Simvastatin reduces plasma cholesterol by inhibiting HMG-CoA reductase (HMGR) and is widely used in the treatment of hypercholesterolemia. To screening the possible genetic factors affecting the pharmacokinetics (PK) of simvastatin, 35 male Korean volunteers were enrolled from two separate bioequivalence studies. Each subject was administered 20 mg simvastatin and reference drug PK parameters were used. We used Illumina Human610Quad v1.0 DNA Analysis BeadChip for whole genome SNPs analysis and whole genome genotyping data was processed by linear regression analysis for PK parameters of drug metabolizing enzymes and transporters. We found 145 significant SNPs (P < 0.01) in C(max), 135 significant SNPs (P < 0.01) in T(max) and 85 significant SNPs (P < 0.01) in AUC(inf) from whole genome analysis. In particular, we found that the ABCC2 gene had a significant effect on C(max) and AUC(inf). These results could provide information of possible candidate genes for personalized simvastatin therapy.
Cholesterol ; DNA ; Genome ; Humans ; Hypercholesterolemia ; Linear Models ; Male ; Mass Screening* ; Oxidoreductases ; Pharmacogenetics ; Pharmacokinetics* ; Plasma ; Polymorphism, Genetic* ; Polymorphism, Single Nucleotide ; Simvastatin* ; Therapeutic Equivalency ; Volunteers

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Pioglitazone is known to have antidiabetic effects through decreasing peripheral, hepatic and vascular insulin resistance by the stimulation of PPAR gamma. To address the possible genetic factors affecting the pharmacokinetics (PK) of pioglitazone, 27 male Korean volunteers were enrolled from two separate bioequivalence studies. Each subject was administered 15 mg pioglitazone and reference drug PK parameters were used. We used Illumina Human610 Quad v1.0 DNA Analysis BeadChip for whole genome SNPs analysis and whole genome genotyping data was processed by linear regression analysis for PK parameters. We found 35 significant SNPs (P < 0.0001) in C(max), 1,118 significant SNPs (P < 0.0001) in T(max) and 1,259 significant SNPs (P < 0.0001) in AUC(inf) from whole genome analysis. For clinical pharmacological purpose, we selected SNPs from several phase I and II drug metabolizing enzyme and analyzed PK parameters with genotypes. Four SNPs (rs7761731 and rs3799872 from CYP39A1; rs156697 from GSTO2; rs1558139 from CYP4F2) showed significant associations with pioglitazone C(max). In the T(max) group, seven SNPs from 3 genes (rs3766198 from CYP4B1; rs2270422 from GSTZ1; rs2054675, rs10500282, rs3745274, rs8192719, and rs11673270 from CYP2B6) had significant associations. In the AUC(inf) group, seven SNPs from 4 genes (rs11572204 from CYP2J2; rs4148280 from UGT2A1, rs4646422 from CYP1A1; rs3745274, rs8192719, rs11673270, and rs707265 from CYP2B6) showed significant associations with pioglitazone absorption. These results showed that genetic makeup could affect the PK parameters and these informations could be provide information for personalized pioglitazone therapy.
Absorption ; Cytochrome P-450 CYP1A1 ; DNA ; Elvitegravir, Cobicistat, Emtricitabine, Tenofovir Disoproxil Fumarate Drug Combination ; Genome ; Genotype ; Humans ; Insulin Resistance ; Linear Models ; Male ; Mass Screening* ; Pharmacogenetics ; Pharmacokinetics* ; Polymorphism, Genetic* ; Polymorphism, Single Nucleotide ; PPAR gamma ; Therapeutic Equivalency ; Volunteers

