Background/Aims: To investigate the renal phenotype under conditions of an activated renal ET-1 system in the status of nitric oxide deficiency, we compared kidney function and morphology in wild-type, ET-1 transgenic (ET+/+), endothelial nitric oxide synthase knockout (eNOS-/-) and ET+/+eNOS-/- mice. Methods: We assessed blood pressure, parameters of renal morphology, plasma cystatin C, urinary protein excretion, expression of genes associated with glomerular filtration barrier and tissue remodeling, and plasma metabolites using metabolomics. Results: eNOS-/- and ET+/+eNOS-/- mice developed hypertension. Osteopontin, albumin and protein excretion were increased in eNOS-/- and restored in ET+/+eNOS-/- animals. All genetically modified mice developed renal interstitial fibrosis and glomerulosclerosis. Genes involved in tissue remodeling (serpine1, TIMP1, Col1a1, CCL2) were up-regulated in eNOS-/-, but not in ET+/+eNOS-/- mice. Plasma levels of free carnitine and acylcarnitines, amino acids, diacyl phosphatidylcholines, lysophosphatidylcholines and hexoses were descreased in eNOS-/- and were in the normal range in ET+/+eNOS-/- mice. Conclusion: eNOS-/- mice developed renal dysfunction, which was partially rescued by ET-1 overexpression in eNOS-/- mice. The metabolomics results suggest that ET-1 overexpression on top of eNOS knockout is associated with a functional recovery of mitochondria (rescue effect in β-oxidation of fatty acids) and an increase in antioxidative properties (normalization of monounsaturated fatty acids levels).

Endothelin-1 (ET-1) and nitric oxide (NO) closely interact in a manner of a local network, i.e. ET-1 stimulates NO production, NO in turn inhibits ET-1 expression proportionally in different cell-types [1]. An in vivo example of interaction between ET-1 and NO production was demonstrated in transgenic mice overexpressing ET-1 (ET+/+), which have a normal blood pressure. The vasoconstrictory effects of ET-1 were antagonized by an increased production of NO, the endothelial counterpart of ET-1 in animals overexpressing ET-1 [2].

An excessive renal production of ET-1 is often observed in patients with chronic kidney disease (CKD) of diabetic and non-diabetic origin [3]. In contrast, in CKD the overall NO availability is decreased, in part due to endothelial dysfunction [4]. To date, the only known agents to block the activity of ET-1, which have been approved for clinical use, are ET receptor antagonists [5], although they have not so far been validated for a therapeutic use in CKD due to adverse effects such as water and salt retention [3,6].

We have previously generated crossbred animals of ET transgenic mice (ET+/+) and endothelial nitric oxide synthase knockout (eNOS-/-) mice to investigate the role of ET-1 overproduction in endothelial function and blood pressure in the conditions of NO deficiency [7]. In another study performed by our group‚ we demonstrated that both eNOS-/- and ET+/+eNOS-/- mice developed high blood pressure in contrast to wild-type (WT) and ET+/+ mice, which remained normotensive [8]. Interestingly, left ventricular catheterization showed that only eNOS-/- mice, but not ET+/+eNOS-/- developed diastolic dysfunction [8]. The aim of the present work was to investigate renal phenotypic consequences and mechanisms of ET/eNOS interaction using crossbred ET+/+eNOS-/- mice.

Mouse model

Human ET-1 transgenic mice (line 856) [9] and eNOS-/- mice [10] were generated as described previously. Only homozygous mice were used for breeding. We ensured the steadiness of the genotype over the generations. Crossbred mice were created by breeding female eNOS-/- mice with male ET+/+. Study groups were composed as follows: WT, ET+/+, eNOS-/-, and ET+/+eNOS-/- mice. The number of animals per group was 14. Only male mice were used in the study. All mice were sacrificed at the age of 9 months. The protocol was approved by the Committee on the Ethics of Animal Experiments of the city of Berlin, Germany.

Blood pressure

Systolic blood pressure (SBP) was measured by the tail cuff method [7] at two time points (3 and 9 months).

Histological studies

The parameters of renal morphology were measured as previously described [9,11]. Briefly, interstitial fibrosis was evaluated in Sirius Red stained kidney sections. A ratio of Sirius Red-stained area to the total area of the picture was analyzed using the program ImageJ (shareware by National Institutes of Health, Bethesda, MD, USA). The extent of glomerulosclerosis was quantified as percentage of periodic acid-Schiff positive area within the glomerulus by a semi-quantitative score system using a score of 1-4 by two investigators who were blinded to the study groups. Scores 1, 2, 3, and 4 represented mesangial matrix expansion involving 0-25%, 25-50%, 50-75%, and 75-100% of the glomerular tuft area, respectively.

Plasma and urinary analyses

Urinary concentrations of albumin, H-FABP, and osteopontin were determined in urine samples collected in a six hours time period in metabolic cages. ELISA assays were conducted to determine the levels of albumin (CellTrend GmbH kit. no. 50200, Luckenwalde, Germany), H-FABP (Hycult Biotech, kit no. HK403, Uden The Netherlands), osteopontin (R&D Systems, kit no. MOST00, Wiesbaden, Germany) according to the protocols provided by the suppliers of the assays. Optical density of the samples was measured at 450 nm using an automatic ELISA reader (Tecan Infinite M200, Tecan Group Ltd. Männedorf, Switzerland). Urinary creatinine, albumin, and protein were quantitatively determined in the samples using a Cobas Integra 400 Plus analyzer (Roche Diagnostics Deutschland GmbH, Mannheim, Germany) according to the manual of the manufacturer. Plasma cystatin C was measured using mouse/rat cystatin C Quantikine ELISA kit from R&D Systems Inc. (Minneapolis, MN, USA) according to manufacturer's guidelines with readout performed with a Tecan Infinite M200 ELISA Reader (Crailsheim, Germany).

Western blotting

Western blotting was performed as previously described [7]. Briefly, whole kidney protein extracts were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and transferred to a nitrocellulose membrane (Amersham™ Hybond™ ECL, GE Healthcare, Milwaukee, USA) in transfer buffer (184 mM Glycin, 24 mM Tris, 20% methanol) at 110 V for 2.5 hours. Membranes were blocked in 5% non-fat milk TBS-T for 1 hour at room temperature. Primary antibodies against ET-1 type A receptor (ETAR‚ sc-33536), ET-1 type B receptor (ETBR‚ sc-33538, both from Santa Cruz Biotechnology, Santa Cruz, CA, USA), eNOS (ALX-210-509), inducible NOS (iNOS‚ ALX-210-515, both from Alexis Biochemicals, San Diego, CA, USA), actin (A5060, Sigma-Aldrich, Steinheim, Germany) were used.

