Hemodialysis and Plasma Oxylipin Biotransformation in Peripheral Tissue
by
,
Tong Liu
1
,
Inci Dogan
2,
Michael Rothe
2,
Julius V. Kunz
3,
Felix Knauf
3,
Maik Gollasch
1,4,
Friedrich C. Luft
1 and
Benjamin Gollasch
1,5,* 1
Experimental and Clinical Research Center (ECRC), Charité Medical Faculty and Max Delbrück Center (MDC) for Molecular Medicine, 13125 Berlin, Germany
2
LIPIDOMIX GmbH, Robert-Rössle-Str. 10, 13125 Berlin, Germany
3
Department of Nephrology and Medical Intensive Care, Charité—Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
4
Department of Internal Medicine and Geriatrics, University Medicine Greifswald, 17475 Greifswald, Germany
5
HELIOS Klinikum Berlin-Buch, Schwanebecker Chaussee 50, 13125 Berlin, Germany
*
Author to whom correspondence should be addressed.
Metabolites 2022, 12(1), 34; https://doi.org/10.3390/metabo12010034
Submission received: 15 December 2021
/
Revised: 30 December 2021
/
Accepted: 30 December 2021
/
Published: 4 January 2022
(This article belongs to the Section Lipid Metabolism)
Abstract
:Factors causing the increased cardiovascular morbidity and mortality in hemodialysis (HD) patients are largely unknown. Oxylipins are a superclass of lipid mediators with potent bioactivities produced from oxygenation of polyunsaturated fatty acids. We previously assessed the impact of HD on oxylipins in arterial blood plasma and found that HD increases several oxylipins. To study the phenomenon further, we now evaluated the differences in arterial and venous blood oxylipins from patients undergoing HD. We collected arterial and venous blood samples in upper extremities from 12 end-stage renal disease (ESRD) patients before and after HD and measured oxylipins in plasma by LC-MS/MS tandem mass spectrometry. Comparison between cytochrome P450 (CYP), lipoxygenase (LOX), and LOX/CYP ω/(ω-1)-hydroxylase metabolites levels from arterial and venous blood showed no arteriovenous differences before HD but revealed arteriovenous differences in several CYP metabolites immediately after HD. These changes were explained by metabolites in the venous blood stream of the upper limb. Decreased soluble epoxide hydrolase (sEH) activity contributed to the release and accumulation of the CYP metabolites. However, HD did not affect arteriovenous differences of the majority of LOX and LOX/CYP ω/(ω-1)-hydroxylase metabolites. The HD treatment itself causes changes in CYP epoxy metabolites that could have deleterious effects in the circulation.
Keywords:
hemodialysis; eicosanoids; lipidomics; oxylipins; erythrocyte; arterio-venous; biotransformation
1. Introduction
Survival rates among end-stage renal disease (ESRD) hemodialysis (HD) patients are poor, and excess death rate is related to cardiovascular disease [1,2]. Lipids are essential for many functions in the body, where they serve as integral components for cellular membranes as well as energy storage and signaling molecules [3]. Polyunsaturated fatty acids (PUFA) are metabolized by different enzymes, mainly cytochromes P450 (CYP), monooxygenase, cyclooxygenase (COX), and lipoxygenase (LOX)/CYP ω/(ω-1)-hydroxylase pathways, which can produce a large superclass of biologically active substances, namely oxylipins (Figure 1).
Arachidonic acid (AA)-derived oxylipins, especially those derived from the CYP450 pathway, produce vasodilation and exhibit pro-angiogenic, anti-inflammatory, and cardioprotective effects [5]. Docosahexaenoic acid (DHA)-derived 19, 20-epoxydocosapentaenoic acid (EDP) and eicosapentaenoic acid (EPA)-derived 17, 18-epoxyeicosatetraenoic acid (EEQ) exert anti-arrhythmic effects by inhibiting Ca+ and isoproterenol-induced increase in cardiomyocyte contractility [6]. Beyond, many biological functions of this large group of widely still unknown lipids are undiscovered. Moreover, the main metabolic pathway of oxylipins is that a major part is hydrolyzed by soluble epoxide hydrolase (sEH) to biologically less-active diols [7]. The other part is re-esterified into phospholipids as a temporary storage pool of oxylipins that can be rapidly mobilized to exert biological effects when the organism receives a stimulus [8]. Another important source of circulating esterified oxylipins are lipoprotein-bound oxylipins, for example, very low-density lipoproteins (VLDL), which bind to cell surface lipoprotein lipases when they reach tissue cells [9]. In any case, esterification is important both in also removing free oxylipins signals and in enabling direct effects of esterified oxylipins. Currently, their specific mechanisms of action are largely unknown.
In previous studies, we established the lipidomics approach for the analysis of oxylipins in human blood. We demonstrated that there are specific patterns of oxylipins profiles in peripheral blood released during short-term maximal cardiovascular stress (stress ergometry) that may influence cardiovascular function [10,11]. We also observed that hemodialysis treatment increased plasma levels of CYP epoxy-metabolites but did not change the majority of LOX/CYP ω/(ω-1)-hydroxylase metabolites [4]. The changes primarily affected esterified metabolites, whereas no significant differences were observed in free metabolites [4].
The arteriovenous oxygen difference is the difference in the oxygen content of the blood between the arterial blood and the venous blood. Knowing this difference aids in clinical diagnostics of how much oxygen is removed from the blood in capillaries as the blood circulates in the body. Uremic patients undergoing hemodialysis present pre-HD with high ammonia levels in arterial blood with a significantly positive arteriovenous difference [12]. The arteriovenous blood sugar content is due to the fact that the peripheral tissues, especially the muscles, either store or burn part of the glucose that passes through them [13]. The same is true for non-esterified fatty acids [14], which can develop positive or negative arteriovenous differences depending on patient’s physical or health status and organs perfused [13,14]. Moreover, arteriovenous differences in plasma NO2− levels (as an index of endothelial nitric oxide (NO) formation) can detected in NO2− loading conditions and exercise [15].
To gain information on lipid biotransformation, we collected arterial and venous blood samples in upper extremities from ESRD patients and tested the hypothesis that hemodialysis affects the arteriovenous difference of these metabolites (Figure 2). We performed the experiments to better understand biotransformation of the metabolites in vivo, particularly whether or not the peripheral tissues, especially the muscles in the upper limbs, either produce, store, or degrade part of the epoxy-metabolites that pass through them. We were particularly interested to clarify which arteriovenous relationships are present in plasma oxylipin profiles during hemodialysis and in what way they are modified by extracorporeal renal replacement therapy, which causes oxidative stress, chronic inflammation, and red blood cell–endothelial interactions (cf. circled arrows in Figure 2).
2. Results
2.1. Clinical Characteristics
The clinical features of ESRD hemodialysis (HD) patients are summarized in Table 1. The patients had focal segmental glomerulosclerosis (six patients), ADPKD (autosomal dominant polycystic kidney disease) (one patient), IgA nephropathy (one patient), hypertensive nephropathy (one patient), renal amyloidosis (one patient), drug-induced kidney injury (one patient), and cystic kidneys (one patient). All patients had major cardiovascular complications, such as cardiovascular and cerebrovascular events, and/or peripheral artery disease. Table S1 shows that the patients were not diabetic but had hyperlipidemia.
2.2. Effects of Hemodialysis
2.2.1. Pre-HD
The effects of hemodialysis treatment on plasma oxylipins in our patients are shown (Table 2 and Table S2). With exception of 11-HETE and 13-HODE, comparison between total CYP, LOX and LOX/CYP ω/(ω-1)-hydroxylase metabolites levels from arterial and venous blood showed no arteriovenous differences before HD treatment (pre-HD), i.e., the levels of individual CYP epoxy-metabolites were not significantly different in arterial vs. venous blood (Table 2). These metabolites included 5,6-EET, 8,9-EET, 11,12-EET, 14,-15-EET, 5,6-DHET, 8,9-DHET, 11,12-DHET, 14,15-DHET, 7,8-EDP, 10,11-EDP, 13,14-EDP, 16,17-EDP, 19,20-EDP, 7,8-DiHDPA, 10,11-DiHDPA, 13,14-DiHDPA, 16,17-DiHDPA, 19,20-DiHDPA, 5,6-EEQ, 8,9-EEQ, 11,12-EEQ, 14,15-EEQ, 17,18-EEQ, 5,6-DiHETE, 8,9-DiHETE, 11,12-DiHETE, 14,15-DiHETE, 17,18-DiHETE, 9,10-EpOME, 12,13-EpOME, 9,10-DiHOME, 12,13-DiHOME, 5-HETE, 8-HETE, 9-HETE, 12-HETE, 15-HETE, 4-HDHA, 7-HDHA, 8-HDHA, 10-HDHA, 11-HDHA, 13-HDHA, 14-HDHA, 16-HDHA, 17-HDHA, 20-HDHA, 5-HEPE, 8-HEPE, 9-HEPE, 11-HEPE, 12-HEPE, 15-HEPE, 18-HEPE, 9-HODE, 16-HETE, 17-HETE, 18-HETE, 19-HETE, 20-HETE, 22-HDHA, and 20-HEPE (Table 2).
Figure 1 shows that the main pathway of EET, EpOME, EEQ, and EDP biotransformation in many cells is conversion to DHETs, DiHOMEs, DiHETEs, and DiHDPAs. This is achieved by the soluble epoxide hydrolase enzyme (sEH). Since ESRD might have caused EET, EpOME, EEQ, and EDP production rapidly degraded to their diols, we next analyzed the sums of the individual CYP epoxy-metabolites and their diols (Table 3). We found that ESRD was not associated with differences in the sums in arterial vs. venous blood; i.e., there was no arteriovenous differences in the total levels of the metabolites (Table 3). Moreover, we calculated diol/epoxide ratios of the epoxy-metabolites (Table 3) and found that the four classes of epoxy-metabolites are unequally hydrolyzed to appear in the arterial circulation. We found that EEQs are better metabolized into their diols (ratio of DiHETEs/EEQs; 0.6541 ± 0.4424) than EETs, EDPs, and EPOMEs (ratios of those diols/epoxy-metabolites, 0.1104 ± 0.0878, 0.1369 ± 0.1095, and 0.2017 ± 0.0845, respectively; Dunn’s multiple comparison test, p > 0.05) (Table 3). In fact, the following order of ratios was identified: DiHETEs/EEQs > DiHOMEs/EpOMEs = DiHDPA/EDPs = DHETs/EETs (Dunn’s multiple comparison test, p < 0.05). This pattern was also found for the individual metabolites in the venous blood, as shown (Table 3). Together, the findings indicate that CYP epoxy-metabolites are unequally hydrolyzed by sEH in arterial and venous blood in vivo [4]. However, there is no arteriovenous difference in the epoxy-metabolites before hemodialysis.
2.2.2. Post-HD
Similar to our previous study [4], hemodialysis treatment caused an increase in a number of epoxy-metabolites in arterial blood, including 5,6-EET, 8,9-EET, 11,12-EET,14,15-EET, 8,9-EEQ, 11,12-EEQ, 9,10-EpOME, 12,13-EpOME, 9-HODE, and 13-HODE. The levels of other CYP, LOX, and LOX/CYP ω/(ω−1)-hydroxylase metabolites were unchanged (Table S2A).
