Abstract
Background:
Renal ischaemia-reperfusion injury (RIRI) is a common kidney procedure complication due to temporary blood flow interruption, leading to kidney injuries. This study aimed to analyze the effect of metamizole on the levels of interleukin-18 (IL-18), neutrophil-gelatinase-associated lipocalin (NGAL), myeloperoxidase (MPO), and histopathological changes in rats with RIRI.
Materials and methods:
Animal pre-clinical design study was used. Thirty-two male Wistar rats (Rattus norvegicus) were divided into four groups: negative control, positive control, M100, and M200. Blood samples were collected by intracardiac puncture, followed by bilateral nephrectomy and analyzed histopathologically.
Results:
Significant difference in IL-18 levels between positive control vs negative control (114.1 + 12.07 vs. 94.0 + 11.4; P = 0.019) and positive control vs M100 (114.1 + 12.07 vs. 86.9 + 8.34; P = 0.007). There was no difference in NGAL. M100 group had the lowest serum MPO levels (14.78+2.01), there was a significant difference in MPO levels in all pairwise analyses. There was a difference in cumulative EGTI scores among the study groups [positive 10.5 (8–11) vs. negative 9 (7–10) vs. M100 9 (7–10) vs. M200 9 (7–11); P = 0.021].
Conclusion:
Metamizole 100 mg/kgBW can reduce IL-18 and MPO levels in RIRI, giving more optimal results without affecting NGAL levels. Metamizole administration can reduce cumulative EGTI scores in RIRI, both at doses of 100 mg/kgBW and 200 mg/kgBW. This study shows that Metamizole can be used to prevent kidney injury caused by RIRI. IL-18 and MPO can be biomarkers in predicting kidney injury in RIRI.
Keywords: EGTI, IL-18, metamizole, myeloperoxidase, NGAL, renal ischaemia-reperfusion injury
Introduction
Highlights
Metamizole has the potential to serve as a renal protective agent in the context of renal ischaemia-reperfusion injury (RIRI).
Metamizole administration resulted in a noteworthy decrease in interleukin-18 levels and myeloperoxidase levels in RIRI, with the most effective dosage identified was 100 mg/kg body weight.
Metamizole did not showed and promise in lowering interleukin-18 and neutrophil-gelatinase-associated lipocalin levels during RIRI.
Metamizole demonstrated its ability to reduce histopathological kidney damage, as evidenced by a decrease in the cumulative score of the endothelial, glomerular, tubular, and interstitial.
Renal ischaemia-reperfusion injury (RIRI) is a common complication of kidney procedures that involves temporary interruption of blood flow, such as transplantation or nephrectomy1. RIRI occurs when blood flow is restored to the kidney after a period of ischaemia, causing oxidative stress and inflammation. The mechanism of RIRI is the increase of polymorphonuclear cell activity at the site of injury after the restoration of blood flow to the kidney1. These cells will release excessive inflammatory mediators such as myeloperoxidase (MPO), which will trigger the formation of hypochlorous acid (HOCl). Hypochlorous acid can cause tissue damage through its interaction with amino acids, fats, and nucleic acids in body cells1. RIRI is especially a concern for urologic surgeons who often require procedures that induce ischaemic kidney events in nephron-sparing surgery to minimize bleeding2.
RIRI can lead to acute kidney injury (AKI) and chronic kidney disease (CKD) if not prevented or treated3. AKI is defined as a rapid decrease in glomerular filtration rate (GFR) that occurs over hours or days3. The newly developed RIFLE criteria have attempted to simplify the clinical definition and classification of AKI4. Biomarkers that are released into the blood or urine by damaged kidneys, similar to the release of troponin by injured myocardial cells after myocardial ischaemia, may be more sensitive and specific markers of AKI than serum urea and serum creatinine3. In addition, early detection of AKI with kidney-specific biomarkers may result in earlier nephrology consultation, more optimal antibiotic dosing, avoidance of nephrotoxic agents and even early specific therapy to repair damaged kidneys3. The ideal AKI biomarker would enable early detection of kidney injury before serum creatinine and/or serum urea increase; would differentiate acute tubular necrosis (ATN) from acute glomerulonephritis or acute interstitial nephritis; would be able to monitor the effects of intervention or treatment; and would predict the need for dialysis, death, and long-term kidney outcome3. Some biomarkers that can be used as markers of AKI condition include interleukin-18 (IL-18)5, neutrophil-gelatinase-associated lipocalin (NGAL)6–8, and myeloperoxidase (MPO)9.
