Abstract
The present study examined whether development of renal injury in the nondiabetic obese Dahl salt-sensitive leptin receptor mutant (SSLepRmutant) strain is associated with elevations in glomerular filtration rate and renal lipid accumulation. Baseline mean arterial pressure at 6 wk of age was similar between Dahl salt-sensitive wild-type (SSWT) and SSLepRmutant rats. However, by 18 wk of age, the SSLepRmutant strain developed hypertension, while the elevation in mean arterial pressure was not as severe in SSWT rats (192 ± 4 and 149 ± 6 mmHg, respectively). At baseline, proteinuria was fourfold higher in SSLepRmutant than SSWT rats and remained elevated throughout the study. The early development of progressive proteinuria was associated with renal hyperfiltration followed by a decline in renal function over the course of study in the SSLepRmutant compared with SSWT rats. Kidneys from the SSLepRmutant strain displayed more glomerulosclerosis and glomerular lipid accumulation than SSWT rats. Glomeruli were isolated from the renal cortex of both strains at 6 and 18 wk of age, and RNA sequencing was performed to identify genes and pathways driving glomerular injury. We observed significant increases in expression of the influx lipid transporters, chemokine (C-X-C motif) ligand 16 (Cxcl16) and scavenger receptor and fatty acid translocase (Cd36), respectively, and a significant decrease in expression of the efflux lipid transporter, ATP-binding cassette subfamily A member 2 (Abca2; cholesterol efflux regulatory protein 2), in SSLepRmutant compared with SSWT rats at 6 and 18 wk of age, which were validated by RT-PCR analysis. These data suggest an association between glomerular hyperfiltration and glomerular lipid accumulation during the early development of proteinuria associated with obesity.
Keywords: glomerular filtration rate, lipid accumulation, obesity, renal hyperfiltration, SSLepRmutant strain, salt-sensitive rats
INTRODUCTION
Obesity increases the risk for diabetes and hypertension, the two primary causes of chronic kidney disease (CKD), and generally has been reported as a secondary risk factor for CKD (14). However, recent evidence suggests that the increasing rate of obesity has paralleled the incidence of CKD and is now considered an independent risk factor for CKD (5, 30, 35). Moreover, with the onset of obesity at an early age in children and adolescents, it is extremely important to understand the mechanisms that are involved during the early development of renal injury associated with obesity that lead to CKD later in life. Some of the renal histopathological abnormalities associated with obesity include glomerulosclerosis, podocyte hypertrophy and foot process effacement, and glomerular lipid accumulation, often referred to as obesity-related glomerulopathy (ORG) (9, 11, 37, 38, 68, 76). Since not all obese individuals develop glomerular disease, it is possible that obesity alone is not the primary cause of ORG, and there may be additional factors that increase susceptibility of obese patients to glomerular injury. One of the hallmark characteristics of renal injury associated with obesity is glomerular hyperfiltration (8, 23, 26). Glomerular hyperfiltration is a result of the early changes in intrarenal hemodynamic function, including increased renal blood flow and glomerular capillary pressure, in response to various stimuli such as hyperglycemia, hypertension, and obesity (21, 25, 43). Recent studies have suggested that insulin resistance due to obesity, rather than traditional risk factors, including hypertension and hyperglycemia, is the most significant cause of glomerular hyperfiltration (42, 53, 59, 75). While the mechanisms whereby glomerular hyperfiltration or elevations in glomerular filtration rate (GFR) contribute to glomerular injury remain unclear, we know that hyperfiltration induces changes in podocyte morphology, which lead to podocyte apoptosis, progressive proteinuria, and severe glomerulosclerosis.
Abnormal lipid metabolism is one of the key features of ORG that contributes to increased triglyceride and cholesterol accumulation (64, 76, 88). Various cells in the glomerulus, including mesangial cells and podocytes, are sensitive to lipid accumulation, which contributes to the development of glomerular injury associated with obesity (12, 73). Lipid accumulation during ORG is the result of increased synthesis of cholesterol and triglycerides (11, 12), increased uptake via influx transporters [fatty acid translocase (Cd36) and scavenger receptor chemokine (C-X-C motif) ligand 16 (Cxcl16)] (19, 28, 40, 51, 89), decreased metabolism, and efflux [ATP-binding cassette subfamily A members 1 and 2 (Abca1 and Abca2, respectively)] of these lipids (28, 48, 58, 74). However, the factor(s) that initiates this response in the kidney or, more specifically, in the glomerulus during ORG remains unknown. Furthermore, studies examining whether there is an association between changes in GFR and lipid accumulation during development of renal disease associated with obesity alone are limited. Recently, we reported that the obese Dahl salt-sensitive leptin receptor mutant (SSLepRmutant) strain develops glomerular injury, characterized by podocyte foot process effacement and lipid droplets and progressive proteinuria as early as 6 wk of age, independent of hyperglycemia and elevations in arterial pressure, that eventually progresses to CKD (47). However, GFR has not been measured in the SSLepRmutant strain. Therefore, in the present study, we examined whether the development and progression of renal disease in the nondiabetic obese SSLepRmutant strain are associated with temporal changes in GFR. In addition, we used RNA sequencing (RNA-Seq) analysis to identify genes and pathways driving glomerular injury. For the purpose of the present study, we focused on genes involved in lipid metabolism, including fatty acid transporters (i.e., Cxcl16, Cd36, Abca1, and Abca2), that could contribute to glomerular lipid accumulation from glomeruli isolated from the obese SSLepRmutant strain and their lean littermates, SSWT rats, during these same time points.
METHODS
General.
Eighty male SSWT and SSLepRmutant rats were used at 6, 12, or 18 wk of age. Genotyping was performed by the Molecular and Genomic Facility at the University of Mississippi Medical Center, as previously described, using tail snips collected from pups at day 12 (47). Rats were fed a 1% NaCl diet (TD58640, Harlan Laboratories, Madison, WI). Rats had free access to food and water except during the 2-h period of GFR measurement. Rat housing in the Laboratory Animal Facility at the University of Mississippi Medical Center is approved by the American Association for the Accreditation of Laboratory Animal Care, and all protocols were approved by the University of Mississippi Medical Center Institutional Animal Care and Use Committee.
Time course of changes in metabolic parameters in SSWT and SSLepRmutant rats.
Experiments were performed on 6-, 12-, or 18-wk-old SSWT and SSLepRmutant rats. At each time point, rats were weighed and placed in metabolic cages for an overnight urine collection to determine urinary total protein concentration using the Bradford method (Bio-Rad Laboratories, Hercules, CA). Blood samples were collected from the tail vein for measurement of blood glucose levels with a glucometer (Bayer HealthCare, Mishawaka, IN) and plasma insulin concentrations by ELISA (rat insulin ELISA, Mercodia, Uppsala, Sweden).
Temporal measurements of GFR in SSWT and SSLepRmutant rats.
At each time period, rats were anesthetized with isoflurane, and a catheter filled with heparinized saline for injection of FITC-sinistrin (catalog no. FTC-FS001, MediBeacon, Mannheim, Germany) was inserted into the jugular vein and exteriorized subcutaneously at the back of the neck. After a 24-h recovery period, rats were anesthetized briefly with isoflurane for assembly of the noninvasive clearance kidney device (MediBeacon) consisting of two light-emitting diodes that excite FITC-sinistrin at 480 nm, a photodiode that emits light at 531 nm, a microprocessor, and a battery. This device was attached to the back of the rat by a double-sided adhesive patch (MediBeacon) and secured with a rodent jacket to a region (~3 cm) on the back of the rat from which hair had been removed with a depilation cream. Rats were allowed to recover in separate cages for 15 min, and a baseline measurement was recorded. After baseline measurements, a bolus injection of FITC-sinistrin (5 mg/100 g body wt, prepared as 15 mg/mL in sterile isotonic saline) was administered via the jugular vein followed by a bolus injection of sterile saline. During a 2-h period after the bolus injection, excretion kinetics of FITC-sinistrin were measured transcutaneously at a sampling rate of 60 measurements/min with an excitation time of 10 ms/measurement and used to calculate the elimination half-life (t1/2) of FITC-sinistrin using a one-compartment model with MDPLab evaluation software (MediBeacon), as previously described (55, 56, 66). GFR was determined from the t1/2 of FITC-sinistrin with a validated empirically derived conversion factor, as previously described (66, 67, 90).
Measurement of mean arterial pressure in SSWT and SSLepRmutant rats.
At 2 days after conscious GFR measurements, rats were anesthetized, and a catheter was inserted into the femoral artery for the measurement of mean arterial pressure (MAP). After a 24-h recovery period, catheters were connected to pressure transducers (model MLT0699, ADInstruments, Colorado Springs, CO) coupled to a computerized data-acquisition system (PowerLab, ADInstruments), and MAP was recorded continuously for 30 min after a 30-min equilibration period. After arterial pressure measurements, a final blood sample was taken from the abdominal aorta for the measurement of plasma cholesterol and triglyceride concentrations (Cayman Chemical, Ann Arbor, MI), and kidneys were collected as previously described (47). Kidneys were weighed, cut in half, and fixed in a 10% buffered formalin solution.