However, the effects were more obvious in venous blood. Here, we first compared the individual CYP epoxy-metabolites and their diols (Table S2B). We observed that hemodialysis increased 5,6-EET, 8,9-EET, 11,12-EET, 14,15-EET, 5,6-DHET, 8,9-DHET, 7,8-EDP, 10,11-EDP, 13,14-EDP, 16,17-EDP, 19,20-EDP, 5,6-EEQ, 8,9-EEQ, 11,12-EEQ, 14,15-EEQ, 17,18-EEQ, 5,6-DiHETE, 9,10-EPOME, 12,13-EPOME, 9,10-DiHOME, 12,13-DiHOME, 5-HETE, 12-HETE, 12-HEPE, 9-HODE, 13-HODE, and 22-HDHA levels in venous blood (Table S2B). The levels of other CYP, LOX, and LOX/CYP ω/(ω−1)-hydroxylase metabolites were unchanged (Table S2B). As next step, we calculated the sums of the individual CYP epoxy-metabolites and their diols (Table 3) and compared the levels between arterial and venous blood (Table 3). The data show that the four classes of CYP metabolites (i.e., EET, EpOME, EEQ, and EDP plus their respective diols) were more prominently accumulated in venous blood compared to arterial blood (Table 3); i.e., we detected negative arteriovenous differences in 5,6-EET, 8,9-EET, 11,12-EET, 14,15-EET, 8,9-DHET, 11,12-DHET, 7,8-EDP, 10,11-EDP, 14,15-EDP, 16,17-EDP, 19,20-EDP, 7,8-DiHDPA, 10,11-DiHDPA, 5,6-EEQ, 8,9-EEQ, 11,12-EEQ, 14,15-EEQ, 17,18-EEQ, 9,10-EPOME, 12,13-EPOME, 12-HETE, and 17-HDHA (Table 2). This decrease was not seen for free epoxy-metabolites, with the exception of 5,6-DiHETE and 14,15-EET (Table 4). Thus, it is unlikely that the decrease in arteriovenous differences of total epoxy-metabolites is caused by metabolites in free state. The arteriovenous differences of other CYP, LOX, and LOX/CYP ω/(ω−1)-hydroxylase metabolites were unchanged (Table 2).
Together, the findings indicate that hemodialysis increases all four classes of CYP eicosanoids, particularly in venous blood, to cause negative arteriovenous differences of a number of CYP metabolites after the dialysis treatment (post-HD).
2.3. Diol/Epoxide Ratios and sEH Activity
To clarify possible mechanisms underlying this preferred increase in venous blood, we calculated diol/epoxide ratios of the eicosanoids (Table S3). Our analysis of sums of the individual CYP epoxy-metabolites and their diols demonstrated increased accumulation of all four classes of CYP epoxy-metabolites (5,6-EET + 5,6-DHET, 8,9-EET + 8,9-DHET, 11,12-EET + 11,12-DHET, 14,15-EET + 14,15-DHET, 7,8-EDP + 7,8-DiHDPA, 10,11-EDP + 10,11-DiHDPA, 13,14-EDP + 13,14-DiHDPA, 16,17-EDP + 16,17-DiHDPA, 19,20-EDP + 19,20-DiHDPA, 5,6-EEQ + 5,6-DiHETE, 8,9-EEQ + 8,9-DiHETE, 11,12-EEQ + 11,12-DiHETE, 14,15-EEQ + 14,15-DiHETE, 17,18-EEQ + 17,18-DiHETE, 9,10-EpOME + 9,10-DiHOME, 12,13-EpOME + 12,13-DiHOME, 5,6-DHET/5,6-EET, 8,9-DHET/8,9-EET, 11,12-DHET/11,12-EET, and 14,15-DHET/14,15-EET) in venous blood (Table S3). We found that ratios of diols/epoxides of all four subclasses were reduced by dialysis (Table S3). The effects were more obvious in venous compared to arterial blood (Table 3). Together, the results indicate that decreased sEH activity in peripheral tissue, especially the muscles, in vivo contributes to release and accumulation of CYP epoxy-metabolites in the peripheral upper limb circulation during hemodialysis.
3. Discussion
To gain further insight into oxylipin metabolism, we evaluated the arteriovenous differences of oxylipins levels in uremic patients treated by HD treatment. Our major findings are three-fold, as follows: (1) We detected negative arteriovenous differences of a number of CYP metabolites (EETs, EDPs, EEQs, EPOMEs, and their diols) after the dialysis treatment (post-HD). These were primarily due to exuberant increases of the metabolites in the venous blood stream of the arm. However, hemodialysis did not change arteriovenous differences of the majority of LOX and LOX/CYP ω/(ω-1)- hydroxylase metabolites. (2) The observed arteriovenous differences were caused by the dialysis treatment itself since we did not detect arteriovenous differences between the CYP metabolite levels before HD treatment (pre-HD). (3) Decreased soluble epoxide hydrolase (sEH) activity contributed to the release and accumulation of the CYP metabolites after HD. Together, our data indicate that CYP epoxy-metabolites are influenced by renal-replacement therapies and are consistent with the notion that blood perfusing peripheral tissue, especially the muscle, acts as a stimulus for release and accumulation of CYP epoxy-metabolites in the upper limb during dialysis treatment. Based on our data, we suggest that CYP epoxy-metabolites may be a contributing factor to the blood flow response in the peripheral circulation during hemodialysis. Future studies can clarify whether the identified metabolites exhibit beneficial or detrimental cardiovascular effects, possibly in metabolite-interacting networks.
Fick first capitalized on the arteriovenous oxygen difference to determine cardiac output and thereby to determine oxygen delivery and extraction. His insights permitted measuring the amount of oxygen taken up from the blood by the individual tissues. Usually, the arterial oxygen concentration is measured in blood from the radial, femoral, or brachial artery, and the oxygen content of mixed venous blood is measured from blood collected from the right heart (i.e., pulmonary artery). The mixed venous oxygen content represents the weighted average of oxygen content in venous blood from all organ systems. However, venous blood can also be withdrawn from specific organs, e.g., legs, arms, or the mesentery. In this case, measurement of oxygen consumption by the specific organ system requires withdrawal of venous blood draining that organ [12,13,14,15]. We applied this approach to better understand biotransformation of oxylipins in vivo, particularly whether or not the peripheral tissues, especially the muscles in the upper limbs, either produce, store, or degrade part of the epoxy-metabolites that pass through them in response to dialysis treatment. We were particularly interested to understand how the plasma oxylipins are modified by extracorporeal renal replacement therapy, which is known to cause oxidative stress, chronic inflammation, and red blood cell–endothelial interactions. Our study identified negative arteriovenous differences of a number of CYP metabolites in upper extremities, especially the muscles, after the dialysis treatment (post-HD). These changes were caused by exuberant increases of all four subclasses of the CYP epoxy-metabolites (i.e., EET, EDP, EEQ, EpOME) in the venous blood stream of the upper limbs.
We found that the following CYP epoxy-metabolites were increased in venous blood after HD: 5,6-EET, 8,9-EET, 11,12-EET, 14,15-EET, 7,8-EDP, 10,11-EDP, 14,15-EDP, 16,17-EDP, 19,20-EDP, 5,6-EEQ, 8,9-EEQ, 11,12-EEQ, 14,15-EEQ, 17,18-EEQ, 9,10-EPOME, and 12,13-EPOME. Although reduced in-vivo sEH activity in CKD/ESRD [4,16] may have contributed to the increased accumulation of the four eicosanoid classes itself, our data indicate that the observed changes are likely related to reduced sEH activity by HD treatment. Accordingly, we found that ratios of diols/epoxides of all four subclasses were reduced by dialysis. The sEH is an enzyme that converts specific epoxides to less biologically effective diols [7]. In plasma, we were able to observe that all ratios of diols/epoxides were reduced in the venous plasma after hemodialysis. Going further, we compared the differences in arterial and venous levels before and after dialysis and found that almost all the differences in metabolite ratios were due to their decrease in venous plasma after dialysis. Nevertheless, whether or not dialysis treatment inhibits the hydrolysis of epoxide metabolites to diols by sEH remains to be experimentally verified.
Although CYP450 can oxidize AA to four regional isomers, their content is unevenly distributed, with 11,12- and 14,15-EET being the predominant regional isomers in mammals, accounting for approximately 67–80% of all EETs [17,18]. Endothelial and red blood cells store EETs and can release these epoxides into plasma [19,20,21,22]. The mechanisms of how EETs and other epoxy-metabolites are released from the tissues are largely unknown, making our findings difficult to explain. The anti-inflammatory effects of EETs in the cardiovascular system, in the kidney, and in the brain are well established, and their main vascular effect is the diminution of the NF-kappaB-dependent inflammatory response [23,24]. 5,6-EET can produce vasodilation in various vascular beds [25,26]. 8,9-EET inhibits NF-kappaB nuclear translocation in mouse B lymphocytes activated by lipopolysaccharide, causing a reduction in basal and activation-induced antibody production [27]. As a result of suppressing LOX-1 receptor upregulation and NF-kappaB activation, 11,12 and 14,15-EET reduce the oxidized low density lipoprotein (LDL)-related inflammation in the vasculature [28]. 5,6-EET is the only one of these regional isomers that induces a bidirectional effect. In a study on the pulmonary vasculature [29], 5,6-EET was found to cause sustained vasoconstriction in the lung during hypoxia. Our findings are consistent with the idea that EETs are relevant vasodilatory signaling molecules for exhibiting cardiovascular effects in ESRD/CKD [30], which could counteract vasoconstrictor responses during dialysis. Pharmaceutical sEH inhibition is viewed as a novel treatment for enhancing the beneficial biological effects of EETs and other epoxy-metabolites [5]. However, presumably higher levels of EETs in blood and tissue in vivo may have also detrimental cardiovascular effects [31,32,33]. The extent to which the EETs increase observed in our study has detrimental or beneficial biological effects should be investigated.
We detected increases in 7,8-EDP, 10,11-EDP, 14,15-EDP, 16,17-EDP, 19,20-EDP, 5,6-EEQ, 8,9-EEQ, 11,12-EEQ, 14,15-EEQ, and 17,18-EEQ during dialysis. Little is known about the (patho) physiological functions of EEQs and EDPs. 16,17-EDP and 19,20-EDP are potent vasodilators in the peripheral circulation. They decrease blood pressure and can protect the heart by preservation of mitochondrial function [19,34]. EEQs and EDPs have a significant role in anti-cardiac fibrosis, improving post-ischemic reperfusion injury in the heart and reducing inflammation and pain, especially 19,20-EDPs [35] and 17,18-EEQs [36]. EDPs protect cardiac cells by improving and maintaining mitochondrial function against LPS-induced cell damage, as shown in a recent study [37]. A recent mouse ex vivo experiment [35] found that 19, 20-EDP could exert cardioprotective effects by inhibiting NLR Family Pyrin Domain Containing 3 (NLRP3) inflammatory vesicles compared to 17,18-EEQ. 17,18-EEQ decreases endothelial activity and prevents atherosclerosis [19]. 17,18-EEQ has been identified to activate Ca2+-activated potassium channels to produce vasodilation, an effect that is even more effective than for EETs [38,39]. 17,18-EEQ also inhibits Ca+ and isoproterenol-induced increases in cardiomyocytes contractility, suggesting that 17,18-EEQ could be used as a potential antiarrhythmic agent [6]. Our findings implicate that both EEQs and EDPs are novel candidates for vasoactive substances potentially released by hemodialysis to affect hemodynamics in these conditions.