RIRI is also a complex process where histopathologically there is damage to the tubular cells, endothelial cells, glomerular cells and tubulo-interstitial cells10. Typical events that mark RIRI include loss of endothelial cell integrity, acute tubular necrosis, tubulo-interstitial cell damage and ischaemic damage to glomerular cells10. A study by Khalid et al. 10 in 2016 showed that the endothelial, glomerular, tubular, and interstitial (EGTI) scoring system provides a more comprehensive assessment of kidney injury due to RIRI where it was found that the EGTI scoring system correlated significantly with serum creatinine and also AKI markers such as NGAL and KIM-1.
Recent literatures have found an inhibitory effect of metamizole, a popular non-opioid analgetic, on MPO (a crucial inflammatory derivative that is involved in RIRI) when given in a specific dosage11. Reperfusion injury may occur as polymorphonuclear leucocyte (PNL) produce high number of MPO, elevating toxic HOCI level. Inhibition by Metamizole on the preliminary cascading process may be clinically beneficial, albeit very limited evidence is currently available in literatures12. Furthermore, a study by Kumbasar and colleagues suggested that the use of metamizole could prevent Ischaemia-Reperfusion Injury in ovarian tissues. However, no research has assessed its impact on kidney tissues. Therefore, we aims to evaluate the influence of metamizole administration in preventing RIRI in Wistar rats, utilizing histological examinations for assessment. Therefore, this study aimed to analyze the effect of metamizole on the levels of IL-18, NGAL, MPO, and histopathological changes in rats with RIRI.
Methods
Animal preparation
This study used an animal pre-clinical design and have been reported in line with the ARRIVE criteria, using Wistar rats13. Thirty-two male Wistar rats (Rattus norvegicus) were divided into four groups: negative control, positive control, group treated with metamizole 100 mg/kgBW, and group treated with metamizole 200 mg/kgBW. The inclusion criteria in this study were male rats (to avoid hormonal influences on the results of the study) and weighed between 200 and 250 g. Wistar rats were preferred due to its high availability, low maintenance, and high versatility for most experimental study. Wistar rats is known to be well extrapolated to be applied on humans. Inclusion was strictly for male due to hormonal influences in female Wistar rats13. The exclusion criteria in this study were rats that had macroscopic kidney disorders found during kidney clamping. The dose of 100 mg/kgBW was chosen because that dose is the standard first dose for administering metamizole therapy to prevent reperfusion injury. The dose of 200 mg/kgBW was chosen as a comparator because that dose has been proven effective in preventing reperfusion injury in other organs, evidenced by the low level of Myeloperoxidase in organs given intervention in the form of metamizole 200 mg/kgBW14. Metamizole was injected into rats with the third and fourth groups, then waited for 30 min before proceeding into the surgical procedure. Research approval was obtained from the Health Research Ethics Committee of USU Faculty of Medicine with Number 1193/KEP/USU/2021.
Sample calculation
We estimated the sample size using the Federer formula:
n= samples per study group
t= total of study group
Since we planned to have four group of rats in this study, we calculated the formula and resulted in 6 minimum rat samples per group, and 24 total samples of mice. All mice were appointed randomly to each group.
