Abstract
Objective:
Renovascular disease (RVD) produces chronic underperfusion of the renal parenchyma and progressive ischemic injury. Metabolic abnormalities often accompany renal ischemia, and are linked to poorer renal outcomes. However, the mechanisms of injury in kidneys exposed to the ischemic and metabolic components of RVD are incompletely understood. We hypothesized that coexisting renal artery stenosis (RAS) and metabolic syndrome (MetS) would exacerbate mitochondrial damage, aggravating post-stenotic kidney injury in swine.
Methods:
Domestic pigs were studied after 16 weeks of either standard diet (Lean) or high-fat/high-fructose (MetS) with or without superimposed RAS (n=6 each). Single-kidney renal blood flow (RBF) and glomerular filtration rate (GFR) were assessed in-vivo with multi-detector-CT, and renal tubular mitochondrial structure, homeostasis and function and renal injury ex-vivo.
Results:
Both RAS groups achieved significant stenosis. Single-kidney RBF and GFR were higher in MetS compared to Lean, but decreased in Lean+RAS and MetS+RAS versus their respective controls. MetS and RAS further induced changes in mitochondrial structure, dynamics, and function, and their interaction (diet x ischemia) decreased matrix density, mitophagy, and ATP production, and lead to greater renal fibrosis.
Conclusion:
Coexisting RAS and MetS synergistically aggravate mitochondrial structural damage and dysfunction, which may contribute to structural injury and dysfunction in the post-stenotic kidney. These observations suggest that mitochondrial damage precedes loss of renal function in experimental RVD, and position mitochondria as novel therapeutic targets in these patients.
Keywords: Renovascular disease, Renal artery stenosis, Metabolic syndrome, Mitochondria, Hypertension
Introduction
Renovascular disease (RVD) accounts for an important proportion of secondary hypertension and is increasingly associated with progressive renal dysfunction and cardiovascular complications1. In RVD, the progressive narrowing of the renal artery produces chronic underperfusion of the renal parenchyma, and ischemic injury often designated as ‘ischemic nephropathy’2, 3. Metabolic abnormalities, including obesity, hyperlipidemia, and insulin resistance, often accompany renal ischemia in the clinical setting, and are linked to poorer outcomes after renal revascularization4. Alas, elucidation of the mechanisms responsible for ongoing renal injury in RVD is critical to prevent its progression and develop novel therapies to treat this prevalent disease.
Renal tubular cells are highly dependent on adequate function of their mitochondria5, which produce 90% of cellular energy in the form of adenosine triphosphate (ATP), but also regulate numerous cellular functions, including proliferation, survival, and death6. These organelles are highly dynamic, and their functions rely on the continuous balance of biogenesis, fusion, fission, and degradation (mitophagy). Mitochondria are also the main source of reactive oxygen species (ROS), and their excessive formation may subsequently damage both mitochondrial and cell constituents. Therefore, mitochondrial injury may impair overall tubular cell function7.
We have previously shown that surgically-induced renal artery stenosis (RAS) in swine induces tubular cell mitochondrial damage in the stenotic kidney, associated with hypoxia, oxidative stress, and fibrosis8, 9. We have also shown that renal tubular cells from pigs with diet-induced metabolic syndrome (MetS) exhibit significant renal mitochondrial structural abnormalities and dysfunction, associated with renal oxidative stress, tubular injury, and fibrosis10. RAS11, 12 and MetS13, 14 alone are also associated with cardiac mitochondrial structural and functional damage in pigs. However, whether coexisting MetS and RAS magnifies mitochondrial damage remains unknown.
This study employed a novel large animal model of MetS+RAS7, 15 that closely mimics the coexistence of the ischemic and metabolic components of human RVD to test the hypothesis that concurrent MetS and RAS exacerbates mitochondrial damage, aggravating post-stenotic kidney injury in swine.
Materials and methods
The Institutional Animal Care and Use Committee approved this study. Twenty-four 3-month old female domestic pigs were studied for 16 weeks (Figure 1). We opted to use female pigs to test whether the deleterious effects on MetS and RAS on the kidney outweigh gender-specific protection16, 17. At baseline, animals were randomized into two groups, which were fed either a high-cholesterol/high-carbohydrate diet (MetS) containing (in % kcal) 17% protein, 20% complex carbohydrates, 20% fructose, and 43% fat and supplemented with 2% cholesterol and 0.7% sodium cholate by weight)18 or standard pig chow (Lean) for the duration of the study.
