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. 2021 Dec 8;11:23587. doi: 10.1038/s41598-021-02864-1

Effects of tumor necrosis factor-α inhibition on kidney fibrosis and inflammation in a mouse model of aristolochic acid nephropathy

Shinya Taguchi 1,#, Kengo Azushima 1,✉,#, Takahiro Yamaji 1,2, Shingo Urate 1, Toru Suzuki 1, Eriko Abe 1, Shohei Tanaka 1, Shunichiro Tsukamoto 1, Daisuke Kamimura 1, Sho Kinguchi 1, Akio Yamashita 3, Hiromichi Wakui 1,✉, Kouichi Tamura 1
PMCID: PMC8654826  PMID: 34880315

Abstract

Tumor necrosis factor (TNF)-α is a potent mediator of inflammation and is involved in the pathophysiology of chronic kidney disease (CKD). However, the effects of TNF-α inhibition on the progression of kidney fibrosis have not been fully elucidated. We examined the effects of TNF-α inhibition by etanercept (ETN) on kidney inflammation and fibrosis in mice with aristolochic acid (AA) nephropathy as a model of kidney fibrosis. C57BL/6 J mice were administered AA for 4 weeks, followed by a 4-week remodeling period. The mice exhibited kidney fibrosis, functional decline, and albuminuria concomitant with increases in renal mRNA expression of inflammation- and fibrosis-related genes. The 8-week ETN treatment partially but significantly attenuated kidney fibrosis and ameliorated albuminuria without affecting kidney function. These findings were accompanied by significant suppression of interleukin (IL)-1β, IL-6, and collagen types I and III mRNA expression. Moreover, ETN tended to reduce the AA-induced increase in interstitial TUNEL-positive cells with a significant reduction in Bax mRNA expression. Renal phosphorylated p38 MAPK was significantly upregulated by AA but was normalized by ETN. These findings indicate a substantial role for the TNF-α pathway in the pathogenesis of kidney fibrosis and suggest that TNF-α inhibition could become an adjunct therapeutic strategy for CKD with fibrosis.

Subject terms: Chronic kidney disease, Pharmacology

Introduction

Chronic kidney disease (CKD) is increasing worldwide1. Because the risk for cardiovascular events increases as CKD progresses2, preventing progression is essential for improving the disease prognosis. Kidney fibrosis, the final common pathway in CKD, is characterized by the replacement of functional renal tissue with extracellular matrix3, and provides a greater contribution to the risk for end-stage renal disease than glomerulosclerosis, which is another typical pathology of advanced CKD4. Kidney fibrosis is initiated by various tubular cell injuries, including ischemia, proteinuria, and exposure to toxic substances5–8. Injured tubular cells show cell cycle arrest, de-differentiation, senescence, and increased production of proinflammatory and profibrotic factors, resulting in activation and proliferation of myofibroblast and matrix secretion5,8. Several factors that contribute to the development of kidney fibrosis have been identified, however, they have not yet been translated into therapeutic agents.

The transforming growth factor (TGF)-β pathway is a master regulator of kidney fibrosis9,10, but inflammation also plays an important role in its progression3,11,12. Tumor necrosis factor (TNF)-α is a potent mediator of the inflammatory response produced by various cells, including macrophages, mesangial cells, and tubular epithelial cells13. The main pathways activated by TNF-α are centered on caspase, nuclear factor-κB (NF-κB), and mitogen-activated protein kinase (MAPK). The NF-κB and MAPK signaling pathways induce secondary responses by increasing the expression levels of several proinflammatory cytokines, further activating TNF-α14. High serum and renal levels of TNF-α have been reported in human CKD and experimental kidney disease, including unilateral ureteral obstruction (UUO), ischemia–reperfusion injury (IRI), and cisplatin-induced nephropathy models13,15–17. Furthermore, high serum levels of TNF-α are positively correlated with the severity of kidney injury15. Pharmacological and genetic inhibition of TNF-α ameliorates kidney injury in diabetic nephropathy and IRI models in which inflammation plays a critical role in the pathogenesis18–20. On the other hand, to elucidate the pathogenesis of the TNF-α pathway in the development of kidney fibrosis, several previous studies have employed the UUO model which is the most widely used mouse model of kidney fibrosis. In these studies, TNF-α inhibition using the pegylated form of soluble TNF receptor type 1 or genetic ablation of TNF receptors successfully had an anti-fibrotic effect against kidney fibrosis induced by the UUO model, indicating that the TNF-α pathway is a promising therapeutic target for kidney fibrosis21–25. However, the UUO model has potential limitations, such as the inability to assess changes in kidney function and the rapid progression to kidney fibrosis caused by hydronephrosis, which differs from the process of kidney fibrosis typically observed in human CKD26.

In this study, we employed aristolochic acid (AA)-induced nephropathy (AAN) as another model of kidney fibrosis to corroborate the findings reported for the UUO model. AAN is caused by direct cytotoxicity to renal tubular cells and is characterized by progressive tubular atrophy accompanied by chronic interstitial inflammation and fibrosis27–33. To investigate whether TNF-α inhibition prevents the development of kidney fibrosis, and to elucidate the underlying molecular mechanisms, we evaluated the effects of etanercept (ETN), which is a fusion protein competitively acting as a "TNF-α decoy receptor" to inhibit the binding of TNF-α to its cell surface receptor34, on kidney functional decline, inflammation, and fibrosis in a murine model of AAN.

