1.Gene-metabolite network analysis in different nonalcoholic fatty liver disease phenotypes.
Xiao Lin LIU ; Ya Nan MING ; Jing Yi ZHANG ; Xiao Yu CHEN ; Min De ZENG ; Yi Min MAO
Experimental & Molecular Medicine 2017;49(1):e283-
We sought to identify common key regulators and build a gene-metabolite network in different nonalcoholic fatty liver disease (NAFLD) phenotypes. We used a high-fat diet (HFD), a methionine-choline-deficient diet (MCDD) and streptozocin (STZ) to establish nonalcoholic fatty liver (NAFL), nonalcoholic steatohepatitis (NASH) and NAFL+type 2 diabetes mellitus (T2DM) in rat models, respectively. Transcriptomics and metabolomics analyses were performed in rat livers and serum. A functional network-based regulation model was constructed using Cytoscape with information derived from transcriptomics and metabolomics. The results revealed that 96 genes, 17 liver metabolites and 4 serum metabolites consistently changed in different NAFLD phenotypes (>2-fold, P<0.05). Gene-metabolite network analysis identified ccl2 and jun as hubs with the largest connections to other genes, which were mainly involved in tumor necrosis factor, P53, nuclear factor-kappa B, chemokine, peroxisome proliferator activated receptor and Toll-like receptor signaling pathways. The specifically regulated genes and metabolites in different NAFLD phenotypes constructed their own networks, which were mainly involved in the lipid and fatty acid metabolism in HFD models, the inflammatory and immune response in MCDD models, and the AMPK signaling pathway and response to insulin in HFD+STZ models. Our study identified networks showing the general and specific characteristics in different NAFLD phenotypes, complementing the genetic and metabolic features in NAFLD with hepatic and extra-hepatic manifestations.
AMP-Activated Protein Kinases
;
Animals
;
Complement System Proteins
;
Diabetes Mellitus
;
Diet
;
Diet, High-Fat
;
Insulin
;
Liver
;
Metabolism
;
Metabolomics
;
Models, Animal
;
Non-alcoholic Fatty Liver Disease*
;
Peroxisomes
;
Phenotype
;
Rats
;
Streptozocin
;
Toll-Like Receptors
;
Tumor Necrosis Factor-alpha
2.Gene-metabolite network analysis in different nonalcoholic fatty liver disease phenotypes.
Xiao Lin LIU ; Ya Nan MING ; Jing Yi ZHANG ; Xiao Yu CHEN ; Min De ZENG ; Yi Min MAO
Experimental & Molecular Medicine 2017;49(1):e283-
We sought to identify common key regulators and build a gene-metabolite network in different nonalcoholic fatty liver disease (NAFLD) phenotypes. We used a high-fat diet (HFD), a methionine-choline-deficient diet (MCDD) and streptozocin (STZ) to establish nonalcoholic fatty liver (NAFL), nonalcoholic steatohepatitis (NASH) and NAFL+type 2 diabetes mellitus (T2DM) in rat models, respectively. Transcriptomics and metabolomics analyses were performed in rat livers and serum. A functional network-based regulation model was constructed using Cytoscape with information derived from transcriptomics and metabolomics. The results revealed that 96 genes, 17 liver metabolites and 4 serum metabolites consistently changed in different NAFLD phenotypes (>2-fold, P<0.05). Gene-metabolite network analysis identified ccl2 and jun as hubs with the largest connections to other genes, which were mainly involved in tumor necrosis factor, P53, nuclear factor-kappa B, chemokine, peroxisome proliferator activated receptor and Toll-like receptor signaling pathways. The specifically regulated genes and metabolites in different NAFLD phenotypes constructed their own networks, which were mainly involved in the lipid and fatty acid metabolism in HFD models, the inflammatory and immune response in MCDD models, and the AMPK signaling pathway and response to insulin in HFD+STZ models. Our study identified networks showing the general and specific characteristics in different NAFLD phenotypes, complementing the genetic and metabolic features in NAFLD with hepatic and extra-hepatic manifestations.
AMP-Activated Protein Kinases
;
Animals
;
Complement System Proteins
;
Diabetes Mellitus
;
Diet
;
Diet, High-Fat
;
Insulin
;
Liver
;
Metabolism
;
Metabolomics
;
Models, Animal
;
Non-alcoholic Fatty Liver Disease*
;
Peroxisomes
;
Phenotype
;
Rats
;
Streptozocin
;
Toll-Like Receptors
;
Tumor Necrosis Factor-alpha
3.Serine Proteases of Parasitic Helminths
Yong YANG ; Yun jun WEN ; Ya Nan CAI ; Isabelle VALLEE ; Pascal BOIREAU ; Ming Yuan LIU ; Shi Peng CHENG
The Korean Journal of Parasitology 2015;53(1):1-11
Serine proteases form one of the most important families of enzymes and perform significant functions in a broad range of biological processes, such as intra- and extracellular protein metabolism, digestion, blood coagulation, regulation of development, and fertilization. A number of serine proteases have been identified in parasitic helminths that have putative roles in parasite development and nutrition, host tissues and cell invasion, anticoagulation, and immune evasion. In this review, we described the serine proteases that have been identified in parasitic helminths, including nematodes (Trichinella spiralis, T. pseudospiralis, Trichuris muris, Anisakis simplex, Ascaris suum, Onchocerca volvulus, O. lienalis, Brugia malayi, Ancylostoma caninum, and Steinernema carpocapsae), cestodes (Spirometra mansoni, Echinococcus granulosus, and Schistocephalus solidus), and trematodes (Fasciola hepatica, F. gigantica, and Schistosoma mansoni). Moreover, the possible biological functions of these serine proteases in the endogenous biological phenomena of these parasites and in the host-parasite interaction were also discussed.
Animals
;
Cestoda/classification
;
Cestoda/enzymology
;
Cestoda/growth & development
;
Cestoda/physiology
;
Host-Parasite Interactions
;
Life Cycle Stages
;
Nematoda/classification
;
Nematoda/enzymology
;
Nematoda/growth & development
;
Nematoda/physiology
;
Serine Proteases/genetics
;
Serine Proteases/metabolism
;
Trematoda/classification
;
Trematoda/enzymology
;
Trematoda/growth & development
;
Trematoda/physiology