Submitted:
09 May 2025
Posted:
12 May 2025
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Abstract
Background/Objectives: Contrast agents can damage renal tissue through multiple mechanisms, particularly by increasing reactive oxygen species (ROS), which contribute to DNA oxidation, lipid peroxidation, and endothelial injury. This prospective, comparative study aimed to evaluate the changes in ROS-related gene expressions—NFKB1, SIRT1, NFE2L2, and FOXO1—in patients who developed contrast-induced nephropathy (CIN) following coronary angiography versus those who did not. Methods: A total of 48 patients undergoing primary percutaneous coronary intervention were enrolled. Twenty-three patients who developed CIN (Group 1) were compared to 25 matched controls without CIN (Group 2) based on age, gender, and comorbidities. Blood and serum samples were collected 72 hours post-contrast exposure to assess biochemical markers and mRNA expression levels of the target genes. Results: The mean age was similar between the groups (63 ± 7 vs. 62 ± 6 years; p > 0.05), as was gender distribution. Group 1 showed significant increases in serum creatinine and reductions in e-GFR post-procedure. Importantly, NFKB1, NFE2L2, and FOXO1 mRNA expression levels were significantly upregulated in CIN patients—by 5.7-, 5.8-, and 4.97-fold, respectively—while SIRT1 expression was downregulated by 0.76-fold (p < 0.05). Conclusions: These findings indicate enhanced activation of inflammatory and oxidative stress pathways in CIN patients, particularly through the Nf-κB signaling axis. Conversely, reduced SIRT1 expression suggests diminished antioxidant protection. The study highlights that ROS-related gene expression changes may serve as potential biomarkers for CIN progression. Further studies at the protein level are needed to clarify cytokine roles in these pathways.
Keywords:
contrast-induced nephropathy
; contrast media
; inflammation
; kidney injury
; reactive oxygen species
1. Introduction
Radio-opaque substances are imaging materials that trap X-rays sent into the body, do not allow X-rays to pass through that area, and make hollow organs and vessels more clearly visible [1]. The vast majority of these cells are excreted through the kidneys and can damage kidney tissue temporarily or permanently through many mechanisms [2,3]. In particular, exposure to radio-opaque substances causes the release of vasoconstrictor mediators, systemic hypovolemia, hyperviscosity, and increased osmotic load in the distal tubule, decreased renal blood flow, decreased oxygen delivery to renal tissue, and increased oxygen consumption [4,5]. This may result in direct cytotoxicity and hypoxia in the renal medulla, leading to renal dysfunction. Furthermore, renal dysfunction occurs due to endogenous biochemical damage, such as released free oxygen radicals and decreased antioxidant enzyme activity.
Cellular reactive oxygen species (ROS) are tightly controlled by different mechanisms to maintain normal cellular function [5]. Increased ROS due to oxidative damage causes DNA oxidation, lipid peroxidation, and endothelial cell damage, and this process is considered the primary mechanism of damage in most tissues [5]. The transcription factor nuclear factor kappa B (NF-κB), which plays a vital role in cellular viability and inflammation, can be activated by H2O2, which is known to be sensitive to cellular oxidative status and contribute to cell death. SIRT1 plays a role in the ROS mechanism by regulating its key regulator, NF-κB [4]. SIRT1 is a gene in the cell nucleus that contributes to cellular regulation. SIRT1 inhibits NF-κB-regulated gene expression by deacetylating the RelA/p65 subunit of NF-κB [6]. SIRT1 is also associated with various molecular mechanisms, including the inhibition of p53, regulation of the Forkhead box gene (FOXO), and Nuclear factor erythroid-2-related factor 2 (NRF2) activity coded by the NFE2L2 gene [7]. FOXO plays a role in the ROS mechanism by upregulating catalase and SOD enzymes involved in the detoxification of ROS [4,5]. NRF2 is a crucial transcription factor that can stimulate the expression of antioxidant and detoxification enzymes and provide a cellular response to oxidative stress. Under normal conditions, NRF2 is retained in the cytoplasm by a group of rapidly degrading proteins. Under oxidative stress, NRF2 transfers to the nucleus, binds to the DNA promoter, and initiates the transcription of antioxidative genes and proteins. Heme oxygenase-1 (HO-1) is one of the genes whose transcription is initiated by NRF2. HO-1 is a human gene encoding the enzyme heme oxygenase 1. It reduces heme to bilirubin, CO, and iron, which have antioxidant and anti-inflammatory properties [7,8]. In this context, there could be a relationship between inflammation and the progression of contrast-induced nephropathy (CIN) due to contrast media inducing inflammation.
