Abstract
Diabetic nephropathy (DN) is a common clinically relevant complication of diabetes that is associated with damage to the capillaries, yet the etiology of this condition remains unclear. Nuclear factor‐kappa B (NF‐κB) activation is known to be associated with DN‐related inflammation and disease progression. Recent work indicated that microRNAs are diagnostic biomarkers of DN progression associated with inflammation in the progression of DN. miR‐218 is known to play key regulatory roles in certain cancers in humans, while its influence on DN pathology remains uncertain. The present study, therefore, sought to assess how miR‐218 influences the progression of disease in both a rat streptozotocin‐induced model of DN and as well as an in vitro model system in which mouse podocytes were stimulated with high glucose levels. We found miR‐218 to be markedly downregulated in both model systems relative to appropriate controls, and this downregulation was associated with IKK‐β upregulation. In DN rat model, overexpressing miR‐218 was sufficient to reduce renal injury. We further determined that podocyte proliferation was markedly impaired by glucose treatment, leading to the apoptotic death of these cells, and miR‐218 mimics were able to reduce these phenotypes. Overexpressing miR‐218 also significantly dampened inflammatory responses in this model system, as evidenced by reduced tumor necrosis factor‐α, interleukin‐6 (IL‐6), IL‐1β, and MCP‐1 levels. We then confirmed that miR‐218 targeting the messenger RNA encoding IKK‐β using a dual‐luciferase reporter assay. Together, our results provide clear evidence that miR‐218 regulate NF‐κB‐mediated inflammation, which is central to DN progression.
Keywords: diabetic nephropathy, IKK‐β, inflammatory, miR‐218, NF‐κB
miR‐218 is downregulated and IKK‐β is upregulated in diabetic nephropathy rat model. Overexpressing miR‐218 is sufficient to reduce renal injury. miR‐218 regulates inflammatory response by targeting IKK‐β and regulating nuclear factor‐kappa B signaling pathway.

1. INTRODUCTION
Diabetic nephropathy (DN) is a common and yet severe microvascular condition that arises as a complication in many patients with diabetes and can lead to the development of end‐stage renal disease (ESRD; Doshi & Friedman, 2017; Stanton, 2014). DN affects up to a quarter of type 1 diabetes patients and up to 40% of type 2 diabetes patients, and type 2 DN in turn accounts for up to half of all ESRD cases according to the United States Renal Data System (Gallagher & Suckling, 2016; Shen, Fang, Xing, & Wang, 2017). A wide array of cellular, metabolic, and inflammatory factors can mediate DN development and progression, resulting in a number of pathological changes within the kidneys of affected individuals (Imtiaz, Salman, Nasir, Drohlia, & Ahmad, 2017; Shema‐Didi et al., 2016; Yuan, Nee, Ceckowski, Knight, & Abbott, 2017). These changes include extensive macrophage infiltration, accumulation of extracellular matrix materials, impaired cellular functionality, and localized tissue fibrosis (Das, Dakshinamurty, Prayaga, & Uppin, 2012; Satirapoj & Adler, 2015). Recent research suggests that inflammatory signaling is essential to DN progression, making it a worthy topic of study in the context of this disease (Moreno et al., 2018).
