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2.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4073-4077, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872678

RESUMO

Taking the Xiushui township of Baisha county in Hainan province as the research area,the random forest algorithm with obvious advantages in feature selection and classification extraction was used to extract the information of the Callicarpa nudiflora planting in the study area. Firstly,four kinds of different characteristic variables were generated based on World View-3 data,including spectral features,principal component features,vegetation index and texture features. Secondly,the spatial distribution of the C. nudiflora in the study area was extracted by remote sensing by random forest classification algorithm. Finally,the feature space of the random forest classification algorithm was optimized based on the feature importance to obtain the best random forest classification results,and this result is compared with the classification result of the random forest algorithm of the unoptimized feature space. The results showed that:①The overall accuracy of the C. nudiflora extracted by World View-3 image was 89. 97%,and the Kappa coefficient was 0. 84,which indicates that the random forest algorithm had higher classification accuracy and better applicability in Hainan C. nudiflora recognition.② The overall accuracy of extracting C. nudiflora with the dimension reduction feature was 90. 4,and the Kappa coefficient was 0. 85,which indicates that the random forest algorithm can effectively select features. At the same time as the feature variable data mining,the precision of the information extraction of the C. nudiflora was still guaranteed,and the operation efficiency was improved. This study provides a new idea,method and technical means for information extraction of cultivated medicinal plant resources in terms of feature selection and method selection.


Assuntos
Callicarpa , Plantas Medicinais , Algoritmos
3.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4078-4081, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872679

RESUMO

In order to solve the problem of manual area measurement,the traditional methods of medicinal planting area statistics are difficult to meet the needs of rapid area survey application. This paper uses the UAV remote sensing method with the advantages of unmanned,automatic,high efficiency,high score and short production cycle to monitor the shape of Callicarpa nudiflora. A solution for aerial photography,image data acquisition and data processing of drones were designed for characteristics and planting conditions. After data processing and statistical analysis,detailed information on the location and area of the C. nudiflora in the target area was obtained. Then the accuracy comparison analysis was carried out with the measured results of the C. nudiflora. The results show that the UAV is feasible for the monitoring of C. nudiflora,and has a good application prospect in the monitoring of Chinese herbal medicine planting.


Assuntos
Callicarpa , Plantas Medicinais , Tecnologia de Sensoriamento Remoto , Fotografação
4.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4090-4094, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872681

RESUMO

The dried roots of Panax ginseng are used as medicines. In this paper,multi-time satellite sensing image data are used for image registration by radiometric correction,atmospheric pressure correction,the data of different years were compared. The multiscale segmentation of the sensing image was successively carried out by using object-oriented method. Combining with the characteristics of the sensing image participated in the field survey,the objective was to understand the speckles of the environmental parameters distribution map of Changbai county in 2017 and 2018. The parameter area of Changbai county was calculated by using GIS spatial analysis tools. The union,erase and intersect tools of " analysis to OLS" overlay in " Arc Toolbox" were used to analyze the parametric area of Changbai county from 2017 to 2018. The results showed that the parameter area of Changbai county in 2017 was 27 400 mu( 1 mu≈667 m2),and the parameter area in 2018 was 13 900 mu. The parameter area of the new park in Changbai County in 2018 was 12 500 mu,and the harvested area in 2017 was 27 000 mu. Through the analysis and study of the regional change of the park participating in the training area,it has significance for guiding the park participating in the actual production planning and layout in Changbai county in the next step.


Assuntos
Panax , Tecnologia de Sensoriamento Remoto , Jardins
5.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4095-4100, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872682

