Transgenic Mice Over-expressing Dicarbonyl/L-xylulose Reductase Gene Crossed with KK-Ay Diabetic Model Mice: An Animal Model for the Metabolism of Renal Carbonyl Compounds

Medicinal Research Laboratories, Taisho Pharmaceutical Co., Ltd., Saitama, Japan.
Experimental Animals (Impact Factor: 0.97). 11/2005; 54(5):385-94. DOI: 10.1538/expanim.54.385
Source: PubMed


Carbonyl compounds in the blood stream tend to accumulate in the kidney of diabetic or end stage renal failure subjects. Previously we isolated cDNA encoding dicarbonyl/L-xylulose reductase (DCXR) from a mouse kidney cDNA library. In the present study, transgenic (Tg) mice were generated to study the functional role of DCXR in the kidney. With a six-fold increase in the DCXR protein expression levels in the kidney, the homozygous Tg mice did not show any notable histological abnormalities. While the elevated DCXR expression was observed throughout the body, its renal distribution was similar to that of the endogenous DCXR protein, namely, the major expression site was the collecting tubules, along with moderate expression in other tubules and Bowman's capsule, but it was absent from the interstitial area and glomeruli. The Tg mice were crossed with KK-A(y) diabetic model mice to examine the role of DCXR in the progression of diabetic nephropathy. The resulting progeny, Tg/A(y), showed lighter body weight, lower levels of blood glucose, water uptake and creatinine clearance compared to their +/A(y) littermates. Although remarkable pathological differences were not observed at the microscopic level and in the renal accumulation of carboxymethyl lysine, the data imply that DCXR might function in the metabolism of glucose or carbonyl compounds, and play a protective role in a kidney which is under hyperglycemic pressure. The DCXR Tg mice and the Tg x KK-A(y) hybrid mice, therefore, serve as specific models for carbonyl metabolism in the kidney with diabetic background.

