Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2009 Aug 21:10:388.
doi: 10.1186/1471-2164-10-388.

Mitochondrial dysregulation and oxidative stress in patients with chronic kidney disease

Affiliations

Mitochondrial dysregulation and oxidative stress in patients with chronic kidney disease

Simona Granata et al. BMC Genomics. .

Abstract

Background: Chronic renal disease (CKD) is characterized by complex changes in cell metabolism leading to an increased production of oxygen radicals, that, in turn has been suggested to play a key role in numerous clinical complications of this pathological condition. Several reports have focused on the identification of biological elements involved in the development of systemic biochemical alterations in CKD, but this abundant literature results fragmented and not exhaustive.

Results: To better define the cellular machinery associated to this condition, we employed a high-throughput genomic approach based on a whole transcriptomic analysis associated with classical molecular methodologies. The genomic screening of peripheral blood mononuclear cells revealed that 44 genes were up-regulated in both CKD patients in conservative treatment (CKD, n = 9) and hemodialysis (HD, n = 17) compared to healthy subjects (HS, n = 8) (p < 0.001, FDR = 1%). Functional analysis demonstrated that 11/44 genes were involved in the oxidative phosphorylation system. Western blotting for COXI and COXIV, key constituents of the complex IV of oxidative phosphorylation system, performed on an independent testing-group (12 healthy subjects, 10 CKD and 14 HD) confirmed an higher synthesis of these subunits in CKD/HD patients compared to the control group. Only for COXI, the comparison between CKD and healthy subjects reached the statistical significance. However, complex IV activity was significantly reduced in CKD/HD patients compared to healthy subjects (p < 0.01). Finally, CKD/HD patients presented higher reactive oxygen species and 8-hydroxydeoxyguanosine levels compared to controls.

Conclusion: Taken together these results suggest, for the first time, that CKD/HD patients may have an impaired mitochondrial respiratory system and this condition may be both the consequence and the cause of an enhanced oxidative stress.

PubMed Disclaimer

Figures

Figure 1
Figure 1
"Supervised" hierarchical clustering discriminating healthy subjects (HS), chronic kidney disease (CKD) and hemodialysis (HD) patients. (A) Patients are depicted as vertical columns, with blue line in the bottom indicating healthy subjects (HS) (n = 8), green indicating (CKD II–III) (n = 9) and red indicating (HD) (n = 17) patients. Forty-nine gene probe sets (rows, with gene names shown) were used for hierarchical clustering. P-values were calculated by ANOVA. The relative level of gene expression is depicted from lowest (green) to highest (red) according to the scale shown at the top.
Figure 2
Figure 2
Functional categorization, and Ingenuity Pathway Analysis (IPA) network of the top selected genes by microarray. (A) Histogram represents the most significant canonical pathways generated using IPA software including the 44 genes discriminating the three study groups. Ratio was calculated by dividing the number of genes from our dataset that map to each single pathway by the total number of genes included into the canonical pathway. P-value was calculated using the right-tailed Fisher's Exact Test. Ratio and P-value are indicated on the left and right side of the histogram, respectively. (B) Network, algorithmically generated based on their functional and biological connectivity, was graphically represented as nodes (genes) and edges (the biological relationship between genes). Shaded nodes represented genes identified by our microarray analysis and others (empty nodes) were those that IPA automatically included because biologically linked to our genes based on evidence in the literature. Red shaded genes were those involved in oxidative phosphorylation system (OXPHOS).
Figure 3
Figure 3
KEGG pathway diagram including the 11 oxidative phosphorylation system (OXPHOS) genes selected by microarray analysis. In the upper part are shown the five respiratory chain complexes with the corresponding E.C. numbers. In the bottom part, as rectangles, are indicated the subunits of each respiratory chain complex. The subunits encoded by genes selected by microarray analysis are shown by colored (pink shaded) rectangles.
Figure 4
Figure 4
ATP5I, COX6C, COX7C and UQCRH gene expression by RT-PCR in peripheral blood mononuclear cells (PBMC) from healthy subjects (HS), chronic kidney disease (CKD II–III and CKD IV–V) and hemodialysis (HD) patients. The histograms represent the mean ± SD of ATP5I (A), COX6C (B), COX7C (C) and UQCRH (D) level of expression, determined by RT-PCR, in PBMC from 8 HS, 9 CKD II–III, 10 CKD IV–V and 30 HD patients. For all 4 genes, the expression level was significantly higher in HD and CKD IV–V compared to CKD II–III and HS.
Figure 5
Figure 5
COXI (A and B) and COXIV (C and D) protein expression in peripheral blood mononuclear cells (PBMC) from healthy subjects (HS), chronic kidney disease (CKD IV–V) and hemodialysis (HD) patients. Panel A and C show a representative western blotting experiment respectively for COXI and COXIV. The histograms represent the mean ± SD of COXI (panel B) and COXIV (panel D) protein levels in total cell lysate of 12 HS, 10 CKD IV–V and 14 HD patients assessed by Western blotting. COXI and COXIV protein level was significantly higher in HD and CKD compared to HS.
Figure 6
Figure 6
Cytochrome c oxidase (COX) activity in peripheral blood mononuclear cells (PBMC) from healthy subjects (HS), chronic kidney disease (CKD IV–V) and hemodialysis (HD) patients. Dot-plot represents the mean ± SD of COX enzymatic activity measured by following the oxidation of ferrocytochrome c at 550-540 nm in total cell lysate of 6 HS, 6 CKD and 6 HD. Activity was significantly lower in CKD IV–V and HD compared to HS. The line represents the mean value.
Figure 7
Figure 7
Intracellular reactive oxygen species (ROS) and serum 8-hydroxydeoxyguanosine (8-OHdG) levels in healthy subjects (HS), chronic kidney disease (CKD IV–V) and hemodialysis (HD) patients. The histograms represent the mean ± SD of 2',7'-Dichlorodihydrofluorescein (DCF) fluorescence (A) and serum 8-OHdG levels (B) in 12 HS, 10 CKD and 14 HD patients. DCF fluorescence in PBMC, reflecting the relative ROS levels, and the serum 8-OHdG levels were higher in HD and CKD compared to HS. In addition HD patients had higher 8-OHdG levels compared to CKD.

References

    1. Castro AF, Coresh J. CKD surveillance using laboratory data from the population-based National Health and Nutrition Examination Survey (NHANES) Am J Kidney Dis. 2009;53:S46–S55. doi: 10.1053/j.ajkd.2008.07.054. - DOI - PMC - PubMed
    1. National Kidney Foundation K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J kidney Dis. 2002;39:S1–S266. - PubMed
    1. Cibulka R, Racek J. Metabolic disorders in patients with chronic kidney failure. Physiol Res. 2007;56:697–705. - PubMed
    1. Heimburger O, Qureshi AR, Blaner WS, Berglund L, Stenvinkel P. Hand-grip muscle strength, lean body mass, and plasma proteins as markers of nutritional status in patients with chronic renal failure close to start of dialysis therapy. Am J Kidney Dis. 2000;36:1213–1225. doi: 10.1053/ajkd.2000.19837. - DOI - PubMed
    1. Ritz E. Metabolic syndrome and kidney disease. Blood Purif. 2008;26:59–62. doi: 10.1159/000110566. - DOI - PubMed

Publication types

Substances