Relative quantification ofmRNA by RT-PCR

Total RNA was extracted from whole kidney samples using RNeasy fibrous tissue kit (Qiagen, Hilden, Germany) and checked for integrity on a Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). For reverse transcription, 1 µg of total RNA was first digested with RNase-free DNase I (Gibco, Invitrogen Corp. Carlsbad, CA, USA) for 15 minutes at room temperature and then reverse-transcribed with the use of ImProm II Reverse Transcription System (Promega Corp. Fitchburg, WI, USA) in a total reaction volume of 40 µL according to the standard protocol of the kit supplier. Real-time polymerase chain reaction was performed by ABI Prism Sequence Detection System (Applied Biosystems ABI Prism 7700 Sequence Detector). cDNA samples were amplified with a PCR mix containing Taq polymerase (qPCR MasterMix Plus, Eurogentec, Liege, Belgium) and primer sets (Table 1) with 6-FAM and TAMRA labeled probes (Sigma Genosys) in 384-well microtiter plates. cDNA samples (20 ng) were run in triplicates in reaction volumes of 20 µl (384-well microtiter plates) under standard thermocycler conditions. TaqMan probe sets were generated by using Primer3Plus (http://www.bioinformatics.nl/cgi-bin/primer3pIus/primer3pIus). Relative gene expression was calculated using the ddCt term (Applied Biosystems, User Bulletin No. 2) related to endogenous controls ribosomal protein L32 and β-actin. Real Time PCR primers were deduced from reference gene sequences of the following NCBI GenBank accession numbers (Table 1).

Targeted metabolomic measurements

Metabolites were simultaneously quantified in plasma samples using the AbsoluteIDQ™ p150 kit (BIOCRATES Life Science AG, Innsbruck, Austria). These measurements are based on FIA-MS/MS (FIA: flow injection analysis) [12,13]. The assay includes free carnitine, 40 acylcarnitines (Cx:y), 14 amino acids (13 proteinogenic + ornithine), hexoses (sum of hexoses - about 90-95% glucose), 92 glycerophospholipids (15 lysophosphatidylcholines (lysoPC) and 77 phosphatidylcholines (PC)), and 15 sphingolipids (SMx:y). The abbreviations Cx:y are used to describe the total number of carbons and double bonds of all chains, respectively [13]. Mass spectrometric (MS) analyses were done on a API 4000 system (AB Sciex Deutschland GmbH, Darmstadt, Germany) equipped with a 1200 Series HPLC (Agilent Technologies Deutschland GmbH, Böblingen, Germany) and a HTC PAL auto sampler (CTC Analytics, Zwingen, Switzerland) controlled by the Analyst software version 1.4.1 (Applied Biosystems, Foster City, CA, USA). Data evaluation for quantification of metabolite concentrations as well as quality assessment was performed with the MetIQ™ software, which is an integral part of the AbsoluteIDQ™ kit (both from Biocrates Life Sciences AG, Innsbruck, Austria).

The AbsoluteIDQ™ p150 kit has been proven to be in conformance with FDA-Guidline “Guidance for Industry - Bioanalytical Method Validation” (May 2001) [14], which implies proof of reproducibility within a given error range. The metabolite panel covered by targeted metabolomics approach has been succesfully used to evaluate mechanistic background of phenotypes observed in human [15] and mouse [16]. Metabolomics has been instrumental in analysing kidney disfunction [17,18,19].

Statistical analysis

All data are expressed as means ± SEM. Statistical analyses were performed using GraphPad Prism 5 software (La Jolla, CA, USA). For comparison of two parametrically distributed groups of data unpaired t-test with equal or unequal variance (Welch's correction) was applied. For nonparametrically distributed groups of data the Mann-Whitney U-test was used. Differences were considered statistically significant when P < 0.05.

Systolic blood pressure

SBP was significantly elevated in eNOS-/- (137.6 ± 3.6 mmHg; P < 0.001 versus WT) and in ET+/+eNOS-/- (129.1 ± 5.0 mmHg; P < 0.05 versus WT) compared to WT (111.9 ± 4.2 mmHg) and ET+/+ groups (109.7 ± 7.5 mmHg) in 9 month old mice. The aforementioned tendencies were revealed starting as early as 3 months of age (Table 2). SBP in eNOS-/- group was not significantly different from that in ET+/+eNOS-/- mice.

Renal function

Plasma cystatin C was elevated in both groups with eNOS genetic ablation (P < 0.05 versus WT), but not in ET+/+ mice (Fig. 1a). In contrast, albuminuria and proteinuria were both significantly (P < 0.01 versus WT) increased only in eNOS-/- compared to WT (15.0- and 3.1-fold increase versus WT respectively, Fig. 1b-c), while the other genetically modified groups did not show significant differences in albuminuria and proteinuria levels versus control. Interestingly, in crossbred mice both albuminuria and proteinuria levels were observed to be diminished compared to eNOS-/- (P < 0.01 versus eNOS-/-).

Fig. 1

Plasma cystatin C levels (a), urinary albumin (b) and protein (c) daily excretion. values are given as mean ± SEM. * P < 0.05, **P < 0.01.

Fig. 1

Plasma cystatin C levels (a), urinary albumin (b) and protein (c) daily excretion. values are given as mean ± SEM. * P < 0.05, **P < 0.01.

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Urine biomarkers

Urinary excretion of osteopontin was 3.4-fold increased in eNOS-/- mice versus WT (P < 0.01) and restored in crossbred mice versus eNOS-/- (P < 0.001, Fig. 2a). Urinary excretion of heart muscle-type fatty acid binding protein (H-FABP, measured in ng/24h) was 6.69 +/- 1.85 in WT; 3.36 +/- 1.64 in ET+/+; 14.99 +/- 3.91 in eNOS-/-; and 7.91 +/- 1.56 in ET+/+eNOS-/-. There were no significant differences in H-FABP urinary excretion between the genotypes (Fig. 2b).

Fig. 2

Values are given as mean ± SEM. *P < 0.05; ** P < 0.01; ***P < 0.001.

Fig. 2

Values are given as mean ± SEM. *P < 0.05; ** P < 0.01; ***P < 0.001.

Close modal

Kidney morphology

The absolute and relative kidney weight was significantly higher in ET+/+ and ET+/+eNOS-/- versus WT, whereas in the eNOS-/- group it was lower compared to all other groups (Table 3). ET+/+, eNOS-/- and ET+/+eNOS-/- mice all developed glomerulosclerosis, as assessed by increased deposits of periodic acid Schif (PAS) positive material within the glomeruli and interstitial fibrosis, as evidenced by an increased percentage of fibrotic area compared to WT (Table 3). Perivascular fibrosis, media-to-lumen ratio (Table 3), glomeruli size and number (data not shown) revealed no significant differences between the study groups.

Renal profile of ET- and NOS- associated proteins

The eNOS protein expression was increased in the ET+/+ group (P < 0.01 versus WT). ETAR, ETBR, and iNOS showed no significant differences between the study groups as shown in Table 4.