Talniflumate is a phthalidyl ester of niflumic acid, which has potent analgesic and anti-inflammatory effects and is widely used to treat inflammatory disorders, such as rheumatoid arthritis. To screen the possible genetic factors affecting the pharmacokinetics (PK) of talniflumate, 23 male Korean volunteers were enrolled from two separate bioequivalence studies. All subjects received 740 mg (two tablets) talniflumate in a standard 2×2 cross-over model in a randomized order. For the genetic study, PK parameters of the reference drug were used. We used Illumina Human610Quad v1.0 DNA Analysis BeadChip for whole genome single nucleotide polymorphism (SNP) analysis and whole genome genotyping data were processed by linear regression analysis for PK parameters. Whole genome analysis revealed 1498 significant SNPs (P < 0.0001) for Cmax, 65 significant SNPs (P < 0.0001) for T(max), and 1491 significant SNPs (P < 0.0001) for AUC(inf). For clinical pharmacological purposes, we selected SNPs from drug metabolizing enzymes and transporters, and analyzed the PK parameters of various genotypes. Two SNPs (rs11165069 from ABCA4 (p=0.00002); rs17847036 from CYP2C9 (p=0.000001)) showed significant associations with talniflumate C(max). In the T(max) group, two SNPs (rs3787555 from CYP24A1 (p=0.00035); rs2275034 from ABCA4 (p=0.000587)) showed significant associations with talniflumate T(max). In the AUC(inf) group, two SNPs (rs11165069 from ABCA4 (p=0.00002); rs12461006 from SLC1A6 (p=0.00008)) exhibited significant associations with talniflumate absorption. These results show that genetic factors could affect the PK parameters, and provide information that may be used in the development of personalized talniflumate therapy.
Absorption ; Arthritis, Rheumatoid ; Cytochrome P-450 CYP2C9 ; DNA ; Genome ; Genotype ; Humans ; Linear Models ; Male ; Mass Screening* ; Niflumic Acid ; Pharmacogenetics ; Pharmacokinetics* ; Polymorphism, Genetic* ; Polymorphism, Single Nucleotide ; Therapeutic Equivalency ; Vitamin D3 24-Hydroxylase ; Volunteers

BACKGROUND AND PURPOSE: Recent advances in information technology have created opportunities for advances in the management of stroke. The objective of this study was to test the feasibility of using a smartphone software application (app) for the management of vascular risk factors in patients with stroke. METHODS: This prospective clinical trial developed a smartphone app, the 'Korea University Health Monitoring System for Stroke: KUHMS2,' for use by patients with stroke. During a 6-month follow-up period, its feasibility was assessed by measuring the changes in their vascular risk-factor profiles and the number of days per patient with data registration into the app. The effect of the app on the achievement rate of risk-factor targets was assessed by classifying subjects into compliant and noncompliant groups. RESULTS: At the end of the trial, data on 48 patients were analyzed. The number of days on which data were registered into the app was 60.42+/-50.17 (mean+/-standard deviation). Among predefined vascular risk factors, the target achievement rate for blood pressure and glycated hemoglobin (HbA1c) improved significantly from baseline to the final measurement. The serial changes in achievement rates for risk-factor targets did not differ between the compliant and noncompliant groups. CONCLUSIONS: Many challenges must be overcome before mobile apps can be used for patients with stroke. Nevertheless, the app tested in this study induced a shift in the risk profiles in a favorable direction among the included stroke patients.
Blood Pressure ; Delivery of Health Care ; Follow-Up Studies ; Hemoglobin A, Glycosylated ; Humans ; Mobile Applications* ; Prospective Studies ; Risk Factors* ; Stroke ; Smartphone