We observed pronounced increases in venous plasma levels of 9,10-EpOME and 12,13-EpOME after hemodialysis. Recent findings suggest that EpOMEs exhibit cardio-inhibitory effects [40,41,42] and vasodilation [43]. Furthermore, they can cause vasoconstrictor effects in ischemic heart disease [40,44]. Since we observed increases in 9,10-EpOME and 12,13-EpOME after hemodialysis, our findings suggest the notion that increases in EpOMEs could play a detrimental role in cardiac ischemia and hemodynamics in ESRD patients.
We believe that our findings could have clinical relevance. We were able to analyze arteriovenous relationships in plasma oxylipin profiles in ESRD patients and the extent to which these are altered by renal replacement therapies. Our data indicate that CYP epoxy-metabolites are influenced by the hemodialysis treatment and are consistent with the notion that dialyzed blood perfusing peripheral tissue, especially the muscle, acts as a stimulus for release and accumulation of CYP epoxy-metabolites. Our analysis allowed an overall assessment of the biotransformation of plasma oxylipins in peripheral tissue, specifically upper extremity muscle, in vivo. The results provided new insights into local metabolic and hemodynamic formation processes of oxylipins in peripheral tissues in vivo. The extent to which the observed effects in oxylipins cause detrimental or beneficial cardiovascular effects, possibly in metabolite-interacting networks, or are influenced by specific underlying renal diseases or patient phenotypes should be explored in future studies.
4. Materials and Methods
4.1. Participants
The ethical committee of the Charité University Medicine approved the study. Written informed consent was obtained from all participants. The study was duly registered on the ClinicalTrials.gov website (Identifier: NCT03857984). Nine men and three women were recruited. To be included in the study, age over 18 years and presence of CKD requiring hemodialysis (three times a week) with stable hemodialysis prescriptions were defined as inclusion criteria. They had to have been dialyzed through a native fistula or a gore-tex graft. Exclusion criteria included age less than 18 years, pregnancy, inability to follow simple instructions, non-compliance with their dialysis prescription, and an anemia with hemoglobin (Hb) below 8.0 g/dL or an active infection.
4.2. Assessment
All patients were treated in sitting position. Subjects underwent dialysis treatments with a Polyflux 170H dialyzer (PAES membrane, Gambro); the ultrafiltration rate was unchanged during the hemodialysis treatment. Relevant dialysis treatment conditions (blood flow rate with ~250 mL/min, dialysate flow rate ~500 mL/min, double needle puncture technique, and dialysis time on average 4 h 15 min) were identical in all dialysis sessions. Arterial (shunt) blood samples were withdrawn on the fistula arm right before beginning of the dialysis (pre-HD) and at the end of the dialysis (5–15 min before cessation, post-HD). Venous blood was collected on the ipsilateral extremity by subcutaneous arm vein puncture at same time points to determine the arteriovenous difference of the epoxy-metabolites (Figure 2). The arteriovenous difference is caused by the fact that the peripheral tissues, specially the muscles, either produce, store, or degrade part of the epoxy-metabolites that perfuse them. All blood samples were obtained by 4 °C precooled EDTA vacuum extraction tube systems. Glucose, cholesterol, and triglycerides were determined in a certified clinical laboratory.
4.3. Determination of Eicosanoid Profiles
For the detection of total plasma oxylipins, we took a plasma sample (200 μL), added 300 μL of 10M sodium hydroxide (NaOH), and subjected it to alkaline hydrolysis at 60 °C for 30 min. The sample pH was then adjusted to 6 using 300 μL 58% acetic acid. The prepared samples were then subjected to solid phase extraction (SPE) using a Varian Bond Elut Certify II column. Specific experimental steps were described as previously [11,45]. For the detection of free plasma oxylipins, SPE extraction was performed directly after pH adjustment without prior alkaline hydrolysis.
The extracted metabolites were evaluated by LC-MS/MS using an Agilent 6460 Triple Quad mass spectrometer (Agilent Technologies, Santa Clara, CA, USA) and an Agilent 1200 high-performance liquid chromatography (HPLC) system (degasser, binary pump, well plate sampler, thermostatic column chamber). A Phenomenex Kinetex column (150 mm 2.1 mm, 2.6 m; Phenomenex, Aschaffenburg, Germany) was used in the HPLC system. The specific analysis process has been described previously [45]. Free and total plasma oxylipins were measured in the blood samples.
4.4. Statistical Analysis
Descriptive statistics were obtained, and variables were checked for skewness and kurtosis to ensure that they met the normal distribution assumptions. In order to determine statistical significance, paired t-test or paired Wilcoxon test were used to compare pre-HD vs. post-HD values. The significance level (p) of 0.05 was selected. All data are provided as mean ± SD. The statistics was performed using SPSS Statistics software (IBM Corporation).
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/metabo12010034/s1, Table S1. Clinical parameters of hemodialysis (HD) patients (n = 12 each), Table S2. Effects of hemodialysis on total plasma oxylipins in the CKD patients before (pre-HD) and at cessation (post-HD) of hemodialysis (n = 12 each); Table S3. Effects of hemodialysis on total plasma oxylipins and their ratios in venous blood of the CKD patients before (pre-HD) and at cessation (post-HD) of hemodialysis (n = 12 each).
Author Contributions
B.G., M.G. and F.C.L. planned and designed the experimental studies. T.L., I.D. and M.R. performed the HPLC-MS spectrometry experiments. All authors contributed to the implementation and analyses of the experiments. T.L. and B.G. drafted the article, and all authors contributed to its completion. All authors have read and agreed to the published version of the manuscript.
Funding
The Deutsche Forschungsgemeinschaft (DFG) supported FCL (LU 435/13-1). We express our thanks to the DFG for continuous support. We also acknowledge support from the Open Access Publication Fund of Charité—Universitätsmedizin Berlin.
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of the ethical committee of the Charité—Universitätsmedizin Berlin (protocol code EA4/110/19; date of approval 4 September 2020).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Acknowledgments
We wish to thank all patients for participating in this study. We thank Jana Reichardt for helping us collect some blood samples.
Conflicts of Interest
The authors declare no conflict of interest.
References
- McGill, R.L.; Bragg-Gresham, J.L.; He, K.; Lacson, E.K., Jr.; Miskulin, D.C.; Saran, R. Chronic disease burdens of incident U.S. dialysis patients, 1996–2015. Clin. Nephrol. 2020, 93, 1. [Google Scholar] [CrossRef]
- Luft, F.C. Renal disease as a risk factor for cardiovascular disease. Basic Res. Cardiol. 2000, 95, I72–I76. [Google Scholar] [CrossRef]
- Zullig, T.; Trotzmuller, M.; Kofeler, H.C. Lipidomics from sample preparation to data analysis: A primer. Anal. Bioanal. Chem. 2020, 412, 2191–2209. [Google Scholar] [CrossRef] [Green Version]
- Gollasch, B.; Wu, G.; Dogan, I.; Rothe, M.; Gollasch, M.; Luft, F.C. Effects of hemodialysis on plasma oxylipins. Physiol. Rep. 2020, 8, e14447. [Google Scholar] [CrossRef]
- Spector, A.A.; Kim, H.Y. Cytochrome P450 epoxygenase pathway of polyunsaturated fatty acid metabolism. Biochim. Biophys. Acta 2015, 1851, 356–365. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Arnold, C.; Markovic, M.; Blossey, K.; Wallukat, G.; Fischer, R.; Dechend, R.; Konkel, A.; von Schacky, C.; Luft, F.C.; Muller, D.N.; et al. Arachidonic acid-metabolizing cytochrome P450 enzymes are targets of ω-3 fatty acids. J. Biol. Chem. 2010, 285, 32720–32733. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Harris, T.R.; Hammock, B.D. Soluble epoxide hydrolase: Gene structure, expression and deletion. Gene 2013, 526, 61–74. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Spector, A.A.; Fang, X.; Snyder, G.D.; Weintraub, N.L. Epoxyeicosatrienoic acids (EETs): Metabolism and biochemical function. Prog. Lipid Res. 2004, 43, 55–90. [Google Scholar] [CrossRef]
- Gangadhariah, M.H.; Dieckmann, B.W.; Lantier, L.; Kang, L.; Wasserman, D.H.; Chiusa, M.; Caskey, C.F.; Dickerson, J.; Luo, P.; Gamboa, J.L.; et al. Cytochrome P450 epoxygenase-derived epoxyeicosatrienoic acids contribute to insulin sensitivity in mice and in humans. Diabetologia 2017, 60, 1066–1075. [Google Scholar] [CrossRef] [Green Version]
- Gollasch, B.; Wu, G.; Dogan, I.; Rothe, M.; Gollasch, M.; Luft, F.C. Maximal exercise and erythrocyte epoxy fatty acids: A lipidomics study. Physiol. Rep. 2019, 7, e14275. [Google Scholar] [CrossRef] [Green Version]
- Gollasch, B.; Dogan, I.; Rothe, M.; Gollasch, M.; Luft, F.C. Maximal exercise and plasma cytochrome P450 and lipoxygenase mediators: A lipidomics study. Physiol. Rep. 2019, 7, e14165. [Google Scholar] [CrossRef] [Green Version]
- Agroyannis, B.; Tzanatos, H.; Fourtounas, C.; Kopelias, I.; Katsoudas, S.; Chondros, K. Arteriovenous difference of blood ammonia in uremic patients under hemodialysis. Artif. Organs 1998, 22, 703–705. [Google Scholar] [CrossRef]
- Glassberg, B.Y. The arteriovenous difference on blood sugar content. Arch. Intern. Med. 1930, 46, 605–609. [Google Scholar] [CrossRef]
