BASIC RESEARCH

Pirfenidone Is Renoprotective in Diabetic Kidney Disease

Satish P. RamachandraRao, Yanqing Zhu, Timothy Ravasi, Tracy A. McGowan, Irene Toh, Stephen R. Dunn, Shinichi Okada, Michael A. Shaw and Kumar Sharma
JASN August 2009, 20 (8) 1765-1775; DOI: https://doi.org/10.1681/ASN.2008090931

Abstract

Although several interventions slow the progression of diabetic nephropathy, current therapies do not halt progression completely. Recent preclinical studies suggested that pirfenidone (PFD) prevents fibrosis in various diseases, but the mechanisms underlying its antifibrotic action are incompletely understood. Here, we evaluated the role of PFD in regulation of the extracellular matrix. In mouse mesangial cells, PFD decreased TGF-β promoter activity, reduced TGF-β protein secretion, and inhibited TGF-β–induced Smad2-phosphorylation, 3TP-lux promoter activity, and generation of reactive oxygen species. To explore the therapeutic potential of PFD, we administered PFD to 17-wk-old db/db mice for 4 wk. PFD treatment significantly reduced mesangial matrix expansion and expression of renal matrix genes but did not affect albuminuria. Using liquid chromatography with subsequent electrospray ionization tandem mass spectrometry, we identified 21 proteins unique to PFD-treated diabetic kidneys. Analysis of gene ontology and protein–protein interactions of these proteins suggested that PFD may regulate RNA processing. Immunoblotting demonstrated that PFD promotes dosage-dependent dephosphorylation of eukaryotic initiation factor, potentially inhibiting translation of mRNA. In conclusion, PFD is renoprotective in diabetic kidney disease and may exert its antifibrotic effects, in part, via inhibiting RNA processing.

Diabetic nephropathy (DN) is the single major cause of the emerging epidemic of ESRD in the United States,1 accounting for nearly 50% of all new cases.2 Characteristic morphologic lesions of DN include glomerular hypertrophy, thickening of the basement membrane, and mesangial expansion.3 Several interventions, such as tight glycemic control and antihypertensive therapy, especially angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor blockers,4–9 have been shown to slow the progression of established disease. Nevertheless, DN remains a major long-term complication of both types 1 and 2 diabetes,10,11 because treatment commenced after the manifestation of overt clinical nephropathy often does not arrest progression to ESRD.11 The annual medical cost for treatment of patients with diabetes ESRD is expected to be $18 to 30 billion (US) during the next decade.12–15 It is therefore imperative to identify novel drug-therapeutic regimens that can ideally arrest further progression of the disease after manifestation of nephropathy.

Pirfenidone (PFD; 5-methyl-1-phenyl-2-(1H)-pyridone) is a low molecular weight synthetic molecule that exerts dramatic antifibrotic properties in cell culture and various animal models of fibrosis.16,17 PFD has emerged as a promising oral treatment with few adverse effects in open-label clinical studies. A study of hemodialysis patients with a history of sclerosing peritonitis demonstrated that it may not be necessary to adjust dosages of PFD for renal impairment and that the drug is well tolerated even in ESRD.18 In an open-label study wherein PFD was administered to patients with advanced refractory focal sclerosis, there was a good safety profile in patients with impaired renal function and heavy proteinuria, and PFD slowed the rate of decline of renal function by 25%.19 In a Phase III trial for patients with idiopathic pulmonary fibrosis in Japan, PFD was reported to promote stabilization and improvement of lung function.20 Of note, there have been no reports that PFD may worsen renal blood flow, lower BP, affect glycemic parameters, or cause hyperkalemia, thereby making this treatment approach truly unique as compared with presently available renin-angiotensin-aldosterone antagonists. Thus, the combined experience with PFD in patients and in animal models of progressive kidney disease suggests that the compound is safe and may provide stabilization of renal function.

To determine whether PFD is potentially beneficial in diabetic kidney disease, we studied the effects of PFD in cell culture experiments and in the db/db mouse model of diabetic kidney disease. In cell culture studies, PFD inhibited TGF-β production and TGF-β signaling and reduced TGF-β–induced reactive oxygen species (ROS) production. In the db/db mouse, PFD promoted resolution of mesangial matrix when administered after the onset of nephropathy. For identification of novel pathways of PFD relevant to DN, proteomic studies of the whole kidneys followed by bioinformatic analyses revealed RNA processing as a novel mechanism of PFD action. In support of a role of PFD to affect mRNA translation, PFD was found to regulate the activity of eukaryotic initiation factor (eIF4E), a key mRNA cap-structure binding protein, in mesangial cells in culture.

Results

Pirfenidone Reduces TGF-β Production and Inhibits TGF-β Signaling

To determine whether PFD regulates TGF-β production in murine mesangial cell (MMC) line, we performed studies to evaluate the effect of PFD on the glucose-responsive TGF-β1 promoter (pA835)21 and on TGF-β1 protein secreted in the conditioned media (Figure 1). PFD was able to reduce both the TGF-β1 promoter activity and TGF-β1 protein secretion but at different dosages. The promoter activity was significantly inhibited at 500-μg/ml concentrations, whereas PFD inhibited secreted TGF-β protein at 100 μg/ml (Figure 1). Thus, in relation to the TGF-β system, PFD seems to be more sensitive to inhibit protein production as compared with gene transcription.

Figure 1.
Figure 1.

(A) PFD effects on glucose-induced TGF-β1 promoter A 835-luciferase activity. PFD decreases the glucose-induced activity of TGF-β1 promoter A835-luciferase in MMCs at 100 μg/ml, that becomes significant at 500 μg/ml. *P < 0.05 PFD 500 μg/ml versus control (n = 4). (B) PFD reduces TGF-β1 protein levels. To determine whether PFD reduces matrix by lowering TGF-β production, we measured TGF-β1 levels by ELISA in the conditioned media. As compared with control, PFD decreased secreted TGF-β1 significantly at all dosages tested.*P < 0.05, PFD treatment versus control (n = 3).

To evaluate effects of PFD on TGF-β signaling, we assessed Smad2 phosphorylation and 3TP-Lux activity. PFD inhibited TGF-β–induced Smad2 phosphorylation (Figure 2A) at all dosages of 100 to 1000 μg/ml. Surprisingly, there was also an effect of PFD to reduce total Smad2/3 protein. PFD also inhibited TGF-β1–induced 3TP-Lux activity as shown in Figure 2B, but the inhibition reached significance only at a concentration of 1000 μg/ml.

Figure 2.
Figure 2.

(A) Effect of PFD on phospho-Smad2 protein upregulation by TGF-β. As shown in this Western blot, low-dosage PFD had no effect on Smad2 phosphorylation, but, at higher dosages, it partially reduced Smad2 phosphorylation. (B) PFD effects on 3TP-lux activity and TGF-β1 promoter activity. TGF-β1 increased 3TP-LUX promoter activity by six-fold in HEK293 cells. PFD reduced TGF-β1 promoter activity only at dosages 600 μg/ml and significantly blocked 50% of the increase at 1000 μg/ml dosage. *P < 0.05, TGF-β treatment versus control (n = 5); **P < 0.05, PFD + TGF-β treatment versus TGF-β treatment alone (n = 5).

