Glomerular injury plays a pivotal role in the development of diabetic nephropathy. To elucidate molecular mechanisms underlying diabetic glomerulopathy, we compared glomerular gene expression profiles of db/db mice with those of db/m control mice at a normoalbuminuric stage characterized by hyperglycemia and at an early stage of diabetic nephropathy with elevated albuminuria, using cDNA microarray. In db/db mice at the normoalbuminuric stage, hypoxia-inducible factor-1α (HIF-1α), ephrin B2, glomerular epithelial protein 1, and Pod-1, which play key roles in glomerulogenesis, were already upregulated in parallel with an alteration of genes related to glucose metabolism, lipid metabolism, and oxidative stress. Podocyte structure-related genes, actinin 4α and dystroglycan 1 (DG1), were also significantly upregulated at an early stage. The alteration in the expression of these genes was confirmed by quantitative RT-PCR. Through pioglitazone treatment, gene expression of ephrin B2, Pod-1, actinin 4α, and DG1, as well as that of oxidative stress and lipid metabolism, was restored concomitant with attenuation of albuminuria. In addition, HIF-1α protein expression was partially attenuated by pioglitazone. These results suggest that not only metabolic alteration and oxidative stress, but also the alteration of gene expression related to glomerulogenesis and podocyte structure, may be involved in the pathogenesis of early diabetic glomerulopathy in type 2 diabetes.

Diabetic nephropathy is the leading cause of end-stage renal disease in the U.S., Japan, and most of Europe (1). Clinical features of diabetic nephropathy are development of albuminuria followed by persistent proteinuria and, later, reduction of glomerular filtration rate (2). Increased thickness of glomerular basement membrane and augmentation of glomerular extracellular matrix are recognized as pathological hallmarks of diabetic nephropathy (2). Thus, glomerular injury is apparently critical for the initiation and progression of the disease. Several pathways are postulated as potential mechanisms of diabetic nephropathy, including renal hemodynamic changes, accretion of advanced glycation end products, intracellular accumulation of sorbitol, oxidation of glycoproteins by reactive oxygen species, and activation of protein kinase C (2,3). Recently, much attention has been paid to the role of podocyte injury in glomerular diseases, including diabetic nephropathy (36). However, the precise molecular mechanisms underlying diabetic glomerulopathy still remain unclear.

Microarray is a novel tool by which whole-genome analysis can identify new genes and pathways that are important for the pathophysiology of diabetic nephropathy (7). Although several laboratories recently performed cDNA microarray analyses of diabetic kidney (812), most of them examined gene expression of whole kidney, despite the importance of glomerular injury in diabetic nephropathy. In addition, analysis of whole kidney often makes it difficult to select genes associated with diabetic glomerulopathy because glomeruli occupy only a small part of the kidney. Only one of these reports showed the gene expression profile of glomeruli (12). However, because the report analyzed glomeruli from advanced diabetic nephropathy patients with apparent histological changes, it did not provide much information about the mechanism of early diabetic glomerulopathy.

In this study, we performed microarray analysis using isolated glomeruli from diabetic mice at a normoalbuminuric stage and an early stage of diabetic nephropathy with no apparent histological change in order to find the genes that are strongly associated with diabetic glomerular injury. This approach also enabled us to avoid the modification of gene expression profiles by cell component alteration. We analyzed db/db mice, a genetic model of type 2 diabetes with obesity and insulin resistance (13), because they exhibited histological changes resembling those in human diabetic nephropathy (13,14). Because accumulating evidence indicates that insulin resistance participates in the pathogenesis of diabetic nephropathy in type 2 diabetes (15), we also examined the effects of pioglitazone, one of the insulin sensitizers that improves insulin sensitivity, on the gene expression profile of db/db mice.

Male diabetic db/db mice and their nondiabetic db/m littermates were used for this study. All mice were purchased from CLEA Japan (Tokyo). These db/db mice began to show hyperglycemia at 5 weeks of age and a significant increase in urinary albumin excretion at 7 weeks of age (Table 1). Mice were killed under pentobarbital anesthesia at 5 and 7 weeks of age to obtain kidney samples for isolation of glomeruli and immunohistochemistry.

To study the role of insulin resistance in the development of diabetic nephropathy, we administered pioglitazone (Takeda Pharmaceutical, Osaka, Japan), a peroxisome proliferator–activated receptor-γ agonist, to two other groups of 5-week-old db/db mice for 2 weeks (n = 12 in each). Pioglitazone was mixed with normal mouse chow and administered at a dose of 3 or 15 mg · kg body wt−1 · day−1 because 15 mg/kg of pioglitazone was reported to improve insulin sensitivity in db/db mice (16).

We obtained 16-h urine specimens from all mice at 5 and 7 weeks of age for the measurement of albumin excretion (17). Urinary albumin excretion was determined by enzyme-linked immunosorbent assay (Albuwell; Exocell, Philadelphia, PA) (17). Urinary creatinine levels were measured by enzymatic method (SRL, Tokyo) (17). For the insulin tolerance test, mice were fasted for 6 h and given 1.25 unit/kg i.p. human regular insulin (Novo Nordisk, Bagsvaerd, Denmark) (18).

Isolation of glomeruli.

We prepared two isolated glomerular samples from each group. An isolated glomerular sample was obtained from the kidneys of six mice by differential sieving method, using mesh diameters of 45, 75, and 150 μm (19). The purity of each sample was confirmed by microscopy. The glomerular samples were ∼80% pure on average, and there was no difference in purity among the samples.

Microarray gene expression.

Total RNA was extracted from glomerular samples by the acid guanidine-phenol-chloroform method, using Trizol reagent (Life Technologies) (20). We essentially followed the procedures described in detail in the GeneChip expression analysis manual (Affymetrix, Santa Clara, CA). In brief, 10 μg of total RNA was used for cDNA synthesis (Superscript II kit; Life Technologies, Rockville, MD). Biotin-labeled cRNA was produced through in vitro transcription of cDNA, using an ENZO BioArray high-yield RNA transcript labeling kit (Affymetrix). Fragmented cRNA (15 μg) was hybridized to an Affymetrix Murine Genome U74Av2 GeneChip at 45°C for 16 h. The samples were stained and washed according to the manufacturer’s protocol on a Fluidics Station 400 (Affymetrix) and scanned on a GeneArray scanner (Affymetrix) (8,21).

Primary data extraction was performed with Microarray Suite 5.0 (Affymetrix) because analysis by Microarray Suite 5.0 is more reliable than other methods (22). Microarray Suite 5.0 software normalized the data of each microarray and compared the expression between the two different arrays. Moreover, the software could determine statistically whether each gene was present (reliably detected) or absent (not detected) in one array and whether each gene increased or decreased between two different arrays. Signal normalization across samples was carried out, using all probe sets, with a mean expression value of 500 (8,21). To allow comparisons between any two experiments, pairwise comparisons were made between db/m and db/db mice by Microarray Suite 5.0. Because two arrays were used for each group (db/m 1, db/m 2, db/db 1, and db/db 2), we performed four comparison analyses (i.e., db/m 1 vs. db/db 1, db/m 1 vs. db/db 2, db/m 2 vs. db/db 1, and db/m 2 vs. db/db 2). Genes showing an increased or decreased call in at least three of four comparisons were defined as genes showing a significant change. As an internal control, we chose GAPDH and confirmed that there was no difference in GAPDH expression level between each sample in microarray analysis.

Podocyte culture.

Cultivation of conditionally immortalized mouse podocytes (a gift from Dr. Peter Mundel, Albert Einstein College of Medicine, Bronx, NY) was performed as reported previously (23). Briefly, cells were grown on a type 1 collagen–coated dish (IPC-03; Koken, Tokyo) at 33°C in the presence of 10 units/ml murine γ-interferon (Life Technologies, Gaithersburg, MD) in RPMI 1640 medium (Nihonseiyaku, Tokyo) supplemented with 10% FCS (Cansera International, Etobicoke, ON, Canada) and antibiotics. To induce differentiation, podocytes were maintained at 37°C without interferon. Before the experiment, cells were differentiated for 2 weeks without passage, followed by culture in RPMI 1640 containing 1% FCS supplemented with 5.6 mmol/l glucose (normal glucose) or 25 mmol/l glucose (high glucose) for 14 days.

Quantitative RT-PCR.

We reverse transcribed 2.5 μg of total RNA using Ready-To-Go (Amersham Pharmacia Biotech, Piscataway, NJ) (20). TaqMan real-time quantitative PCR was performed and analyzed according to the manufacturer’s instructions (Applied Biosystems, Foster City, CA) (24). Primers and probe sequences were selected by using Primer Express (Applied Biosystems). GAPDH was used for internal control because its expression level did not show a significant difference between db/m and db/db in our microarray analysis.