Erythropoietin-producing human hepatocellular carcinoma receptor B1 (EPHB1) is a member of the Eph family of receptor tyrosine kinases that mediate vascular system development. Eph receptor overexpression has been observed in various cancers and is related to the malignant transformation, metastasis, and differentiation of cancers, including hepatocellular carcinoma (HCC). Eph receptors regulate cell migration and attachment to the extracellular matrix by modulating integrin activity. EphrinB1, the ligand of EPHB1, has been shown to regulate HCC carcinogenesis. Here, we sought to determine whether EPHB1 polymorphisms are associated with hepatitis B virus (HBV)-infected liver diseases, including chronic liver disease (CLD) and HCC. We genotyped 26 EPHB1 single nucleotide polymorphisms (SNPs) in 399 Korean CLD, HCC, and LD (CLD+HCC) cases and seroconverted controls (HBV clearance, CLE) using the GoldenGate assay. Two SNPs (rs6793828 and rs11717042) and 1 haplotype that were composed of these SNPs were associated with an increased risk for CLD, HCC, and LD (CLD+HCC) compared with CLE. Haplotypes that could be associated with HBV-infected liver diseases by affecting downstream signaling were located in the Eph tyrosine kinase domain of EPHB1. Therefore, we suggest that EPHB1 SNPs, haplotypes, and diplotypes may be genetic markers for the progression of HBV-associated acute hepatitis to CLD and HCC.
Carcinoma, Hepatocellular ; Cell Movement ; Extracellular Matrix ; Genetic Markers ; Haplotypes ; Hepatitis ; Hepatitis B virus ; Humans ; Liver ; Liver Diseases ; Neoplasm Metastasis ; Phosphotransferases ; Polymorphism, Single Nucleotide ; Protein-Tyrosine Kinases ; Receptor, EphA1 ; Receptors, Eph Family ; Tyrosine

RAS guanyl-releasing protein 3 (RasGRP3), a member of the Ras subfamily of GTPases, functions as a guanosine triphosphate (GTP)/guanosine diphosphate (GDP)-regulated switch that cycles between inactive GDP- and active GTP-bound states during signal transduction. Various growth factors enhance hepatocellular carcinoma (HCC) proliferation via activation of the Ras/Raf-1/ extracellular signal-regulated kinase (ERK) pathway, which depends on RasGRP3 activation. We investigated the relationship between polymorphisms in RasGRP3 and progression of hepatitis B virus (HBV)-infected HCC in a Korean population. Nineteen RasGRP3 SNPs were genotyped in 206 patients with chronic liver disease (CLD) and 86 patients with HCC. Our results revealed that the T allele of the rs7597095 SNP and the C allele of the rs7592762 SNP increased susceptibility to HCC (OR=1.55, p=0.04 and OR=1.81~2.61, p=0.01~0.03, respectively). Moreover, patients who possessed the haplotype (ht) 1 ( A-T-C-G) or diplotype (dt) 1 ( ht1/ht1) variations had increased susceptibility to HCC (OR=1.79 ~2.78, p=0.01~0.03). In addition, we identified an association between haplotype1 (ht1) and the age of HCC onset; the age of HCC onset are earlier in ht1 +/+ than ht1 +/- or ht1 -/- (HR=0.42~0.66, p=0.006~0.015). Thus, our data suggest that RasGRP3 SNPs are significantly associated with an increased risk of developing HCC.
Alleles ; Carcinoma, Hepatocellular ; GTP Phosphohydrolases ; Guanosine Triphosphate ; Haplotypes ; Hepatitis B virus ; Humans ; Intercellular Signaling Peptides and Proteins ; Liver ; Liver Diseases ; Phospholipase C gamma ; Phosphotransferases ; Polymorphism, Single Nucleotide ; Polyphosphates ; Signal Transduction

Lipoprotein lipase (LPL) plays an essential role in the regulation of high-density lipoprotein cholesterol (HDLC) and triglyceride levels, which have been closely associated with cardiovascular diseases. Genetic studies in European have shown that LPL single-nucleotide polymorphisms (SNPs) are strongly associated with lipid levels. However, studies about the influence of interactions between LPL SNPs and lifestyle factors have not been sufficiently performed. Here, we examine if LPL polymorphisms, as well as their interaction with lifestyle factors, influence lipid concentrations in a Korean population. A two-stage association study was performed using genotype data for SNPs on the LPL gene, including the 3' flanking region from 7,536 (stage 1) and 3,703 (stage 2) individuals. The association study showed that 15 SNPs and 4 haplotypes were strongly associated with HDLC (lowest p = 2.86 x 10(-22)) and triglyceride levels (lowest p = 3.0 x 10(-15)). Interactions between LPL polymorphisms and lifestyle factors (lowest p = 9.6 x 10(-4)) were also observed on lipid concentrations. These findings suggest that there are interaction effects of LPL polymorphisms with lifestyle variables, including energy intake, fat intake, smoking, and alcohol consumption, as well as effects of LPL polymorphisms themselves, on lipid concentrations in a Korean population.
3' Flanking Region ; Alcohol Drinking ; Cardiovascular Diseases ; Cholesterol ; Cross-Sectional Studies ; Energy Intake ; Genotype ; Haplotypes ; Life Style ; Lipoprotein Lipase ; Lipoproteins ; Polymorphism, Single Nucleotide ; Smoke ; Smoking

