Hypoxia and oxidative stress markers in pediatric patients undergoing hemodialysis: cross section study

Abstract

Background

Tissue injury due to hypoxia and/or free radicals is common in a variety of disease processes. This cross-sectional study aimed to investigate effect of chronic kidney diseases (CKD) and hemodialysis (HD) on hypoxia and oxidative stress biomarkers.

Methods

Forty pediatric patients with CKD on HD and 20 healthy children were recruited. Plasma hypoxia induced factor-1α (HIF-1α), vascular endothelial growth factor (VEGF) were measured by specific ELISA kits while, total antioxidant capacity (TAC), total peroxide (TPX), pyruvate and lactate by enzymatic/chemical colorimetric methods. Oxidative stress index (OSI) and lactate/pyruvate (L/P) ratio were calculated.

Results

TAC was significantly lower while TPX, OSI and VEGF were higher in patients at before- and after-dialysis session than controls. Lactate and HIF-1α levels were significantly higher at before-dialysis session than controls. Before dialysis, TAC and L/P ratio were lower than after-dialysis. In before-dialysis session, VEGF correlated positively with pyruvate, HIF-1α and OSI correlated positively with TPX, but, negatively with TAC. In after-dialysis session, HIF-1α correlated negatively with TPX and OSI; while, OSI correlated positively with TPX.

Conclusions

CKD patients succumb considerable tissue hypoxia with oxidative stress. Hemodialysis ameliorated hypoxia but lowered antioxidants as evidenced by decreased levels of HIF-1α and TAC at before- compared to after-dialysis levels.

Background

In chronic kidney diseases (CKD), as a worldwide public health problem, there is a functional loss of renal glomeruli caused by glomerular or interstitial renal diseases [1]. Endothelial dysfunction and cardiovascular disease are the major cause of mortality in patients on maintenance hemodialysis (HD) and peritoneal dialysis (PD) [2]. Endothelial dysfunction could be a consequence of accumulation of uremic toxins functioning as inhibitors of endothelial function (Cross et al., 2001). Pathogenetic role for impaired vasculogenesis and reduction in peritubular capillary density in the progression of CKD was demonstrated in animal models and human studies [3].

Hypoxia is a state of reduced oxygen pressure below a critical threshold, which restricts the function of organs, tissues and cells. A decrease in oxygen tensions of the kidney was demonstrated in a number of experimental models of CKD. This led to the broad recognition that chronic cellular hypoxia of the kidney is the final common pathway in the progression of CKD leading to eventual kidney failure [4]. A group of transcription factors, designated hypoxia inducible transcription factors, are specifically induced by low tissue oxygen tension and are likely to have a role in the oxygen-sensing mechanism and reparative reaction. Hypoxia induced factor-1 (HIF-1) is a heterodimeric protein consisting of an alpha subunit (with 3 isoforms -1α, -2α and -3α), and a beta subunit (also known as the aryl hydrocarbon receptor nuclear translocator, ARNT), which is constitutively expressed [5]. In normoxia, the regulatory HIF-1α subunit is hydroxylated on two prolines by iron dependent prolyl-hydroxylases to be degraded through the ubiquitin-proteasome pathway - via its interaction with the von Hippel-Lindau tumor suppressor protein. Under cellular hypoxia, inhibition of such hydroxylases spares HIF-1α that translocates into nucleus. There, it heterodimerizes with HIF-1β and binds to the hypoxic response elements of target gene regulatory sequences. This induces the transcription of genes implicated in the control of metabolism and angiogenesis, as well as apoptosis and cellular stress response [6].

Genes activated by HIF can be schematically classified into three functional groups that could halt CKD progression. (1) Proteins participating in erythropoiesis, thereby increasing tissue oxygen delivery, e.g., erythropoietin, transferrin, transferrin receptor, heme oxygenase-1. (2) Proteins that increase local oxygen delivery to tissues, e.g., inducible nitric oxide synthesis and vascular endothelial growth factor (VEGF). (3) Proteins required for adaptation to anaerobic cellular metabolism: glucose transporter-1 and most glycolytic enzymes [7].