Pirfenidone Reduces TGF-β–Induced Mesangial Cell ROS Generation

We recently demonstrated that TGF-β stimulates ROS production via an NADPH oxidase pathway and with a time course that is likely independent of Smads.22 Because PFD has been postulated to inhibit NADPH oxidase in other cell types,23 we determined whether there was a similar effect of PFD to block TGF-β–induced ROS in mesangial cells. As shown in Figure 3, PFD blocked the TGF-β–induced increase in the ROS production in mesangial cells (100 to 1000 μg/ml, in a dosage-dependent manner).

Figure 3.
Figure 3.

ROS quantification in MMCs treated with TGF-β and PFD. MMCs grown in 96-well plates were serum-deprived and treated with TGF-β in the presence of varying amounts of PFD as described in the Concise Methods section. ROS generated in MMCs subsequent to treatment with these reagents was quantified using Amplex Red Assay kit. *P < 0.05, TGF-β treatment versus control (n = 6); **P < 0.05, PFD+TGF-β treatment versus TGF-β treatment alone (n = 6).

PFD Inhibits TGF-β–Induced Matrix Gene Expression in Mesangial Cells

Mesangial cells exposed to TGF-β1 (10 ng/ml) for 24 h exhibit a stimulation of α1(I) collagen and α1(IV) collagen mRNA levels (Figure 4). Pretreatment with PFD (added 30 min before TGF-β1 addition) reduced TGF-β–stimulated type I collagen (Figure 4A) and type IV collagen (Figure 4B).

Figure 4.
Figure 4.

MMCs were treated with TGF-β alone, PFD alone, or PFD and TGF-β (30 min before TGF-β treatment) and left in culture for 24 h before harvesting. Total RNA was isolated from the MMCs using the RNeasy Mini Kit (Qiagen, Valencia, CA) according the manufacturer's instructions. (A and B) Real-time PCR was performed using the primers for α1-type I collagen (A) and α1-type IV collagen (B) and normalized against 18S as listed in supplemental section. *P < 0.05, TGF-β treatment versus control.

PFD Inhibits Mesangial Matrix Expansion in db/db Mice but Does not Affect Albuminuria

The db/db mice in a C57Bl6KS background demonstrate albuminuria and mesangial matrix expansion by 12 to 16 wk of age. To determine whether PFD would have benefit after the onset of diabetic kidney disease, we treated db/db mice with oral PFD from week 17 to week 21. There was no effect of PFD on blood glucose levels or albuminuria (Table 1). At 21 wk of age, there was a marked increase in grade 3 and grade 4 glomerulosclerosis in db/db mice as compared with db/m mice. This was accompanied by arteriolar hyalinosis. Four weeks of PFD treatment led to a significant reduction in the degree of mesangial matrix expansion as the percentage of glomeruli with grade 4 lesions decreased by >50% and there were more glomeruli with the mild grade 2 lesions (Figure 5A, Table 2). The glomerular volume was increased in the db/db mice, and PFD treatment did not significantly affect glomerular size (Table 2); however, PFD reduced the diabetic stimulation of renal type I collagen, type IV collagen, and fibronectin gene expression to control levels (Figure 5B).

View this table:
Table 1.

Clinical parameters of mice at the beginning and the end of studya

View this table:
Table 2.

PFD reduces glomerular mesangial matrix expansion

Figure 5.
Figure 5.

(A) PFD reduces the mesangial matrix expansion in db/db mice. Representative micrographs taken from kidney in db/m, untreated db/db and PFD-treated db/db mice. See Table 2 for semi-quantitative scoring of the glomerular matrix. (B) PFD inhibits renal collagen and fibronectin expression in db/db mice. Quantitative real time PCR was performed with kidney cortex from all 3 groups (type I collagen, type IV collagen, and fibronectin), each normalized against 18S. *P < 0.05 db/db versus db/m.

PFD Treatment Alters Protein Expression in the Kidney

To identify potential new pathways by which PFD may be beneficial in diabetic kidney disease, we carried out proteomics of kidneys from the nondiabetic, diabetic, and diabetic mice treated with PFD. Proteomics were performed on kidney lysate by liquid chromatography with subsequent tandem mass spectrometry (LC-MS/MS), and the results are summarized in the Venn diagram shown in Figure 6. Twenty-one proteins were uniquely found in PFD-treated diabetic kidneys (Table 3). Several of these proteins were involved in calcium signaling, RNA translation, nucleotide-binding proteins, and nuclear translocation.

Figure 6.
Figure 6.

(A) Venn diagram depicting the distribution of proteins in normal db/m mouse kidney. (B) PFD-treated db/db diabetic mouse kidney. (C) db/db diabetic mouse kidney (n = 4).

View this table:
Table 3.

Proteins unique to db/db mouse kidneys treated with PFD

Network-Based Analysis Reveals a Possible New Mechanism of PFD Action in Diabetic Kidney Disease

To gather more insight into the PFD-activated pathways in the diabetic kidney, we explored the 21 newly identified PFD-unique proteins (Table 3) with respect to their physical interactions in a protein–protein interaction network (PPI). Due to the paucity of murine PPI data, we assembled a corresponding human PPI network, comprising 57,235 interactions among 11,203 proteins, integrated from yeast two-hybrid experiments,24,25 predicted interactions via orthology,26 and curation of the literature.27–30 Of the 21 PFD-unique mouse proteins, 14 have clear human orthologs (Table 4) and 11 were able to be mapped onto the PPI network (Figure 7). Aiming to construct a PFD-centered network, we then pulled out the first interacting neighbors of the 11 PFD-unique proteins, resulting in a network comprising 518 proteins and 655 interactions. Interestingly, there was only one interaction between two PFD-unique proteins: The splicing factor arginine/serine-rich involved in premRNA splicing (SFRS4) and the heterogeneous nuclear ribonucleoprotein heterogeneous nuclear ribonucleoprotein H (hnRNPH2; Figure 7). Gene ontology and pathways enrichment analysis revealed that the majority of the significantly enriched biologic functions are related to posttranscriptional or posttranslational regulation pathways such as ubiquitin cycle, control of protein translation, and mRNA processing (Supplemental Figure 1, Supplemental Table 1). Of particular interest is the interplay between hnRNPH2 and SFRS4. Both of these proteins not only physically interact with each other but also share 90 interacting proteins with members of the heterogeneous nuclear ribonucleoproteins, splicing factors, and mRNA polymerase protein families. These proteins are central to pathways involved with pre-mRNA processing, splicing, and localization (Figure 7).

View this table:
Table 4.

Human orthologs of PFD-unique mouse proteins

Figure 7.
Figure 7.

Protein–protein interaction network of PFD-unique db/db kidney proteome. The figure depicts the human protein–protein interaction network centered on 11 human proteins orthologous to the mouse proteins identified only in PFD-treated db/db kidneys. The network comprises 518 proteins and 655 interactions. The PFD-unique interacting proteins are grouped in the meta-nodes depicted by rectangular structures. The enriched gene ontology categories are reported for each meta-node with shades based on the enrichment P value. The total number of proteins in each meta-node is also featured.

PFD Treatment Regulates eIF4E Phosphorylation

Several studies have shown that increased phosphorylation of eIF4E stimulates initiation of mRNA translation.31–34 eIF4E phosphorylation increases binding to capped mRNA in vitro,35 thereby modulating mRNA translation initiation in cells.34 PFD induced dephosphorylation of eIF4E in a dosage-dependent manner (Figure 8).

Figure 8.
Figure 8.

(A) Effect of PFD dosage on phosphorylation of eIF4E protein. As shown in this Western blot, PFD decreased eIF4E phosphorylation in a dosage-dependent manner. (B) Quantification of P-eIF4E/total eIF4E from immunoblots in A (n = 4). Data are means ± SEM. *P < 0.05 PFD treatment versus control.

