to 90-minute middle cerebral artery occlusion, followed by 3 or 22.5 hours of reperfusion. Quantitative reverse transcriptase PCR and western blot assay were performed to measure mRNA and protein expression of Nox2. Lucigenin fluorescence assays were performed to assess Nox activity. Our data showed that Nox2 mRNA and protein expression levels were significantly increased (3.7-fold for mRNA and 3.6-fold for protein) in ischemic brain tissue at 22.5 hours but not at 3 hours following post-ischemic reperfusion. Similar results were obtained for the changes of NADPH oxidase activity in ischemic cerebral tissue at the two reperfusion time points. Our results suggest that Nox2 may not contribute to the early burst of reperfusion-related ROS generation, but is rather an important source of ROS generation during prolonged reperfusion. 展开更多
关键词 nerve regeneration NADPH oxidase cerebral ischemia Nox family reactive oxygen species REPERFUSION central nervous system stroke blood flow neural regeneration
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Tumor Suppressor miR-637 Is Associated with Cellular Migration, Invasion, and Glioma Diagnosis 被引量:2
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作者 Jing Liu Yanwen Xu +2 位作者 Tingting Wu Xia Liu Yanhua Sun 《International Journal of Clinical Medicine》 2020年第9期516-525,共10页
<strong>Objective:</strong> Abnormal miRNA expression is observed in several human tumors;moreover, normal cell regulation can be disrupted by tumor-suppressive or oncogenic miRNAs. We aimed to investigate... <strong>Objective:</strong> Abnormal miRNA expression is observed in several human tumors;moreover, normal cell regulation can be disrupted by tumor-suppressive or oncogenic miRNAs. We aimed to investigate the role of miR-637 in gliomas. <strong>Methods: </strong>We assessed miR-637 expression in 98 and 16 gliomas and non-tumoral brain tissues, respectively, using in situ hybridization. We calculated receiver operating characteristic curves to determine the specificity and sensitivity of miR-637 biomarkers. Next, the effects of miR-637 on glioma cell migration and invasion were determined by using the transwell assay. Candidate target genes were identified through Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. <strong>Results: </strong>There was significant miR-637 downregulation in glioma tissues (P < 0.001). Further, it showed potential as a diagnostic biomarker for gliomas. In addition, miR-637 suppressed glioma cell migration and invasion. <strong>Conclusions: </strong>Our findings suggest that miR-637 inhibits glioma invasion and migration and could be a potential diagnostic marker for gliomas. Future studies should examine the potential mechanisms underlying miR-637 as a diagnostic marker and therapeutic target for gliomas. 展开更多
关键词 miR-637 GLIOMA DIAGNOSIS Biomarkers
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Urine biomarkers discovery by metabolomics and machine learning for Parkinson’s disease diagnoses
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作者 Xiaoxiao Wang Xinran Hao +18 位作者 Jie Yan Ji Xu Dandan Hu Fenfen Ji Ting Zeng Fuyue Wang Bolun Wang Jiacheng Fang Jing Ji Hemi Luan Yanjun Hong Yanhao Zhang Jinyao Chen Min Li Zhu Yang Doudou Zhang Wenlan Liu Xiaodong Cai Zongwei Cai 《Chinese Chemical Letters》 SCIE CAS CSCD 2023年第10期93-97,共5页
Parkinson’s disease(PD)is a complex neurological disorder that typically worsens with age.A wide range of pathologies makes PD a very heterogeneous condition,and there are currently no reliable diagnostic tests for t... Parkinson’s disease(PD)is a complex neurological disorder that typically worsens with age.A wide range of pathologies makes PD a very heterogeneous condition,and there are currently no reliable diagnostic tests for this disease.The application of metabolomics to the study of PD has the potential to identify disease biomarkers through the systematic evaluation of metabolites.In this study,urine metabolic profiles of 215 urine samples from 104 PD patients and 111 healthy individuals were assessed based on liquid chromatography-mass spectrometry.The urine metabolic profile was first evaluated with partial leastsquares discriminant analysis,and then we integrated the metabolomic data with ensemble machine learning techniques using the voting strategy to achieve better predictive performance.A combination of 8-metabolite predictive panel performed well with an accuracy of over 90.7%.Compared to control subjects,PD patients had higher levels of 3-methoxytyramine,N-acetyl-l-tyrosine,orotic acid,uric acid,vanillic acid,and xanthine,and lower levels of 3,3-dimethylglutaric acid and imidazolelactic acid in their urine.The multi-metabolite prediction model developed in this study can serve as an initial point for future clinical studies. 展开更多
