Abstract
Obesity is one of risk factors for chronic kidney disease (CKD), but the precise mechanism involved is unclear. This study characterizes the effect of obesity‐induced glomerular inflammation, oxidative stress, and albuminuria in obese rats. Glomerular samples were collected from fatty (ZF) and lean (ZL) Zucker rats. After 2 months of feeding, body weight and albuminuria were significantly increased in ZF rats when compared to ZL rats. Expression of the inflammatory markers TNF‐α and CCR2 was significantly increased in the glomeruli of ZF rats. However, expression of IL‐6 mRNA was not increased. Analysis of renal pathology showed no glomerular expansion. As inflammatory and oxidative stress markers are associated with NF‐κB, we evaluated whether NF‐κB activation was increased in the glomeruli of mice on a high‐fat diet. Immunohistochemistry showed increased NF‐κB activation in the glomeruli when transgenic mice overexpressing an NF‐κB‐dependent enhanced green fluorescent protein were fed with a high‐fat diet. These results suggest that obesity of only 2 months duration can cause albuminuria, due to increased inflammation or oxidative stress, but may not be long enough to develop renal pathological changes.
Keywords: albuminuria, CKD, Inflammation, NF‐κB, obesity
Abbreviations
- CKD
chronic kidney disease
- IRS
insulin receptor substrate
- NF‐κB
nuclear factor κ B
- SHP‐1
Src homology‐domain‐containing phosphatase‐1
- VEGF
vascular endothelial growth factor
- ZF
fatty Zucker rats
- ZL
lean Zucker rats
Obesity is one of the common causes of chronic kidney disease (CKD), independent of glycemic control 1. Recent studies suggest that body mass index is associated with the incidence of CKD 2. We have shown that obesity‐induced abnormal metabolites may play a significant role in increasing vascular endothelial growth factor (VEGF) and subsequently the development of CKD 3. Furthermore, insulin resistance observed in obesity has been associated with cardiovascular disease 4. These results suggest that obesity‐induced abnormal metabolites may accelerate the development of CKD.
Albuminuria is an early abnormal feature of CKD and has been recognized as a marker of systemic endothelial dysfunction 5. Thus, albuminuria could reflect worsening renal function, cardiovascular disease, and increased risk of mortality 6. Data from the Prevention of Renal and Vascular End Stage Disease (PREVEND) study clearly show that increased albuminuria not only follows overt diabetic kidney disease, but is also a marker of the progression of diabetes 7. We have shown that increases in inflammation and oxidative stress are recognized in the glomerular endothelial cells in both diabetes and obesity‐induced insulin resistance states 3. Recent studies suggest that inflammatory markers are closely related to endothelial dysfunction, which has been shown to indicate the development of diabetes 8, 9, 10.
This study characterized the mechanism of albuminuria caused by inflammation and oxidative stress in the glomeruli of obese and insulin‐resistant rats.
Research design and methods
Animal studies
All animal protocols were approved by the Kindai University and Joslin Diabetes Center's Animal Care Committee in accordance with the National Institutes of Health guidelines. We used age‐matched male ZF, lean ZL rats, and C57BL/6J mice (Shimizu, Kyoto, Japan). To determine nuclear factor κΒ (NF‐κΒ) activation in the glomeruli, we used NF‐κΒ‐dependent enhanced green fluorescent protein (GFP) transgenic mice (cis‐NF‐κΒEGFP) 11. These mice were produced as described previously and kindly provided by Steve Shoelson and Jongsoon Lee at the Joslin Diabetes Center. Obesity and insulin‐resistant states were induced in 8‐week‐C57BL/6J and 8‐week‐cis‐NF‐κΒEGFP mice by feeding them a high‐fat diet (45% and 42% from fat; Shimizu, Kyoto, Japan and Harlan Tekland, Indianapolis, IN, USA, respectively) or a normal diet for 2 months. Eight‐week‐ cis‐NF‐κΒEGFP mice were the same group as published in our previous study 11.