VEGF, a 35kDa molecule, is a chemoattractant that enables the homing of regenerative endothelial cells into local vascular lesions [8]. In the aging kidneys, loss of VEGF expression in podocytes was associated with the reduced number of endothelial progenitor cells [9]. However, there is still a considerable debate over the vasculoprotective vs. pro-inflammatory effects of VEGF [10]. VEGF is known to play multiple roles in normal renal physiology and renal disorders. In the kidney, VEGF is expressed in the visceral epithelial cells of glomeruli, proximal and distal convoluted tubules and can induce nephrogenesis and vasculogenesis. It promotes cellular proliferation, differentiation, and survival and contributes to interstitial matrix remodeling [11].

Oxidative stress is an imbalanced generation of reactive oxygen species (ROS) vs. the counteracting antioxidants. In CKD, such stress is multifactorial. Uremic toxins, interactions between circulating mononuclear cells and bioincompatible dialyzers or contaminated dialysate, and infections, can act as triggers [12]. In addition, dialysis patients have reduced levels of vitamins C and E, selenium, and β-carotene, and they show lowered antioxidant enzyme activities; paraoxonase, catalase, superoxide dismutase, heme oxygenase and glutathione peroxidase [13]. Although increased oxidative stress is increasingly recognized as an important metabolic event in adults with CKD [14], there are few studies utilizing global biomarkers of oxidative stress in children with CKD [15,16].

To our knowledge, there are a few studies addressing systemic oxidative stress and cellular hypoxia biomarkers together in children with CKD on regular hemodialysis. We suggested that impaired response to tissue hypoxia and oxidative stress would be major determinants to clinical outcomes in such patients. This cross-sectional study aimed at assessing the effect of CKD as well as maintenance HD on plasma oxidative stress markers [total anti-oxidant capacity (TAC), total peroxide (TPX) and oxidative stress index (OSI)] and standard hypoxia biomarkers [lactate, pyruvate and lactate/pyruvate (L/P) ratio, and VEGF] as well as HIF-1α in CKD pediatric patients before and after HD session. HIF-1α, the key regulatory cellular hypoxia effector is investigated for the first-time to our knowledge as a plasma biomarker. The relationship among these markers will be statistically analyzed.

Methods

Study groups

Forty children and adolescents with CKD (25 male and 15 female) on maintenance HD with an age range of 6–15 years [12.83±1.89 years, mean+/− standard deviation (SD)] were voluntarily recruited to this cross section study at the Pediatric Nephrology and Dialysis Unit, Assiut Children University Hospital, Assiut, Egypt, during the period from January 2010 to September 2010. At the time of the study, all the patients were on regular three HD sessions per week; each time for 3–4 h (total 12 h weekly) for more than 3 months with polysulfone dialyzing membranes, after creatinine clearance had fallen below 8–12 mL/min and/or pharmacological treatment and diet had proved inadequate to control clinical symptoms. The mean dialysis duration was 2.18±1.36 years (range: 1–7 years). All patients were on dietary protein restriction, 1 g/kg body weight per day. The dialysate used was a standard ionic composition and bicarbonate-based buffer (Na⁺ 138 mmol/L, HCO₃^- 36.6 mmol/L, K⁺ 1.5 mmol/L, Ca²⁺ 1.25 to 1.75 mmol/L, Mg²⁺ 0.75 mmol/L) for all cases. The blood flow was 120–150 mL/min and dialysis fluid was used at a flow rate of 240–300 mL/min. Vascular access was arteriovenous fistula in the upper limbs. The causes of CKD were: urolithiasis (n= 11), recurrent pyelonephritis with vesico-ureteral reflux (n= 8), chronic glomerulopathies (n = 16), hypoplastic-dysplastic kidney (n = 2), posterior urethral valve (n= 2) and cystinosis (n= 1). The healthy control group consisted of 20 age- and sex-matching volunteers aging 6–15 years (12.10±2.59 years) from those admitted for routine check-up.