RESUMO

The study is aimed to effectively obtain the planting area of traditional Chinese medicine resources. The herbs used as the material for traditional Chinese medicine are mostly planted in natural environment suitable mountainous areas. The UAV low altitude remote sensing data were used as the samples and the GF-2 remote sensing images were applied for the data source to extract the planting area of Salvia miltiorrhiza and Artemisia argyi in Luoning county combined with field investigation. Remote sensing satellite data of standard processing obtain specific remote sensing data coverage. The UAV data were pre-processed to visually interpret the species and distribution of traditional Chinese medicine resources in the sample quadrat. Support vector machine( SVM) was used to classify and estimate the area of traditional Chinese medicine resources in Luoning county,confusion matrix was used to determine the accuracy of spatial distribution of traditional Chinese medicine resources. The result showed that the application of UAV of low altitude remote sensing technology and remote sensing image of satellite in the extraction of S. miltiorrhiza and other varieties planting area was feasible,it also provides a scientific reference for poverty alleviation policies of the traditional Chinese medicine Industry in local areas.Meanwhile,research on remote sensing classification of Chinese medicinal materials based on multi-source and multi-phase high-resolution remote sensing images is actively carried out to explore more effective methods for information extraction of Chinese medicinal materials.


Assuntos
Altitude , Medicamentos de Ervas Chinesas , Medicina Tradicional Chinesa , Tecnologia de Sensoriamento Remoto , Recursos Naturais , Máquina de Vetores de Suporte
6.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4101-4106, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872683

RESUMO

In order to comprehensively monitor the dynamic change of Paeonia lactiflora planting area,the investigation of P. lactiflora planting area in Dangshan was carried out. It can provide reference for the planting detection of P. lactiflora in Huaibei Plain.Based on remote sensing technology,this paper extracts the planting area of P. lactiflora in Dangshan in 2018 by using the minimum distance method,maximum likelihood method,parallel hexahedron method and Mahalanobis distance method,using the remote sensing image of ZY-3 Satellite as the data source,and makes a comparative analysis with the results. The results show that the maximum likelihood method is better than the other three methods. This method can provide reference for remote sensing monitoring of P. lactiflora planting area in China.


Assuntos
Paeonia , Tecnologia de Sensoriamento Remoto , China
7.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4107-4110, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872684

RESUMO

Moutan Cortex is one kind of famous medicinal materials. The dry root bark of Paeonia ostii which is a genuine medicinal material produced in Tongling,Anhui province,and later was introduced to Heze,Shandong province and Bozhou,Anhui province.Dangshan county is located at the northern end of Anhui province and adjacent to Shandong province. Its medicinal seedlings were came from Heze,Shandong province. At present,there is a lack of scientific investigation on the planting area of P. ostii in north China plain. On the basis of field investigation and remote sensing technology,through the data source provided by the remote sensing image of " Resources 3"( ZY-3),combined with the biological characteristics of P. ostii,the planting area of P. ostii in Dangshan county was extracted by field investigation and supervisory classification. The supervise classification method with the highest interpretation accuracy so far,the overall accuracy was 97. 81%,Kappa coefficient 0. 96. The results showed that the remote sensing classification method based on the maximum likelihood classification could extract P. ostii plots in the study area effectively. This study provides a scientific basis for the protection and rational utilization of traditional Chinese medicine resources,the development policy of traditional Chinese medicine industry and the long-term development plan in Dangshan county,and provides technical support for the poverty alleviation of traditional Chinese medicine industry in Dangshan county. It provides scientific reference for the application of remote sensing technology to investigate the planting area of P. ostii in in north China plain.


Assuntos
Medicina Tradicional Chinesa , Paeonia , Tecnologia de Sensoriamento Remoto , China
8.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4111-4115, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872685

RESUMO

The planting area of Chinese medicinal materials is an important basis for formulating policies such as production and poverty alleviation of Chinese medicinal materials and is determining the quantity of medicinal materials trade. Accurately mastering the information of the distribution,area and yield of Chinese medicinal materials cultivation is the basis of the adjustment of the planting structure of traditional Chinese medicine. It is now the largest planting place of Mongolian traditional Chinese medicinal materials in Naiman banner that is belonging to Tongliao city,Inner Mongolia. It is of great significance to obtain the planting area of Mongolian Chinese medicinal materials in Naiman banner in time and effectively for the development of subsequent industries. In this study,Saposhnikovia divaricata,a medicinal plant planted in Naiman banner,was selected as an example,and the fusion 2 m resolution ZY-3 remote sensing image was used as the data source. Based on the ground survey data,the sample data of each typical ground object were selected,and the spectral characteristic curves of different ground objects were obtained,and the S. divaricata spectral information was obtained. Using the filtering texture analysis method based on probability statistics,five kinds of texture image display results under different texture filtering were compared and analyzed,and finally the S. divaricata texture features based on information entropy are determined. The distribution range and planting area of S. divaricata in Naiman banner were extracted and interpreted by using the texture and spectral information of remote sensing images. The results showed that: S. divaricata was mainly distributed in the northeast and central south of Naiman banner,and the planting area was 5 336 mu( 1 mu≈667 m2). The field verification data were in good agreement with the remote sensing interpretation results,and the difference was small. It shows that the combination of spectral information and texture information can realize the discrimination of S. divaricata,and the interpretation results can provide a reference for the county to formulate the poverty alleviation action of Chinese medicinal material industry and the economic development plan of agricultural producing areas.