In this context, the present study aimed to comparatively determine the changes in ROS-related NFKB1, SIRT1, NFE2L2, and FOXO1 expression levels in patients who developed CIN after primary percutaneous coronary intervention (p-PCI) and in patients who did not develop CIN.
2. Materials and Methods
2.1. Selection of the Study Group and Collection of Blood Samples
The prospective comparative study was conducted on a total of 48 patients who underwent p-PCI. The study included 23 patients with CIN (Group 1) and 25 patients without CIN (Group 2). Both groups were matched for age, gender, and comorbid conditions. Blood and serum samples were collected 3 days after the contrast agent administration and stored at -80°C. Demographic characteristics and biochemical parameters of the patients were recorded. Written informed consent was obtained from all participating patients, and ethics committee approval of our university was obtained (no=E-16214662-050.01.04-1651448).
2.2. Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) Analysis
Changes in the expression levels of NFKB1, SIRT1, NFE2L2, and FOXO1 were analyzed by RT-PCR analysis. In this context, RNA isolation was performed from Group 1 and 2 patients and controls by TRIzol (Thermo Scientific, USA). The concentration of the isolated RNA was determined by the Qubit system (Invitrogen, USA). cDNA was synthesized from the obtained RNA via a high-capacity cDNA kit (Thermo Fisher Scientific, USA). The mRNA levels of NFKB1, SIRT1, NFE2L2, and FOXO1 were analyzed by RT‒PCR (Reverse Transcription Polymerase Chain Reaction-Applied Biosystems, USA) by using TaqMan probes (Thermo Fisher Scientific, USA), and beta-Actin was used as an internal control. Changes in the expression levels of the genes were defined via data analysis programs (REST (2009 V2.0.13)).
2.3. Statistical Analysis
The statistical analysis of the dataset was conducted using IBM SPSS version 21. Both the Kolmogorov-Smirnov and Shapiro-Wilk tests were employed to assess the normality of numerical data. Variables with a normal distribution were presented as mean ± standard deviation and compared using the student’s t-test. Variables that did not follow a normal distribution were expressed as median (25th–75th percentiles) and compared using the Mann-Whitney U test. Categorical variables were summarized as frequencies (percentages), and comparisons between groups were performed using chi-square tests. Receiver Operating Characteristic (ROC) curve analysis was used to evaluate the prognostic values of NFKB1, SIRT1, NFE2L2, and FOXO1. The cut-off values were determined based on the highest sensitivity and specificity. A p-value of < 0.05 was considered statistically significant in all analyses.
3. Results
3.1. Clinical Features of Patients
A total of 48 patients, 23 with CIN (Group 1) and 25 without CIN (Group 2), were included in the study. The mean age of the patients was 63 ± 7 years in Group 1 and 62 ± 6 years in Group 2 (p > 0.05), respectively, and in terms of male gender, there were 16 (69.6%) males in Group 1 and 17 (68.0%) in Group 2 (p > 0.05). There was no significant difference in the comorbidity of diabetes mellitus, hypertension, heart failure, or more than one comorbid condition (Table 1). However, CIN developed more in patients with >3 comorbid conditions (p = 0.03). At baseline, serum uric acid was higher in Group-1 (6.9 ± 1.8 mg/dl vs 5.1 ± 1.3 mg/dl, p = 0.004), and serum albumin level was significantly lower in the CIN group compared to the control group (3.6 ± 0.4 vs 3.9 ± 0.3 g/L, p = 0.005). The mean serum creatinine of the patients who developed CIN was 2.06 (1.52-3.07) mg/dl and e-GFR: 31.16 ± 16.09 mL/min/1.73m2 (p < 0.001) (Table 2).
3.2. Evaluation of Changes in the Inflammation-Related Gene Levels
The changes in the expression levels of NFKB1, SIRT1, NFE2L2, and FOXO1, associated with ROS involved in the mechanism of development of CIN, were determined by RT-PCR analysis (Figure 1, Table 3). NFKB1, NFE2L2, and FOXO1 mRNA levels increased by 5.7-fold (3.08-8.54), 5.8-fold (2.88-10.16), and 4.97-fold (3.04-8.84), respectively in Group 1 (p = 0.001), while SIRT1 expression level decreased by 0.76-fold (0.5-0.92) (p = 0.002) compared with the Group 2 (Table 3). Therefore, the upregulation of NFKB1, NFE2L2, and FOXO1 mRNA levels could predict CIN progression and induce inflammation.