Isolation of glomeruli
Rat glomeruli were isolated from the renal cortex by the sieving method as described previously 3.
DNA fragmentation analysis
DNA fragmentation was measured by quantitation of cytosolic oligonucleosome‐bound DNA using an ELISA, according to the manufacturer's instructions (Roche Diagnostics, Indianapolis, IN, USA).
Measurement of urinary albumin
Albuminuria was measured by Nephrat or Albuwell (Exocell Inc., Philadelphia, PA, USA) using 24‐h urine collection samples from animals housed in individual metabolic cages.
Serum triglyceride, serum total cholesterol, and plasma insulin
Serum triglyceride and serum total cholesterol were measured by LabAssay Triglyceride (Wako Chemicals, Richmond, VA, USA) and by LabAssay Cholesterol (Wako Chemicals, Richmond, VA, USA), respectively. Plasma insulin was measured by Ultra Sensitive Rat Insulin ELISA Kit (Morinaga Institute of Biological Science, Yokohama, Japan).
Real‐time PCR analysis
Total RNA was isolated from the glomeruli using an RNAeasy microcolumn with DNase treatment (Qiagen, Valencia, CA, USA). Quantification of RNA was performed with the NanoDrop ND‐1000 spectrophotometer (Thermo Scientific, Wilmington, DE, USA). cDNA was synthesized using Superscript III reverse transcriptase (Invitrogen, Carlsbad, CA, USA). mRNA expression in the glomeruli was evaluated by a SYBR green procedure (Applied Biosystems, Foster City, CA, USA). Amplification and detection were performed using the Step One Plus system (Applied Biosystems). Expression levels were normalized to levels of GAPDH. PCR primers were as follows: TNF‐α AAATGGGCTCCCTCTCATCAGTTC, TCTGCTTGGTTTGCTACGAC; IL‐6 TCCTACCCCAACTTCCAATGCTC, TTGGATGGTCTTGGTCCTTAGCC; CCR2 CTTGTGGCCCTTATTTTCCA, GAATTCCTGGAAGGTGGTCA; and GAPDH GTATTGGGCGCCTGGTCACC, CGCTCCTGGAAGATGGTGATGG.
Histological study
Kidney samples for light microscopy analysis were fixed in 4% paraformaldehyde phosphate buffer. Kidney sections (2 μm) were stained with periodic acid–Schiff. Glomeruli were digitally photographed, and the images were imported into imagej software (National Institutes of Health, Bethesda, MD, USA; https://imagej.nih.gov/ij/) and analyzed morphometrically. Dissected glomeruli from obese and control cis‐NF‐κΒEGFP mice were fixed in acetone and observed by digital fluorescence microscopy.
Data analysis
Data are expressed as mean ± SD. Comparisons among more than two groups were performed by one‐way ANOVA, followed by post hoc analysis with paired or unpaired t‐test to evaluate statistical significance. All analyses were performed using StatView (SAS Institute, Cary, CA, USA). Statistical significance was defined as P < 0.05.
Results
Physiological characteristics of experimental groups
Body weight was significantly increased in ZF rats by 1.6 ± 0.1‐fold when compared to ZL rats. Like ZF rats, mice fed with high‐fat chow showed increases in body weight when compared to mice fed with normal chow (Tables 1 and 2, P < 0.05). Plasma triglyceride and cholesterol levels in ZF rats were elevated by 7.3 ± 4.6‐fold and 1.3 ± 0.6‐fold, respectively, compared to ZL rats (P < 0.05). However, there were no significant statistical differences in the levels of plasma insulin (Table 3). Initially, there were no significant differences in albuminuria between ZF and ZL rats (Fig. 1A). However, after 2 months of feeding, albuminuria was significantly increased in ZF rats by 30 ± 20‐fold when compared to ZL rats (Fig. 1B, P < 0.05). Like rat experiments, there are no significant differences in albuminuria in mice, but when mice fed with high‐fat chow after 5 months significantly increased in albuminuria by 2.5 ± 1.3‐fold when compared to normal chow (Fig. 1C,D, P < 0.05).
