Next Article in Journal
Modern Imaging Techniques in the Study and Disease Diagnosis of the Mammary Glands of Animals
Previous Article in Journal
Postnatal Changes of Somatostatin Expression in Hippocampi of C57BL/6 Mice; Modulation of Neuroblast Differentiation in the Hippocampus
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Urinary 15-F2t-Isoprostane Concentrations in Dogs with Liver Disease

by
Robert Kyle Phillips
*,
Jörg M. Steiner
,
Jan S. Suchodolski
and
Jonathan A. Lidbury
Gastrointestinal Laboratory, Department of Small Animal Clinical Sciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843-4474, USA
*
Author to whom correspondence should be addressed.
Vet. Sci. 2023, 10(2), 82; https://doi.org/10.3390/vetsci10020082
Submission received: 15 December 2022 / Revised: 12 January 2023 / Accepted: 17 January 2023 / Published: 21 January 2023
(This article belongs to the Section Veterinary Internal Medicine)

Abstract

:

Simple Summary

Similar to humans, dogs are affected by a variety of liver diseases with various causes and presentations. Recently, growing interest has focused on measuring markers of oxidative stress in patients with liver disease; however, no study to date has compared markers of oxidative stress between dogs with different liver diseases. This study aimed to evaluate markers of oxidative stress in dogs with different types of liver disease by measuring a compound known as 15-F2t-isoprostane in their urine. Among dogs with one of three different types of liver diseases, only those with a congenital portosystemic shunt (CPSS) had a significant increase in this oxidative stress marker when compared with a group of healthy control dogs.

Abstract

Isoprostanes are stable end products of lipid peroxidation that can be used as markers of oxidative stress. It was previously reported that a cohort of dogs with various liver diseases had increased urinary isoprostane concentrations compared to healthy control (HC) dogs. The aim of this study was to measure and report urinary isoprostane concentrations in dogs with different types of liver diseases. Urine was collected from 21 HC dogs and from 40 dogs with liver disease, including 25 with chronic hepatitis (CH), 7 with steroid hepatopathy (SH), and 8 with a congenital portosystemic shunt (CPSS). In this prospective, observational study, urinary 15-F2t-isoprostane (F2-IsoP) concentrations were measured by liquid chromatography/mass spectrometry and normalized to urinary creatinine concentrations. Concentrations were compared between groups using a Kruskal–Wallis test followed by Dunn’s multiple comparisons tests. Significance was set at p < 0.05. The median (range) urinary F2-IsoP to creatinine ratios (ng/mg UCr) were 3.6 (2.2–12.4) for HC dogs, 5.7 (2.4–11.3) for dogs with CH, 4.8 (2.4–8.6) for dogs with SH, and 12.5 (2.9–22.9) for dogs with CPSS. CPSS dogs had significantly higher urinary F2-IsoP concentrations than HC dogs (p = 0.004), suggesting increased oxidative stress among this cohort.

1. Introduction

Oxidative stress occurs when the concentration of pro-oxidant molecules and the supply of antioxidant defenses become imbalanced [1]. Left unchecked, reactive oxygen species (ROS) may nonspecifically react with biological molecules, resulting in structural and functional damage to cells. Increased oxidative damage may be the result of an increase in the production of ROS, a decrease in the availability of antioxidant molecules or enzymes, or both [2].
Lipids, a primary target for ROS, can produce a multitude of different products of free radical chemistry [3]. The measurement of F2-isoprostanes (F2-IsoP) is considered the most reliable biomarker of lipid peroxidation in vivo [4]. F2-IsoPs are generated from the nonenzymatic, free-radical-induced oxidation of arachidonic acid and have been used to implicate the role of oxidative damage in the pathogenesis of numerous disorders such as cystic fibrosis, chronic renal insufficiency, congestive heart failure, diabetes, and pulmonary hypertension [5,6].
Focus is growing on the mechanism by which oxidative stress may be involved in the development of various liver disorders in humans, including alcoholic liver disease [7,8,9], nonalcoholic fatty liver disease [10,11,12], hepatitis C [13,14,15], and hepatic encephalopathy [16,17,18]. However, few studies have investigated the interplay between oxidative stress and liver disease in dogs [19]. One recent paper described the biomarkers of oxidative stress, including F2-IsoP, in dogs with different liver diseases undergoing a liver biopsy [20]. Urinary F2-IsoP concentrations were elevated in the single heterogenous liver disease population compared with those in healthy control dogs; however, comparisons across different liver disease cohorts were not evaluated.
Therefore, the objective of this study was to measure urinary F2-IsoP concentrations (as a marker of lipid peroxidation) in dogs with different types of liver diseases. We hypothesized that dogs with certain types of liver diseases would have increased urinary F2-IsoP concentrations when compared with those of healthy controls.