Results

Etanercept does not affect body weight, tissue weight, systolic blood pressure, or heart rate

The changes in body weight (BW), tissue weight, systolic blood pressure (BP), and heart rate (HR) are shown in Fig. 1b-d. At the start of the experimental period, there were no significant differences in BW, systolic BP, or HR among control, AA and AA + ETN groups. BW in the AA and AA + ETN groups decreased during the 4 weeks of AA administration and increased after AA discontinuation (Fig. 1b). At the end of the experimental period, BW was significantly lower in the AA and AA + ETN groups than in the control group (P < 0.001 and P < 0.001, respectively). There were no significant differences in heart to BW ratio among the three groups (Fig. 1c), but the kidney to BW ratio was significantly decreased in the AA and AA + ETN groups compared to the control group (both P < 0.001). There were no significant differences in BP and HR among the three groups (Fig. 1d-e).

Figure 1.

Figure 1

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Effect of etanercept on body weight, tissue weight, systolic blood pressure and heart rate. (a) Experimental protocol. Control group received DMSO i.p. injection twice per week for 4 weeks and normal saline s.c. injection twice per week for 8 weeks. AA group received AA (3 mg/kg) i.p. injection twice per week for 4 weeks and normal saline s.c. injection twice per week for 8 weeks. AA + ETN group received AA (3 mg/kg) i.p. injection twice per week for 4 weeks and ETN (5 mg/kg) s.c. injection twice per week for 8 weeks. Body weight was measured twice per week for 8 weeks. Blood pressure and heart rate were measured at 0, 4, and 8 weeks after the start of the experiment. (b) Changes in body weight. (c) Heart and kidney weight to body weight ratio. (d) Changes in systolic blood pressure. (e) Changes in heart rate. Values are means ± SEM, n = 8. *** P < 0.001. AA, aristolochic acid; DMSO, dimethyl sulfoxide; ETN, etanercept; BP, blood pressure; HR, heart rate; Ctrl, control.

Etanercept does not affect plasma creatinine, blood urea nitrogen, or creatinine clearance but reduces albuminuria

Parameters of kidney function are shown in Fig. 2a. Plasma creatinine (Cr) and blood urea nitrogen (BUN) levels were significantly increased in the AA and AA + ETN groups compared to the control group (Cr, P < 0.001 and P < 0.001; BUN, P < 0.001 and P < 0.001, respectively). In addition, creatinine clearance levels were significantly decreased in the AA and AA + ETN groups compared to the control group (both P < 0.001). There were no differences between the AA and AA + ETN groups in these parameters. Urinary albumin excretion in the AA and AA + ETN groups was significantly increased compared to the control group (both P < 0.001); however, urinary albumin excretion in the AA + ETN group was significantly decreased compared to the AA group (P = 0.047). In the pathological evaluation, the glomerular area in the AA group was significantly decreased, and that in the AA + ETN group tended to be decreased compared to the control group (P = 0.001 and P = 0.095, respectively) (Fig. 2b).

Figure 2.

Figure 2

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Effect of etanercept on renal function and pathological changes. (a) Kidney function as determined by plasma creatinine, blood urea nitrogen, creatinine clearance, and urine albumin (n = 7–8). (b) Representative images of kidneys stained with PAS (upper panel, original magnification, × 200, bar, 50 μm; lower panel, original magnification, × 400, bar, 20 μm), and quantitative analysis of glomerular area (n = 6–8). Values are means ± SEM. * P < 0.05, ** P < 0.01, *** P < 0.001. Ctrl, control; AA, aristolochic acid; ETN, etanercept; PAS, periodic acid Schiff.

Etanercept partially reduces kidney fibrosis without affecting TGF-β expression

Renal mRNA expression levels of type I and III collagen, major components of the extracellular matrix in the kidneys, were significantly increased in the AA and AA + ETN groups compared to the control group (both P < 0.001) (Fig. 3a). However, the increased expression of type I and III collagen was partially but significantly attenuated by ETN (P = 0.011 and P = 0.012, respectively). Renal mRNA expression of TGF-β1, a pivotal profibrotic cytokine9, was significantly and similarly increased in the AA and AA + ETN groups compared to the control group (P < 0.001 and P < 0.001, respectively). In the pathological evaluation, AA administration caused severe kidney fibrosis, indicated by an increased area of picrosirius red (PSR) staining; however, ETN partially but significantly reduced kidney fibrosis (Fig. 3b). The quantitative assessment showed a significant decrease in the area of kidney fibrosis in the AA + ETN group compared to the AA group (P = 0.030). In a preliminary experiment in which we administered ETN at a lower dose (1 mg/kg, twice per week), the expression of type I and III collagen and pathological kidney fibrosis were comparable between the AA and AA + ETN groups (see Supplementary Fig. S1 online).

Figure 3.

Figure 3

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Effect of etanercept on kidney fibrosis. (a) Relative renal mRNA expression of Col1a1, Col3a1, and TGF-β (n = 7–8). (b) Representative images of kidneys stained with picrosirius red (upper panel, original magnification, × 40, bar, 200 μm; lower panel, original magnification, × 200, bar, 50 μm), and quantitative analysis of kidney fibrotic area (n = 7–8). Values are means ± SEM. * P < 0.05, *** P < 0.001. Ctrl, control; AA, aristolochic acid; ETN, etanercept; Col, collagen; TGF, transforming growth factor.