Renal histopathology and oil red O staining.
Paraffin-embedded kidney sections were prepared from half of the kidneys collected from SSWT and SSLepRmutant rats at each time point. Kidney sections were cut into 3-µm sections and stained with periodic acid-Schiff (PAS) and Masson’s trichrome. Thirty glomeruli per PAS-stained section were scored in a blinded fashion to determine glomerular injury, and Masson’s trichrome-stained sections (10–15 representative fields/section) were analyzed to determine the degree of renal fibrosis, as previously described (47). Images were captured using a Nikon Eclipse 55i microscope equipped with a Nikon DS-Fil color camera (Nikon, Melville, NY). To determine renal lipid accumulation, the other half of the kidney was removed from the 10% buffered formalin solution and washed in 0.1% PBS for 5 h. The washed kidneys were placed in 30% sucrose overnight or until they sank to the bottom of the container. The kidneys were retrieved from the container, cut into 10-µm sections, and stored at −80°C overnight. On the next day, frozen sections were thawed, allowed to air dry for 20 min before fixation in 40% formalin, and washed with water. Thereafter, sections were stained in oil red O solution (EKI, Joliet, IL) for 10 min and washed with water. The washed sections were counterstained with Harris hematoxylin containing acetic acid (Stat Laboratory, McKinney, TX) for 1 min and washed again with water. Finally, sections were incubated in ammonia water to reveal the blue counterstain, washed again with water, and then mounted with aqueous mounting medium (Thermo Scientific, Waltham, MA).
Transcriptome analysis by RNA-Seq.
Glomeruli were isolated from the whole kidney using a sieving technique, as previously described (17, 83–86, 91). Total RNA was isolated using TRIzol and Ambion kits, RNA quality was checked using a bioanalyzer (Bio-Rad Experion System), and concentrations were determined using the Qubit fluorometer. A RNA quality index score of ≥7.0 was required to proceed. RNA libraries were prepared using the TruSeq Stranded Total RNA with Ribo-Zero kit, set A (catalog no. FC-122-2501, Illumina) according to the manufacturer’s instructions. Each sample was prepared using 1 µg total RNA. The resulting cDNA libraries were quantified using the Qubit system (Invitrogen) and checked for quality and size using the Experion DNA 1K chip (Bio-Rad). The fragment size generated by the library was 200–500 bp with a peak at ~250 bp. A portion of each library was diluted to 10 nM, and all samples were pooled. The concentrations were verified again via Qubit and further diluted to 4 nM. A total of 5 µL of the 4 nM pooled libraries were diluted and denatured to a final concentration of 1.6 pM. The libraries were sequenced using the NextSeq500 High Output kit (300 cycles, 100 bp paired-end reads) on the Illumina NextSeq500 platform. Sequenced reads were assessed for quality using the Illumina BaseSpace cloud computing platform, and FASTQ sequence files were used to align reads to the rat reference genome (Rat Genome Sequencing Consortium 5.0/rn5) using the RNA-Seq alignment application (using STAR aligner). Differential expression was determined using Cufflinks Assembly & DE workflow (version 2.1.0). Gene expression differences are denoted as log2 (ratio) and q > 0.05. Gene set enrichment analysis was performed using Enrichr (http://amp.pharm.mssm.edu/Enrichr/), which provides multiple tools for gene list enrichment analysis. All Supplemental Data are available at https://doi.org/10.6084/m9.figshare.11673582.v1.
Real-time PCR measurements.
Real-time PCR using SYBR green dye chemistry on the Bio-Rad real-time PCR platform was used to confirm key genes differentially expressed by RNA-Seq. RNA (the same samples used for RNA-Seq) was reverse transcribed to cDNA using the iScript cDNA synthesis kit. The gene primers were predesigned, validated primers from Bio-Rad PrimePCR assays followed by PCR using SsoFast EvaGreen supermix (Bio-Rad). Expression levels were normalized to GAPDH. Statistical analysis of real-time PCR data was performed using Bio-Rad Maestro software.
Statistical analysis.
Values are means ± SE. Statistical analysis was performed using SigmaPlot 12 software (Systat Software, San Jose, CA). The significance of difference in mean values for a single time point was determined by an unpaired t test. Temporal changes in renal and cardiovascular parameters were compared between and within strains using two-way ANOVA. P < 0.05 was considered significantly different.
RESULTS
Temporal changes in body weight and metabolic parameters.
Time-course changes in body weight and plasma concentrations of glucose, insulin, cholesterol, and triglycerides are provided in Supplemental Fig. S1. Body weight was 30% higher in 6-wk-old SSLepRmutant than SSWT rats and remained higher throughout the study (Supplemental Fig. S1A). Despite the development of obesity in the SSLepRmutant strain, plasma glucose levels remained within the normal physiological nonfasting range (133 ± 15 mg/dL) during the study (Supplemental Fig. S1B). Insulin levels were markedly increased at 6 wk of age and remained elevated over the course of the study in SSLepRmutant compared with SSWT rats (Supplemental Fig. S1C). At 6 wk of age, plasma cholesterol levels were similar between SSLepRmutant and SSWT rats (94 ± 12 and 117 ± 18 mg/dL, respectively) but significantly increased to 277 ± 51 mg/dL in SSLepRmutant rats, while they remained unchanged in SSWT rats (118 ± 5 mg/dL) at 18 wk of age (Supplemental Fig. S1D). Plasma triglyceride levels were nearly sevenfold higher in 6-wk-old SSLepRmutant rats than their SSWT littermates (268 ± 45 vs. 41 ± 11 mg/dL) and rose to 877 ± 122 mg/dL in SSLepRmutant rats and 139 ± 29 mg/dL in SSWT rats by 18 wk of age (Supplemental Fig. S1E).
Temporal changes in arterial pressure and proteinuria.
At 6 wk of age, MAP was similar between SSWT and SSLepRmutant rats (128 ± 2 and 126 ± 6 mmHg, respectively; Fig. 1A). However, by 18 wk of age, SSLepRmutant rats developed severe hypertension (192 ± 4 mmHg) and SSWT rats did not (149 ± 6 mmHg). While we observed no differences in arterial pressure at 6 wk of age, proteinuria was four times higher in SSLepRmutant than SSWT rats (111 ± 26 vs. 25 ± 5 mg/day; Fig. 1B). By 18 wk of age, SSLepRmutant rats developed progressive proteinuria compared with SSWT rats (778 ± 96 and 113 ± 10 mg/day, respectively).
Measurement of GFR via clearance of FITC-sinistrin.
Time-course changes in GFR in both strains are shown in Fig. 2. The elimination t1/2 of FITC-sinistrin was significantly shorter in 6-wk-old SSLepRmutant than SSWT rats (Fig. 2A). The elimination t1/2 of FITC-sinistrin generally was unchanged in SSWT rats throughout the course of the study. However, by 18 wk of age, the elimination t1/2 of FITC-sinistrin was markedly elevated in SSLepRmutant rats compared with baseline and age-matched SSWT rats. In correlation with the elimination t1/2, GFR normalized to body weight (mL·min−1·100 g body wt−1) was 30% higher in SSLepRmutant than SSWT rats at 6 wk of age (Fig. 2B). GFR normalized to body weight was significantly increased in both strains at 12 wk age compared with baseline values at 6 wk of age. After 12 wk of age, we observed a rapid decline in GFR in SSLepRmutant versus SSWT rats. Unnormalized GFR values (mL/min) were similar to GFR normalized to body weight (mL·min−1·100 g body wt−1) (Fig. 2C). When normalized to total kidney weight (mL·min−1·g kidney wt−1), GFR gradually declined in SSLepRmutant compared with SSWT rats (Fig. 2D).
Assessment of renal histopathology.
Representative images and corresponding analysis of renal pathology are provided in Supplemental Figs. S2 and S3 and are shown in Fig. 3. Glomerular injury increased over the course of the study in both strains, but the kidneys from SSLepRmutant rats displayed increased mesangial expansion and severe glomerulosclerosis compared with their SSWT littermates at each time point (Supplemental Fig. S2). Increased renal fibrosis was detected as early as 6 wk in SSLepRmutant compared with SSWT rats and remained elevated over the course of the study (Supplemental Fig. S3). While oil red O staining revealed small traces of lipid accumulation in the renal tubules of both strains, strong distinct punctuated lipid droplets were detected in glomeruli (Fig. 3). Moreover, lipid accumulation was markedly greater in glomeruli from SSLepRmutant than SSWT rats at 6 and 18 wk of age (Fig. 3, E–H).