Six weeks later, animals were anesthetized with 0.25g of IM tiletamine hydrochloride/zolazepam hydrochloride (Telazol®, Fort Dodge Animal Health, New York) and 0.5g of xylazine, and maintained with intravenous ketamine (0.2mg/kg/min) and xylazine (0.03mg/kg/min). RAS was induced in 6 MetS and 6 Lean pigs by placing an irritant coil in the main renal artery using fluoroscopy, a procedure that gradually develops unilateral RAS within 1–2 weeks19. A sham procedure, which involves cannulating the renal artery (without placement of irritant coil) and selective renal angiography with contrast injections, was performed in the remaining 6 Lean and 6 MetS pigs.
Ten weeks later, animals were similarly anesthetized and the degree of stenosis in each animal was determined by angiography. Systemic blood samples were collected and lipid panels (enzyme immunoassay kit, Roche Diagnostics, Indianapolis), plasma renin activity (PRA, GammaCoat kit; DiaSorin), serum creatinine20, and fasting glucose and insulin levels were measured by standard procedures. Insulin resistance was assessed by the homeostasis model assessment of insulin resistance (HOMA-IR)18. Urine samples were also collected and albumin creatinine ratio (ACR) calculated. Single-kidney hemodynamics and function were assessed using multi-detector computed tomography (MDCT), and blood pressure measured with an 8 French intra-arterial catheter during MDCT studies21.
Three days later, animals were euthanized with an i.v. bolus of 100mg/kg of sodium pentobarbital (Fatal-Plus, Vortech Pharmaceuticals, Dearborn). Stenotic kidneys and hearts were harvested, and sections frozen in liquid nitrogen (and maintained at −80°C) or preserved in formalin or Trump’s fixative for ex-vivo studies.
In-vivo studies
Single-kidney volume, renal blood flow (RBF), and glomerular filtration rate (GFR) were assessed using a Flash 128 MDCT scanner (Somatom Definition Flash, Siemens Healthcare), as previously described21, 22. After a bolus of iopamidol (0.5cc/kg/2s), 70 multi-scan exposures were acquired at a cycle time of 0.67sec (flow study), followed by 70 scans at a cycle time of 2sec. Volume images were reconstructed and initiation of acquisition set to trigger near the peak of the aorta intensity signal. The duration of acquisition time encompassed the vascular phase of contrast through the cortex of the kidneys (maximal intensity). Regions of interest were selected from cross-sectional images from the aorta, renal cortex, and medulla. Average tissue attenuation curves were fitted by curve-fitting algorithms to calculate hemodynamics in cortical and medullary regions of the kidney. Cortical and medullary volumes were calculated by planimetry (Analyze, Biomedical Imaging Resource, Mayo Clinic, Rochester, Minnesota). Single-kidney GFR was calculated from the cortical curve slope and RBF by multiplying kidney volume (ml of tissue) by renal perfusion (ml/min per ml of tissue), as previously described23, 24. Visceral fat volume was traced in 15 abdominal slides around the middle level of kidney on MDCT images, and expressed as volume and fraction, as previously described18, 25–28.
Ex-vivo studies
Renal Mitochondrial Structure
Renal mitochondrial density was examined by immunofluorescence staining with the mitochondrial outer membrane marker preprotein translocases of the outer membrane (TOM)-20 (Santa Cruz Biotechnology, Catalog#: sc-11415, Dallas, TX) and quantified in 15–20 random fields using a computer-aided image analysis program (ZEN 2012 blue edition, Carl ZEISS SMT; Oberkochen, Germany).
Mitochondrial morphology was assessed in renal samples using digital electron microscopy (Phillips CM10 Transmission Electron Microscopy) and processed at the Mayo Clinic’s electron microscopy core facility. Stenotic kidney sections were preserved in Trump’s fixative and mounted on mesh grids, stained with aqueous uranyl acetate and lead citrate. For analysis, five representative tubular cells from 5 different tubules and 5 representative glomeruli were randomly selected. Tubular cells and podocytes were identified visually by well-recognized characteristics of cell diameter, shape, and size. Tubular cell and podocyte mitochondrial area, perimeter, and matrix density were measured in 5 representative mitochondria in these cells using Image-J (Version 1.5, National institute of Health)29, and the results averaged per pig.