At the time of entry, none of the participants was receiving non-steroidal anti-inflammatory drugs, immunosuppressive therapy or any other drugs that might have interfered with the oxidative stress, and none had uncontrolled hypertension or a history of seizure. Patients with infections, vasculitides, or respiratory, metabolic and hepatic diseases were excluded. Control subjects were on a normal diet without vitamin supplementation and were free from any infection or medication. Routine analyses showed that controls had normal renal function tests and no disorders of lipid metabolism. Both patients and controls were nonsmokers. The study was approved by the local ethics committee and was conducted in accordance with the Declaration of Helsinki and informed consent was obtained in every case from their legal guardians. Demographic, clinical and biochemical characteristics of all participants were reported.

Laboratory investigations

Blood samples (5 mL) with and without EDTA/sodium fluoride as anticoagulant were obtained via venipuncture after the participants had fasted overnight (between 8.30 P.M. and 9.30 A.M.), and serum and plasma were separated and aliquot frozen at −80°C till used. In HD patients, venous blood samples were drawn immediately before and after hemodialysis session. Baseline laboratory investigations were carried out for all patients and controls including complete blood count, serum urea and creatinine, arterial pH, arterial blood gases and infection screening, which included blood and urinary cultures by standard methods. Arterial pH, PaO₂, PaCO₂, HCO₃^- were determined using a pH/blood gas analyzer on anaerobically collected blood drawn in ice-cold, heparinized glass syringes.

ELISA assays were utilized to measure each of VEGF (Cat# ELH-VEGF-001, RayBiotech, Inc, Norcross GA 30092 - lower detection limit is 10 pg/mL) and HIF-1α (Cat# DYC1935-5, R&D Systems, Minneapolis, MN 55413, USA - lower detection limit is 3 pg/mL) with specific capture and biotinylated detection antibodies and Streptavidin-Horse Radish Peroxidase/tetramethylbenzidine as the detection system. Total antioxidant capacity was estimated according to the colorimetric method of Koracevic et al. [17] with uric acid as standard. Total plasma peroxide concentrations were determined using the colorimetric FOX2 method with H₂O₂ standard as modified by Harma et al. [18]. Briefly, 250 μM FOX2 reagent (9.8 mg ammonium ferrous sulfate in 10 mL of 250 mmol H₂SO₄ was added to 90 mL HPLC-grade methanol containing 79.2 mg butylated hydroxytoluene, finally, 7.6 mg xylenol orange was added. The blank reagent is devoted of ferrous sulfate. 200 μL of plasma was incubated with 1.8 mL FOX2 or blank reagent at room temperature for 30 min. Tubes were centrifuged at 12,000g for 10 min and absorbance of clear supernatant was determined at 560 nm vs. blank. The coefficient of variation for individual plasma samples was less than 5%. Percent ratio of TPX to TAC level is the oxidative stress index (OSI; = TPX, μmol/L/TAC, μmol/L X 100) [18,19]. Pyruvate was measured following the decrease in UV-absorbance of NADH.H⁺ according to instructions of the manufacturer (Cat# 180 000, Greiner Diagnostics GmbH, D-79353 Bahlingen, Germany). Lactate was colorimetrically measured using lactate oxidase/peroxidase/tribromo-hydroxybenzoic acid-4-aminoantipyrine according to instructions of the manufacturer (Cat# 274 001, Spectrum Biodiagnostics, Cairo, Egypt). Lactate/pyruvate ratio was calculated.

Data analysis

Statistical Science for Social Package (SPSS Inc, USA) software computer program version 12 was used for data analysis. Data were presented as mean -/+ SD and minimum - maximum or number and percentage (n, %) as appropriate. For comparison of two groups the nonparametric test for independent variables and paired and unpaired student “t” test for parametric variables were used while, comparisons of multiple groups were done using one-way analysis of variation for parametric variables. Spearman’s correlation test was used for parametric variables within each group. For all tests, a probability (P) <0.05 was considered significant.