2. Materials and Methods

2.1. Animals

Client-owned dogs of any age and sex, weighing greater than 3 kg bodyweight, and presenting to the Texas A&M University Veterinary Medical Teaching Hospital (VMTH) or Gulf Coast Veterinary Specialists with a definitive diagnosis of a specific liver disease, arrived at either histologically or through diagnostic imaging, between 1 May 2019, and 30 November 2021, were prospectively enrolled into this study. In addition, during the spring and fall semesters of 2021, an additional 21 dogs owned by the faculty and staff of the VMTH were recruited as healthy controls (HC). The health of these dogs was determined by the absence of clinical signs based on owner questionnaire; physical examination; and the lack of clinically relevant abnormalities on a complete blood count, urinalysis, and serum biochemistry profile. The animal use protocol for this study was approved by the Institutional Animal Care and Use Committee of Texas A&M University (IACUC 2017-0351 and IACUC 2020-0248). Informed owner consent was obtained prior to study enrollment for all dogs.
Where clinically indicated for diseased dogs, 4 to 6 laparoscopic liver biopsy specimens were collected and submitted for routine histopathology (including rhodanine staining for copper) and for tissue copper quantification by flame atomic absorption spectrometry at the Veterinary Diagnostic Laboratory at Colorado State University (Fort Collins, CO, USA). The diagnoses of hepatic disease, based on micromorphological diagnosis by a board-certified veterinary anatomic pathologists, routine bloodwork, and diagnostic imaging (i.e., CT angiography and ultrasound interpreted by a board-certified veterinary radiologist), when available, were used to identify dogs belonging to the following three liver disease groups: chronic hepatitis (CH), steroid hepatopathy (SH), or congenital portosystemic shunt (CPSS). Basic demographic information (i.e., breed, sex, age, and weight) as well as a current medication list (including whether a dog was taking any antioxidant supplements) were collected at time of enrollment.

2.2. Sample Collection and Processing

Urine samples were collected by either free catch or cystocentesis. After centrifugation (400 rcf for 5 min at room temperature), 1 mL aliquots were made and immediately frozen at −80 °C until analysis as a single batch. F2-IsoP (specifically the 15-F2t-isoprostane isomer) was quantified by liquid chromatography/mass spectroscopy at the Eicosanoid Core Laboratory at Vanderbilt University (Nashville, TN, USA), following methods based on their published protocol [21] and outlined in Supplementary File S2. Final F2-IsoP concentrations were normalized against urinary creatinine (UCr) concentrations and reported in units ng/mg UCr.

2.3. Statistical Analysis

A power analysis was performed based on the mean urinary F2-IsoP concentrations of healthy dogs reported in an earlier study [22]. In order to achieve 90% power while detecting a conservative fourfold change in F2-IsoP concentrations among groups, the target enrollment was calculated to be 28 dogs in total (i.e., 7 dogs per group).
Shapiro–Wilk tests and visual inspection of q-q plots characterized the data as having a non-normal distribution. F2-IsoP concentrations, age, and bodyweight among groups were compared using Kruskal–Wallis tests followed by Dunn’s multiple comparisons tests, as needed. Wilcoxon exact tests were used to compare the effect of antioxidant supplementation (AOS) status, bodyweight, sex, and age on F2-IsoP concentrations within groups. Spearman’s correlation was used to assess the relationship between hepatic copper concentration (where measured) and urinary F2-IsoP concentrations. Results were calculated using a commercially available software package (Prism v.8.3.0 for Windows, GraphPad Software, San Diego, CA, USA). Significance was set at p < 0.05.

3. Results

3.1. Study Population

A total of 61 dogs were enrolled into this study: 21 HC dogs, 25 CH dogs, 7 SH dogs, and 8 CPSS dogs. The basic descriptive characteristics of healthy control dogs versus liver disease dogs are summarized in Table 1. The study population included 19 mixed-breed dogs. The most commonly represented purebred dog breeds (count) included miniature schnauzers (6), Labrador retrievers (5), Australian shepherds (3), Rhodesian ridgebacks (3), Cairn terriers (2), golden retrievers (2), Maltese (2), pugs (2), and standard poodles (2). The remaining purebred dogs included a single dog of each of the following breeds: black and tan coonhound, black Russian terrier, blue heeler, bluetick coonhound, boxer, Brittany spaniel, Chihuahua, dachshund, German shepherd, Great Dane, Old English sheepdog, rat terrier, Siberian husky, Weimaraner, and Yorkshire terrier. A visual representation of the breed makeup by liver disease group is provided in Supplementary Figure S1.
CH and SH dogs were significantly older than those in the HC group (p = 0.001, p = 0.015) or the CPSS group (p < 0.001, p = 0.001). Dogs in the CPSS group were significantly lighter than dogs in the HC group (p = 0.002). All other comparisons between groups were not significantly different (p > 0.05). Sex distribution was not associated with group (p = 0.487). These results are graphically presented in Supplementary Figures S2–S4.