Surgical procedure
All rats undergone surgery twice. First procedure is to open the abdomen using midline incision and manipulation were divided into two, one only manipulating the intraperitoneal organs, and one to clamp the bilateral kidneys. The second procedure is to do another open surgery twelve hours after the previous manipulation for blood and histopathological sample collections. The first procedure (manipulation) and second procedure (sample collections) were done by two different surgeons to blind the study. The second surgeon who did the sample collections were blinded, not knowing which rats belong to which group. All the rats were randomized
In the first group, after the abdomen was opened, manipulation was performed on the intraperitoneal organs. Then proceeded with suturing of the abdominal wall. Then the rats were returned to the cage.
In the second group, third group and fourth group, after the abdomen was opened, identification of both renal pedicles was performed, then clamping was performed on both renal pedicles (bilateral clamping technique) using Bulldog Clamp brand Renz for 45 min then both clamps were removed, abdomen was closed and rats were returned to cage.
Twelve hours after being put in a cage, all of the rats would undergone intracardial blood sampling and nephrectomy of both kidneys. Detailed process is explained in Figure 1.
Figure 1.
Experimental flow chart.
Blood and kidney sample preparation
The first sample preparation was blood collection. Twelve hours after the manipulation, all groups were prepared for blood sampling and 3 ml of blood was taken intracardially. Intracardial blood withdrawal was preferred due to the large amount of blood needed (in comparison to the weight of each mouse, which are ~200–250 g) and samples were non survival afterwards. The blood sample was then put into an EDTA tube and centrifuged for 10 min at a rotation speed of 3000 rpm. After blood components were separated, supernatant fluid (serum) was taken to examine the IL-18, NGAL and MPO levels (Merck Sigma Aldrich ELISA Kit).
The second sample preparation was the histopathological examination from the resected bilateral kidneys. In histopathological examination, each kidney sample was immersed in 4% formaldehyde solution and fixed with paraffin block. Sections through the kidney were stained with hematoxylin-eosin and preparations were examined using a light microscope and assessed based on EGTI scoring.
Sample treatments on experimental animals were carried out at the Pharmacology Laboratory of USU Faculty of Medicine and the examination of IL-18, NGAL, and Myeloperoxidase levels was carried out at the Integrated Laboratory of USU Faculty of Medicine. Histopathological examination was performed at the Department of Anatomical Pathology of USU Faculty of Medicine. The study was conducted from August 2021 to January 2023.
Statistical analysis
Outcome variables, namely IL-8, NGAL, and MPO, are presented as continuous outcome as mean ± standard deviation. Comparison between each group were done using ANOVA test, and post-hoc Bonferroni test was then performed to assess the differences between the four groups pairwise. Statistical significance is defined as P valueless than 0.05. All statistical analysis was done using IBM SPSS ver 23 (IBM, Copenhagen).
Results
There was a significant difference in IL-18 levels between positive control vs. negative control (114.1 + 12.07 vs. 94.0 + 11.4; P = 0.019) and positive control vs. M100 (114.1 + 12.07 vs. 86.9 + 8.34; P = 0.007) (Table 1 and Fig. 2).
Table 1.
Interleukin-18 level in all groups
| Variable | Positive control | Negative control | M100 | M200 | p a |
|---|---|---|---|---|---|
| IL-18 | 114.1+12.07 | 94.0+11.4 | 86.9+8.34 | 98.8+5.83 | <0.001 |
IL-18, interleukin-18.
One-way ANOVA test.
Figure 2.

Box plot of interleukin-18 (IL-18) level.
Due to the normal distribution of data, parametric testing was performed using One Way ANOVA. It was found that the sample that received M100 intervention had an IL-18 level of 86.9 + 8.34, which was the lowest among the other groups (Table 2). Post-Hoc Bonferroni test was then performed to assess the differences between the four groups pairwise, and it was found that there were significant differences in IL-18 levels between positive control vs. negative control and positive control vs M100 (Table 2).
Table 2.