Results

Table 1 showed relevant participants’ characteristics. Compare to healthy controls, hemoglobin, pH, PCO₂ and HCO₃^- were significantly higher (P <0.001) while, creatinine, urea and PCO₂ were significantly lower (P <0.001) than patients.

Table 1.

Demographic and clinical characteristics of studied groups

Parameters	Controls(n = 20)	Patients(n = 40)	Significance P <
Age (years)	12.10 ± 2.59	12.83 ± 1.89	0.126
	6.00 - 15.00	6.00 - 15.00
Gender
Male	10 (50.00%)	25 (62.50%)
Female	10 (50.00%)	15 (37.50%)
Time on hemodialysis (years)	-	2.18 ± 1.36	-
		1.00 - 7.00
Hemoglobin (gram/dL)	11.50 ± 0.94	9.35 ± 0.85	0.001
	10.00 - 12.90	8.70 - 11.60
Creatinine (μmol/L)	93.6 ± 22.41	468.00 ± 177.55	0.001
	58.00 - 127.00	157.00 - 750.00
Urea (mg/dL)	22.90 ± 5.64	196.10 ± 23.50	0.001
	15.00 - 32.00	150.00 - 229.00
pH	7.39 ± 0.02	7.32 ± 0.02	0.001
	7.35 - 7.40	7.30 - 7.35
PCO2 (mmHg)	38.95 ± 1.10	31.74 ± 6.92	0.001
	37.00 - 40.00	18.20 - 43.10
PO2 (mmHg)	87.59 ± 11.5	112.56 ± 24.35	0.001
	88.00 - 96.00	87.00 - 169.00
HCO3- (μmol/L)	22.90 ± 0.64	15.66 ± 4.13	0.001
	22.00 - 24.00	8.10 - 21.20

Data are express as mean ± SD minimum - maximum or number (%); significance versus controls.

Total antioxidant capacity was significantly lower while TPX, OSI and VEGF were significantly higher in patients at before- and after-dialysis session than healthy controls. Lactate and HIF-1α levels were significantly higher (P <0.019, P <0.002) at before-dialysis session compared to healthy controls. Before dialysis, TAC and L/P ratio were higher (P <0.036, P <0.001) compared to after-dialysis level (Table 2).

Table 2.

Changes in the plasma levels of the investigated cellular hypoxia and oxidative stress biomarkers in studied groups

Parameters	Controls(n = 20)	Before dialysis(n = 40)	After dialysis(n = 40)
Total antioxidant capacity (mmol/L)	0.66 ± 0.05	0.60 ± 0.05	0.57 ± 0.06
		*P <0.001	*P <0.001
			**P <0.036
Total peroxides (μmol/L)	30.50 ± 12.76	38.50 ± 12.52	37.25 ± 12.92
		*P <0.021	*P <0.050
			**P = 0.673
Oxidative stress index	4.63 ± 1.89	6.52 ± 2.30	6.53 ± 2.23
		*P <0.002	*P <0.002
			**P = 0.983
Lactate (mg/dL)	12.06 ± 3.66	15.90 ± 6.56	13.34 ± 5.99
		*P <0.019	*P = 0.425
			**P = 0.061
Pyruvate (mg/dL)	5.02 ± 3.67	6.47 ± 8.69	6.84 ± 4.02
		*P = 0.402	*P = 0.280
			**P = 0.777
Lactate/pyruvate ratio	3.36 ± 1.69	4.07 ± 2.70	2.57 ± 1.76
		*P = 0.234	*P = 0.187
			**P <0.007
Vascular endothelial growth factor (pg/mL)	4.00 ± 1.26	32.91 ± 24.40	33.15±24.58
		*P <0.001	*P <0.001
			**P =0.964
Hypoxia-induced factor- 1α (pg/mL)	29.45 ± 10.07	57.02 ± 41.86	43.29 ± 26.67
		*P <0.002	*P = 0.115
			**P = 0.120

Data shown are mean ± SD mean -/+ SD (minimum - maximum); *P: significance vs. healthy controls; **P: significance vs. before-dialysis session.