Immunohistochemistry.

Kidneys were dissected immediately and fixed in 10% formalin, embedded in paraffin, and sectioned at 4 μm. Hypoxia-inducible factor-1α (HIF-1α) was identified with monoclonal IgG HIF-1α antibody 67 (Novus Biological, Littleton, CO) at a 1:2000 dilution, using the Tyramide signal amplification system (PerkinElmer Life Sciences, Boston, MA) (25). The number of HIF-1α–positive cells was counted in 30 randomly selected glomeruli in the outer cortex.

Statistical analyses.

Data are the means ± SE. Statistical analyses were performed using ANOVA followed by Scheffe’s test. P < 0.05 was considered statistically significant.

Characteristics of db/db mice.

At 5 weeks of age, db/db mice already showed significant hyperglycemia, whereas urinary albumin excretion did not increase compared with db/m mice (Table 1). There was no difference in renal histology between db/m and db/db mice at 5 weeks of age under light microscopic observation. At 7 weeks of age, db/db mice showed significant elevation of urinary albumin excretion (Table 1). However, no apparent histological difference was observed between db/db and db/m mice (data not shown). Thus, 5-week-old db/db mice exhibited features similar to the human normoalbuminuric stage, and 7-week-old mice showed features similar to the human early stage of diabetic nephropathy.

Comparison analysis of gene expression profiles between db/db and db/m mice.

Table 2 shows 134 genes with an absolute relative log ratio >0.5 and showing significant change by Microarray Suite 5.0 analysis at 5 and/or 7 weeks of age. At 5 weeks of age, 105 genes were differentially expressed (65 increased, 40 decreased) between db/db and db/m mouse glomeruli. Among them, there were genes related to oxidative stress, glucose metabolism, lipid metabolism, cell growth, fibrosis, apoptosis, vasoactive mediators, calcium-binding proteins, coagulation, cell structure, and extracellular matrix components. We also observed significant differences in the expression of development-related genes, including several genes related to kidney development. At 7 weeks of age, 116 genes expressed differentially (72 increased, 44 decreased) between db/db and db/m mouse glomeruli. In addition to the genes showing differential expression at 5 weeks of age, genes related to cell structure, particularly podocyte structure, and solute carrier family were expressed differentially between db/db and db/m.

We next confirmed the differential expression of genes by quantitative real-time RT-PCR. Because glomerular response to injury is accompanied by activation of the development-related genes (26), we measured mRNA levels of kidney development–related genes, i.e., ephrin B2 (27), Pod-1 (28), glomerular epithelial protein 1 (GLEPP1) (29), and HIF-1α (30), in isolated glomeruli. These four genes are reported to play important roles in glomerulogenesis (2730). Real-time RT-PCR confirmed significant mRNA elevation of ephrin B2 at 5 and 7 weeks of age (2.2- and 2.9-fold of control at 5 and 7 weeks of age, respectively) (Fig. 1A). Although the upregulation of HIF-1α was not significant by cDNA microarray analysis at 5 weeks of age, real-time RT-PCR revealed significant upregulation of HIF-1α mRNA at both 5 and 7 weeks of age (2.1- and 2.9-fold of control at 5 and 7 weeks of age, respectively) (Fig. 1A). Because HIF-1α is a transcription factor and it is more important to evaluate the expression of HIF-1α protein, we also examined HIF-1α protein expression by immunohistochemistry. HIF-1α protein expression was significantly increased in glomeruli at 7 weeks of age (Fig. 4A, B, and D). GLEPP1 and Pod-1 were significantly upregulated only at 5 weeks of age, and Pod-1 was significantly downregulated at 7 weeks (GLEPP1: 2.3- and 1.1-fold of control at 5 and 7 weeks of age; Pod-1: 4.0- and 0.5-fold, respectively) (Fig. 1A).

We also confirm the differential expression of podocyte structure–related genes, actinin 4α (31) and dystroglycan 1 (DG1) (32), because morphologic changes of podocytes and podocyte injury play key roles in the development of diabetic nephropathy (36). Quantitative RT-PCR revealed significant upregulation of actinin 4α and DG1 in isolated glomeruli of 7- but not of 5-week-old db/db mice compared with those of control (actinin 4α: 3.4-fold; DG1: 2.9-fold) (Fig. 1B).

mRNA expression in cultured podocytes under high-glucose conditions.

To examine whether the differential expression of kidney development–related genes and podocyte structure–related genes in isolated glomeruli of db/db mice could reflect the alteration in gene expression of podocytes, we next examined the expression of these genes in cultured podocytes by quantitative RT-PCR. Although Pod-1 mRNA expression was not detectable, ephrin B2, HIF-1α, GLEPP1, actinin 4α, and DG1 mRNA were detectable in cultured podocytes under normal glucose conditions. Ephrin B2 and HIF-1α mRNA expression was significantly upregulated under high-glucose conditions (5.7- and 2.3-fold of control, respectively) (Fig. 2A). GLEPP1 mRNA expression also tended to increase (1.6-fold of control) (Fig. 2B). By contrast, actinin 4α and DG1 mRNA did not show a significant change (Fig. 2B).

Comparison analysis of gene expression profile between db/db and pioglitazone-treated db/db mice.

Insulin resistance is one of the important pathogenic factors for the diabetic nephropathy in type 2 diabetes. Indeed, improvement of insulin resistance by thiazolidinediones resulted in the reduction of albuminuria in diabetic nephropathy (33). Therefore, we examined the effects of pioglitazone on the gene expression profiles in db/db mice. Although administration of pioglitazone at a dose of 3 mg/kg did not affect hyperglycemia, insulin sensitivity, or albuminuria, pioglitazone at a dose of 15 mg/kg significantly reduced but did not normalize the blood glucose level, improved insulin sensitivity, and completely normalized urinary albumin excretion (Tables 3 and 4).

We first examined the effect of pioglitazone using microarray analysis. Table 2 shows genes in db/db mice whose differential expression was restored by pioglitazone treatment. Although the lower dose of pioglitazone (3 mg/kg) restored only a small number of genes (4 of 116), pioglitazone at the higher dose restored the alteration in more than two-thirds of the genes (81 of 116) in db/db mice. Pioglitazone restored most of the genes related to oxidative stress (16 of 17), lipid metabolism (11 of 14), glucose metabolism (4 of 8), development (5 of 7), cell growth (6 of 9), vasoactive mediator (6 of 8), and coagulation (3 of 5). Among these genes, the recovery of oxidative stress–, glucose metabolism–, and lipid metabolism–related gene expression by pioglitazone was compatible with previous reports (34,35). By contrast, only a small number of the genes related to fibrosis (0 of 2), apoptosis (1 of 3), calcium-binding protein (2 of 4), cell structure (1 of 5), and extracellular matrix component (0 of 3) were restored by pioglitazone.

We also examined mRNA expression of kidney development–and podocyte structure–related genes by quantitative RT-PCR. Upregulation of ephrin B2 and downregulation of Pod-1 were blunted by pioglitazone treatment (Fig. 3A). Although suppression of HIF-1α mRNA expression was not observed in microarray analysis and RT-PCR, HIF-1α protein expression was partially attenuated by pioglitazone (Fig. 4). Upregulation of actinin 4α and DG1 genes was significantly attenuated by pioglitazone treatment (Fig. 3B).

Although glomerular injury plays a central role in the development of diabetic nephropathy, most reports using microarray analysis have focused on the gene expression profile of the whole kidney in diabetic animals with nephropathy. In the current study, we examined a gene expression profile of isolated glomeruli from db/db mice, a well-known type 2 diabetes model. To the best of our knowledge, this is the first report on the glomerular gene expression profile in type 2 diabetes models. Our microarray data showed differential expression of genes related to glucose and lipid metabolism, oxidative stress, vasoactive mediators, cell growth, and coagulation in isolated glomeruli between db/db and db/m mice at the normoalbuminuric stage. These results are compatible with previous reports (13).