Discussion

Novel treatments for DN are urgently required. Antifibrotic agents that are orally available and work via a nonhypoglycemic and nonhypertensive pathway would be especially attractive as disease-modifying therapies. In this study, we demonstrate the effects of PFD to inhibit numerous pathways in cell culture and in a mouse model of diabetic kidney disease. Although the exact mechanism of action remains unclear, we demonstrate that PFD can block TGF-β production at the transcriptional and protein levels, inhibit TGF-β–induced Smad phosphorylation and TGF-β–induced gene transcription, and inhibit TGF-β–induced matrix stimulation in mesangial cells. In the db/db mouse, PFD provides histologic protection after the onset of diabetic kidney disease. Using a proteomic approach, we identified novel pathways that may be relevant to the in vivo effects of PFD in diabetic kidney disease.

The inhibition of the glucose-responsive promoter of TGF-β suggests that PFD would have effects on the regulation of signaling pathways and transcription factors involved in high-glucose stimulation of the TGF-β1 gene. The signaling pathways stimulated by high glucose to regulate TGF-β include protein kinase C, extracellular signal–regulated kinase, p38, and ROS production. Which of these pathways may be involved to inhibit high-glucose stimulation is unclear.

PFD seems to have several effects in the Smad pathway. Our data demonstrate that PFD inhibits Smad2 phosphorylation. PFD is able to inhibit the stimulation of both type I collagen and α1(IV) collagen by TGF-β in mesangial cells. Our cell culture data demonstrate that PFD is able to inhibit both the stimulation of TGF-β and its downstream pathways to stimulate matrix gene expression.

Apart from effects of PFD on matrix regulation, there is a growing recognition that PFD has potent anti-inflammatory activities. Of interest is the potent effects of PFD to inhibit TGF-β–induced ROS production in mesangial cells (in this study), suggesting that PFD may be inhibiting NADPH oxidase. Indeed, PFD can inhibit NADPH oxidase, act as a scavenger of ROS and OH−, and inhibit lipid membrane peroxidation, suggesting that one effect of PFD may be via its antioxidant pathway.23,36,37

To determine whether PFD may be renoprotective after the onset of diabetic kidney disease, we chose the C57BLKS db/db mouse model. A major benefit of the model is the consistent temporal development of hyperglycemia (6 to 8 wk), albuminuria (10 to 12 wk), and mesangial matrix expansion (14 to 16 wk). Our treatment protocol therefore started with oral PFD at 17 wk, and the treatment was continued for 4 wk. Even with such a short treatment protocol, we found a significant reduction in the degree of diffuse glomerular mesangial matrix expansion and a reduction in renal gene expression of type IV collagen. The degree of resolution of both mesangial matrix expansion and renal type IV collagen gene expression was similar to previous studies with intraperitoneally administered anti–TGF-β antibodies.38–40 The results of the preclinical studies in this accepted mouse model of diabetic kidney disease is strong evidence in support of potential renoprotective benefit of oral PFD in human DN.

Interestingly, we did not see a benefit of PFD to reduce albuminuria in the db/db mice. The results are again similar to the effect of anti–TGF-β antibodies in that there is a dissociation of renoprotective benefits and reduction of albuminuria. The data would support the concept that different pathways are involved in regulating albuminuria from mesangial matrix expansion and that renoprotection could occur in the face of persistent albuminuria. Previous reports of animal models of kidney disease demonstrated a consistent reduction of renal matrix accumulation with PFD but varying effects on proteinuria.41–43 These data are important in interpreting clinical data from antifibrotic approaches. It is clearly conceptually possible to have effects to reduce mesangial matrix expansion and by inference protect the GFR, without necessarily reducing albuminuria. Another important factor that seems to be refractive to PFD treatment is the BP. A BP-lowering effect as a result of PFD treatment cannot be ruled out in our studies; however, PFD was not found to lower BP in previous animal or human studies when BP was measured.44–46

Angiotensin receptor antagonists have been used in the db/db mouse model,47–53 and generally show DN to be delayed by the use of ACEIs.47 Although we have not performed comparative studies with blockers of renin-angiotensin system (RAS), we speculate that treatment with PFD will be additive to that of ACEIs and angiotensin antagonists. As PFD has no reported effect on BP or blocking of the RAS, the mechanism of renoprotection by PFD is likely distinct to blockers of the RAS. Of note, one clinical study with PFD in patients with FSGS did not find any reduction of BP.46

Thus far, the only clinical study reported to date for PFD in kidney disease is an open-label study of patients with advanced FSGS.19 This study demonstrated that patients with refractory FSGS, whose disease did not respond to steroids, may have a slower decline in the renal function with PFD. Interestingly, PFD was found to have a significant reduction in slowing the rate of progression without affecting albuminuria.19 However, the lack of effect on proteinuria raises the question of how to monitor patients with antifibrotic therapies to determine whether such an approach provides benefit in our animal study. It is also possible that the lack of rapid weight gain could potentially play a role in reducing the degree of progressive kidney disease; however, it is unlikely that this would be the major reason for the PFD-induced improvement, because the mice did continue to gain weight while on the drug. Clearly, for advancing the progress of testing novel clinical therapies, new biomarkers related to ongoing renal fibrosis and inflammation are urgently needed.

As an initial attempt to identify novel biomarkers that would be relevant to PFD treatment of diabetic kidney disease and to understand the potential mechanism of renoprotection, we performed a proteomic screen of the kidneys in our study with db/db mice. Identification of proteins uniquely present in the PFD-treated kidneys demonstrated that several were involved in mRNA translation. Gene ontology and interaction analyses of the human orthologs of PFD-unique mouse proteins revealed a network comprising 518 proteins and 655 interactions and an interplay between hnRNPH and SFRS4. hnRNPH2 binds heterogeneous nuclear RNA and has been shown to have either exon-enhancing or -silencing activity, depending on the context of the binding site.54,55 SRFS4 binds to pre-mRNA transcripts and components of the spliceosome and can either activate or repress splicing, depending on the location of the pre-mRNA binding site. Its ability to activate splicing is regulated by phosphorylation and interactions with other splicing factor–associated proteins (http://harvester.fzk.de/harvester/human).56–58

Several studies have previously linked DN to dysregulation of mRNA translational processing,32,33,59,60 therefore we postulated that the effect of PFD on induction of mRNA processing pathways may underlie its beneficial effects in diabetic kidney disease. One of the key proteins involved in mRNA translation is eIF4E, which binds to the 5′ cap structure of mRNA. Phosphorylation increases the binding of eIF4E to capped mRNA in vitro and results in increased protein synthesis.34 In mesangial cells, PFD inhibited the eIF4E phosphorylation in a dosage-dependent manner. These data strongly suggest that PFD modulates mRNA/protein synthesis. Interestingly, eIF4E phosphorylation is stimulated by high glucose.33 The new data are the first evidence that PFD can potentially regulate mRNA translation of proteins, and the proteomic and network analysis suggests that this pathway may be of major significance in diabetic kidney disease.