At before-dialysis session, duration of disease positively correlated with HIP-1α (r = 0.677, P <0.001) but negatively correlated with VEGF (r = −0.486, P < 0.001); VEGF positively correlated with each of pyruvate (r = 0.316, P <0.047) and HIF-1α (r = 0.374, P <0.018), and, OSI positively correlated with TPX (r = 0.969, P <0.001), but, negatively correlated with TAC (r = −0.469, P <0.002). At after-dialysis session, HIF-1α negatively correlated with each of TPX (r = −0.529, P <0.001) and OSI (r = −0.459, P <0.003); while, OSI positively correlated with TPX (r = 0.944, P <0.001) (Table 3).

Table 3.

Correlations among the measured parameters in CKD patients at before- and after-dialysis settings

Parameters	Duration	Lactate	Pyruvate	Lactate/Pyruvate ratio	HIF-1α	VEGF	TAC	Total peroxides
Lactate
Before dialysis	−0.208(0.197)
After dialysis	−0.184(0.256)
Pyruvate
Before dialysis	−0.193(0.234)	0.282(0.078)
After dialysis	−0.095(0.580)	0.533(0.001)
Lactate/pyruvate ratio
Before dialysis	−0.067(0.640)	0.513(0.001)	−0.457(0.003)
After dialysis	−0.037(0.824)	0.212(0.188)	−0.630(0.001)
HIF-1α
Before dialysis	0.677 (0.001)	0.125(0.442)	−0.149(0.359)	0.220(0.173)
After dialysis	−0.186(0.249)	0.048(0.770)	0.015(0.929)	0.229(0.156)
VEGF
Before dialysis	−0.486(0.001)	0.291(0.069)	0.316(0.047)	0.027(0.866)	0.374(0.018)
After dialysis	0.189 (0.243)	0.125 (0.441)	0.059(0718)	0.098(0.545)	−0.163(0.314)
TAC
Before dialysis	0.265 (0.098)	−0.174(0.283)	−0.147(0.366)	−0.142(0.384)	0.068(0.676)	−0.206(0.202)
After dialysis	0.022 (0.894)	0.048(0.771)	−0.148(0.361)	0.105(0.517)	−0.220(0.173)	−0147(0.366)
Total peroxides
Before dialysis	−0.017(0.918)	−0.032(0.843)	−0.194(0.230)	0.128(0.430)	−0.138(0.394)	0.229(0.156)	−0.247(0.124)
After dialysis	0.283 (0.077)	0.036(0.825)	0.070(0.668)	−0.204(0.207)	−0.529(0.001)	−0.006(0.972)	0.168(0.301)
Oxidative stress index
Before dialysis	−0.093(0.566)	−0.002(0.989)	0.161(0.322)	0.156(0.337)	−0.172(0.287)	0.245(0.128)	−0.469(0.002)	0.969(0.001)
After dialysis	0.285 (0.075)	0.015(0.929)	0.113(0.489)	−0.240(0.136)	−0.459(0.003)	0.062(0.705)	−0.155(0.340)	0.944(0.001)

Data shown are r value (P< value). HIF-1α= hypoxia induced factor-1α, VEGF= vascular endothelial growth factor. TAC = total antioxidant capacity.