Analysis of glomerular transcriptome by RNA-Seq.
RNA-Seq was performed on glomeruli isolated from SSWT and SSLepRmutant kidneys at 6 and 18 wk of age to provide an unbiased view of gene expression changes. At 6 wk of age, 1,255 genes were differentially expressed between SSWT and SSLepRmutant rats (>1.5 fold, q < 0.05): 554 genes were upregulated and 701 genes were downregulated in SSLepRmutant rats compared with SSWT rats (Supplemental Table S1). Several genes exhibited a large increase (>5-fold change) in expression in SSLepRmutant rats: 5.3-fold increase in gremlin-2 (Grem2), 6.5-fold increase in leukotriene C4 synthase (Ltc4s), and 7.5-fold increase in triggering receptor expressed on myeloid cells 2 (Trem2). Strikingly, 48 genes, many of which were associated with glomerular integrity, were downregulated more than fivefold (Supplemental Table S1). In total, upregulated genes were significantly enriched for pathways (reactome) linked to platelet activation, metabolism, and the innate immune system (Supplemental Fig. S4 and Supplemental Table S2), whereas the downregulated genes were enriched for pathways involving the extracellular matrix, nephrin interactions, and cell-to cell communication.
At 18 wk of age, 1,572 genes were differentially expressed between SSWT and SSLepRmutant rats (>1.5-fold, q < 0.05): 945 genes were upregulated and 790 genes were downregulated in SSLepRmutant rats compared with SSWT rats (Supplemental Table S3). The top two most differentially expressed genes at 18 wk of age were proline-rich transmembrane protein 2 (Prrt2; −7.8, also the top gene at 6 wk of age) and serine palmitoyltransferase small subunit B (Sptssb; 8.9). Upregulated genes were enriched for pathways (reactome) linked to the immune system, the innate immune system, and extracellular matrix organization (Supplemental Fig. S5 and Supplemental Table S4), whereas the downregulated genes were enriched for pathways involving axon guidance, neural cell adhesion molecule 1 interactions, and extracellular matrix organization. As expected, given that transcriptome analysis was performed at an early (6 wk of age) and a later (18 wk of age) time point after significant renal injury was observed, the majority of genes that were only differentially expressed were unique to either 6 or 18 wk of age. However, almost a quarter (24%) of the genes (n = 540) were differentially expressed at both time points (Supplemental Fig. S6 and Supplemental Table S5).
Genes known to be involved in the maintenance of the glomerular filtration barrier and those that participate in fatty acid metabolism were queried from the RNA-Seq data sets (Fig. 4). The data are expressed as fold changes in SSLepRmutant rats normalized to SSWT rats at 6 and 18 wk of age. When we examined genes that contribute to the maintenance of the glomerular filtration barrier, we found that most were significantly decreased in SSLepRmutant compared with SSWT rats (Supplemental Tables S1 and S3 and Fig. 4A). However, transient receptor potential cation channel subfamily C member 6 (Trpc6) was the only gene that was markedly increased in SSLepRmutant compared with SSWT rats. When we investigated the influx and efflux transporter genes, we observed significant increases in Cxcl16 and Cd36 and significant decreases in Abca1 and Abca2 in SSLepRmutant compared with lean SSWT rats at 6 and 18 wk of age (Fig. 4B). Furthermore, the largest fold changes occurred in angiopoietin-like protein 2 (Angptl2) at 6 wk of age and peroxisome proliferator-activating receptor-γ (Pparg) at 6 and 18 wk of age.
Validation of genes involved in lipid metabolism and maintenance of the glomerular filtration barrier by real-time PCR analysis.
Since we observed differences in a number genes by RNA-Seq analysis, we used real-time PCR analysis to validate a few of the genes involved in lipid metabolism and maintenance of the glomerular filtration barrier (Fig. 5). For the purposes of the present study, we focused on influx (Cd36 and Cxcl16) and efflux (Abca1 and Abca2) lipid transporters. The results from RNA-Seq and real-time PCR analyses were positively correlated (r = 0.81, P < 0.0001). At 6 wk of age, Cd36 and Cxcl16 were significantly increased in glomeruli from SSLepRmutant compared with SSWT rats (Fig. 5A). While we did not observe a significant decrease in Abca1, Abca2 was markedly reduced in SSLepRmutant compared with SSWT rats. Additionally, gene expression of the podocyte marker synaptopodin (Synpo) displayed a tendency to be decreased but did not reach statistical significance. We found similar results in these same genes at 18 wk of age (Fig. 5B). Cd36 and Cxcl16 were significantly elevated, and Abca2 was reduced, in glomeruli isolated from SSLepRmutant compared with SSWT rats. In contrast to 6 wk of age, Synpo was significantly decreased at 18 wk of age in SSLepRmutant compared with SSWT rats.
DISCUSSION
While diabetes and hypertension are the two primary causes of CKD, recent evidence suggests that obesity alone is becoming an independent risk factor for CKD (5, 30, 35). Some of the common characteristics of renal disease associated with obesity include glomerulosclerosis, podocyte injury, and glomerular lipid accumulation, collectively known as ORG (9, 11, 37, 38, 68, 76). Recently, we reported that, as early as 6 wk of age, SSLepRmutant rats develop podocyte injury and progressive proteinuria, independent of hyperglycemia and elevations in arterial pressure, that progress to CKD by 18 wk of age (47). The SSLepRmutant strain, unlike other models of obesity, can be used to study mechanisms involved in the early development of renal injury associated with obesity without the complications of hyperglycemia and hypertension. In the present study, we examined whether development of glomerular injury in the SSLepRmutant strain is associated with temporal changes in GFR and glomerular lipid accumulation. Similar to our previous report (47), rats of the SSLepRmutant strain developed dyslipidemia and severe proteinuria in the absence of hyperglycemia and elevations in arterial pressure that were associated with glomerular hyperfiltration and increased glomerular lipid accumulation compared with SSWT rats at 6 wk of age. Moreover, we observed significant increases in the expression of Cxcl16 and Cd36 (influx lipid transporters) and significant decreases in the expression of Abca1 and Abca2 (efflux lipid transporters) in SSLepRmutant compared with lean SSWT rats at 6 and 18 wk of age. These findings provide strong evidence of lipid accumulation at the glomerulus level. By 18 wk of age, kidneys from the SSLepRmutant strain displayed more glomerulosclerosis, glomerular lipid accumulation, and renal fibrosis that correlated with a decrease in GFR. These data provide evidence of an association between glomerular hyperfiltration and glomerular lipid accumulation during the early development of proteinuria in the obese SSLepRmutant strain. Further studies are needed to determine the direct impact of elevations in GFR on glomerular lipid accumulation.
One of the early characteristics of renal disease associated with obesity alone is glomerular hyperfiltration (8, 21, 25, 26, 43). In the present study, we found a 30% increase in GFR in SSLepRmutant rats compared with their SSWT littermates at 6 wk of age. Since SSLepRmutant rats do not develop hyperglycemia and their arterial pressure is similar to that of SSWT rats, the elevations in GFR may not be attributed to diabetes or hypertension. However, two factors may contribute to the early development of glomerular hyperfiltration in the obese SSLepRmutant strain. One factor is the lack of autoregulation of the renal microcirculation in the SS genetic background. We previously observed that the development of renal injury in the SS rat is associated with a lack of autoregulation of the renal microcirculation, which contributes to elevations in glomerular capillary pressure that eventually lead to glomerular injury independent of hypertension (84, 85). Similar results were detected when diabetes was induced in the SS strain with streptozotocin; these rats developed glomerular hyperfiltration without significant changes in arterial pressure (69). However, additional experiments are needed to determine if the autoregulation of the renal microcirculation is further impaired in obese SSLepRmutant rats. Moreover, even with a similar degree of impaired autoregulation, if the renal vasculature of mutant rats is more dilated, then a greater degree of arterial pressure transmission to the kidney would be expected. The other potential contributing factor is increased Na+ intake due to elevated food intake in the SSLepRmutant strain. Recently, Cowley and colleagues demonstrated that feeding SS rats a high-salt (e.g., 4% NaCl) diet decreases GFR over time (10). However, in the present study, SSLepRmutant rats were not fed an extremely high-salt diet but, rather, a 1% NaCl diet and exhibited elevations in GFR as early as 6 wk of age. Although obese SSLepRmutant rats consumed more Na+ than lean SSWT rats, this increase in Na+ intake may not be enough to raise arterial pressure. Therefore, the early development of glomerular hyperfiltration in the obese SSLepRmutant strain could more than likely be a consequence of the increase in body weight, high-salt diet, and genetic lack of autoregulation of the renal microcirculation.