Our first new finding is that the kidney development–related genes were already differentially expressed at the normoalbuminuric stage in the glomeruli of db/db mice. Although the pathophysiological significance of the kidney development–related genes we examined is not fully clarified in diabetic nephropathy, ephrin B2, HIF 1α, Pod-1, and GLEPP1 participate in various stages and aspects of glomerulogenesis and are relevant to some types of glomerular injury, as previously suggested (26). Ephrin B2 is a transmembrane ligand of the ephrin B2 receptor (Eph) and its signaling pathway is required for vascular morphogenesis (36,37) and glomerular microvascular assembly (27). HIF-1α is critical for renal vasculogenesis and glomerulogenesis (30), and nuclear localization of HIF-1α increases in murine adriamycin nephrosis (38). Nyengaad and Rasch (39) reported an increase in glomerular capillary size and number in diabetic nephropathy, suggesting that angiogenesis is associated with glomerular injury. Actually, vascular endothelial growth factor (VEGF) plays a key role in the development of proteinuria and glomerular sclerosis in diabetic nephropathy (14). Although VEGF mRNA were not elevated at the normoalbuminuric stage in this study (data not shown), ephrin B2 and HIF-1α mRNA were already upregulated at the normoalbuminuric stage and remained elevated at an early stage of diabetic nephropathy in isolated glomeruli of diabetic mice (Fig. 1). Because ephrin B2 and HIF-1α relate to angiogenesis, and because HIF-1α induces VEGF (40), elevation of ephrin B2 and HIF-1α may be an important early step for glomerular angiogenic change in diabetic nephropathy. GLEPP1 is related to podocyte differentiation (29), and its expression decreases in dedifferentiated podocytes (41). Pod-1 is one of the transcriptional factors important for glomerulogenesis and podocyte differentiation (24,28). Both ephrin B2 and HIF-1α are abundantly expressed in glomerular podocytes in the developing kidney (27,30). Taken together, podocyte injury may play a pivotal role in diabetic glomerulopathy, including glomerular angiogenic change. Other kidney development–related molecules (e.g., gremlin and transforming growth factor-β) were also suggested to contribute to the pathogenesis of diabetic nephropathy (42,43). Thus, the current study raises the possibility that the alteration of the kidney development–related molecules, particularly glomerulogenesis-related molecules (ephrin B2, HIF-1α, GLEPP1, and Pod-1), is a key mediator for diabetic glomerulopathy. This possibility is strengthened by our finding that high glucose induced a similar pattern of changes in glomerulogenesis-related gene expression in cultured murine podocytes because hyperglycemia is a well-known determinant of diabetic nephropathy.

Another new finding in the current study is that extracellular matrix and cell structure–related genes were differentially expressed at an early stage of diabetic nephropathy. This is consistent with the development of mesangial expansion several weeks later in this model. Among these genes, we focused on genes playing important roles in podocyte structure, i.e., actinin 4α and DG1. Actinin 4α is an actin–cross-linking protein, and mice with mutant actinin 4α revealed foot process fusion and podocyte vacuolization (31). DG1, a heavily glycosylated peripheral membrane protein located in podocytes, is thought to keep foot process shape, and it decreases in proteinuric renal diseases (32,44). Thus, the current study suggests that podocyte structure and function may already alter at an early stage of nephropathy. In contrast to previous reports, actinin 4α and DG1 mRNA expression increased in this study. Induction of these genes might reflect the glomerular repairing process, as reported in a puromycin aminonucleoside nephrosis model (45).

Insulin resistance is a major feature of type 2 diabetes, and it precedes the onset of microalbuminuria. Greater degrees of insulin resistance are evident when urinary albumin excretion is elevated in type 2 diabetes (15), and hyperinsulinemia in the pre-diabetic state may contribute to microalbuminuria in type 2 diabetes (1). In our microarray analysis, alteration in most of the development-related gene expression was restored by pioglitazone treatment with amelioration of albuminuria and hyperglycemia. Among them, the restoration of ephrin B2 and Pod-1 were confirmed by RT-PCR, and nuclear localization of HIF-1α was attenuated by pioglitazone. Although we could not evaluate the effect of pioglitazone on GLEPP1 gene expression because of its transient upregulation in this study, these results suggest that insulin resistance might be important in inducing the alteration in the expression of kidney development–related genes, including glomerulogenesis-related genes at early stages of nephropathy. Similarly, insulin resistance might also induce phenotype alteration of podocytes at an early stage of nephropathy because the upregulation of DG1 and actinin 4α genes was attenuated by pioglitazone treatment. We could not rule out the possibility that hyperglycemia per se directly altered glomerulogenesis-related gene expression because high glucose stimulated expression of glomerulogenesis-related genes in cultured podocytes and because administration of pioglitazone improved insulin resistance as well as hyperglycemia.

In conclusion, we demonstrated that the differential expression of glomerulogenesis-related genes already took place at the normoalbuminuric stage in the isolated glomeruli from db/db mice, whereas the expression of podocyte structure–related genes were altered at an early nephropathy stage with the elevation of microalbuminuria. We also showed that pioglitazone treatment restored most of the differential expression of glomerulogenesis- and podocyte structure–related genes. These findings suggest that the alteration of these genes might be relevant to the pathogenesis of diabetic glomerulopathy in type 2 diabetes with insulin resistance. Pioglitazone treatment even at the normoalbuminuric stage might be useful for the prevention of diabetic nephropathy.

FIG. 1.

mRNA expression of HIF-1α, ephrin B2, GLEPP1, and Pod-1 (A) and actinin 4α and DG1 (B) in isolated glomeruli from db/m and db/db mice at 5 and 7 weeks (w) of age by TaqMan real-time quantitative PCR. Values are the means ± SE, n = 4 for each group. *P < 0.05, **P < 0.01 vs. db/m mice. ▪, db/m mice; □, db/db mice.

FIG. 1.

mRNA expression of HIF-1α, ephrin B2, GLEPP1, and Pod-1 (A) and actinin 4α and DG1 (B) in isolated glomeruli from db/m and db/db mice at 5 and 7 weeks (w) of age by TaqMan real-time quantitative PCR. Values are the means ± SE, n = 4 for each group. *P < 0.05, **P < 0.01 vs. db/m mice. ▪, db/m mice; □, db/db mice.

Close modal
FIG. 2.

mRNA expression of HIF-1α, ephrin B2, and GLEPP1 (A) and actinin 4α and DG1 (B) in cultured podocytes under high-glucose (HG) conditions by TaqMan real-time quantitative PCR. Values are the means ± SE. ▪, normal glucose (NG; n = 3); □, high glucose (n = 3). *P < 0.05 vs. normal glucose. w, weeks.

FIG. 2.

mRNA expression of HIF-1α, ephrin B2, and GLEPP1 (A) and actinin 4α and DG1 (B) in cultured podocytes under high-glucose (HG) conditions by TaqMan real-time quantitative PCR. Values are the means ± SE. ▪, normal glucose (NG; n = 3); □, high glucose (n = 3). *P < 0.05 vs. normal glucose. w, weeks.

Close modal
FIG. 3.

mRNA expression of HIF-1α, ephrin B2, GLEPP1, and Pod-1 (A) and actinin 4α and DG1 (B) in isolated glomeruli from pioglitazone-treated db/db mice by TaqMan real-time quantitative PCR. 1, db/m mice; 2, untreated db/db mice; 3, db/db mice treated with 3 mg/kg pioglitazone; 4, db/db mice treated with 15 mg/kg pioglitazone. Values are the means ± SE, n = 4 for each group. *P < 0.05, **P < 0.01 vs. db/m mice; #P < 0.05.

FIG. 3.

mRNA expression of HIF-1α, ephrin B2, GLEPP1, and Pod-1 (A) and actinin 4α and DG1 (B) in isolated glomeruli from pioglitazone-treated db/db mice by TaqMan real-time quantitative PCR. 1, db/m mice; 2, untreated db/db mice; 3, db/db mice treated with 3 mg/kg pioglitazone; 4, db/db mice treated with 15 mg/kg pioglitazone. Values are the means ± SE, n = 4 for each group. *P < 0.05, **P < 0.01 vs. db/m mice; #P < 0.05.

Close modal
FIG. 4.

Immunohistochemical analysis for HIF-1α expression in the glomeruli of db/db mice at 7 weeks of age. A: db/m mice. B: db/db mice. C: db/db mice plus 15 mg/kg pioglitazone (pio). D: HIF-1α–positive cell number in 30 glomeruli. Values are the means ± SE, n = 4 for each group. *P < 0.05 vs. db/m.

FIG. 4.

Immunohistochemical analysis for HIF-1α expression in the glomeruli of db/db mice at 7 weeks of age. A: db/m mice. B: db/db mice. C: db/db mice plus 15 mg/kg pioglitazone (pio). D: HIF-1α–positive cell number in 30 glomeruli. Values are the means ± SE, n = 4 for each group. *P < 0.05 vs. db/m.