Discussion

Relative hypoxia, as the major activator of hypoxia-inducible factor, is detectable in chronic kidney disease tissues irrespective of etiology and is thought to result from a combination of structural and functional changes that include; decreased peritubular blood flow associated with glomerular injury, capillary rarefaction, vasoconstriction, luminal narrowing of atherosclerotic vessels, increased oxygen demand from hyperfiltration and tubular hypertrophy, limited oxygen diffusion as a consequence of extracellular matrix expansion, and renal anemia [20]. Chronically ill patients on HD exist in unique situation because their survival is dependent upon treatments which are operational only 12–18 h per week in six hour sessions. This procedure subjects these patients to innumerable abrupt alterations in the internal environment, especially rapid shifts in pH [21]. In this study, the before-dialysis levels of plasma lactate, HIF-1α and VEGF were significantly higher compared to healthy controls while, lactate/pyruvate ratio was significantly higher compared to after-dialysis level. The lactate level tended to fall with dialysis, at least in part attributable to this procedure. Also, VEGF plasma level was significantly elevated in after-dialysis session compared to healthy controls. Hypoxia is accompanied by a significant increase in blood lactate and severe systemic acidosis as a direct effect of anaerobic metabolism. Beside the direct effects of anaerobic metabolism, catecholamine-induced stimulation of cellular glycolysis and subsequent synthesis of lactate worsens the increased systemic lactate. In such conditions, accumulated pyruvate is metabolized into lactate. Determination of the lactate/pyruvate ratio thus provides a more accurate statement of tissue metabolism and the cytosolic redox condition [22]. As a correction measure, hypoxia-induced HIF-1 upregulates the expression of monocarboxylate transporter 4, which mediates lactic acid efflux, and of membrane-bound carbonic anhydrase IX, which catalyzes the conversion of extracellular CO₂ to carbonic acid. The latter contributes to the acidification of the extracellular space and enables an increase in intracellular pH through the subsequent uptake of HCO₃^- (a weak base). HIF-1 directly activates the expression of several pro-angiogenic factors, the best characterized of which is VEGF. This event promotes the formation of new blood vessels, thus restoring the supply of oxygen and nutrients [23]. Increased HIF expression has been found in animal models of CKD and in renal biopsy material from patients with diabetic nephropathy and other forms of renal disease [20,24,25].

In this study, HIF-1α was investigated as a plasma biomarker for the first-time world-wide particularly in CKD. At before-dialysis session, plasma VEGF positively correlated with each of pyruvate, and HIF-1α. The positive correlation between HIF-1α and VEGF is expected as VEGF gene is HIF-1α-inducable to increase local oxygen delivery to tissues. This indicates the utility of HIF-1α as plasma biomarker of cellular hypoxia in CKD that reflects the disease outcomes. However, a reparative role for the induced HIF-1 in CKD is questionable in light of blockade of the induction of erythropoietin by the accumulating uremic toxins [11,26-28].

The role of ROS and/or decreased antioxidant activity in the development of CKD complications, such as atherosclerosis and related cardiovascular disturbances is well-established [14]. In this study children with CKD showed increased plasma TPX and OSI and decreased TAC levels at both of before- and after-dialysis compared to healthy controls. Increased oxidative stress has been reported in numerous adult studies in patients with CKD [29]. However, there are few reports on the anti-oxidant system in children with CKD [15,30,31]. Zwolińska et al. [15] reported increased lipid peroxidation, monitored by plasma and erythrocyte malondialdehyde (MDA), together with decreased superoxide dismutase, catalase and glutathione peroxidase activities in children with chronic renal failure before-dialysis as compared to healthy age-matched subjects. The results of our study show significant decreased in TAC levels in after-dialysis compared to before-dialysis which may be related to the loss of antioxidants during dialysis. Turi et al. [32] observed an increase of erythrocytic-MDA in HD children. Daschner et al. [33] showed high plasma MDA levels in a group of ten pediatric patients on HD and in eleven children on peritoneal dialysis. Other studies indicate an impairment of antioxidant systems and augmentation of oxidants during HD sessions in adult patients with end stage renal diseases [34-36].