Table 1.
ZL, Zucker lean rats; ZF, Zucker fatty rats. Data are expressed as means ± SD. *P < 0.05 versus ZL rats.
Table 2.
Normal chow | High fat | |
---|---|---|
Number | 6 | 4 |
Initial body weight | 25 ± 2 | 25 ± 2 |
Body weight after 5 months | 34 ± 4 | 46 ± 2* |
Data are expressed as means ± SD. *P < 0.05 versus normal chow.
Table 3.
ZL | ZF | |
---|---|---|
Triglyceride | 28.1 ± 14.3 | 195.7 ± 23.6* |
Total cholesterol | 51.2 ± 5.9 | 77.5 ± 7.0* |
Insulin | 21.9 ± 0.5 | 19.9 ± 0.5 |
ZL, Zucker lean rats; ZF, Zucker fatty rats. Data are expressed as means ± SD. *P < 0.05 versus ZL rats.
Glomerular inflammation in experimental groups
Inflammatory markers were characterized in the glomeruli with the induction of obesity. Expression of TNF‐α mRNA and CCR2 mRNA was elevated by 3.3 ± 2.4‐ and 3.1 ± 1.5‐fold in the glomeruli of ZF rats, respectively, when compared with ZL rats (Fig. 2A,B, P < 0.05). In contrast, expression of IL‐6 mRNA did not increase in the glomeruli of ZF rats after 2 months of feeding (Fig. 2C), which is consistent with our previous report 11.
Renal histology in experimental groups
We next performed morphometric analysis of glomerular surface area. There were no statistically significant differences in the glomerular surface area between ZL and ZF rats (Fig. 3; ZL, 8820 ± 1240 μm2; ZF, 9612 ± 1384 μm2, respectively).
Immunohistochemistry of NF‐κB activation in the glomeruli of mice fed a high‐fat diet
As inflammation and oxidative stress can activate NF‐κB in obesity and the insulin‐resistant state 12, we examined changes in NF‐κB activity in the glomeruli of cis‐NF‐κBEGFP mice. GFP‐positive areas were detected in the glomeruli of mice fed a high‐fat diet for 2 months, indicating NF‐κB activation (Fig. 4).
Discussion
This study reports for the first time that obesity and the insulin‐resistant state increase albuminuria, which is correlated with inflammation or oxidative stress. However, 2 months of metabolic abnormality was not enough to cause glomerular pathological changes. Previous reports have primarily focused on the activation of inflammation and oxidative stress by diabetes alone. Several studies have associated changes in inflammation and oxidative stress with albuminuria in CKD 13, 14. However, it has not been reported that inflammation and oxidative stress can increase albuminuria, in the absence of renal pathological changes.
Quantitative PCR data indicated elevation of TNF‐α and CCR2, but not IL‐6 in the glomeruli of obese animals. Previously, we have reported that levels of TNF‐α and IL‐6 mRNA are increased by diabetes, but not by insulin resistance in retina 11. Also, it is reported that obesity‐induced increases in IL‐6 did not correlate with the incidence rate of acute kidney injury, while oxidative stress marker plasma F2‐isoprostanes was increased in those patients 15. Expression of IL‐6 mRNA was mainly recognized in moderate mesangial expansion area and the interstitial expression correlated with the degree of interstitial damages in diabetic kidney disease (DKD) 16. Thus, increases in IL‐6 level could be recognized in the kidney that was damaged to some extent by insulin‐resistant state or diabetes. These findings could support the expression discrepancy between TNF‐α and IL‐6 mRNA in our study.
Our data suggest that obesity could increase TNF‐α and CCR2 in the kidney, when hyperinsulinemia is not present. Recent studies clearly show that TNF‐α and its receptors, TNF receptors 1 and 2, are correlated with estimated glomerular filtration rate 17. Interestingly, these inflammatory markers are significantly increased in CKD patients without diabetes 18.