Close modal
TABLE 1

Characteristics of experimental animals

5 weeks7 weeks
Body weight (g)   
    db/m 21.5 ± 0.4 25.4 ± 0.3 
    db/db 22.8 ± 0.7 37.1 ± 0.3* 
Blood glucose levels (mg/dl)   
    db/m 182 ± 6 128 ± 12 
    db/db 238 ± 17 575 ± 25* 
Urinary albumin excretion (μg/16 h)   
    db/m 8.9 ± 1.5 5.2 ± 1.1 
    db/db 12.2 ± 1.3 32.5 ± 6.3* 
Urinary albumin excretion (μg/mg creatine)   
    db/m 0.29 ± 0.06 0.16 ± 0.02 
    db/db 0.19 ± 0.07 0.49 ± 0.13* 
5 weeks7 weeks
Body weight (g)   
    db/m 21.5 ± 0.4 25.4 ± 0.3 
    db/db 22.8 ± 0.7 37.1 ± 0.3* 
Blood glucose levels (mg/dl)   
    db/m 182 ± 6 128 ± 12 
    db/db 238 ± 17 575 ± 25* 
Urinary albumin excretion (μg/16 h)   
    db/m 8.9 ± 1.5 5.2 ± 1.1 
    db/db 12.2 ± 1.3 32.5 ± 6.3* 
Urinary albumin excretion (μg/mg creatine)   
    db/m 0.29 ± 0.06 0.16 ± 0.02 
    db/db 0.19 ± 0.07 0.49 ± 0.13* 

Data are the means ± SE. Each group has n = 12.

*

P < 0.01,

P <0.05 vs. db/m.