One reason for oxidative stress in patients with renal failure is the underlying disease itself. Renal toxicity and immunological disorders of the kidney result in an elevated formation of ROS which is active in the pathogenesis of kidney disease. However, treatment procedures were also shown to induce oxidative stress. During HD, incomplete correction of the uremic toxicity together with the untoward effects of dialysis, malnutrition and the progressive worsening of clinical condition, can lead to oxidative stress. The later is caused by an abnormal production of oxidants including ROS and uremic toxins with pro-oxidant function correlating defective antioxidant protection. Bioincompatibility of dialysis membranes represents an important source of ROS. Losses of antioxidants via dialysis are the factors that may be responsible for the imbalance between pro-oxidative and antioxidative mechanisms in HD patients [37]. Total antioxidant capacity in renal failure group is diminished to a great extent due to antioxidant exhaustion and inhibition [38]. Oxidative stress can also accelerate the apoptosis of leukocytes in HD patients [39]. The activation of neutrophils and the complement pathway during HD session as the result of interactions of the blood with the dialysis membrane and endotoxin contaminated dialysate, iron overload, the presence of advanced glycation end products, high homocysteine levels, intradialytic cytokine activation, among others, could play a role [40].

However, Drai et al. [41] reported that chronic renal disease patients admitted to HD, presented enhanced levels of MDA and oxidized glutathione, and decreased concentrations of glutathione and glutathione peroxidase, without any changes in plasma levels of TAC, vitamins A and E. Another clinical study reported that TAC measured as Trolox equivalents was higher in HD patients compared with control group. Although MDA and 4-hydroxynonenal levels were also increased, plasma thiols were lower and α-tocopherol was not altered [42]. After HD, plasma levels of thiols, MDA, 4-hydroxynonenal and TAC were normalized. Similar results were found by Samouilidou and Grapsa [43]. Difference in the biomarker used and dietary antioxidant supplementations could be a major cause of such discrepancy.

In our healthy controls, L/P ratio positively correlated TAC; HIF-1α positively correlated with each of L/P ratio and TAC; VEGF positively correlated with each of TPX and OSI. At after-dialysis, HIF-1α negatively correlated with each of TPX and OSI. In this respect, several reports showed an inverse correlation between MDA serum concentration and hemoglobin in the blood of HD patients [29,31]. A recent report connected induced HIF-1α and increases in reactive O₂ species [44]. The accelerated LPO at the low Hb level might be explained by oxidative stress due to the anemic condition itself. Anemic patients showed an increased frequency of ventilation at peak exercise because of the limited oxygen transport capacity, implying anaerobic metabolism due to hypoxemia and ischemia. It is possible to suggest that hypoxic patients showing high HIF-1α would have good prognosis since their cellular response to hypoxia is functional - providing that downstream effectors such as VEGF and erythropoietin are activated.

Conclusion

There is considerable cellular hypoxia in pediatric patients with CKD that leads to oxidative stress. HD leads to decrease hypoxia and increase loss of antioxidants as evidenced by decreased levels of HIF-1α and TAC at before- compared to after-dialysis settings. The resulting oxidative stress could contribute to the long-term complications in uremic patients. In compensation, VEGF levels increases to improve oxygen delivery to hypoxic tissue. Further longitudinal studies are necessary to establish the relationship between plasma markers of hypoxia and oxidative stress and clinical outcomes of CKD on maintained HD - particularly utilizing interventions such as antioxidant supplements and improved aeriation. Longitudinal studies are mandatory since preliminary data showed that low blood gases and hemoglobin correlating with high hypoxia biomarkers are fatal.

Limitation of the study

Our study has several limitations that necessitate further investigations. By nature, a cross-sectional study would not derive a cause/effect conclusion among the investigated parameters and CKD and/or HD. Second, blood gases, pH and bicarbonate were analyzed before dialysis only because of local limitations. Third, the limited number of participants did not allow statistically meaningful subgrouping according to underlying cause of CDK.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

The authors EAH, TBA, AOM, ARA and THM have made substantial contributions to the concept and design of the study, the acquisition, analysis and interpretation of data, and in drafting the manuscript or critically revising it for important intellectual content. The authors TBA, AOM and THM measured the estimated biochemical parameters and ARA collected the data sheets and blood samples from patients. The authors have also given final approval of the version to be published. Each author has participated sufficiently in the work to take public responsibility for appropriate sections of the content. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-2369/13/136/prepub

Acknowledgements

The authors appreciate the collaboration of the subjects and their parents for their participated in this study.