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    • "The remaining 3 decreased diaphragm carbohydrate metabolism genes, Dcxr, Pfkfb1 and Coq7, were not significantly changed in any previous diabetes studies. Dicarbonyl L-xylulose reductase (Dcxr) functions in the metabolism of glucose [52]. 6-phosphofructo-2-kinase (Pfkfb1) is a rate limiting enzyme of glycolysis [53-57] which catalyzes the synthesis and degradation of fructose 2,6-bisphosphate. "
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    ABSTRACT: Type 2 diabetes differs from type 1 diabetes in its pathogenesis. Type 1 diabetic diaphragm has altered gene expression which includes lipid and carbohydrate metabolism, ubiquitination and oxidoreductase activity. The objectives of the present study were to assess respiratory muscle gene expression changes in type 2 diabetes and to determine whether they are greater for the diaphragm than an upper airway muscle. Diaphragm and sternohyoid muscle from Zucker diabetic fatty (ZDF) rats were analyzed with Affymetrix gene expression arrays. The two muscles had 97 and 102 genes, respectively, with at least ± 1.5-fold significantly changed expression with diabetes, and these were assigned to gene ontology groups based on over-representation analysis. Several significantly changed groups were common to both muscles, including lipid metabolism, carbohydrate metabolism, muscle contraction, ion transport and collagen, although the number of genes and the specific genes involved differed considerably for the two muscles. In both muscles there was a shift in metabolism gene expression from carbohydrate metabolism toward lipid metabolism, but the shift was greater and involved more genes in diabetic diaphragm than diabetic sternohyoid muscle. Groups present in only diaphragm were blood circulation and oxidoreductase activity. Groups present in only sternohyoid were immune and inflammation and response to stress and wounding, with complement genes being a prominent component. Type 2 diabetes-induced gene expression changes in respiratory muscles has both similarities and differences relative to previous data on type 1 diabetes gene expression. Furthermore, the diabetic alterations in gene expression differ between diaphragm and sternohyoid.
    BMC Endocrine Disorders 10/2013; 13(1):43. DOI:10.1186/1472-6823-13-43 · 1.71 Impact Factor
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    • "Two genes in this QTL interval could be interesting functional candidates: DCXR (dicarbonyl/L-xylulose reductase) and ASPSCR1 (alveolar soft part sarcoma chromosome region, candidate 1). When overexpressed in transgenic mice, DCXR has been described as affecting blood level glucose [42]. ASPSCR1 interacts with glucose transporter type 4 (GLUT4), but no effect on glucose plasma concentration has been reported. "
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    ABSTRACT: For decades, genetic improvement based on measuring growth and body composition traits has been successfully applied in the production of meat-type chickens. However, this conventional approach is hindered by antagonistic genetic correlations between some traits and the high cost of measuring body composition traits. Marker-assisted selection should overcome these problems by selecting loci that have effects on either one trait only or on more than one trait but with a favorable genetic correlation. In the present study, identification of such loci was done by genotyping an F2 intercross between fat and lean lines divergently selected for abdominal fatness genotyped with a medium-density genetic map (120 microsatellites and 1302 single nucleotide polymorphisms). Genome scan linkage analyses were performed for growth (body weight at 1, 3, 5, and 7 weeks, and shank length and diameter at 9 weeks), body composition at 9 weeks (abdominal fat weight and percentage, breast muscle weight and percentage, and thigh weight and percentage), and for several physiological measurements at 7 weeks in the fasting state, i.e. body temperature and plasma levels of IGF-I, NEFA and glucose. Interval mapping analyses were performed with the QTLMap software, including single-trait analyses with single and multiple QTL on the same chromosome. Sixty-seven QTL were detected, most of which had never been described before. Of these 67 QTL, 47 were detected by single-QTL analyses and 20 by multiple-QTL analyses, which underlines the importance of using different statistical models. Close analysis of the genes located in the defined intervals identified several relevant functional candidates, such as ACACA for abdominal fatness, GHSR and GAS1 for breast muscle weight, DCRX and ASPSCR1 for plasma glucose content, and ChEBP for shank diameter. The medium-density genetic map enabled us to genotype new regions of the chicken genome (including micro-chromosomes) that influenced the traits investigated. With this marker density, confidence intervals were sufficiently small (14 cM on average) to search for candidate genes. Altogether, this new information provides a valuable starting point for the identification of causative genes responsible for important QTL controlling growth, body composition and metabolic traits in the broiler chicken.
    Genetics Selection Evolution 09/2013; 45(1):36. DOI:10.1186/1297-9686-45-36 · 3.82 Impact Factor
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    ABSTRACT: Unilateral ureteral obstruction (UUO) of kidneys causes acute generation of carbonyl stress. By electrospray ionization/liquid chromatography/mass spectrometry (ESI/LC/MS) we measured the content of methyl glyoxal, glyoxal, and 3-deoxyglucosone in mouse kidney extracts following UUO. UUO resulted in elevation of these dicarbonyls in the obstructed kidneys. Furthermore, the accumulation of 3-deoxyglucosone was significantly reduced in the kidneys of mice transgenic for alpha-dicarbonyl/L-xylulose reductase (DCXR) as compared to their wild-type littermates, demonstrating 4.91+/-2.04 vs. 6.45+/-1.85 ng/mg protein (P=0.044) for the obstructed kidneys, and 3.68+/-1.95 vs. 5.20+/-1.39 ng/mg protein (P=0.026) for the contralateral kidneys. On the other hand, collagen III content in kidneys showed no difference as monitored by in situ hybridization. Collectively, DCXR may function in the removal of renal alpha-dicarbonyl compounds under oxidative circumstances, but it was not sufficient to suppress acute renal fibrosis during 7 d of UUO by itself.
    Bioscience Biotechnology and Biochemistry 01/2007; 70(12):2899-905. DOI:10.1271/bbb.60311 · 1.06 Impact Factor
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