TABLE 2

Genes up- or downregulated in db/db mice at 5 and 7 weeks of age

GeneIDFold change of genes up- or downregulated in db/db mice compared with db/m
Fold change of genes up- or downregulated in pioglitazone-treated db/db mice
5 weeks7 weeksPioglitazone 3 mg/kgPioglitazone 15 mg/kg
Oxidative stress related      
    Upregulated      
Glutathione-S-transferase α2 J03958 7.77* 9.49* 10.70 0.95 
Cytochrome P450 4a14 Y11638 6.52* 15.26* 9.76 0.76 
Cytochrome c oxidase subunit VIa U08439 2.17* 14.90* 9.68 2.99 
Glutathione S transferase ω1 AI843119 1.87* 1.73* 2.16 0.81 
Glutathione S transferase ω1 AI843119 1.87* 1.73* 2.16 0.81 
Glutathione S transferase θ1 X98055: 1.73* 1.52* 1.90 1.02 
Metallothionein 1 V00835 1.61* 2.79* 4.7 1.14 
Calcipressin AI846152 1.61 2.92* 2.16 1.26 
Cytochrome P450 4a10 AB018421 1.57* 2.34* 1.73 0.82 
Antioxidant enzyme AOE372 U96746 1.31 1.91* 1.58 0.90 
    Downregulated      
Cysteine sulfinic acid decarboxylase AW120896 0.31* 0.56* 0.48 1.06 
Cytochrome P450 2e1 X01026 0.43* 0.37 0.43 0.91 
Cytochrome P450 2a4 M19319 0.45* 0.32* 0.22 0.87 
Malic enzyme supernatant J02652 0.48* 0.41* 0.51 1.11 
Glutamate cysteine ligase U95053 0.50* 0.53* 0.34 0.96 
Extracellular superoxide dismutase U38261 0.60* 0.70* 0.70 1.50 
Peroxisomal acyl-CoA oxidase AF006688 0.74 0.56* 0.72 1.02 
Lipid metabolism related      
    Upregulated      
Apolipoprotein E D00466 3.00* 3.32* 4.98 1.16 
Stearoyl-coenzyme A desaturase 2 M26270 2.34* 2.06* 3.09 1.26 
Thioredoxin interacting protein AI839138 1.96* 1.3 1.43 1.17 
Oxysterol-binding protein like 5 AW121299 1.78* 1.41 2.15 1.09 
Phosphatidic acid phosphatase 2b AI847054 1.65* 0.95 2.93 2.10 
Acetyl coenzyme A acyltransferase 2 AI849271 1.28* 1.82* 1.91 0.89 
Sterol-C4 methyl oxidase like AI848668 1.13 2.06* 2.39 2.06 
Acetyl-coenzyme A synthetase 2 AW125884 1.19 1.65* 2.16 0.99 
    Downregulated      
Lipoprotein lipase M63335 0.13* 0.17* 0.09 0.93 
Alcohol dehydrogenase class I gene M22679 0.22* 0.23* 0.21 1.08 
Degenerative spermatocyte homolog 2 AI852933 0.27* 0.25* 0.24 0.97 
α-Methylacyl-CoA racemace U89906 0.36* 0.28* 0.37 0.98 
Diphosphate δ isomerase AA716963 0.36* 0.35* 0.27 0.91 
Enoyl-coenzyme A hydratase AJ011864 0.46* 0.43* 0.22 1.23 
Coenzyme A synthase AI837229 0.53* 0.36* 0.29 0.88 
Fatty acid transporter protein 2 AF072757 0.68 0.54* 0.49 0.89 
Lysophospholipase 1 AA840463 0.72 0.61* 0.29 0.81 
Cell growth related      
    Upregulated      
Dual-specificity phosphatase 1 X61940 2.30* 0.90 1.31 0.86 
Cysteine-rich protein 1 D88793 2.06* 1.91* 2.90 1.64 
Prothymosin β4 U38967 2.01* 1.57* 1.60 1.16 
Calpactin I heavy chain (p36) M14044 1.96* 1.31 2.04 1.18 
Cyclin-dependent kinase inhibitor 1C U22399 1.96* 1.25 1.95 1.39 
Nuclear protein 1 AI852641 1.75* 2.11* 3.84 1.56 
Minopontin X13986 1.73* 2.93* 3.25 0.94 
Annexin A1 :AV003419 1.73* 1.15 2.62 1.15 
Biglycan X53928 1.65* 1.45 2.64 1.38 
Cyclin-dependent protein kinase AI849556 1.69 2.01* 2.23 1.17 
CDC28 protein kinase regulatory subunit 2 AA681998 1.19 1.96* 1.55 1.06 
    Downregulated      
Sin3-associated protein (sap 30) AF075136 0.48* 0.36* 0.25 0.76 
Ornithine decarboxylase M12330 0.56* 0.37* 0.43 1.16 
FK506BP-rapamycin–associated protein 1 AI853977 0.58* 0.45* 0.70 1.11 
Development related      
    Upregulated      
Ephrin B2 U30244 2.11* 1.63* 1.63 1.20 
Glomerular epithelial protein 1 (PtrpO) U37465 1.73* 1.16 2.70 1.55 
Secreted frizzled related protein sFRP-2 U88567 1.69* 0.90 2.47 2.20 
Cytoplasmic protein Ndr1 U60593 1.61* 2.23* 3.23 2.11 
Transcriptional factor 21 (Pod1) AF035717 1.50* 0.61* 1.16 0.93 
HIF-1α Y09085 1.25 1.53* 1.83 1.13 
    Downregulated      
BTEB-1 (klf 9) Y14296 0.46* 0.62* 0.70 1.01 
Iroquois homeobox protein 3 Y15001 0.61* 0.47* 0.34 1.64 
Cartilage-associated protein AJ006469 0.62* 0.61* 0.80 1.35 
Glucose metabolism related      
    Upregulated      
Phosphoglycerate mutase AF029843 6.20* 5.47* 14.49 3.82 
Transketolase U05809 1.82* 1.91* 1.72 0.99 
Pyruvate kinase 3 X97047 1.78* 2.17* 2.23 1.32 
Glucose-6-phosphatase U00445 1.61* 1.25 1.13 1.01 
Phosphoenolpyruvate carboxykinase AF009605 1.60* 1.64* 1.48 1.21 
Pyruvate dehydrogenase kinase 3 AI853226 1.60* 2.12* 3.07 1.63 
N-acetylneuraminate pyruvate lyase AA710564 1.38 1.96* 3.15 1.08 
    Downregulated      
Pyruvate dehydrogenase kinase 3 AI842259 0.48* 0.49* 0.47 1.26 
β-Galactosidase M57734 0.57* 0.52* 0.63 1.16 
Vasoactive mediator related      
    Upregulated      
Kallikrein V00829 3.76* 4.26* 6.86 1.15 
Potential kallikrein gene M13500 3.40* 3.86* 4.94 0.93 
Epidermal growth factor–binding protein A M1797 3.29* 3.96* 5.19 1.15 
Kallikrein 5 Y00500 3.24* 3.24* 3.66 0.81 
Mouse renin M32352 2.93* 2.47* 3.31 1.43 
Glandular kallikrein J00389 2.72* 2.65* 3.55 1.03 
Adrenomedullin U77630 1.96* 2.52* 3.15 1.13 
Serpin M25529 1.69* 0.80 0.51 0.66 
Carboxypeptidase N AI182588 1.40* 2.11* 1.94 1.16 
Coagulation, fibrinolysis      
    Upregulated      
Coagulation factor II receptor AW123850 2.23* 1.91* 5.30 1.41 
Protein S L27439 1.61 1.86* 2.45 1.59 
Tissue factor pathway inhibitor 2 D50586 1.38 2.17* 2.49 1.02 
    Downregulated      
α2-ntiplasmin Z36774 0.30* 0.34* 0.27 1.38 
Anticoagulant protein C AF034569 0.46* 0.40* 0.46 0.84 
Cell structure      
    Upregulated      
Tubulin β2 M28739 1.96* 2.79* 2.34 1.30 
Calponin 3 AW125626 1.65* 1.57* 1.82 1.05 
Tubulin α1 M28729 1.65* 1.32 1.78 1.13 
    (Podocyte structure)      
Dystroglycan 1 AV244370 1.38 1.69* 3.49 1.13 
Actinin 4 α AI836968 1.22 1.60* 4.33 1.52 
Apoptosis related      
    Upregulated      
Clusterin D14077 3.69* 4.37* 8.34 1.13 
Gelsolin J04953 2.40* 1.69* 2.16 1.32 
    Downregulated      
Midkine M34094 0.34* 0.56* 0.50 0.87 
B-cell leukemia/lymphoma 6 U41465 0.44* 0.54* 1.11 1.32 
Calcium-binding protein      
    Upregulated      
Calbindin-28K D26352 6.52* 9.97* 13.76 1.19 
Calcium-binding protein D-9k AF028071 5.70* 7.21* 11.31 1.15 
Calcyclin X66449 1.34 1.86* 3.29 1.24 
Calcium-binding protein S100A1 AF087687 1.69* 1.57* 1.60 0.77 
Steroid related      
    Upregulated      
Hydroxysteroid 11-β-dehydrogenase 2 X90647 2.52* 3.86* 5.17 2.24 
Glucocorticoid-regulated kinase AW046181 2.12* 1.91* 3.07 1.28 
Progesterone receptor membrane component 1 AF042491 1.34* 1.69* 2.51 0.98 
    Downregulated      
Hydroxysteroid 17-β-dehydrogenase 11 AA822174 0.22* 0.20* 0.23 0.99 
Extracellular matrix component      
    Upregulated      
Nephronectin AA592182 1.82* 2.58* 4.69 1.91 
Procollagen type IV (α1) M15832 1.49 2.12* 3.58 1.65 
Procollagen type XVIII (α1) U03715 1.22 1.91* 1.72 1.72 
Fibrosis related      
    Upregulated      
Endoglin X77952 2.34* 1.34 3.45 1.63 
Connective tissue growth factor M70642 1.87* 1.78* 4.05 1.87 
Chaperone      
    Downregulated      
Nucleoplasmin 3 U64450 0.45 0.46* 0.32 0.65 
Cochaperone mt-GrpE#2 AF041060 0.80 0.54* 0.66 0.93 
Solute carrier family      
    Upregulated      
Solute carrier family 8 AF004666 4.48* 7.89* 16.66 1.10 
Solute carrier family 3 AW122706 1.22 1.82* 2.71 1.40 
Complement related      
    Upregulated      
CD59 antigen U60473 1.82* 1.61* 2.46 1.32 
    Downregulated      
C1q- and tumor necrosis factor–related protein 3 AI315647 0.48* 0.29* 0.42 1.30 
Others      
    Upregulated      
WSB-1 AF033186 2.59* 6.69* 4.68 1.40 
Zinc finger protein 36 M58566 2.11* 1.35 2.28 1.55 
Proline dehydrogenase 2 AA675075 1.96* 1.96* 1.90 0.69 
Smad 6 AF010133 2.11* 1.65 2.52 1.57 
Cytotoxic T cell–associated protein 2 X15591 1.73* 0.89 1.93 1.20 
Aldehyde dehydrogenase II M74570 1.69* 2.11* 1.48 0.87 
Hephaestin AF082567 1.68 2.86* 5.89 1.52 
α-Mannosidase II X61172 1.49* 1.69* 2.23 1.03 
Carbonic anhydrase II M25944 1.45* 1.92* 2.13 1.06 
Hexosaminidase A U05837 1.38 1.69* 2.11 1.13 
Protein tyrosine phosphatase receptor type D D13903 1.25 1.87* 0.80 0.75 
Prominin-like 1 AF039663 1.13 2.12* 3.01 1.63 
ROMK-2 AF012834 0.88 2.11* 1.11 1.03 
    Downregulated      
CNDP dipeptidase 2 AI854839 0.08* 0.11* 0.08 0.85 
ATPase class VI 11a AA690863 0.22* 0.22* 0.24 1.62 
UDP-glucuronosyltransferase 8 U48896 0.23* 0.21* 0.13 0.99 
Chemokine-like factor superfamily 6 AW125031 0.33* 0.34* 0.39 1.38 
Hepatic nuclear factor-1β AB008174 0.42* 0.88 1.05 1.18 
Interferon regulatory protein 6 U73029 0.46* 0.88 1.07 1.18 
Suppressor of cytokine signaling-2 U88327 0.46* 0.49 0.57 1.14 
Uromodulin L33406 0.47* 0.43* 0.72 1.29 
Carbonic anhydrase IV U37091 0.49* 0.54* 0.45 1.14 
Connexin 26 M81445 0.49* 0.65 0.97 1.52 
Growth hormone receptor U15012 0.52* 0.56* 0.48 0.97 
Aldehyde dehydrogenase 4 U14390 0.59* 0.53* 0.68 1.24 
Tripartite motif protein 47 AW048347 0.70 0.59* 0.54 1.02 
Carboxypeptidase H X61232 0.45 0.17* 0.42 1.78 
Makorin AA656621 0.69 0.58* 0.45 0.95 
Nitrilase 1 AF069988 0.74 0.59* 0.76 1.07 