Post-hoc analysis of interleukin-18 level
| Variable | Group | p a | Post-hoc analysis | P b | |
|---|---|---|---|---|---|
| IL-18 | Positive control | 114.1+12.07 | <0,001 | Positive control vs. negative control | 0.019 |
| Positive control vs. M100 | 0.007 | ||||
| Positive control vs. M200 | 0.123 | ||||
| Negative control | 94.0+11.4 | Negative control vs positive control | 0.019 | ||
| Negative control vs. M100 | 1.000 | ||||
| Negative control vs. M200 | 1.000 | ||||
| M100 | 86.9+8.34 | M100 vs. positive control | 0.007 | ||
| M100 vs. negative control | 1.000 | ||||
| M100 vs. M200 | 1.000 | ||||
| M200 | 98.8+5.83 | M200 vs. positive control | 0.123 | ||
| M200 vs. negative control | 1.000 | ||||
| M200 vs. M100 | 1.000 |
IL-18, interleukin-18.
One-way ANOVA test.
Post-hoc Bonferroni test.
There was no difference in NGAL among the study groups. The M200 group had an average NGAL value of 13.0+1.59 as the group with the highest level, while the positive control group had an average NGAL of 11.99+1.06 and was the group with the lowest level (Table 3 and Fig. 3).
Table 3.
Neutrophil-gelatinase-associated lipocalin level in all groups
| Variable | Positive control | Negative control | M100 | M200 | p a |
|---|---|---|---|---|---|
| NGAL | 11.99+1.06 | 12.09+1.85 | 12.75+4.11 | 13.0+1.59 | 0.805 |
NGAL, neutrophil-gelatinase-associated lipocalin.
One-way ANOVA test.
Figure 3.

Box plot of neutrophil-gelatinase-associated lipocalin (NGAL) level.
Samples that received M100 intervention had the lowest serum MPO levels compared to other groups (14.78+2.01), and there was a significant difference in MPO levels in all pairwise analyses (Table 4, Fig. 4, and Table 5).
Table 4.
Myeloperoxidase level in all groups
| Variable | Positive control | Negative control | M100 | M200 | p a |
|---|---|---|---|---|---|
| MPO | 27.,90+2.85 | 19.79+1.01 | 14.78+2.01 | 24.04+2.54 | <0.001 |
MPO, myeloperoxidase.
One-way ANOVA test.
Figure 4.

Box plot of myeloperoxidase (MPO) level.
Table 5.
Post-hoc analysis of myeloperoxidase level
| Variable | Group | p a | Post-hoc analysis | P b | |
|---|---|---|---|---|---|
| MPO | Positive control | 27.90+2.85 | <0.001 | Positive control vs. negative control | <0.001 |
| Positive control vs. M100 | <0.001 | ||||
| Positive control vs. M200 | 0.010 | ||||
| Negative control | 19.79+1.01 | Negative control vs positive control | <0.001 | ||
| Negative control vs. M100 | 0.001 | ||||
| Negative control vs. M200 | 0.004 | ||||
| M100 | 14.78+2.01 | M100 vs. positive control | <0.001 | ||
| M100 vs. negative control | 0.001 | ||||
| M100 vs. M200 | <0.001 | ||||
| M200 | 24.04+2.54 | M200 vs. positive control | 0.010 | ||
| M200 vs. negative control | 0.004 | ||||
| M200 vs. M100 | <0.001 |
MPO, myeloperoxidase.
One-way ANOVA test.
Post-hoc Bonferroni test.
There was a difference in cumulative EGTI scores among the study groups [positive 10.5 (8–11) vs. negative 9 (7–10) vs. M100 9 (7–10) vs. M200 9 (7–11); P = 0.021) (Table 6).
Table 6.
Endothelial, glomerular, tubular, and interstitial score
| Variable | Positive control | Negative control | M100 | M200 | p a |
|---|---|---|---|---|---|
| EGTI | 10.5 (8–11) | 9 (7–10) | 9 (7–10) | 9 (7–11) | 0.021 |
EGTI, endothelial, glomerular, tubular, and interstitial.
Kruskal–Wallis test.
