41 research outputs found
Dysfunction of Nrf-2 in CF Epithelia Leads to Excess Intracellular H2O2 and Inflammatory Cytokine Production
Cystic fibrosis is characterized by recurring pulmonary exacerbations that lead to the deterioration of lung function and eventual lung failure. Excessive inflammatory responses by airway epithelia have been linked to the overproduction of the inflammatory cytokine IL-6 and IL-8. The mechanism by which this occurs is not fully understood, but normal IL-1β mediated activation of the production of these cytokines occurs via H2O2 dependent signaling. Therefore, we speculated that CFTR dysfunction causes alterations in the regulation of steady state H2O2. We found significantly elevated levels of H2O2 in three cultured epithelial cell models of CF, one primary and two immortalized. Increases in H2O2 heavily contributed to the excessive IL-6 and IL-8 production in CF epithelia. Proteomic analysis of three in vitro and two in vivo models revealed a decrease in antioxidant proteins that regulate H2O2 processing, by ≥2 fold in CF vs. matched normal controls. When cells are stimulated, differential expression in CF versus normal is enhanced; corresponding to an increase in H2O2 mediated production of IL-6 and IL-8. The cause of this redox imbalance is a decrease by ∼70% in CF cells versus normal in the expression and activity of the transcription factor Nrf-2. Inhibition of CFTR function in normal cells produced this phenotype, while N-acetyl cysteine, selenium, an activator of Nrf-2, and the overexpression of Nrf-2 all normalized H2O2 processing and decreased IL-6 and IL-8 to normal levels, in CF cells. We conclude that a paradoxical decrease in Nrf-2 driven antioxidant responses in CF epithelia results in an increase in steady state H2O2, which in turn contributes to the overproduction of the pro-inflammatory cytokines IL-6 and IL-8. Treatment with antioxidants can ameliorate exaggerated cytokine production without affecting normal responses
Methylation quantitative trait loci within the TOMM20 gene are associated with metabolic syndrome-related lipid alterations in severely obese subjects
The kinesin superfamily protein KIF17 is regulated by the same transcription factor (NRF-1) as its cargo NR2B in neurons
Nuclear respiratory factor 2 regulates the expression of the same NMDA receptor subunit genes as NRF-1: Both factors act by a concurrent and parallel mechanism to couple energy metabolism and synaptic transmission
Nuclear Respiratory Factor 1 Regulates All Ten Nuclear-encoded Subunits of Cytochrome c Oxidase in Neurons
Neuron-specific specificity protein 4 bigenomically regulates the transcription of all mitochondria- and nucleus-encoded cytochrome c
Chromosome Conformation Capture of All 13 Genomic Loci in the Transcriptional Regulation of the Multisubunit Bigenomic Cytochrome c Oxidase in Neurons*
Cytochrome c oxidase (COX) is the terminal enzyme of the electron transport chain composed of 13 subunits; three are mitochondria-encoded, and 10 are nucleus-inscribed on nine different chromosomes within the mammalian genome. The transcriptional regulation of such a multisubunit, multichromosomal, and bigenomic enzyme is mechanistically challenging. Transcription factories have been proposed as one mechanism by which genes from different genomic loci congregate to transcribe functionally related genes, and chromosome conformation capture (3C) is a means by which such interactions can be revealed. Thus far, however, only loci from the same chromosome or at most two chromosomes have been co-localized by 3C. The present study used 3C to test our hypothesis that not only the 10 genomic loci from nine chromosomes encoding the 10 nuclear subunits of COX, but also genes from three chromosomes encoding mitochondrial transcription factors A and B (Tfam, Tfb1m, and Tfb2m) critical for the transcription of the three mitochondria-encoded COX subunit genes all occupy common intranuclear sites in the murine neuronal nuclei. The pairing of various COX subunit genes and Tf genes indicates that interactions are present among all of them. On the other hand, genes for a non-mitochondrial protein (calreticulin) as well as a mitochondrial enzyme (citrate synthase) did not interact with COX genes. Furthermore, interactions between COX subunit and Tf genes were up-regulated by depolarizing stimulation and down-regulated by impulse blockade in primary neurons. Thus, a viable mechanism is in place for a synchronized, coordinated transcriptional regulation of this multisubunit, bigenomic COX enzyme in neurons
Specificity protein 4 functionally regulates the transcription of NMDA receptor subunits GluN1, GluN2A, and GluN2B
The rs12594956 polymorphism in the NRF-2 gene is associated with top-level Spanish athlete's performance status
Objectives
To determine the association between the nuclear respiratory factor 2 (NRF-2) polymorphisms and elite athletic performance.
Design
We compared the genotype and allele frequencies of the NRF-2 A/C (rs12594956), NRF-2 A/G (rs7181866), and NRF-2 C/T (rs8031031) polymorphisms between world-class endurance athletes (n = 89), elite power-oriented athletes (n = 38), and non-athletic controls (n = 110) of the same Caucasian (Spanish) origin.
Methods
Genomic DNA was extracted from peripheral EDTA-treated, anti-coagulated blood using a standard protocol. Genotyping was performed using polymerase chain reaction (PCR).
Results
The frequency of the AA genotype of the NRF-2 A/C (rs12594956) polymorphism was significantly higher in endurance athletes compared with power athletes (P < 0.01) and controls (P < 0.01) (48% vs. 13% and 21%, respectively). The likelihood of having the AA (rs12594956) genotype was higher in elite endurance athletes compared with controls [odds ratio (OR): 3.536, 95% confidence interval (CI): 1.903–6.571] and elite power athletes (OR: 6.170, 95%CI: 2.206–17.253).
Conclusions
Our results suggest that the NRF-2 A/C polymorphism might belong to a growing group of polymorphisms associated with endurance performance at the elite level. However, it is important to replicate these findings in other groups of elite athletes using larger sample sizes