Assuntos
Apiaceae , Medicina Tradicional Chinesa , Plantas Medicinais , Agricultura , China
9.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4116-4120, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872686

RESUMO

With digital satellite remote sensing image data of GF-1,in 2018 the object-oriented classification method was used to extract Zizyphus jujuba planting area in Jia county of Shaanxi province. The results showed that the remote sensing classification method based on rule set could extract and reckon Z. jujube planting area in the study area effectively. The planting area of Z. jujube in Jia county was about 5. 34×104 hm2 and the area of consistent accuracy was 97. 92%. The method used in this study could provide a technical reference for the area extraction of the same type of medicinal materials. And it is of great significance to provide decision support for the protection and utilization of Z. jujube resources.


Assuntos
Ziziphus , Agricultura , China , Medicamentos de Ervas Chinesas , Medicina Tradicional Chinesa
10.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4121-4124, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872687

RESUMO

Due to the large amount of Codonopsis pilosula planted in Weiyuan county,and the arable land area,the local medicinal materials office uses a large amount of manpower,financial resources and material resources to estimate its area every year. In order to extract the information of local Chinese medicinal materials more quickly and simply,we try to apply remote sensing technology to the extraction of Chinese medicinal materials. This paper will use Weiyuan county of Gansu province as the research area,and use the domestic ZY-3 Satellite multi-spectral remote sensing image as the data source to find out the spectral characteristics of the party's participation in other remote sensing images. The visual interpretation method was used to extract the planting area of the C. pilosula in Weiyuan county. The estimated value of the planting area of C. pilosula using satellite remote sensing technology was 75 965 mu( 1 mu≈667 m2),which was basically consistent with the field survey data of the local medicinal materials office. After the accuracy verification,it was found that the precision of C. pilosula planted by visual interpretation was more than 70%. It is concluded that the satellite remote sensing technology can be used to extract the information of C. pilosula and it can provide the relevant information of the planting area of Chinese medicinal materials quickly and accurately.


Assuntos
Codonopsis , Plantas Medicinais , Tecnologia de Sensoriamento Remoto , China
11.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4125-4128, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872688

RESUMO

Due to the large amount of nutrients required during the cultivation of Angelica sinensis and in order to prevent the occurrence of pests and diseases,and the annual reduction of the planting area of Angelica and the balance of supply and demand of A. sinensis,the A. sinensis plantation adopts the rotation mode. This paper takes Wuyuan county of Gansu province as the research scope and use GF-1 Satellite data as the data source,using remote sensing technology combined with field survey results,to explore the effective method of visual interpretation for the extraction of A. sinensis planting area. A sample was selected to generate a spectrum according to different feature types. The different characteristics of A. sinensis and other features were analyzed and distinguished in remote sensing images,so that the A. sinensis planting plots were extracted and verified in remote sensing images. The results showed that the accuracy verification value of the visual interpretation method was 95. 85%. It is determined that the visual interpretation method can effectively extract the A. sinensis planting plots within the research scope and realize the comprehensive grasp of the spatial distribution information of A. sinensis.