Renal Mitochondrial homeostasis and function
Mitochondrial biogenesis was evaluated by renal expression of peroxisome proliferator activated receptor-γ-coactivator (PGC)-1α (Abcam, 1:1000, Catalog#: ab72230, Cambridge, United Kingdom). Mitochondrial fusion and fission were assessed by the expression of mitofusin (MFN)-2 (Cell signaling, 1:1000, Catalog#: 9482, Danvers, MA) and dynamin-related protein (DRP)-1 (Cell signaling, 1:1000, Catalog#: 8570, Danvers, MA), respectively. Mitophagy was measured by renal expression of BCL2 interacting protein (BNIP)-3 (Bioss, Catalog#: bs-4239R, Woburn, MA) and double immunofluorescence staining with TOM-20 and parkin (Santa Cruz, Catalog#: sc-13279, Dallas, TX). The extent of co-localization between TOM-20 and parkin was assessed with the Mander’s overlap coefficient using Image-J (Co-localization Plugin) and reported as M1 (representing overlap between Parkin and TOM-20)13, 30.
In addition, mitochondria were isolated using the MITO-ISO kit (Catalog #8268, ScienCell, Carlsbad, California)31. Frozen kidney tissue (10mg) was resuspended in assay buffer (100μl) and homogenized (10–15 passes). Samples were then centrifuged (13226g for 5min) in a microcentrifuge, and the supernatant collected. Deproteinization steps were followed according to manufacture protocol. A total of 50μl of deproteinized samples were added into the plate and read at OD570nm. Mitochondrial hydrogen peroxide (H202) production, cytochrome-c oxidase (COX)-IV activity, and ATP/ADP levels were measured by colorimetric quantitative methods (OxisResearch, BIOXYTECH® H202-560™ Assay, Cat# 21024, and abcam, Cat# ab83355, Cambridge, United Kingdom, respectively)32.
Renal injury
Renal production of superoxide anion was evaluated by fluorescence microscopy using dihydroethidium (DHE)33. Tubular injury was scored in a blinded fashion in sections stained with Periodic acid-Schiff, as previously described9, 34. Absence of brush border, dilation, atrophy, cast formation, cell detachment, or thickening of tubular basement membrane were scored from 1 to 5 (0 being normal tubules, 1: <10% of tubules injured, 2: 10–25% of tubules injured, 3: 26–50% of tubules injured, 4: 51–75% of tubules injured, 5: >75% of tubules injured). Tubulointerstitial fibrosis was assessed in midhilar renal cross-sections stained with trichrome, semi-automatically quantified in 15–20 fields, expressed as fraction of kidney surface area, and the results from all fields averaged. Glomerular score (% of sclerotic out of 100 glomeruli) was also assessed.
Cardiac mitochondrial structure
Myocardial mitochondria were examined by transmission electron microscopy, as previously described13. For analysis, five representative cardiomyocytes were randomly selected in each pig myocardium. Mitochondrial area, perimeter, and matrix density were measured using Image-J, and the results were averaged per pig.
Statistical analysis
Statistical analysis was performed using JMP (SAS) software. Results were expressed as mean ± SD or median (interquartile range). The Shaphiro-Wilk test was used to test for deviation from normality. Analysis of variance (ANOVA) and Student’s t-test were used to compare normally distributed parameters, whereas those that did not follow a Gaussian distribution were compared using nonparametric methods (Wilcoxon or Kruskal-Wallis). Two-way ANOVA was performed to analyze the effects of RAS and MetS as separate factors, and their interactions, followed by Tukey’s test as appropriate. For variables with non-normal distributions, log-transformed values were used for two-way ANOVA. Results were considered significant for p<0.05.