In summary, PFD has beneficial effects in cell culture systems to reduce TGF-β production and activity. PFD also has potent anti-inflammatory effects as a result of its ability to block ROS production in mesangial cells. Administration of oral PFD led to a dramatic reduction of glomerular mesangial matrix with a short course of therapy after the onset of established disease in the db/db mouse model. As numerous candidate pathways are affected by PFD, further studies using unbiased approaches are necessary to establish the dominant pathways by which PFD may confer renoprotective benefits. These insights will be crucial to best determining the clinical monitoring of patients with progressive kidney disease and improve the likelihood of rapid advancement of novel clinical therapies focused on reducing inflammation and fibrosis.

Concise Methods

Cell Culture and Transfection Studies

MMCs and HEK293 cells were used in cell culture studies. MMCs were originally isolated from kidneys of SJL/J(H-2) normal mice and transformed with non–capsid-forming SV-40 virus to establish a permanent cell line.61 MMCs were maintained at 37°C in a humidified incubator with 5% CO2/95% air and propagated in DMEM (Life Technologies BRL, Gaithersburg, MD) containing 10 mM d-glucose, 10% FCS, 100 U/ml penicillin, 100 mg/ml streptomycin, and 2 mM supplemental glutamine. HEK293 cells were obtained from American Type Culture Collection (ATCC) (Manassas, VA) and cultured in DMEMG450/10% FCS medium. For transient transfection studies, MMCs or HEK293 cells were transfected using Lipofectamine2000 (Invitrogen, Carlsbad, CA). Plasmids used included the glucose-responsive TGF-β1 promoter-reporter construct pA835-luciferase (pA835-luc),21 the 3TP-lux TGF-β–sensitive plasmid, and a plasmid for β-galactosidase (pLENXZ) to standardize for transfection efficiency. After transfection, cells were treated with varying dosages of PFD (100 to 1000 μg/ml) for up to 24 h. Cells were then harvested, and luciferase and β-galactosidase activity was measured, as described previously.21

TGF-β1 Protein Level Measurement by ELISA

TGF-β1 protein level was measured by double-sandwich ELISA (Quantikine; R&D Systems, Minneapolis, MN) in the conditioned medium of MMCs after treatment with varying dosages of PFD (100 to 1000 μg/ml). TGF-β1 levels were factored for total cell protein as described previously.21

Western Blot Analysis

MMCs were grown in six-well plates with DMEM/10% FCS until 80% confluence. Cells were then serum-starved for 16 h and modulated with various dosages of PFD before TGF-β1 treatment. The total protein was isolated by cell lysis buffer (50 mM Tris [pH 7.2], 150 mM NaCl, 1% TritonX-100, 1 mM EDTA, and protease inhibitor cocktail). For phospho-Smad2 detection, 40 μg of total protein was electrophoresed on 10% SDS gel and transferred to the nitrocellulose membrane, blocked, and incubated with pSmad2 antibody at 1:500 dilution. Enhanced chemiluminescence by horseradish peroxidase–tagged secondary antibody enabled visualization of the protein band as described previously.63 The membranes were subsequently stripped and immunoblotted with total Smad2/3 (Santa Cruz Biotechnology, Santa Cruz, CA). Immunoblotting for phospho-eIF4E was carried out as already described, followed by total eIF4E immunoblotting (Cell Signaling Technology, Danvers, MA).

ROS Quantification by Amplex Red Assay

As a quantitative index of ROS generation, the Amplex Red reagent (10-acetyl-3,7-dihydroxyphenoxazine; Amplex Red Hydrogen Peroxide/Peroxidase Assay Kit; Molecular Probes, Eugene, OR) was used, as described previously.22 MMCs cultured on 96-well black plates were rested overnight and modulated with PFD and/or TGF-β. Fluorescence intensity was kinetically recorded with excitation at 544 nm and emission at 590 nm at 37°C over a 20-cycle period with 10 flashes per well via fluorescence plate reader (POLARstar OPTIMA; BMG Labtechnologies, Durham, NC). Measurements were made at 1-min intervals during a 20-min period. The data are reported as the mean value from each well during a 20-cycle period with n = 6 wells per experiment. Each experiment was repeated three times.

Interventional Animal Studies

Five- to 6-wk-old male, homozygous, obese KSJ db/db mice (Lepr-db/db; Jackson Laboratories, Bar Harbor, ME) and the corresponding heterozygote lean controls (db/m) were obtained. Mice were housed four to five per cage in micro-isolators with bedding changes two or three times per week. Animal studies were approved by the institutional animal care and use committee at Thomas Jefferson University. At week 17, the db/db mice were randomly assigned to two test groups: db/db untreated and db/db treated with PFD. The db/db group that was randomized to PFD treatment had 0.5% PFD added to their food at this time, and the mice were individually caged. PFD was provided by Dr. Solomon Margolin (Marnac, Dallas, TX). Mice that were fed PFD took in approximately 25 mg/d PFD and were treated for 4 wk total from week 17 to week 21. At the end of 21 wk, mice underwent 24-h urine collections in metabolic cages and were killed. Urine albumin:creatinine was performed with ELISA specific for albumin (Exocel, Philadelphia, PA) and standardized by urine creatinine (Nova 16CRT) as described previously. The left kidney was snap-frozen in liquid nitrogen for RNA analysis and proteomic analysis. The right kidney was fixed using phosphate-buffered formalin for further histopathology studies to determine degree of glomerular matrix accumulation.

RNA Isolation and Analysis

Total RNA was extracted from mouse kidneys using the RNeasy Mini Kit (Qiagen, Valencia, CA) according the manufacturer's instructions. Real-time PCR was performed as described previously64,65 using the primers for α1-type I collagen, α1-type IV collagen, fibronectin, and 18S as listed in the Supplemental Methods.

Histopathology

The right kidney was sliced sagittally and placed in buffered formalin. After paraffin embedding, 4-μ sections were stained with PAS. Fifty glomeruli were evaluated for each kidney. The histologic specimens from both treated and nontreated db/db mice as well as controls from db/m mice were scored using a semiquantification scale from 1 to 4 as previously reported.66 Morphometry of sections of kidneys from each of the db/m, db/db, and PFD-treated db/db mice was carried out as previously reported.67 Twenty-five randomly selected glomeruli in the outer cortex of each kidney section were evaluated in a blinded manner.

Proteomic Analyses of the db/m, db/db, and PFD-Treated db/db Mouse Kidney Proteins

In solution, trypsinization of the mouse kidney proteins was carried out as follows: 10 μg of kidney proteins was taken in a final reaction volume of 100 μl, reduced by addition of dithiothreitol in 100 mM ammonium bicarbonate to a final concentration of 20 mM dithiothreitol, incubated at 50°C for 1 h, and then alkylated with 20 mM iodoacetamide at room temperature in the dark for 1 h. Assuming 10 μg of protein per sample and 1/50th of trypsin (wt/wt), 10 μl of trypsin solution (concentration 10 ng/μl in 100 mM ammonium bicarbonate solution) was added to each protein tube and digested for 24 h at 37°C, and subsequently the pH was adjusted to approximately 2 to 3 with 5% formic acid. The reaction mixture solvent resulting from in-solution trypsinization was solvent-evaporated to dryness. The dried down tryptic digests were resuspended in 15 μl of 1% formic acid. A total of 10 μl of this peptide preparation was loaded onto a Thermo Hypersil-Keystone BioBasic C18 column (0.18 × 100 mm) that served as the Surveyor HPLC front end of a ThermoElectron ProteomeX Workstation. The peptides were separated at a flow rate of 175 nl/min, using a gradient with Buffer A (0.1% formic acid in water), Buffer B (0.1% formic acid in acetonitrile), and a 2 to 50% gradient over 45 min. As peptides eluted from the column, they were subjected to ESI-Ion-trap MS in an LCQ DecaXP Plus electrospray-ion-trap MS workstation. Single full MS scan to determine the masses of analytes and MS/MS of the three biggest peaks from the preceding full scan were performed to yield the sequence information of the peptide. This entire process was repeated every 15 s during the gradient.

