Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
Add more filters










Database
Publication year range
1.
Mar Drugs ; 19(7)2021 Jun 23.
Article in English | MEDLINE | ID: mdl-34201595

ABSTRACT

Penicillium oxalicum k10 isolated from soil revealed the hydrolyzing ability of shrimp chitin and antifungal activity against Sclerotinia sclerotiorum. The k10 chitinase was produced from a powder chitin-containing medium and purified by ammonium sulfate precipitation and column chromatography. The purified chitinase showed maximal activity toward colloidal chitin at pH 5 and 40 °C. The enzymatic activity was enhanced by potassium and zinc, and it was inhibited by silver, iron, and copper. The chitinase could convert colloidal chitin to N-acetylglucosamine (GlcNAc), (GlcNAc)2, and (GlcNAc)3, showing that this enzyme had endocleavage and exocleavage activities. In addition, the chitinase prevented the mycelial growth of the phytopathogenic fungi S. sclerotiorum and Mucor circinelloides. These results indicate that k10 is a potential candidate for producing chitinase that could be useful for generating chitooligosaccharides from chitinous waste and functions as a fungicide.


Subject(s)
Antifungal Agents/pharmacology , Chitin/chemistry , Chitinases/pharmacology , Penicillium/chemistry , Animals , Aquatic Organisms , Fungi/drug effects
2.
J Cell Physiol ; 234(7): 10640-10645, 2019 07.
Article in English | MEDLINE | ID: mdl-30536533

ABSTRACT

Asymmetric dimethylarginine (ADMA) plays a vital role in the regulation of insulin sensitivity and has been shown as a potential marker for various disease, including type 2 diabetes mellitus (DM2). However, the correlation between ADMA and impaired glucose tolerance (IGT) and obesity has not been studied. A total of 195 subjects were involved in our study. The characteristics of the subjects in the study cohort were measured and analyzed. We found that the serum ADMA and C-reactive protein levels were significantly increased in IGT and diabetic patients, whereas the levels of lipoprotein A and adiponectin were decreased, especially in diabetic patients with obesity. The serum ADMA level was positively correlated to a homeostatic model assessment for insulin resistance, and multivariate regression analysis further indicated that ADMA was an independent factor for DM patients with obesity. Our study expands the understanding of the complicated relationship between obesity, insulin resistance, IGT, and ADMA. In addition, we demonstrated that the serum ADMA level could serve as a diagnositic biomarker of the early signs for IGT patients with obesity.


Subject(s)
Arginine/analogs & derivatives , Diabetes Mellitus, Type 2/blood , Glucose Intolerance/blood , Obesity/blood , Aged , Arginine/blood , Biomarkers/blood , Blood Glucose , C-Reactive Protein/metabolism , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/pathology , Female , Glucose Intolerance/complications , Glucose Intolerance/pathology , Glucose Tolerance Test , Humans , Insulin Resistance/genetics , Male , Middle Aged , Obesity/complications , Obesity/pathology
3.
J Cell Biochem ; 120(5): 7474-7481, 2019 May.
Article in English | MEDLINE | ID: mdl-30506883

ABSTRACT

Insulin resistance is associated with impaired glucose uptake and altered protein kinase B (Akt) signaling. Previous studies have suggested asymmetric dimethylarginine (ADMA) and inflammation are two distinguish factors that correlate with insulin resistance (IR). How ADMA and inflammation factors interact and synchronize in the regulation of IR in liver remain to be elucidated. In this study, we systematically investigated whether ADMA is involved in IR using primary hepatocytes, if yes, by via which molecular mechanism. Our results demonstrated that ADMA inhibits insulin sensitivity in a concentration-dependent manner by activating inflammation factors tumor necrosis factor (TNF)-α, interleukin (IL)-1, and IL-6 in primary hepatocytes. Further analysis revealed that mitogen-activated protein kinase (MAPK) signaling pathway act downstream of ADMA and inflammation factors, and inhibition of MAPK pathway rescued the IR. Furthermore, metformin effects has been found which could reverse ADMA-induced IR by suppressing MAPK signaling pathway. To our knowledge, we, for the first time, unveiled the complicated regulatory network and interactions among ADMA, inflammation, and MAPK signaling pathway, which advanced current research on the development and regulation of IR in liver. This study also certainly provided novel insights on comprehensive diagonistics roles of ADMA as a potential biomarker.