Glomerular hyperfiltration or an elevation in GFR is a suggested mechanism for the early development of renal injury in several clinical conditions, including obesity, and may even be considered an early marker of renal disease. The functional changes in renal hemodynamics in response to obesity may lead to increased transmission of systemic pressure to the glomerulus, which could initiate or damage the glomerular filtration barrier, leading to proteinuria. Previous studies have demonstrated that development of obesity-related proteinuria is due, in part, to alterations in renal hemodynamics, since lowering arterial pressure and GFR attenuates proteinuria (5, 8, 57). In the present study, we observed that the early glomerular hyperfiltration was associated with progressive proteinuria in the SSLepRmutant strain that leads to the development of severe glomerulosclerosis, renal fibrosis, and CKD. In addition, we found a number of genes, including podocin (Nphs2), Synpo, and nephrin (Nphs1), that participate in the maintenance of the glomerular filtration barrier to be significantly decreased in obese SSLepRmutant compared with lean SSWT rats. Dysfunction or reduction of these genes has been shown to contribute to progressive albuminuria and renal injury (7, 52, 54, 63, 77–79, 91). The only gene that we found to be markedly increased was Trpc6; a gain in function of Trpc6 has been associated with focal segmental glomerulosclerosis (20, 29, 61, 87, 92). These data suggest that the early functional changes in renal hemodynamics in response to obesity stimulate glomerular hyperfiltration, which damages the glomerular filtration barrier and causes progressive proteinuria. Over time, this can lead to glomerulosclerosis, renal fibrosis, and, eventually, CKD.
During ORG, abnormal fatty acid metabolism stimulates increased lipid (i.e., cholesterol and triglycerides) accumulation in the kidney (4, 15, 44, 59). Animal and human studies have implied that dyslipidemia contributes to the progression of CKD by stimulating inflammation and oxidative stress. We detected dyslipidemia and markedly elevated glomerular lipid accumulation in the SSLepRmutant strain as early as 6 wk of age that was further exacerbated by 18 wk of age. Elevated triglyceride accumulation can result from increased fatty acid production, increased uptake via Cd36, or decreased fatty acid oxidation (11). Likewise, cholesterol accumulation can occur from increased synthesis and uptake via Cd36 and Cxcl16 (19, 28, 40, 51, 89) or reduced cholesterol efflux via Abca1 and Abca2 (28, 48, 58, 74). In the present study, using RNA-Seq or real-time PCR analysis, we observed increases in Cd36, Cxcl16, and ATP-binding cassette superfamily G member 2 (Abcg2) expression and significant decreases in Abca1 and Abca2 expression in glomeruli isolated from the kidneys of SSLepRmutant compared with lean SSWT rats at 6 and 18 wk of age. All five transporters have been linked to the development of renal disease (19, 28, 40, 48, 51, 58, 74, 89). Stearoyl-CoA desaturase (Scd2) and carnitine palmitoyltransferase 1A (Cpt1a) were significantly decreased in the SSLepRmutant strain, and both have been proven to be beneficial in preventing renal injury upon activation (32, 34). The largest fold change at 6 wk of age occurred in Angptl2, a proinflammatory circulating protein that has been demonstrated to play a significant role in the development of renal injury (33, 49, 50). However, Angptl2 expression was markedly decreased in SSLepRmutant compared with SSWT rats. Interestingly, Pparg was significantly increased in glomeruli from SSLepRmutant rats during the progression of renal disease, which is contradictory to previous reports demonstrating a link between podocyte injury and decreased Pparg activation (27, 70). These data suggest that changes in these genes involved in lipid metabolism may stimulate glomerular lipid accumulation and play major roles in the early development of renal injury, proteinuria, and CKD associated with ORG.
The most intriguing findings from the present study are glomerular lipid accumulation and alterations in lipid metabolism at an early age in the obese SSLepRmutant strain. However, the initiating factor(s) that causes these changes in the lipid transporters (i.e., Cxcl16, Cd36, Abca1, Abca2, Abcg2, and Abcg3) to stimulate glomerular lipid accumulation remains to be determined. Two factors could contribute to glomerular lipid accumulation: 1) hyperinsulinemia/insulin resistance and 2) glomerular hyperfiltration. Steneberg et al. (72) recently provided evidence that hyperinsulinemia directly increases the expression of Cd36 and lipid accumulation in the liver, not in the kidney, of mice fed a sucrose-enriched diet. Perhaps similar hyperinsulinemia-mediated effects occur in the kidney during the development of CKD. In obese patients with insulin resistance, such as diabetic nephropathy, efflux lipid transporters have also been implicated in the development of renal injury (28, 48, 58, 74). To our knowledge, the present study is the first to demonstrate a possible relationship between glomerular hyperfiltration and glomerular lipid accumulation during the development of renal injury in the absence of hyperglycemia and elevations in arterial pressure. In support of these findings, Li et al. (45) observed that increased GFR is associated with renal adiposity during the early stages of metabolic syndrome. However, future studies are needed to investigate the potential effects of hyperinsulinemia/insulin resistance and/or glomerular hyperfiltration on the expression and localization of these lipid transporters on cells in the glomerulus during the development of renal disease associated with obesity.
Analysis of the glomerular transcriptome RNA-Seq data showed a few pathways that were associated with the development and progression of renal injury in the SSLepRmutant strain. A number of the genes that were upregulated belong to pathways involved in the innate immune system and platelet activation. Over the last decade, the innate immune system and inflammation have been extensively examined in the development of renal injury. Fehrenbach and colleagues (18) recently reported that increases in immune cells from the innate immune system are associated with renal disease in the SS rat. While platelets play a crucial role in hemostasis, accumulating evidence demonstrates that platelets are heavily involved in the pathology of acute kidney injury (31, 36). However, the involvement of platelet activation during the development of renal injury associated with obesity is unknown. Not surprisingly, there were genes that were downregulated and linked to pathways involved in extracellular matrix and nephrin interactions, which supports the hypothesis that hyperfiltration alters the extracellular matrix and damages the filtration barrier, contributing to progressive proteinuria. In addition to pathways, we found a few genes that were markedly elevated in the SSLepRmutant strain (Grem2, Ltc4s, and Trem2). Wen et al. (82) recently reported that increased protein expression of gremlin-2 was associated with albuminuria in a mouse model of obesity and that overexpression of gremlin-2 stimulates podocyte apoptosis under hyperglycemic conditions. Ltc4s is responsible for synthesizing LTD4, which has been implicated in the reduction of GFR during acute glomerular injury (2, 3, 60) and has been observed to stimulate proteinuria by increasing glomerular capillary pressure (39). Although Trem2 has not been directly associated with renal disease, it is involved in the migration and maturation of dendritic cells (6, 24), which have been shown to contribute to renal injury (41, 62). The most differentially expressed genes, Prrt2 and Sptssb, have not been examined in the pathology of glomerular injury, but both belong to pathways that affect renal function: Prrt2 in regulation of glutamate release (13, 81) and podocyte injury and Sptssb in biosynthesis of sphingolipids (1, 16, 46, 65). Overall, the roles and contributions of these genes and pathways require further investigation in the development and progression of renal disease associated with obesity.
The main goal of the present study was to examine whether the development of renal injury in the obese SSLepRmutant strain was associated with elevations in GFR and renal lipid accumulation via alterations in influx and efflux lipid transporters. While the results support the main goal, some limitations in the study should be noted. One limitation is measurement of arterial pressure by the chronic carotid catheter method, which involves stress on the animals, rather than by telemetry. We chose not to use telemetry, because the catheter could not be placed in the femoral artery of the animals, especially the lean SSWT rats, which were too small at 6 wk of age. However, to confirm the current arterial pressure results, using the tail-cuff method, we previously reported no differences in arterial pressure between SSWT and SSLepRmutant rats at 6 wk age (47). Another major limitation of the present study was that we did not perform genetic analysis of extrarenal vascular tissue to serve as a control to determine whether the differences in gene expression were specific to the glomerulus. However, we have been using the same standard protocol to isolate glomeruli from the renal cortex of various rat strains for a number of years, and it has always yielded a very high percentage of glomeruli, rather than other sections of the nephron.
Clinical translational perspective.
Data from the present study suggest that the early development of renal disease associated with obesity in the absence of hyperglycemia and elevations in arterial pressure involves glomerular hyperfiltration. We also hypothesize that the hyperfiltration may act synergistically with dyslipidemia to stimulate glomerular injury via lipid accumulation, resulting in progressive proteinuria and renal injury that eventually leads to CKD. This process occurs as early as 6 wk of age and possibly before these animals reach puberty, which is clinically relevant. Over the past few decades, prepubertal or childhood obesity has emerged as a major health problem (22, 71, 80). Furthermore, obese children have an increased risk for development of renal injury. With prepubertal childhood obesity on the rise, there is an urgent need to understand the underlying mechanisms that contribute to future risk of CKD. The obese SSLepRmutant strain, unlike most models of obesity, offers the advantage that the early mechanisms that may be involved in the development of renal injury associated with insulin resistance and hyperinsulinemia can be studied without the complications of hyperglycemia and hypertension. In conclusion, the SSLepRmutant strain may be useful to study signaling pathways and mechanisms involved in the development of renal disease associated with prepubertal childhood obesity.