- Konttinen, A.; Sarajas, H.S.; Frick, M.H.; Rajasalmi, M. Arteriovenous relationship of non-esterified fatty acids, triglycerides, cholesterol and phospholipids in exercise. Ann. Med. Exp. Biol. Fenn. 1962, 40, 250–256. [Google Scholar]
- Ishibashi, T.; Nishizawa, N.; Nomura, M.; Liu, S.; Yang, M.; Miwa, T.; Shinkawa, I.; Yoshida, J.; Kawada, T.; Nishio, M. Arteriovenous differences in NO2− kinetics in anesthetized rabbits. Biol. Pharm. Bull. 2009, 32, 399–404. [Google Scholar] [CrossRef] [Green Version]
- Zhang, K.; Liu, Y.; Liu, X.; Chen, J.; Cai, Q.; Wang, J.; Huang, H. Apocynin improving cardiac remodeling in chronic renal failure disease is associated with up-regulation of epoxyeicosatrienoic acids. Oncotarget 2015, 6, 24699–24708. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Capdevila, J.H.; Falck, J.R.; Harris, R.C. Cytochrome P450 and arachidonic acid bioactivation. Molecular and functional properties of the arachidonate monooxygenase. J. Lipid Res. 2000, 41, 163–181. [Google Scholar] [CrossRef]
- Spector, A.A.; Norris, A.W. Action of epoxyeicosatrienoic acids on cellular function. Am. J. Physiol. Cell Physiol. 2007, 292, C996–C1012. [Google Scholar] [CrossRef]
- Schunck, W.H.; Konkel, A.; Fischer, R.; Weylandt, K.H. Therapeutic potential of omega-3 fatty acid-derived epoxyeicosanoids in cardiovascular and inflammatory diseases. Pharmacol. Ther. 2018, 183, 177–204. [Google Scholar] [CrossRef] [PubMed]
- Jiang, H.; Quilley, J.; Doumad, A.B.; Zhu, A.G.; Falck, J.R.; Hammock, B.D.; Stier, C.T., Jr.; Carroll, M.A. Increases in plasma trans-EETs and blood pressure reduction in spontaneously hypertensive rats. Am. J. Physiol. Heart Circ. Physiol. 2011, 300, H1990–H1996. [Google Scholar] [CrossRef] [Green Version]
- Jiang, H.; Anderson, G.D.; McGiff, J.C. Red blood cells (RBCs), epoxyeicosatrienoic acids (EETs) and adenosine triphosphate (ATP). Pharmacol. Rep. 2010, 62, 468–474. [Google Scholar] [CrossRef] [Green Version]
- Jiang, H.; Anderson, G.D.; McGiff, J.C. The red blood cell participates in regulation of the circulation by producing and releasing epoxyeicosatrienoic acids. Prostaglandins Other Lipid Mediat. 2012, 98, 91–93. [Google Scholar] [CrossRef] [Green Version]
- Morisseau, C.; Kodani, S.D.; Kamita, S.G.; Yang, J.; Lee, K.S.S.; Hammock, B.D. Relative Importance of Soluble and Microsomal Epoxide Hydrolases for the Hydrolysis of Epoxy-Fatty Acids in Human Tissues. Int. J. Mol. Sci. 2021, 22, 4993. [Google Scholar] [CrossRef]
- Node, K.; Huo, Y.; Ruan, X.; Yang, B.; Spiecker, M.; Ley, K.; Zeldin, D.C.; Liao, J.K. Anti-inflammatory properties of cytochrome P450 epoxygenase-derived eicosanoids. Science 1999, 285, 1276–1279. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hercule, H.C.; Schunck, W.H.; Gross, V.; Seringer, J.; Leung, F.P.; Weldon, S.M.; Goncalves, A.C.d.C.; Huang, Y.; Luft, F.C.; Gollasch, M. Interaction between P450 eicosanoids and nitric oxide in the control of arterial tone in mice. Arterioscler. Thromb. Vasc. Biol. 2009, 29, 54–60. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lu, T.; Katakam, P.V.; VanRollins, M.; Weintraub, N.L.; Spector, A.A.; Lee, H.C. Dihydroxyeicosatrienoic acids are potent activators of Ca2+-activated K+ channels in isolated rat coronary arterial myocytes. J. Physiol. 2001, 534 Pt 3, 651–667. [Google Scholar] [CrossRef] [PubMed]
- Gao, Y.; Feng, J.; Ma, K.; Zhou, Z.; Zhu, Y.; Xu, Q.; Wang, X. 8,9-Epoxyeicosatrienoic acid inhibits antibody production of B lymphocytes in mice. PLoS ONE 2012, 7, e40258. [Google Scholar]
- Osthues, T.; Sisignano, M. Oxidized Lipids in Persistent Pain States. Front. Pharmacol. 2019, 10, 1147. [Google Scholar] [CrossRef] [Green Version]
- Strielkov, I.; Krause, N.C.; Knoepp, F.; Alebrahimdehkordi, N.; Pak, O.; Garcia, C.; Ghofrani, H.A.; Schermuly, R.T.; Seeger, W.; Grimminger, F.; et al. Cytochrome P450 epoxygenase-derived 5,6-epoxyeicosatrienoic acid relaxes pulmonary arteries in normoxia but promotes sustained pulmonary vasoconstriction in hypoxia. Acta Physiol. 2020, 230, e13521. [Google Scholar] [CrossRef]
- Campbell, W.B.; Fleming, I. Epoxyeicosatrienoic acids and endothelium-dependent responses. Pflug. Arch. Eur. J. Physiol. 2010, 459, 881–895. [Google Scholar] [CrossRef] [Green Version]
- Gschwendtner, A.; Ripke, S.; Freilinger, T.; Lichtner, P.; Müller-Myhsok, B.; Wichmann, H.E.; Meitinger, T.; Dichgans, M. Genetic variation in soluble epoxide hydrolase (EPHX2) is associated with an increased risk of ischemic stroke in white Europeans. Stroke J. Cereb. Circ. 2008, 39, 1593–1596. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wutzler, A.; Kestler, C.; Perrot, A.; Loehr, L.; Huemer, M.; Parwani, A.S.; Attanasio, P.; Özcelik, C.; Schunck, W.-H.; Gollasch, M.; et al. Variations in the human soluble epoxide hydrolase gene and recurrence of atrial fibrillation after catheter ablation. Int. J. Cardiol. 2013, 168, 3647–3651. [Google Scholar] [CrossRef]
- Hutchens, M.P.; Nakano, T.; Dunlap, J.; Traystman, R.J.; Hurn, P.D.; Alkayed, N.J. Soluble epoxide hydrolase gene deletion reduces survival after cardiac arrest and cardiopulmonary resuscitation. Resuscitation 2008, 76, 89–94. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Morin, C.; Fortin, S.; Rousseau, E. 19,20-EpDPE, a bioactive CYP450 metabolite of DHA monoacyglyceride, decreases Ca2+ sensitivity in human pulmonary arteries. Am. J. Physiol. Heart Circ. Physiol. 2011, 301, H1311–H1318. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Darwesh, A.M.; Jamieson, K.L.; Wang, C.; Samokhvalov, V.; Seubert, J.M. Cardioprotective effects of CYP-derived epoxy metabolites of docosahexaenoic acid involve limiting NLRP3 inflammasome activation. Can. J. Physiol. Pharmacol. 2019, 97, 544–556. [Google Scholar] [CrossRef]
- Liu, Y.; Fang, X.; Zhang, X.; Huang, J.; He, J.; Peng, L.; Ye, C.; Wang, Y.; Xue, F.; Ai, D.; et al. Metabolic profiling of murine plasma reveals eicosapentaenoic acid metabolites protecting against endothelial activation and atherosclerosis. Br. J. Pharmacol. 2018, 175, 1190–1204. [Google Scholar] [CrossRef] [Green Version]
- Samokhvalov, V.; Jamieson, K.L.; Vriend, J.; Quan, S.; Seubert, J.M. CYP epoxygenase metabolites of docosahexaenoic acid protect HL-1 cardiac cells against LPS-induced cytotoxicity through SIRT1. Cell Death Discov. 2015, 97, 544–556. [Google Scholar] [CrossRef] [Green Version]
- Lauterbach, B.; Barbosa-Sicard, E.; Wang, M.H.; Honeck, H.; Kärgel, E.; Theuer, J.; Schwartzman, M.L.; Haller, H.; Luft, F.; Gollasch, M.; et al. Cytochrome P450-dependent eicosapentaenoic acid metabolites are novel BK channel activators. Hypertension 2002, 39 Pt 2, 609–613. [Google Scholar] [CrossRef]
- Hercule, H.C.; Salanova, B.; Essin, K.; Honeck, H.; Falck, J.R.; Sausbier, M.; Ruth, P.; Schunck, W.-H.; Luft, F.C.; Gollasch, M. The vasodilator 17,18-epoxyeicosatetraenoic acid targets the pore-forming BK alpha channel subunit in rodents. Exp. Physiol. 2007, 92, 1067–1076. [Google Scholar] [CrossRef]
- Siegfried, M.R.; Aoki, N.; Lefer, A.M.; Elisseou, E.M.; Zipkin, R.E. Direct cardiovascular actions of two metabolites of linoleic acid. Life Sci. 1990, 46, 427–433. [Google Scholar] [CrossRef]
- Fukushima, A.; Hayakawa, M.; Sugiyama, S.; Ajioka, M.; Ito, T.; Satake, T.; Ozawa, T. Cardiovascular effects of leukotoxin (9,10-epoxy-12-octadecenoate) and free fatty acids in dogs. Cardiovasc. Res. 1988, 22, 213–218. [Google Scholar] [CrossRef]
- Sugiyama, S.; Hayakawa, M.; Nagai, S.; Ajioka, M.; Ozawa, T. Leukotoxin, 9,10-epoxy-12-octadecenoate, causes cardiac failure in dogs. Life Sci. 1987, 40, 225–231. [Google Scholar] [CrossRef]
- Okamura, S.; Ameshima, S.; Demura, Y.; Ishizaki, T.; Matsukawa, S.; Miyamori, I. Leukotoxin-activated human pulmonary artery endothelial cell produces nitric oxide and superoxide anion. Pulm. Pharmacol. Ther. 2002, 15, 25–33. [Google Scholar] [CrossRef] [PubMed]
- Dudda, A.; Spiteller, G.; Kobelt, F. Lipid oxidation products in ischemic porcine heart tissue. Chem. Phys. Lipids 1996, 82, 39–51. [Google Scholar] [CrossRef]
- Fischer, R.; Konkel, A.; Mehling, H.; Blossey, K.; Gapelyuk, A.; Wessel, N.; von Schacky, C.; Dechend, R.; Muller, D.N.; Rothe, M.; et al. Dietary omega-3 fatty acids modulate the eicosanoid profile in man primarily via the CYP-epoxygenase pathway. J. Lipid Res. 2014, 55, 1150–1164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1.
Assessment of cytochrome P450 epoxygenase (CYP) and 12- and 15-lipoxygenase (LOX)/CYP (omega-1)-hydroxylase pathways in response to hemodialysis treatment. Arachidonic (AA), linoleic (LA), eicosapentaenoic (EPA), and docosahexaenoic acids (DHA) are converted to epoxyoctadecenoic acids (EpOMEs, e.g., 9,10-EpOME), epoxyeicosatetraenoic acids (EEQs, e.g., 17,18-EEQ), epoxyeicosatrienoic acid (EETs, e.g., 5,6-EET), and epoxydocosapentaenoic acids (EDPs, e.g., 19,20-EDP) by CYP epoxygenase, respectively. EpOMEs, EETs, EEQs, and EDPs are primarily converted to dihydroxyctadecenoic acids (DiHOMEs), dihydroxyeicosatrienoic acids (DHETs, e.g., 5,6-DHET), dihydroxyeicosatetraenoic acids (DiHETEs, e.g., 17,18-DiHETE), and dihydroxydocosapentaenoic acids (DiHDPAs, e.g., 19,20-DiHDPA) by the soluble epoxide hydrolase (sEH). LA, EPA, AA, and DHA are converted to hydroperoxylinoleic acids (HpODEs), hydroxyoctadecadienoic acids (HODEs), leukotriene B (LTB), lipoxin A (LXA), hydroxydocosahexaenoic acids (HDHAs), hydroperoxyeicosatetraenoic acids (HPETEs), and hydroxyeicosatetraenoic acids (HETEs) by LOX, CYP omega/(omega-1)-hydroxylase, and peroxidase pathways. The metabolites measured in these metabolic pathways follow the changes observed in LA, AA, EPA, and DHA metabolism, respectively. Modified from [4].
Figure 1.