3.2. Urinary 15-F2t-Isoprostane Concentrations

The median [range] F2-IsoP/UCr concentrations for each group are summarized in Supplementary Table S1. A significant increase in F2-IsoP concentration was observed when comparing the combined group (LD) of all dogs with liver disease (median: 6.2 ng/mg UCr [2.4–22.9]) with HC dogs (median: 3.6 ng/mg UCr [2.2–12.4], p = 0.001, Supplementary Figure S5). When separately considering each liver disease cohort (Figure 1), F2-IsoP concentrations were significantly higher in CPSS dogs (median: 12.5 ng/mg UCr [2.9–22.9]) than in HC dogs (p < 0.001). F2-IsoP concentrations in dogs with CH (5.7 ng/mg UCr [2.4–11.3]) and in dogs with SH (4.8 ng/mg UCr [2.4–8.6]) trended higher than those in HC dogs; however, these increases were not statistically significant (p = 0.082 and p > 0.999, respectively). Supplementary Table S2 lists the P-values for all comparisons among groups. The F2-IsoP/UCr concentrations for individual dogs are provided in Supplementary File S1.
The tissue copper quantification results for CH dogs greatly varied, ranging from 12 ppm to 3108 ppm (median: 407 ppm, Supplementary Figure S6). No correlation appeared to exist between F2-IsoP concentrations and the amount of copper measured in the liver biopsies from CH dogs (Spearman r = −0.114, p = 0.596, Figure 2).
Within each group of dogs, F2-IsoP concentrations were not significantly different for those receiving antioxidant supplementation (i.e., administration of S-adenosylmethionine, milk thistle extract, or vitamin E). Table 2 details the individual P-values for each within-group comparison.