Assuntos
Angelica sinensis , Plantas Medicinais , Tecnologia de Sensoriamento Remoto , China
12.
Zhongguo Zhong Yao Za Zhi ; 44(19): 4129-4133, 2019 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-31872689

RESUMO

Traditional Chinese medicine is planted in mountainous areas with suitable natural conditions. The planting area is complex in terrain,and the planting plots are mostly irregularly shaped. It is difficult to accurately calculate the planting area by traditional survey methods. The method of extracting Chinese herbal medicine planting area combined with remote sensing and GIS technology is of great significance for the rational development and utilization of traditional Chinese medicine resources. Taking Bletilla striata planting in Ningshan county of Shaanxi province as an example,the extraction method of planting area of traditional Chinese medicine in county was studied. High-resolution ZY-3 and GF-1 multi-spectral multi-temporal remote sensing images were used as data sources. Through field sampling,samples such as B. striata,cultivated land,forest land,water body,artificial surface,alpine meadow,etc. are collected. The spectral features,texture features and shape features of remotely identifiable objects in different planting areas and cultivated land,vegetable sheds were analyzed,confusing ground objects were eliminated and interpretation marks were establish. The method of visual interpretation is used to realize the extraction of B. striata planting areas,and the B. striata planting area are calculated by combining GIS technology. The results showed that the method of visual interpretation,using high-resolution ZY-3 and GF-1 multi-spectral multi-temporal remote sensing image data extracted the planting area of 403.05 mu. It can effectively extract the B. striata planting area in research region.


Assuntos
Medicina Tradicional Chinesa , Orchidaceae , Tecnologia de Sensoriamento Remoto , Florestas
13.
Biomed Pharmacother ; 117: 109083, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31387169

RESUMO

BACKGROUND: Mitochondrial dysfunction is an important mechanism of non-alcoholic fatty liver disease (NAFLD). Developing mitochondrial regulators/nutrients from natural products to remedy mitochondrial dysfunction represent attractive strategies for NAFLD therapy. In China, Polygonatum kingianum (PK) has been used as a herb and food nutrient for centuries. So far, studies in which the effects of PK on NAFLD are evaluated are lacking. Our study aims at identifying the effects and mechanism of action of PK on NAFLD based on mitochondrial regulation. METHODS: A NAFLD rat model was induced by a high-fat diet (HFD) and rats were intragastrically given PK (1, 2 and 4 g/kg) for 14 weeks. Changes in body weight, food intake, histological parameters, organ indexes, biochemical parameters and mitochondrial indicators involved in oxidative stress, energy metabolism, fatty acid metabolism, and apoptosis were investigated. RESULTS: PK significantly inhibited the HFD-induced increase of alanine transaminase, aspartate transaminase, total cholesterol (TC), and low density lipoprotein cholesterol in serum, and TC and triglyceride in the liver. In addition, PK reduced high density lipoprotein cholesterol and liver enlargement without affecting food intake. PK also remarkably inhibited the HFD-induced increase of malondialdehyde and the reduction of superoxide dismutase, glutathione peroxidase, ATP synthase, and complex I and II, in mitochondria. Moreover, mRNA expression of carnitine palmitoyl transferase-1 and uncoupling protein-2 was significantly up-regulated and down-regulated after PK treatment, respectively. Finally, PK notably inhibited the HFD-induced increase of caspase 9, caspase 3 and Bax expression in hepatocytes, and the decrease of expression of Bcl-2 in hepatocytes and cytchrome c in mitochondria. CONCLUSION: PK alleviated HFD-induced NAFLD by promoting mitochondrial functions. Thus, PK may be useful mitochondrial regulators/nutrients to remedy mitochondrial dysfunction and alleviate NAFLD.


Assuntos
Mitocôndrias/efeitos dos fármacos , Doenças Mitocondriais/tratamento farmacológico , Hepatopatia Gordurosa não Alcoólica/tratamento farmacológico , Preparações de Plantas/farmacologia , Polygonatum/química , Alanina Transaminase/metabolismo , Animais , Aspartato Aminotransferases/metabolismo , Caspases/metabolismo , China , Dieta Hiperlipídica/efeitos adversos , Hepatócitos/efeitos dos fármacos , Hepatócitos/metabolismo , Hepatócitos/patologia , Resistência à Insulina/fisiologia , Metabolismo dos Lipídeos/efeitos dos fármacos , Fígado/efeitos dos fármacos , Fígado/metabolismo , Fígado/patologia , Masculino , Mitocôndrias/metabolismo , Mitocôndrias/patologia , Doenças Mitocondriais/metabolismo , Doenças Mitocondriais/patologia , Hepatopatia Gordurosa não Alcoólica/metabolismo , Hepatopatia Gordurosa não Alcoólica/patologia , Estresse Oxidativo/efeitos dos fármacos , Ratos , Ratos Sprague-Dawley , Superóxido Dismutase/metabolismo , Triglicerídeos/metabolismo , Regulação para Cima/efeitos dos fármacos
14.
Arch Pharm (Weinheim) ; 352(8): e1900024, 2019 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-31338897