Cyclophilin C M74227 0.77 0.55* 0.64 0.95 
GeneIDFold change of genes up- or downregulated in db/db mice compared with db/m
Fold change of genes up- or downregulated in pioglitazone-treated db/db mice
5 weeks7 weeksPioglitazone 3 mg/kgPioglitazone 15 mg/kg
Oxidative stress related      
    Upregulated      
Glutathione-S-transferase α2 J03958 7.77* 9.49* 10.70 0.95 
Cytochrome P450 4a14 Y11638 6.52* 15.26* 9.76 0.76 
Cytochrome c oxidase subunit VIa U08439 2.17* 14.90* 9.68 2.99 
Glutathione S transferase ω1 AI843119 1.87* 1.73* 2.16 0.81 
Glutathione S transferase ω1 AI843119 1.87* 1.73* 2.16 0.81 
Glutathione S transferase θ1 X98055: 1.73* 1.52* 1.90 1.02 
Metallothionein 1 V00835 1.61* 2.79* 4.7 1.14 
Calcipressin AI846152 1.61 2.92* 2.16 1.26 
Cytochrome P450 4a10 AB018421 1.57* 2.34* 1.73 0.82 
Antioxidant enzyme AOE372 U96746 1.31 1.91* 1.58 0.90 
    Downregulated      
Cysteine sulfinic acid decarboxylase AW120896 0.31* 0.56* 0.48 1.06 
Cytochrome P450 2e1 X01026 0.43* 0.37 0.43 0.91 
Cytochrome P450 2a4 M19319 0.45* 0.32* 0.22 0.87 
Malic enzyme supernatant J02652 0.48* 0.41* 0.51 1.11 
Glutamate cysteine ligase U95053 0.50* 0.53* 0.34 0.96 
Extracellular superoxide dismutase U38261 0.60* 0.70* 0.70 1.50 
Peroxisomal acyl-CoA oxidase AF006688 0.74 0.56* 0.72 1.02 
Lipid metabolism related      
    Upregulated      
Apolipoprotein E D00466 3.00* 3.32* 4.98 1.16 
Stearoyl-coenzyme A desaturase 2 M26270 2.34* 2.06* 3.09 1.26 
Thioredoxin interacting protein AI839138 1.96* 1.3 1.43 1.17 
Oxysterol-binding protein like 5 AW121299 1.78* 1.41 2.15 1.09 
Phosphatidic acid phosphatase 2b AI847054 1.65* 0.95 2.93 2.10 
Acetyl coenzyme A acyltransferase 2 AI849271 1.28* 1.82* 1.91 0.89 
Sterol-C4 methyl oxidase like AI848668 1.13 2.06* 2.39 2.06 
Acetyl-coenzyme A synthetase 2 AW125884 1.19 1.65* 2.16 0.99 
    Downregulated      
Lipoprotein lipase M63335 0.13* 0.17* 0.09 0.93 
Alcohol dehydrogenase class I gene M22679 0.22* 0.23* 0.21 1.08 
Degenerative spermatocyte homolog 2 AI852933 0.27* 0.25* 0.24 0.97 
α-Methylacyl-CoA racemace U89906 0.36* 0.28* 0.37 0.98 
Diphosphate δ isomerase AA716963 0.36* 0.35* 0.27 0.91 
Enoyl-coenzyme A hydratase AJ011864 0.46* 0.43* 0.22 1.23 
Coenzyme A synthase AI837229 0.53* 0.36* 0.29 0.88 
Fatty acid transporter protein 2 AF072757 0.68 0.54* 0.49 0.89 
Lysophospholipase 1 AA840463 0.72 0.61* 0.29 0.81 
Cell growth related      
    Upregulated      
Dual-specificity phosphatase 1 X61940 2.30* 0.90 1.31 0.86 
Cysteine-rich protein 1 D88793 2.06* 1.91* 2.90 1.64 
Prothymosin β4 U38967 2.01* 1.57* 1.60 1.16 
Calpactin I heavy chain (p36) M14044 1.96* 1.31 2.04 1.18 
Cyclin-dependent kinase inhibitor 1C U22399 1.96* 1.25 1.95 1.39 
Nuclear protein 1 AI852641 1.75* 2.11* 3.84 1.56 
Minopontin X13986 1.73* 2.93* 3.25 0.94 
Annexin A1 :AV003419 1.73* 1.15 2.62 1.15 
Biglycan X53928 1.65* 1.45 2.64 1.38 
Cyclin-dependent protein kinase AI849556 1.69 2.01* 2.23 1.17 
CDC28 protein kinase regulatory subunit 2 AA681998 1.19 1.96* 1.55 1.06 
    Downregulated      
Sin3-associated protein (sap 30) AF075136 0.48* 0.36* 0.25 0.76 
Ornithine decarboxylase M12330 0.56* 0.37* 0.43 1.16 
FK506BP-rapamycin–associated protein 1 AI853977 0.58* 0.45* 0.70 1.11 
Development related      
    Upregulated      
Ephrin B2 U30244 2.11* 1.63* 1.63 1.20 
Glomerular epithelial protein 1 (PtrpO) U37465 1.73* 1.16 2.70 1.55 
Secreted frizzled related protein sFRP-2 U88567 1.69* 0.90 2.47 2.20 
Cytoplasmic protein Ndr1 U60593 1.61* 2.23* 3.23 2.11 
Transcriptional factor 21 (Pod1) AF035717 1.50* 0.61* 1.16 0.93 
HIF-1α Y09085 1.25 1.53* 1.83 1.13 
    Downregulated      
BTEB-1 (klf 9) Y14296 0.46* 0.62* 0.70 1.01 
Iroquois homeobox protein 3 Y15001 0.61* 0.47* 0.34 1.64 
Cartilage-associated protein AJ006469 0.62* 0.61* 0.80 1.35 
Glucose metabolism related      
    Upregulated      
Phosphoglycerate mutase AF029843 6.20* 5.47* 14.49 3.82 
Transketolase U05809 1.82* 1.91* 1.72 0.99 
Pyruvate kinase 3 X97047 1.78* 2.17* 2.23 1.32 
Glucose-6-phosphatase U00445 1.61* 1.25 1.13 1.01 
Phosphoenolpyruvate carboxykinase AF009605 1.60* 1.64* 1.48 1.21 
Pyruvate dehydrogenase kinase 3 AI853226 1.60* 2.12* 3.07 1.63 
N-acetylneuraminate pyruvate lyase AA710564 1.38 1.96* 3.15 1.08 
    Downregulated      
Pyruvate dehydrogenase kinase 3 AI842259 0.48* 0.49* 0.47 1.26 
β-Galactosidase M57734 0.57* 0.52* 0.63 1.16 
Vasoactive mediator related      
    Upregulated      
Kallikrein V00829 3.76* 4.26* 6.86 1.15 
Potential kallikrein gene M13500 3.40* 3.86* 4.94 0.93 
Epidermal growth factor–binding protein A M1797 3.29* 3.96* 5.19 1.15 
Kallikrein 5 Y00500 3.24* 3.24* 3.66 0.81 
Mouse renin M32352 2.93* 2.47* 3.31 1.43 
Glandular kallikrein J00389 2.72* 2.65* 3.55 1.03 
Adrenomedullin U77630 1.96* 2.52* 3.15 1.13 
Serpin M25529 1.69* 0.80 0.51 0.66 
Carboxypeptidase N AI182588 1.40* 2.11* 1.94 1.16 
Coagulation, fibrinolysis      
    Upregulated      
Coagulation factor II receptor AW123850 2.23* 1.91* 5.30 1.41 
Protein S L27439 1.61 1.86* 2.45 1.59 
Tissue factor pathway inhibitor 2 D50586 1.38 2.17* 2.49 1.02 
    Downregulated      
α2-ntiplasmin Z36774 0.30* 0.34* 0.27 1.38 
Anticoagulant protein C AF034569 0.46* 0.40* 0.46 0.84 
Cell structure      
    Upregulated      
Tubulin β2 M28739 1.96* 2.79* 2.34 1.30 
Calponin 3 AW125626 1.65* 1.57* 1.82 1.05 
Tubulin α1 M28729 1.65* 1.32 1.78 1.13 
    (Podocyte structure)      
Dystroglycan 1 AV244370 1.38 1.69* 3.49 1.13 
Actinin 4 α AI836968 1.22 1.60* 4.33 1.52 
Apoptosis related      
    Upregulated      
Clusterin D14077 3.69* 4.37* 8.34 1.13 
Gelsolin J04953 2.40* 1.69* 2.16 1.32 
    Downregulated      
Midkine M34094 0.34* 0.56* 0.50 0.87 
B-cell leukemia/lymphoma 6 U41465 0.44* 0.54* 1.11 1.32 
Calcium-binding protein      
    Upregulated      
Calbindin-28K D26352 6.52* 9.97* 13.76 1.19 
Calcium-binding protein D-9k AF028071 5.70* 7.21* 11.31 1.15 
Calcyclin X66449 1.34 1.86* 3.29 1.24 
Calcium-binding protein S100A1 AF087687 1.69* 1.57* 1.60 0.77 
Steroid related      
    Upregulated      
Hydroxysteroid 11-β-dehydrogenase 2 X90647 2.52* 3.86* 5.17 2.24 
Glucocorticoid-regulated kinase AW046181 2.12* 1.91* 3.07 1.28 
Progesterone receptor membrane component 1 AF042491 1.34* 1.69* 2.51 0.98 
    Downregulated      
Hydroxysteroid 17-β-dehydrogenase 11 AA822174 0.22* 0.20* 0.23 0.99 
Extracellular matrix component      
    Upregulated      
Nephronectin AA592182 1.82* 2.58* 4.69 1.91 
Procollagen type IV (α1) M15832 1.49 2.12* 3.58 1.65 
Procollagen type XVIII (α1) U03715 1.22 1.91* 1.72 1.72 
Fibrosis related      
    Upregulated      
Endoglin X77952 2.34* 1.34 3.45 1.63 
Connective tissue growth factor M70642 1.87* 1.78* 4.05 1.87 
Chaperone      
    Downregulated      
Nucleoplasmin 3 U64450 0.45 0.46* 0.32 0.65 
Cochaperone mt-GrpE#2 AF041060 0.80 0.54* 0.66 0.93 
Solute carrier family      
    Upregulated      
Solute carrier family 8 AF004666 4.48* 7.89* 16.66 1.10 
Solute carrier family 3 AW122706 1.22 1.82* 2.71 1.40 
Complement related      
    Upregulated      
CD59 antigen U60473 1.82* 1.61* 2.46 1.32 
    Downregulated      
C1q- and tumor necrosis factor–related protein 3 AI315647 0.48* 0.29* 0.42 1.30 
Others      
    Upregulated      
WSB-1 AF033186 2.59* 6.69* 4.68 1.40 
Zinc finger protein 36 M58566 2.11* 1.35 2.28 1.55 
Proline dehydrogenase 2 AA675075 1.96* 1.96* 1.90 0.69 
Smad 6 AF010133 2.11* 1.65 2.52 1.57 
Cytotoxic T cell–associated protein 2 X15591 1.73* 0.89 1.93 1.20 
Aldehyde dehydrogenase II M74570 1.69* 2.11* 1.48 0.87 
Hephaestin AF082567 1.68 2.86* 5.89 1.52 
α-Mannosidase II X61172 1.49* 1.69* 2.23 1.03 
Carbonic anhydrase II M25944 1.45* 1.92* 2.13 1.06 
Hexosaminidase A U05837 1.38 1.69* 2.11 1.13 
Protein tyrosine phosphatase receptor type D D13903 1.25 1.87* 0.80 0.75 
Prominin-like 1 AF039663 1.13 2.12* 3.01 1.63 
ROMK-2 AF012834 0.88 2.11* 1.11 1.03 
    Downregulated      
CNDP dipeptidase 2 AI854839 0.08* 0.11* 0.08 0.85 
ATPase class VI 11a AA690863 0.22* 0.22* 0.24 1.62 
UDP-glucuronosyltransferase 8 U48896 0.23* 0.21* 0.13 0.99 
Chemokine-like factor superfamily 6 AW125031 0.33* 0.34* 0.39 1.38 
Hepatic nuclear factor-1β AB008174 0.42* 0.88 1.05 1.18 
Interferon regulatory protein 6 U73029 0.46* 0.88 1.07 1.18 
Suppressor of cytokine signaling-2 U88327 0.46* 0.49 0.57 1.14 
Uromodulin L33406 0.47* 0.43* 0.72 1.29 
Carbonic anhydrase IV U37091 0.49* 0.54* 0.45 1.14 
Connexin 26 M81445 0.49* 0.65 0.97 1.52 
Growth hormone receptor U15012 0.52* 0.56* 0.48 0.97 
Aldehyde dehydrogenase 4 U14390 0.59* 0.53* 0.68 1.24 
Tripartite motif protein 47 AW048347 0.70 0.59* 0.54 1.02 
Carboxypeptidase H X61232 0.45 0.17* 0.42 1.78 
Makorin AA656621 0.69 0.58* 0.45 0.95 
Nitrilase 1 AF069988 0.74 0.59* 0.76 1.07 
Cyclophilin C M74227 0.77 0.55* 0.64 0.95 