Bioinformatic Analysis of Proteomic Data

The peptide sequence data from MS/MS spectra were analyzed using the SEQUEST algorithm to determine the best protein matches. For obtaining reliable protein identification, Human Proteome Organization directives were used: (1) Only peptides with a ΔCn score of >0.1 were qualified; (2) the cross-correlation scores of single, double, and triple charged peptides had to be greater than 1.9, 2.2, and 3.75, respectively; and (3) rank of preliminary scoring value had to be ≤4. In addition, a peptide had to be a tryptic cleavage to be accepted, and, as modifications, the oxidation of methionine and carbamidomethylation of cysteine were permitted.

Statistical Analysis

For continuous variables, a two-tailed ANOVA was used to test means. Histology of mesangial matrix and arteriolar hyalinosis was evaluated using frequencies in a two-tailed Fisher exact test. For proteomics data analyses, total protein from three different mouse kidneys from each of the three populations (1, db/m control; 2, db/db without treatment; and 3, db/db treated with PFD) were separately analyzed by LC/MS/MS as described, and only the statistically significant identifications common to all mice (P < 0.05) from any single group were qualified for subsequent analysis.

Disclosures

None.

Acknowledgments

These studies were supported by National Institutes of Health grants RO1 DK063017, RO1 DK053867, and UO1 DK076133 to K.S. T.R. was supported by National Institute of Mental Health grant 2P30MH062261-07.

Footnotes

  • S.P.R. and Y.Z. contributed equally to this work.

  • Published online ahead of print. Publication date available at www.jasn.org.

  • Supplemental information for this article is available online at http://www.jasn.org/.