3.3. Association of ROS-Related Gene Levels with CIN in the Patients
We performed ROC curve analysis to assess the prediction of changes in the mRNA levels of NFKB1, SIRT1, NFE2L2, and FOXO1 for CIN progression. According to ROC analysis, with respect to increasing the risk of developing CIN, we found that 96% sensitivity and 100% specificity for NFE2L2 with 1.34- (AUC: 0.977; 95% CI: 0.987-1; p < 0.001), 100% sensitivity and 96% specificity for NFKB1 with 0.78-fold (AUC: 0.998; 95% CI: 0.993-1; p < 0.001), 100% sensitivity and 100% specificity for FOXO1 with 1.32-fold (AUC: 1.000; 95% CI: 1-1; p < 0.001). Additionally, the risk of CIN increased at values below 0.88-fold (AUC: 0.763; 95% CI: 0.620-0.907; p = 0.002) with 74% sensitivity and 72% specificity for SIRT1 (Figure 2).
Furthermore, the cut-off expression levels of NFE2L2 > 1.34-fold, NFKB1 > 0.78-fold and SIRT1 < 0.88-fold predicted an increased risk of CIN by 26.32 (95% Cl: 3.731–166.667; p < 0.001), 11.5 (95% Cl: 3.043–43.461; p < 0.001) and 2.36 (95% Cl: 1.216–4.587; p = 0.004) times, respectively. In addition, the risk of CIN was fully predicted for FOXO1 with the cut-off value > 1.32, and the odds ratio was calculated as infinite (OR = ∞) (p < 0.001) (Table 4).
4. Discussion
This prospective, matched, and comparable study reported the changes in the expression levels of NFKB1, SIRT1, NFE2L2, and FOXO1 associated with ROS in patients who underwent p-PCI and developed CIN. To our knowledge, for the first time, we have shown the impact of inflammation-related biomarkers at the gene level in cardiac patients who develop CIN. Our findings suggest that NFKB1, NFE2L2, and FOXO1 expression levels were significantly upregulated due to increased ROS and could predict the risk of CIN progression. Our findings, in agreement with the in vitro and in vivo studies [9,10], supported that NF-κB activates inflammatory pathways and may trigger CIN development by increasing ROS production.
Patients with CIN have a marked decrease in e-GFR and develop a non-oliguric reversible acute kidney injury without the need for dialysis. These findings suggest that the development of CIN is associated with significant renal dysfunction. Additionally, CIN is frequently associated with high creatinine levels [11]. In our study, Group 1 patients had high creatinine levels with decreased e-GFR. Our results were consistent with the literature.
Our study population consisted of 75% of patients with type II diabetes mellitus. Increased NF-κB activation in type II diabetes mellitus has also been implicated in impaired vascular function, including myogenic tone, vascular reactivity, and inflammatory response through the detection of PARP-1, SP-1, and COX-2 activity [12]. According to studies on Resolvins, naturally occurring polyunsaturated fatty acids have anti-inflammatory effects in various tissues, including the kidneys. Resolvins exert this anti-inflammatory effect in diabetic patients by suppressing inflammatory responses by 1) inhibition of nucleotide-binding oligomerization domain protein 3 inflammatory, 2) inhibition of NF-κB molecular pathways, 3) amelioration of oxidative stress, 4) modulation of nitric oxide synthesis/release, and 5) prevention of local and systemic leukocytosis [12,13]. In this context, NF-κB plays a crucial role in the pathogenesis of diabetic nephropathy and metabolic kidney diseases. Furthermore, patients with glomerular damage exhibit a higher level of NF-κB protein. NF-κB overexpression is detected in IgA nephropathy, particularly in patients with high proteinuria and decreased renal function [14,15]. In the present study, we assessed that higher expression levels of NFKB1 were detected in Group 1 compared with Group 2 and predicted the risk of CIN progression.