4. Discussion

The results of this prospective study demonstrated a significant difference in the concentration of urinary F2-IsoP among HC dogs and dogs with liver disease. In particular, we found that dogs with CPSS had significantly higher urinary F2-IsoP concentrations than HC dogs.
The heterogeneity of F2-IsoP concentrations among liver disease groups observed in our study recapitulates findings in a meta-analysis of F2-IsoP concentrations in human studies across multiple pathologies. In particular, marked differences in the degree of F2-IsoP increase in patients versus healthy controls were reported depending on the specific liver disease etiology being evaluated (i.e., alcoholic liver disease > hepatitis C > nonalcoholic fatty liver disease > autoimmune hepatitis > hepatic cirrhosis) [6]. Similarly, in the current study, it appeared that of the three liver disease cohorts investigated, CPSS had a greater effect on a dog’s oxidative stress (as estimated by the measurement of urinary F2-IsoP) than either chronic hepatitis or steroid hepatopathy.
The significant elevation in F2-IsoP concentrations in the supergroup of all dogs with liver disease (LD) as compared with HC dogs mirrors the findings presented in the previous study by Barry-Heffernan et al. [20]. The present study, which included more CH dogs (25 vs. 21 dogs with “inflammatory” liver disease) and more CPSS dogs (8 vs. 2 dogs with “vascular” liver disease), was able to make comparisons among individual liver disease cohorts, wherein only the group of CPSS dogs was significantly different. While the CH dogs in our study had F2-IsoP concentrations trending higher than the HC dogs, this increase was not statistically significant at the p < 0.05 level. Comparing studies, our group of HC dogs had a slightly higher median F2-IsoP concentration versus the group of control dogs in the previous study (3.6 ng/mg UCr and 2.98 ng/mg UCr, respectively). This difference may have been one contributing factor to how their largely “inflammatory” disease-based liver disease group (21 out of 34 dogs) achieved a significant difference from their control group while our group of CH dogs did not.
Elevated plasma ammonia concentrations are associated with the development of hepatic encephalopathy (HE) in dogs [23] and people [24], but multiple other factors, including oxidative stress, may play a synergistic role with ammonia in the pathogenesis of HE [17,25]. In one study of rats with experimentally created portocaval shunts, both ammonia levels and multiple markers of oxidative stress were significantly increased six weeks after surgery as compared with those of sham-operated rats [26]. Another study in humans found that a single serum marker of oxidative stress was able to distinguish between cirrhotic patients with and without mild HE signs [27]. Oxidative stress is generally considered an important factor in the pathogenesis of chronic liver disease in dogs [28], but the role it plays in the pathogenesis of HE requires greater investigation [29]. While we did not assess signs of HE in our cohort of CPSS dogs, it would be interesting in future studies to determine if there is a correlation between urinary F2-IsoP concentrations and clinical severity of HE. It would also be valuable to see if increases in urinary F2-IsoP concentrations persist post-shunt attenuation.
Demographic characteristics (notably bodyweight or age) were significantly different across groups, but this may largely be explained by features of the underlying disease process. That is, the bodyweight of unhealthy dogs may be diminished as a reflection of their failure to thrive. Chronic conditions such as CH and SH generally affect dogs later in life. CPSS, a disorder present from birth, is frequently diagnosed earlier in life and often in smaller breed patients. An analysis of urinary F2-IsoP concentrations by individual demographic attributes showed no significant differences at p < 0.05; however, male HC and male CPSS dogs did have near-significant decreases in urinary F2-IsoP concentrations when compared with females within the same cohort (p = 0.051 and p = 0.071, respectively). Interestingly, this observation runs contrary to the generally established paradigm in humans and rats that male subjects tend to have greater oxidative stress than female subjects [30,31].
No clear evidence for a difference in urinary F2-IsoP concentration was appreciated among the dogs in this study who were on supplementation with hepatic cytoprotective agents, including antioxidants, versus dogs who were not supplemented. Indeed, the efficacy of antioxidant therapy as assessed by biomarkers of oxidative stress remains a highly controversial topic. While many researchers remain optimistic about the utility of antioxidant supplementation (AOS) [19,32,33], others have reported a more guarded outlook [1,34,35]. To maximize success, the current AOS philosophy calls for increased precision in the field of antioxidant pharmacology, purposefully selecting AOS agents and dosages that are geared toward effectively targeting specific ROS within specific tissues in vivo as compared with a more imprecise, monotherapy approach [36]. Biomarkers of oxidative stress, such as F2-IsoP, may yet help clinicians achieve this targeted approach.
This study had several limitations. First, for some of our liver disease groups (namely SH dogs and CPSS dogs), we achieved the bare minimum sample size based on a power analysis. A larger study that also includes numerous enrollees with other liver disease etiologies (e.g., acute liver injury, hepatic neoplasia, nonhepatic disease, and copper-associated chronic hepatitis) would serve to broaden the scope of the findings reported here. Second, the HC enrolled in this study were not age- or breed-matched. However, this would have been challenging, as the age/breed distribution for each type of liver disease was different. Third, the single urine sample we collected from each dog only allowed for the quantification of oxidative stress levels at a single point in time. One study looking at urinary F2-IsoP concentrations in healthy humans (n = 13) found the day-to-day variation to be 42% over 10 consecutive days [37]. For any future studies, collecting multiple samples at different timepoints could serve to mitigate this variability and, with a longitudinal design, could be structured to assess changes in oxidative stress over the course of treatment. Furthermore, the exact method of urine collection in this study (by free-catch or by cystocentesis) was neither standardized across patients nor consistently recorded in the patients’ medical records. While we do not think there is any effect on urinary F2-IsoP concentration based on urine collection method, to be fully confident, this variable should be purposefully investigated in a future study. Fourth, as we did not control for medication use, the effect of medical treatment on urinary F2-IsoP concentrations, especially S-adenosylmethionine, milk thistle extract, or vitamin E supplementation, cannot be easily teased out. While there was no significant difference in the urinary F2-IsoP concentrations between dogs on or off AOS within groups, it may be the case that AOS treatment was disproportionately reserved for patients with more severe disease, thus obscuring our ability to judge how effective AOS is at ameliorating oxidative stress. We did re-analyze our data after excluding all dogs receiving AOS (data not shown) only to arrive at the same overall conclusion: only the comparison between CPSS dogs and HC dogs showed a significant difference in urinary F2-IsoP concentration (p = 0.003).

5. Conclusions

We conclude that dogs with CPSS had increased urinary F2-IsoP concentrations compared with HC dogs, suggesting increased oxidative stress. If these findings are confirmed in a larger group of dogs, this may prove useful in focusing in on which liver disease patients are most in need of antioxidant therapy.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/vetsci10020082/s1, Figure S1: Representation of the number of dogs from each dog breed in the study and their distribution by cohort; Figure S2: Age of study dogs across groups; Figure S3: Weight of study dogs across groups; Figure S4: Representation of the number of study dogs of each sex and their distribution by cohort; Figure S5: Concentrations of 15-F2t-isoprostane (ng/mg urinary creatinine) in the urine of healthy control (HC) dogs and single, combined group of dogs with liver disease (LD); Figure S6: Tissue copper quantification from liver biopsies taken from dogs with chronic hepatitis (CH); Table S1: Median concentrations of 15-F2t-isoprostane (ng/mg UCr) in the urine of healthy dogs and dogs with liver disease; Table S2: P-values of all comparisons of urinary 15-F2t-isoprostane concentrations between groups; File S1: Individual urinary 15-F2t-isoprostane concentrations (ng/mg urinary creatinine) for each study dog grouped by cohort; File S2: Sample preparation and acquisition parameters for LC-MS-based analysis of urinary 15-F2t-isoprostane concentrations.