Glomerular filtration barrier- associated gene expression

Podocyte-associated genes (podocalyxin-like protein 1, nephrin and integrin alpha 3 subunit) showed only minor regulation patterns (Fig. 3a-c). In contrast, glomerular basement membrane (GBM) - associated genes were differently regulated. In ET+/+ and eNOS-/- mice a down-regulation of collagen IV gene expression was observed, whereas the gene encoding one of the laminin subunits (Lamc1) was up-regulated. Lamb2, a gene responsible for the synthesis of another laminin subunit, showed a trend (P = 0.056 versus WT) towards up-regulation in eNOS-/- mice. Crossbred animals showed only a minor regulation of GBM associated genes (Fig. 3d-f). Endothelial cells-associated genes CD34 and CD31 were significantly down-regulated in ET+/+eNOS-/- mice versus WT and eNOS-/- (Fig. 3g-h). Tissue remodeling associated genes (Serpine1, TIMP1 and CCL2) were significantly up-regulated in eNOS-/- animals compared to WT. Col1a1 gene showed a trend towards up-regulation (P = 0.077) in eNOS-/- mice compared to WT. The Ctgf gene was not regulated (Fig. 4a-e). mRNA expression levels of Serpine1, TIMP1, CCL2 and Col1a1 were improved in the ET+/+eNOS-/- mice. Interleukin 18 gene expression was up-regulated in ET+/+ mice versus all other groups (Fig. 4f). The angiotensin I-converting enzyme 2 (ACE2) gene was down-regulated in eNOS-/- animals compared to all other groups (Fig. 4g).

Fig. 3

Relative expression of podocyte- (podocalyxin-like protein 1 (a), nephrin (b), integrin alpha 3 sub-unit (c)), glomerular basement membrane- (collagen IV alpha 1 (d), laminin beta 2 (e), laminin gamma 1 (f)) and endothelial cells- associated genes (cluster of differentiation 34 (g) and cluster of differentiation 31 (h)) in whole kidney. Values are given as mean ± SEM. * P < 0.05; ** P < 0.01; *** P < 0.001.

Fig. 3

Relative expression of podocyte- (podocalyxin-like protein 1 (a), nephrin (b), integrin alpha 3 sub-unit (c)), glomerular basement membrane- (collagen IV alpha 1 (d), laminin beta 2 (e), laminin gamma 1 (f)) and endothelial cells- associated genes (cluster of differentiation 34 (g) and cluster of differentiation 31 (h)) in whole kidney. Values are given as mean ± SEM. * P < 0.05; ** P < 0.01; *** P < 0.001.

Close modal
Fig. 4

Relative expression of genes involved in tissue remodeling processes in whole kidney. Serpine1 /plasminogen activator inhibitor-1 (a), tissue inhibitor of metalloproteinase 1 (TIMP-1) (b), collagen type I alpha 1 (c), connective tissue growth factor (d), chemokine (C-C motif) ligand 2 / monocyte chemoattractant protein-1 (e), interleukin 18 (f), angiotensin I-converting enzyme 2 (ACE2) (g). Values are given as mean ± SEM. *P < 0.05; ** P < 0.01; ***P < 0.001.

Fig. 4

Relative expression of genes involved in tissue remodeling processes in whole kidney. Serpine1 /plasminogen activator inhibitor-1 (a), tissue inhibitor of metalloproteinase 1 (TIMP-1) (b), collagen type I alpha 1 (c), connective tissue growth factor (d), chemokine (C-C motif) ligand 2 / monocyte chemoattractant protein-1 (e), interleukin 18 (f), angiotensin I-converting enzyme 2 (ACE2) (g). Values are given as mean ± SEM. *P < 0.05; ** P < 0.01; ***P < 0.001.

Close modal

Plasma metabolites

Free carnitine and acyl carnitines (Fig. 5), diacyl phosphatidylcholines (PCaa), lysophosphatidylcholines (LPCs) (Fig. 6), most amino acids (Fig. 7), and hexoses (Fig. 8a) exhibited a similar pattern, in which the metabolites in eNOS-/- or transgenic ET+/+ were lower in concentration, whereas these metabolites of crossbred (ET+/+eNOS-/-) animals were comparable in concentration to those found in WT animals. We did not observe changes in the activity of mitochondrial carnitine palmitoyl transferase I in any of the transgenic models, as depicted by a stable CPT-I ratio (calculated from octadecanoylcarnitine + hexadecanoylcarnitine/carnitine free (C18+C16)/C0). The oxidative degradation of even-numbered fatty acids in mitochondria (characterized by carnitine free/acetylcarnitine (C2/C0) ratio) compared to the overall activity of ß-oxidation (measured by acetylcarnitine + propionylcarnitine/carnitine free (C2+C3)/C0) ratio) revealed the aforementioned pattern (Fig. 5b-d). Herein, we present selected molecules (ranked by statistical significance), representative of each metabolite class.

Fig. 5

Plasma levels of free carnitine (a), acetylcarnitine (b), carnitine free/acetylcarnitine ratio (c), acetylcarnitine + propionylcarnitine/carnitine free ratio (d), dodecenoyl-L-carnitines C12 and C12:1 (e and f), tiglyl-L-carnitine (g), glutaconyl-L-carnitine (h). Values are given as mean ± SEM. * P < 0.05, ** P < 0.01, *** P < 0.001.

Fig. 5

Plasma levels of free carnitine (a), acetylcarnitine (b), carnitine free/acetylcarnitine ratio (c), acetylcarnitine + propionylcarnitine/carnitine free ratio (d), dodecenoyl-L-carnitines C12 and C12:1 (e and f), tiglyl-L-carnitine (g), glutaconyl-L-carnitine (h). Values are given as mean ± SEM. * P < 0.05, ** P < 0.01, *** P < 0.001.

Close modal
Fig. 6

Plasma levels of phosphatidylcholine diacyls C30:0 (a) and C30:2 (b), mono-unsaturated glycerophosphocholines (c), lysophosphatidylcholine acyls C18:0 (d), C18:1 (e) and C18:2 (f), total lysophosphatidylcholines (g), total diacyl-containing phosphatidylcholines (h) and total acyl-alkyl- containing phosphatidylcholines (i). Values are given as mean ± SEM. * P < 0.05, ** P < 0.01.

Fig. 6

Plasma levels of phosphatidylcholine diacyls C30:0 (a) and C30:2 (b), mono-unsaturated glycerophosphocholines (c), lysophosphatidylcholine acyls C18:0 (d), C18:1 (e) and C18:2 (f), total lysophosphatidylcholines (g), total diacyl-containing phosphatidylcholines (h) and total acyl-alkyl- containing phosphatidylcholines (i). Values are given as mean ± SEM. * P < 0.05, ** P < 0.01.

Close modal
Fig. 7

Plasma levels of arginine (a), histidine (b), phenylalanine (c), leucine (d), threonine (e), valine(f), methionine (g) and tryptophan (h). Values are given as mean ± SEM. * P < 0.05, ** P < 0.01, *** P < 0.001.

