Vittorio Enrico Avvedimento

Smooth Muscle Cell Proliferation Is Proportional to the Degree of Balloon Injury in a Rat Model of Angioplasty

BACKGROUND A variable degree of smooth muscle cell (SMC) proliferation after balloon injury has been reported in previous rat studies. It is unknown whether balloon injury induces c-fos expression and whether it is related to the degree of vascular injury in vivo. Therefore, we tested the hypothesis that proportional increases in neointimal formation and c-fos expression might be present after different degrees of balloon dilation. METHODS AND RESULTS Angioplasty of the carotid artery was performed with a balloon catheter. Vascular injury was evaluated at 0, 0.5, 1.0, 1.5, and 2 atm (n = 6 for all). In 40 additional rats, total RNA dot blots were performed to assess the effect of various degrees of balloon injury on c-fos expression. SMC proliferation proportional to the increases of inflation pressure was found between 0 and 2 atm with neointimal areas of 0.002 +/- 0.002, 0.069 +/- 0.014, 0.128 +/- 0.043, 0.190 +/- 0.010, and 0.255 +/- 0.041 mm2, respectively. When the degree of SMC proliferation (neointima and neointima/media ratio) was plotted against balloon inflation pressure, a linear relation was observed (r = .733, P < .001 and r = .755, P < .001, respectively). An increase in c-fos expression proportional to the degree of injury was found 30 minutes after injury. CONCLUSIONS Neointimal proliferation produced by balloon injury is related to balloon inflation pressure, supporting the concept of an SMC proliferative response proportional to the degree of injury. The increase in SMC proliferation is associated with a proportional increase in the early expression of the c-fos nuclear proto-oncogene.

The B subunit of the CAAT-binding factor NFY binds the central segment of the Co-activator p300.

We report that the heterotrimeric transcription factor NFY or “CAAT-binding factor” binds the −60 region of the human H ferritin promoter, the B site. DNA binding analysis with specific antibodies demonstrates that NFY/B/C subunits tightly bind this site and that NFY/C subunit is masked in vivo by binding with other protein(s). NFY binds the co-activator p300. Specifically, the NFY/B subunit interacts with the central segment of p300 in vivo and in vitro. cAMP substantially increases the formation of the NFY·p300 complex. Taken together these data provide a general model of cAMP induction of non-CRE-containing promoters and suggest that the NFY-B·p300 complex is located at the 5′ end of the promoter and the NFY-B·C·TFIIB on the 3′ end toward the transcription start site.

The Differential Response of Protein Kinase A to Cyclic AMP in Discrete Brain Areas Correlates with the Abundance of Regulatory Subunit II

Abstract: We analyzed the expression and relative distribution of mRNA for the regulatory subunits (RIα, RIIα, and RIIβ) and of 150‐kDa RIIβ‐anchor proteins for cyclic AMP (cAMP)‐dependent protein kinase (PKA) into discrete brain regions. The subcellular distribution of both holoenzyme and free catalytic subunit was evaluated in the same CNS areas. In the neocortex and corpus striatum high levels of RIIβ paralleled the presence of specific RII‐anchoring proteins, high levels of membrane‐bound PKA holoenzyme, and low levels of cytosolic free catalytic activity (C‐PKA). Conversely, in brain areas showing low RIIβ levels (cerebellum, hypothalamus, and brainstem) we found an absence of RII‐anchoring proteins, low levels of membrane‐bound holoenzyme PKA, and high levels of cytosolic dissociated C‐PKA. Response to cAMP stimuli was specifically evaluated in the neocortex and cerebellum, prototypic areas of the two different patterns of PKA distribution. We found that cerebellar holoenzyme PKA was highly sensitive to cAMP‐induced dissociation, without, however, a consistent translocation of C‐PKA into the nucleus. In contrast, in the neocortex holoenzyme PKA was mainly in the undissociated state and poorly sensitive to cAMP. In nuclei of cortical cells cAMP stimulated the import of C‐PKA and phosphorylation of cAMP‐responsive element binding protein. Taken together, these data suggest that RIIβ (whose distribution is graded throughout the CNS, reaching maximal expression in the neocortex) may represent the molecular cue of the differential nuclear response to cAMP in different brain areas, by controlling cAMP‐induced holoenzyme PKA dissociation and nuclear accumulation of catalytic subunits.

Effects of glucocorticoids on activation of c-jun N-terminal, extracellular signal-regulated, and p38 MAP kinases in human pulmonary endothelial cells.