Both animal and clinical research efforts have determined that a number of proinflammatory molecules are dysregulated in the context of DN, including tumor necrosis factor (TNF)‐α, interleukin (IL)‐18, intercellular adhesion molecule 1, and myeloid differentiation primary response 88 (Barutta, Bruno, Grimaldi, & Gruden, 2015; Duran‐Salgado & Rubio‐Guerra, 2014; Hartner et al., 2014). All four of these programs are transcriptional targets of the proinflammatory nuclear factor‐kappa B (NF‐κB), which is activated in the context of DN‐associated inflammation, driving further localized inflammation, fibrosis, and glomerulosclerosis (Navarro‐Gonzalez & Mora‐Fernandez, 2008; Roy, Janal, Crosby, & Donnelly, 2015; Xu et al., 2014). Given its inflammatory potential, the NF‐κB signaling pathway is tightly regulated by proteins including inhibitor of NF‐κB alpha (IκBα), which prevents NF‐κB nuclear translocation and transcriptional activation until immunoproteasome‐mediated IκBα degradation occurs (Suryavanshi & Kulkarni, 2017; Zhu, Han, Yuan, Xue, & Pang, 2018). The IKK complex is composed of three subunits each encoded by a separate gene, including IKKα, IKKβ, and IKKγ (Ben et al., 2019; Matsui et al., 2018); in which, IKKβ is critical for the production of inflammatory cytokines and associated with the activation of cancers, including breast cancer, pancreatic cancer, melanoma, and acute myeloid leukemia (Greten et al., 2004). MicroRNAs (miRNAs) are noncoding RNAs which are complementary to sequences on specific target messenger RNAs (mRNAs), and which can specifically suppress the translation of these target mRNA molecules or mediate their degradation (O'Brien, Hayder, Zayed, & Peng, 2018). These miRNAs typically bind to specific regions in the 3′‐untranslated region (UTR) of target mRNAs, thereby mediating their regulatory effects on subsequent translational activity (Nahand et al., 2019). Dysregulated miRNA expression has been detected in a range of kidney diseases including DN, as well as renal fibrosis and drug‐induced kidney injury (Gholaminejad, Abdul Tehrani, & Gholami Fesharaki, 2018). For example, previous research has demonstrated that miR‐302a‐3p is able to regulate renal epithelial–mesenchymal transition in the context of diabetic kidney disease owing to the ability of this miRNA to directly target ZEB1 (Tang et al., 2018). Similarly, miR‐184 regulates the albuminuria which can promote renal fibrosis in DN rats (Zanchi et al., 2017), whereas miR‐27a can induce injury to podocytes in the context of DN as a result of β‐catenin activation (Zhou et al., 2017). The previous study reported that miR‐218 regulates inflammation in periodontitis rats by targeting matrix metalloproteinase‐9 (Guo et al., 2019). miR‐218 was also involved in MUC5AC hyperproduction and inflammation in smoking‐induced bronchiolitis of chronic obstructive pulmonary disease (Xu et al., 2017).
In the present study, we used a rat streptozotocin (STZ)‐induced DN model as well as high glucose (HG)‐inhibited podocyte model system to explore the association between miR‐218 and IKK‐β in the context of DN, based on the hypothesis that miR‐218 targets IKK‐β to regulate NF‐κB‐mediated inflammation.
2. MATERIALS AND METHODS
2.1. Animal models
The Experimental Animal Ethical Committee of Second Hospital of Jilin University approved all study protocols, which were conducted in a manner consistent with the National Institutes of Health Guide for the Care and Use of Laboratory Animals. Male Sprague Dawley rats (250 ± 20 g; 12 weeks of age) came from the Shanghai Laboratory Animal Center (Shanghai, China) and were housed in a specific pathogen‐free facility at 21 ± 2°C with 55 ± 2% humidity. All animals were given 1 week to acclimate, after which they were randomized into one of four groups (n = 12/group): a control group, a DN group, a DN+lentivirus (LV) negative control (NC) group, and a DN+LV‐miR‐218 group. We established a DN model system in these rats received a single intraperitoneal injection of 50 mg/kg STZ which was dissolved in 0.1 M citrate acid buffer (Sigma‐Aldrich), and then assessing levels of glucose in the blood of these animals 3 days later. If animals had a blood glucose level >16.7 mmol/L, the DN model system was deemed successful. Animals in the two lentiviral groups were injected with an appropriate adenovirus expressing miR‐218 or a control sequence (100 µl volume, 1 × 105 IU/µl). Twelve weeks later, rats were killed, and kidney tissue was isolated for analysis.