Fig. 7

Plasma levels of arginine (a), histidine (b), phenylalanine (c), leucine (d), threonine (e), valine(f), methionine (g) and tryptophan (h). Values are given as mean ± SEM. * P < 0.05, ** P < 0.01, *** P < 0.001.

Close modal
Fig. 8

Plasma levels of hexoses (a) and sphingomyeline C16:0 (b). Values are given as mean ± SEM. * P < 0.05, ** P < 0.01, *** P < 0.001.

Fig. 8

Plasma levels of hexoses (a) and sphingomyeline C16:0 (b). Values are given as mean ± SEM. * P < 0.05, ** P < 0.01, *** P < 0.001.

Close modal

Desaturation of fatty acid chains in the PC(aa) or acyl carnitines abrogated the differences observed between WT, eNOS-/- and ET+/+ (Fig. 5e-h; Fig. 6a-c). LPCs, regardless of their saturation level, revealed differences between WT, eNOS-/- and ET+/+ (Fig. 6d-f).Total alkyl-alkyl phosphatidylcholines PCaa showed a rescue effect but total acyl-alkyl-phosphatidylcholines (PCae) did not (Fig. 6g-i).

We compared kidney function and morphology in wild-type mice, ET-1 transgenic (ET+/+) mice, endothelial nitric oxide synthase knockout (eNOS-/-) mice, and ET+/+eNOS-/- crossbred mice to investigate the renal phenotype under conditions of an activated renal ET-1 system in a status of NO deficiency. Our study demonstrates that genetic deficiency of eNOS leads to the development of proteinuria, which is improved by overexpression of ET-1 (Fig. 1). Analysis of genes involved in the glomerular filtration barrier (Fig. 3) indicated that the restoration of the markedly increased protein/albumin excretion in eNOS knockout mice might be due to a normalization of gene expression involved in glomerular basement integrity. Increased urinary osteopontin excretion, (Fig. 2a) as well as renal expression of genes involved in kidney fibrosis (serpine1, TIMP-1, chemokine ligand 2), and decreased antifibrotic ACE2 [20] gene expression in eNOS-/- mice (see Fig. 4) were likewise improved by ET-1 overexpression. In order to identify potential mechanisms leading to the restoration of the renal phenotype of eNOS-/- mice, we performed metabolomic analyses. These analyses indicated that ET-1 overexpression, in addition to an eNOS knockout is associated with functional recovery of mitochondria (rescue effect in β-oxidation of fatty acids) and an increase in antioxidative properties (normalization of monounsaturated fatty acids levels).

Importantly, the phenotype of the ET-1 transgenic mice did not exhibit a measurable decrease of glomerular filtration rate (GFR) at the age of 9 months, which is in line with stages (>12 months) [9]. Protein excretion was only seen in eNOS-/- mice [21,22,23], but not in ET+/+ as reported earlier [9,24,25]. ET-1 overexpression on its own does not cause proteinuria, but in cases of underlying proteinuric renal diseases, such as pediatric nephrotic syndrome or diabetic renal disease, an activated ET-system enhances protein excretion [26].

Blood pressure was normal in ET-1+/+ mice, most likely due to an activated NO system [27]. This hypothesis is in line with findings in ET+/+eNOS-/- crossbred mice, which have higher blood pressure than eNOS-/- mice [7]. However, as seen in our study, in later generations of ET+/+eNOS-/- mice, the blood pressure was similar in eNOS-/- mice and ET+/+eNOS-/- mice [8,24,25]. The reasons why the blood pressure phenotype changes slightly over the years is still unknown.

One of the reasons for a leakage of plasma proteins into the urine might be a damaged glomerular filtration barrier (GFB). GFB is composed of three layers: podocytes, glomerular basement membrane (GBM) and endothelial cells. Albumin- and proteinuria can be caused by disturbances of any GFB element [28]. In order to better understand the morphology of GFB damage, we measured expression of genes specific for each of its layers. The GBM is lined by a layer of interdigitating podocyte foot processes from the urinary-space side. Our data do not indicate that podocyte- and endothelials cell specific processes contribute to the significant reduction of the markedly increased protein/albumin excretion in eNOS-/- mice seen in ET+/+eNOS-/- mice (Fig. 3).

The GBM itself is composed of extracellular matrix proteins assembled through an interweaving of type IV collagen with laminins, nidogen, and sulfated proteoglycans [29]. Any changes in the balance of extracellular matrix proteins within GBM may lead to an increased permeability. The eNOS-/- mice were characterized by pronounced changes in expression of GBM associated genes, namely by a down-regulation of Col4α1. Lamb2 and Lamc1 are the genes responsible for synthesis of laminin-521 (α5β2γ1) trimer, one of the main components of GBM [30]. In eNOS-/- mice, the Lamc1 gene was significantly up-regulated (P < 0.01 versus WT), while Lamb2 showed a trend towards up-regulation (P = 0.056 versus WT). Similar, although less pronounced changes were revealed in ET+/+ mice, whereas in crossbreds GBM associated gene expression was similar to WT (Fig. 3d-f). Mutations in genes encoding Lamb2, Col4α3, Col4α4, and Col4α5 cause glomerular disease in humans as well as in mice [31] which is in line with our findings. Laminins together with other osteopontin binding proteins, including integrins are known to act as osteopontin receptors [32]. Although their interaction in the context of renal dysfunction is not clear yet, it is known that osteopontin is associated with tissue remodeling processes, inflammation and fibrosis [33]. An increase of osteopontin observed in eNOS-/- (Fig. 2) was consistent with an elevation of SBP (Table 1). In addition, we further analyzed renal expression of genes involved in tissue remodeling. In agreement with our assumption, increased urinary osteopontin excretion together with an up-regulation of osteopontin binding proteins Lamb2 and Lamc1 was accompanied by an up-regulation of serpine1, TIMP-1, chemokine (C-C motif) ligand 2 mRNA expression, especially pronounced in eNOS knockouts (Fig. 4). Similar to our findings, Liu et al. previously reported that decreased NO levels in the kidney aggravated renal dysfunction, damage, hypertrophy, inflammation, and fibrosis as evidenced by decreased creatinine clearance and increased serum creatinine, blood urea nitrogen and urinary protein levels, accompanied by increases in the expression of the profibrotic genes collagen I, transforming growth factor-β, and tissue inhibitors of metalloproteinases [34]. Therefore, we suggest that the proteinuric phenotype in eNOS knockout mice is caused, at least partially, by an impaired GBM composition, which is improved in crossbred animals (Fig. 3d-f).

