| Literature DB >> 34025134 |
Yan Gao1, Ding Yuan1, Liyue Gai1, Xuelian Wu1, Yue Shi1, Yumin He1, Chaoqi Liu1, Changcheng Zhang1, Gang Zhou2, Chengfu Yuan1,3.
Abstract
BACKGROUND: The decreased renal function is known to be associated with biological aging, of which the main pathological features are chronic inflammation and renal interstitial fibrosis. In previous studies, we reported that total saponins from Panax japonicus (SPJs) can availably protect acute myocardial ischemia. We proposed that SPJs might have similar protective effects for aging-associated renal interstitial fibrosis. Thus, in the present study, we evaluated the overall effect of SPJs on renal fibrosis.Entities:
Keywords: ARE, antioxidant response element; Aging; COX2, cyclooxygenase-2; Cys C, cystatin C; ECM, extracellular matrix; HO-1, human heme oxygenase 1; IL-6, interleukin-6; IκB, inhibitor of NF-κB; LPO, lipid peroxides; MCP-1, monocyte chemoattractant protein-1; MMPs, matrix metalloproteinases; NF-κB, nuclear factor kappa-B; NQO1, recombinant NADH dehydrogenase quinone 1; Nrf2, nuclear factor erythroid 2-related factor 2; Nrf2-ARE signaling pathways; PJ, Panax japonicas; Renal fibrosis; SD, Sprague-Dawley; SPJ-H, high-dose of SPJ; SPJ-L, low-dose of SPJ; SPJs, saponins from panax japonicus; TGF-β1, tumor growth factor-β1; TGF-β1/Smad; TIMPs, tissue inhibitors of metalloproteinases; TNF-α, tumor necrosis factor-α; Total saponins of panax japonicus; UA, uric acid; α-SMA, α-smooth muscle aorta; β2-MG, β2-microglobulin
Year: 2020 PMID: 34025134 PMCID: PMC8134850 DOI: 10.1016/j.jgr.2020.08.005
Source DB: PubMed Journal: J Ginseng Res ISSN: 1226-8453 Impact factor: 6.060
The primer sequences used for real-time PCR
| Gene | Forward primer (5′-3′) | Reverse primer (5′-3′) |
|---|---|---|
| Nrf2 | gacctaaagcacagccaacacat | ctcaatcggcttgaatgtttgtc |
| TGF-β1 | tgcgcttgcagagattaaaa | agccctgtattccgtctcct |
| Smad2 | aacccgaatgtgcaccataagaa | gcgagtctttgatgggtttacga |
| Smad3 | ccccagagcaatattccaga | tgtgaagcgtggaatgtctc |
| Smad4 | aaggcctagcaccaccttag | agccttaaactctgacctgt |
| HO-1 | tgtcccaggatttgtccgag | actgggttctgcttgtttcgct |
| NQO1 | ggggacatgaacgtcattctct | agtggtgactcctcccagacag |
| TIMP1 | gggcttcaccaagaccta | gaagaaagatgggagtggg |
| TIMP2 | ccaaagcggtcagtgaga | tggtgcccgttgatgttc |
| MMP2 | acctggatgccgtcgtggac | tgtggcagcaccagggcagc |
| MMP9 | cgctgggcttagatcattcc | ttgtcggcgataaggaagg |
| Fibronectin | gactcgctttgacttcaccac | tccttcctcgctcagttcgt |
| Collagen I | actcagccgtctgtgcctca | ggaggcctcggtggacatta |
| Collagen III | aagggcagggaacaactgat | gtgaagcagggtgagaagaaac |
| Collagen IV | ccgggatttactggaccacc | cccttgctctcccttgtca |
| TNF-α | tgctctgtgaggcgactgg | gggctctgaggagtagacgataaag |
| IL-1β | ggaaacagcaatggtcggg | gacttggcagaggacaaaggc |
| IL-6 | caacttccaatgctctcctaatgg | tgccgagtagacctcatagtgacc |
| GAPDH | aactttggcattgtggaagg | acacattgggggtaggaaca |
Antibodies, sources and dilutions used in this study
| Name of antibody | Source/Cat. # | Dilutions | Method |
|---|---|---|---|
| Anti-Fibronectin | Abcam/ab45688 | 1:500 | Immunostaining |
| Anti-α-SMA | Santa Cruz Biotechnology/sc-53142 | 1:500 | Immunostaining |
| Anti-Vimentin | Santa Cruz Biotechnology/sc-6260 | 1:500 | Immunostaining |
| Anti-collagen-I | Abcam/ab90395 | 1:1000 | Western blot |
| Anti-collagen-III | Santa Cruz Biotechnology/sc-514601 | 1:500 | Western blot |
| Anti-collagen-ΙV | Abcam/ab6586 | 1:1000 | Western blot |
| Anti-MMP2 | Abcam/ab37150 | 1:1000 | Western blot |
| Anti-MMP9 | Abcam/ab38898 | 1:2000 | Western blot |
| Anti-TIMP1 | Abcam/ab61224 | 1:1500 | Western blot |
| Anti-TIMP2 | Abcam/ab180630 | 1:1000 | Western blot |
| Anti-TGF-β1 | Abcam/ab92486 | 1:1000 | Western blot |
| Anti-Smad 2/3 | Santa Cruz Biotechnology/sc-398844 | 1:1000 | Western blot |
| Anti-Smad 4 | Santa Cruz Biotechnology/sc-1909 | 1:1000 | Western blot |
| Anti-IL-6 | Santa Cruz Biotechnology/sc-57315 | 1:500 | Western blot |
| Anti-IL-1β | Abcam/ab9722 | 1:1000 | Western blot |
| Anti-TNF-α | Santa Cruz Biotechnology/sc-52746 | 1:500 | Western blot |
| Anti-Phospho–NF–κB | cell signaling/No:6956 | 1:500 | Western blot |
| Anti–NF–κB | Santa Cruz Biotechnology/sc-365568 | 1:500 | Western blot |
| Anti-phospho-IκΒ | Abcam/ab12135 | 1:500 | Western blot |
| Anti-IκΒ | cell signaling/No:4812 | 1:1000 | Western blot |
| Anti-Nrf2 | Abcam/ab137550 | 1:1000 | Western blot |
| Anti-HO1 | Abcam/ab3243 | 1:1000 | Western blot |
| Anti-NQO1 | Abcam/ab28947 | 1:1000 | Western blot |
| Anti-β-actin | Santa Cruz Biotechnology/sc-47778 | 1:1000 | Western blot |
Fig. 1Effects of SPJs on renal morphology and function in aging rats. (A) Representative images of H&E and Masson's trichrome stain of renal tissue (200×); (B) Average percentage of positive Masson's trichrome stained area (blue); and (C) The serum levels of UA, β2MG, and Cys C were determined using ELISA. Data in (B) and (C) are expressed as mean ± SD, ∗p < 0.05, n = 6.
Fig. 2Effects of SPJs on the expression levels of Collagen I, Collagen III, Collagen IV, Fibronectin and α-SMA in the renal tissue of aging rats. The mRNA expression level of Collagen I(A), Collagen III (B) and Collagen IV(C) were shown. (D), (E) Representative results of Western blot and quantitative analysis with antibodies against Collagen I, Collagen III and Collagen IV. β-actin was used as an internal control for normalization of protein loading. SPJs affected protein expression levels of Fibronectin (F) and α-SMA (G) in the renal tissue of aging rats as detected by immunohistochemistry (400×). (H) The quantitative analysis on protein expression levels (positive areas) of fibronectin and α-SMA in the kidneys. (K) The relative mRNA expression levels (folds) of Fibronectin and α-SMA in the kidneys. All the experiments were performed in triplicate. Data in (E), (H) and (K) are expressed as mean ± SD, ∗p < 0.05, n = 6.
Fig. 3Effects of SPJs on the expression levels of MMP2, MMP9, TIMP1 and TIMP2 in the renal tissue of aging rats. The mRNA expression levels of MMP2 (A), MMP9 (B), TIMP1(C) and TIMP2 (D). (E) Effects of SPJs on the protein expression levels of MMP2, MMP9, TIMP1 and TIMP2 as detected with their specific antibodies via Western blot. Antibody against β-actin was used as an internal control for normalization of protein loading; (F) The quantitative relative protein expression levels of MMP2, MMP9, TIMP1 and TIMP2 based on Western blot. All the experiments were performed in triplicate. Data in (A-D) and (F) were expressed as mean ± SD, ∗p < 0.05, n = 6.
Fig. 4Effects of SPJs on expression levels of genes involved in TGF-β1/Smad signaling in the renal tissue of aging rats. The mRNA expression levels of TGF-β1 (A), Smad2(B), Smad3(C), and Smad4(D). (E) Representative results of Western blot analysis with antibodies against TGF-β1, Smad2/3, and Smad4, β-actin was used as a control; and (F) The quantitative relative protein expression levels of MMP2, MMP9, TIMP1 and TIMP2 based on Western blot. All the experiments were performed in triplicate. Data in (A-D) and (F) were expressed as mean ± SD, ∗p < 0.05, n = 6.
Fig. 5Effects of SPJs on the expression levels of inflammatory factors and NF-κB signaling in the renal tissue of aging rats. (A) The mRNA expression levels of TNF-α, IL-1β and IL-6 detected by real time PCR. (B) Representative results of Western blot and quantitative analysis with antibodies against TNF-α, IL-1β and IL-6; β-actin was used as an internal control for normalization of protein loading; (C) Representative results of Western blot and quantitative analysis with antibodies against NF-κB, IκB, and the phosphorated NF-κB, IκB, β-actin was used as the internal control for normalization of loading control. All the experiments were performed in triplicate. Data in (A-C) were expressed as mean ± SD, ∗p < 0.05, n = 6.
Fig. 6Effects of SPJs on oxidative stress parameters and Nrf2-ARE signaling in the renal tissue of aging rats. (A) Relative levels of oxidative stress parameters MDA, LPO, GSH, GSH-PX, CAT and SOD measured with corresponding kits. (B) The relative mRNA expression levels of Nrf2, HO-1 and NQO1 detected by real time PCR. (C) Representative results of Western blot and quantitative analysis with antibodies against Nrf2, HO-1 and NQO1, β-actin and H3 were used as internal control for normalization of the loading control, respectively. All the experiments were performed in triplicate. Data in (A-C) were expressed as mean ± SD, ∗p < 0.05, n = 6.
Fig. 7Schematic illustration for summary of the regulatory effects of SPJs on TGF-β1/Smad signaling, NF-κB signaling and Nrf2-ARE signaling pathway. (+): positive effect, (−): negative effect.