Gene names were ordered according to the absolute value of the relative log ratio.

*

Significant change compared with db/m,

significant change compared with untreated db/db, in comparison analysis by Microarray Suite 5.0.

TABLE 3

Blood glucose levels of insulin tolerance test in db/db mice

0 min20 min60 min100 min160 min
Untreated db/db 157 ± 56 135 ± 75 63 ± 12 91 ± 10 120 ± 13 
db/db + 3 mg/kg pioglitazone 148 ± 30 172 ± 13 67 ± 9 94 ± 4 131 ± 4 
db/db + 15 mg/kg pioglitazone 117 ± 9 87 ± 6 58 ± 7 38 ± 78* 53 ± 15* 
0 min20 min60 min100 min160 min
Untreated db/db 157 ± 56 135 ± 75 63 ± 12 91 ± 10 120 ± 13 
db/db + 3 mg/kg pioglitazone 148 ± 30 172 ± 13 67 ± 9 94 ± 4 131 ± 4 
db/db + 15 mg/kg pioglitazone 117 ± 9 87 ± 6 58 ± 7 38 ± 78* 53 ± 15* 

Data are the means ± SE. Each group has n = 4.

*

P < 0.01 vs. untreated db/db.

TABLE 4

Effects of pioglitazone treatment on body weight, blood glucose levels, and urinary albumin excretion

Body weight (g)Blood glucose levels (mg/dl)Urinary albumin excretion (mg/16 h)Urinary albumin excretion (μg/mg creatine)
Untreated db/db 37.1 ± 0.3 575 ± 25 32.5 ± 6.3 0.49 ± 0.13 
db/db + 3 mg/kg pioglitazone 38.2 ± 0.2 521 ± 28 26.3 ± 4.0 0.42 ± 0.03 
db/db + 15 mg/kg pioglitazone 41.7 ± 0.9* 295 ± 51* 12.6 ± 1.9* 0.21 ± 0.03* 
db/m 25.4 ± 0.3 128 ± 12 5.2 ± 1.1 0.16 ± 0.02 
Body weight (g)Blood glucose levels (mg/dl)Urinary albumin excretion (mg/16 h)Urinary albumin excretion (μg/mg creatine)
Untreated db/db 37.1 ± 0.3 575 ± 25 32.5 ± 6.3 0.49 ± 0.13 
db/db + 3 mg/kg pioglitazone 38.2 ± 0.2 521 ± 28 26.3 ± 4.0 0.42 ± 0.03 
db/db + 15 mg/kg pioglitazone 41.7 ± 0.9* 295 ± 51* 12.6 ± 1.9* 0.21 ± 0.03* 
db/m 25.4 ± 0.3 128 ± 12 5.2 ± 1.1 0.16 ± 0.02 

Data are the means ± SE. Each group has n = 12.

*

P < 0.01 vs. untreated db/db.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Support for this study was provided in part by the Promotion of Fundamental Studies in Health Science of the Organization for Pharmaceutical Safety and Research of Japan and Grant-in-Aid for Scientific Research 14571044 from the Japan Society for the Promotion of the Science.

We thank Dr. Peter Mundel (Albert Einstein College of Medicine) for providing the mouse podocyte cell line MPC5. We also thank Takeda Pharmaceutical for donating pioglitazone and Dr. Richard J. Johnson (Baylor College of Medicine) for assistance in preparing this manuscript.