Etanercept reduces proinflammatory cytokine expression and phosphorylated p38-MAPK

To determine how etanercept suppressed kidney fibrosis induced by AA, we examined the mRNA expression of genes involved in inflammation (Fig. 4a-b). AA administration elicited remarkable increases in renal TNF-α, interleukin (IL)-6, and IL-1β expression (all P < 0.001). Although there were no significant differences in renal TNF-α expression between the AA and AA + ETN groups, renal IL-6 and IL-1β expression was significantly decreased in the AA + ETN group compared to the AA group (P = 0.026 and P = 0.016, respectively) (Fig. 4a). Regarding macrophage infiltration, renal MCP-1, F4/80, and CD68 expression were markedly and similarly increased in the AA and AA + ETN groups (both P < 0.001). Immunohistostaining of F4/80 revealed obvious renal interstitial macrophage infiltration in the AA and AA + ETN groups (Fig. 4c). Because MAPK pathways are downstream of the TNF-α pathway and are involved in the pathogenesis of kidney fibrosis 14,35, we examined p38 MAPK protein levels in the kidneys. The phosphorylated p38 MAPK to p38 MAPK ratio was significantly elevated in the AA group compared to the control group (P = 0.011) but was normalized by ETN (P = 0.034) (Fig. 4d).

Figure 4.

Figure 4

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Effect of etanercept on renal inflammation and phosphorylation of p38 MAPK. (a) Relative renal mRNA expression of TNF-α, IL-6, and IL-1β (n = 7–8). (b) Relative gene expressions of MCP-1, F4/80, and CD68 (n = 7–8). (c) Representative images of kidneys stained with F4/80 (original magnification, × 400, bar, 50 μm). (d) Representative western blots and quantitative analysis of phosphorylated and total p38 MAPK in the kidney (n = 8). Values are means ± SEM. * P < 0.05, ** P < 0.01, *** P < 0.001. Ctrl, control; AA, aristolochic acid; ETN, etanercept.

Etanercept tends to suppress renal interstitial cell apoptosis, and reduces Bax expression

To investigate the mechanism of the anti-fibrotic effect of TNF-α inhibition, we performed a TdT-mediated dUTP nick-end labeling (TUNEL) assay and evaluated apoptosis-related factors. Although the number of TUNEL-positive cells was significantly increased in the AA and AA + ETN groups compared to the control group (both P < 0.001) (Fig. 5a-b), ETN tended to reduce the number of TUNEL-positive cells but this trend did not reach statistical significance (P = 0.080). Renal expression of Bax, a pro-apoptotic factor, was significantly increased in the AA group compared to the control group (P < 0.001) but was normalized by ETN (P < 0.001) (Fig. 5c). The anti-apoptotic factor Bcl-2, activated by AA, was not affected by ETN.

Figure 5.

Figure 5

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Effect of etanercept on apoptosis. (a) Representative images of TUNEL-stained kidneys (upper panel, original magnification, × 200, bar, 50 μm; lower panel, original magnification, × 400, bar, 50 μm). (b) Analysis of the number of TUNEL-positive cells. (n = 7–8). (c) Relative renal mRNA expression of Bax and Bcl-2 (n = 7–8). Values are means ± SEM. *** P < 0.001. Ctrl, control; AA, aristolochic acid; ETN, etanercept; TUNEL, TdT-mediated dUTP nick-end labeling.

Discussion

We demonstrated that TNF-α inhibition by ETN attenuated kidney inflammation, fibrosis, and albuminuria in a mouse model of AAN. TNF-α inhibition suppressed the AA-induced increase in renal expression of inflammation- and fibrosis-related genes, including IL-1β, IL-6, and type I and III collagen. Moreover, TNF-α inhibition tended to reduce the AA-induced increase in renal interstitial TUNEL-positive cells and significantly reduced the AA-induced increase in renal Bax mRNA expression, a pro-apoptotic factor. These findings imply that the TNF-α pathway plays a substantial role in the development of kidney fibrosis, and that TNF-α inhibition may exert its anti-fibrotic effect by suppressing kidney inflammation and renal interstitial cell apoptosis.

p38 MAPK is downstream of the TNF-α signaling pathway, and its activation promotes apoptosis and the production of proinflammatory cytokines, including TNF-α, IL-1β, and IL-613,14,36. In this study, the AA-induced increase in renal phosphorylated p38 MAPK was normalized by ETN, suggesting that ETN attenuated the upregulated renal TNF-α pathway in the AAN model. This finding is consistent with the result that the AA-induced increase in renal expression of proinflammatory cytokines was significantly attenuated by ETN. Nonetheless, the renoprotective effect of ETN was limited to partial improvement of fibrosis and albuminuria. These results may be associated with the TGF-β pathway, macrophage infiltration, or the method of inhibiting the TNF-α pathway.

In this study, the AA-induced increase in renal TGF-β expression was not affected by ETN. The TGF-β pathway is a master regulator of fibrosis that promotes the epithelial-mesenchymal transition and production of extracellular matrix protein via the Smad-signaling pathway9,10. Therefore, the lack of a preventive effect of ETN on upregulation of the renal TGF-β pathway may explain its limited anti-fibrotic effect in the AAN model. Notably, previous studies on the roles of the TNF-α and p38 MAPK pathways in the development of kidney injury also demonstrated that inhibiting these pathways does not attenuate renal TGF-β expression22,35,37,38, indicating that the TGF-β pathway is less influenced by inhibiting the TNF-α pathway. No study has evaluated the effects of inhibiting both TNF-α and TGF-β signaling on kidney fibrosis, and future studies addressing this issue might make the anti-fibrotic effect of TNF-α inhibition shown in this study more prominent.