Results
Systemic characteristics and renal function in study groups are summarized in Table 1. Body weight and visceral fat volume (Figure S1) were similarly elevated in MetS and MetS+RAS groups compared to their respective controls. Blood pressure was equally elevated in MetS, Lean+RAS, and MetS+RAS. All RAS pigs developed moderate, but significant stenosis of a similar degree. Lipid fractions were higher in MetS groups compared Lean groups, as were fasting insulin and HOMA-IR score. Yet, glucose levels did not differ among the groups, indicating non-diabetic MetS. Serum creatinine was higher in Lean+RAS compared to Lean and MetS pigs, but further increased in MetS+RAS. However, PRA did not differ among the groups, as typical to the chronic phase of untreated RAS35. ACR was similarly higher in Lean+RAS and MetS+RAS compared to Lean and MetS, and influenced only by ischemia. Single-kidney volume, RBF, and GFR were higher in MetS compared to Lean pigs, indicating hyperfiltration, but decreased in the stenotic Lean+RAS and MetS+RAS kidneys compared to their respective controls. A 2-way ANOVA analysis revealed that renal volume, RBF, and GFR were all increased by diet and decreased by the stenosis, so that overall coexistence of MetS diet and ischemia did not measurably aggravate stenotic-kidney hemodynamics and function (Table 1, p>0.05 all). Renal volume, RBF and GFR differences between Lean+RAS and MetS+RAS and their respective controls remained significant after adjustment by body weight (all p<0.05), but did not differ between Lean and MetS+RAS.
Table 1.
Lean | MetS | Lean+RAS | MetS+RAS | p-value for Two-Way ANOVA | ||||
---|---|---|---|---|---|---|---|---|
Diet | Ischemia | Diet × Ischemia | ||||||
Body weight (Kg) | 52.5 ± 1.1 | 94.0 ± 0.8* | 50.2 ± 1.4 | 91.6 ± 1.2*‡ | <0.001 | 0.96 | 0.93 | |
MAP (mmHg) | 102.1 ± 4.2 | 119.8 ± 5.5* | 125.5 ± 9.0* | 121.2 ± 5.9* | 0.32 | 0.07 | 0.11 | |
Degree of stenosis (%) | 0 | 0 | 71.7 ± 10.5 | 68.2 ± 6.0 | 0.78 | <0.001 | 0.78 | |
Total cholesterol (mg/dl) | 83.6 ± 2.4 | 442.6 ± 28.5* | 80.2 ± 2.4 | 408.1 ± 34.4*‡ | <0.001 | 0.49 | 0.57 | |
LDL cholesterol (mg/dl) | 34.7 ± 2.4 | 347.5 ± 58* | 32.4 ± 2.5 | 336.4 ± 38.6*‡ | <0.001 | 0.85 | 0.90 | |
Triglycerides (mg/dl) | 8.3 ± 0.9 | 16.8 ± 2.0* | 8.3 ± 0.7 | 13.7 ± 1.2*‡ | <0.001 | 0.26 | 0.26 | |
Fasting insulin (mU/ml) | 0.4 [0.4–0.5] | 0.7 [0.7–0.75]* | 0.4 [0.4–0.5] | 0.7 [0.7–0.8]*‡ | <0.001 | 0.63 | 0.63 | |
HOMA-IR score | 0.65 [0.6–0.7] | 1.9 [1.8–1.9]* | 0.6 [0.6–0.7] | 1.8 [1.7–1.9]*‡ | <0.001 | 0.64 | 0.76 | |
Fasting glucose (mg/dl) | 123.7 ± 5.8 | 113.3 ± 6.8 | 121.3 ± 12.1 | 110.3 ± 9.0 | 0.25 | 0.77 | 0.97 | |
Serum creatinine (mg/dl) | 1.22 ± 0.07 | 1.34 ± 0.09 | 1.61 ± 0.04* | 1.92 ± 0.07*†‡ | <0.01 | <0.001 | 0.18 | |
ACR(mg/g) | 1.7 ± 0.5 | 1.3 ± 0.5 | 5.7 ± 1.0* | 4.8 ± 0.1* | 0.17 | <0.001 | 0.42 | |
PRA (ng/ml/h) | 0.11 [0.01–0.17] | 0.17 [0.09–0.24] | 0.24 [0.01–0.3] | 0.16 [0.04–0.22] | 0.71 | 0.97 | 0.33 | |
Renal volume (ml) | 135.6 ± 7.4 | 218.8 ± 8.7* | 78.3 ± 7.4* | 187.0 ± 8.8*†‡ | <0.001 | <0.001 | 0.16 | |
RBF (ml/min) | 503.5 ± 32.4 | 839.1 ± 89.4* | 315.8 ± 23.6* | 653.6 ± 13.0*†‡ | <0.001 | <0.01 | 0.59 | |