RESUMO

A series of novel 3-(thiophen-2-ylthio)pyridine derivatives as insulin-like growth factor 1 receptor (IGF-1R) inhibitors was designed and synthesized. IGF-1R kinase inhibitory activities and cytotoxicities against HepG2 and WSU-DLCL2 cell lines were tested. For all of these compounds, potent cancer cell proliferation inhibitory activities were observed, but not through the inhibition of IGR-1R. Selected compounds were further screened against various kinases. Typical compound 22 (50% inhibitory concentration [IC50 ] values, HepG2: 2.98 ± 1.11 µM and WSU-DLCL2: 4.34 ± 0.84 µM) exhibited good inhibitory activities against fibroblast growth factor receptor-2 (FGFR2), FGFR3, epidermal growth factor receptor, Janus kinase, and RON (receptor originated from Nantes), with IC50 values ranging from 2.14 to 12.20 µM. Additionally, the cell-cycle analysis showed that compound 22 could arrest HepG2 cells in the G1/G0 phase. Taken together, all the experiments confirmed that the compounds in this series were multitarget anticancer agents worth further optimizing.

15.
Int J Endocrinol ; 2019: 6212681, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31001336

RESUMO

Aim: This study investigated the association of DNA methylation with Graves' orbitopathy (GO) incidence through a combined analysis in the context of biological network to identify and validate potential genes for Chinese patients with GO. Methods: A genome-scale screening of DNA methylation was performed on the peripheral blood sample of six patients with GO and six controls. After extracting differentially methylated regions (DMRs), the study focused on two classes of genes with obviously different methylation levels: low methylated genes (LMGs) and high methylated genes (HMGs). Mutual information was applied to construct LMG- and HMG-regulated networks, and the top 10 LMGs and HMGs were extracted based on the topological properties. Then, 9 candidate genes were extracted to validate their association with GO in an expanded population (48 patients with GO vs. 24 normal controls) using single-cell methylation sequencing. Results: In the LMG-regulated network, some LMGs displayed a higher degree, such as HIST1H2AL, EFCAB1, and BOLL. Similarly, in the HMG-regulated network, some HMGs, such as MBP, ANGEL1, and LYAR, also showed a higher degree. For validation using an enlarged population, BOLL still displayed the lower methylation level whereas CDK5 and MBP still displayed the higher methylation level in patients with GO in the multivariable logistic regression analysis adjusted by age and gender (P < 0.01). Conclusions: BOLL, CDK5, and MBP are potential genes associated with GO. This study was novel in clinically investigating the relation of these genomic loci with GO. The findings might provide new insights into understanding this disease.

16.
Ying Yong Sheng Tai Xue Bao ; 30(1): 285-291, 2019 Jan 20.
Artigo em Chinês | MEDLINE | ID: mdl-30907551

RESUMO

Remote sensing change detection based on fractional vegetation cover (FVC) has become an important way in the research of vegetation and related ecosystems. It is difficult to meet the requirement for optical remote sensing in subtropical areas because of cloudy/rainy weather conditions. Using images from different seasons in the vegetation change detection will inevitably lead to errors in the change detection results due to the seasonal difference. To overcome this problem, we proposed a method for correcting vegetation seasonal variations by taking advantage of high temporal resolution advantage of MODIS remote sensing data and the high spatial resolution of remote sensing data. Based on the relationship between MODIS vegetation data in different seasons via regression analysis, we transformed the vegetation information of the high resolution images of corresponding years to the required season of the years. The method was applied in the Aojiang basin area of Lianjiang County in Fujian Province, China, with good results of vegetation information transformation. The results showed that after transforming vegetation information of the 2007 winter scene and 2013 spring scene of high resolution images to those of summer season, the FVC was enhanced from 66.5% to 79.7% for 2007, and from 58.6% to 77.9% for 2013. Our method effectively removed the seasonal difference of FVC and improved the accuracy of the FVC-based change detection results.