The mechanism for obesity‐induced proteinuria appears to be via TNF‐α activation. Among the inflammatory cytokines that were activated in the glomeruli, TNF‐α appears to be the primary contributor to increased proteinuria. Previous studies indicated that TNF‐α could change membrane permeability 19 resulting in proteinuria 20. Clinically, inhibition of TNF‐α using the TNF‐α neutralizing antibody, tocilizumab, results in decreased proteinuria.
Some reports have suggested that high‐fat feeding over a prolonged time could develop mesangial expansion 21. However, glomerular histological changes were not recognized in our study. Our observation period was only 2 months, while previous studies that showed high‐fat diet‐induced renal injuries were more than 3 months. Furthermore, they used the diet 60% from fat, while 42% in our study.
It is also possible that monocyte chemoattractant protein (MCP)‐1/CCR2 pathway can be a pivotal role in developing DKD 22, 23. Furthermore, our previous study directly proved CCR2 contributed to the progression of DKD using CCR2 antagonist, propagermanium 24. Recent study using CCR2 inhibitor, CCX140‐B and being excluded advanced nephropathy showed renoprotective effects, reducing albuminuria in DKD patients 25. Our results support the idea that inflammatory cytokines may be elevated before developing renal pathological changes and inhibiting cytokine action as a possible therapeutic target could improve and prevent DKD.
Our previous work suggested that PKC activation selectively inhibits insulin/insulin receptor (IRS)1 signaling, increasing inflammation and oxidative stress in the glomerulus of ZF rats 3. Here, we demonstrate that obesity, without diabetes, induced by a high‐fat diet was able to activate NF‐κB in the glomerulus. In addition, increased TNF‐α in the glomerulus can induce albuminuria after 2 months of obesity in ZF rats. Activation of the tyrosine phosphatase, Src homology‐domain‐containing phosphatase‐1 (SHP‐1), which is increased by diabetes and PKC‐δ, causes VEGF resistance‐induced podocyte apoptosis 26. Mechanistically, this pathway is independent of inflammation, oxidative stress, and NF‐κB.
In summary, obesity can elevate the inflammatory cytokine, TNF‐α and CCR2, resulting in increases in albuminuria. Moreover, obesity‐activated NF‐κB is correlated with inflammation and oxidative stress in the glomerulus. However, 2 months of disease duration may not be long enough to develop renal pathological changes. Further understanding of the NF‐κB, TNF‐α, and CCR2 pathways could lead to effective interventions for obesity‐induced CKD.
Author contributions
AM and TY researched the data. AM wrote the manuscript, researched the data, reviewed, and edited the manuscript. GLK and SU contributed to the discussion. SU reviewed and edited the manuscript. AM and TY contributed equally to this work.
Acknowledgements
Part of this manuscript was presented at the International Diabetes Federation 2017 Congress. This work was supported by JSPS KAKENHI Grant Number 17K09720 and Yakult Bio‐Science Foundation. AM has received a speaker honorarium from Otsuka, Kyowa Kirin, Mitsubishi Tanabe, Torii, Kissei, Astellus, Ono, Kowa, Bayer, and Boehringer Ingelheim. AM has received research grants from Baxter International, Chugai Pharmaceutical, Kyowa Kirin, Sumitomo Dainippon Pharma, Otsuka, Teijin Pharma, Torii, Taisho‐Toyama, Boehringer Ingelheim, and Sanofi.