Discussion
Kidney injury associated with ischaemia/reperfusion results from a dynamic process involving inflammation and several mediators in complex interactions. The formation of oxidative stress and lipid peroxidation seems to be a major factor driving the inflammatory process during RIRI15. A better understanding of the pathophysiology and therapeutic approaches underlying the functional defects found in ischaemic acute kidney failure will also require us to remember the complexity of the disease15.
From the results of this study, it was found that administration of metamizole 100 mg/kgBW resulted in lower IL-18 levels compared to positive control and rat group given metamizole 200 mg/kgBW. In accordance with the study by Steuber and colleagues who found that in patients given metamizole doses with minimal toxicity dose, no increase in AKI incidence was found compared to patients who did not receive metamizole. Whereas if given a dose that exceeds the minimal toxicity dose, a significant increase in AKI incidence was found. Every 1 g increase of metamizole increases the risk of drug-induced nephropathy by 1.6×. This can be explained through the mechanism of action of metamizole which blocks the synthesis of prostaglandin E2. Under conditions when the neurohormonal system is activated, prostaglandin E2 acts as a vasodilator that maintains blood flow to the kidney. Therefore, it is estimated that at a dose of 200 mg/kgBW has passed the minimal toxicity dose. Therefore, it can be concluded that administration of Metamizole 100 mg/kgBW gives optimal results to prevent RIRI events in IL-18 parameters.
In this study, there was no significant difference in NGAL levels between the study groups. Studies that explain the relationship between metamizole and NGAL have not been done much. Schulte et al. 15. showed that metamizole administration did not yield significant results, although higher levels were found compared to the group that did not receive metamizole. In that study, it was mentioned that metamizole was associated with high NGAL levels and NGAL was considered an early marker of kidney injury even at subclinical levels15. The insignificant results in NGAL levels were estimated to be due to several reasons, among others: (1) studies related to increased NGAL at 12–48 h post RIRI were conducted on mice while this study was conducted on Wistar rats, where it is suspected that increased NGAL levels require longer time; (2) In addition to being produced by injured renal tubules, NGAL can also be produced by neutrophils, which can cause bias that results in NGAL being nonspecific to RIRI events; (3) The reagents used to measure NGAL levels are currently unable to distinguish NGAL produced by renal tubules or by neutrophils16.
In this study, different levels of MPO were obtained among the research groups. It was found that the highest mean MPO was in the positive control experimental rats (27.90+2.85) and the lowest MPO level was in the research group that received metamizole 100 mg/kgBW (14.78+2.01). When a pairwise post-hoc analysis was performed, significant differences in MPO levels were found in all pairs of research groups (P < 0.05). One study by Liu et al. 17, investigated the role of MPO in RIRI and found that MPO activity increased significantly in rat kidney tissue that experienced RIRI. The results obtained in this study are similar to previous studies that showed that administration of metamizole can reduce kidney necrosis levels in RIRI cases17. In this study where low MPO levels were found after being given M100 compared to the negative control group where it can be explained through a study by Unsal and colleagues in 2018 who found that rats that underwent laparotomy had an average increase in MPO up to twice as much as rats that did not undergo laparotomy. This is reinforced by Kazmierski et al. 18 in 2022 who found that increased postoperative MPO concentrations can be associated with the body’s antioxidant capacity.
In this study, histopathology assessment was performed using the EGTI scoring system, where there was a significant difference in cumulative EGTI scores among the study groups with the lowest value in the negative control and the highest value in the positive control. Meanwhile, the administration of M100 and M200 did not have a significant difference in EGTI scoring. In ischaemic conditions, vascular changes were found where in the first two hours a decreased endothelial function could be seen. After reperfusion occurred, some peritubular capillaries could function again. However, in some other capillaries necrosis will occur and cause chronic ischaemia, where this condition will progress further and cause injury to the tubular and epithelial cells19. Until now there has been no previous study conducted to see the effect of metamizole on kidney tissue. However, another study conducted on rat ovarian tissue showed improvement with fewer dilated blood vessels, milder congestion, and less oedema20.