GFR (ml/min) | 74.3 ± 4.2 | 140.5 ± 8.3* | 45.2 ± 3.7* | 103.7 ± 7.3*†‡ | <0.001 | <0.005 | 0.93 | |
Renal volume to BW (ml/Kg) | 2.0 ± 0.1 | 2.3 ± 0.1* | 1.6 ± 0.2* | 2.0 ± 0.1†‡ | <0.01 | <0.01 | 0.91 | |
RBF to BW (ml/min/Kg) | 7.3 ± 0.6 | 9.0 ± 0.9* | 6.0 ± 0.5* | 7.0 ± 0.2†‡ | <0.05 | <0.05 | 0.59 | |
GFR to BW (ml/min/Kg) | 1.1 ± 0.1 | 1.5 ± 0.1* | 0.9 ± 0.1* | 1.1 ± 0.1†‡ | <0.001 | <0.001 | 0.24 |
MetS: metabolic syndrome, RAS: renal artery stenosis, MAP: mean arterial pressure, LDL: low-density lipoprotein, HOMA-IR: homeostasis model assessment of insulin resistance, ACR: albumin creatinine ratio, PRA: plasma renin activity, RBF: renal blood flow, GFR: glomerular filtration rate, BW: Body weight.
p<0.05 vs. Lean;
p<0.05 vs. Lean+RAS.
MetS+RAS aggravates renal mitochondrial structural damage
Mitochondrial density was similarly lower in Lean+RAS and MetS+RAS compared to Lean and MetS pigs, reflected in decreased renal immunoreactivity of the mitochondrial marker TOM-20 (Figure 2A). Transmission electron microscopy revealed that renal tubular mitochondrial area and perimeter increased in MetS and Lean+RAS compared to Lean, and further increased in MetS+RAS (Figure 2B). Contrarily, mitochondrial matrix density that decreased in MetS and Lean+RAS versus Lean further decreased in MetS+RAS, accompanied by loss of cristae structure, and the interaction of MetS diet and ischemia synergistically decreased matrix density (Figure 2C, p<0.01, 2-way ANOVA). Tubular epithelial cell mitochondrial from MetS+RAS pigs exhibit outer membrane disruption, and release of mitochondrial content into the cytosol (Figure S2). Podocyte mitochondrial density was similarly decreased in MetS, Lean+RAS, and MetS+RAS compared to Lean, and influenced only by ischemia (Figure 3A). Mitochondrial area, perimeter, and matrix density were lower in MetS compared to Lean, but the latter further decreased in Lean+RAS and MetS+RAS, and was influenced by MetS diet, ischemia, and their interaction.
MetS+RAS alters renal mitochondrial homeostasis
Renal expression of PGC-1α was similar among the groups, indicating preserved mitochondrial biogenesis (Figure 4A). Renal expression of the fusion marker MFN-2 increased in MetS compared to Lean, but decreased in Lean+RAS and MetS+RAS compared to their respective controls (Figure 4B). Renal expression of the fission marker DRP-1 remained unchanged in MetS, but similarly decreased in Lean+RAS and MetS+RAS (Figure 4C). The interaction of MetS diet and ischemia did not affect either mitochondrial biogenesis or dynamics (p>0.05, 2-way ANOVA).
Renal parkin expression and its co-localization with TOM-20 were similar between Lean and MetS, but increased in Lean+RAS and MetS+RAS groups, as did renal expression of marker BNIP-3, implying increased mitophagy (Figure 5A–B). Defective parkin and TOM-20 co-localization was associated with the effect of ischemia, and decreased BNIP-3 expression also with the interaction of MetS diet x ischemia (p>0.01, 2-way ANOVA). Transmission electron microscopy showed clusters of structurally damaged mitochondria in the vicinity of the nucleus of Lean+RAS and MetS+RAS tubular epithelial cells (Figure 5C), some of which appeared to be engulfed within mitophagosomes (Figure 5D).