Macrophages play a pathogenic role in the development of kidney inflammation and fibrosis11,39. Various strategies, including depletion or repletion of macrophages and blockade of chemokines or their receptors, have demonstrated a pivotal role for macrophages in kidney diseases40–46. However, in the present study, ETN did not affect renal interstitial macrophage infiltration induced by AA, and the renal gene expression levels related to macrophage infiltration, including MCP-1, F4/80, and CD68, were not affected by TNF-α inhibition. Previous studies on the effects of TNF-α inhibition in kidney injury models have also reported a lack of improvement of macrophage infiltration. For example, Meldrum et al. showed that administering PEG-TNFR1 has no effect on macrophage infiltration in a rat model of UUO25. Similarly, Misaki et al. reported that administering ETN reduces interstitial mononuclear cell infiltration 3 days after, but not 7 and 14 days after UUO47. The reason that ETN did not affect renal interstitial macrophage infiltration in the AAN model is unclear, but insufficient suppression of macrophage infiltration may explain the limited anti-fibrotic effects of ETN.

Genetic ablation of TNF-α receptors has been employed in several studies as another way to inhibit the TNF-α pathway21,22. In these studies, genetic ablation of TNF-α receptors had a certain anti-fibrotic effect (20–30% reduction) against UUO-induced kidney fibrosis, which seemed to be more prominent than the results of our study. Therefore, the limited renoprotective effect in this study might be associated with an insufficient ability of ETN to inhibit the TNF-α pathway.

In this study, ETN partially but significantly attenuated the AA-induced increase in albuminuria, whereas it did not affect structural changes in the glomerulus. Because AA causes proximal tubular epithelial cell death without affecting the glomerulus, the AAN model exhibits mild albuminuria, which is considered tubular proteinuria29. Given that ETN had its renoprotective effect mainly in the renal interstitium, the partial reduction in AA-induced albuminuria may reflect the degree of improvement in renal interstitial damage by TNF-α inhibition.

This study has limitations. First, an ETN group in which mice received an i.p. injection of DMSO and an s.c. injection of ETN was lacking. Therefore, it is unknown whether TNF-α inhibition has any effect on normal kidneys. Second, because ETN did not improve the AA-induced reduction in creatinine clearance, it is unclear whether TNF-α inhibition has a renoprotective effect on kidney functional decline in the AAN model. This absence of an effect may be attributed to the experimental design such as the experimental period, doses of ETN, or the kidney injury model. Studies using longer and/or different doses of ETN and other kidney injury models, such as adenine-infusion and 5/6 nephrectomy, are needed to address this issue. Third, although the present study demonstrates the anti-fibrotic effect of ETN by suppressing inflammation and apoptosis and inhibiting p38 MAPK signaling, it is unclear which factor contributed more prominently.

In conclusion, our findings show that TNF-α inhibition by ETN partially attenuates the development of kidney fibrosis and albuminuria by suppressing kidney inflammation and interstitial cell apoptosis in a mouse model of AAN. Our results support evidence of an anti-fibrotic effect of TNF-α inhibition on kidney fibrosis that has mainly been established by the UUO model. Collectively, these findings indicate a substantial role for the TNF-α pathway in the development of kidney fibrosis and imply that TNF-α inhibition could become an adjunct therapeutic strategy for CKD with fibrosis.

Methods

Animals

This study was performed following the National Institutes of Health guidelines for the use of experimental animals and was reviewed and approved by the Animal Studies Ethics Committee of Yokohama City University. All experiments were performed according to the ARRIVE guidelines. Male C57BL/6 J wild-type mice were purchased from Oriental Yeast Co, Ltd. The mice were housed in a controlled environment with a 12:12 light/dark cycle and ambient temperature (25℃) and humidity. The mice were allowed free access to food and water. They were fed a standard diet (0.5% NaCl, 3.6 kcal/g, and 13.3% energy as fat; Oriental MF, Oriental Yeast Co, Ltd.).

Experiment protocol and administration of aristolochic acid and etanercept

After 2 weeks of acclimatization, mice (9–11 weeks old) were randomly assigned to either the control group, AA group, or AA + ETN group (n = 8 mice per group) (Fig. 1a). The control group received an intraperitoneal (i.p.) injection of dimethyl sulfoxide (DMSO) and a subcutaneous (s.c.) injection of normal saline (NS). The AA group received an i.p. injection of AA (3 mg/kg) and an s.c. injection of NS32,48. The AA + ETN group received an i.p. injection of AA (3 mg/kg) and an s.c. injection of ETN (5 mg/kg)49–51. The ETN dose was determined from previous studies and our preliminary experiment (Supplementary Fig. S1 online). In the preliminary experiment, ETN at a lower dose (1 mg/kg, twice per week) did not exert any anti-fibrotic effect, thus we employed the higher dose (5 mg/kg, twice per week) for this study. Figure 1a shows the time course of the experiment. AA or DMSO was administered twice per week for 4 weeks. ETN or NS was administered twice per week for 8 weeks. Based on previous studies32,48, we adopted a protocol of a 4-week AA administration followed by a 4-week remodeling period, to evaluate kidney fibrosis in a more chronic phase.