Assessment of cytochrome P450 epoxygenase (CYP) and 12- and 15-lipoxygenase (LOX)/CYP (omega-1)-hydroxylase pathways in response to hemodialysis treatment. Arachidonic (AA), linoleic (LA), eicosapentaenoic (EPA), and docosahexaenoic acids (DHA) are converted to epoxyoctadecenoic acids (EpOMEs, e.g., 9,10-EpOME), epoxyeicosatetraenoic acids (EEQs, e.g., 17,18-EEQ), epoxyeicosatrienoic acid (EETs, e.g., 5,6-EET), and epoxydocosapentaenoic acids (EDPs, e.g., 19,20-EDP) by CYP epoxygenase, respectively. EpOMEs, EETs, EEQs, and EDPs are primarily converted to dihydroxyctadecenoic acids (DiHOMEs), dihydroxyeicosatrienoic acids (DHETs, e.g., 5,6-DHET), dihydroxyeicosatetraenoic acids (DiHETEs, e.g., 17,18-DiHETE), and dihydroxydocosapentaenoic acids (DiHDPAs, e.g., 19,20-DiHDPA) by the soluble epoxide hydrolase (sEH). LA, EPA, AA, and DHA are converted to hydroperoxylinoleic acids (HpODEs), hydroxyoctadecadienoic acids (HODEs), leukotriene B (LTB), lipoxin A (LXA), hydroxydocosahexaenoic acids (HDHAs), hydroperoxyeicosatetraenoic acids (HPETEs), and hydroxyeicosatetraenoic acids (HETEs) by LOX, CYP omega/(omega-1)-hydroxylase, and peroxidase pathways. The metabolites measured in these metabolic pathways follow the changes observed in LA, AA, EPA, and DHA metabolism, respectively. Modified from [4].
Figure 2.
A simplified scheme of the relationship among different compartments. Central and peripheral compartments are shown. Central compartment is consisting of plasma, pm1 and pm2. Peripheral compartments are consisting of organ tissues, especially arm muscle, with extracellular fluid, red blood cells (RBCs), etc. The continuity between arterial and venous systems via pulmonary (top) and peripheral (bottom) arm muscle is illustrated in the diagram. Arterial and venous blood samples were taken before (pre-HD) and after HD (post-HD) treatment. Plasma oxylipins were measured in pm1 and pm2, i.e., arterial shunt and subcutaneous vein, respectively. It is obvious that the arteriovenous (av) difference is caused by the circumstance that the peripheral tissues, especially the muscles, either produce, store, or degrade part of the oxylipins that pass through them. The curved vector graphs represent the hypothetical influence of CKD and hemodialysis in conjunction with shear stress, dialyzer, red blood cell (RBC)-endothelial interactions, and oxidative stress affecting plasma oxylipin biotransformation levels in peripheral tissues.
Figure 2.
A simplified scheme of the relationship among different compartments. Central and peripheral compartments are shown. Central compartment is consisting of plasma, pm1 and pm2. Peripheral compartments are consisting of organ tissues, especially arm muscle, with extracellular fluid, red blood cells (RBCs), etc. The continuity between arterial and venous systems via pulmonary (top) and peripheral (bottom) arm muscle is illustrated in the diagram. Arterial and venous blood samples were taken before (pre-HD) and after HD (post-HD) treatment. Plasma oxylipins were measured in pm1 and pm2, i.e., arterial shunt and subcutaneous vein, respectively. It is obvious that the arteriovenous (av) difference is caused by the circumstance that the peripheral tissues, especially the muscles, either produce, store, or degrade part of the oxylipins that pass through them. The curved vector graphs represent the hypothetical influence of CKD and hemodialysis in conjunction with shear stress, dialyzer, red blood cell (RBC)-endothelial interactions, and oxidative stress affecting plasma oxylipin biotransformation levels in peripheral tissues.
Table 1.
Clinical features of hemodialysis (HD) patients (n = 12).
| HD Patients | |
|---|---|
| Age (years) | 72 ± 12 |
| Sex | |
| Male (n) | 9 |
| Female (n) | 3 |
| Body mass index (kg/m2) | 27 ± 3 |
| Race (n) | Caucasian = 12 |
| Cause of end-stage renal disease | |
| Focal segmental glomerulosclerosis (n) | 6 |
| IgA nephropathy (n) | 1 |
| Renal amyloidosis (n) | 1 |
| Hypertension (n) | 1 |
| Drug induced (n) | 1 |
| ADPKD (n) | 1 |
| Cystic kidneys (n) | 1 |
| Complications | |
| Cardiovascular (n) | 12 |
Notes: Data are presented as mean ± SD or frequencies.
Table 2.
Effects of hemodialysis on total oxylipins in the CKD patients before (pre-HD) and at cessation (post-HD) of hemodialysis (n = 12 each).
Table 2.
Effects of hemodialysis on total oxylipins in the CKD patients before (pre-HD) and at cessation (post-HD) of hemodialysis (n = 12 each).
| Amount ng/mL | Pre-HD A (Mean ± SD) | Pre-HD V (Mean ± SD) | p-Value, t-Test (# Paired Wilcoxon Test) | Pre-HD A-V Difference (Mean ± SD) | Post-HD A (Mean ± SD) | Post-HD V (Mean ± SD) | p-Value, t-Test (# Paired Wilcoxon Test) | Post-HD A-V Difference (Mean ± SD) |
|---|---|---|---|---|---|---|---|---|
| CYP epoxy-metabolites | ||||||||
| 5,6-EET | 25.2403 ± 22.8032 | 16.8013 ± 15.3681 | 0.325 | 8.1596 ± 22.0848 | 37.0725 ± 16.6846 | 61.8386 ± 21.0905 | 0.003 # | −24.7661 ± 17.4189 |
| 8,9-EET | 10.5227 ± 10.8994 | 7.2706 ± 6.6772 | 0.806 | 3.1316 ± 11.4525 | 13.3085 ± 5.6504 | 22.3969 ± 7.8620 | 0.002 # | −9.0884 ± 6.7881 |
| 11,12-EET | 9.9539 ± 10.0802 | 7.0358 ± 6.8420 | 0.806 | 2.7042 ± 10.2183 | 14.2304 ± 6.6762 | 25.6937 ± 9.1845 | 0.002 # | −11.4633 ± 7.4968 |
| 14,15-EET | 12.5615 ± 12.5408 | 9.6655 ± 9.4944 | 0.538 | 2.6286 ± 12.4557 | 19.0872 ± 9.2999 | 35.6871 ± 13.5842 | 0.002 # | −16.6000 ± 10.9006 |
| 5,6-DHET | 1.1450 ± 0.5549 | 1.0727 ± 0.5911 | 0.389 | 0.1175 ± 0.1770 | 1.3684 ± 0.5945 | 1.2782 ± 0.6163 | 0.177 # | 0.0901 ± 0.2165 |
| 8,9-DHET | 1.7434 ± 1.5788 | 1.6063 ± 1.3596 | 0.806 | 0.1581 ± 0.4252 | 1.6086 ± 1.1218 | 1.2535 ± 0.9769 | 0.004 # | 0.3550 ± 0.3980 |
| 11,12-DHET | 0.4366 ± 0.2207 | 0.4188 ± 0.1959 | 0.902 | 0.0311 ± 0.0878 | 0.5221 ± 0.1967 | 0.4683 ± 0.1888 | 0.005 | 0.0538 ± 0.0534 |
| 14,15-DHET | 0.4159 ± 0.0996 | 0.3721 ± 0.0788 | 0.252 | 0.0480 ± 0.0902 | 0.4919 ± 0.1251 | 0.4212 ± 0.1045 | 0.132 | 0.0708 ± 0.1505 |
| 7,8-EDP | 4.5236 ± 4.3719 | 3.2930 ± 3.1818 | 0.951 | 1.1887 ± 4.7923 | 6.0064 ± 2.6897 | 10.4413 ± 3.5636 | 0.002 # | −4.4349 ± 2.2351 |
| 10,11-EDP | 4.4784 ± 4.4009 | 3.3370 ± 3.0863 | 0.806 | 1.0517 ± 4.5614 | 6.6357 ± 3.0803 | 11.9332 ± 3.9274 | <0.001 | −5.2975 ± 2.5243 |
| 13,14-EDP | 3.3860 ± 3.4990 | 2.6621 ± 2.8208 | 0.806 | 0.6491 ± 3.6773 | 4.8226 ± 2.2061 | 7.8177 ± 2.6177 | <0.001 | −2.9952 ± 1.9444 |
| 16,17-EDP | 2.9692 ± 2.8814 | 2.1926 ± 2.0367 | 0.806 | 0.7541 ± 2.8457 | 3.8342 ± 1.6915 | 5.5352 ± 2.0151 | 0.008 | −1.7010 ± 1.8424 |
| 19,20-EDP | 5.5558 ± 5.3859 | 3.9685 ± 3.1487 | 1 | 1.4739 ± 5.6060 | 8.6761 ± 3.8647 | 16.3124 ± 6.2669 | 0.002 # | −7.6363 ± 3.7823 |
| 7,8-DiHDPA | 0.4489 ± 0.2473 | 0.4110 ± 0.2301 | 0.498 | 0.0405 ± 0.0429 | 0.4905 ± 0.2287 | 0.4461 ± 0.2152 | 0.021 | 0.0444 ± 0.0571 |
| 10,11-DiHDPA | 0.1277 ± 0.0387 | 0.1210 ± 0.0346 | 0.664 | 0.0081 ± 0.0169 | 0.1439 ± 0.0452 | 0.1291 ± 0.0539 | 0.031 | 0.0148 ± 0.0207 |