MetS+RAS exacerbates renal mitochondrial dysfunction
Production of H202 in isolate mitochondria was elevated in MetS and MetS+RAS compared to Lean and Lean+RAS groups, suggesting increased mitochondrial oxidative stress (Figure 6A). Mitochondrial COX-IV activity decreased in MetS compared to Lean, and further decreased in Lean+RAS and MetS+RAS (Figure 6C). ATP generation similarly decreased in MetS and Lean+RAS compared to Lean, and further decreased in MetS+RAS (Figure 6B). The interaction of MetS diet and ischemia exacerbated the impairment of ATP production (p<0.05, 2-way ANOVA).
MetS+RVD magnifies renal injury
Renal superoxide anion production and tubular injury increased in MetS and Lean+RAS compared to Lean, and further increased in MetS+RAS (Figure 7A–B). Tubulo-interstitial fibrosis was similar between Lean and MetS, increased in Lean+RAS, and further increased in MetS+RAS (Figure 7C). The interaction of MetS diet and ischemia magnified renal fibrosis (p=0.002, 2-way ANOVA). Glomerular score was higher in Lean+RAS versus Lean and MetS, further increased in MetS+RAS, and was influenced by MetS diet, ischemia, and their interaction (Figure 3B).
Renal ischemia induces cardiac mitochondrial structural damage
Myocardial mitochondrial density, area, and perimeter did not differ among the groups, but matrix density was similarly decreased in Lean+RAS and MetS+RAS compared to their respective controls, and influenced only by ischemia (Figure S3).
Discussion
The current study shows that coexisting RAS and MetS amplify renal tubular mitochondrial damage and impair energy production in the post-stenotic kidney. The interaction of MetS diet and ischemia increased mitophagy, decreased matrix density and ATP production, and led to greater renal fibrosis. Therefore, RAS and MetS synergize and magnify their adverse effects on the post-ischemic kidney, enhancing tubular mitochondrial damage and tissue injury. Given that renal dysfunction was not magnified in MetS+RAS, these observations suggest that mitochondrial damage precedes loss of renal function, and may imply that mitoprotective strategies might be useful for patients suffering this prevalent disease.
RVD remains a prevalent condition among the elderly population, associated with accelerated renal injury, hypertension, and several cardiovascular complications. The prevalence of RVD is high in patients referred for coronary angiography36, and it often accompanies coronary artery disease, carotid artery stenosis, or peripheral artery disease37, 38. While progressive reduction of renal perfusion leads to ischemic injury, atherosclerosis and metabolic abnormalities may activate additional pathogenic factors and aggravate renal damage. In line with this notion, patients with concomitant RAS and MetS have few renal benefits following endovascular intervention4, suggesting that the interaction of MetS diet and ischemia may accentuate post-stenotic injury.
We have previously shown that RAS in swine induces tubular cell mitochondrial damage in the stenotic kidney, associated with renal hypoxia, oxidative stress, and fibrosis8, 9. We have also shown that renal tubular cells from pigs with MetS exhibit significant mitochondrial structural abnormalities and dysfunction, associated with renal oxidative stress and tubular injury10. The current study extends our previous observations and shows that coexisting MetS and RAS in fact magnify mitochondrial damage in the post-stenotic kidney in swine. Specifically, we found that TOM-20 immunoreactivity was preserved in MetS pigs, but similarly decreased in both RAS groups, suggesting that decreased mitochondrial density in this model may be attributed mainly to the ischemia. Tubular cell mitochondrial area and perimeter were higher in MetS, RAS, and MetS+RAS, but both were affected only by diet and ischemia alone, arguing against a major additional impact of MetS on renal tubular cell mitochondrial shape in RAS.