Blood pressure and heart rate measurements

Systolic BP and HR were measured via a noninvasive procedure using a computerized tail-cuff plethysmograph (MK-2000 BP monitor; Muromachi Kikai, Tokyo, Japan), as described previously52. All measurements were performed at the same time between 10:00 and 13:00 to avoid diurnal variation in BP. At least 10 BP and HR measurements were analyzed. Systolic BP and HR were measured 0, 4, and 8 weeks after the intervention (Fig. 1a).

Metabolic cage analysis

A metabolic cage analysis was performed at the end of the experimental period, as described previously53. Mice were housed in metabolic cages for 2 consecutive days and given free access to food and water. A 24 h urine collection procedure was performed on day 2.

Biochemical assays

Blood samples were collected by cardiac puncture when the mice were euthanized in the fed state. Whole-blood samples were centrifuged at 3,000 rpm at 4 °C for 10 min to separate plasma, which was snap-frozen and stored at -80 °C until use. Plasma Cr, BUN, and urinary Cr were measured using an autoanalyzer (Hitachi 7180; Hitachi, Tokyo, Japan). Urinary albumin was measured by an immunoturbidimetric assay (Fujifilm Wako Pure Chemical Corp., Tokyo, Japan).

Histological and immunohistochemical analyses

Histological analyses were performed as described previously54,55. Briefly, mouse kidneys were fixed in 4% paraformaldehyde in PBS, incubated overnight at 4 °C, and embedded in paraffin. Sections (4 μm thick) were stained with periodic acid–Schiff (PAS) and PSR. The glomerular area was measured by tracing the outline of the glomerular tuft of at least 50 glomeruli in the cortical fields of PAS-stained specimens. Fibrotic areas were measured digitally using a fluorescence microscope (BZ‐X800; Keyence, Osaka, Japan) in the cortical fields of PSR-stained specimens. Immunohistochemistry was performed as described previously56. Sections were incubated with anti‐F4/80 antibodies (1:100; ab111101; Abcam, Cambridge, MA, USA). The TUNEL assay was conducted using an in situ apoptosis detection kit (MK-500; Takara Biomedicals, Tokyo, Japan). Interstitial TUNEL-positive cells were counted in 10 randomly selected cortical fields (magnification: × 200). All measurements were blinded.

Real-time quantitative reverse transcription polymerase chain reaction (PCR) analysis

Total RNA was extracted from kidney tissues using ISOGEN (Nippon Gene, Tokyo, Japan), and cDNA was synthesized using the SuperScript III First-Strand System (Invitrogen, Carlsbad, CA, USA), according to the manufacturer’s protocol. Real-time quantitative reverse transcription PCR analysis was performed using an ABI PRISM 7000 Sequence Detection System by incubating the reverse transcription products with the TaqMan PCR Master Mix and designed TaqMan probes (Applied Biosystems, Foster City, CA, USA). The TaqMan probes used for PCR were Bax, Mm00432051_m1; Bcl-2, Mm00477631_m1; CD68, Mm03047343_m1; collagen type I (Col1a1), Mm00801666_g1; collagen type III (Col3a1), Mm01254476_m1; F4/80, Mm00802529_m1; IL-1β, Mm00434228_m1; IL-6, Mm00446190_m1; MCP-1, Mm00441242_m1; TGF-β, Mm01178820_m1; and TNF-α, Mm00443258_m1. The mRNA levels were normalized to the 18S rRNA control.

Immunoblot analysis

Western blotting analysis was performed as described previously56. Briefly, kidney tissues were mechanically homogenized in SDS‐containing sample buffer with the complete protease inhibitor cocktail (Roche, Basel, Switzerland), and were denatured by heating at 95 °C for 5 min. Proteins were quantified using the RC DC protein assay kit (Bio-Rad, Hercules, CA, USA). Equal amounts of protein extract were separated by 5–20% sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to a polyvinylidene difluoride membrane using the iBlot Dry Blotting System (Invitrogen, Paisley, UK). The membranes were blocked with 5% skim milk for 1 h at room temperature and probed with specific primary antibodies to p38 MAPK (1:1000, sc-728 Santa Cruz Biotechnology, Santa Cruz, CA, USA), phosphorylated p38 MAPK (1:2000, V1211 Promega Corp., Madison, WI, USA). Horseradish peroxidase-conjugated goat anti-rabbit IgG or goat anti-mouse IgG secondary antibodies were added for 1 h at room temperature. The Immobilon Forte Western HRP substrate (Merck, Kenilworth, NJ, USA) was used for detection. The images were captured with auto-exposure, and automatically optimized using ChemiDoc Touch (Bio-Rad Laboratories).

Calculations and statistical analysis

Statistical analyses were performed using Prism software version 9.0.1 (GraphPad Software, San Diego, CA, USA). The results are presented as means ± SEM. Differences in multiple comparisons were assessed by two-way repeated-measures analysis of variance (ANOVA) for repeated measures data over time, including BW, BP, and HR, and one-way ANOVA was used for the other data. Post hoc analysis was performed using a Dunnett’s test and Tukey’s test when two-way repeated-measures ANOVA or one-way ANOVA indicated a significant difference, respectively. P < 0.05 was considered significant.

Supplementary Information

Supplementary Information. (3.6MB, docx)

Acknowledgements

We thank Emi Maeda for technical assistance and helpful discussions, and Textcheck for editing and reviewing the English in this manuscript.

