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W.-S. Yang,
C. A. Hsiung,
L.-T. Ho,
Y.-T. Chen,
C.-T. He,
J. D. Curb,
J. Grove,
T. Quertermous,
Y.-D. I. Chen, S.-S. Kuo,
L.-M. Chuang,
the Sapphire Study Group
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ABSTRACT: Aims/hypothesisGenetic interactions in modulating the phenotypes of a complex trait, such as insulin sensitivity, were usually taken for granted. However, this has not been commonly shown. Previous studies have suggested that both PPAR2 and adiponectin genes could influence insulin sensitivity. Therefore it is likely that they could modulate insulin sensitivity through gene to gene interactions.MethodsWe genotyped 1793 subjects of Chinese and Japanese descendents from 601 hypertensive families recruited in Sapphire study for a T94G in the adiponectin gene exon 2 and the PPAR2 Pro12Ala polymorphisms. Serum insulin concentrations and insulin resistance index (HOMAIR) were used as the markers of insulin sensitivity.ResultsWe found that the T allele of adiponectin gene was associated with a higher Ins60 and higher area under curve of insulin (AUCi) in OGTT utilizing all subjects in a mixed model that corrected for family effects. Important interactions between adiponectin and PPAR2 genotypes were found in fasting insulin concentrations (Ins0), insulin concentrations at 2-h (Ins120) in OGTT and insulin resistance index (HOMAIR). The main effects of the PPAR2 genotypes were in the plasma glucose concentrations in OGTT. In contrast, the main effects of adiponectin genotypes were in every insulin variable, including Ins0, Ins60, Ins120, AUCi and HOMAIR. The subjects carrying the adiponectin G allele and the PPAR2 Ala12 allele seemed to be more insulin sensitive.Conclusion/interpretationThese results showed that adiponectin is a genetic factor associated with insulin sensitivity. Interactions with PPAR2 genotypes modified this association.
Diabetologia 04/2012; 46(7):977-983. · 6.81 Impact Factor
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ABSTRACT: We used a reversal imprinting-in-metal (RIM) process to fabricate various three-dimensional (3D) metal structures under low pressure. Molds featuring different shapes were used to pattern various subwavelength metal structures, including pyramidal, hole-array, and crater-like structures. Refractive index matching and cavity effects both enhanced the degree of transmission of these structured metal films. The crater-like structure appears to be a promising material because of the unique properties imparted by the elongated and gradually tapering spacing of its cavities. From both near-field simulations and experimentally obtained optical spectra, we found that the cavity effect in the crater-like structure led to significantly enhanced transmission of the optical intensity. Thus, this RIM process allows the ready fabrication of various two- and three-dimensional metallic structures for use in surface plasmon-based devices.
Optics Express 03/2009; 17(3):1636-45. · 3.59 Impact Factor
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ABSTRACT: In this paper, we describe a thermal embossing imprint method, which we name "nano-imprinting in metal" (NIM), for patterning metal films with a variety of profiles. Metal films exhibiting either perforated hole-arrays or corrugated structures with various surface morphologies can be fabricated rapidly. The SPR phenomenon allowed energy coupling to the other side of the textured metal film, causing a dramatic increase in the transmission. As a technique for readily controlling the working wavelength and transmittance, the NIM method has great potential for application in various optoelectronic devices.
Optics Express 03/2008; 16(4):2415-22. · 3.59 Impact Factor
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ABSTRACT: Apolipoprotein AV (APOA5) is an important determinant of plasma triglyceride concentration. This study aimed to investigate the relationship of an amino acid substitution at position 182 (G182C) of the apolipoprotein AV (APOA5) gene with triglyceride concentration in a Taiwanese population.
This study enrolled two cohorts: non-diabetic subjects (112 males and 89 females) aged 50.3+/-11.0 years (mean+/-sd) and diabetic subjects (106 males and 96 females) aged 62.1+/-10.3 years. The relationship between the G182C polymorphism (rs 2075291) and plasma triglycerides was examined. Demographic and metabolic parameters including age, sex, body mass index, fasting plasma glucose and total cholesterol were also obtained.