GRANTS
This work was financially supported by National Institute of Diabetes and Digestive and Kidney Diseases Grant 1-F31-DK-109571 (to K. C. McPherson), National Heart, Lung, and Blood Institute Grant HL-130456 and National Institute of General Medical Sciences Obesity, Cardiorenal, and Metabolic Diseases (COBRE) Grant P20-GM-104357 (to D. C. Cornelius), National Heart, Lung, and Blood Institute Grant HL-137673 (to M. R. Garrett), and National Institute of General Medical Sciences Grant P20-GM-104357 and National Institute of Diabetes and Digestive and Kidney Diseases Grant DK-109133 (to J. M. Williams). Work performed through the University of Mississippi Medical Center Molecular and Genomics Facility is supported, in part, by funds from the National Institute of General Medical Sciences, including Mississippi IDeA Networks for Biomedical Research Excellence Grant P20-GM-103476, COBRE Grant P20-GM-104357, and Mississippi Center of Excellence in Perinatal Research (MS-CEPR) COBRE Grant P20-GM-121334.
DISCLAIMERS
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
DISCLOSURES
No conflicts of interest, financial or otherwise, are declared by the authors.
AUTHOR CONTRIBUTIONS
K.C.M., C.A.S., D.C.C., M.R.G., and J.M.W. conceived and designed research; K.C.M., C.A.S., B.P., A.C.J., L.T., C.S., A.N., D.C.C., M.R.G., and J.M.W. performed experiments; K.C.M., C.A.S., B.P., A.C.J., D.C.C., M.R.G., and J.M.W. analyzed data; K.C.M., C.A.S., B.P., A.C.J., D.C.C., M.R.G., and J.M.W. interpreted results of experiments; K.C.M., C.A.S., B.P., A.C.J., L.T., C.S., A.N., D.C.C., M.R.G., and J.M.W. prepared figures; K.C.M., C.A.S., B.P., D.C.C., M.R.G., and J.M.W. drafted manuscript; K.C.M., C.A.S., B.P., C.S., D.C.C., M.R.G., and J.M.W. edited and revised manuscript; K.C.M., C.A.S., B.P., L.T., C.S., A.N., D.C.C., M.R.G., and J.M.W. approved final version of manuscript.
REFERENCES
- 1.Askari H, Kaneski CR, Semino-Mora C, Desai P, Ang A, Kleiner DE, Perlee LT, Quezado M, Spollen LE, Wustman BA, Schiffmann R. Cellular and tissue localization of globotriaosylceramide in Fabry disease. Virchows Arch 451: 823–834, 2007. doi: 10.1007/s00428-007-0468-6. [DOI] [PubMed] [Google Scholar]
- 2.Badr KF. Five-lipoxygenase products in glomerular immune injury. J Am Soc Nephrol 3: 907–915, 1992. [DOI] [PubMed] [Google Scholar]
- 3.Badr KF. Lipoxygenases as therapeutic targets in the acute and subacute phases of glomerular immune injury. Contrib Nephrol 118: 113–125, 1996. doi: 10.1159/000425084. [DOI] [PubMed] [Google Scholar]
- 4.Blüher M. The distinction of metabolically “healthy” from “unhealthy” obese individuals. Curr Opin Lipidol 21: 38–43, 2010. doi: 10.1097/MOL.0b013e3283346ccc. [DOI] [PubMed] [Google Scholar]
- 5.Bosma RJ, vander Heide JJ, Oosterop EJ, de Jong PE, Navis G. Body mass index is associated with altered renal hemodynamics in non-obese healthy subjects. Kidney Int 65: 259–265, 2004. doi: 10.1111/j.1523-1755.2004.00351.x. [DOI] [PubMed] [Google Scholar]
- 6.Bouchon A, Hernández-Munain C, Cella M, Colonna M. A DAP12-mediated pathway regulates expression of CC chemokine receptor 7 and maturation of human dendritic cells. J Exp Med 194: 1111–1122, 2001. doi: 10.1084/jem.194.8.1111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Boute N, Gribouval O, Roselli S, Benessy F, Lee H, Fuchshuber A, Dahan K, Gubler MC, Niaudet P, Antignac C. NPHS2, encoding the glomerular protein podocin, is mutated in autosomal recessive steroid-resistant nephrotic syndrome. Nat Genet 24: 349–354, 2000. doi: 10.1038/74166. [DOI] [PubMed] [Google Scholar]
- 8.Chagnac A, Weinstein T, Korzets A, Ramadan E, Hirsch J, Gafter U. Glomerular hemodynamics in severe obesity. Am J Physiol Renal Physiol 278: F817–F822, 2000. doi: 10.1152/ajprenal.2000.278.5.F817. [DOI] [PubMed] [Google Scholar]
- 9.Chen HM, Liu ZH, Zeng CH, Li SJ, Wang QW, Li LS. Podocyte lesions in patients with obesity-related glomerulopathy. Am J Kidney Dis 48: 772–779, 2006. doi: 10.1053/j.ajkd.2006.07.025. [DOI] [PubMed] [Google Scholar]
- 10.Cowley AW Jr, Ryan RP, Kurth T, Skelton MM, Schock-Kusch D, Gretz N. Progression of glomerular filtration rate reduction determined in conscious Dahl salt-sensitive hypertensive rats. Hypertension 62: 85–90, 2013. doi: 10.1161/HYPERTENSIONAHA.113.01194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.D’Agati VD, Chagnac A, de Vries AP, Levi M, Porrini E, Herman-Edelstein M, Praga M. Obesity-related glomerulopathy: clinical and pathologic characteristics and pathogenesis. Nat Rev Nephrol 12: 453–471, 2016. doi: 10.1038/nrneph.2016.75. [DOI] [PubMed] [Google Scholar]
- 12.de Vries AP, Ruggenenti P, Ruan XZ, Praga M, Cruzado JM, Bajema IM, D’Agati VD, Lamb HJ, Pongrac Barlovic D, Hojs R, Abbate M, Rodriquez R, Mogensen CE, Porrini E; ERA-EDTA Working Group Diabesity . Fatty kidney: emerging role of ectopic lipid in obesity-related renal disease. Lancet Diabetes Endocrinol 2: 417–426, 2014. doi: 10.1016/S2213-8587(14)70065-8. [DOI] [PubMed] [Google Scholar]
- 13.Deng A, Valdivielso JM, Munger KA, Blantz RC, Thomson SC. Vasodilatory N-methyl-d-aspartate receptors are constitutively expressed in rat kidney. J Am Soc Nephrol 13: 1381–1384, 2002. doi: 10.1097/01.ASN.0000013293.11876.4E. [DOI] [PubMed] [Google Scholar]
- 14.Eckardt KU, Coresh J, Devuyst O, Johnson RJ, Köttgen A, Levey AS, Levin A. Evolving importance of kidney disease: from subspecialty to global health burden. Lancet 382: 158–169, 2013. doi: 10.1016/S0140-6736(13)60439-0. [DOI] [PubMed] [Google Scholar]
- 15.Elsayed EF, Sarnak MJ, Tighiouart H, Griffith JL, Kurth T, Salem DN, Levey AS, Weiner DE. Waist-to-hip ratio, body mass index, and subsequent kidney disease and death. Am J Kidney Dis 52: 29–38, 2008. doi: 10.1053/j.ajkd.2008.02.363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Fall B, Scott CR, Mauer M, Shankland S, Pippin J, Jefferson JA, Wallace E, Warnock D, Najafian B. Urinary podocyte loss is increased in patients with Fabry disease and correlates with clinical severity of Fabry nephropathy. PLoS One 11: e0168346, 2016. doi: 10.1371/journal.pone.0168346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Fan F, Chen CC, Zhang J, Schreck CM, Roman EA, Williams JM, Hirata T, Sharma M, Beard DA, Savin VJ, Roman RJ. Fluorescence dilution technique for measurement of albumin reflection coefficient in isolated glomeruli. Am J Physiol Renal Physiol 309: F1049–F1059, 2015. doi: 10.1152/ajprenal.00311.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Fehrenbach DJ, Abais-Battad JM, Dasinger JH, Lund H, Mattson DL. Salt-sensitive increase in macrophages in the kidneys of Dahl SS rats. Am J Physiol Renal Physiol 317: F361–F374, 2019. doi: 10.1152/ajprenal.00096.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gai Z, Wang T, Visentin M, Kullak-Ublick GA, Fu X, Wang Z. Lipid accumulation and chronic kidney disease. Nutrients 11: 722, 2019. doi: 10.3390/nu11040722. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Gigante M, Caridi G, Montemurno E, Soccio M, d’Apolito M, Cerullo G, Aucella F, Schirinzi A, Emma F, Massella L, Messina G, De Palo T, Ranieri E, Ghiggeri GM, Gesualdo L. TRPC6 mutations in children with steroid-resistant nephrotic syndrome and atypical phenotype. Clin J Am Soc Nephrol 6: 1626–1634, 2011. doi: 10.2215/CJN.07830910. [DOI] [PubMed] [Google Scholar]