Author contributions

S. Taguchi, T.Y. and K.A. designed and conducted the research. S. Taguchi, H.W. and K.A. wrote the manuscript. S. Taguchi, K.A., H.W., T.Y., S.U., T.S., E.A., S. Tanaka, S. Tsukamoto, D.K., S.K. and A.Y. performed the experiments. S. Taguchi and K.A. analyzed the data. K.T. supervised the research. All authors approved the final manuscript.

Funding

This work was supported by grants from the Uehara Memorial Foundation, the Yokohama Foundation for Advancement of Medical Science, the Salt Science Research Foundation (20C4), the Japan Society for the Promotion of Science, the Strategic Research Project of Yokohama City University, the Japanese Association of Dialysis Physicians, the grant of Japan Kidney Association-Nippon Boehringer Ingelheim Joint Research Program, the Japan Agency for Medical Research and Development (AMED), and the Translational Research program, Strategic Promotion for Practical Application of Innovative Medical Technology (TR-SPRINT) from AMED.

Data availability

All relevant data are within the paper. The datasets are available from the corresponding authors upon reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Shinya Taguchi and Kengo Azushima.

Contributor Information

Kengo Azushima, Email: azushima@yokohama-cu.ac.jp.

Hiromichi Wakui, Email: hiro1234@yokohama-cu.ac.jp.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-021-02864-1.