The swollen appearance of these mitochondria possibly reflects the influx of water into the organelle. The inner mitochondrial membrane is a major barrier for the movement of solutes and water between cytosol and mitochondria, and the osmotic balance between these two compartments regulates mitochondrial matrix volume39, 40. Increased mitochondrial permeability facilitate water entry into the matrix, which compresses cristae membranes, altering the topology of the inner mitochondrial membrane41. In agreement, we found that tubular cell mitochondrial matrix density decreased in MetS and Lean+RAS, and further decreased in MetS+RAS, underscoring the synergistic contribution of MetS diet and ischemia on tubular cell mitochondrial structural damage. Contrarily, MetS+RAS-induced mitochondrial damage in podocytes evidently resulted primarily from the effect of ischemia. We found that podocyte mitochondrial area, perimeter, and matrix density were lower in MetS compared to Lean, but the latter further decreased in Lean+RAS and MetS+RAS. In line with this, ACR was similarly elevated in Lean+RAS and MetS+RAS compared to Lean and MetS, and influenced only by ischemia.
It is possible that coexisting ischemia and MetS exacerbates renal oxidative stress, compromising the integrity of the inner mitochondrial membrane. We have shown in swine that both RAS8 and MetS10 trigger peroxidation and loss of the inner mitochondrial membrane phospholipid cardiolipin, increasing mitochondrial permeability and swelling. Excessive mitochondrial swelling ultimately leads to disruption of the outer membrane and release of mitochondrial matrix content into the cytosol, as we observed in tubular cell mitochondria from MetS+RAS pigs.
In addition, we found that the ischemic and metabolic components of RVD interfere with mitochondrial homeostasis, a finely balanced network of quality control pathways that regulate mitochondrial formation, shape, and degradation42. Mitochondrial biogenesis, the process of formation of new mitochondria, remained unchanged, disclosed by unaltered expression of PGC-1α, the master regulator of this pathway43. Although renal expression of the fusion marker MFN-2 was influenced by the individual effect of diet and ischemia, expression of DRP-1, which induces mitochondrial fragmentation44, was affected only by ischemia. Fusion and fission play a key role in modulating mitochondrial morphology45. MetS-induced activation of mitochondrial fusion might have contributed to increase mitochondrial area and perimeter. However, RAS- induced changes in mitochondrial dynamics were not consistent with changes in mitochondrial shape. Therefore, mitochondrial swelling in RAS groups may result from alterations in osmotic balance or inner membrane permeability rather than changes in fusion or fission.
Interestingly, we found that mitophagy, the removal of damaged mitochondria through autophagy46, was primarily affected by ischemia and amplified by its interaction with MetS diet. Although mitophagy is considered a mechanism of cellular protection, disproportional activation of this pathway may lead to mitochondrial remodeling, decreased biogenetic capacity, and cell death47–49. Parkin is an E3 ubiquitin ligase that is recruited to the outer mitochondrial membrane where selectively binds only to damaged mitochondria, inducing mitophagy50. Here we found that RAS recruited parkin to renal tubular cell mitochondria, disclosed by its co-localization with the outer membrane protein TOM-20 and increased expression of BNIP-3, a mitochondrial protein that facilitates parkin recruitment51. This correlates with previous in-vitro and in-vivo studies showing that both diet-induced obesity52 and hypoxia53 can increase BNIP-3 abundance, promoting mitophagy. Parkin has been also implicated in the transport of damaged mitochondria along microtubules to the perinuclear region54. In line with this, we found that a significant number of damaged mitochondria from Lean+RAS and MetS+RAS pigs were localized in the vicinity of the nucleus. Moreover, we identified several mitochondria from RAS groups engulfed by autophagosomes (mitophagosome), likely destined for degradation.
Mitochondria H202 production can oxidatively damage mitochondrial lipids and DNA, as well as electron transport chain proteins, impairing ATP synthesis55. In addition to increased mitochondrial oxidative stress, we found that MetS diet and ischemia impaired the activity of COX-IV, which catalyzes the final step in mitochondrial electron transfer chain56, and their interaction (diet x ischemia) decreased ATP production. Taken together, these observations suggest that coexisting RAS and MetS aggravated renal mitochondrial structural damage and dysfunction.