Assuntos
Clima , Monitoramento Ambiental , China , Ecossistema , Estações do Ano
17.
Biomed Res Int ; 2019: 9565794, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30733969

RESUMO

Background: The pathogenesis Graves' Orbitopathy (GO) is not yet fully understood. Here, we conducted a pathway analysis based on genome-wide DNA methylation data of Chinese GO patients to explore GO-related pathways and potential feature genes. Methods: Six GO patients and 6 age-matched control individuals were recruited, and a genome-scale screen of DNA methylation was measured using their peripheral blood sample. After extracting the differentially methylated regions (DMRs), we classified DMRs into three clusters with respect to median absolute deviation (MAD) for GO and control group, respectively. Then the extract tests were performed to identify significant pathways by comparing the counts of genes in each cluster between GO and control group in a pathway. For each significant pathway, we calculated the Methylation-based Inference of Regulatory Activity (MIRA) score to infer the regulatory activity of genes involved in the pathway. Furthermore, we took the significant pathways as the subsets and applied Random forests (RF) method to extract GO-related feature genes. Results: We identified four potential significant pathways associated with the occurrence and development of GO disease. There were Toxoplasmosis, Axon guidance, Focal adhesion, and Proteoglycans in cancer (p<0.001 or p=0.007). The identified genes involved in the significant pathways, such as LDLR (p=0.019), CDK5 (p=0.036), and PIK3CB (p=0.020), were found to be correlated with GO phenotype. Conclusion: Our study suggested pathway analyses can help understand the potential relationships between the DNA methylation level of some certain genes and their regulation in Chinese GO patients.


Assuntos
Grupo com Ancestrais do Continente Asiático/genética , Metilação de DNA/genética , Genoma Humano , Oftalmopatia de Graves/genética , Transdução de Sinais/genética , Algoritmos , Regulação da Expressão Gênica , Ontologia Genética , Humanos , Masculino , Pessoa de Meia-Idade
18.
Diabetes Metab Res Rev ; 35(4): e3123, 2019 05.
Artigo em Inglês | MEDLINE | ID: mdl-30604460

RESUMO

BACKGROUND: Previous works indicated that the stress on the endoplasmic reticulum (ER) affected nonalcoholic fatty liver disease (NAFLD). However, there is no clear evident on the effect of the regulation of ER stress by angiotensin-converting enzyme 2 (ACE2) on the prevention of NAFLD. METHODS: HepG2 cells were treated with thapsigargin (Tg) or palmitic acid (PA). We analysed ACE2 expression using Western-blotting analyses. ER stress-related proteins were detected in ACE2 knockout mice and Ad-ACE2-treated db/db mice by immunofluorescence or Western-blotting analyses. In ACE2-overexpression HepG2 cells, the triglyceride (TG), total cholesterol (TC), and glycogen content were detected by assay kits. Meanwhile, the expression of hepatic lipogenic proteins (ACCα, SREBP-1c, FAS, and LXRα), enzymes for gluconeogenesis (PEPCK, G6Pase, and IRS2), and IKKß/NFκB/IRS1/Akt pathway were analysed by Western-blotting analyses. RESULTS: ACE2 was significantly increased in Tg/PA-induced cultured hepatocytes. Additionally, ACE2 knockout mice displayed elevated levels of ER stress, while Ad-ACE2-treated db/db mice showed reduced ER stress in liver. Furthermore, activation of ACE2 can ameliorate ER stress, accompanied by decreased TG content, increased intracellular glycogen, and downregulated expression of hepatic lipogenic proteins and enzymes for gluconeogenesis in Tg/PA-induced hepatocytes. As a consequence of anti-ER stress, the activation of ACE2 led to improved glucose and lipid metabolism through the IKKß/NFκB/IRS1/Akt pathway. CONCLUSIONS: This is the first time documented that ACE2 had a notable alleviating role in ER stress-induced hepatic steatosis and glucose metabolism via the IKKß/NFκB/IRS1/Akt-mediated pathway. This study may further provide insight into a novel underlying mechanism and a strategy for treating NAFLD.