| 13,14-DiHDPA | 0.0892 ± 0.0274 | 0.0846 ± 0.0203 | 0.65 | 0.0051 ± 0.0114 | 0.0989 ± 0.0354 | 0.1040 ± 0.0439 | 0.55 | −0.0051 ± 0.0285 |
| 16,17-DiHDPA | 0.0926 ± 0.0361 | 0.0947 ± 0.0314 | 0.886 | −0.0012 ± 0.0111 | 0.1160 ± 0.0464 | 0.1042 ± 0.0480 | 0.168 | 0.0118 ± 0.0277 |
| 19,20-DiHDPA | 0.8379 ± 0.4051 | 0.8262 ± 0.3658 | 0.943 | 0.0383 ± 0.0710 | 0.9534 ± 0.4118 | 0.9134 ± 0.4345 | 0.393 | 0.0400 ± 0.1559 |
| 5,6-EEQ | 0.0051 ± 0.0039 | 0.0034 ± 0.0026 | 0.23 | −0.0064 ± 0.0048 | 0.0084 ± 0.0052 | 0.0148 ± 0.0050 | 0.004 # | 0.0012 ± 0.0042 |
| 8,9-EEQ | 1.4478 ± 1.2289 | 0.9972 ± 0.6972 | 0.498 | 0.4347 ± 1.3829 | 2.6063 ± 1.7732 | 4.3902 ± 1.5836 | 0.008 # | −1.7839 ± 1.6485 |
| 11,12-EEQ | 0.9541 ± 0.8310 | 0.7197 ± 0.4820 | 0.806 | 0.2294 ± 0.9263 | 1.8077 ± 1.2340 | 3.4951 ± 1.3735 | 0.003 # | −1.6874 ± 1.1790 |
| 14,15-EEQ | 0.9436 ± 0.7146 | 0.7047 ± 0.4467 | 0.343 # | 0.2231 ± 0.8184 | 1.7544 ± 1.2152 | 3.2728 ± 1.3192 | 0.004 # | −1.5184 ± 1.2985 |
| 17,18-EEQ | 1.6849 ± 1.3879 | 1.3915 ± 0.8490 | 0.543 # | 0.2583 ± 1.4915 | 2.9621 ± 2.1045 | 6.2605 ± 2.2755 | 0.002 # | −3.2984 ± 2.0268 |
| 5,6-DiHETE | 1.5299 ± 0.9299 | 1.3695 ± 0.7134 | 0.622 # | 0.3200 ± 0.8708 | 2.0357 ± 1.4971 | 1.6895 ± 0.8335 | 0.53 # | 0.3461 ± 1.2824 |
| 8,9-DiHETE | 0.0908 ± 0.0378 | 0.0908 ± 0.0317 | 0.667 # | 0.0061 ± 0.0374 | 0.1085 ± 0.0552 | 0.0960 ± 0.0386 | 0.36 | 0.0125 ± 0.0455 |
| 11,12-DiHETE | 0.0476 ± 0.0379 | 0.0356 ± 0.0100 | 0.806 | 0.0128 ± 0.0418 | 0.0596 ± 0.0600 | 0.0372 ± 0.0119 | 0.099 # | 0.0224 ± 0.0633 |
| 14,15-DiHETE | 0.0528 ± 0.0201 | 0.0462 ± 0.0135 | 0.364 # | 0.0075 ± 0.0205 | 0.0538 ± 0.0249 | 0.0487 ± 0.0203 | 0.49 | 0.0051 ± 0.0248 |
| 17,18-DiHETE | 0.2149 ± 0.0825 | 0.2141 ± 0.0836 | 0.981 # | 0.0030 ± 0.0659 | 0.2784 ± 0.1176 | 0.2454 ± 0.1082 | 0.253 | 0.0330 ± 0.0948 |
| 9,10-EpOME | 33.0227 ± 31.0831 | 22.5987 ± 12.9602 | 0.806 | 9.9686 ± 32.0264 | 51.7226 ± 18.8433 | 93.5874 ± 36.4954 | 0.002 # | −41.8648 ± 26.9869 |
| 12,13-EpOME | 30.9825 ± 26.7698 | 20.7024 ± 11.0768 | 0.46 | 9.7907 ± 27.7448 | 46.9109 ± 15.0402 | 79.7224 ± 23.6841 | <0.001 | −32.8115 ± 15.3972 |
| 9,10-DiHOME | 4.1455 ± 1.7899 | 3.2993 ± 1.7108 | 0.085 | 0.7458 ± 0.9866 | 5.5991 ± 2.7877 | 5.6467 ± 2.4652 | 0.954 # | −0.0476 ± 2.7904 |
| 12,13-DiHOME | 4.9809 ± 1.9437 | 3.8968 ± 1.6289 | 0.161 # | 0.9906 ± 1.6559 | 6.9594 ± 3.7873 | 6.9340 ± 3.3774 | 0.875 # | 0.0254 ± 2.8341 |
| LOX metabolites | ||||||||
| 5-HETE | 10.1945 ± 2.9568 | 8.9008 ± 2.5521 | 0.273 # | 1.3211 ± 1.9205 | 11.6499 ± 3.0694 | 11.2376 ± 3.5321 | 0.53 # | 0.4123 ± 3.1451 |
| 8-HETE | 3.1627 ± 0.8646 | 2.9701 ± 0.9371 | 0.46 # | 0.1954 ± 0.4666 | 3.5068 ± 1.3221 | 2.9656 ± 1.1078 | 0.185 | 0.5413 ± 1.3245 |
| 9-HETE | 6.2378 ± 2.4916 | 5.0812 ± 2.0444 | 0.235 # | 1.1362 ± 1.8189 | 6.6115 ± 2.5626 | 5.7522 ± 2.1829 | 0.209 # | 0.8593 ± 2.1644 |
| 11-HETE | 4.3689 ± 1.3795 | 3.4094 ± 1.1668 | 0.027 | 0.9124 ± 0.8519 | 4.5454 ± 1.4621 | 4.0433 ± 1.4575 | 0.071 # | 0.5021 ± 1.5746 |
| 12-HETE | 5.1343 ± 1.7200 | 5.8545 ± 2.6463 | 0.452 # | −0.7233 ± 1.8003 | 6.0063 ± 2.3467 | 4.7972 ± 2.3597 | 0.023 # | 1.2091 ± 1.8582 |
| 15-HETE | 6.1984 ± 1.9171 | 4.9051 ± 1.5388 | 0.085 | 1.2806 ± 1.1112 | 6.1869 ± 1.8919 | 5.7417 ± 3.2394 | 0.06 # | 0.4452 ± 2.9529 |
| 4-HDHA | 2.3149 ± 0.6472 | 2.1630 ± 0.5977 | 0.565 # | 0.1653 ± 0.5413 | 2.4431 ± 0.9794 | 2.5609 ± 1.2943 | 0.875 # | −0.1178 ± 0.8863 |
| 7-HDHA | 2.1060 ± 0.6072 | 1.7319 ± 0.5209 | 0.11 | 0.3892 ± 0.4553 | 2.1783 ± 0.8143 | 2.0061 ± 0.6765 | 0.259 | 0.1722 ± 0.5011 |
| 8-HDHA | 1.2263 ± 0.4487 | 1.0900 ± 0.3821 | 0.44 | 0.1357 ± 0.1780 | 1.2990 ± 0.5943 | 1.1141 ± 0.4935 | 0.182 # | 0.1849 ± 0.5362 |
| 10-HDHA | 0.7721 ± 0.2512 | 0.6877 ± 0.2059 | 0.387 | 0.0793 ± 0.0990 | 0.7940 ± 0.3187 | 0.7020 ± 0.2701 | 0.196 | 0.0920 ± 0.2312 |
| 11-HDHA | 1.0995 ± 0.3769 | 1.0493 ± 0.3586 | 0.902 | 0.0545 ± 0.2055 | 1.0862 ± 0.4291 | 1.0103 ± 0.3687 | 0.136 # | 0.0758 ± 0.4079 |
| 13-HDHA | 0.9168 ± 0.2861 | 0.8168 ± 0.2303 | 0.364 | 0.0963 ± 0.1441 | 0.9169 ± 0.3765 | 0.8015 ± 0.3238 | 0.259 # | 0.1154 ± 0.3361 |
| 14-HDHA | 1.1312 ± 0.4384 | 1.0678 ± 0.4203 | 0.727 | 0.0541 ± 0.2125 | 1.1712 ± 0.5441 | 0.9981 ± 0.5062 | 0.084 # | 0.1732 ± 0.3398 |
| 16-HDHA | 1.1430 ± 0.3468 | 0.9559 ± 0.3037 | 0.182 | 0.1782 ± 0.1994 | 1.1459 ± 0.4227 | 1.0653 ± 0.4675 | 0.117 # | 0.0806 ± 0.4293 |
| 17-HDHA | 1.4069 ± 0.4032 | 1.1633 ± 0.3601 | 0.141 | 0.2414 ± 0.2051 | 1.4601 ± 0.5780 | 1.2773 ± 0.5100 | 0.041 # | 0.1828 ± 0.5168 |
| 20-HDHA | 2.8698 ± 0.7707 | 2.4726 ± 0.7079 | 0.212 # | 0.3802 ± 0.4872 | 2.9700 ± 0.9600 | 2.7939 ± 1.1603 | 0.084 # | 0.1761 ± 0.9553 |
| 5-HEPE | 1.4608 ± 0.5576 | 1.3111 ± 0.4406 | 0.481 | 0.1804 ± 0.3543 | 1.5968 ± 0.9534 | 1.4799 ± 0.6337 | 0.875 # | 0.1170 ± 0.8054 |
| 8-HEPE | 0.2118 ± 0.0669 | 0.1959 ± 0.0421 | 0.712 | 0.0193 ± 0.0428 | 0.2061 ± 0.1012 | 0.1817 ± 0.0752 | 0.329 # | 0.0244 ± 0.0829 |
| 9-HEPE | 0.4018 ± 0.1460 | 0.3661 ± 0.1209 | 0.528 | 0.0400 ± 0.1177 | 0.3664 ± 0.2280 | 0.3335 ± 0.1318 | 0.875 # | 0.0329 ± 0.1871 |
| 11-HEPE | 0.2752 ± 0.0907 | 0.2520 ± 0.0448 | 0.538 | 0.0217 ± 0.0697 | 0.2531 ± 0.1150 | 0.2364 ± 0.0928 | 0.388 # | 0.0167 ± 0.1077 |
| 12-HEPE | 0.5039 ± 0.1762 | 0.5213 ± 0.1704 | 0.812 | −0.0162 ± 0.1369 | 0.4619 ± 0.2576 | 0.4038 ± 0.1731 | 0.638 # | 0.0580 ± 0.2070 |
| 15-HEPE | 0.3150 ± 0.1086 | 0.3142 ± 0.0634 | 0.983 | 0.0029 ± 0.0850 | 0.2890 ± 0.1524 | 0.2596 ± 0.1144 | 0.433 # | 0.0294 ± 0.1342 |
| 18-HEPE | 0.8580 ± 0.2946 | 0.8418 ± 0.2239 | 0.883 # | 0.0156 ± 0.2704 | 0.7714 ± 0.3717 | 0.7502 ± 0.4476 | 0.53 # | 0.0212 ± 0.3909 |
| 9-HODE | 22.0631 ± 7.3185 | 17.1239 ± 6.0628 | 0.091 # | 4.7896 ± 3.9253 | 36.2855 ± 21.5709 | 34.0942 ± 21.6186 | 0.071 # | 2.1913 ± 11.7721 |
| 13-HODE | 17.7783 ± 6.0021 | 13.5081 ± 4.2496 | 0.012 | 4.0845 ± 3.1626 | 25.0606 ± 10.8578 | 25.1650 ± 13.2212 | 0.48 # | −0.1044 ± 8.7534 |
| CYP ω/(ω−1) metabolites | ||||||||
| 16-HETE | 0.2346 ± 0.0507 | 0.2175 ± 0.0583 | 0.462 # | 0.0186 ± 0.0590 | 0.2194 ± 0.0562 | 0.2184 ± 0.0828 | 0.875 # | 0.0010 ± 0.0660 |
| 17-HETE | 0.0565 ± 0.0112 | 0.0560 ± 0.0145 | 0.922 # | 0.0010 ± 0.0109 | 0.0602 ± 0.0182 | 0.0517 ± 0.0147 | 0.071 # | 0.0085 ± 0.0161 |
| 18-HETE | 0.1620 ± 0.0463 | 0.1499 ± 0.0282 | 0.538 # | 0.0154 ± 0.0455 | 0.1651 ± 0.0450 | 0.1493 ± 0.0421 | 0.272 # | 0.0158 ± 0.0416 |
| 19-HETE | 0.1441 ± 0.0810 | 0.1354 ± 0.0411 | 0.854 | 0.0133 ± 0.0689 | 0.1599 ± 0.0533 | 0.1662 ± 0.0571 | 0.693 | −0.0064 ± 0.0546 |
| 20-HETE | 0.4738 ± 0.2011 | 0.3992 ± 0.2211 | 0.408 # | 0.0787 ± 0.1668 | 0.4803 ± 0.1680 | 0.4787 ± 0.2014 | 0.958 | 0.0016 ± 0.1021 |
| 22-HDHA | 0.0994 ± 0.0832 | 0.0763 ± 0.0603 | 0.325 | 0.0216 ± 0.0282 | 0.1067 ± 0.0758 | 0.1115 ± 0.0824 | 0.695 # | −0.0048 ± 0.0562 |
| 20-HEPE | 0.1460 ± 0.0808 | 0.1343 ± 0.0692 | 0.713 # | 0.0119 ± 0.0403 | 0.1550 ± 0.0963 | 0.1485 ± 0.0768 | 0.608 | 0.0065 ± 0.0426 |
Notes: A, arterial blood; V, venous blood; A-V difference, arteriovenous difference. Bold indicates significant difference.