The mechanisms by which MetS and RAS synergistically interact to impair renal mitochondrial structure and function are multifactorial and may include generating a vicious cycle of renal hypoxia, oxidative stress, and apoptosis, among others. Renal hypoxia is a common finding in severe swine8 and human57 RAS, and is associated with lower perfusion, RBF, and GFR. Concurrent nutrient surplus typical of MetS can then magnify renal hypoxia by increasing tubular oxygen consumption10 and amplifying tubulointerstitial fibrosis7. Hypoxia directly affects mitochondria by decreasing electron-transport rate and increasing ROS generation58. Furthermore, hypoxia-induced mitochondrial injury upregulates the expression of BNIP-3, promoting mitophagy59, in line with our observations in MetS+RAS pigs.
Hyperglycemia can also alter the metabolic profile of both mesangial and tubular cells by reducing their mitochondrial respiratory function60. Likewise, cultured vascular endothelial cells exposed to hyperglycemic glucose concentrations produce enhanced levels of superoxide, which are significantly attenuated by mitoprotection61. Therefore, hyperglycemia may exacerbate obesity- and hypertension-induced mitochondrial damage. However, we found that glucose levels were similar among the groups, arguing against a major detrimental effect of hyperglycemia on mitochondrial structure and function in our model.
RAS is also accompanied by significant systemic and renal oxidative stress, which can damage several constituents of tubular cell mitochondria8, 62. We have shown in swine RAS that peroxidation and loss of cardiolipin secondary to ischemia triggers mitochondrial ROS production and oxidative stress8, 9. MetS induces renal tubular cell lipid accumulation and cardiolipin peroxidation10 likely amplifying mitochondrial injury in the post-stenotic kidney. Renal adiposity and apoptosis also interfere with mitochondrial fatty acid β-oxidation, exacerbating cellular lipid accumulation and creating a vicious cycle of lipid toxicity and mitochondrial injury63, 64.
Importantly, MetS and RAS-induced mitochondrial abnormalities and dysfunction contributed to renal oxidative stress, possibly secondary to the release of mitochondrial ROS to the cytosol. Impaired mitochondrial bioenergetics in MetS and RAS could have led to tubular injury by inducing cytoskeletal abnormalities, membrane defects, and phospholipid breakdown, as commonly observed in ATP-depleted tubular cells65. Lastly, coexisting MetS and RAS magnified renal fibrosis, but their interaction did not alter renal hemodynamics and function, suggesting that mitochondrial-independent pathways could have contributed to renal dysfunction in MetS+RAS. Interestingly, renal hemodynamics and function did not differ between Lean and MetS+RAS after adjustment by body weight. Therefore, increased body weight in MetS+RAS, which was associated with hyperfiltration, hyperperfusion, and increases in renal volume, might have counterbalanced RAS-induced loss of renal volume, RBF, and GFR.
Lastly, we found that MetS and RAS also caused mitochondrial damage in the heart. Although myocardial mitochondrial density, area, and perimeter remain unaffected, matrix density similarly decreased in both Lean+RAS and MetS+RAS, and was affected only by ischemia, suggesting that renal ischemia is associated with myocardial structural damage, which is not exacerbated by superimposition of MetS.
Limitations
Our study is limited by the use of relatively young pigs and the short duration of the disease, yet our MetS+RAS model recapitulates the synergistic interaction between the ischemic and metabolic components of human RVD. In addition, our MetS model does not permit discrimination among the effects of individual cardiovascular risk factors like obesity, hypertension, hyperlipidemia, and insulin resistance in the pathogenesis of MetS-induced renal mitochondrial damage. Additional studies are needed to identify specific factors related to ischemia or MetS influencing renal tubular mitochondrial structure and function.
Conclusion
In summary, our study shows that RAS associated with MetS aggravate renal tubular mitochondrial damage and alter mitochondrial homeostasis, blunting ATP production in the stenotic kidney. These pathological alterations were magnified by the interaction of ischemia and MetS diet, accentuating renal fibrosis. Given that renal dysfunction was not magnified in RAS associated with MetS, our observations suggest that mitochondrial damage precedes loss of renal function in experimental RVD. Further studies are needed to test the effectiveness of mitoprotective interventions to attenuate renal injury in MetS+RAS.
Supplementary Material
Acknowledgments
This work was supported by the NIH grants: DK106427, DK104273, HL123160, DK120292, and DK102325, and by the American Heart Association (18POST34030150).
Footnotes
This study has not been published and is not being considered for publication elsewhere in whole or in part in any language except as an abstract.
Conflict of Interest
None.
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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