4.
J Cell Physiol ; 233(11): 8551-8557, 2018 11.
Article in English | MEDLINE | ID: mdl-29319171

ABSTRACT

Although diabetes mellitus (DM) is reported as an independent risk factor for colorectal cancer (CRC) in many researches, the underlying pathophysiology is still unclear. We investigated the differentially expressed genes (DEGs) for the diabetes and CRC to reveal the underlying pathophysiological association between the type 2-diabetic (T2D) and CRC. Gene expression profiles for T2D (GSE55650), CRC (GSE8671), and Metformin treated cell lines (GSE67342) were downloaded from GEO database. The DEGs between T2D samples and their control samples were identified with t-test and variance analysis. After cluster analysis and functional enrichment analysis, protein-protein interaction (PPI) network was constructed to find potential genes for diabetes and CRC in Metformin's treatment. Totally, we identified 583 overlapped genes, 169 common DEGs, and 414 independent DEGs between T2D and CRC samples. The common genes contained 89 up-regulated (DEGs1) and 80 down-regulated genes (DEGs3); and independent DEGs contained 270 down-regulated genes (DEGs4) in diabetes and 144 down-regulated genes (DEGs2) in CRC. In enrichment analysis, the Ribosome pathway was significantly enriched by the independent DEGs. The common genes were mainly enriched in some inflammatory related pathways. Two target genes of Metformin were significantly interacted with six hub genes (HADHB, NDUFS3, TAF1, MYC, HNFF4A, and MAX) with significant changes in expression values (P < 0.05, t-test). To summary, it is suggested that the six hub genes might play important roles in the process of Metformin treatment for diabetes and CRC. However, specific pathology remains to be further studied.


Subject(s)
Colorectal Neoplasms/genetics , Diabetes Mellitus, Type 2/genetics , Protein Interaction Maps/genetics , Colorectal Neoplasms/complications , Colorectal Neoplasms/drug therapy , Colorectal Neoplasms/pathology , Computational Biology , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/drug therapy , Diabetes Mellitus, Type 2/pathology , Gene Expression Regulation, Neoplastic/genetics , Humans , Metformin/therapeutic use , MicroRNAs/genetics , Risk Factors , Transcriptome/genetics
5.
Guang Pu Xue Yu Guang Pu Fen Xi ; 31(9): 2332-6, 2011 Sep.
Article in Chinese | MEDLINE | ID: mdl-22097821

ABSTRACT

Near-infrared (NIR) luminescence phosphors ACaPO4 : Eu2+, Nd2+ (A = Li, K, Na) were prepared by conventional solid state method and the sensitization of Nd3+ near-infrared luminescence by Eu2+ was investigated. The characteristic NIR luminescence of Nd3+ in ACaPO4 matrix is greatly enhanced by co-doping of Eu2+. The fluorescence properties of ACaPO4 : Eu2+, the NIR luminescence properties of ACaPO4 : Eu2+, Nd3+ and the fluorescence lifetime were studied. The effect of emission wavelength of Eu2+ on NIR luminescence of Nd3+ was investigated; The energy transfer mechanism between Eu2+ and Nd3+ was also discussed. Emission peak wavelength of Eu2+ In ACaPO4 matrixes was found red shift with the series of A = Li, K, Na and the extent of the overlap with the different excitation peaks of Nd3+ changes obviously. It was concluded that the emission peak position of Eu2+ is a very important factor for energy transfer, and the optimal wavelength range for Eu2+ --> Nd3+ energy transfer is 500 to 550 nm.

6.
Yi Chuan ; 33(4): 389-96, 2011 Apr.
Article in Chinese | MEDLINE | ID: mdl-21482530

ABSTRACT

Peanut bacterial wilt (BW) caused by Ralstonia solanacearum is one of the most devastating diseases for peanut production in the world. It is believed that breeding and subsequent planting BW-resistant cultivars of peanut (Arachis hypogaea L.) should represent the most effective and economic means of controlling the disease. To illustrate the molecular mechanism of peanut resistant to BW, a BW-resistant cultivar, 'Yuanza 9102', and a BW-sensitive one, 'Zhonghua 12', were infected with Ralstonia solanacearum and differential expression of the genes related to BW-resistance was analyzed using complementary DNA amplified length polymorphism (cDNA-AFLP) technique. The infected 3-leaflet seedlings were followed for 48 h and root samples were taken at 0, 2, 10, 24 and 48 h after inoculation, respectively. A total of 12596 transcript-derived fragments (TDFs) were amplified with 256 primer combinations, including 709 differential expressed TDFs, which were generated from 119 primer combinations. Ninety-eight TDFs were randomly chosen for DNA sequence analysis. BLASTx analysis of the obtained sequences revealed that 40 TDFs encoded gene products associated with energy, transcription, signal transduction, defense, metabolism, cell growth, cell structure or/and protein synthesis. Analysis of the expression of four genes by qRT-PCR verified the results from cDNA-AFLP. Strikingly, one of the identified TDFs, 32-54-1, occurred for 47 times in a known BW-resistant SSH library. These results suggest that resistance to BW in peanut involves multifaceted biochemical and physiological reactions, including regulation of the genes involved in different pathways, such as defense, singal transduction, metabolism, transcription and abiotic stresses. The TDF 32-54-1 was predicted to be closely related to BW resistance in peanut.


Subject(s)
Arachis/genetics , Arachis/microbiology , Gene Expression Profiling , Plant Diseases/genetics , Ralstonia solanacearum , Amplified Fragment Length Polymorphism Analysis , Reverse Transcriptase Polymerase Chain Reaction
SELECTION OF CITATIONS
SEARCH DETAIL
...