The feasibility to experiment on human studies is still debatable until now, but there are lots of similarities between rat models and humans21. While not a perfect match, these models offer valuable insights for several compelling reasons. Rats and humans share numerous genes and physiological processes that play pivotal roles in health and disease. This genetic likeness allows researchers to delve into genetic variations and mutations in rats, shedding light on corresponding mechanisms in humans21. Additionally, rats’ physiological similarity in terms of organ systems and processes such as the cardiovascular, nervous, endocrine, and immune systems, provides a valuable platform for understanding disease development and treatment responses that resonate with human conditions21. The rapid reproductive cycle of rats accelerates research timelines, enabling observation of disease progression and treatment outcomes in a relatively short period. Moreover, the manageability of rats in laboratory settings, owing to their smaller size, facilitates precise experimental control, enhancing the reliability of findings21. Ethically, rat models often align with ethical considerations due to their size and lifespan. While rat models aren’t exact replicas of human biology, their genetic and physiological affinities make them a valuable resource for unravelling disease mechanisms and evaluating potential therapies with implications for human health21.
Due to the very novel topic of metamizole on RIRI, our study is at a disadvantage where very limited literature is available to make comparison to. Being an animal experimental study, this finding could only provide initial evidences that requires further investigations. Future clinical trials proceeding through the formal and ethical development process should be done in order to evaluate and conclude the effect of metamizole for RIRI in humans.
Bases on our study we found that metamizole with certain dosage has the potential to provide protection to the kidney by anti-inflammatory mechanisms and reducing oxidative stress caused by ischaemic injury.
Conclusion
Metamizole administration can reduce IL-18 and MPO levels in RIRI conditions with 100 mg/kgBW, giving more optimal results but not affecting NGAL levels. Metamizole administration can reduce cumulative EGTI scores in RIRI conditions, both at doses of 100 and 200 mg/kgBW. This study shows that Metamizole can be used to prevent kidney injury in RIRI, and IL-18 and MPO can be biomarkers in predicting RIRI occurrence.
Ethical approval
Research approval was obtained from the Health Research Ethics Committee of Universitas Sumatera Utara Faculty of Medicine with Number 1193/KEP/USU/2021.
Consent
The present study followed international, national and/or institutional guidelines for humane animal treatment and complied with relevant legislation; (b) the present study involved clientowned animals and demonstrated a high standard (best practice) of veterinary care and involved informed client consent.
Source of funding
Financial support and sponsorship: none.
Author contribution
Conceptualization: D.D.K., S.M.W., J.I., E.F., I.A. Data curation: K.R., M.I. Formal analysis: D.D.K., K.R., M.I., I.A. Investigation: D.D.K., K.R., E.F. Methodology: D.D.K., S.M.W., J.I. Project administration: J.I., E.F., J.H., I.A. Resources: S.M.W., J.I. Software: D.D.K., K.R., M.I., J.H. Supervision: S.M.W., J.I., E.F., I.A. Validation: S.M.W., J.I., E.F., J.H. Writing—original draft: D.D.K., K.R., M.I. Writing—review and editing: S.M.W., J.I., E.F., J.H., I.A.
Conflicts of interest disclosure
None.
Research registration unique identifying number (UIN)
This study does not involve patients in the experimental study.
Guarantor
Dhirajaya Dharma Kadar.
Data availability statement
The data that support the findings of this study are available on request from the corresponding author.
Provenance and peer review
Not commissioned, externally peer-reviewed.
Footnotes
Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.