References

  • 1.Bikbov B, et al. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2020;395:709–733. doi: 10.1016/S0140-6736(20)30045-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Gansevoort RT, et al. Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention. Lancet. 2013;382:339–352. doi: 10.1016/S0140-6736(13)60595-4. [DOI] [PubMed] [Google Scholar]
  • 3.Lee SB, Kalluri R. Mechanistic connection between inflammation and fibrosis. Kidney Int. 2010;78:S22. doi: 10.1038/ki.2010.418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Wright JR, et al. Clinicopathological correlation in biopsy-proven atherosclerotic nephropathy: Implications for renal functional outcome in antherosclerotic renovascular disease. Nephrol. Dial. Transplant. 2001;16:765–770. doi: 10.1093/ndt/16.4.765. [DOI] [PubMed] [Google Scholar]
  • 5.Ruiz-Ortega M, Rayego-Mateos S, Lamas S, Ortiz A, Rodrigues-Diez RR. Targeting the progression of chronic kidney disease. Nat. Rev. Nephrol. 2020;16:269–288. doi: 10.1038/s41581-019-0248-y. [DOI] [PubMed] [Google Scholar]
  • 6.Liu BC, Tang TT, Lv LL, Lan HY. Renal tubule injury: a driving force toward chronic kidney disease. Kidney Int. 2018;93:568–579. doi: 10.1016/j.kint.2017.09.033. [DOI] [PubMed] [Google Scholar]
  • 7.Humphreys BD. Mechanisms of renal fibrosis. Annu. Rev. Physiol. 2018;80:309–326. doi: 10.1146/annurev-physiol-022516-034227. [DOI] [PubMed] [Google Scholar]
  • 8.Gewin LS. Renal fibrosis: primacy of the proximal tubule. Matrix Biol. 2018;68–69:248–262. doi: 10.1016/j.matbio.2018.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Sureshbabu A, Muhsin SA, Choi ME. TGF-β signaling in the kidney: profibrotic and protective effects. Am. J. Physiol. Physiol. 2016;310:F596–F606. doi: 10.1152/ajprenal.00365.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Meng XM, Nikolic-Paterson DJ, Lan HY. TGF-β: The master regulator of fibrosis. Nat. Rev. Nephrol. 2016;12:325–338. doi: 10.1038/nrneph.2016.48. [DOI] [PubMed] [Google Scholar]
  • 11.Meng XM, Nikolic-Paterson DJ, Lan HY. Inflammatory processes in renal fibrosis. Nat. Rev. Nephrol. 2014;10:493–503. doi: 10.1038/nrneph.2014.114. [DOI] [PubMed] [Google Scholar]
  • 12.Lv W, Booz GW, Wang Y, Fan F, Roman RJ. Inflammation and renal fibrosis: recent developments on key signaling molecules as potential therapeutic targets. Eur. J. Pharmacol. 2018;820:65–76. doi: 10.1016/j.ejphar.2017.12.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Al-Lamki RS, Mayadas TN. TNF receptors: Signaling pathways and contribution to renal dysfunction. Kidney Int. 2015;87:281–296. doi: 10.1038/ki.2014.285. [DOI] [PubMed] [Google Scholar]
  • 14.Sabio G, Davis RJ. TNF and MAP kinase signalling pathways. Semin. Immunol. 2014;26:237–245. doi: 10.1016/j.smim.2014.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Gupta J, et al. Association between albuminuria, kidney function, and inflammatory biomarker profile in CKD in CRIC. Clin. J. Am. Soc. Nephrol. 2012;7:1938–1946. doi: 10.2215/CJN.03500412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ta W, Tr R. Mechanisms of fibrosis: therapeutic translation for fibrotic disease. Nat. Med. 2012;18:1028–1040. doi: 10.1038/nm.2807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Vielhauer V, Mayadas TN. Functions of TNF and its receptors in renal disease: distinct roles in inflammatory tissue injury and immune regulation. Semin. Nephrol. 2007;27:286–308. doi: 10.1016/j.semnephrol.2007.02.004. [DOI] [PubMed] [Google Scholar]
  • 18.Awad AS, et al. Macrophage-derived tumor necrosis factor-α mediates diabetic renal injury. Kidney Int. 2015;88:722–733. doi: 10.1038/ki.2015.162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Omote K, et al. Role of the TNF pathway in the progression of diabetic nephropathy in KK-Ay mice. Am. J. Physiol. Ren. Physiol. 2014;306(11):F1335–F1347. doi: 10.1152/ajprenal.00509.2013. [DOI] [PubMed] [Google Scholar]
  • 20.Choi DE, et al. Pretreatment with the tumor nerosis factor-α blocker etanercept attenuated ischemia-reperfusion renal injury. Transplant. Proc. 2009;41:3590–3596. doi: 10.1016/j.transproceed.2009.05.042. [DOI] [PubMed] [Google Scholar]
  • 21.Guo G, Morrissey J, McCracken R, Tolley T, Klahr S. Role of TNFR1 and TNFR2 receptors in tubulointerstitial fibrosis of obstructive nephropathy. Am. J. Physiol. Physiol. 1999;277:F766–F772. doi: 10.1152/ajprenal.1999.277.5.F766. [DOI] [PubMed] [Google Scholar]
  • 22.Guo G, et al. Contributions of angiotensin II and tumor necrosis factor-α to the development of renal fibrosis. Am. J. Physiol. Ren. Physiol. 2001;280(5):F777–F785. doi: 10.1152/ajprenal.2001.280.5.F777. [DOI] [PubMed] [Google Scholar]
  • 23.Misseri R, et al. TNF-α mediates obstruction-induced renal tubular cell apoptosis and proapoptotic signaling. Am. J. Physiol. Ren. Physiol. 2005;288:406–411. doi: 10.1152/ajprenal.00099.2004. [DOI] [PubMed] [Google Scholar]
  • 24.Meldrum KK, et al. TNF-α Neutralization Decreases Nuclear Factor-κB Activation and Apoptosis During Renal Obstruction. J. Surg. Res. 2006;131:182–188. doi: 10.1016/j.jss.2005.11.581. [DOI] [PubMed] [Google Scholar]
  • 25.Meldrum KK, et al. TNF-α neutralization ameliorates obstruction-induced renal fibrosis and dysfunction. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2007;292:1456–1464. doi: 10.1152/ajpregu.00620.2005. [DOI] [PubMed] [Google Scholar]
  • 26.Nogueira A, Pires M, Oliveira P. Pathophysiological mechanisms of renal fibrosis: a review of animal models and therapeutic strategies. In Vivo. 2017;31:1–22. doi: 10.21873/invivo.11019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Debelle FD, et al. Aristolochic acids induce chronic renal failure with interstitial fibrosis in salt-depleted rats. J. Am. Soc. Nephrol. 2002;13:431–436. doi: 10.1681/ASN.V132431. [DOI] [PubMed] [Google Scholar]
  • 28.Debelle FD, Vanherweghem JL, Nortier JL. Aristolochic acid nephropathy: a worldwide problem. Kidney Int. 2008;74:158–169. doi: 10.1038/ki.2008.129. [DOI] [PubMed] [Google Scholar]
  • 29.Anger EE, Yu F, Li J. Aristolochic acid-induced nephrotoxicity: molecular mechanisms and potential protective approaches. Int. J. Mol. Sci. 2020;21:1157. doi: 10.3390/ijms21031157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Honarpisheh M, et al. Aristolochic acid I determine the phenotype and activation of macrophages in acute and chronic kidney disease. Sci. Rep. 2018;8:1–13. doi: 10.1038/s41598-018-30628-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Zhou L, et al. Mechanism of chronic aristolochic acid nephropathy: role of Smad3. Am. J. Physiol. Physiol. 2010;298:F1006–F1017. doi: 10.1152/ajprenal.00675.2009. [DOI] [PubMed] [Google Scholar]
