10% in the Caucasian
population were selected with the density 1 per haplotype block
(htSNPs) in the TKT gene (MIM no. 606781, chrom. 3p14.3). In
pilot experiments those with high pair-wise LD were excluded,
remaining 6 SNPs (rs2279323, rs3736156, rs1051483, rs12487632,
rs968702 and rs13101181) to be genotyped in the whole study
sample. SNPs were detected by means of polymerase chain
reaction (PCR) using fluorescent-labelled probes (TaqMan,
Applied Biosystems). Haplotypes were constructed based on
genotype data using Bayesian algorithm (PHASE). Differences in
haplotype frequencies between the groups will be tested by
permutation testing. Logistic regression (incl. input variables
such as age and gender, DM duration, fasting glycemia, HbA1c,
microalbuminuria, proteinuria and GFR), survival analysis
(Kaplan-Meier) and Cox proportional hazard regression were used
to assess the risk of disease-associated haplotypes.
Conclusions: Results suggest that TKT variability might play a
role in the individual susceptibility to the development of DN.">
10% in the Caucasian
population were selected with the density 1 per haplotype block
(htSNPs) in the TKT gene (MIM no. 606781, chrom. 3p14.3). In
pilot experiments those with high pair-wise LD were excluded,
remaining 6 SNPs (rs2279323, rs3736156, rs1051483, rs12487632,
rs968702 and rs13101181) to be genotyped in the whole study
sample. SNPs were detected by means of polymerase chain
reaction (PCR) using fluorescent-labelled probes (TaqMan,
Applied Biosystems). Haplotypes were constructed based on
genotype data using Bayesian algorithm (PHASE). Differences in
haplotype frequencies between the groups will be tested by
permutation testing. Logistic regression (incl. input variables
such as age and gender, DM duration, fasting glycemia, HbA1c,
microalbuminuria, proteinuria and GFR), survival analysis
(Kaplan-Meier) and Cox proportional hazard regression were used
to assess the risk of disease-associated haplotypes.
Conclusions: Results suggest that TKT variability might play a
role in the individual susceptibility to the development of DN.">
Objective: Accumulation of proximal glycolytic intermediates - due to the allosteric inhibition of enzymes, changed NADH/NAD+ ratio and modification of the glycolytic enzyme glyceraldehyd-3-phosphate dehydrogenase provides substrates for the metabolic pathways plays contributing to the pathogenesis of diabetic complications (such as formation of Advanced Glycation End-products (AGEs), polyols, hexosamines etc.). Pentose phosphate pathway (PPP) represents potentially "protective" mechanism in hyperglycemia since shunting of cumulated glycolytic intermediates (esp. triosephosphates) into the PPP reactions supposedly "disburdens" glycolysis and quantitatively limits processing of glycolytic intermediates in the alternative metabolic pathways. We hypothesized that genetic variability in the rate-limiting enzyme of the PPP non-oxidative branch - transketolase - contributes to an interindividual variability in the onset and progression of diabetic nephropathy (DN). Subjects and Methods: Study comprised 421 subjects (204 DM non-DN and 217 DM+DN subjects) In the first phase, SNPs with MAF >10% in the Caucasian population were selected with the density 1 per haplotype block (htSNPs) in the TKT gene (MIM no. 606781, chrom. 3p14.3). In pilot experiments those with high pair-wise LD were excluded, remaining 6 SNPs (rs2279323, rs3736156, rs1051483, rs12487632, rs968702 and rs13101181) to be genotyped in the whole study sample. SNPs were detected by means of polymerase chain reaction (PCR) using fluorescent-labelled probes (TaqMan, Applied Biosystems). Haplotypes were constructed based on genotype data using Bayesian algorithm (PHASE). Differences in haplotype frequencies between the groups will be tested by permutation testing. Logistic regression (incl. input variables such as age and gender, DM duration, fasting glycemia, HbA1c, microalbuminuria, proteinuria and GFR), survival analysis (Kaplan-Meier) and Cox proportional hazard regression were used to assess the risk of disease-associated haplotypes. Conclusions: Results suggest that TKT variability might play a role in the individual susceptibility to the development of DN.