- 21.Griffin KA, Kramer H, Bidani AK. Adverse renal consequences of obesity. Am J Physiol Renal Physiol 294: F685–F696, 2008. doi: 10.1152/ajprenal.00324.2007. [DOI] [PubMed] [Google Scholar]
- 22.Hall JE, Crook ED, Jones DW, Wofford MR, Dubbert PM. Mechanisms of obesity-associated cardiovascular and renal disease. Am J Med Sci 324: 127–137, 2002. doi: 10.1097/00000441-200209000-00003. [DOI] [PubMed] [Google Scholar]
- 23.Hall JE, Henegar JR, Dwyer TM, Liu J, Da Silva AA, Kuo JJ, Tallam L. Is obesity a major cause of chronic kidney disease? Adv Ren Replace Ther 11: 41–54, 2004. doi: 10.1053/j.arrt.2003.10.007. [DOI] [PubMed] [Google Scholar]
- 24.Hall SC, Agrawal DK. Increased TREM-2 expression on the subsets of CD11c+ cells in the lungs and lymph nodes during allergic airway inflammation. Sci Rep 7: 11853, 2017. doi: 10.1038/s41598-017-12330-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Helal I, Fick-Brosnahan GM, Reed-Gitomer B, Schrier RW. Glomerular hyperfiltration: definitions, mechanisms and clinical implications. Nat Rev Nephrol 8: 293–300, 2012. doi: 10.1038/nrneph.2012.19. [DOI] [PubMed] [Google Scholar]
- 26.Henegar JR, Bigler SA, Henegar LK, Tyagi SC, Hall JE. Functional and structural changes in the kidney in the early stages of obesity. J Am Soc Nephrol 12: 1211–1217, 2001. [DOI] [PubMed] [Google Scholar]
- 27.Henique C, Bollee G, Lenoir O, Dhaun N, Camus M, Chipont A, Flosseau K, Mandet C, Yamamoto M, Karras A, Thervet E, Bruneval P, Nochy D, Mesnard L, Tharaux PL. Nuclear factor erythroid 2-related factor 2 drives podocyte-specific expression of peroxisome proliferator-activated receptor-γ essential for resistance to crescentic GN. J Am Soc Nephrol 27: 172–188, 2016. doi: 10.1681/ASN.2014111080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Herman-Edelstein M, Scherzer P, Tobar A, Levi M, Gafter U. Altered renal lipid metabolism and renal lipid accumulation in human diabetic nephropathy. J Lipid Res 55: 561–572, 2014. doi: 10.1194/jlr.P040501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Hofstra JM, Lainez S, van Kuijk WH, Schoots J, Baltissen MP, Hoefsloot LH, Knoers NV, Berden JH, Bindels RJ, van der Vlag J, Hoenderop JG, Wetzels JF, Nijenhuis T. New TRPC6 gain-of-function mutation in a non-consanguineous Dutch family with late-onset focal segmental glomerulosclerosis. Nephrol Dial Transplant 28: 1830–1838, 2013. doi: 10.1093/ndt/gfs572. [DOI] [PubMed] [Google Scholar]
- 30.Hsu CY, McCulloch CE, Iribarren C, Darbinian J, Go AS. Body mass index and risk for end-stage renal disease. Ann Intern Med 144: 21–28, 2006. doi: 10.7326/0003-4819-144-1-200601030-00006. [DOI] [PubMed] [Google Scholar]
- 31.Hu H, Batteux F, Chéreau C, Kavian N, Marut W, Gobeaux C, Borderie D, Dinh-Xuan AT, Weill B, Nicco C. Clopidogrel protects from cell apoptosis and oxidative damage in a mouse model of renal ischaemia-reperfusion injury. J Pathol 225: 265–275, 2011. doi: 10.1002/path.2916. [DOI] [PubMed] [Google Scholar]
- 32.Idrovo JP, Yang WL, Nicastro J, Coppa GF, Wang P. Stimulation of carnitine palmitoyltransferase 1 improves renal function and attenuates tissue damage after ischemia/reperfusion. J Surg Res 177: 157–164, 2012. doi: 10.1016/j.jss.2012.05.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ishii T, Furuya F, Takahashi K, Shikata M, Takamura T, Kobayashi H, Miyazaki A, Morinaga J, Terada K, Oike Y, Kanda E, Kitamura K. Angiopoietin-like protein 2 promotes the progression of diabetic kidney disease. J Clin Endocrinol Metab 104: 172–180, 2019. doi: 10.1210/jc.2017-02705. [DOI] [PubMed] [Google Scholar]
- 34.Iwai T, Kume S, Chin-Kanasaki M, Kuwagata S, Araki H, Takeda N, Sugaya T, Uzu T, Maegawa H, Araki SI. Stearoyl-CoA desaturase-1 protects cells against lipotoxicity-mediated apoptosis in proximal tubular cells. Int J Mol Sci 17: 1868, 2016. doi: 10.3390/ijms17111868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Jacobs EJ, Newton CC, Wang Y, Patel AV, McCullough ML, Campbell PT, Thun MJ, Gapstur SM. Waist circumference and all-cause mortality in a large US cohort. Arch Intern Med 170: 1293–1301, 2010. doi: 10.1001/archinternmed.2010.201. [DOI] [PubMed] [Google Scholar]
- 36.Jansen MP, Emal D, Teske GJ, Dessing MC, Florquin S, Roelofs JJ. Release of extracellular DNA influences renal ischemia reperfusion injury by platelet activation and formation of neutrophil extracellular traps. Kidney Int 91: 352–364, 2017. doi: 10.1016/j.kint.2016.08.006. [DOI] [PubMed] [Google Scholar]
- 37.Kambham N, Markowitz GS, Valeri AM, Lin J, D’Agati VD. Obesity-related glomerulopathy: an emerging epidemic. Kidney Int 59: 1498–1509, 2001. doi: 10.1046/j.1523-1755.2001.0590041498.x. [DOI] [PubMed] [Google Scholar]
- 38.Kato S, Nazneen A, Nakashima Y, Razzaque MS, Nishino T, Furusu A, Yorioka N, Taguchi T. Pathological influence of obesity on renal structural changes in chronic kidney disease. Clin Exp Nephrol 13: 332–340, 2009. doi: 10.1007/s10157-009-0169-3. [DOI] [PubMed] [Google Scholar]
- 39.Katoh T, Lianos EA, Fukunaga M, Takahashi K, Badr KF. Leukotriene D4 is a mediator of proteinuria and glomerular hemodynamic abnormalities in passive Heymann nephritis. J Clin Invest 91: 1507–1515, 1993. doi: 10.1172/JCI116356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Kennedy DJ, Chen Y, Huang W, Viterna J, Liu J, Westfall K, Tian J, Bartlett DJ, Tang WH, Xie Z, Shapiro JI, Silverstein RL. CD36 and Na/K-ATPase-α1 form a proinflammatory signaling loop in kidney. Hypertension 61: 216–224, 2013. doi: 10.1161/HYPERTENSIONAHA.112.198770. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kitamoto K, Machida Y, Uchida J, Izumi Y, Shiota M, Nakao T, Iwao H, Yukimura T, Nakatani T, Miura K. Effects of liposome clodronate on renal leukocyte populations and renal fibrosis in murine obstructive nephropathy. J Pharmacol Sci 111: 285–292, 2009. doi: 10.1254/jphs.09227FP. [DOI] [PubMed] [Google Scholar]
- 42.Kurella M, Lo JC, Chertow GM. Metabolic syndrome and the risk for chronic kidney disease among nondiabetic adults. J Am Soc Nephrol 16: 2134–2140, 2005. doi: 10.1681/ASN.2005010106. [DOI] [PubMed] [Google Scholar]
- 43.Kwakernaak AJ, Toering TJ, Navis G. Body mass index and body fat distribution as renal risk factors: a focus on the role of renal haemodynamics. Nephrol Dial Transplant 28, Suppl 4: iv42–iv49, 2013. doi: 10.1093/ndt/gft331. [DOI] [PubMed] [Google Scholar]