Author Contributions

Conceptualization, R.K.P., J.M.S., J.S.S. and J.A.L.; methodology, R.K.P. and J.A.L.; software, R.K.P.; validation, R.K.P.; formal analysis, R.K.P.; investigation, R.K.P.; resources, J.M.S., J.S.S. and J.A.L.; data curation, R.K.P.; writing—original draft preparation, R.K.P.; writing—review and editing, R.K.P., J.M.S., J.S.S. and J.A.L.; visualization, R.K.P.; supervision, J.M.S., J.S.S. and J.A.L.; project administration, R.K.P. and J.A.L.; funding acquisition, J.M.S., J.S.S. and J.A.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The animal study protocol was approved by the Institutional Animal Care and Use Committee of Texas A&M University (IACUC 2017-0351 and IACUC 2020-0248; approved 1 December 2017 and 29 October 2020, respectively).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available either within the article or as Supplementary Materials.

Acknowledgments

We would like to thank the Eicosanoid Core Laboratory at Vanderbilt University (Nashville, TN, USA) for performing isoprostane analysis. Additionally, we are thankful for the patients enrolled by our collaborators at Gulf Coast Veterinary Specialists (Houston, TX). These data were presented as an oral abstract at the 2022 ACVIM Forum in Austin, TX.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Forman, H.J.; Zhang, H. Targeting oxidative stress in disease: Promise and limitations of antioxidant therapy. Nat. Rev. Drug Discov. 2021, 20, 689–709. [Google Scholar] [CrossRef] [PubMed]
  2. Murphy, M.P.; Bayir, H.; Belousov, V.; Chang, C.J.; Davies, K.J.A.; Davies, M.J.; Dick, T.P.; Finkel, T.; Forman, H.J.; Janssen-Heininger, Y.; et al. Guidelines for measuring reactive oxygen species and oxidative damage in cells and in vivo. Nat. Metab. 2022, 4, 651–662. [Google Scholar] [CrossRef] [PubMed]
  3. Yin, H.; Xu, L.; Porter, N.A. Free radical lipid peroxidation: Mechanisms and analysis. Chem. Rev. 2011, 111, 5944–5972. [Google Scholar] [CrossRef] [PubMed]
  4. Montuschi, P.; Barnes, P.; Jackson Roberts, L. Insights into oxidative stress: The isoprostanes. Curr. Med. Chem. 2007, 14, 703–717. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Milne, G.L.; Musiek, E.S.; Morrow, J.D. F2-Isoprostanes as markers of oxidative stress in vivo: An overview. Biomarkers 2005, 10, 10–23. [Google Scholar] [CrossRef]
  6. van’t Erve, T.J.; Kadiiska, M.B.; London, S.J.; Mason, R.P. Classifying oxidative stress by F2-isoprostane levels across human diseases: A meta-analysis. Redox Biol. 2017, 12, 582–599. [Google Scholar] [CrossRef]
  7. Cederbaum, A.I.; Lu, Y.; Wu, D. Role of oxidative stress in alcohol-induced liver injury. Arch. Toxicol. 2009, 83, 519–548. [Google Scholar] [CrossRef]
  8. Ceni, E.; Mello, T.; Galli, A. Pathogenesis of alcoholic liver disease: Role of oxidative metabolism. World J. Gastroenterol. 2014, 20, 17756–17772. [Google Scholar] [CrossRef]
  9. Yang, Y.M.; Cho, Y.E.; Hwang, S. Crosstalk between oxidative stress and inflammatory liver injury in the pathogenesis of alcoholic liver disease. Int. J. Mol. Sci. 2022, 23, 774. [Google Scholar] [CrossRef]
  10. Seki, S.; Kitada, T.; Yamada, T.; Sakaguchi, H.; Nakatani, K.; Wakasa, K. In situ detection of lipid peroxidation and oxidative DNA damage in non-alcoholic fatty liver diseases. J. Hepatol. 2002, 37, 56–62. [Google Scholar] [CrossRef]
  11. Videla, L.A.; Rodrigo, R.; Orellana, M.; Fernandez, V.; Tapia, G.; Quiñones, L.; Varela, N.; Contreras, J.; Lazarte, R.; Csendes, A.; et al. Oxidative stress-related parameters in the liver of non-alcoholic fatty liver disease patients. Clin. Sci. 2004, 106, 261–268. [Google Scholar] [CrossRef] [Green Version]