  • 32.Huang L, Scarpellini A, Funck M, Verderio EAM, Johnson TS. Development of a chronic kidney disease model in C57BL/6 mice with relevance to human pathology. Nephron Extra. 2013;3:12–29. doi: 10.1159/000346180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Fu Y, et al. Mechanism and treatment of renal fibrosis: rodent models of AKI-CKD transition. Am. J. Physiol. Ren. Physiol. 2018;315:F1098. doi: 10.1152/ajprenal.00199.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Murdaca G, Colombo BM, Puppo F. Anti-TNF-α Inhibitors: a new therapeutic approach for inflammatory immune-mediated diseases: an update upon efficacy and adverse events. Int J. Immunopathol. Pharmacol. 2009;22:557–565. doi: 10.1177/039463200902200301. [DOI] [PubMed] [Google Scholar]
  • 35.Stambe C, et al. The role of p38α mitogen-activated protein kinase activation in renal fibrosis. J. Am. Soc. Nephrol. 2004;15:370–379. doi: 10.1097/01.asn.0000109669.23650.56. [DOI] [PubMed] [Google Scholar]
  • 36.Meldrum KK, et al. p38 MAPK mediates renal tubular cell TNF-α production and TNF-α-dependent apoptosis during simulated ischemia. Am. J. Physiol. Physiol. 2001;281:C563–C570. doi: 10.1152/ajpcell.2001.281.2.C563. [DOI] [PubMed] [Google Scholar]
  • 37.Lim AKH, et al. Role of MKK3-p38 MAPK signalling in the development of type 2 diabetes and renal injury in obese db/db mice. Diabetologia. 2009;52:347–358. doi: 10.1007/s00125-008-1215-5. [DOI] [PubMed] [Google Scholar]
  • 38.Morimoto Y, et al. TNF-α deficiency accelerates renal tubular interstitial fibrosis in the late stage of ureteral obstruction. Exp. Mol. Pathol. 2008;85:207–213. doi: 10.1016/j.yexmp.2008.08.003. [DOI] [PubMed] [Google Scholar]
  • 39.Cao Q, Harris DCH, Wang Y. Macrophages in kidney injury, inflammation, and fibrosis. Physiology. 2015;30:183–194. doi: 10.1152/physiol.00046.2014. [DOI] [PubMed] [Google Scholar]
  • 40.Kang YS, et al. CCR2 antagonism improves insulin resistance, lipid metabolism, and diabetic nephropathy in type 2 diabetic mice. Kidney Int. 2010;78:883–894. doi: 10.1038/ki.2010.263. [DOI] [PubMed] [Google Scholar]
  • 41.Kashyap S, et al. Ccl2 deficiency protects against chronic renal injury in murine renovascular hypertension. Sci. Rep. 2018;8:1–12. doi: 10.1038/s41598-018-26870-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Kitagawa K, et al. Blockade of CCR2 ameliorates progressive fibrosis in kidney. Am. J. Pathol. 2004;165:237–246. doi: 10.1016/S0002-9440(10)63292-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Lee SJ, et al. CCR2 knockout ameliorates obesity-induced kidney injury through inhibiting oxidative stress and ER stress. PLoS ONE. 2019;14:e0222352. doi: 10.1371/journal.pone.0222352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Wilkening A, et al. C-C chemokine receptor type 2 mediates glomerular injury and interstitial fibrosis in focal segmental glomerulosclerosis. Nephrol. Dial. Transplant. 2020;35:227–239. doi: 10.1093/ndt/gfy380. [DOI] [PubMed] [Google Scholar]
  • 45.Kitamoto K, et al. Effects of liposome clodronate on renal leukocyte populations and renal fibrosis in murine obstructive nephropathy. J. Pharmacol. Sci. 2009;111:285–292. doi: 10.1254/jphs.09227fp. [DOI] [PubMed] [Google Scholar]
  • 46.Jo SK, Sung SA, Cho WY, Go KJ, Kim HK. Macrophages contribute to the initiation of ischaemic acute renal failure in rats. Nephrol. Dial. Transplant. 2006;21:1231–1239. doi: 10.1093/ndt/gfk047. [DOI] [PubMed] [Google Scholar]
  • 47.Misaki T, et al. Decrease in tumor necrosis factor-α receptor-associated death domain results from ubiquitin-dependent degradation in obstructive renal injury in rats. Am. J. Pathol. 2009;175:74–83. doi: 10.2353/ajpath.2009.080884. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Ishii T, et al. Tissue xanthine oxidoreductase activity in a mouse model of aristolochic acid nephropathy. FEBS Open Bio. 2021;11:507–518. doi: 10.1002/2211-5463.13083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Omote K, et al. Role of the TNF pathway in the progression of diabetic nephropathy in KK-Ay mice. Am. J. Physiol. Ren. Physiol. 2014;306:1335–1347. doi: 10.1152/ajprenal.00509.2013. [DOI] [PubMed] [Google Scholar]
  • 50.Kobayashi R, et al. An angiotensin II type 1 receptor binding molecule has a critical role in hypertension in a chronic kidney disease model. Kidney Int. 2017;91:1115–1125. doi: 10.1016/j.kint.2016.10.035. [DOI] [PubMed] [Google Scholar]
  • 51.Whiting C, Castillo A, Haque MZ, Majid DSA. Protective role of the endothelial isoform of nitric oxide synthase in ANG II-induced inflammatory responses in the kidney. Am. J. Physiol. Ren. Physiol. 2013;305(7):F1031–F1041. doi: 10.1152/ajprenal.00024.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Azushima K, et al. Adipocyte-specific enhancement of angiotensin II type 1 receptor-associated protein ameliorates diet-induced visceral obesity and insulin resistance. J. Am. Heart Assoc. 2017;6(3):e004488. doi: 10.1161/JAHA.116.004488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Kinguchi S, et al. Effects of ATRAP in renal proximal tubules on angiotensin-dependent hypertension. J. Am. Heart Assoc. 2019;8:e012395. doi: 10.1161/JAHA.119.012395. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Ohsawa M, et al. Deletion of the angiotensin II type 1 receptor-associated protein enhances renal sodium reabsorption and exacerbates angiotensin II-mediated hypertension. Kidney Int. 2014;86:570–581. doi: 10.1038/ki.2014.95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Tsurumi Y, et al. Interacting molecule of AT1 receptor, ATRAP, is colocalized with AT1 receptor in the mouse renal tubules. Kidney Int. 2006;69:488–494. doi: 10.1038/sj.ki.5000130. [DOI] [PubMed] [Google Scholar]
  • 56.Maeda A, et al. Angiotensin receptor-binding protein ATRAP/Agtrap inhibits metabolic dysfunction with visceral obesity. J. Am. Heart Assoc. 2013;2(4):e000312. doi: 10.1161/JAHA.113.000312. [DOI] [PMC free article] [PubMed] [Google Scholar]

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Supplementary Materials

Supplementary Information. (3.6MB, docx)

Data Availability Statement

All relevant data are within the paper. The datasets are available from the corresponding authors upon reasonable request.

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