- 44.Kwakernaak AJ, Zelle DM, Bakker SJ, Navis G. Central body fat distribution associates with unfavorable renal hemodynamics independent of body mass index. J Am Soc Nephrol 24: 987–994, 2013. doi: 10.1681/ASN.2012050460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Li Z, Woollard JR, Wang S, Korsmo MJ, Ebrahimi B, Grande JP, Textor SC, Lerman A, Lerman LO. Increased glomerular filtration rate in early metabolic syndrome is associated with renal adiposity and microvascular proliferation. Am J Physiol Renal Physiol 301: F1078–F1087, 2011. doi: 10.1152/ajprenal.00333.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Liebau MC, Braun F, Höpker K, Weitbrecht C, Bartels V, Müller RU, Brodesser S, Saleem MA, Benzing T, Schermer B, Cybulla M, Kurschat CE. Dysregulated autophagy contributes to podocyte damage in Fabry’s disease. PLoS One 8: e63506, 2013. doi: 10.1371/journal.pone.0063506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.McPherson KC, Taylor L, Johnson AC, Didion SP, Geurts AM, Garrett MR, Williams JM. Early development of podocyte injury independently of hyperglycemia and elevations in arterial pressure in nondiabetic obese Dahl SS leptin receptor mutant rats. Am J Physiol Renal Physiol 311: F793–F804, 2016. doi: 10.1152/ajprenal.00590.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Merscher-Gomez S, Guzman J, Pedigo CE, Lehto M, Aguillon-Prada R, Mendez A, Lassenius MI, Forsblom C, Yoo T, Villarreal R, Maiguel D, Johnson K, Goldberg R, Nair V, Randolph A, Kretzler M, Nelson RG, Burke GW III, Groop PH, Fornoni A; FinnDiane Study Group . Cyclodextrin protects podocytes in diabetic kidney disease. Diabetes 62: 3817–3827, 2013. doi: 10.2337/db13-0399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Morinaga J, Kadomatsu T, Miyata K, Endo M, Terada K, Tian Z, Sugizaki T, Tanigawa H, Zhao J, Zhu S, Sato M, Araki K, Iyama K, Tomita K, Mukoyama M, Tomita K, Kitamura K, Oike Y. Angiopoietin-like protein 2 increases renal fibrosis by accelerating transforming growth factor-β signaling in chronic kidney disease. Kidney Int 89: 327–341, 2016. doi: 10.1016/j.kint.2015.12.021. [DOI] [PubMed] [Google Scholar]
- 50.Nishi H. Angiopoietin-like protein 2 and kidney fibrosis: lessons from knockout mice. Kidney Int 89: 272–274, 2016. doi: 10.1016/j.kint.2015.12.022. [DOI] [PubMed] [Google Scholar]
- 51.Nosadini R, Tonolo G. Role of oxidized low density lipoproteins and free fatty acids in the pathogenesis of glomerulopathy and tubulointerstitial lesions in type 2 diabetes. Nutr Metab Cardiovasc Dis 21: 79–85, 2011. doi: 10.1016/j.numecd.2010.10.002. [DOI] [PubMed] [Google Scholar]
- 52.Okamoto K, Tokunaga K, Doi K, Fujita T, Suzuki H, Katoh T, Watanabe T, Nishida N, Mabuchi A, Takahashi A, Kubo M, Maeda S, Nakamura Y, Noiri E. Common variation in GPC5 is associated with acquired nephrotic syndrome. Nat Genet 43: 459–463, 2011. doi: 10.1038/ng.792. [DOI] [PubMed] [Google Scholar]
- 53.Oterdoom LH, de Vries AP, Gansevoort RT, de Jong PE, Gans RO, Bakker SJ. Fasting insulin modifies the relation between age and renal function. Nephrol Dial Transplant 22: 1587–1592, 2007. doi: 10.1093/ndt/gfm037. [DOI] [PubMed] [Google Scholar]
- 54.Philippe A, Weber S, Esquivel EL, Houbron C, Hamard G, Ratelade J, Kriz W, Schaefer F, Gubler MC, Antignac C. A missense mutation in podocin leads to early and severe renal disease in mice. Kidney Int 73: 1038–1047, 2008. doi: 10.1038/ki.2008.27. [DOI] [PubMed] [Google Scholar]
- 55.Pill J, Issaeva O, Woderer S, Sadick M, Kränzlin B, Fiedler F, Klötzer HM, Krämer U, Gretz N. Pharmacological profile and toxicity of fluorescein-labelled sinistrin, a novel marker for GFR measurements. Naunyn Schmiedebergs Arch Pharmacol 373: 204–211, 2006. doi: 10.1007/s00210-006-0067-0. [DOI] [PubMed] [Google Scholar]
- 56.Pill J, Kraenzlin B, Jander J, Sattelkau T, Sadick M, Kloetzer HM, Deus C, Kraemer U, Gretz N. Fluorescein-labeled sinistrin as marker of glomerular filtration rate. Eur J Med Chem 40: 1056–1061, 2005. doi: 10.1016/j.ejmech.2005.03.020. [DOI] [PubMed] [Google Scholar]
- 57.Praga M, Morales E, Herrero JC, Pérez Campos A, Domínguez-Gil B, Alegre R, Vara J, Martínez MA. Absence of hypoalbuminemia despite massive proteinuria in focal segmental glomerulosclerosis secondary to hyperfiltration. Am J Kidney Dis 33: 52–58, 1999. doi: 10.1016/S0272-6386(99)70257-X. [DOI] [PubMed] [Google Scholar]
- 58.Proctor G, Jiang T, Iwahashi M, Wang Z, Li J, Levi M. Regulation of renal fatty acid and cholesterol metabolism, inflammation, and fibrosis in Akita and OVE26 mice with type 1 diabetes. Diabetes 55: 2502–2509, 2006. doi: 10.2337/db05-0603. [DOI] [PubMed] [Google Scholar]
- 59.Reaven GM. Banting Lecture 1988. Role of insulin resistance in human disease. Diabetes 37: 1595–1607, 1988. doi: 10.2337/diab.37.12.1595. [DOI] [PubMed] [Google Scholar]
- 60.Reinhold SW, Vitzthum H, Filbeck T, Wolf K, Lattas C, Riegger GA, Kurtz A, Krämer BK. Gene expression of 5-, 12-, and 15-lipoxygenases and leukotriene receptors along the rat nephron. Am J Physiol Renal Physiol 290: F864–F872, 2006. doi: 10.1152/ajprenal.00169.2005. [DOI] [PubMed] [Google Scholar]
- 61.Reiser J, Polu KR, Möller CC, Kenlan P, Altintas MM, Wei C, Faul C, Herbert S, Villegas I, Avila-Casado C, McGee M, Sugimoto H, Brown D, Kalluri R, Mundel P, Smith PL, Clapham DE, Pollak MR. TRPC6 is a glomerular slit diaphragm-associated channel required for normal renal function. Nat Genet 37: 739–744, 2005. doi: 10.1038/ng1592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Rogers NM, Ferenbach DA, Isenberg JS, Thomson AW, Hughes J. Dendritic cells and macrophages in the kidney: a spectrum of good and evil. Nat Rev Nephrol 10: 625–643, 2014. doi: 10.1038/nrneph.2014.170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Roselli S, Heidet L, Sich M, Henger A, Kretzler M, Gubler MC, Antignac C. Early glomerular filtration defect and severe renal disease in podocin-deficient mice. Mol Cell Biol 24: 550–560, 2004. doi: 10.1128/MCB.24.2.550-560.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Ruan XZ, Varghese Z, Moorhead JF. An update on the lipid nephrotoxicity hypothesis. Nat Rev Nephrol 5: 713–721, 2009. doi: 10.1038/nrneph.2009.184. [DOI] [PubMed] [Google Scholar]
- 65.Sanchez-Niño MD, Carpio D, Sanz AB, Ruiz-Ortega M, Mezzano S, Ortiz A. Lyso-Gb3 activates Notch1 in human podocytes. Hum Mol Genet 24: 5720–5732, 2015. doi: 10.1093/hmg/ddv291. [DOI] [PubMed] [Google Scholar]
- 66.Schock-Kusch D, Sadick M, Henninger N, Kraenzlin B, Claus G, Kloetzer HM, Weiss C, Pill J, Gretz N. Transcutaneous measurement of glomerular filtration rate using FITC-sinistrin in rats. Nephrol Dial Transplant 24: 2997–3001, 2009. doi: 10.1093/ndt/gfp225. [DOI] [PubMed] [Google Scholar]
- 67.Schock-Kusch D, Xie Q, Shulhevich Y, Hesser J, Stsepankou D, Sadick M, Koenig S, Hoecklin F, Pill J, Gretz N. Transcutaneous assessment of renal function in conscious rats with a device for measuring FITC-sinistrin disappearance curves. Kidney Int 79: 1254–1258, 2011. doi: 10.1038/ki.2011.31. [DOI] [PubMed] [Google Scholar]
- 68.Serra A, Romero R, Lopez D, Navarro M, Esteve A, Perez N, Alastrue A, Ariza A. Renal injury in the extremely obese patients with normal renal function. Kidney Int 73: 947–955, 2008. doi: 10.1038/sj.ki.5002796. [DOI] [PubMed] [Google Scholar]