Table 3.
Effects of hemodialysis on total plasma oxylipins and their ratios in the CKD patients before (pre-HD) and at cessation (post-HD) of hemodialysis (n = 12 each).
Table 3.
Effects of hemodialysis on total plasma oxylipins and their ratios in the CKD patients before (pre-HD) and at cessation (post-HD) of hemodialysis (n = 12 each).
| Amount ng/ml | Pre-HD A (Mean ± SD) | Pre-HD V (Mean ± SD) | p-Value, t-Test (# Paired Wilcoxon test) | Pre-HD A-V Difference (Mean ± SD) | Post-HD A (Mean ± SD) | Post-HD V (Mean ± SD) | p-Value, t-test (# Paired Wilcoxon Test) | Pre-HD A-V Difference (Mean ± SD) |
|---|---|---|---|---|---|---|---|---|
| 5,6-EET + 5,6-DHET | 26.3853 ± 22.7488 | 17.8740 ± 15.3357 | 0.325 # | 8.2771 ± 22.0947 | 38.4409 ± 16.7998 | 63.1169 ± 21.0481 | 0.003 # | −24.6760 ± 17.5393 |
| 8,9-EET + 8,9-DHET | 12.2661 ± 10.8593 | 8.8769 ± 6.7288 | 0.758 # | 3.2897 ± 11.3985 | 14.9171 ± 6.2221 | 23.6504 ± 7.8856 | 0.003 # | −8.7333 ± 7.0409 |
| 11,12-EET + 11,12-DHET | 10.3905 ± 10.0509 | 7.4546 ± 6.8226 | 0.902 # | 2.7353 ± 10.2061 | 14.7525 ± 6.7118 | 26.1620 ± 9.1754 | 0.002 # | −11.4095 ± 7.5222 |
| 14,15-EET + 14,15-DHET | 12.9774 ± 12.5015 | 10.0376 ± 9.5061 | 0.667 # | 2.6766 ± 12.4408 | 19.5791 ± 9.2852 | 36.1083 ± 13.6146 | 0.002 # | −16.5292 ± 10.9098 |
| 7,8-EDP + 7,8-DiHDPA | 4.9725 ± 4.3744 | 3.7040 ± 3.1733 | 0.854 # | 1.2292 ± 4.8036 | 6.4969 ± 2.8052 | 10.8874 ± 3.5963 | 0.002 # | −4.3904 ± 2.2808 |
| 10,11-EDP + 10,11-DiHDPA | 4.6062 ± 4.3839 | 3.4580 ± 3.0889 | 0.806 # | 1.0598 ± 4.5591 | 6.7795 ± 3.0931 | 12.0623 ± 3.9527 | <0.001 | −5.2828 ± 2.5347 |
| 13,14-EDP + 13,14-DiHDPA | 3.4752 ± 3.4913 | 2.7467 ± 2.8205 | 0.854 # | 0.6542 ± 3.6762 | 4.9215 ± 2.2192 | 7.9218 ± 2.6423 | <0.001 | −3.0002 ± 1.9422 |
| 16,17-EDP + 16,17-DiHDPA | 3.0618 ± 2.8699 | 2.2873 ± 2.0344 | 0.712 # | 0.7529 ± 2.8441 | 3.9502 ± 1.7125 | 5.6394 ± 2.0354 | 0.009 | −1.6892 ± 1.8365 |
| 19,20-EDP + 19,20-DiHDPA | 6.3937 ± 5.2944 | 4.7947 ± 3.1021 | 1 # | 1.5121 ± 5.6027 | 9.6295 ± 4.0652 | 17.2258 ± 6.4814 | <0.001 | −7.5963 ± 3.8630 |
| 5,6-EEQ + 5,6-DiHETE | 1.5350 ± 0.9296 | 1.3729 ± 0.7133 | 0.622 # | 0.3217 ± 0.8716 | 2.0440 ± 1.5009 | 1.7043 ± 0.8338 | 0.388 # | 0.3397 ± 1.2857 |
| 8,9-EEQ + 8,9-DiHETE | 1.5386 ± 1.2263 | 1.0880 ± 0.6966 | 0.285 | 0.4408 ± 1.3934 | 2.7148 ± 1.8146 | 4.4861 ± 1.6000 | 0.008 # | −1.7714 ± 1.6800 |
| 11,12-EEQ + 11,12-DiHETE | 1.0017 ± 0.8179 | 0.7552 ± 0.4846 | 0.758 # | 0.2422 ± 0.9263 | 1.8673 ± 1.2279 | 3.5323 ± 1.3814 | 0.003 # | −1.6651 ± 1.1940 |
| 14,15-EEQ + 14,15-DiHETE | 0.9963 ± 0.7071 | 0.7508 ± 0.4514 | 0.328 | 0.2305 ± 0.8200 | 1.8082 ± 1.2226 | 3.3214 ± 1.3339 | 0.004 # | −1.5133 ± 1.3083 |
| 17,18-EEQ + 17,18-DiHETE | 1.8998 ± 1.3591 | 1.6056 ± 0.8496 | 0.536 | 0.2613 ± 1.5047 | 3.2405 ± 2.1560 | 6.5059 ± 2.3420 | 0.003 # | −3.2654 ± 2.0580 |
| 9,10-EpOME + 9,10-DiHOME | 37.1683 ± 31.3783 | 25.8981 ± 13.6496 | 0.712 # | 10.7144 ± 32.1530 | 57.3217 ± 18.9513 | 99.2342 ± 38.1881 | 0.002 # | −41.9125 ± 28.5066 |
| 12,13-EpOME + 12,13-DiHOME | 35.9634 ± 27.1475 | 24.5992 ± 12.1650 | 0.424 # | 10.7813 ± 27.9218 | 53.8703 ± 15.3169 | 86.6564 ± 25.6785 | <0.001 | −32.7861 ± 16.4280 |
| 5,6-DHET/5,6-EET | 0.0749 ± 0.0518 | 0.0864 ± 0.0565 | 0.617 | 0.0431 ± 0.0261 | 0.0222 ± 0.0120 | 0.002 # | ||
| 8,9-DHET/8,9-EET | 0.2737 ± 0.2578 | 0.2858 ± 0.2519 | 0.854 # | 0.1253 ± 0.0630 | 0.0599 ± 0.0480 | 0.002 # | ||
| 11,12-DHET/11,12-EET | 0.0827 ± 0.0649 | 0.0874 ± 0.0650 | 0.926 # | 0.0426 ± 0.0205 | 0.0198 ± 0.0099 | 0.002 # | ||
| 14,15-DHET/14,15-EET | 0.0654 ± 0.0409 | 0.0550 ± 0.0284 | 0.485 | 0.0326 ± 0.0210 | 0.0127 ± 0.0047 | 0.002 # | ||
| 7,8-DiHDPA/7,8-EDP | 0.1650 ± 0.1420 | 0.5745 ± 1.4719 | 0.622 # | 0.0892 ± 0.0353 | 0.0458 ± 0.0285 | 0.002 # | ||
| 10,11-DiHDPA/10,11-EDP | 0.0538 ± 0.0350 | 0.0514 ± 0.0285 | 0.859 | 0.0256 ± 0.0118 | 0.0110 ± 0.0041 | 0.002 # | ||
| 13,14-DiHDPA/13,14-EDP | 0.0506 ± 0.0302 | 0.0484 ± 0.0269 | 0.855 | 0.0237 ± 0.0101 | 0.0134 ± 0.0039 | 0.01 # | ||
| 16,17-DiHDPA/16,17-EDP | 0.0552 ± 0.0392 | 0.0601 ± 0.0343 | 0.755 | 0.0335 ± 0.0139 | 0.0194 ± 0.0071 | 0.008 | ||
| 19,20-DiHDPA/19,20-EDP | 0.2730 ± 0.2232 | 0.2905 ± 0.1983 | 0.806 # | 0.1212 ± 0.0480 | 0.0580 ± 0.0264 | 0.002 # | ||
| 5,6-DiHETE/5,6-EEQ | 483.3002 ± 348.2197 | 599.0058 ± 431.5977 | 0.49 | 274.7175 ± 163.7055 | 121.8920 ± 63.0904 | 0.001 | ||
| 8,9-DiHETE/8,9-EEQ | 0.1037 ± 0.0654 | 0.1332 ± 0.0872 | 0.372 | 0.0502 ± 0.0261 | 0.0229 ± 0.0107 | 0.002 # | ||
| 11,12-DiHETE/11,12-EEQ | 0.1107 ± 0.1548 | 0.0634 ± 0.0260 | 0.806 # | 0.0596 ± 0.1111 | 0.0112 ± 0.0032 | 0.002 # | ||
| 14,15-DiHETE/14,15-EEQ | 0.1012 ± 0.0933 | 0.0817 ± 0.0318 | 0.854 # | 0.0436 ± 0.0466 | 0.0153 ± 0.0044 | 0.003 # | ||
| 17,18-DiHETE/17,18-EEQ | 0.2320 ± 0.1551 | 0.2159 ± 0.1591 | 0.667 # | 0.1399 ± 0.1461 | 0.0397 ± 0.0133 | 0.002 # | ||
| 9,10-DiHOME/9,10-EpOME | 0.1799 ± 0.0860 | 0.1731 ± 0.1090 | 0.58 # | 0.1260 ± 0.0918 | 0.0617 ± 0.0222 | 0.01 # | ||
| 12,13-DiHOME/12,13-EpOME | 0.2255 ± 0.0981 | 0.2087 ± 0.0951 | 0.356 # | 0.1627 ± 0.1101 | 0.0877 ± 0.0327 | 0.008 # | ||
| Ratio(5,6-DHET+8,9-DHET+11,12-DHET+14,15-DHET) / (5,6-EET+8,9-EET +11,12 EET +14,15-EET) | 0.1104 ± 0.0878 | 0.1188 ± 0.0946 | 1 # | 0.0541 ± 0.0262 | 0.0253 ± 0.0143 | 0.002 # | ||
| Ratio(7,8-DiHDPA+10,11-DiHDPA +13,14-DiHDPA+16,17-DiHDPA+19,20-DiHDPA) / (7,8-EDP+10,11-EDP+13,14-EDP+16,17-EDP+19,20-EDP) | 0.1369 ± 0.1095 | 0.1478 ± 0.1106 | 0.902 # | 0.0666 ± 0.0240 | 0.0336 ± 0.0143 | 0.002 # | ||
| Ratio(5,6-DiHETE+8,9-DiHETE+11,12-DiHETE+14,15-DiHETE+17,18-DiHETE) / (5,6-EEQ+ 8,9-EEQ+11,12-EEQ+14,15-EEQ+17,18-EEQ) | 0.6541 ± 0.4424 | 0.6335 ± 0.4128 | 0.909 | 0.3403 ± 0.2022 | 0.1315 ± 0.0660 | 0.002 # | ||
| Ratio (9,10-DiHOME+12,13-DiHOME) / (9,10-EpOME+12,13-EpOME) | 0.2017 ± 0.0845 | 0.1904 ± 0.1007 | 0.58 # | 0.1445 ± 0.1017 | 0.0741 ± 0.0258 | 0.008 # |
Notes: A, arterial blood; V, venous blood; A-V difference, arteriovenous difference. Bold indicates significant difference.
Table 4.