References

  1. 1.↵
    State-specific trends in chronic kidney failure—United States, 1990–2001. MMWR Morb Mortal Wkly Rep 53: 918–920, 2004
    OpenUrlPubMed
  2. 2.↵
    1. Ewens KG,
    2. George RA,
    3. Sharma K,
    4. Ziyadeh FN,
    5. Spielman RS
    : Assessment of 115 candidate genes for diabetic nephropathy by transmission/disequilibrium test. Diabetes 54: 3305–3318, 2005
    OpenUrlAbstract/FREE Full Text
  3. 3.↵
    1. Fioretto P,
    2. Steffes MW,
    3. Brown DM,
    4. Mauer SM
    : An overview of renal pathology in insulin-dependent diabetes mellitus in relationship to altered glomerular hemodynamics. Am J Kidney Dis 20: 549–558, 1992
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Lewis EJ,
    2. Hunsicker LG,
    3. Bain RP,
    4. Rohde RD
    : The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy. The Collaborative Study Group. N Engl J Med 329: 1456–1462, 1993
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Brenner BM,
    2. Cooper ME,
    3. de Zeeuw D,
    4. Keane WF,
    5. Mitch WE,
    6. Parving HH,
    7. Remuzzi G,
    8. Snapinn SM,
    9. Zhang Z,
    10. Shahinfar S
    : Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. N Engl J Med 345: 861–869, 2001
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Lewis EJ,
    2. Hunsicker LG,
    3. Clarke WR,
    4. Berl T,
    5. Pohl MA,
    6. Lewis JB,
    7. Ritz E,
    8. Atkins RC,
    9. Rohde R,
    10. Raz I
    : Renoprotective effect of the angiotensin-receptor antagonist irbesartan in patients with nephropathy due to type 2 diabetes. N Engl J Med 345: 851–860, 2001
    OpenUrlCrossRefPubMed
  7. 7.↵
    Retinopathy and nephropathy in patients with type 1 diabetes four years after a trial of intensive therapy. The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Research Group. N Engl J Med 342: 381–389, 2000
    OpenUrlCrossRefPubMed
  8. 8.↵
    1. Danesh FR,
    2. Kanwar YS
    : Modulatory effects of HMG-CoA reductase inhibitors in diabetic microangiopathy. FASEB J 18: 805–815, 2004
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Ziyadeh FN,
    2. Sharma K
    : Overview: Combating diabetic nephropathy. J Am Soc Nephrol 14: 1355–1357, 2003
    OpenUrlFREE Full Text
  10. 10.↵
    1. Hasslacher C,
    2. Ritz E,
    3. Wahl P,
    4. Michael C
    : Similar risks of nephropathy in patients with type I or type II diabetes mellitus. Nephrol Dial Transplant 4: 859–863, 1989
    OpenUrlPubMed
  11. 11.↵
    USRDS: The United States Renal Data System. Am J Kidney Dis 42 [Suppl 5]: 1–230, 2003
    OpenUrlPubMed
  12. 12.↵
    ASHP therapeutic position statement on strict glycemic control in patients with diabetes. Am J Health Syst Pharm 60: 2357–2362, 2003
    OpenUrlAbstract/FREE Full Text
  13. 13.↵
    1. Benjamin SM,
    2. Valdez R,
    3. Geiss LS,
    4. Rolka DB,
    5. Narayan KM
    : Estimated number of adults with prediabetes in the US in 2000: Opportunities for prevention. Diabetes Care 26: 645–649, 2003
    OpenUrlAbstract/FREE Full Text
  14. 14.↵
    1. Breyer MD
    : Diabetic nephropathy: Introduction. Semin Nephrol 27: 129, 2007
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Greenwald A
    : Current nutritional treatments of obesity. Adv Psychosom Med 27: 24–41, 2006
    OpenUrlPubMed
  16. 16.↵
    1. Sharma K,
    2. Ziyadeh FN,
    3. Alzahabi B,
    4. McGowan TA,
    5. Kapoor S,
    6. Kurnik BR,
    7. Kurnik PB,
    8. Weisberg LS
    : Increased renal production of transforming growth factor-beta1 in patients with type II diabetes. Diabetes 46: 854–859, 1997
    OpenUrlAbstract/FREE Full Text
  17. 17.↵
    1. Yamamoto T,
    2. Nakamura T,
    3. Noble NA,
    4. Ruoslahti E,
    5. Border WA
    : Expression of transforming growth factor beta is elevated in human and experimental diabetic nephropathy. Proc Natl Acad Sci U S A 90: 1814–1818, 1993
    OpenUrlAbstract/FREE Full Text
  18. 18.↵
    1. Taniyama M,
    2. Ohbayashi S,
    3. Narita M,
    4. Nakazawa R,
    5. Hasegawa S,
    6. Azuma N,
    7. Teraoka S,
    8. Ota K,
    9. Yamauchi S,
    10. Margolin SB
    : Pharmacokinetics of an antifibrotic agent, pirfenidone, in haemodialysis patients. Eur J Clin Pharmacol 52: 77–78, 1997
    OpenUrlCrossRefPubMed
  19. 19.↵
    1. Cho ME,
    2. Smith DC,
    3. Branton MH,
    4. Penzak SR,
    5. Kopp JB
    : Pirfenidone slows renal function decline in patients with focal segmental glomerulosclerosis. Clin J Am Soc Nephrol 2: 906–913, 2007
    OpenUrlAbstract/FREE Full Text
  20. 20.↵
    1. Azuma A,
    2. Nukiwa T,
    3. Tsuboi E,
    4. Suga M,
    5. Abe S,
    6. Nakata K,
    7. Taguchi Y,
    8. Nagai S,
    9. Itoh H,
    10. Ohi M,
    11. Sato A,
    12. Kudoh S
    : Double-blind, placebo-controlled trial of pirfenidone in patients with idiopathic pulmonary fibrosis. Am J Respir Crit Care Med 171: 1040–1047, 2005
    OpenUrlCrossRefPubMed
  21. 21.↵
    1. Hoffman BB,
    2. Sharma K,
    3. Zhu Y,
    4. Ziyadeh FN
    : Transcriptional activation of transforming growth factor-beta1 in mesangial cell culture by high glucose concentration. Kidney Int 54: 1107–1116, 1998
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Hu T,
    2. Ramachandrarao SP,
    3. Siva S,
    4. Valancius C,
    5. Zhu Y,
    6. Mahadev K,
    7. Toh I,
    8. Goldstein BJ,
    9. Woolkalis M,
    10. Sharma K
    : Reactive oxygen species production via NADPH oxidase mediates TGF-beta-induced cytoskeletal alterations in endothelial cells. Am J Physiol Renal Physiol 289: F816–F825, 2005
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. Misra HP,
    2. Rabideau C
    : Pirfenidone inhibits NADPH-dependent microsomal lipid peroxidation and scavenges hydroxyl radicals. Mol Cell Biochem 204: 119–126, 2000
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Rual JF,
    2. Venkatesan K,
    3. Hao T,
    4. Hirozane-Kishikawa T,
    5. Dricot A,
    6. Li N,
    7. Berriz GF,
    8. Gibbons FD,
    9. Dreze M,
    10. Ayivi-Guedehoussou N,
    11. Klitgord N,
    12. Simon C,
    13. Boxem M,
    14. Milstein S,
    15. Rosenberg J,
    16. Goldberg DS,
    17. Zhang LV,
    18. Wong SL,
    19. Franklin G,
    20. Li S,
    21. Albala JS,
    22. Lim J,
    23. Fraughton C,
    24. Llamosas E,
    25. Cevik S,
    26. Bex C,
    27. Lamesch P,
    28. Sikorski RS,
    29. Vandenhaute J,
    30. Zoghbi HY,
    31. Smolyar A,
    32. Bosak S,
    33. Sequerra R,
    34. Doucette-Stamm L,
    35. Cusick ME,
    36. Hill DE,
    37. Roth FP,
    38. Vidal M
    : Towards a proteome-scale map of the human protein-protein interaction network. Nature 437: 1173–1178, 2005
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Stelzl U,
    2. Worm U,
    3. Lalowski M,
    4. Haenig C,
    5. Brembeck FH,
    6. Goehler H,
    7. Stroedicke M,
    8. Zenkner M,
    9. Schoenherr A,
    10. Koeppen S,
    11. Timm J,
    12. Mintzlaff S,
    13. Abraham C,
    14. Bock N,
    15. Kietzmann S,
    16. Goedde A,
    17. Toksoz E,
    18. Droege A,
    19. Krobitsch S,
    20. Korn B,
    21. Birchmeier W,
    22. Lehrach H,
    23. Wanker EE
    : A human protein-protein interaction network: A resource for annotating the proteome. Cell 122: 957–968, 2005