- 69.Slaughter TN, Paige A, Spires D, Kojima N, Kyle PB, Garrett MR, Roman RJ, Williams JM. Characterization of the development of renal injury in type-1 diabetic Dahl salt-sensitive rats. Am J Physiol Regul Integr Comp Physiol 305: R727–R734, 2013. doi: 10.1152/ajpregu.00382.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Sonneveld R, Hoenderop JG, Isidori AM, Henique C, Dijkman HB, Berden JH, Tharaux PL, van der Vlag J, Nijenhuis T. Sildenafil prevents podocyte injury via PPAR-γ-mediated TRPC6 inhibition. J Am Soc Nephrol 28: 1491–1505, 2017. doi: 10.1681/ASN.2015080885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Srivastava T. Nondiabetic consequences of obesity on kidney. Pediatr Nephrol 21: 463–470, 2006. doi: 10.1007/s00467-006-0027-4. [DOI] [PubMed] [Google Scholar]
- 72.Steneberg P, Sykaras AG, Backlund F, Straseviciene J, Söderström I, Edlund H. Hyperinsulinemia enhances hepatic expression of the fatty acid transporter Cd36 and provokes hepatosteatosis and hepatic insulin resistance. J Biol Chem 290: 19034–19043, 2015. doi: 10.1074/jbc.M115.640292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Straub BK, Gyoengyoesi B, Koenig M, Hashani M, Pawella LM, Herpel E, Mueller W, Macher-Goeppinger S, Heid H, Schirmacher P. Adipophilin/perilipin-2 as a lipid droplet-specific marker for metabolically active cells and diseases associated with metabolic dysregulation. Histopathology 62: 617–631, 2013. doi: 10.1111/his.12038. [DOI] [PubMed] [Google Scholar]
- 74.Tang C, Kanter JE, Bornfeldt KE, Leboeuf RC, Oram JF. Diabetes reduces the cholesterol exporter ABCA1 in mouse macrophages and kidneys. J Lipid Res 51: 1719–1728, 2010. doi: 10.1194/jlr.M003525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Tomaszewski M, Charchar FJ, Maric C, McClure J, Crawford L, Grzeszczak W, Sattar N, Zukowska-Szczechowska E, Dominiczak AF. Glomerular hyperfiltration: a new marker of metabolic risk. Kidney Int 71: 816–821, 2007. doi: 10.1038/sj.ki.5002160. [DOI] [PubMed] [Google Scholar]
- 76.Verani RR. Obesity-associated focal segmental glomerulosclerosis: pathological features of the lesion and relationship with cardiomegaly and hyperlipidemia. Am J Kidney Dis 20: 629–634, 1992. doi: 10.1016/S0272-6386(12)70230-5. [DOI] [PubMed] [Google Scholar]
- 77.Vukojevic K, Raguz F, Saraga M, Filipovic N, Bocina I, Kero D, Glavina Durdov M, Martinovic V, Saraga-Babic M. Glomeruli from patients with nephrin mutations show increased number of ciliated and poorly differentiated podocytes. Acta Histochem 120: 748–756, 2018. doi: 10.1016/j.acthis.2018.08.015. [DOI] [PubMed] [Google Scholar]
- 78.Wang J, Hidaka T, Sasaki Y, Tanaka E, Takagi M, Shibata T, Kubo A, Trejo JAO, Wang L, Asanuma K, Tomino Y. Neurofilament heavy polypeptide protects against reduction in synaptopodin expression and prevents podocyte detachment. Sci Rep 8: 17157, 2018. doi: 10.1038/s41598-018-35465-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Wang XX, Levi J, Luo Y, Myakala K, Herman-Edelstein M, Qiu L, Wang D, Peng Y, Grenz A, Lucia S, Dobrinskikh E, D’Agati VD, Koepsell H, Kopp JB, Rosenberg AZ, Levi M. SGLT2 protein expression is increased in human diabetic nephropathy: SGLT2 protein inhibition decreases renal lipid accumulation, inflammation, and the development of nephropathy in diabetic mice. J Biol Chem 292: 5335–5348, 2017. doi: 10.1074/jbc.M117.779520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Wang Y, Chen X, Klag MJ, Caballero B. Epidemic of childhood obesity: implications for kidney disease. Adv Chronic Kidney Dis 13: 336–351, 2006. doi: 10.1053/j.ackd.2006.07.016. [DOI] [PubMed] [Google Scholar]
- 81.Welch WJ, Wilcox CS, Thomson SC. Nitric oxide and tubuloglomerular feedback. Semin Nephrol 19: 251–262, 1999. [PubMed] [Google Scholar]
- 82.Wen H, Kumar V, Mishra A, Song S, Aslam R, Hussain A, Wang H, Zhou X, He X, Wu G, Luo H, Lan X, Malhotra A, Singhal PC. Grem2 mediates podocyte apoptosis in high glucose milieu. Biochimie 160: 113–121, 2019. doi: 10.1016/j.biochi.2019.02.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Williams JM, Burke M, Lazar J, Jacob HJ, Roman RJ. Temporal characterization of the development of renal injury in FHH rats and FHH.1BN congenic strains. Am J Physiol Renal Physiol 300: F330–F338, 2011. doi: 10.1152/ajprenal.00261.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Williams JM, Fan F, Murphy S, Schreck C, Lazar J, Jacob HJ, Roman RJ. Role of 20-HETE in the antihypertensive effect of transfer of chromosome 5 from Brown Norway to Dahl salt-sensitive rats. Am J Physiol Regul Integr Comp Physiol 302: R1209–R1218, 2012. doi: 10.1152/ajpregu.00604.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Williams JM, Sarkis A, Hoagland KM, Fredrich K, Ryan RP, Moreno C, Lopez B, Lazar J, Fenoy FJ, Sharma M, Garrett MR, Jacob HJ, Roman RJ. Transfer of the CYP4A region of chromosome 5 from Lewis to Dahl S rats attenuates renal injury. Am J Physiol Renal Physiol 295: F1764–F1777, 2008. doi: 10.1152/ajprenal.90525.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Williams JM, Sharma M, Anjaiahh S, Falck JR, Roman RJ. Role of endogenous CYP450 metabolites of arachidonic acid in maintaining the glomerular protein permeability barrier. Am J Physiol Renal Physiol 293: F501–F505, 2007. doi: 10.1152/ajprenal.00131.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Winn MP, Conlon PJ, Lynn KL, Farrington MK, Creazzo T, Hawkins AF, Daskalakis N, Kwan SY, Ebersviller S, Burchette JL, Pericak-Vance MA, Howell DN, Vance JM, Rosenberg PB. A mutation in the TRPC6 cation channel causes familial focal segmental glomerulosclerosis. Science 308: 1801–1804, 2005. doi: 10.1126/science.1106215. [DOI] [PubMed] [Google Scholar]
- 88.Wu Y, Liu Z, Xiang Z, Zeng C, Chen Z, Ma X, Li L. Obesity-related glomerulopathy: insights from gene expression profiles of the glomeruli derived from renal biopsy samples. Endocrinology 147: 44–50, 2006. doi: 10.1210/en.2005-0641. [DOI] [PubMed] [Google Scholar]
- 89.Yang X, Okamura DM, Lu X, Chen Y, Moorhead J, Varghese Z, Ruan XZ. CD36 in chronic kidney disease: novel insights and therapeutic opportunities. Nat Rev Nephrol 13: 769–781, 2017. doi: 10.1038/nrneph.2017.126. [DOI] [PubMed] [Google Scholar]
- 90.Yu W, Sandoval RM, Molitoris BA. Rapid determination of renal filtration function using an optical ratiometric imaging approach. Am J Physiol Renal Physiol 292: F1873–F1880, 2007. doi: 10.1152/ajprenal.00218.2006. [DOI] [PubMed] [Google Scholar]
- 91.Zhang C, He X, Murphy SR, Zhang H, Wang S, Ge Y, Gao W, Williams JM, Geurts AM, Roman RJ, Fan F. Knockout of dual-specificity protein phosphatase 5 protects against hypertension-induced renal injury. J Pharmacol Exp Ther 370: 206–217, 2019. doi: 10.1124/jpet.119.258954. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Zhu B, Chen N, Wang ZH, Pan XX, Ren H, Zhang W, Wang WM. Identification and functional analysis of a novel TRPC6 mutation associated with late onset familial focal segmental glomerulosclerosis in Chinese patients. Mutat Res 664: 84–90, 2009. doi: 10.1016/j.mrfmmm.2008.11.021. [DOI] [PubMed] [Google Scholar]