  12. Rolo, A.P.; Teodoro, J.S.; Palmeira, C.M. Role of oxidative stress in the pathogenesis of nonalcoholic steatohepatitis. Free. Rad. Biol. Med. 2012, 52, 59–69. [Google Scholar] [CrossRef] [PubMed]
  13. Choi, J.; Ou, J.-H.J. Mechanisms of Liver Injury. III. Oxidative stress in the pathogenesis of hepatitis C virus. Am. J. Physiol. Gastrointest Liver Physiol. 2006, 290, G847–G851. [Google Scholar] [CrossRef] [PubMed]
  14. Paracha, U.Z.; Fatima, K.; Alqahtani, M.; Chaudhary, A.; Abuzenadah, A.; Damanhouri, G.; Qadri, I. Oxidative stress and hepatitis C virus. Virol. J. 2013, 10, 251. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Salomone, F.; Petta, S.; Micek, A.; Pipitone, R.M.; Distefano, A.; Castruccio Castracani, C.; Rini, F.; Di Rosa, M.; Gardi, C.; Calvaruso, V.; et al. Hepatitis C virus eradication by direct antiviral agents abates oxidative stress in patients with advanced liver fibrosis. Liver Int. 2020, 40, 2820–2827. [Google Scholar] [CrossRef] [PubMed]
  16. Norenberg, M.D.; Jayakumar, A.R.; Rama Rao, K.V. Oxidative stress in the pathogenesis of hepatic encephalopathy. Metab. Brain Dis. 2004, 19, 313–329. [Google Scholar] [CrossRef]
  17. Seyan, A.S.; Hughes, R.D.; Shawcross, D.L. Changing face of hepatic encephalopathy: Role of inflammation and oxidative stress. World J. Gastroenterol. 2010, 16, 3347–3357. [Google Scholar] [CrossRef]
  18. Simicic, D.; Cudalbu, C.; Pierzchala, K. Overview of oxidative stress findings in hepatic encephalopathy: From cellular and ammonium-based animal models to human data. Anal. Biochem. 2022, 654, 114795. [Google Scholar] [CrossRef]
  19. Webb, C.; Twedt, D. Oxidative stress and liver disease. Vet. Clin. N. Am. Small Anim. Pract. 2008, 38, 125–135. [Google Scholar] [CrossRef]
  20. Barry-Heffernan, C.; Ekena, J.; Dowling, S.; Pinkerton, M.E.; Viviano, K. Biomarkers of oxidative stress as an assessment of the redox status of the liver in dogs. J. Vet. Intern. Med. 2019, 33, 611–617. [Google Scholar] [CrossRef]
  21. Milne, G.L.; Sanchez, S.C.; Musiek, E.S.; Morrow, J.D. Quantification of F2-isoprostanes as a biomarker of oxidative stress. Nat. Protoc. 2007, 2, 221–226. [Google Scholar] [CrossRef] [PubMed]
  22. Soffler, C.; Campbell, V.L.; Hassel, D.M. Measurement of urinary F2-isoprostanes as markers of in vivo lipid peroxidation: A comparison of enzyme immunoassays with gas chromatography–mass spectrometry in domestic animal species. J. Vet. Diagn. Investig. 2010, 22, 200–209. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Matthews, S.A. Ammonia, a causative factor in meat poisoning in Eck-fistula dogs. In: Proceedings of the American Physiological Society. Am. J. Physiol. 1922, 59, 459–460. [Google Scholar] [CrossRef] [Green Version]
  24. Bessman, S.P.; Bessman, A.N. The cerebral and peripheral uptake of ammonia in liver disease with an hypothesis for the mechanism of hepatic coma. J. Clin. Investig. 1955, 34, 622–628. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Görg, B.; Qvartskhava, N.; Bidmon, H.-J.; Palomero-Gallagher, N.; Kircheis, G.; Zilles, K.; Häussinger, D. Oxidative stress markers in the brain of patients with cirrhosis and hepatic encephalopathy. Hepatology 2010, 52, 256–265. [Google Scholar] [CrossRef] [Green Version]
  26. Carbonero-Aguilar, P.; Diaz-Herrero, M.d.M.; Cremades, O.; Romero-Gómez, M.; Bautista, J. Brain biomolecules oxidation in portacaval-shunted rats. Liver Int. 2011, 31, 964–969. [Google Scholar] [CrossRef]
  27. Montoliu, C.; Cauli, O.; Urios, A.; ElMlili, N.; Serra, M.A.; Giner-Duran, R.; González-Lopez, O.; Del Olmo, J.A.; Wassel, A.; Rodrigo, J.M.; et al. 3-nitro-tyrosine as a peripheral biomarker of minimal hepatic encephalopathy in patients with liver cirrhosis. Am. J. Gastroenterol. 2011, 106, 1629–1637. [Google Scholar] [CrossRef]