NRF2 is a nuclear transcription factor that stimulates the expression of genes involved in the transcription and replication of mitochondrial DNA and the oxidative phosphorylation system. Furthermore, NRF2 regulates the expression of various genes responsible for cellular detoxification, antioxidant function, anti-inflammation, drug/xenobiotic transport, and stress-related factors, as well as a protective role against acute kidney injury (AKI) [16]. In the literature, the role of NRF2 has been demonstrated with different AKI models. In the kidneys, NRF2 plays a dynamic role in ameliorating renal damage caused by ROS production [17]. Liu et al. showed that renal function, histology, vascular permeability, and survival in NRF2-/- mice under ischaemic conditions blocked by NAC or glutathione treatment were significantly reduced compared to the control group [18]. To our knowledge, we, for the first time, demonstrated the association between NRF2 and developing CIN in patients. Our findings showed that the upregulation of NFE2L2 level predicted the risk of CIN with 96% sensitivity and 100% specificity and could be a biomarker for the diagnosis of early stages of CIN.
Similarly, in our study, changes in the expression level of FOXO1 (1.32-fold with 100% specificity (AUC: 1.000; 95% CI: 1-1; p < 0.001) could be a potential diagnostic biomarker for CIN development. FOXO has many vital functions; e.g., it is an important downstream factor of the PI3K/Akt signaling pathway that induces the expression of death receptor ligands and Bcl-2 family members through negative regulation of the PI3K-Akt signaling pathway and controls cell survival, proliferation, and angiogenesis [18,19,20]. Abelmoschus manihot (L.) Medik. (Malvaceae), A plant used in Traditional Chinese Medicine to treat some kidney diseases has been shown to treat CIN through some pathways, including FOXO [21]. Furthermore, FOXO mediated by SERPINB1 decreases ROS production and MDA levels in a diabetic nephropathy in vitro model [22]. In addition, peroxisome proliferator-activated receptor gamma-assisted activating factor-1α Forkhead-box transcription factor (PGC-1α FOXO) causes oxidative stress and apoptosis [23]. In the current study, we, for the first time, analyzed the upregulation of FOXO1 mRNA levels due to higher ROS production in Group 1 patients. Thus, the findings obtained in the present study suggest that increased FOXO1 expression levels in CIN patients may lead to damage to renal function. However, further molecular investigations are required to assess the role of FOXO-associated signaling pathway in CIN progression.
Furthermore, decreased SIRT1 mRNA level was detected in Group 1 patients. SIRT1 is known as a deacetylase that plays a protective role under cellular stress conditions. Activation of SIRT-1 ameliorates some metabolic diseases associated with many other molecular pathways. In addition, SIRT1 has also been shown to attenuate diabetic nephropathy in vitro and in vivo experimental models of diabetes involving podocytes, mesangial cells, and renal proximal tubular cells [24,25]. In addition, nephroprotection of SIRT1 in diabetic nephropathy is mediated by deacetylation of some transcription factors, including FoxO, RelA/NF-kβ, STAT-3, and PGC-1α/PPARγb, etc, and higher activity of SIRT1 exerts the renal protective effect for diabetic kidney disease [26]. In this context, our results suggest that the downregulation of SIRT1 could be associated with the impairment of nephprotective function, uncontrolled oxidative stress, and increased cellular damage.
5. Conclusions
In conclusion, our study provides important contributions to our understanding of the role of ROS-mediated inflammation in CIN development and the molecular basis of these mechanisms. Our findings showed that the higher activation of the Nf-κb signaling pathway and the upregulation of NFE2L2 and FOXO1 levels were observed in CIN patients with the downregulation of SIRT1. These findings suggest that CIN development leads to inflammation and ROS production, and changes in the expression levels of NFKB1, SIRT1, and NFE2L2 could predict the risk of CIN in patients. However, further studies can be carried out in more comprehensive CIN patient groups to verify changes in the gene expression level at the protein level. Additionally, the role of inflammation, ROS-mediated signaling pathways, and cytokine levels should be investigated.
Author Contributions
For research articles with several authors, a short paragraph specifying their individual contributions must be provided. The following statements should be used “Conceptualization, H.D. and G.G.E.; methodology, H.D. and G.G.E.; software, A.T and R.K.; validation, H.D., G.G.E. and A.T.; formal analysis, H.D., A.T. and R.K.; investigation, A.T., R.K. and E.G.; resources, A.T.,R.K. and A.N.; data curation, E.G., A.N. and H.G.; writing—original draft preparation, E.G., A.N. and H.G.; writing—review and editing, H.D., G.G.E., H.G. and A.T.; visualization, A.N., H.G. and A.T.; supervision, E.G., A.T.; project administration, H.G.; funding acquisition, H.D. and G.G.E. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by the Sakarya University Scientific Research Projects Unit (Research Project number: BAPK 2021-9-32-26).