2.2. Podocyte treatment
We purchased an immortalized murine podocyte cell line from The Cell Culture Center (PUMC, CAMS, Beijing, China), growing these cells in Roswell Park Memorial Institute‐1640 containing 10% fetal bovine serum (Gibco, Grand Island, NY), 5.6 mM glucose, 10 U/ml murine interferon‐γ (Sigma‐Aldrich), and penicillin/streptomycin according to the previously experimental protocols (Mundel et al., 1997). Lipofectamine 2000 (Invitrogen, Carlsbad, CA) was used to transfect cells with miR‐218 mimics or appropriate controls. To establish an HG stimulation model in these podocytes, cells were incubated without serum for 12 hr, after which they were then treated with either normal glucose (con, 5.6 mM) or HG (30 mM) levels as appropriate.
2.3. Biochemical analyses
Following sacrifice of study animals, we collected blood from the abdominal aorta. This blood was allowed to clot with anticoagulant for 2 hr, after which it was spun at 2,000g for 10 min and the supernatant plasma was collected for measurement of blood glucose (F006‐1‐1; Jiancheng Biotech, Nanjing, China), serum creatinine (C011‐2‐1; Jiancheng Biotech), and blood urea nitrogen (C013‐2‐1; Jiancheng Biotech) levels based on commercially available kits. We also measured protein levels in the blood via a Bradford Protein Assay Kit (Bio‐Rad).
2.4. Cell Counting Kit‐8 assay
We incubated podocytes overnight in 96‐well plates. We then added 100 μl of cell counting kit (CCK‐8; 96692; Sigma) reagent to each well after 24, 48, and 72 hr, and analyzed samples via microplate reader (Bio Tek Instruments) after 4 hr.
2.5. 5‐Ethynyl‐2′‐deoxyuridine proliferation assay
To assess cell proliferation, we treated transfected cells (48 hr posttransfection) using 50 μM 5‐Ethynyl‐2′‐deoxyuridine (EdU). We then utilized Apollo staining as well as 4′,6‐diamidino‐2‐phenylindole to identify EdU‐positive cells via fluorescence microscopy.
2.6. Apoptosis analysis
To assess apoptotic cell death, we dual‐stained podocytes using a FITC Annexin V Apoptosis Detection Kit I (BD Biosciences, San Jose, CA) and analyzed the stained cells via a FACScan flow cytometer (BD Biosciences).
2.7. Real‐time reverse transcription‐polymerase chain reaction
TRIzol (Invitrogen) was used for the extraction of podocyte RNA, which then underwent quantification using a NanoDrop 2000/2000c machine (Thermo Fisher Scientific). Next, 1 µg of extracted RNA from each sample was used in a reverse transcription assay to yield complementary DNA (cDNA) via a high capacity cDNA Reverse Transcription Kit (TaKaRa, Tokyo, Japan). We then used the SYBR Premix ExTaq II Kit (TaKaRa) and appropriate gene‐specific primers to conduct quantitative PCR assays with Applied Biosystems 7900 Real‐Time PCR instrument (Applied Biosystems). The method was used to determine relative gene expression, normalizing target genes to β‐actin.
2.8. Cytokine enzyme‐linked immunosorbent assays
We homogenized kidney samples and podocytes, spun homogenates at 9000g for 30 min at 4°C, and then measured homogenate or supernatant levels of IL‐1β (ab100704), IL‐6 (ab100712), TNF‐α (ab208348), and MCP‐1 (ab100721) with appropriate ELISA Kits (Abcam).
2.9. Western blotting
Protein samples were isolated and then separated them via electrophoresis on 10% sodium dodecyl sulfate polyacrylamide gel electrophoresis gels followed by transfer onto polyvinylidene fluoride membranes (Millipore). Membranes underwent blocking with 5% nonfat dry milk and were then probed overnight using appropriate primary antibodies followed by the use of a secondary HRP‐conjugated secondary antibody. Western blotting detection reagents were then used to identify immunoreactive protein bands on these blots. The primary antibodies are list as following: β‐actin (#3700), IKK‐β (#8943; Cell Signaling Technology), cleaved caspase‐3 (ab13847), Bcl‐2 (ab32124), p‐p65 (ab86299; Abcam), and p65 (sc71675; Santa Cruz Biotechnology).