1.
Ismail N, Becker B, Strzelczyk, Rits E: Renal disease and hypertension in non-insulin-dependent diabetes mellitus.
Kidney Int
55
:
1
–28,
1999
2.
Parving HH, Osterby R, Rits E: Diabetic nephropathy. In
The Kidney.
6th ed. Brenner BM, Ed. Philadelphia, WB Saunders,
2000
, p.
1731
–1773
3.
Wolf G: New insights into the pathophysiology of diabetic nephropathy: from haemodynamics to molecular pathology.
Eur J Clin Invest
34
:
785
–796,
2004
4.
Dalla Vestra M, Masiero A, Roiter AM, Saller A, Crepaldi G, Fioretto P: Is podocyte injury relevant in diabetic nephropathy? Studies in patients with type 2 diabetes.
Diabetes
52
:
1031
–1035,
2003
5.
Hoshi S, Shu Y, Yoshida F, Inagaki T, Sonoda J, Watanabe T, Nomoto K, Nagata M: Podocyte injury promotes progressive nephropathy in Zucker diabetic fatty rats.
Lab Invest
82
:
25
–35,
2002
6.
Lemley KV: A basis for accelerated progression of diabetic nephropathy in Pima Indians.
Kidney Int Suppl
83
:
S38
–S42,
2003
7.
Guttmacher AE, Collins FS: Genomic medicine: a primer.
N Engl J Med
347
:
1512
–1520,
2002
8.
Fan Q, Shike T, Shigehara T, Tanimoto M, Gohda T, Makita Y, Wang LN, Horikoshi S, Tomino Y: Gene expression profiles in diabetic KK/Ta mice.
Kidney Int
64
:
1978
–1985,
2003
9.
Wada J, Zhang H, Tsuchiyama Y, Hiragushi K, Hida K, Shikata K, Kanwar YS, Makino H: Gene expression profile in streptozotocin-induced diabetic mice kidneys undergoing glomerulosclerosis.
Kidney Int
59
:
1363
–1373,
2001
10.
Wilson KH, Eckenrode SE, Li QZ, Ruan QG, Yang P, Shi JD, Davoodi-Semiromi A, McIndoe RA, Croker BP, She JX: Microarray analysis of gene expression in the kidneys of new- and post-onset diabetic NOD mice.
Diabetes
52
:
2151
–2159,
2003
11.
Susztak K, Bottinger E, Novetsky A, Liang D, Zhu Yanqing, Ciccone E, Wu D, Dunn S, McCue P, Sharma K: Molecular profiling of diabetic mouse kidney reveals novel genes linked to glomerular disease.
Diabetes
53
:
784
–794,
2004
12.
Baelde HJ, Eikmans M, Doran PP, Lappin DW, de Heer E, Bruijn JA: Gene expression profiling in glomeruli from human kidneys with diabetic nephropathy.
Am J Kidney Dis
43
:
636
–650,
2004
13.
Like AA, Lavine RL, Poffenbarger PL, Chick WL: Studies in the diabetic mutant mouse. VI. Evolution of glomerular lesions and associated proteinuria.
Am J Pathol
66
:
193
–224,
1972
14.
Schrijvers BF, Flyvbjerg A, De Vriese AS: The role of vascular endothelial growth factor (VEGF) in renal pathophysiology.
Kidney Int
65
:
2003
–2017,
2004
15.
Emoto M, Nishizawa Y, Maekawa K, Kawagishi T, Kogawa K, Hiura Y, Mori K, Tanaka S, Ishimura E, Inaba M, Okuno Y, Morii H: Insulin resistance in non-obese, non-insulin-dependent diabetic patients with diabetic nephropathy.
Metabolism
46
:
1013
–1018,
1997
16.
Ishida H, Takizawa M, Ozawa S, Nakamichi Y, Yamaguchi S, Katsuta H, Tanaka T, Maruyama M, Katahira H, Yoshimoto K, Itagaki E, Nagamatsu S: Pioglitazone improves insulin secretory capacity and prevents the loss of beta-cell mass in obese diabetic db/db mice: possible protection of beta cells from oxidative stress.
Metabolism
53
:
488
–494,
2004
17.
Kasahara M, Mukoyama M, Sugawara A, Makino H, Suganami T, Ogawa Y, Nakagawa M, Yahata K, Goto M, Ishibashi R, Tamura N, Tanaka I, Nakao K: Ameliorated glomerular injury in mice overexpressing brain natriuretic peptide with renal ablation.
J Am Soc Nephrol
11
:
1691
–1701,
2000
18.
Tanaka T, Hidaka S, Masuzaki H, Yasue S, Minokoshi Y, Ebihara K, Chusho H, Ogawa Y, Toyoda T, Sato K, Miyanaga F, Fujimoto M, Tomita T, Kusakabe T, Kobayashi N, Tanioka H, Hayashi T, Hosoda K, Yoshimatsu H, Sakata T, Nakao K: Skeletal muscle AMP-activated protein kinase phosphorylation parallels metabolic phenotype in leptin transgenic mice under dietary modification.
Diabetes
54
:
2365
–2374,
2005
19.
Esposito C, Liu ZH, Striker GE, Phillips C, Chen NY, Chen WY, Kopchick JJ, Striker LJ: Inhibition of diabetic nephropathy by a GH antagonist: a molecular analysis.
Kidney Int
50
:
506
–514,
1996
20.
Suga S, Yasui N, Yoshihara F, Horio T, Kawano Y, Kangawa K, Johnson RJ: Endothelin a receptor blockade and endothelin B receptor blockade improve hypokalemic nephropathy by different mechanisms.
J Am Soc Nephrol
14
:
397
–406,
2003
21.
Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW Jr: Obesity is associated with macrophage accumulation in adipose tissue.
J Clin Invest
112
:
1796
–1808,
2003
22.
Rajagopalan D: A comparison statistical methods for analysis of high density oligonucleotide array data.
Bioinformatics
19
:
1469
–1476,
2003
23.
Mundel P, Reiser J, Zuniga Mejia Borja A, Pavenstadt H, Davidson GR, Kriz W, Zeller R: Rearrangements of the cytoskeleton and cell contacts induce process formation during differentiation of conditionally immortalized mouse podocyte cell lines.
Exp Cell Res
236
:
248
–258,
1997
24.
Quaggin SE, Schwartz L, Cui S, Igarashi P, Deimling J, Post M, Rossant J: The basic-helix-loop-helix protein pod1 is critically important for kidney and lung organogenesis.
Development
126
:
5771
–5783,
1999
25.
Matsumoto M, Makino Y, Tanaka T, Tanaka H, Ishizaka N, Noiri E, Fujita T, Nangaku M: Induction of renoprotective gene expression by cobalt ameliorates ischemic injury of the kidney in rats.
J Am Soc Nephrol
14
:
1825
–1832,
2003
26.
Takahashi T, Huynh-Do U, Daniel TO: Renal microvascular assembly and repair: power and promise of molecular definition.
Kidney Int
53
:
826
–835,
1998
27.
Takahashi T, Takahashi K, Gerety S, Wang H, Anderson DJ, Daniel TO: Temporally compartmentalized expression of ephrin-B2 during renal glomerular development.
J Am Soc Nephrol
12
:
2673
–2682
28.
Quaggin SE, Vanden Heuvel GB, Igarashi P: Pod-1, a mesoderm-specific basic-helix-loop-helix protein expressed in mesenchymal and glomerular epithelial cells in the developing kidney.
Mech Dev
71
:
37
–48,
1998
29.
Wang R, St John PL, Kretzler M, Wiggins RC, Abrahamson DR: Molecular cloning, expression, and distribution of glomerular epithelial protein 1 in developing mouse kidney.
Kidney Int
57
:
1847
–1859,
2000
30.
Freeburg PB, Robert B, St John PL, Abrahamson DR: Podocyte expression of hypoxia-inducible factor (HIF)-1 and HIF-2 during glomerular development.
J Am Soc Nephrol
14
:
927
–938,
2003
31.
Michaud JL, Lemieux LI, Dube M, Vanderhyden BC, Robertson SJ, Kennedy CR: Focal and segmental glomerulosclerosis in mice with podocyte-specific expression of mutant alpha-actinin-4.
J Am Soc Nephrol
14
:
1200
–1211
32.
Regele HM, Fillipovic E, Langer B, Poczewki H, Kraxberger I, Bittner RE, Kerjaschki D: Glomerular expression of dystroglycans is reduced in minimal change nephrosis but not in focal segmental glomerulosclerosis.
J Am Soc Nephrol
11
:
403
–412,
2000
33.
McCarthy KJ, Routh RE, Shaw W, Walsh K, Welbourne TC, Johnson JH: Troglitazone halts diabetic glomerulosclerosis by blockade of mesangial expansion.
Kidney Int
58
:
2341
–2350,
2000
34.
Suzuki A, Yasuno T, Kojo H, Hirosumi J, Mutoh S, Notsu Y: Alteration in expression profiles of a series of diabetes-related genes in db/db mice following treatment with thiazolidinediones.
Jpn J Pharmacol
84
:
113
–123,
2000
35.
Dobrian AD, Schriver SD, Khraibi AA, Prewitt RL: Pioglitazone prevents hypertension and reduces oxidative stress in diet-induced obesity.
Hypertension
43
:
48
–56,
2004
36.
Adams RH, Diella F, Hennig S, Helmbacher F, Deutsch U, Klein R: The cytoplasmic domain of the ligand ephrin B2 is required for vascular morphogenesis but not cranial neural crest migration.
Cell
104
:
57
–69,
2001
37.
Maekawa H, Oike Y, Kanda S, Ito Y, Yamada Y, Kurihara H, Nagai R, Suda T: Ephrin-B2 induces migration of endothelial cells through the phosphatidylinositol-3 kinase pathway and promotes angiogenesis in adult vasculature.
Arterioscler Thromb Vasc Biol
23
:
2008
–2014,
2003
38.
Kairaitis LK, Wang Y, Gassmann M, Tay YC, Harris DC: HIF-1alpha expression follows microvascular loss in advanced murine adriamycin nephrosis.
Am J Physiol
288
:
F198
–F206,
2005
39.
Nyengaad JR, Rasch R: The impact of experimental diabetes mellitus in rats on glomerular capillary number and sizes.
Diabetologia
36
:
189
–194,
1993
40.
Carmeliet P, Dor Y, Herbert JM, Fukumura D, Brusselmans K, Dewerchin M, Neeman M, Bono F, Abramovitch R, Maxwell P, Koch CJ, Ratcliffe P, Moons L, Jain RK, Collen D, Keshert E, Keshet E: Role of HIF-1alpha in hypoxia-mediated apoptosis, cell proliferation and tumour angiogenesis.
Nature
394
:
485
–490,
1998
41.
Bariety J, Hill GS, Mandet C, Irinopoulou T, Jacquot C, Meyrier A, Bruneval P: Glomerular epithelial-mesenchymal transdifferentiation in pauchi-immune crescentic glomerulonephritis.
Nephrol Dial Transplant
18
:
1777
–1784,
2003
42.
Schmid P, Cox D, Bilbe G, Maier R, McMaster GK: Differential expression of TGF β 1, β 2 and β 3 genes during mouse embryogenesis.
Development
111
:
117
–130,
1991
43.
Lappin DW, McMahon R, Murphy M, Brady HR: Gremlin: an example of the re-emergence of developmental programmes in diabetic nephropathy.
Nephrol Dial Transplant
17 (Suppl. 9)
:
65
–67,
2002
44.
Raats CJ, van den Born J, Bakker MA, Oppers-Walgreen B, Pisa BJ, Dijkman HB, Assmann KJ, Berden JH: Expression of agrin, dystroglycan, and utrophin in normal renal tissue and in experimental glomerulopathies.
Am J Pathol
156
:
1749
–1765,
2000
45.
Guen N, Ding J, Deng J, Zhang J, Yang J: Key molecular events in puromycin aminonucleoside nephrosis rats.
Pathol Int
54
:
703
–711,
2004