Our current data of an improvement of the functional consequences of a systemic eNOS knockout on GFR and protein excretion fit very well with an earlier study showing that eNOS-/-, but not ET+/+eNOS-/- mice, developed cardiac dysfunction manifested in increased end diastolic pressure and time of left ventricular relaxation [8]. Cardioprotective properties of ET-1 overexpression on top of eNOS knockout were explained by reduction of cardiac oxidative stress in these animals [8]. However, these findings are in conflict with several studies employing both ETAR selective and nonselective ET antagonists [35,36,37]. For instance, Peng et al. reported that in patients with CKD plasma ET-1 levels positively correlated with left ventricular hypertrophy [35]. The opposite effects of ET-1 overproduction in two different settings might be explained by a big heterogeneity within the patient cohort (concomitant chronic diseases, age, race etc. are the factors affecting organ function independently of ET-1 production) in the clinical trial, while our preclinical study was conducted in mice lines of a known genotype and an identical age. Nakamura et al. stated that the ETAR selective antagonist T-0115 ameliorated glomerulosclerosis, the rise in SBP, and prevented left ventricular hypertrophy in rats with NG-nitro-l-arginine methyl ester (L-NAME) induced inhibition of NO synthesis [36]. The differences in the results might be explained by the fact that in our study NO deficiency in ET+/+eNOS-/- mice was a life-long feature, whereas in the study by Nakamura et al. NO production was blocked only for a given time frame. In addition, L-NAME-induced NO deficiency may not have resulted in a complete inactivation of eNOS. Moreover, L-NAME may also have blocked the other isoforms of NOS, which was not the case in our model. In the present study, we observed a reduction of urinary protein excretion by ET-1 overexpression on top of eNOS-/- genotype. This is somewhat in contradiction with earlier trials [3,6,26], which reported that both ETAR selective and nonselective ET receptor antagonists ameliorate proteinuria. However, in these studies ETAR selective antagonists were shown to have much more pronounced renoprotective effect than nonselective ones. Nevertheless, the selective ETAR antagonist atrasentan showed no effects on protein urinary excretion, SBP, or kidney morphology parameters in uremic rats with 5/6 nephrectomy [38]. The aforementioned effects of ET antagonists were investigated in CKD models such as 5/6 nephrectomy or diabetic nephropathy, however the pathophysological conditions induced in these models are different in comparison to the model used in our study, in which ET-1 overexpression was not combined with any other insult to the kidney.

The kidney is very active in carnitine metabolism and releases the metabolites into the plasma and urine [39]. The metabolic pattern observed in the ET+/+eNOS-/- animals suggests a functional recovery of mitochondria. This effect is prominent for internal mitochondrial enzymes but not for the carnitine shuttle (CPT-I, EC 2.3.1.21) [40]. Furthermore, the same rescue effect is seen in oxidation of even-numbered fatty acids and overall activity of β-oxidation of fatty acids. Treatment with ET-1 induces the redistribution of eNOS from the plasma membrane to the mitochondria [41] and therefore shall be reflected in overall mitochondrial function. Substitution of rats with L-carnitine has beneficial effects on oxidative damage in the renal cortex of hypertensive rats [42]. It results in an up-regulation of both antioxidant enzymes and eNOS [43]. Desaturation of fatty acid chains in the PC(aa) or carnitines abrogates the differences observed between WT, eNOS -/- and ET +/+, which is in agreement with the observation that saturated fatty acids (e.g. palmitic acids) activate eNOS [44]. In other studies on kidney dysfunction changes in specific lipid concentrations and the underlying mechanisms were reported. In erythrocyte membrane lipid composition monounstaturated fatty acids (MUFA) are increased in non-diabetic patients with continuous ambulatory peritoneal dialysis [45]. In addition, MUFAs are increased in the plasma of hemodialysis patients [46]. MUFAs regulate the reactive oxygen species (ROS) production via the NFκB pathway [47], whereas ROS also induce the Nrf2 antioxidative pathway [48]. Under hyperhomocysteinemia (caused by a methionine-high diet) ROS were shown to reduce NO activity [49]. Lysophosphatidylcholines (LPCs) are more sensitive to desaturation changes as they are composed of only one hydrocarbon chain instead of two present in the PCaas and PCaes. Peroxisomal metabolism of phosphatidylcholines is not affected in any of the models (neither single nor double mutants) included in our study as the levels of PC(ae)s were not affected [50].

Similarly to concentrations of carnitines and lipids, the amino acid levels are normalized in ET+/+eNOS-/- animals. This is of interest as these metabolites are biomarkers of complex diseases like diabetes type 2 and CKD. Arginine is a known precursor of NO [51] and induces oxidative stress through a modulation of NOS activity. Short-term exposure causes an increase, and long term exposure a decrease of NOS activity in human endothelial cells [52]. Metabolism of valine, isoleucine and leucine is reflected as well by isovarelylcarnitine (C5), tiglylcarnitine (C5:1) and glutaconylcarnitine (C5:1-DC) [53,54]. The C5:1 is listed within a panel of biomarkers patented for the diagnosis of kidney disease [55]. Branched chain amino acids (BCAA, leucine, isoleucine and valine) constitute 40% of all amino acids from daily nutrition intake [56]. Changes in BCAA concentrations are risk biomarkers of diabetes type 2 [57] and accumulated BCAA are linked to congenital heart diseases and heart failure [58]. Valine but not other BCAAs were reported to reflect CKD [59]. Later studies indicated that patients with CKD showed a decrease in BCAA which might as well be caused by malnutrition [60]. Metabolic exchange of BCAA between different tissues was observed to modulate BCAA metabolism in CKD [61]. BCAA can enter energy generation in tricarboxylic acid cycle (TCA) through the action of branched-chain alpha-keto acid dehydrogenase complex [62]. Branched chain amino acids in dietary supply prolong lifespan through activation of mTOR and eNOS [63]. The BCAA action via mTOR might be independent from insulin through activation of translation via elF4E [64]. eNOS was shown to support both mitochondrial biogenesis and metabolic activity [65]. The restoration effects seen in ET+/+eNOS-/- animals in our study might be due to NFκB, Nrf2, and PPARalpha upregulation via the ET-1 pathway [43,65]. Our interpretation of the processes is summarized in Fig. 9 and is based on published and our own records.

Fig. 9

Hypothesis: ET-1 overexpression on top of eNOS knockout may cause functional recovery of mitochondria in ET+/+eNOS-/- crossbred mice. ET-1 overexpression on top of eNOS knockout is associated with functional recovery of mitochondria (rescue effect in β-oxidation of fatty acids) and increase in antioxidative properties (normalization of monounsaturated fatty acids levels) possibly due to NFκB, Nrf2, and PPAR-alpha upregulation via ET-1 pathway. Pathways are discussed in the text with references therein. Key enzymes are given in orange rounded rectangles. Abbreviations: BCKDC - branched-chain alpho-keto acid dehydrogenase complex, PEMT - phosphatidyl ethanolamine methyltransferase, eNOS- endothelial nitric oxide synthase, CPTI - carnitine palmitoyltransferase I, PPARs- peroxisome proliferator activated receptor, PCae- phosphatidylcholine acylalkyl-chains, PCaa - phosphatidylcholine acylacyl-chains, TCA- tricarboxylic acid cycle, ET-1 - endothelin 1, Nrf2 - nuclear factor (erythroid-derived 2)-like 2, elF4E - eukaryotic translation initiation factor 4E, NFκB - nuclear factor kappa-light-chain-enhancer of activated B cells, mTOR - mammalian target of rapamycin, BCAA - branched chain amino acids, MUFAs - monounsaturated fatty acids, ROs - reactive oxygen species.