References
- 1. Madero M, Katz R, Murphy R, Newman A, Patel K, Ix J, Peralta C, Satterfield S, Fried L, Shlipak M et al (2017) Comparison between different measures of body fat with kidney function decline and incident CKD. Clin J Am Soc Nephrol 12, 893–903. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Herrington WG, Smith M, Bankhead C, Matsushita K, Stevens S, Holt T, Hobbs FD, Coresh J and Woodward M (2017) Body‐mass index and risk of advanced chronic kidney disease: prospective analyses from a primary care cohort of 1.4 million adults in England. PLoS One 12, e0173515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Mima A, Ohshiro Y, Kitada M, Matsumoto M, Geraldes P, Li C, Li Q, White GS, Cahill C, Rask‐Madsen C et al (2011) cC‐beta‐induced insulin receptor substrate‐1 dysfunction and insulin resistance in rat models of diabetes and obesity. Kidney Int 79, 883–896. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Ryden L and Mellbin L (2017) New hope for people with dysglycemia and cardiovascular disease manifestations: reduction of acute coronary events with pioglitazone. Circulation 135, 1894–1896. [DOI] [PubMed] [Google Scholar]
- 5. Siddiqi FS and Advani A (2013) Endothelial‐podocyte crosstalk: the missing link between endothelial dysfunction and albuminuria in diabetes. Diabetes 62, 3647–3655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Carrero JJ, Grams ME, Sang Y, Ärnlöv J, Gasparini A, Matsushita K, Qureshi AR, Evans M, Barany P, Lindholm B et al (2017) Albuminuria changes are associated with subsequent risk of end‐stage renal disease and mortality. Kidney Int 91, 244–251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Brantsma AH, Bakker SJ, Hillege HL, de Zeeuw D, de Jong PE, Gansevoort RT; PREVEND Study Group (2005) Urinary albumin excretion and its relation with C‐reactive protein and the metabolic syndrome in the prediction of type 2 diabetes. Diabetes Care 28, 2525–2530. [DOI] [PubMed] [Google Scholar]
- 8. Lin J, Hu FB, Rimm EB, Rifai N and Curhan GC (2006) The association of serum lipids and inflammatory biomarkers with renal function in men with type II diabetes mellitus. Kidney Int 69, 336–342. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Stehouwer CD, Fischer HR, van Kuijk AW, Polak BC and Donker AJ (1995) Endothelial dysfunction precedes development of microalbuminuria in IDDM. Diabetes 44, 561–564. [DOI] [PubMed] [Google Scholar]
- 10. Schalkwijk CG, Poland DC, van Dijk W, Kok A, Emeis JJ, Dräger AM, Doni A, van Hinsbergh VW and Stehouwer CD (1999) Plasma concentration of C‐reactive protein is increased in type I diabetic patients without clinical macroangiopathy and correlates with markers of endothelial dysfunction: evidence for chronic inflammation. Diabetologia 42, 351–357. [DOI] [PubMed] [Google Scholar]
- 11. Mima A, Qi W, Hiraoka‐Yamomoto J, Park K, Matsumoto M, Kitada M, Li Q, Mizutani K, Yu E, Shimada T et al (2012) Retinal not systemic oxidative and inflammatory stress correlated with VEGF expression in rodent models of insulin resistance and diabetes. Invest Ophthalmol Vis Sci 53, 8424–8432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Siebenlist U, Franzoso G and Brown K (1994) Structure, regulation and function of NF‐kappa B. Annu Rev Cell Biol 10, 405–455. [DOI] [PubMed] [Google Scholar]