Assuntos
Estresse do Retículo Endoplasmático , Gluconeogênese , Metabolismo dos Lipídeos , Hepatopatia Gordurosa não Alcoólica/prevenção & controle , Peptidil Dipeptidase A/fisiologia , Transdução de Sinais , Animais , Células Hep G2 , Humanos , Masculino , Camundongos , Camundongos Knockout , Hepatopatia Gordurosa não Alcoólica/enzimologia , Hepatopatia Gordurosa não Alcoólica/etiologia , Hepatopatia Gordurosa não Alcoólica/patologia , Triglicerídeos/metabolismo
19.
Cell Rep ; 25(13): 3800-3810.e6, 2018 12 26.
Artigo em Inglês | MEDLINE | ID: mdl-30590050

RESUMO

Glucose-stimulated insulin secretion from islet ß cells is mediated by KATP channels. However, the role of non-KATP K+ channels in insulin secretion is largely unknown. Here, we show that a non-KATP K+ channel, KCNH6, plays a key role in insulin secretion and glucose hemostasis in humans and mice. KCNH6 p.P235L heterozygous mutation co-separated with diabetes in a four-generation pedigree. Kcnh6 knockout (KO) or Kcnh6 p.P235L knockin (KI) mice had a phenotype characterized by changing from hypoglycemia with hyperinsulinemia to hyperglycemia with insulin deficiency. Islets from the young KO mice had increased intracellular calcium concentration and increased insulin secretion. However, islets from the adult KO mice not only had increased intracellular calcium levels but also had remarkable ER stress and apoptosis, associated with loss of ß cell mass and decreased insulin secretion. Therefore, dysfunction of KCNH6 causes overstimulation of insulin secretion in the short term and ß cell failure in the long term.


Assuntos
Diabetes Mellitus/patologia , Canais de Potássio Éter-A-Go-Go/metabolismo , Hiperinsulinismo/patologia , Secreção de Insulina , Potenciais de Ação , Adolescente , Adulto , Animais , Sequência de Bases , Diabetes Mellitus/genética , Canais de Potássio Éter-A-Go-Go/genética , Feminino , Genes Dominantes , Células HEK293 , Humanos , Células Secretoras de Insulina/metabolismo , Células Secretoras de Insulina/patologia , Ativação do Canal Iônico , Masculino , Camundongos Endogâmicos C57BL , Camundongos Knockout , Mutação/genética , Linhagem , Adulto Jovem
20.
Medicine (Baltimore) ; 97(41): e12767, 2018 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-30313088

RESUMO

Serum alanine aminotransferase (ALT) is a biomarker of hepatocyte damage. However, the relationship between normal range of serum ALT level and metabolic syndrome (MetS) has not been completely understood. This study aimed to investigate the correlation between normal range of serum ALT level and MetS.A total of 2453 participants from the Beijing Community Pre-Diabetes study were enrolled. Multiple linear regression analysis was performed to calculate the regression coefficient. Normal serum ALT levels were divided into quartiles. Logistic regression model was used to compare the relative risk of MetS, and the receiver operating characteristic (ROC) curve to calculate the optimal ALT boundary value for predicting MetS.The frequency of MetS increased with the ALT level within the normal range. Compared with the first group, the risk of MetS was greater in the other quartiles of ALT level in males, the difference was significant for the fourth group. For females, the risk of MetS increased with ALT level within the normal range as well, with all differences showing statistical significance. The optimal ALT boundary value of the ROC curve for males and females was 24.5 and 14.5 U/L, respectively.ALT was related to metabolic factors and used as one of the indicators to assess the morbidity risk of metabolic diseases.


Assuntos
Alanina Transaminase/sangue , Síndrome Metabólica/enzimologia , Adulto , Pequim/epidemiologia , Biomarcadores/sangue , China/epidemiologia , Feminino , Humanos , Modelos Logísticos , Masculino , Síndrome Metabólica/epidemiologia , Síndrome Metabólica/etiologia , Pessoa de Meia-Idade , Curva ROC , Valores de Referência , Fatores de Risco , Fatores Sexuais
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