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Ramani AK,
    2. Bunescu RC,
    3. Mooney RJ,
    4. Marcotte EM
    : Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome. Genome Biol 6: R40, 2005
    OpenUrlCrossRefPubMed
  27. 27.↵
    1. Alfarano C,
    2. Andrade CE,
    3. Anthony K,
    4. Bahroos N,
    5. Bajec M,
    6. Bantoft K,
    7. Betel D,
    8. Bobechko B,
    9. Boutilier K,
    10. Burgess E,
    11. Buzadzija K,
    12. Cavero R,
    13. D'Abreo C,
    14. Donaldson I,
    15. Dorairajoo D,
    16. Dumontier MJ,
    17. Dumontier MR,
    18. Earles V,
    19. Farrall R,
    20. Feldman H,
    21. Garderman E,
    22. Gong Y,
    23. Gonzaga R,
    24. Grytsan V,
    25. Gryz E,
    26. Gu V,
    27. Haldorsen E,
    28. Halupa A,
    29. Haw R,
    30. Hrvojic A,
    31. Hurrell L,
    32. Isserlin R,
    33. Jack F,
    34. Juma F,
    35. Khan A,
    36. Kon T,
    37. Konopinsky S,
    38. Le V,
    39. Lee E,
    40. Ling S,
    41. Magidin M,
    42. Moniakis J,
    43. Montojo J,
    44. Moore S,
    45. Muskat B,
    46. Ng I,
    47. Paraiso JP,
    48. Parker B,
    49. Pintilie G,
    50. Pirone R,
    51. Salama JJ,
    52. Sgro S,
    53. Shan T,
    54. Shu Y,
    55. Siew J,
    56. Skinner D,
    57. Snyder K,
    58. Stasiuk R,
    59. Strumpf D,
    60. Tuekam B,
    61. Tao S,
    62. Wang Z,
    63. White M,
    64. Willis R,
    65. Wolting C,
    66. Wong S,
    67. Wrong A,
    68. Xin C,
    69. Yao R,
    70. Yates B,
    71. Zhang S,
    72. Zheng K,
    73. Pawson T,
    74. Ouellette BF,
    75. Hogue CW
    : The Biomolecular Interaction Network Database and related tools 2005 update. Nucleic Acids Res 33: D418–D424, 2005
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. Joshi-Tope G,
    2. Gillespie M,
    3. Vastrik I,
    4. D'Eustachio P,
    5. Schmidt E,
    6. de Bono B,
    7. Jassal B,
    8. Gopinath GR,
    9. Wu GR,
    10. Matthews L,
    11. Lewis S,
    12. Birney E,
    13. Stein L
    : Reactome: A knowledgebase of biological pathways. Nucleic Acids Res 33: D428–D432, 2005
    OpenUrlCrossRefPubMed
  29. 29.↵
    1. Peri S,
    2. Navarro JD,
    3. Amanchy R,
    4. Kristiansen TZ,
    5. Jonnalagadda CK,
    6. Surendranath V,
    7. Niranjan V,
    8. Muthusamy B,
    9. Gandhi TK,
    10. Gronborg M,
    11. Ibarrola N,
    12. Deshpande N,
    13. Shanker K,
    14. Shivashankar HN,
    15. Rashmi BP,
    16. Ramya MA,
    17. Zhao Z,
    18. Chandrika KN,
    19. Padma N,
    20. Harsha HC,
    21. Yatish AJ,
    22. Kavitha MP,
    23. Menezes M,
    24. Choudhury DR,
    25. Suresh S,
    26. Ghosh N,
    27. Saravana R,
    28. Chandran S,
    29. Krishna S,
    30. Joy M,
    31. Anand SK,
    32. Madavan V,
    33. Joseph A,
    34. Wong GW,
    35. Schiemann WP,
    36. Constantinescu SN,
    37. Huang L,
    38. Khosravi-Far R,
    39. Steen H,
    40. Tewari M,
    41. Ghaffari S,
    42. Blobe GC,
    43. Dang CV,
    44. Garcia JG,
    45. Pevsner J,
    46. Jensen ON,
    47. Roepstorff P,
    48. Deshpande KS,
    49. Chinnaiyan AM,
    50. Hamosh A,
    51. Chakravarti A,
    52. Pandey A
    : Development of human protein reference database as an initial platform for approaching systems biology in humans. Genome Res 13: 2363–2371, 2003
    OpenUrlAbstract/FREE Full Text
  30. 30.↵
    1. Vastrik I,
    2. D'Eustachio P,
    3. Schmidt E,
    4. Joshi-Tope G,
    5. Gopinath G,
    6. Croft D,
    7. de Bono B,
    8. Gillespie M,
    9. Jassal B,
    10. Lewis S,
    11. Matthews L,
    12. Wu G,
    13. Birney E,
    14. Stein L
    : Reactome: A knowledge base of biologic pathways and processes. Genome Biol 8: R39, 2007
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. Flynn A,
    2. Proud CG
    : The role of eIF4 in cell proliferation. Cancer Surv 27: 293–310, 1996
    OpenUrlPubMed
  32. 32.↵
    1. Kasinath BS,
    2. Mariappan MM,
    3. Sataranatarajan K,
    4. Lee MJ,
    5. Feliers D
    : mRNA translation: unexplored territory in renal science. J Am Soc Nephrol 17: 3281–3292, 2006
    OpenUrlAbstract/FREE Full Text
  33. 33.↵
    1. Mariappan MM,
    2. Feliers D,
    3. Mummidi S,
    4. Choudhury GG,
    5. Kasinath BS
    : High glucose, high insulin, and their combination rapidly induce laminin-beta1 synthesis by regulation of mRNA translation in renal epithelial cells. Diabetes 56: 476–485, 2007
    OpenUrlAbstract/FREE Full Text
  34. 34.↵
    1. Waskiewicz AJ,
    2. Johnson JC,
    3. Penn B,
    4. Mahalingam M,
    5. Kimball SR,
    6. Cooper JA
    : Phosphorylation of the cap-binding protein eukaryotic translation initiation factor 4E by protein kinase Mnk1 in vivo. Mol Cell Biol 19: 1871–1880, 1999
    OpenUrlAbstract/FREE Full Text
  35. 35.↵
    1. Kleijn M,
    2. Scheper GC,
    3. Voorma HO,
    4. Thomas AA
    : Regulation of translation initiation factors by signal transduction. Eur J Biochem 253: 531–544, 1998
    OpenUrlPubMed
  36. 36.↵
    1. Giri SN,
    2. Leonard S,
    3. Shi X,
    4. Margolin SB,
    5. Vallyathan V
    : Effects of pirfenidone on the generation of reactive oxygen species in vitro. J Environ Pathol Toxicol Oncol 18: 169–177, 1999
    OpenUrlPubMed
  37. 37.↵
    1. Gunther A,
    2. Markart P,
    3. Eickelberg O,
    4. Seeger W
    : Pulmonary fibrosis: A therapeutic dilemma? [in German]. Med Klin (Munich) 101: 308–312, 2006
    OpenUrlCrossRefPubMed
  38. 38.↵
    1. Chen S,
    2. Iglesias-de la Cruz MC,
    3. Jim B,
    4. Hong SW,
    5. Isono M,
    6. Ziyadeh FN
    : Reversibility of established diabetic glomerulopathy by anti-TGF-beta antibodies in db/db mice. Biochem Biophys Res Commun 300: 16–22, 2003
    OpenUrlCrossRefPubMed
  39. 39.↵
    1. Okamoto A,
    2. Kawamura T,
    3. Kanbe K,
    4. Kanamaru Y,
    5. Ogawa H,
    6. Okumura K,
    7. Nakao A
    : Suppression of serum IgE response and systemic anaphylaxis in a food allergy model by orally administered high-dose TGF-beta. Int Immunol 17: 705–712, 2005
    OpenUrlCrossRefPubMed
  40. 40.↵
    1. Ziyadeh FN,
    2. Hoffman BB,
    3. Han DC,
    4. Iglesias-De La Cruz MC,
    5. Hong SW,
    6. Isono M,
    7. Chen S,
    8. McGowan TA,
    9. Sharma K
    : Long-term prevention of renal insufficiency, excess matrix gene expression, and glomerular mesangial matrix expansion by treatment with monoclonal antitransforming growth factor-beta antibody in db/db diabetic mice. Proc Natl Acad Sci U S A 97: 8015–8020, 2000
    OpenUrlAbstract/FREE Full Text
  41. 41.↵
    1. Hewitson TD,
    2. Kelynack KJ,
    3. Tait MG,
    4. Martic M,
    5. Jones CL,
    6. Margolin SB,
    7. Becker GJ
    : Pirfenidone reduces in vitro rat renal fibroblast activation and mitogenesis. J Nephrol 14: 453–460, 2001
    OpenUrlPubMed
  42. 42.↵
    1. Park HS,
    2. Bao L,
    3. Kim YJ,
    4. Cho IH,
    5. Lee CH,
    6. Hyun BH,
    7. Margolin SB,
    8. Park YH
    : Pirfenidone suppressed the development of glomerulosclerosis in the FGS/Kist mouse. J Korean Med Sci 18: 527–533, 2003
    OpenUrlPubMed
  43. 43.↵
    1. Shimizu T,
    2. Fukagawa M,
    3. Kuroda T,
    4. Hata S,
    5. Iwasaki Y,
    6. Nemoto M,
    7. Shirai K,
    8. Yamauchi S,
    9. Margolin SB,
    10. Shimizu F,
    11. Kurokawa K