Effects of hemodialysis on free oxylipins in the CKD patients at cessation (post-HD) of hemodialysis (n = 12 each).
Table 4.
Effects of hemodialysis on free oxylipins in the CKD patients at cessation (post-HD) of hemodialysis (n = 12 each).
| Post-HD A (Mean ± SD) | Post-HD V (Mean ± SD) | p-Value, t-Test (# Paired Wilcoxon Test) | Post-HD A-V Difference (Mean ± SD) | |
|---|---|---|---|---|
| CYP epoxy-metabolites | ||||
| 5,6-EET | 0.2022 ± 0.0733 | 0.2317 ± 0.0812 | 0.303 | −0.0295 ± 0.0945 |
| 8,9-EET | 0.2672 ± 0.1586 | 0.2517 ± 0.1676 | 0.814 # | 0.0155 ± 0.1947 |
| 11,12-EET | 0.1754 ± 0.0675 | 0.2403 ± 0.1094 | 0.051 | −0.0649 ± 0.1029 |
| 14,15-EET | 0.2573 ± 0.1199 | 0.3791 ± 0.2067 | 0.049 | −0.1219 ± 0.1913 |
| 5,6-DHET | 0.0324 ± 0.0085 | 0.0321 ± 0.0104 | 0.814 # | 0.0002 ± 0.0047 |
| 8,9-DHET | 0.0910 ± 0.0281 | 0.0847 ± 0.0241 | 0.388 # | 0.0063 ± 0.0207 |
| 11,12-DHET | 0.1486 ± 0.0443 | 0.1454 ± 0.0379 | 0.631 | 0.0032 ± 0.0226 |
| 14,15-DHET | 0.2038 ± 0.0569 | 0.2062 ± 0.0477 | 0.854 | −0.0024 ± 0.0444 |
| 7,8-EDP | 0.1852 ± 0.1197 | 0.2412 ± 0.1309 | 0.076 | −0.0560 ± 0.0993 |
| 10,11-EDP | 0.1358 ± 0.0948 | 0.1805 ± 0.1004 | 0.079 | −0.0447 ± 0.0800 |
| 13,14-EDP | 0.1273 ± 0.0808 | 0.1452 ± 0.0769 | 0.439 | −0.0179 ± 0.0774 |
| 16,17-EDP | 0.1922 ± 0.0843 | 0.2284 ± 0.0893 | 0.124 | −0.0362 ± 0.0753 |
| 19,20-EDP | 0.2899 ± 0.1669 | 0.3587 ± 0.1754 | 0.096 | −0.0688 ± 0.1311 |
| 7,8-DiHDPA | 0.0234 ± 0.0210 | 0.0330 ± 0.0115 | 0.388 # | −0.0097 ± 0.0267 |
| 10,11-DiHDPA | 0.0581 ± 0.0148 | 0.0554 ± 0.0125 | 0.182 # | 0.0027 ± 0.0067 |
| 13,14-DiHDPA | 0.0696 ± 0.0222 | 0.0661 ± 0.0178 | 0.272 # | 0.0035 ± 0.0090 |
| 16,17-DiHDPA | 0.0865 ± 0.0293 | 0.0809 ± 0.0206 | 0.695 # | 0.0056 ± 0.0148 |
| 19,20-DiHDPA | 0.7042 ± 0.3142 | 0.6061 ± 0.2823 | 0.06 # | 0.0981 ± 0.1753 |
| 8,9-EEQ | 0.0663 ± 0.0419 | 0.0700 ± 0.0284 | 0.791 | −0.0037 ± 0.0472 |
| 11,12-EEQ | 0.0435 ± 0.0354 | 0.0490 ± 0.0252 | 0.388 # | −0.0055 ± 0.0418 |
| 14,15-EEQ | 0.0607 ± 0.0349 | 0.0655 ± 0.0298 | 0.651 | −0.0049 ± 0.0363 |
| 17,18-EEQ | 0.0830 ± 0.0590 | 0.0936 ± 0.0518 | 0.602 | −0.0106 ± 0.0684 |
| 5,6-DiHETE | 0.0980 ± 0.0508 | 0.0799 ± 0.0403 | 0.01 | 0.0181 ± 0.0322 |
| 8,9-DiHETE | 0.0233 ± 0.0063 | 0.0202 ± 0.0041 | 0.174 | 0.0031 ± 0.0074 |
| 11,12-DiHETE | 0.0160 ± 0.0026 | 0.0155 ± 0.0023 | 0.461 | 0.0004 ± 0.0020 |
| 14,15-DiHETE | 0.0181 ± 0.0080 | 0.0167 ± 0.0073 | 0.525 | 0.0015 ± 0.0078 |
| 17,18-DiHETE | 0.1661 ± 0.0704 | 0.1476 ± 0.0603 | 0.337 | 0.0185 ± 0.0640 |
| 9,10-EpOME | 4.6969 ± 3.1153 | 6.2952 ± 5.0363 | 0.182 # | −1.5984 ± 3.6422 |
| 12,13-EpOME | 6.8441 ± 3.8513 | 8.4182 ± 6.5171 | 0.239 # | −1.5740 ± 4.1754 |
| 9,10-DiHOME | 1.7695 ± 1.1345 | 1.7400 ± 1.1665 | 0.754 # | 0.0295 ± 0.2442 |
| 12,13-DiHOME | 3.3260 ± 2.0952 | 3.4845 ± 2.2350 | 0.347 # | −0.1585 ± 0.4498 |
| LOX metabolites | ||||
| 5-HETE | 0.1100 ± 0.0465 | 0.1147 ± 0.0494 | 0.365 | −0.0046 ± 0.0169 |
| 8-HETE | 0.0672 ± 0.0281 | 0.0667 ± 0.0298 | 0.943 | 0.0006 ± 0.0273 |
| 9-HETE | 0.1016 ± 0.0158 | 0.1058 ± 0.0218 | 0.31 | −0.0042 ± 0.0136 |
| 11-HETE | 0.0739 ± 0.0265 | 0.0800 ± 0.0305 | 0.262 | −0.0061 ± 0.0180 |
| 12-HETE | 0.5660 ± 0.3630 | 0.4319 ± 0.2449 | 0.094 | 0.1341 ± 0.2531 |
| 15-HETE | 0.1789 ± 0.0583 | 0.1841 ± 0.0689 | 0.536 | −0.0052 ± 0.0282 |
| 4-HDHA | 0.0821 ± 0.0209 | 0.0844 ± 0.0239 | 0.695 # | −0.0023 ± 0.0109 |
| 7-HDHA | 0.0852 ± 0.0189 | 0.0875 ± 0.0186 | 0.594 | −0.0024 ± 0.0148 |
| 8-HDHA | 0.0779 ± 0.0221 | 0.0763 ± 0.0241 | 0.584 | 0.0016 ± 0.0098 |
| 10-HDHA | 0.0622 ± 0.0148 | 0.0636 ± 0.0173 | 0.658 | −0.0014 ± 0.0105 |
| 11-HDHA | 0.0722 ± 0.0107 | 0.0766 ± 0.0117 | 0.081 | −0.0044 ± 0.0079 |
| 13-HDHA | 0.0653 ± 0.0131 | 0.0671 ± 0.0143 | 0.272 # | −0.0018 ± 0.0065 |
| 14-HDHA | 0.1165 ± 0.0638 | 0.1098 ± 0.0627 | 0.308 # | 0.0067 ± 0.0218 |
| 16-HDHA | 0.0589 ± 0.0142 | 0.0610 ± 0.0122 | 0.389 | −0.0022 ± 0.0083 |
| 17-HDHA | 0.1191 ± 0.0301 | 0.1196 ± 0.0325 | 0.924 | −0.0005 ± 0.0174 |
| 20-HDHA | 0.2074 ± 0.0539 | 0.2079 ± 0.0489 | 0.347 # | −0.0004 ± 0.0370 |
| 5-HEPE | 0.1032 ± 0.0315 | 0.0962 ± 0.0336 | 0.171 | 0.0070 ± 0.0166 |
| 8-HEPE | 0.0352 ± 0.0045 | 0.0327 ± 0.0051 | 0.128 | 0.0025 ± 0.0053 |
| 9-HEPE | 0.0756 ± 0.0137 | 0.0703 ± 0.0095 | 0.155 | 0.0053 ± 0.0121 |
| 11-HEPE | 0.0847 ± 0.0025 | 0.0856 ± 0.0035 | 0.875 # | −0.0008 ± 0.0045 |
| 12-HEPE | 0.1595 ± 0.0220 | 0.1540 ± 0.0228 | 0.136 # | 0.0055 ± 0.0158 |
| 15-HEPE | 0.1078 ± 0.0123 | 0.1036 ± 0.0105 | 0.084 # | 0.0042 ± 0.0085 |
| 18-HEPE | 0.1779 ± 0.0413 | 0.1596 ± 0.0278 | 0.07 # | 0.0183 ± 0.0316 |
| 9-HODE | 8.5190 ± 13.8940 | 8.3464 ± 12.8721 | 0.347 # | 0.1726 ± 1.8733 |
| 13-HODE | 4.3069 ± 3.0614 | 4.4488 ± 2.9851 | 0.53 # | −0.1419 ± 0.6334 |
| CYP ω/(ω−1) metabolites | ||||
| 16-HETE | 0.0626 ± 0.0120 | 0.0631 ± 0.0114 | 0.772 | −0.0006 ± 0.0069 |
| 17-HETE | 0.0242 ± 0.0028 | 0.0240 ± 0.0029 | 0.713 | 0.0002 ± 0.0018 |
| 18-HETE | 0.0456 ± 0.0082 | 0.0451 ± 0.0072 | 0.684 | 0.0005 ± 0.0044 |
| 19-HETE | 0.0387 ± 0.0291 | 0.0392 ± 0.0269 | 0.638 # | −0.0005 ± 0.0216 |
| 20-HETE | 0.1457 ± 0.1239 | 0.0709 ± 0.0885 | 0.084 # | 0.0747 ± 0.1464 |
| 22-HDHA | 0.0843 ± 0.0662 | 0.0754 ± 0.0632 | 0.177 | 0.0089 ± 0.0213 |
| 20-HEPE | 0.0900 ± 0.0271 | 0.0856 ± 0.0284 | 0.638 # | 0.0045 ± 0.0171 |
Notes: A, arterial blood; V, venous blood; A-V difference, arteriovenous difference.
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Liu, T.; Dogan, I.; Rothe, M.; Kunz, J.V.; Knauf, F.; Gollasch, M.; Luft, F.C.; Gollasch, B. Hemodialysis and Plasma Oxylipin Biotransformation in Peripheral Tissue. Metabolites 2022, 12, 34. https://doi.org/10.3390/metabo12010034
AMA Style
Liu T, Dogan I, Rothe M, Kunz JV, Knauf F, Gollasch M, Luft FC, Gollasch B. Hemodialysis and Plasma Oxylipin Biotransformation in Peripheral Tissue. Metabolites. 2022; 12(1):34. https://doi.org/10.3390/metabo12010034
Chicago/Turabian StyleLiu, Tong, Inci Dogan, Michael Rothe, Julius V. Kunz, Felix Knauf, Maik Gollasch, Friedrich C. Luft, and Benjamin Gollasch. 2022. "Hemodialysis and Plasma Oxylipin Biotransformation in Peripheral Tissue" Metabolites 12, no. 1: 34. https://doi.org/10.3390/metabo12010034
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