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by Ethics Committee of Sakarya University (protocol code E-16214662-050.01.04-1651448).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors on request.
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| AKI | acute kidney injury |
| BMI | Body Mass Index |
| CIN | contrast-induced nephropathy |
| eGFR | estimated Glomerular Filtration Rate |
| FOXO | Forkhead box gene |
| HO-1 | Heme oxygenase-1 |
| NF-Κb | nuclear factor kappa B |
| NRF2 | Nuclear factor erythroid-2-related factor 2 |
| p-PCI | primary percutaneous coronary intervention |
| ROC | Receiver Operating Characteristic |
| ROS | reactive oxygen species |
| RT-PCR | Reverse Transcriptase-Polymerase Chain Reaction |
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Figure 1.
Comparison of expression of NFKB1, NFE2L2, FOXO1, and SIRT1 levels by RT-PCR analysis in Group 1 and Group 2 patients.
Figure 1.
Comparison of expression of NFKB1, NFE2L2, FOXO1, and SIRT1 levels by RT-PCR analysis in Group 1 and Group 2 patients.
Figure 2.
Comparison of expression of NFKB1, NFE2L2, FOXO1, and SIRT1 levels by RT-PCR analysis in Group 1 and Group 2 patients.
Figure 2.
Comparison of expression of NFKB1, NFE2L2, FOXO1, and SIRT1 levels by RT-PCR analysis in Group 1 and Group 2 patients.
Table 1.
Comparison of patient groups according to baseline demographic parameters.
| All Patients N = 48 |
Group 2 N = 25 |
Group 1 N = 23 |
p-Value | |
|---|---|---|---|---|
| Age, years | 63 ± 7 | 62 ± 6 | 63 ± 7 | 0.478 |
| Male sex, n (%) | 33 (68.8%) | 17 (68%) | 16 (69.6%) | 0.907 |
| Body Mass Index, kg/m² | 28.86±5.36 | 28.87±6.41 | 28.85±4.07 | 0.990 |
| Smoking status, n (%) | ||||
| Yes | 22 (45.8%) | 11 (44%) | 11 (47.8%) | 0.756 |
| No | 17 (35.4%) | 10 (40%) | 7 (30.4%) | |
| Alcohol use, n (%) | ||||
| Yes | 4 (8.30%) | 3 (12%) | 1 (4.30%) | 0.583 |
| No | 37 (77.1%) | 19 (76%) | 18 (78.3%) | |
| Comorbidities, n (%) | ||||
| Diabetes mellitus | 36 (75%) | 16 (64%) | 20 (87%) | 0.670 |
| Hypertension | 20 (41.7%) | 8 (32%) | 12 (52.2%) | 0.157 |
| Coronary artery disease | 24 (50%) | 15 (60%) | 9 (39.1%) | 0.149 |
| Heart failure | 9 (18.8%) | 3 (12%) | 6 (26.1%) | 0.279 |
| Hyperlipidemia | 25 (52.1%) | 10 (40%) | 15 (62.2%) | 0.081 |
| Number of comorbidities, n (%) | ||||
| 0 | 8 (16.7%) | 6 (24%) | 2 (8.7%) | 0.122 |
| 1 | 9 (18.8%) | 6 (24%) | 3 (13%) | |
| 2 | 3 (6.3%) | 2 (8%) | 1 (4.3%) | |
| 3 | 13 (27.1%) | 8 (32%) | 5 (21.7%) | |
| 4 | 9 (18.8%) | 2 (8%) | 7 (30.4%) | |
| 5 | 3 (6.3%) | 1 (4%) | 2 (8.7%) | |
| <3 | 33 (68.8%) | 22 (88%) | 11(47.8%) | 0.03 |
| 3≥ | 15 (31.3%) | 3 (12%) | 12 (52.2%) |
Table 2.
Comparison of laboratory parameters of patients at baseline and 72 hours after contrast media exposure.
Table 2.