关键词 Parkinson’s disease High-resolution mass spectrometry BIOMARKER METABOLOMIC Machine learning
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Exploration and functionalization of M1-macrophage extracellular vesicles for effective accumulation in glioblastoma and strong synergistic therapeutic effects 被引量:7
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作者 Xiaojun Wang Hui Ding +7 位作者 Zongyang Li Yaonan Peng Hui Tan Changlong Wang Guodong Huang Weiping Li Guanghui Ma Wei Wei 《Signal Transduction and Targeted Therapy》 SCIE CSCD 2022年第4期1271-1286,共16页
Glioblastoma multiforme(GBM)is a highly aggressive brain tumor with an extremely low survival rate.New and effective approaches for treatment are therefore urgently needed.Here,we successfully developed M1-like macrop... Glioblastoma multiforme(GBM)is a highly aggressive brain tumor with an extremely low survival rate.New and effective approaches for treatment are therefore urgently needed.Here,we successfully developed M1-like macrophage-derived extracellular vesicles(M1EVs)that overcome multiple challenges via guidance from two macrophage-related observations in clinical specimens from GBM patients:enrichment of M2 macrophages in GBM;and origination of a majority of infiltrating macrophage from peripheral blood.To maximize the synergistic effect,we further functionalized the membranes of M1EVs with two hydrophobic agents(the chemical excitation source CPPO(C)and the photosensitizer Ce6(C))and loaded the hydrophilic hypoxiaactivated prodrug AQ4N(A)into the inner core of the M1EVs.After intravenous injection,the inherent nature of M1-derived extracellular vesicles CCA-M1EVs allowed for blood-brain barrier penetration,and modulated the immunosuppressive tumor microenvironment via M2-to-M1 polarization,which increased hydrogen peroxide(H_(2)O_(2))levels.Furthermore,the reaction between H_(2)O_(2) and CPPO produced chemical energy,which could be used for Ce6 activation to generate large amounts of reactive oxygen species to achieve chemiexcited photodynamic therapy(CDT).As this reaction consumed oxygen,the aggravation of tumor hypoxia also led to the conversion of non-toxic AQ4N into toxic AQ4 for chemotherapy.Therefore,CCA-M1EVs achieved synergistic immunomodulation,CDT,and hypoxia-activated chemotherapy in GBM to exert a potent therapeutic effect.Finally,we demonstrated the excellent effect of CCA-M1EVs against GBM in cell-derived xenograft and patient-derived xenograft models,underscoring the strong potential of our highly flexible M1EVs system to support multi-modal therapies for difficult-to-treat GBM. 展开更多
关键词 THERAPEUTIC CHEMOTHERAPY SYNERGISTIC
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A new autophagy-related nomogram and mechanism in multiple myeloma
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作者 Hanying Huang Yang Li +9 位作者 Ziang Zhu Yang Liu Weida Wang Shuzhao Chen Xiaoping Wu Yun Wang Yanzhou Chen Huanxin Lin Yang Liang Lingling Shu 《Genes & Diseases》 SCIE CSCD 2024年第5期29-32,共4页
Multiple myeloma(MM)is the second most common hematological tumor.It is characterized by high drug resistance,easy recurrence,and poor prognosis,and remains incurable.Various models or scoring modalities can be used t... Multiple myeloma(MM)is the second most common hematological tumor.It is characterized by high drug resistance,easy recurrence,and poor prognosis,and remains incurable.Various models or scoring modalities can be used to predict the survival prognosis of MM patients;however,these predictions are still not accurate enough.We have previously found that scorings related to bone marrow microenvironment metabolism can improve predictive efficacy. 展开更多
关键词 METABOLISM PROGNOSIS MYELOMA
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