- 13. Wang H, Chen X, Su Y, Paueksakon P, Hu W, Zhang MZ, Harris RC, Blackwell TS, Zent R and Pozzi A (2015) p47(phox) contributes to albuminuria and kidney fibrosis in mice. Kidney Int 87, 948–962. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Giacco F, Du X, D'Agati VD, Milne R, Sui G, Geoffrion M and Brownlee M (2014) Knockdown of glyoxalase 1 mimics diabetic nephropathy in nondiabetic mice. Diabetes 63, 291–299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Billings FTT, Pretorius M, Schildcrout JS, Mercaldo ND, Byrne JG, Ikizler TA and Brown NJ (2012) Obesity and oxidative stress predict AKI after cardiac surgery. J Am Soc Nephrol 23, 1221–1228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Suzuki D, Miyazaki M, Naka R, Koji T, Yagame M, Jinde K, Endoh M, Nomoto Y and Sakai H (1995) In situ hybridization of interleukin 6 in diabetic nephropathy. Diabetes 44, 1233–1238. [DOI] [PubMed] [Google Scholar]
- 17. Gohda T, Niewczas MA, Ficociello LH, Walker WH, Skupien J, Rosetti F, Cullere X, Johnson AC, Crabtree G, Smiles AM et al (2012) Circulating TNF receptors 1 and 2 predict stage 3 CKD in type 1 diabetes. J Am Soc Nephrol 23, 516–524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Gohda T, Maruyama S, Kamei N, Yamaguchi S, Shibata T, Murakoshi M, Horikoshi S, Tomino Y, Ohsawa I, Gotoh H et al (2017) Circulating TNF receptors 1 and 2 predict mortality in patients with end‐stage renal disease undergoing dialysis. Sci Rep 7, 43520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Petecchia L, Sabatini F, Usai C, Caci E, Varesio L and Rossi GA (2012) Cytokines induce tight junction disassembly in airway cells via an EGFR‐dependent MAPK/ERK1/2‐pathway. Lab Invest 92, 1140–1148. [DOI] [PubMed] [Google Scholar]
- 20. Nakamura T, Kawagoe Y, Matsuda T, Ueda A, Ueda Y, Takahashi Y, Tanaka A and Koide H (2004) Effect of granulocyte and monocyte adsorption apheresis on urinary albumin excretion and plasma endothelin‐1 concentration in patients with active ulcerative colitis. Blood Purif 22, 499–504. [DOI] [PubMed] [Google Scholar]
- 21. Deji N, Kume S, Araki S, Soumura M, Sugimoto T, Isshiki K, Chin‐Kanasaki M, Sakaguchi M, Koya D, Haneda M et al (2009) Structural and functional changes in the kidneys of high‐fat diet‐induced obese mice. Am J Physiol Renal Physiol 296, F118–F126. [DOI] [PubMed] [Google Scholar]
- 22. Vaidya VS, Niewczas MA, Ficociello LH, Johnson AC, Collings FB, Warram JH, Krolewski AS and Bonventre JV (2011) Regression of microalbuminuria in type 1 diabetes is associated with lower levels of urinary tubular injury biomarkers, kidney injury molecule‐1, and N‐acetyl‐beta‐D‐glucosaminidase. Kidney Int 79, 464–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Reddy MA, Sumanth P, Lanting L, Yuan H, Wang M, Mar D, Alpers CE, Bomsztyk K and Natarajan R (2014) Losartan reverses permissive epigenetic changes in renal glomeruli of diabetic db/db mice. Kidney Int 85, 362–373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Kanamori H, Matsubara T, Mima A, Sumi E, Nagai K, Takahashi T, Abe H, Iehara N, Fukatsu A, Okamoto H et al (2007) Inhibition of MCP‐1/CCR2 pathway ameliorates the development of diabetic nephropathy. Biochem Biophys Res Commun 360, 772–777. [DOI] [PubMed] [Google Scholar]
- 25. de Zeeuw D, Bekker P, Henkel E, Hasslacher C, Gouni‐Berthold I, Mehling H, Potarca A, Tesar V, Heerspink HJ, Schall TJ; CCX140‐B Diabetic Nephropathy Study Group (2015) The effect of CCR2 inhibitor CCX140‐B on residual albuminuria in patients with type 2 diabetes and nephropathy: a randomised trial. Lancet Diabetes Endocrinol 3, 687–696. [DOI] [PubMed] [Google Scholar]
- 26. Mima A, Kitada M, Geraldes P, Li Q, Matsumoto M, Mizutani K, Qi W, Li C, Leitges M, Rask‐Madsen C et al (2012) Glomerular VEGF resistance induced by PKCdelta/SHP‐1 activation and contribution to diabetic nephropathy. FASEB J 26, 2963–2974. [DOI] [PMC free article] [PubMed] [Google Scholar]