Comparison of laboratory parameters of patients at baseline and 72 hours after contrast media exposure.
| All Patients N = 48 |
Group 2 N = 25 |
Group 1 N = 23 |
p-Value | |
|---|---|---|---|---|
| Baseline | ||||
| Serum Urea, mg/dL | 35 (27-49) | 30 (25-36) | 43 (30-77) | 0.001 |
| Serum Uric acid, mg/dL | 6 ± 1.8 | 5.1 ± 1.3 | 6.9 ± 1.8 | 0.004 |
| Serum Creatinine, mg/dL | 0.80 ± 0.17 | 0.76 ± 0.17 | 0.84 ± 0.16 | 0.139 |
| eGFR, mL/min/1.73 m² | 95.96 ± 15.31 | 98.17 ± 12.84 | 93.56 ± 17.60 | 0.303 |
| Serum Sodium, mEq/L | 137 ± 3 | 138 ± 3 | 136 ± 4 | 0.216 |
| Serum Potassium, mmol/L | 4.4 ± 0.4 | 4.3 ± 0.3 | 4.4 ± 0.5 | 0.245 |
| Serum Calcium, mg/dL | 9.2 ± 0.5 | 9.2 ± 0.5 | 9.1 ± 0.6 | 0.562 |
| Serum Albumin, g/L | 3.7 ± 0.4 | 3.9 ± 0.3 | 3.6 ± 0.4 | 0.005 |
| 72nd hour | ||||
| Serum Urea, mg/dL | 62 ± 44 | 32 ± 10 | 95 ± 44 | <0.001 |
| Serum Uric acid, mg/dL | 6.7 ± 2.6 | 5.3 ± 1.3 | 8.5 ± 2.8 | <0.001 |
| Serum Creatinine, mg/dL | 1.1 (0.84-2.05) | 0.87 (0.71-0.99) | 2.06 (1.52-3.07) | <0.001 |
| eGFR, mL/min/1.73 m² | 63.26 ± 34.48 | 92.79 ± 13.94 | 31.16 ± 16.09 | <0.001 |
| Serum Sodium, mEq/L | 137 ± 4 | 139 ± 2 | 135 ± 5 | 0.002 |
| Serum Potassium, mmol/L | 4.3 (4.1-4.8) | 4.4 (4.3-4.8) | 4.2 (3.8-4.4) | 0.017 |
| Serum Calcium, mg/dL | 9.2 (8.5-9.6) | 9.6 (9.3-9.9) | 8.5 (7.9-8.8) | <0.001 |
| Serum Albumin, g/L | 3.6 (3.3-4.2) | 4.1 (3.9-4.2) | 3.2 (3.1-3.6) | <0.001 |
Abbreviation: eGFR: estimated Glomerular Filtration Rate.
Table 3.
Comparison of expression levels of NFKB1, SIRT1, NFE2L2, and FOXO1 in patients with/without contrast-induced nephropathy.
Table 3.
Comparison of expression levels of NFKB1, SIRT1, NFE2L2, and FOXO1 in patients with/without contrast-induced nephropathy.
| All Patients N = 48 |
Group 2 N = 25 |
Group1 N = 23 |
p-Value | |
|---|---|---|---|---|
| NFKB1 | 0.78 (0.21-5.62) | 0.24 (0.11-0.41) | 5.7 (3.08-8.54) | <0.001 |
| SIRT1 | 0.89 (0.56-1.78) | 1.76 (0.66-3.24) | 0.76 (0.5-0.92) | 0.002 |
| NFE2L2 | 0.79 (0.19-6.64) | 0.2 (0.1-0.32) | 6.8 (2.88-10.16) | <0.001 |
| FOXO1 | 0.81 (0.18-4.94) | 0.18 (0.1-0.24) | 4.97 (3.04-8.84) | <0.001 |
Table 4.
Univariate analysis of NFKB1, SIRT1, NFE2L2, and FOXO1 expression levels to predict the risk of contrast-induced nephropathy progression.
Table 4.
Univariate analysis of NFKB1, SIRT1, NFE2L2, and FOXO1 expression levels to predict the risk of contrast-induced nephropathy progression.
| Univariate Analysis | ||
|---|---|---|
| Variable | Odds Ratio (95% CI) | p-Value |
| NFE2L2 (>1.34-fold) | 26.32 (3.731-166.667) | <0.001 |
| NFKB1 (>0.78-fold) | 11.5 (3.043-43.461) | <0.001 |
| FOXO1 (>1.32-fold) | ∞ (NA-NA) | <0.001 |
| SIRT1 (<0.88-fold) | 2.36 (1.216-4.587) | 0.004 |
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