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1.
PLoS One ; 8(2): e56365, 2013.
Artículo en Inglés | MEDLINE | ID: mdl-23431371

RESUMEN

Since the KCNB1 encoding Kv2.1 channel accounts for the majority of Kv currents modulating insulin secretion by pancreatic islet beta-cells, we postulated that KCNB1 is a plausible candidate gene for genetic variation contributing to the variable compensatory secretory function of beta-cells in type-2 diabetes (T2D). We conducted two studies, a case-control study and a cross-section study, to investigate the association of common single-nucleotide polymorphisms (SNPs) in KCNB1 with T2D and its linking traits. In the case-control study, we first examined the association of 20 tag SNPs of KCNB1 with T2D in a population with 226 T2D patients and non-diabetic subjects (screening study). We then identified the association in an enlarged population of 412 T2D patients and non-diabetic subjects (replication study). In the cross-sectional study, we investigated the linkage between the candidate SNP rs1051295 and T2D by comparing beta-cell function and insulin sensitivity among rs1051295 genotypes in a general population of 1051 subjects at fasting and after glucose loading (oral glucose tolerance tests, OGTT) in 84 fasting glucose impaired subjects, and several T2D-related traits. We found that among the 19 available tag SNPs, only the KCNB1 rs1051295 was associated with T2D (P = 0.027), with the rs1051295 TT genotype associated with an increased risk of T2D compared with genotypes CC (P = 0.009). At fasting, rs1051295 genotype TT was associated with a 9.8% reduction in insulin sensitivity compared to CC (P = 0.008); along with increased plasma triglycerides (TG) levels (TT/CC: P = 0.046) and increased waist/hip (W/H) ratio (TT/CC: P = 0.013; TT/TC: P = 0.002). OGTT confirmed that genotype TT exhibited reduced insulin sensitivity by 16.3% (P = 0.030) compared with genotype TC+CC in a fasting glucose impaired population. The KCNB1 rs1051295 genotype TT in the Chinese Han population is associated with decreased insulin sensitivity and increased plasma TG and W/H ratio, which together contribute to an increased risk for T2D.


Asunto(s)
Diabetes Mellitus Tipo 2/genética , Polimorfismo de Nucleótido Simple , Canales de Potasio Shab/genética , Regiones no Traducidas 3' , Anciano , Anciano de 80 o más Años , Pueblo Asiatico , Glucemia , Estudios de Casos y Controles , Estudios Transversales , Diabetes Mellitus Tipo 2/sangre , Femenino , Frecuencia de los Genes , Estudios de Asociación Genética , Prueba de Tolerancia a la Glucosa , Humanos , Insulina/sangre , Resistencia a la Insulina/genética , Masculino , Persona de Mediana Edad
2.
J Proteome Res ; 10(11): 4959-69, 2011 Nov 04.
Artículo en Inglés | MEDLINE | ID: mdl-21939225

RESUMEN

N-glycans play an essential role in biological process and are associated with age, gender, and body mass parameters in Caucasian populations, whereas no study has been reported in Chinese populations. To investigate the correlation between N-glycan structures and metabolic syndrome (MetS) components, we conducted a population-based study in 212 Chinese Han individuals. The replication study was performed on 520 unrelated individuals from a Croatian island Korcula. The most prominent observation was the consistent positive correlations between different forms of triantennary glycans and negative correlations between glycans containing core-fucose with MetS components including BMI, SBP, DBP, and fasting plasma glucose (FPG) simultaneously. Significant differences in a number of N-glycan traits were also detected between normal and abnormal groups of BMI, BP, and FPG, respectively. In the multivariate analysis, the level of monosialylated glycans (structure loadings = -0.776) was the most correlated with the MetS related risk factors, especially with SBP (structure loadings = 0.907). Results presented here are showing that variations in the composition of the N-glycome in human plasma could represent the alternations of human metabolism and could be potential biomarkers of MetS.


Asunto(s)
Síndrome Metabólico/sangre , Polisacáridos/sangre , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Pueblo Asiatico , Biomarcadores/sangre , Proteínas Sanguíneas/química , Secuencia de Carbohidratos , China , Croacia , Femenino , Glicoproteínas/química , Glicosilación , Humanos , Masculino , Síndrome Metabólico/etnología , Persona de Mediana Edad , Datos de Secuencia Molecular , Análisis Multivariante , Población Blanca , Adulto Joven
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