  28. Yamkate, P.; Lidbury, J.A.; Steiner, J.M.; Suchodolski, J.S.; Giaretta, P.R. Immunohistochemical expression of oxidative stress and apoptosis markers in archived liver specimens from dogs with chronic hepatitis. J. Comp. Pathol. 2022, 193, 25–36. [Google Scholar] [CrossRef]
  29. Lidbury, J.A.; Cook, A.K.; Steiner, J.M. Hepatic encephalopathy in dogs and cats. J. Vet. Emerg. Crit. Car. 2016, 26, 471–487. [Google Scholar] [CrossRef]
  30. Ide, T.; Tsutsui, H.; Ohashi, N.; Hayashidani, S.; Suematsu, N.; Tsuchihashi, M.; Tamai, H.; Takeshita, A. Greater oxidative stress in healthy young men compared with premenopausal women. Arter. Thromb. Vasc. Biol. 2002, 22, 438–442. [Google Scholar] [CrossRef]
  31. Borrás, C.; Sastre, J.; García-Sala, D.; Lloret, A.; Pallardó, F.V.; Viña, J. Mitochondria from females exhibit higher antioxidant gene expression and lower oxidative damage than males. Free. Rad. Biol. Med. 2003, 34, 546–552. [Google Scholar] [CrossRef] [PubMed]
  32. Gambino, R.; Musso, G.; Cassader, M. Redox balance in the pathogenesis of nonalcoholic fatty liver disease: Mechanisms and therapeutic opportunities. Antioxid. Redox Signal. 2010, 15, 1325–1365. [Google Scholar] [CrossRef] [PubMed]
  33. Aghemo, A.; Alekseeva, O.P.; Angelico, F.; Bakulin, I.G.; Bakulina, N.V.; Bordin, D.; Bueverov, A.O.; Drapkina, O.M.; Gillessen, A.; Kagarmanova, E.M.; et al. Role of silymarin as antioxidant in clinical management of chronic liver diseases: A narrative review. Ann. Med. 2022, 54, 1548–1560. [Google Scholar] [CrossRef]
  34. Cichoż-Lach, H.; Michalak, A. Oxidative stress as a crucial factor in liver diseases. World J. Gastroenterol. 2014, 20, 8082–8091. [Google Scholar] [CrossRef]
  35. Viviano, K.R.; VanderWielen, B. Effect of N-acetylcysteine supplementation on intracellular glutathione, urine isoprostanes, clinical score, and survival in hospitalized ill dogs. J. Vet. Intern. Med. 2013, 27, 250–258. [Google Scholar] [CrossRef] [PubMed]
  36. Meng, J.; Lv, Z.; Zhang, Y.; Wang, Y.; Qiao, X.; Sun, C.; Chen, Y.; Guo, M.; Han, W.; Ye, A.; et al. Precision redox: The key for antioxidant pharmacology. Antioxid. Redox Signal. 2020, 34, 1069–1082. [Google Scholar] [CrossRef] [PubMed]
  37. Helmersson, J.; Basu, S. F2-isoprostane and prostaglandin F metabolite excretion rate and day-to-day variation in healthy humans. Prostaglandins Leukot. Essent. Fat. Acids 2001, 65, 99–102. [Google Scholar] [CrossRef]
Figure 1. Concentrations of 15-F2t-isoprostane (ng/mg UCr) in the urine of healthy dogs and dogs with CH, SH, or CPSS. The median of each group is represented by a red line. Asterisks (***) represent a significant difference at p < 0.001. All other comparisons between groups were not significantly different at p = 0.05. Abbreviations: HC, healthy controls; CH, chronic hepatitis; SH, steroid hepatopathy; CPSS, congenital portosystemic shunt; UCr, urinary creatinine.
Figure 1. Concentrations of 15-F2t-isoprostane (ng/mg UCr) in the urine of healthy dogs and dogs with CH, SH, or CPSS. The median of each group is represented by a red line. Asterisks (***) represent a significant difference at p < 0.001. All other comparisons between groups were not significantly different at p = 0.05. Abbreviations: HC, healthy controls; CH, chronic hepatitis; SH, steroid hepatopathy; CPSS, congenital portosystemic shunt; UCr, urinary creatinine.
Vetsci 10 00082 g001
Figure 2. XY-plot of tissue copper quantification and urinary 15-F2t-Isoprostane concentration among dogs in chronic hepatitis group. No correlation was observed between variables (Spearman r = −0.114, p = 0.596). Gray area represents normal tissue copper concentration range (120–400 ppm).