2.10. miRNA target prediction
We used miRDB (http://www.mirdb.org/), miRanda (http://www.microrna.org/), TargetScan (http://www.targetscan.org/), and Starbase (http://starbase.sysu.edu.cn/) for predicting miR‐218 target mRNAs.
2.11. Luciferase reporter assay
We synthesized wild‐type (WT) or mutant (MUT) IKK‐β sequences with normal or disrupted miR‐218 binding, and then cloned these constructs into the pGL3 basic vector (Promega, Madison, WI). We then plated cells in 12‐well plates overnight, before transfecting them with miR‐218 mimics as well as 10 μg pLUC‐WT‐IKK‐β or pLUC‐MUT‐IKK‐β and then using a dual‐luciferase reporter assay system (Promega) to measure subsequent luciferase activity.
2.12. Statistical analysis
GraphPad Prism 6.0 (Graphpad Software Inc.) was used for all statistical analyses. Data are means ± standard deviation from triplicate experiments. Student's t test and one‐way analysis of variance were used to compare results, with p < .05 as the threshold of significance.
3. RESULTS
3.1. miR‐218 downregulation and IKK‐β upregulation are evident in DN models
We began by measuring the levels of miR‐218 and IKK‐β in DN model rats to explore the relationship between these two molecules and disease progression. Our finding showed that miR‐218 expression was decreased in DN model rats (Figure 1a), whereas there was a corresponding increase in the mRNA levels of IKK‐β (Figure 1b,c). To extend these observations in vitro, we treated murine podocytes with a 30 mM HG stimulation and assessed miR‐218 dynamics overtime. We found that there was both a time‐dependent decrease in miR‐218 in these cells and a corresponding time‐dependent increase in IKK‐β mRNA levels (Figure 1d–f). Together these results suggest a potential link between miR‐218, IKK‐β, and DN progression.
Figure 1.

Expression of miR‐218 and IKK‐β in DN rats and podocytes. (a) The expression of miR‐218 in DN rats. Real‐time RT‐PCR was used to evaluate miR‐218 expression using U6 as a loading control. (b) The mRNA expression levels of IKK‐β in DN rats. Real‐time RT‐PCR was used with β‐actin as a loading control. (c) The protein expression of IKK‐β in DN rats. Western blotting was used with β‐actin as a loading control. (d) The expression levels of miR‐218 in podocytes. Cells were incubated with 30 mM glucose at indicated time point. (e) The mRNA expression levels of IKK‐β in podocytes as treated in (D). (f) The protein expression levels of IKK‐β in podocytes as treated in (d). Error bars stand for the mean ± SD of at least triplicate experiments. DN, diabetic nephropathy; mRNA, messenger RNA; RT‐PCR, reverse transcription‐polymerase chain reaction; SD, standard deviation. **p < .01; ***p < .001
3.2. Overexpression of miR‐218 was associated with reduced kidney damage in response to STZ
To formally confirm the relevance of miR‐218 to the progression of DN, we next injected rats intravenously with a LV that encoded miR‐218 or a control virus, leading to a significant increase in miR‐218 expression in rats injected with the LV‐miR‐218 construct (Figure 2a). We found that DN model rats had significantly reduced body weights relative to control animals, whereas miR‐218 overexpression significantly increased the body weight of these animals after 12 weeks (Figure 2b). We further found that DN model rats exhibited elevated levels of blood glucose, blood urea nitrogen, serum creatinine, and total protein in the blood, while miR‐218 overexpression reduced all these parameters (Figure 2c–f). Together, these results thus confirm that miR‐218 could ameliorate renal injury in STZ‐induced DN rats.
Figure 2.

Effect of miR‐218 overexpression on renal damage in STZ‐induced DN rats. (a) The expression of miR‐218 in control rats, DN rats, or DN rats infected with LV‐miR‐218 or LV‐NC using real‐time RT‐PCR. The body weight (b) and the concentrations of 24‐hr proteinuria (c), blood glucose level (d), serum creatinine (e), and blood urea nitrogen (f) in DN rats. Error bars stand for the mean ± SD of at least triplicate experiments. DN, diabetic nephropathy; LV, lentivirus; NC, negative control; RT‐PCR, reverse transcription‐polymerase chain reaction; SD, standard deviation; STZ, streptozotocin. *p < .05; **p < .01; ***p < .001
3.3. miR‐218 overexpression impaired HG‐induced apoptosis and growth inhibition of mouse podocytes in vitro
To explore how miR‐218 influences podocyte growth in vitro, we next transfected these cells with miR‐218 mimics or control constructs, leading to significantly elevated miR‐218 levels in appropriately transfected cells (Figure 3a). We next used CCK‐8 assays to assess the survival of these cells, revealing that HG impaired cell survival, whereas miR‐218 transfection was able to boost survival (Figure 3b). In addition, in an EdU‐based proliferation assay, we found that HG levels impaired podocyte proliferation, while miR‐218 transfection was able to overcome this impairment (Figure 3c). These results thus suggest that miR‐218 overexpression is linked to enhanced podocyte proliferation.
Figure 3.

Effect of miR‐218 overexpression on podocytes proliferation in vitro. (a) The expression of miR‐218 in control podocytes, HG podocytes, or HG podocytes infected with LV‐miR‐218 or LV‐NC using real‐time RT‐PCR. (b) Result of the CCK‐8 assay in podocytes as treated in (a). (c) Result of the EdU assay in podocytes as treated in (a). (d) Flow cytometry analysis was used to examine the apoptotic as treated in (a). (e) protein levels of cleaved caspase‐3 and Bcl‐2 was detected by western blotting as treated in (a). Error bars stand for the mean ± SD of at least triplicate experiments. CCK‐8, cell counting kit‐8; EdU, 5‐Ethynyl‐2′‐deoxyuridine; HG, high glucose; RT‐PCR, reverse transcription‐polymerase chain reaction; SD, standard deviation. **p < .01; ***p < .001
We further performed analyses of the apoptotic death of podocytes under HG treatment conditions, revealing that HG treatment induced substantial podocyte apoptosis, while miR‐218 transfection substantially attenuated this phenotype (Figure 3d). This was consistent with the results of western blotting experiments, revealing elevated cleaved caspase‐3 levels in HG‐treated cells, as well as decreased Bcl‐2 levels in these same cells, whereas miR‐218 transfection reversed both of these results (Figure 3e). Together, these findings suggest that miR‐218 was able to suppress the apoptotic death of podocytes induced in response to HG levels.
3.4. miR‐218 reduced the inflammation triggered by STZ in vivo and by glucose in vitro in podocytes
To explore how miR‐218 influences the expression of inflammatory cytokines in our DN model rats, we measured renal cortical levels of IL‐6, IL‐1β, MCP‐1, and TNF‐α by ELISA, revealing these proteins to be highly expressed in DN model animals, whereas this expression was reduced when rats were injected with the miR‐218 expressing LV (Figure 4a–d). This result suggests that overexpressing miR‐218 can reduce inflammatory cytokine production in DN models of rats.
Figure 4.

Effect of miR‐218 on the secretion of inflammatory cytokines in vivo and in vitro. The concentrations of IL‐6 (a), IL‐1β (b), TNF‐α (c), and MCP‐1 (d) in kidney cortex of DN rats were measured by ELISA analysis. The concentrations of IL‐6 (e), IL‐1β (f), TNF‐α (g), and MCP‐1 (h) in podocytes were measured by ELISA analysis. Error bars stand for the mean ± SD of at least triplicate experiments. DN, diabetic nephropathy; IL, interleukin; SD, standard deviation; TNF, tumor necrosis factor. *p < .05; **p < .01; ***p < .001
We further sought to assess how miR‐218 influences inflammatory cytokine production in our in vitro podocyte model system. Consistent with our in vivo findings, levels IL‐6, IL‐1β, MCP‐1, and TNF‐α were elevated in cells treated with high levels of glucose, and transfection of these cells with miR‐218 mimics significantly reduced the expression of these cytokines (Figure 4e–h). This thus confirms that overexpressing miR‐218 can inhibits the inflammatory response induced by HG levels in podocyte cell line.
3.5. miR‐218 inhibited NF‐κB pathway activation both in vitro and in vivo
Given that the IKK‐β/NF‐κB pathway is known to play a key role in activating and regulating inflammatory responses, we next wanted to assess whether the protective effects of miR‐218 that we observed in our model systems were linked to regulation of this pathway. We therefore measured the IKK‐β and NF‐κB p65 levels in our DN rat model before or after miR‐218 administration, revealing that both total IKK‐β (Figure 5a,b) and the p‐p65/p65 ratio (Figure 5a,c) were significantly increased in DN rat model relative to control animals, whereas miR‐218 overexpression significantly reduced these inflammatory parameters, leading to reduced p65 phosphorylation and IKK‐β expression (Figure 5a–c). Together, these results suggest that miR‐218 is thus able to interfere with the IKK‐β/NF‐κB pathway activation in a rat model of STZ‐induced DN.
Figure 5.

miR‐218 inactivated IKK‐β/NF‐κB pathway in STZ‐induced DN rat model. (a–c) Western blotting was used to detect the protein levels of IKK‐β, p‐p65, and p65 in control podocytes, HG podocytes, or HG podocytes infected with LV‐miR‐218 or LV‐NC. (d–f) Western blotting was used to detect the protein levels of IKK‐β, p‐p65, and p65 in podocytes. Error bars stand for the mean ± SD of at least triplicate experiments. DN, diabetic nephropathy; HG, high glucose; LV, lentivirus; NC, negative control; NF‐κB, nuclear factor‐kappa B; SD, standard deviation; STZ, streptozotocin. *p < .05; **p < .01; ***p < .001
We further assessed how miR‐218 influences the IKK‐β/NF‐κB pathway in our podocyte HG treatment model system. We found that IKK‐β levels (Figure 5d,e), as well as the p‐p65/p65 ratio (Figure 5d,f) were significantly increased in podocytes following HG treatment, and transfection with the miR‐218 mimic significantly reduced these levels suggesting that miR‐218 is able to disrupt the activation of this IKK‐β/NF‐κB pathway in podocytes treated with HG concentrations.
3.6. miR‐218 directly targets the IKK‐β mRNA
We next used available pathway databases to predict potential miR‐218 targets, which led to the identification of IKK‐β as one such predicted target. We, therefore, constructed WT IKK‐β and MUT IKK‐β (without the requisite miR‐218 binding sequence) plasmids (Figure 6a), and cotransfected these into cells along with miR‐218 mimics. We observed decreased reporter activity when cells were cotransfected with the WT construct and miR‐218 (Figure 6b), and found IKK‐β to also be inhibited by miR‐218 in these same cells (Figure 6c,d). These results thus confirmed that IKK‐β was a direct miR‐218 target.
Figure 6.

miR‐218 targeted IKK‐β in vitro. (a) The luciferase reporter constructs containing the wild‐type (WT‐IKK‐β) or mutant IKK‐β (MUT‐IKK‐β) sequence. (b) WT‐IKK‐β or MUT‐IKK‐β was cotransfected into podocytes with miR‐218 mimics or their corresponding negative controls. (c) mRNA level of IKK‐β in podocytes transfected with miR‐128 mimics. (d) The protein level of IKK‐β in podocytes transfected with miR‐128 mimics. (e) Schematic diagram of the proposed model. Error bars stand for the mean ± SD of at least triplicate experiments. mRNA, messenger RNA; SD, standard deviation *p < .05; **p < .01
4. DISCUSSION
Many studies have found miRNAs expression is dysregulated in a variety of serious human diseases, including DN rat model (Nassirpour, Raj, Townsend, & Argyropoulos, 2016; Simpson, Wonnacott, Fraser, & Bowen, 2016). In the present study, we evaluated the molecular mechanisms whereby miR‐218 mediates renal protection in a DN rat model, as well as in an in vitro HG‐treated podocyte model system. We found that miR‐218 expression was decreased both in DN animal models, and in podocytes following HG treatment. This was associated with corresponding increases in the expression of IKK‐β. When we overexpressed miR‐218 in the DN rat model, this was associated with a significant reduction in renal injury, whereas transfection of podocytes with miR‐218 overcame HG‐induced defects in cell proliferation and HG‐induced apoptotic cell death. miR‐218 overexpression further disrupted inflammatory cytokine production in both our in vitro and in vivo DN rat model. We further found that miR‐218 directly targeting the 3′‐UTR of the IKK‐β mRNA. Together, these findings suggest that miR‐218 can disrupt kidney damage and inflammation in the context of DN at least in part via targeting and suppressing the activation of the IKK‐β/NF‐κB pathway (Figure 6e).
Previous work has found that multiple distinct miRNAs can modulate the progression of DN via targeting a wide range of signaling pathways relating to autophagy, oxidative and mechanical stress, and advanced glycation end‐product generation (Chung, 2015; Nascimento & Domingueti, 2019). A range of interrelated factors including genetics, ischemia, inflammation, and hypoxia have all been found to contribute to DN progression (Ha, Choi, Kim, Na, & Park, 2019; Xu, Natarajan, & Chen, 2019). Many miRNAs can modulate inflammatory signaling by targeting relevant MAPK or NF‐κB signaling subunits, such as miR‐155 and‐146 which control NF‐κB signaling (Barutta et al., 2013; Huang et al., 2014). In this study, we found that miR‐218 also regulated inflammatory signaling in a manner associated with NF‐κB signaling, although further research into the specific underlying mechanisms is warranted.
Inflammation is a central regulatory process governing DN pathogenesis, with inflammatory factors including IL‐1, IL‐6, and TNF‐α all being linked to the development of this disease (Yang et al., 2019). These factors are induced downstream of the IKK‐β/NF‐κB pathway, which is similarly central to the progression of DN, resulting in substantial renal damage and disease (Sun et al., 2018; Yao et al., 2019; Zhang et al., 2018). Consistent with this, in the present study, we found that miR‐218 treatment disrupted both glucose‐ and STZ‐induced activation of the IKK‐β/NF‐κB pathway.
In the current study, we used podocytes for in vitro investigation, however, the cell lines are only models, and in many cases, their response is different from the primitive cell types they represent. In addition, for the in vivo experiments, we analyzed the expression of miR‐218 and cytokines in cortical renal tissue. In fact, glomeruli (which in turn podocytes) account for only a small proportion of the renal cortex. Clearly, much more work in the future is needed to perform to understand the therapeutic mechanism of the miR‐218.
In summary, our experiments have revealed that miR‐218 is able to reduce the podocyte death, renal injury, and inflammatory responses associated with DN. We further found that the ability of miR‐218 to mediate these protective effects was associated with its ability to bind to the IKK‐β mRNA, preventing its translation and thereby constraining the activation of the inflammatory NF‐κB pathway. Our results thus provide an improved understanding of how miR‐218 regulates DN, suggesting it may have the potential for clinical application in the treatment of this serious condition.
CONFLICT OF INTERESTS
The authors declare that there are no conflict of interests.
AUTHOR CONTRIBUTIONS
M. L., Q. G., H. C., H. W., and Z. M. performed the experiments. M. L. and Q. G. analyzed the data. H. C. and H. W. helped in data collection. M. L. and X. Z. conceived of the study, participated in its design and wrote the paper. All authors read and approved the final manuscript.
References
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