Fig. 9

Hypothesis: ET-1 overexpression on top of eNOS knockout may cause functional recovery of mitochondria in ET+/+eNOS-/- crossbred mice. ET-1 overexpression on top of eNOS knockout is associated with functional recovery of mitochondria (rescue effect in β-oxidation of fatty acids) and increase in antioxidative properties (normalization of monounsaturated fatty acids levels) possibly due to NFκB, Nrf2, and PPAR-alpha upregulation via ET-1 pathway. Pathways are discussed in the text with references therein. Key enzymes are given in orange rounded rectangles. Abbreviations: BCKDC - branched-chain alpho-keto acid dehydrogenase complex, PEMT - phosphatidyl ethanolamine methyltransferase, eNOS- endothelial nitric oxide synthase, CPTI - carnitine palmitoyltransferase I, PPARs- peroxisome proliferator activated receptor, PCae- phosphatidylcholine acylalkyl-chains, PCaa - phosphatidylcholine acylacyl-chains, TCA- tricarboxylic acid cycle, ET-1 - endothelin 1, Nrf2 - nuclear factor (erythroid-derived 2)-like 2, elF4E - eukaryotic translation initiation factor 4E, NFκB - nuclear factor kappa-light-chain-enhancer of activated B cells, mTOR - mammalian target of rapamycin, BCAA - branched chain amino acids, MUFAs - monounsaturated fatty acids, ROs - reactive oxygen species.

Close modal

Our data may have considerable clinical impact. NO deficiency is a condition associated with CKD and heart failure. We have demonstrated that the functional consequences of a lack of eNOS in the kidney, such as impaired GFR and development of proteinuria, are improved by overexpression of ET-1. We suggest that this might be due to a functional recovery of mitochondria (rescue effect in β-oxidation of fatty acids) and increase in antioxidative properties (normalization of monounsaturated fatty acids levels). The current study is in agreement with a previous report showing that eNOS knockout mice develop diastolic dysfunction which could be restored by ET-1 overexpression in the heart. This study furthermore suggested that cardiac ET-1 overexpression in eNOS deficiency interferes with the regulation of cardiac proteins playing a role in oxidative stress, myocyte contractility, and energy metabolism [8]. Thus, besides the fact that blockade of both the ETA and ETB receptors may lead to water and salt retention [3,5,6], our current data further challenges the idea to block the endothelin system in patients with endothelial dysfunction, as it is present in CKD due to diabetic nephropathy

This study was supported in part by a grant from the German Federal Ministry of Education and Research (BMBF) to the German Center Diabetes Research (DZD e.V.).

The authors have no financial interests relevant to the research.