Lipoprotein lipase (LPL) plays an essential role in the regulation of high-density lipoprotein cholesterol (HDLC) and triglyceride levels, which have been closely associated with cardiovascular diseases. Genetic studies in European have shown that LPL single-nucleotide polymorphisms (SNPs) are strongly associated with lipid levels. However, studies about the influence of interactions between LPL SNPs and lifestyle factors have not been sufficiently performed. Here, we examine if LPL polymorphisms, as well as their interaction with lifestyle factors, influence lipid concentrations in a Korean population. A two-stage association study was performed using genotype data for SNPs on the LPL gene, including the 3' flanking region from 7,536 (stage 1) and 3,703 (stage 2) individuals. The association study showed that 15 SNPs and 4 haplotypes were strongly associated with HDLC (lowest p = 2.86 x 10(-22)) and triglyceride levels (lowest p = 3.0 x 10(-15)). Interactions between LPL polymorphisms and lifestyle factors (lowest p = 9.6 x 10(-4)) were also observed on lipid concentrations. These findings suggest that there are interaction effects of LPL polymorphisms with lifestyle variables, including energy intake, fat intake, smoking, and alcohol consumption, as well as effects of LPL polymorphisms themselves, on lipid concentrations in a Korean population.
3' Flanking Region ; Alcohol Drinking ; Cardiovascular Diseases ; Cholesterol ; Cross-Sectional Studies ; Energy Intake ; Genotype ; Haplotypes ; Life Style ; Lipoprotein Lipase ; Lipoproteins ; Polymorphism, Single Nucleotide ; Smoke ; Smoking

Human embryonic stem (hES) cells are capable of differentiating into pluralistic cell types, however, spontaneous differentiation generally gives rise to a limited number of specific differentiated cell types and a large degree of cell heterogeneity. In an effort to increase the efficiency of specified hES cell differentiation, we performed a series of transient transfection of hES cells with EGFP expression vectors driven by different promoter systems, including human cellular polypeptide chain elongation factor 1 alpha (hEF1alpha), human cytomegalo-virus, and chicken beta-actin. All these promoters were found to lead reporter gene expression in undifferentiated hES cells, but very few drug-selectable transfectants were obtained and failed to maintain stable expression of the transgene with either chemical or electroporation methods. In an attempt to increase transfection efficiency and obtain stable transgene expression, differentiated hES cells expressing both mesodermal and ectodermal markers were derived using a defined medium. Differentiated hES cells were electroporated with a hEF1alpha promoter-driven EGFP or human noggin expression vector. Using RT-PCR, immunocytochemistry and fluorescence microscopy, the differentiated hES cells transfected with foreign genes were confirmed to retain stable gene and protein expression during prolonged culture. These results may provide a new tool for introducing exogenous genes readily into hES cells, thereby facilitating more directed differentiation into specific and homogenous cell populations.
Actins/genetics ; Animals ; Bone Morphogenetic Proteins/genetics ; *Cell Differentiation ; Chickens ; Cytomegalovirus/genetics ; Drug Delivery Systems ; Embryo/*cytology ; *Gene Therapy ; Green Fluorescent Proteins/genetics/*metabolism ; Humans ; Immunoenzyme Techniques ; Microscopy, Fluorescence ; Peptide Elongation Factor 1/genetics ; Pluripotent Stem Cells/*cytology ; Promoter Regions (Genetics)/*genetics ; Research Support, Non-U.S. Gov't ; Reverse Transcriptase Polymerase Chain Reaction ; Transcription, Genetic/genetics