The G182C polymorphism was a determinant of plasma triglycerides in both non-diabetic (P=0.022) and diabetic (P=0.003) groups, independent of age, gender, fasting plasma glucose, body mass index and total cholesterol. In the diabetic group, this genetic polymorphism interacts significantly (P=0.032) with fasting plasma glucose concentration on plasma triglycerides after adjustment for age, sex, body mass index and total cholesterol.
In conclusion, the G182C polymorphism of the APOA5 gene affects plasma triglycerides in both non-diabetic and diabetic populations. The observed interaction of gene and glycaemic control further indicates a multifactorial nature of clinical phenotypes in subjects with Type 2 diabetes.
Diabetic Medicine 01/2006; 22(12):1690-5. · 2.90 Impact Factor
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W-S Yang,
C A Hsiung,
L-T Ho,
Y-T Chen,
C-T He,
J D Curb,
J Grove,
T Quertermous,
Y-D I Chen, S-S Kuo,
L-M Chuang
[show abstract]
[hide abstract]
ABSTRACT: Genetic interactions in modulating the phenotypes of a complex trait, such as insulin sensitivity, were usually taken for granted. However, this has not been commonly shown. Previous studies have suggested that both PPARgamma2 and adiponectin genes could influence insulin sensitivity. Therefore it is likely that they could modulate insulin sensitivity through gene to gene interactions.
We genotyped 1793 subjects of Chinese and Japanese descendents from 601 hypertensive families recruited in Sapphire study for a T94G in the adiponectin gene exon 2 and the PPARgamma2 Pro12Ala polymorphisms. Serum insulin concentrations and insulin resistance index (HOMA(IR)) were used as the markers of insulin sensitivity.
We found that the T allele of adiponectin gene was associated with a higher Ins60 and higher area under curve of insulin (AUCi) in OGTT utilizing all subjects in a mixed model that corrected for family effects. Important interactions between adiponectin and PPARgamma2 genotypes were found in fasting insulin concentrations (Ins0), insulin concentrations at 2-h (Ins120) in OGTT and insulin resistance index (HOMA(IR)). The main effects of the PPARgamma2 genotypes were in the plasma glucose concentrations in OGTT. In contrast, the main effects of adiponectin genotypes were in every insulin variable, including Ins0, Ins60, Ins120, AUCi and HOMA(IR). The subjects carrying the adiponectin G allele and the PPARgamma2 Ala12 allele seemed to be more insulin sensitive.
These results showed that adiponectin is a genetic factor associated with insulin sensitivity. Interactions with PPARgamma2 genotypes modified this association.
Diabetologia 08/2003; 46(7):977-83. · 6.81 Impact Factor
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ABSTRACT: Severe hemolytic anemia in patients with disseminated tuberculosis is exceedingly rare. We report an episode of Coombs'-positive hemolytic anemia in a previously healthy young man with miliary tuberculosis, resulting in a hemoglobin level of 5 g/dL and an undetectable haptoglobin level. The patient responded well to treatment with antituberculosis drugs, and the results of the direct Coombs' test became negative without the need of blood transfusion or steroid therapy.
Chest 07/2001; 119(6):1961-3. · 5.25 Impact Factor
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ABSTRACT: In order to determine whether an ampicillin resistance gene in a chimeric plasmid is active in transformed yeast cells, it is necessary to have a simple and quick assay procedure. We describe here a procedure for achieving this goal using an iodometric color reaction. This method is based on the fact that the ampicillin resistance gene product, beta-lactamase, can hydrolyze penicillin G and release a reducing product, which can be visualized by the discoloration of a dark blue iodine-starch complex. We have improved this method so that the assay can be carried out on agar plate and in liquid culture. It permits the detection of the beta-lactamase enzyme activity in yeast liquid culture at a concentration as low as 1 X 10(5) cells/ml within 12 h. This method is especially useful for certain yeast transformation systems, such as industrial yeast cultures, where the transformants can be selected only by drug resistance.
Analytical Biochemistry 03/1989; 177(1):165-7. · 3.00 Impact Factor