1.
Slowinski T, Kalk P, Christian M, Schmager F, Relle K, Godes M, Funke-Kaiser H, Neumayer HH, Bauer C, Theuring F, Hocher B: Cell-type specific interaction of endothelin and the nitric oxide system: pattern of prepro-ET-1 expression in kidneys of L-NAME treated prepro-ET-1 promoter-lacZ-transgenic mice. J Physiol 2007;581:1173-1181.
2.
Quaschning T, Koçak S, Bauer C, Neumayer H-H, Galle J, Hocher B: Increase in nitric oxide bioavailability improves endothelial function in endothelin-1 transgenic mice. Nephrol Dial Transplant 2003;18:479-483.
3.
Kohan DE, Pollock DM: Endothelin antagonists for diabetic and non-diabetic chronic kidney disease. Br J Clin Pharmacol 2013;76:573-579.
4.
Baylis C: Arginine, arginine analogs and nitric oxide production in chronic kidney disease. Nat Clin Pract Nephrol 2006;2:209-220.
5.
Maguire JJ, Davenport AP: Endothelin receptors and their antagonists. Semin Nephrol 2015;35:125-136.
6.
Reichetzeder C, Tsuprykov O, Hocher B: Endothelin receptor antagonists in clinical research - Lessons learned from preclinical and clinical kidney studies. Life Sci 2014; DOI: 10.1016/j.lfs.2014.02.025.
7.
Quaschning T, Voss F, Relle K, Kalk P, Vignon-Zellweger N, Pfab T, Bauer C, Theilig F, Bachmann S, Kraemer-Guth A, Wanner C, Theuring F, Galle J, Hocher: Lack of endothelial nitric oxide synthase promotes endothelin-induced hypertension: lessons from endothelin-1 transgenic/endothelial nitric oxide synthase knockout mice. J Am Soc Nephrol 2007;18:730-740.
8.
Vignon-Zellweger N, Relle K, Kienlen E, Alter M, Seider P, Sharkovska J, Heiden S, Kalk P, Schwab K, Albrecht-Küpper B, Theuring F, Stasch JP, Hocher B: Endothelin-1 overexpression restores diastolic function in eNOS knockout mice. J Hypertens 2011;29:961-970.
9.
Hocher B, Thöne-Reineke C, Rohmeiss P, Schmager F, Slowinski T, Burst V, Siegmund F, Quertermous T, Bauer C, Neumayer HH, Schleuning WD, Theuring F: Endothelin-1 transgenic mice develop glomerulosclerosis, interstitial fibrosis, and renal cysts but not hypertension. J Clin Invest 1997;99:1380-1389.
10.
Huang PL, Huang Z, Mashimo H, Bloch KD, Moskowitz MA, Bevan JA, Fishman MC: Hypertension in mice lacking the gene for endothelial nitric oxide synthase. Nature 1995;377:239-242.
11.
Ott IM, Alter ML, von Websky K, Kretschmer A, Tsuprykov O, Sharkovska Y, Krause-relle K, Raila J, Henze A, Stasch JP, Hocher B.: Effects of stimulation of soluble guanylate cyclase on diabetic nephropathy in diabetic eNOS knockout mice on top of angiotensin II receptor blockade. PloS One 2012;7:e42623.
12.
Illig T, Gieger C, Zhai G, Römisch-Margl W, Wang-Sattler R, Prehn C, Altmaier E, Kastenmüller G, Kato BS, Mewes HW, Meitinger T, de Angelis MH, Kronenberg F, Soranzo N, Wichmann HE, Spector TD, Adamski J, Suhre K.: A genome-wide perspective of genetic variation in human metabolism. Nat Genet 2010;42:137-141.
13.
Römisch-Margl W, Prehn C, Bogumil R, Röhring C, Suhre K, Adamski J: Procedure for tissue sample preparation and metabolite extraction for high-throughput targeted. Metabolomics 2012;8:133-142.
14.
Guidance for Industry. Bioanalytical Method Validation. US Dep Health Hum Serv FaDA Cent Drug Eval Res CDER Cent Vet Med CVM 2001.
15.
Suhre K, Shin SY, Petersen AK, Mohney RP, Meredith D, Wägele B, Altmaier E; CARDIoGRAM, Deloukas P, Erdmann J, Grundberg E, Hammond CJ, de Angelis MH, Kastenmüller G, Köttgen A, Kronenberg F, Mangino M, Meisinger C, Meitinger T, Mewes HW, Milburn MV, Prehn C, Raffler J, Ried JS, Römisch-Margl W, Samani NJ, Small KS, Wichmann HE, Zhai G, Illig T, Spector TD, Adamski J, Soranzo N, Gieger C: Human metabolic individuality in biomedical and pharmaceutical research. Nature 2011;477:54-60.
16.
Horakova O, Medrikova D, van Schothorst EM, Bunschoten A, Flachs P, Kus V, Kuda O, Bardova K, Janovska P, Hensler M, Rossmeisl M, Wang-Sattler R, Prehn C, Adamski J, Illig T, Keijer J, Kopecky J: Preservation of metabolic flexibility in skeletal muscle by a combined use of n-3 PUFA and rosiglitazone in dietary obese mice. PloS One 2012;7:e43764.
17.
Mullen W, Saigusa D, Abe T, Adamski J, Mischak H: Proteomics and metabolomics as tools to unravel novel culprits and mechanisms of uremic toxicity: instrument or hype? Semin Nephrol 2014;34:180-190.
18.
Goek ON, Prehn C, Sekula P, Römisch-Margl W, Döring A, Gieger C, Heier M, Koenig W, Wang-Sattler R, Illig T, Suhre K, Adamski J, Köttgen A, Meisinger C: Metabolites associate with kidney function decline and incident chronic kidney disease in the general population. Nephrol Dial Transplant 2013;28:2131-2138.
19.
Goek ON, Döring A, Gieger C, Heier M, Koenig W, Prehn C, Römisch-Margl W, Wang-Sattler R, Illig T Suhre K, Sekula P, Zhai G, Adamski J, Köttgen A, Meisinger C: Serum metabolite concentrations and decreased GFR in the general population. Am J Kidney Dis 2012;60:197-206.
20.
Clarke NE, Turner AJ: Angiotensin-Converting Enzyme 2: The First Decade. Int J Hypertens 2012;2012:1-12.
21.
Nakagawa T, Sato W, Glushakova O, Heinig M, Clarke T, Campbell-Thompson M, Yuzawa Y, Atkinson MA, Johnson RJ, Croker B: Diabetic Endothelial Nitric Oxide Synthase Knockout Mice Develop Advanced Diabetic Nephropathy. J Am Soc Nephrol 2007;18:539-550.
22.
Muller V, Tain Y-L, Croker B, Baylis C: Chronic Nitric Oxide Deficiency and Progression of Kidney Disease after Renal Mass Reduction in the C57Bl6 Mouse. Am J Nephrol 2010;32:575-580.
23.
Zhao HJ, Wang S, Cheng H, Zhang MZ, Takahashi T, Fogo AB, Breyer MD, Harris RC: Endothelial nitric oxide synthase deficiency produces accelerated nephropathy in diabetic mice. J Am Soc Nephrol 2006;17:2664-2669.
24.
Vignon-Zellweger N, Rahnenführer J, Theuring F, Hocher B: Analysis of cardiac and renal endothelin receptors by in situ hybridization in mice. Clin Lab 2012;58:939-949.
25.
Vignon-Zellweger N, Relle K, Rahnenführer J, Schwab K, Hocher B, Theuring F: Endothelin-1 overexpression and endothelial nitric oxide synthase knock-out induce different pathological responses in the heart of male and female mice. Life Sci 2013; DOI: 10.1016/j.lfs.2013.12.003.
26.
Hocher B, Schwarz A, Reinbacher D, Jacobi J, Lun A, Priem F, Bauer C, Neumayer HH, Raschack M: Effects of endothelin receptor antagonists on the progression of diabetic nephropathy. Nephron 2001;87:161-169.
27.
Hocher B, Schwarz A, Slowinski T, Bachmann S, Pfeilschifter J, Neumayer HH, Bauer C: In-vivo interaction of nitric oxide and endothelin. J Hypertens 2004;22:111-119.
28.
Jarad G, Miner JH: Update on the glomerular filtration barrier. Curr Opin Nephrol Hypertens 2009;18:226-232.
29.
Suh JH, Miner JH: The glomerular basement membrane as a barrier to albumin. Nat Rev Nephrol 2013;9:470-477.
30.
Chen YM, Zhou Y, Go G, Marmerstein JT, Kikkawa Y, Miner JH: Laminin β2 gene missense mutation produces endoplasmic reticulum stress in podocytes. J Am Soc Nephrol 2013;24:1223-1233.
31.
Chen YM, Miner JH: Glomerular basement membrane and related glomerular disease. Transl Res 2012;160:291-297.