In Czech
Objective: Accumulation of proximal glycolytic intermediates - due to the allosteric inhibition of enzymes, changed NADH/NAD+ ratio and modification of the glycolytic enzyme glyceraldehyd-3-phosphate dehydrogenase provides substrates for the metabolic pathways plays contributing to the pathogenesis of diabetic complications (such as formation of Advanced Glycation End-products (AGEs), polyols, hexosamines etc.). Pentose phosphate pathway (PPP) represents potentially "protective" mechanism in hyperglycemia since shunting of cumulated glycolytic intermediates (esp. triosephosphates) into the PPP reactions supposedly "disburdens" glycolysis and quantitatively limits processing of glycolytic intermediates in the alternative metabolic pathways. We hypothesized that genetic variability in the rate-limiting enzyme of the PPP non-oxidative branch - transketolase - contributes to an interindividual variability in the onset and progression of diabetic nephropathy (DN). Subjects and Methods: Study comprised 421 subjects (204 DM non-DN and 217 DM+DN subjects) In the first phase, SNPs with MAF >10% in the Caucasian population were selected with the density 1 per haplotype block (htSNPs) in the TKT gene (MIM no. 606781, chrom. 3p14.3). In pilot experiments those with high pair-wise LD were excluded, remaining 6 SNPs (rs2279323, rs3736156, rs1051483, rs12487632, rs968702 and rs13101181) to be genotyped in the whole study sample. SNPs were detected by means of polymerase chain reaction (PCR) using fluorescent-labelled probes (TaqMan, Applied Biosystems). Haplotypes were constructed based on genotype data using Bayesian algorithm (PHASE). Differences in haplotype frequencies between the groups will be tested by permutation testing. Logistic regression (incl. input variables such as age and gender, DM duration, fasting glycemia, HbA1c, microalbuminuria, proteinuria and GFR), survival analysis (Kaplan-Meier) and Cox proportional hazard regression were used to assess the risk of disease-associated haplotypes. Conclusions: Results suggest that TKT variability might play a role in the individual susceptibility to the development of DN.
Links
NR9443, research and development project
Name: Genetická variabilita enzymů pentózového cyklu jako faktor modulující nástup a progresi diabetické nefropatie
Investor: Ministry of Health of the CR, Genetic variability of pentose phosphate pathway as a modulating factor of the onset and progression of diabetic nephropathy
PÁCAL, Lukáš, Andrea STEJSKALOVÁ, Veronika TANHÄUSEROVÁ and Kateřina KAŇKOVÁ. Transketolase (TKT) gene variability as a potencial susceptibility factor for diabetic nephropathy. In 20th Annual Meeting Edinburgh, Scotland, May 11 - 12, 2007. 2007.
@proceedings{718813, author = {Pácal, Lukáš and Stejskalová, Andrea and Tanhäuserová, Veronika and Kaňková, Kateřina}, booktitle = {20th Annual Meeting Edinburgh, Scotland, May 11 - 12, 2007}, keywords = {transketolase; polymorphism; diabetic nephropathy}, language = {eng}, title = {Transketolase (TKT) gene variability as a potencial susceptibility factor for diabetic nephropathy}, year = {2007} }
TY - CONF ID - 718813 AU - Pácal, Lukáš - Stejskalová, Andrea - Tanhäuserová, Veronika - Kaňková, Kateřina PY - 2007 TI - Transketolase (TKT) gene variability as a potencial susceptibility factor for diabetic nephropathy KW - transketolase KW - polymorphism KW - diabetic nephropathy N2 - Objective: Accumulation of proximal glycolytic intermediates - due to the allosteric inhibition of enzymes, changed NADH/NAD+ ratio and modification of the glycolytic enzyme glyceraldehyd-3-phosphate dehydrogenase provides substrates for the metabolic pathways plays contributing to the pathogenesis of diabetic complications (such as formation of Advanced Glycation End-products (AGEs), polyols, hexosamines etc.). Pentose phosphate pathway (PPP) represents potentially "protective" mechanism in hyperglycemia since shunting of cumulated glycolytic intermediates (esp. triosephosphates) into the PPP reactions supposedly "disburdens" glycolysis and quantitatively limits processing of glycolytic intermediates in the alternative metabolic pathways. We hypothesized that genetic variability in the rate-limiting enzyme of the PPP non-oxidative branch - transketolase - contributes to an interindividual variability in the onset and progression of diabetic nephropathy (DN). Subjects and Methods: Study comprised 421 subjects (204 DM non-DN and 217 DM+DN subjects) In the first phase, SNPs with MAF >10% in the Caucasian population were selected with the density 1 per haplotype block (htSNPs) in the TKT gene (MIM no. 606781, chrom. 3p14.3). In pilot experiments those with high pair-wise LD were excluded, remaining 6 SNPs (rs2279323, rs3736156, rs1051483, rs12487632, rs968702 and rs13101181) to be genotyped in the whole study sample. SNPs were detected by means of polymerase chain reaction (PCR) using fluorescent-labelled probes (TaqMan, Applied Biosystems). Haplotypes were constructed based on genotype data using Bayesian algorithm (PHASE). Differences in haplotype frequencies between the groups will be tested by permutation testing. Logistic regression (incl. input variables such as age and gender, DM duration, fasting glycemia, HbA1c, microalbuminuria, proteinuria and GFR), survival analysis (Kaplan-Meier) and Cox proportional hazard regression were used to assess the risk of disease-associated haplotypes. Conclusions: Results suggest that TKT variability might play a role in the individual susceptibility to the development of DN. ER -
PÁCAL, Lukáš, Andrea STEJSKALOVÁ, Veronika TANHÄUSEROVÁ and Kateřina KAŇKOVÁ. Transketolase (TKT) gene variability as a potencial susceptibility factor for diabetic nephropathy. In \textit{20th Annual Meeting Edinburgh, Scotland, May 11 - 12, 2007}. 2007.