Mitogen-activated protein kinases (MAPK) play a central role in signal transduction by regulating many nuclear transcription factors involved in inflammatory, immune, and proliferative responses. The aim of this study was to investigate, in human pulmonary endothelial cells, the effects of synthetic glucocorticosteroids on activation of c-jun N-terminal kinases, extracellular signal-regulated kinases, and p38 subgroups of the MAPK family. Human microvascular endothelial cells from lung were stimulated for 2 h with either H(2)O(2) (2 mM), IL-1beta (10 ng/mL), or tumour necrosis factor-alpha (10 ng/mL). Under these conditions, a remarkable increase in the phosphorylation pattern of c-jun N-terminal kinases, extracellular signal-regulated kinases 1/2, and p38 was detected. Pretreatment for 12 h with dexamethasone (100 nM) was able to prevent phosphorylation-dependent MAPK activation in stimulated cells, without substantially affecting the expression levels of these enzymes. Our results suggest that inhibition of MAPK signaling pathways in human pulmonary endothelial cells may significantly contribute, by interfering with activation of several different transcription factors, to the antiinflammatory and immunosuppressive effects of glucocorticosteroids.

An alternative model of H ferritin promoter transactivation by c-Jun

c-Jun is a member of the activator protein 1 family, and its interaction with different nuclear factors generates a wide spectrum of complexes that regulate transcription of different promoters. H ferritin promoter transcription is tightly dependent on nuclear factor Y (NFY). Ferritin transcription is activated by c-Jun, although the promoter does not contain a canonical binding site. NFY, on the other hand, does not bind c-Jun in vitro, whereas in vivo c-Jun is found in the complex containing NFY. Moreover, a c-Jun-GCN4 chimaeric construct containing only the transactivation domain of Jun and the basic-region leucine-zipper domain of GCN4 stimulates the H ferritin promoter. A synthetic GAL4 promoter and the cognate activator, the fusion protein NFY-GAL4, are potently activated by c-Jun. Titration of p300 by co-expressing E1A abolishes the stimulatory effect. Moreover, another p300-dependent promoter, the cAMP-response element, can be superactivated by c-Jun using the same mechanism. These data indicate that c-Jun, when activated or overexpressed, is recruited to the H ferritin promoter by p300, which links NFY, bound to DNA, to the complex. These results add a new level of complexity to transcriptional regulation by c-Jun, which can activate p300-dependent promoters without binding directly to the target DNA.

Linkage disequilibrium of three polymorphic RFLP markers in the apolipoprotein AI-CIII gene cluster on chromosome 11

We analysed the allelic and genotypic frequencies of three restriction fragment length polymorphisms in the region of chromosome 11 encoding apolipoprotein AI and CIII genes in a free-living population from South Italy (Calabria). These markers are located at -2500 and -78 bp from the transcription start site of apolipoprotein AI gene (XmnI and MspI, respectively), and in the 3′ untranslated region of apolipoprotein CIII gene (SstI). XmnI and SstI label rare alleles (X2 and S2 indicate the presence of the site), whereas the absence of the MspI site (because of a G to A transition) marks the rare allele, M2. Pairwise linkage disequilibrium analysis was determined. Two significant non-random associations were found: a positive disequilibrium between ApoA1/XmnI and ApoA1/MspI markers (P<0.0001), and a negative disequilibrium between ApoA1/XmnI and ApoC3/SstI markers (P<0.05). Statistical analysis showed a significant difference in the S2-M2 haplotype frequency between the group of subjects with serum cholesterol levels in the highest decile (P<0.005) and the group with serum cholesterol levels below the highest decile. The allelic frequency for each locus showed no significant difference between the two groups for all other metabolic parameters, included total cholesterol serum levels. These haplotypes are a more precise measure of genetic variations in the apolipoprotein cluster and their use should allow the mapping of mutations responsible for high serum cholesterol levels.

Modeling DNA methylation by analyzing the individual configurations of single molecules.

ABSTRACT DNA methylation is often analyzed by reporting the average methylation degree of each cytosine. In this study, we used a single molecule methylation analysis in order to look at the methylation conformation of individual molecules. Using D-aspartate oxidase as a model gene, we performed an in-depth methylation analysis through the developmental stages of 3 different mouse tissues (brain, lung, and gut), where this gene undergoes opposite methylation destiny. This approach allowed us to track both methylation and demethylation processes at high resolution. The complexity of these dynamics was markedly simplified by introducing the concept of methylation classes (MCs), defined as the number of methylated cytosines per molecule, irrespective of their position. The MC concept smooths the stochasticity of the system, allowing a more deterministic description. In this framework, we also propose a mathematical model based on the Markov chain. This model aims to identify the transition probability of a molecule from one MC to another during methylation and demethylation processes. The results of our model suggest that: 1) both processes are ruled by a dominant class of phenomena, namely, the gain or loss of one methyl group at a time; and 2) the probability of a single CpG site becoming methylated or demethylated depends on the methylation status of the whole molecule at that time.