32.
Ellison JA, Velier JJ, Spera P, Jonak ZL, Wang X, Barone FC, Feuerstein GZ: Osteopontin and its integrin receptor alpha(v)beta3 are upregulated during formation of the glial scar after focal stroke. Stroke J Cereb Circ 1998;29:1698-1706; discussion 1707.
33.
Alter ML, Kretschmer A, Von Websky K, Tsuprykov O, Reichetzeder C, Simon A, Stasch JP, Hocher B: Early urinary and plasma biomarkers for experimental diabetic nephropathy. Clin Lab 2012;58:659-671.
34.
Liu Y, Bledsoe G, Hagiwara M, Shen B, Chao L, Chao J: Depletion of endogenous kallistatin exacerbates renal and cardiovascular oxidative stress, inflammation, and organ remodeling. Am J Physiol Renal Physiol 2012;303:F1230-1238.
35.
Peng T, Hu Z, Wu L, Li D, Yang X: Correlation between endothelial dysfunction and left ventricular remodeling in patients with chronic kidney disease. Kidney Blood Press Res 2014;39:420-426.
36.
Nakamura T, Kurashina T, Saito Y, Sumino H, Akuzawa N, Aizawa H, Sakamoto H, Ono Z, Nagai R: ET(A) receptor antagonist ameliorates nephrosclerosis and left ventricular hypertrophy induced in rat by prolonged inhibition of nitric oxide synthesis. Hypertens Res 1998;21:251-257.
37.
Bouriquet N, Dupont M, Herizi A, Mimran A, Casellas D: Preglomerular sudanophilia in L-NAME hypertensive rats: involvement of endothelin. Hypertension 1996;27:382-391.
38.
Ritter C, Zhang S, Finch JL, Liapis H, Suarez E, Ferder L, Delmez J, Slatopolsky E: Cardiac and renal effects of atrasentan in combination with enalapril and paricalcitol in uremic rats. Kidney Blood Press Res 2014;39:340-352.
39.
Guder WG, Wagner S: The role of the kidney in carnitine metabolism. J Clin Chem Clin Biochem 1990;28:347-350.
40.
Violante S, Ijlst L, Ruiter J, Koster J, van Lenthe H, Duran M, de Almeida IT, Wanders RJ, Houten SM, Ventura FV.: Substrate specificity of human carnitine acetyltransferase: Implications for fatty acid and branched-chain amino acid metabolism. Biochim Biophys Acta 2013;1832:773-779.
41.
Violante S, Ijlst L, Ruiter J, Koster J, van Lenthe H, Duran M, de Almeida IT, Wanders RJ, Houten SM, Ventura FV: Endothelin-1 Induces a Glycolytic Switch in Pulmonary Arterial Endothelial Cells via the Mitochondrial Translocation of Endothelial NO Synthase. Am J Respir Cell Mol Biol 2014; DOI: 10.1165/rcmb.2013-0187OC.
42.
Gómez-Amores L, Mate A, Miguel-Carrasco JL, Jiménez L, Jos A, Cameán AM, Revilla E, Santa-María C, Vázquez CM: L-carnitine attenuates oxidative stress in hypertensive rats. J Nutr Biochem 2007;18:533-540.
43.
Zambrano S, Blanca AJ, Ruiz-Armenta MV, Miguel-Carrasco JL, Revilla E, Santa-María C, Mate A, Vázquez CM: The renoprotective effect of L-carnitine in hypertensive rats is mediated by modulation of oxidative stress-related gene expression. Eur J Nutr 2013;52:1649-1659.
44.
Couloubaly S, Deloménie C, Rousseau D, Paul JL, Grynberg A, Pourci ML: Fatty acid incorporation in endothelial cells and effects on endothelial nitric oxide synthase. Eur J Clin Invest 2007;37:692-699.
45.
Lupo A, Bernich P, Fabris A, Zanni P, Trevisan MT, Ferrari S, Bassi A, Girelli D, Olivieri O, Maschio G: Cell membrane lipid composition in CAPD patients. Adv Perit Dial Conf Perit Dial 1990;6:230-232.
46.
Galli F, Varga Z, Balla J, Ferraro B, Canestrari F, Floridi A, Kakuk G, Buoncristiani U: Vitamin E, lipid profile, and peroxidation in hemodialysis patients. Kidney Int 2001;78:S148-154.
47.
Botham KM, Wheeler-Jones CPD: Postprandial lipoproteins and the molecular regulation of vascular homeostasis. Prog Lipid Res 2013;52:446-464.
48.
Zucker SN, Fink EE, Bagati A, Mannava S, Bianchi-Smiraglia A, Bogner PN, Wawrzyniak JA, Foley C, Leonova KI, Grimm MJ, Moparthy K, Ionov Y, Wang J, Liu S, Sexton S, Kandel ES, Bakin AV, Zhang Y, Kaminski N, Segal BH, Nikiforov MA: Nrf2 Amplifies Oxidative Stress via Induction of Klf9. Mol Cell 2014;53:916-928.
49.
Looft-Wilson RC, Ashley BS, Billig JE, Wolfert MR, Ambrecht LA, Bearden SE: Chronic diet-induced hyperhomocysteinemia impairs eNOS regulation in mouse mesenteric arteries. Am J Physiol Regul Integr Comp Physiol 2008;295:R59-66.
50.
Hardeman D, van den Bosch H: Topography of ether phospholipid biosynthesis. Biochim Biophys Acta 1989;1006:1-8.
51.
Andrew PJ, Mayer B: Enzymatic function of nitric oxide synthases. Cardiovasc Res 1999;43:521-531.
52.
Mohan S, Wu C-C, Shin S, Fung H-L: Continuous exposure to L-arginine induces oxidative stress and physiological tolerance in cultured human endothelial cells. Amino Acids 2012:1179-1188.
53.
Roe CR, Cederbaum SD, Roe DS, Mardach R, Galindo A, Sweetman L: Isolated isobutyryl-CoA dehydrogenase deficiency: an unrecognized defect in human valine metabolism. Mol Genet Metab 1998;65:264-271.
54.
Vockley J, Ensenauer R: Isovaleric acidemia: new aspects of genetic and phenotypic heterogeneity. Am J Med Genet C Semin Med Genet 2006;142C:95-103.
55.
Lundin U, Weinberger K: New biomarkers for assessing kidney diseases [Internet] 2012;Available from: Vol. EP 2438441 A1.
56.
Harper AE, Miller RH, Block KP: Branched-chain amino acid metabolism. Annu Rev Nutr 1984;4:409-454.
57.
Wang TJ, Larson MG, Vasan RS, Cheng S, Rhee EP, McCabe E, Lewis GD, Fox CS, Jacques PF, Fernandez C, O'Donnell CJ, Carr SA, Mootha VK, Florez JC, Souza A, Melander O, Clish CB, Gerszten RE: Metabolite profiles and the risk of developing diabetes. Nat Med 2011;17:448-453.
58.
Sun H, Lu G, Ren S, Chen J, Wang Y: Catabolism of branched-chain amino acids in heart failure: insights from genetic models. Pediatr Cardiol 2011;32:305-310.
59.
Langer K, Fröhling PT, Diederich J, Brandl M, Lindenau K, Fekl W: Plasma amino and keto acids in chronic renal failure. Contrib Nephrol 1988;65:55-59.
60.
Kumar MA, Bitla ARR, Raju KVN, Manohar SM, Kumar VS, Narasimha SRPVL: Branched chain amino acid profile in early chronic kidney disease. Saudi J Kidney Dis Transplant Off Publ Saudi Cent Organ Transplant Saudi Arab 2012;23:1202-1207.
61.
Tizianello A, Deferrari G, Garibotto G, Robaudo C, Lutman M, Passerone G, Bruzzone M: Branched-chain amino acid metabolism in chronic renal failure. Kidney Int 1983;16:S17-22.
62.
Yeaman SJ: The 2-oxo acid dehydrogenase complexes: recent advances. Biochem J 1989;257:625-632.
63.
Valerio A, D'Antona G, Nisoli E: Branched-chain amino acids, mitochondrial biogenesis, and healthspan: an evolutionary perspective. Aging 2011;3:464-478.
64.
Sans MD, Tashiro M, Vogel NL, Kimball SR, D'Alecy LG, Williams JA: Leucine activates pancreatic translational machinery in rats and mice through mTOR independently of CCK and insulin. J Nutr 2006;136:1792-1799.
65.
Sansbury BE, Cummins TD, Tang Y, Hellmann J, Holden CR, Harbeson MA, Chen Y, Patel RP, Spite M, Bhatnagar A, Hill BG: Overexpression of endothelial nitric oxide synthase prevents diet-induced obesity and regulates adipocyte phenotype. Circ Res 2012;111:1176-1189.
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