    : Pirfenidone prevents collagen accumulation in the remnant kidney in rats with partial nephrectomy. Kidney Int Suppl 63: S239–S243, 1997
    OpenUrlPubMed
  44. 44.↵
    1. Harris DC,
    2. Rangan GK
    : Retardation of kidney failure: Applying principles to practice. Ann Acad Med Singapore 34: 16–23, 2005
    OpenUrlPubMed
  45. 45.↵
    1. Mirkovic S,
    2. Seymour AM,
    3. Fenning A,
    4. Strachan A,
    5. Margolin SB,
    6. Taylor SM,
    7. Brown L
    : Attenuation of cardiac fibrosis by pirfenidone and amiloride in DOCA-salt hypertensive rats. Br J Pharmacol 135: 961–968, 2002
    OpenUrlCrossRefPubMed
  46. 46.↵
    1. Nagai S,
    2. Hamada K,
    3. Shigematsu M,
    4. Taniyama M,
    5. Yamauchi S,
    6. Izumi T
    : Open-label compassionate use one year-treatment with pirfenidone to patients with chronic pulmonary fibrosis. Intern Med 41: 1118–1123, 2002
    OpenUrlCrossRefPubMed
  47. 47.↵
    1. Buleon M,
    2. Allard J,
    3. Jaafar A,
    4. Praddaude F,
    5. Dickson Z,
    6. Ranera MT,
    7. Pecher C,
    8. Girolami JP,
    9. Tack I
    : Pharmacological blockade of B2-kinin receptor reduces renal protective effect of angiotensin-converting enzyme inhibition in db/db mice model. Am J Physiol Renal Physiol 294: F1249–F1256, 2008
    OpenUrlCrossRefPubMed
  48. 48.↵
    1. Cheng Q,
    2. Law PK,
    3. de Gasparo M,
    4. Leung PS
    : Combination of the dipeptidyl peptidase IV inhibitor LAF237 [(S)-1-[(3-hydroxy-1-adamantyl)ammo]acetyl-2-cyanopyrrolidine] with the angiotensin II type 1 receptor antagonist valsartan [N-(1-oxopentyl)-N-[[2′-(1H-tetrazol-5-yl)-[1,1′-biphenyl]-4-yl]methyl]-L-valine] enhances pancreatic islet morphology and function in a mouse model of type 2 diabetes. J Pharmacol Exp Ther 327: 683–691, 2008
    OpenUrlAbstract/FREE Full Text
  49. 49.↵
    1. Chu KY,
    2. Lau T,
    3. Carlsson PO,
    4. Leung PS
    : Angiotensin II type 1 receptor blockade improves beta-cell function and glucose tolerance in a mouse model of type 2 diabetes. Diabetes 55: 367–374, 2006
    OpenUrlAbstract/FREE Full Text
  50. 50.↵
    1. Chu KY,
    2. Leung PS
    : Angiotensin II type 1 receptor antagonism mediates uncoupling protein 2-driven oxidative stress and ameliorates pancreatic islet beta-cell function in young type 2 diabetic mice. Antioxid Redox Signal 9: 869–878, 2007
    OpenUrlCrossRefPubMed
  51. 51.↵
    1. Guo Z,
    2. Su W,
    3. Allen S,
    4. Pang H,
    5. Daugherty A,
    6. Smart E,
    7. Gong MC
    : COX-2 up-regulation and vascular smooth muscle contractile hyperreactivity in spontaneous diabetic db/db mice. Cardiovasc Res 67: 723–735, 2005
    OpenUrlCrossRefPubMed
  52. 52.↵
    1. Kosugi R,
    2. Shioi T,
    3. Watanabe-Maeda K,
    4. Yoshida Y,
    5. Takahashi K,
    6. Machida Y,
    7. Izumi T
    : Angiotensin II receptor antagonist attenuates expression of aging markers in diabetic mouse heart. Circ J 70: 482–488, 2006
    OpenUrlCrossRefPubMed
  53. 53.↵
    1. Nakayama M,
    2. Inoguchi T,
    3. Sonta T,
    4. Maeda Y,
    5. Sasaki S,
    6. Sawada F,
    7. Tsubouchi H,
    8. Sonoda N,
    9. Kobayashi K,
    10. Sumimoto H,
    11. Nawata H
    : Increased expression of NAD(P)H oxidase in islets of animal models of type 2 diabetes and its improvement by an AT1 receptor antagonist. Biochem Biophys Res Commun 332: 927–933, 2005
    OpenUrlCrossRefPubMed
  54. 54.↵
    1. Black DL
    : Mechanisms of alternative pre-messenger RNA splicing. Annu Rev Biochem 72: 291–336, 2003
    OpenUrlCrossRefPubMed
  55. 55.↵
    1. Mauger DM,
    2. Lin C,
    3. Garcia-Blanco MA
    : hnRNP H and hnRNP F complex with Fox proteins to silence FGFR2 exon IIIc. Mol Cell Biol 28: 5403–5419, 2008
    OpenUrlAbstract/FREE Full Text
  56. 56.↵
    1. Chaudhary N,
    2. McMahon C,
    3. Blobel G
    : Primary structure of a human arginine-rich nuclear protein that colocalizes with spliceosome components. Proc Natl Acad Sci U S A 88: 8189–8193, 1991
    OpenUrlAbstract/FREE Full Text
  57. 57.↵
    1. Haynes C,
    2. Iakoucheva LM
    : Serine/arginine-rich splicing factors belong to a class of intrinsically disordered proteins. Nucleic Acids Res 34: 305–312, 2006
    OpenUrlCrossRefPubMed
  58. 58.↵
    1. Lopato S,
    2. Waigmann E,
    3. Barta A
    : Characterization of a novel arginine/serine-rich splicing factor in Arabidopsis. Plant Cell 8: 2255–2264, 1996
    OpenUrlAbstract/FREE Full Text
  59. 59.↵
    1. Feliers D,
    2. Lee MJ,
    3. Ghosh-Choudhury G,
    4. Bomsztyk K,
    5. Kasinath BS
    : Heterogeneous nuclear ribonucleoprotein K contributes to angiotensin II stimulation of vascular endothelial growth factor mRNA translation. Am J Physiol Renal Physiol 293: F607–F615, 2007
    OpenUrlCrossRefPubMed
  60. 60.↵
    1. Sataranatarajan K,
    2. Mariappan MM,
    3. Lee MJ,
    4. Feliers D,
    5. Choudhury GG,
    6. Barnes JL,
    7. Kasinath BS
    : Regulation of elongation phase of mRNA translation in diabetic nephropathy: Amelioration by rapamycin. Am J Pathol 171: 1733–1742, 2007
    OpenUrlCrossRefPubMed
  61. 61.↵
    1. Wolf G,
    2. Haberstroh U,
    3. Neilson EG
    : Angiotensin II stimulates the proliferation and biosynthesis of type I collagen in cultured murine mesangial cells. Am J Pathol 140: 95–107, 1992
    OpenUrlPubMed
  62. 62.
    1. Tsuchida K-I,
    2. Zhu Y,
    3. Siva S,
    4. Dunn SR,
    5. Sharma K
    : Role of Smad4 on TGF-b-induced extracellular matrix stimulation in mesangial cells. Kidney Int 63: 2000–2009, 2003
    OpenUrlCrossRefPubMed
  63. 63.↵
    1. Ramachandra Rao SP,
    2. Wassell R,
    3. Shaw MA,
    4. Sharma K
    : Profiling of human mesangial cell subproteomes reveals a role for calmodulin in glucose uptake. Am J Physiol Renal Physiol 292: F1182–F1189, 2007
    OpenUrlCrossRefPubMed
  64. 64.↵
    1. Islam M,
    2. Burke JF Jr.,
    3. McGowan TA,
    4. Zhu Y,
    5. Dunn SR,
    6. McCue P,
    7. Kanalas J,
    8. Sharma K
    : Effect of anti-transforming growth factor-beta antibodies in cyclosporine-induced renal dysfunction. Kidney Int 59: 498–506, 2001
    OpenUrlCrossRefPubMed
  65. 65.↵
    1. Kim HS,
    2. Lee G,
    3. John SW,
    4. Maeda N,
    5. Smithies O
    : Molecular phenotyping for analyzing subtle genetic effects in mice: application to an angiotensinogen gene titration. Proc Natl Acad Sci U S A 99: 4602–4607, 2002
    OpenUrlAbstract/FREE Full Text
  66. 66.↵
    1. Williams KJ,
    2. Qiu G,
    3. Usui HK,
    4. Dunn SR,
    5. McCue P,
    6. Bottinger E,
    7. Iozzo RV,
    8. Sharma K
    : Decorin deficiency enhances progressive nephropathy in diabetic mice. Am J Pathol 171: 1441–1450, 2007
    OpenUrlCrossRefPubMed
  67. 67.↵
    1. Seyer-Hansen K,
    2. Hansen J,
    3. Gundersen HJ
    : Renal hypertrophy in experimental diabetes: A morphometric study. Diabetologia 18: 501–505, 1980
    OpenUrlPubMed
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Pirfenidone Is Renoprotective in Diabetic Kidney Disease
Satish P. RamachandraRao, Yanqing Zhu, Timothy Ravasi, Tracy A. McGowan, Irene Toh, Stephen R. Dunn, Shinichi Okada, Michael A. Shaw, Kumar Sharma
JASN Aug 2009, 20 (8) 1765-1775; DOI: 10.1681/ASN.2008090931
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