Published online 12 January 2024
Contributor Information
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References
- 1.Shiva N, Sharma N, Kulkarni YA, et al. Renal ischemia/reperfusion injury: an insight on in vitro and in vivo models. Life Sci 2020;256:117860. [DOI] [PubMed] [Google Scholar]
- 2.Malek M, Nematbakhsh M. Renal ischemia/reperfusion injury; from pathophysiology to treatment. J Ren Inj Prev 2015;4:20–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Edelstein CL. Biomarkers of acute kidney injury. Adv Chronic Kidney Dis 2008;15:222–234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Van Biesen W, Vanholder R, Lameire N. Defining acute renal failure: RIFLE and beyond. Clin J Am Soc Nephrol 2006;1:1314–1319. [DOI] [PubMed] [Google Scholar]
- 5.Wu H, Craft ML, Wang P, et al. IL-18 contributes to renal damage after ischemia-reperfusion. J Am Soc Nephrol 2008;19:2331–2341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Devarajan P. Update on mechanisms of ischemic acute kidney injury. J Am Soc Nephrol 2006;17:1503–1520. [DOI] [PubMed] [Google Scholar]
- 7.Munshi R, Johnson A, Siew ED, et al. MCP-1 gene activation marks acute kidney injury. J Am Soc Nephrol 2011;22:165–175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Noto A, Cibecchini F, Fanos V, et al. NGAL and metabolomics: the single biomarker to reveal the metabolome alterations in kidney injury. BioMed Res Int 2013;2013:1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Khan A, Alsahli M, Rahmani A. Myeloperoxidase as an active disease biomarker: recent biochemical and pathological perspectives. Med Sci (Basel) 2018;6:33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Khalid U, Pino-Chavez G, Nesargikar P, et al. Kidney ischaemia reperfusion injury in the rat: the EGTI scoring system as a valid and reliable tool for histological assessment. J Histol Histopathol 2016;3:1. [Google Scholar]
- 11.Bachmann F, Duthaler U, Rudin D, et al. N-demethylation of N-methyl-4-aminoantipyrine, the main metabolite of metamizole. Eur J Pharm Sci 2018;120:172–180. [DOI] [PubMed] [Google Scholar]
- 12.Sánchez S, Martín MJ, Ortiz P, et al. Effects of dipyrone on inflammatory infiltration and oxidative metabolism in gastric mucosa: Comparison with acetaminophen and diclofenac. Dig Dis Sci 2002;47:1389–1398. [DOI] [PubMed] [Google Scholar]
- 13.Kilkenny C, Browne WJ, Cuthill IC, et al. Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research. PLoS Biol 2010;8:e1000412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Keseroglu BB, Ozgur BC, Surer H, et al. Which agent should be used to reduce ischemia-reperfusion injury after testicular torsion: a comparative animal experiment. J Pediatr Urol 2019;15:607.e1–607.e7. [DOI] [PubMed] [Google Scholar]
- 15.Schulte B, Tergast TL, Griemsmann M, et al. Metamizole-associated risks in decompensated hepatic cirrhosis [Internet]. Dtsch Arztebl Int 2022;119:687–693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Mårtensson J, Bellomo R. The rise and fall of NGAL in acute kidney injury. Blood Purif 2014;37:304–310. [DOI] [PubMed] [Google Scholar]
- 17.Liu Z, Yang Q, Wei Q, et al. The protective effect of miR-377 inhibitor against renal ischemia-reperfusion injury through inhibition of inflammation and oxidative stress via a VEGF-dependent mechanism in mice. Mol Immunol 2019;106:153–158. [DOI] [PubMed] [Google Scholar]
- 18.Kaźmierski J, Miler P, Pawlak A, et al. Increased postoperative myeloperoxidase concentration associated with low baseline antioxidant capacity as the risk factor of delirium after cardiac surgery. Ann Med 2022;54:610–616. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Basile DP. The endothelial cell in ischemic acute kidney injury: implications for acute and chronic function. Kidney Int 2007;72:151–156. [DOI] [PubMed] [Google Scholar]
- 20.Kumbasar S, Salman S, Al R, et al. The effect of metamizole on ischemia/reperfusion injury in the rat ovary: an analysis of biochemistry, molecular gene expression, and histopathology. Indian J Pharmacol 2016;48:32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Szpirer C. Rat models of human diseases and related phenotypes: a systematic inventory of the causative genes. J Biomed Sci 2020;27:84. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available on request from the corresponding author.