Figure 2. XY-plot of tissue copper quantification and urinary 15-F2t-Isoprostane concentration among dogs in chronic hepatitis group. No correlation was observed between variables (Spearman r = −0.114, p = 0.596). Gray area represents normal tissue copper concentration range (120–400 ppm).
Vetsci 10 00082 g002
Table 1. Signalment, bodyweight, breed distribution, and antioxidant supplementation status of healthy control dogs and dogs with CH, SH, or CPSS. Age and bodyweights are reported as medians [ranges].
Table 1. Signalment, bodyweight, breed distribution, and antioxidant supplementation status of healthy control dogs and dogs with CH, SH, or CPSS. Age and bodyweights are reported as medians [ranges].
VariableHCCHSHCPSS
Number (n=)212578
Age (years)4 [1.5–9]8.6 [1–13]9.4 [6–11]2 [1–6]
Weight (kg)29.5 [12.7–43.6]21.8 [2.9–51.2]17.6 [3.3–53.4]6.2 [4.4–24.6]
Male (N/I)11 (9/2)11 (11/0)3 (3/0)2 (1/1)
Female (S/I)10 (8/2)14 (13/1)4 (4/0)6 (5/1)
Purebred/Mix12/918/75/27/1
AOS, Yes/No0/2116/92/51/7
Abbreviations: HC, healthy controls; CH, chronic hepatitis; SH, steroid hepatopathy; CPSS, congenital portosystemic shunt; I, intact; N, neutered; S, spayed; AOS, antioxidant supplementation.
Table 2. Comparisons of within-group effect of antioxidant supplementation status, bodyweight, sex, and age on median urinary 15-F2t-isoprostane concentrations (ng/mg UCr).
Table 2. Comparisons of within-group effect of antioxidant supplementation status, bodyweight, sex, and age on median urinary 15-F2t-isoprostane concentrations (ng/mg UCr).
HCCHSHCPSS
nMed.Rangep-ValuenMed.Rangep-ValuenMed.Rangep-ValuenMed.Rangep-Value
AOSYes0n.d. an.d. an.d. a166.772.42–11.290.67723.483.07–3.880.381117.5517.55–17.550.500
No213.562.17–12.4395.552.81–9.0655.962.39–8.61712.422.92–22.90
BW<25 kg73.633.24–5.580.44310 b6.192.78–10.220.860 b53.882.39–8.610.381812.497.3–22.9n.d. c
≥25 kg143.392.17–12.435 b5.552.81–8.5326.835.96–7.700n.d. cn.d. c
SexM113.292.17–4.780.051115.552.81–11.290.53633.882.39–4.840.22925.112.92–7.300.071
F103.762.48–12.43145.952.42–9.0646.833.07–8.61612.8911.29–22.90
Age<6 yr.183.582.17–12.430.53476.182.78–11.290.8830n.d. dn.d. dn.d. d712.492.92–22.91.000
≥6 yr.33.562.48–3.63185.632.42–10.2274.842.39–8.61112.4212.42–12.42
Abbreviations: HC, healthy controls; CH, chronic hepatitis; SH, steroid hepatopathy; CPSS, congenital portosystemic shunt; AOS, antioxidant supplementation; BW, bodyweight; Med., median; M, male; F, female; yr., years; n.d., not determined; UCr, urinary creatinine. a Lack of any HC dogs on antioxidant supplementation. b Bodyweights not available for 10 CH dogs. c All CPSS dogs weighed under 25 kg. d No SH dogs were younger than 6 years old.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Phillips, R.K.; Steiner, J.M.; Suchodolski, J.S.; Lidbury, J.A. Urinary 15-F2t-Isoprostane Concentrations in Dogs with Liver Disease. Vet. Sci. 2023, 10, 82. https://doi.org/10.3390/vetsci10020082

AMA Style

Phillips RK, Steiner JM, Suchodolski JS, Lidbury JA. Urinary 15-F2t-Isoprostane Concentrations in Dogs with Liver Disease. Veterinary Sciences. 2023; 10(2):82. https://doi.org/10.3390/vetsci10020082

Chicago/Turabian Style

Phillips, Robert Kyle, Jörg M. Steiner, Jan S. Suchodolski, and Jonathan A. Lidbury. 2023. "Urinary 15-F2t-Isoprostane Concentrations in Dogs with Liver Disease" Veterinary Sciences 10, no. 2: 82. https://doi.org/10.3390/vetsci10020082

APA Style

Phillips, R. K., Steiner, J. M., Suchodolski, J. S., & Lidbury, J. A. (2023). Urinary 15-F2t-Isoprostane Concentrations in Dogs with Liver Disease. Veterinary Sciences, 10(2), 82. https://doi.org/10.3390/vetsci10020082

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop