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A Donny Strosberg

Publications and source records attributed to A Donny Strosberg.

8 recordsLinked to original sources
PubMed2006

Leptin and leptin receptor polymorphisms are associated with increased risk and poor prognosis of breast carcinoma.

BACKGROUND: Leptin (LEP) has been consistently associated with angiogenesis and tumor growth. Leptin exerts its physiological action through its specific receptor (LEPR). We have investigated whether genetic variations in LEP and LEPR have implications for susceptibility to and prognosis in breast carcinoma. METHODS: We used the polymerase chain reaction and restriction enzyme digestion to characterize the variation of the LEP and LEPR genes in 308 unrelated Tunisian patients with breast carcinoma and 222 healthy control subjects. Associations of the clinicopathologic parameters and these genetic markers with the rates of the breast carcinoma-specific overall survival (OVS) and the disease free survival (DFS) were assessed using univariate and multivariate analyses. RESULTS: A significantly increased risk of breast carcinoma was associated with heterozygous LEP (-2548) GA (OR = 1.45; P = 0.04) and homozygous LEP (-2548) AA (OR = 3.17; P = 0.001) variants. A highly significant association was found between the heterozygous LEPR 223QR genotype (OR = 1.68; P = 0.007) or homozygous LEPR 223RR genotype (OR = 2.26; P = 0.001) and breast carcinoma. Moreover, the presence of the LEP (-2548) A allele showed a significant association with decreased disease-free survival in breast carcinoma patients, and the presence of the LEPR 223R allele showed a significant association with decreased overall survival. CONCLUSION: Our results indicated that the polymorphisms in LEP and LEPR genes are associated with increased breast cancer risk as well as disease progress, supporting our hypothesis for leptin involvement in cancer pathogenesis.

Adult↗
PubMed2005

Genetic variation in pro-inflammatory cytokines (interleukin-1beta, interleukin-1alpha and interleukin-6) associated with the aggressive forms, survival, and relapse prediction of breast carcinoma.

OBJECTIVES: Interleukin-1 (IL-1) and interleukin-6 (IL-6) are determining factors in the immune and inflammatory responses to tumors cells. Experimental data suggest that interleukin-1 and interleukin-6 play important roles in the development and progression of breast cancer. We designed a broad study to investigate the susceptibility and prognostic implications of the genetic variation in IL-1alpha, IL-1beta and IL-6 in breast carcinoma. EXPERIMENTAL DESIGN: We used the polymerase chain reaction and restriction enzyme digestion to characterize the genetic variation of IL-1alpha, IL-1beta and IL-6 in 305, unrelated Tunisian patients with breast carcinoma and 200 healthy control subjects. Associations between the genetic markers and the clinicopathological parameters, the specific overall survival rate (OVS) of breast carcinoma and the disease free-survival rate (DFS) were assessed using univariate and multivariate analyses. RESULTS: Both IL-6 (-597) GA and IL-6 (-174) GC heterozygous genotypes were found to be significantly associated with breast carcinoma (OR = 1.59, p = 0.024 and OR = 1.61, p = 0.022 respectively). A highly significant association was found between the (+3954) T allele of IL1-B gene and the aggressive phenotype of breast carcinoma as defined by the high histological grade, axillary lymph node metastasis and large tumor size. The IL-1alpha (-889) TT homozygous genotype showed a significant association with reduced disease-free survival and/or overall survival rate. The IL-1beta (+3954) TT, IL-6 (-597) GG and IL-6 (-174) GG homozygous genotypes were found to be associated with reduced DFS but not with overall survival. CONCLUSIONS: The polymorphisms in the promoter region of the IL-6 gene may represent a marker for the increased risk of breast carcinoma. Genetic variations in IL-1alpha, IL-1beta and IL-6 may predict the clinical outcome of breast carcinoma.

Adult↗
PubMed2004

Trans-inactivation of receptor tyrosine kinases by novel angiotensin II AT2 receptor-interacting protein, ATIP.

Negative regulation of mitogenic pathways is a fundamental process that remains poorly characterized. The angiotensin II AT2 receptor is a rare example of a 7-transmembrane domain receptor that negatively cross-talks with receptor tyrosine kinases to inhibit cell growth. In the present study, we report the molecular cloning of a novel protein, ATIP1 (AT2-interacting protein), which interacts with the C-terminal tail of the AT2 receptor, but not with those of other receptors such as angiotensin AT1, bradykinin BK2, and adrenergic beta(2) receptor. ATIP1 defines a family of at least four members that possess the same domain of interaction with the AT2 receptor, contain a large coiled-coil region, and are able to dimerize. Ectopic expression of ATIP1 in eukaryotic cells leads to inhibition of insulin, basic fibroblast growth factor, and epidermal growth factor-induced ERK2 activation and DNA synthesis, and attenuates insulin receptor autophosphorylation, in the same way as the AT2 receptor. The inhibitory effect of ATIP1 requires expression, but not ligand activation, of the AT2 receptor and is further increased in the presence of Ang II, indicating that ATIP1 cooperates with AT2 to transinactivate receptor tyrosine kinases. Our findings therefore identify ATIP1 as a novel early component of growth inhibitory signaling cascade.

Amino Acid Sequence↗
PubMed2003

Comparative expression of the human beta(2) and beta(3) adrenergic receptors in Saccharomyces cerevisiae.

The beta(3) adrenergic receptor (beta(3)AR) is the predominant beta subtype in human brown adipocytes and is essential for regulating thermogenic lipolysis. To establish a novel experimental system for the biochemical analysis of this protein, we engineered several yeast strains. We show that the sterol background of the host strain greatly modulates the beta(3)AR expression but not in the same way as it modulates the beta(2) adrenergic receptor (beta(2)AR), the other main studied adipocyte subtype. The human beta(3)AR expressed in yeast is N-glycosylated but not phosphorylated. This latter characteristic distinguishes it from the beta(2)AR. We showed that both beta(2)AR and beta(3)AR follow the secretory pathway to the yeast plasma membrane (PM) and are degraded in the vacuole. In the yeast strains used in this work, the two receptors also share a common mechanism of direct signal transduction through the yeast G(alpha) protein, Gpa1p. These strains thus appear to be useful for biochemical and structural studies of the human beta(3)AR in an in vivo reconstitution system.

Cell Membrane↗
PubMed2002

Human adipose cells express CD4, CXCR4, and CCR5 [corrected] receptors: a new target cell type for the immunodeficiency virus-1?

The concept that adipocytes belong to an essential endocrine system with some characteristics of immune cells has recently emerged. The aim of this paper is to present evidence of the expression of CD4, CXCR4, and CCR5 receptors by human adipocytes and to test whether adipose cells support HIV entry. Primary human preadipocytes were cultured and differentiated in vitro. Expression of the three receptors on preadipocytes and adipocytes was demonstrated by reverse transcriptase-polymerase chain reaction, immunocytochemical, and immunohistochemical analysis. Infection of adipose cells to HIV-1 was then investigated. The measurement of the viral p24 antigen in preadipocyte culture medium showed an increase of p24 levels between 24 and 72 h postexposure and then a progressive decrease to reach a low level at 10-15 days. Ten days after the infection test, supernatant of preadipocytes contained infectious particles able to infect the susceptible T-CD4 CEM cell line. The expression of viral proteins by adipocytes was confirmed using a fusion test. The presence of viral DNA was exhibited by gag-specific polymerase chain reaction, supporting the hypothesis of HIV-1 X4- and R5-virus entry in preadipocytes. Adipose cells represent the first cell type that does not belong to the immune system expressing all specific HIV receptors and may represent new HIV-1 target cells.

Adipocytes↗
PubMed2002

Peroxisome proliferator-activated receptor (PPAR) gamma coactivator-1 recruitment regulates PPAR subtype specificity.

The peroxisome proliferator-activated receptors (PPAR) alpha and gamma play key roles in the transcriptional control of contrasting metabolic pathways such as adipogenesis and fatty acid beta-oxidation. Both ligand-activated nuclear receptors bind to common target gene response elements and interact with distinct domains of the transcriptional coactivator PGC-1 to attain their full transcriptional potency. Thus, PPAR subtype specificity may be determined by ligand availability and transcription factor or coactivator expression levels. To identify other, perhaps more precise mechanisms contributing to PPAR subtype specificity, we studied PGC-1 recruitment by PPARs using a previously described hormone response element in the human UCP1 promoter and a human brown adipocyte cell line as our model system. As in rodents, PGC-1 is involved in the transcriptional regulation of the UCP1 gene in humans and mediates the effects of PPARalpha and PPARgamma agonists and retinoic acid. Interestingly, a previously postulated PGC-1 repressor selectively affects the PPARalpha-mediated activation of UCP1 gene expression. Furthermore, inhibition of p38 MAPK signaling, known to regulate the PGC-1/repressor interaction, decreases the stimulatory effect of PPARalpha agonist treatment without reducing the response to thiazolidinedione or retinoic acid. These data support a model whereby PPAR subtype specificity is regulated by recruitment of PGC-1.

Adipocytes↗
PubMed2002

Protein interaction mapping for target validation: the need for an integrated combinatory process involving complementary approaches.

Identification, selection, validation and prioritization of targets for therapeutic intervention requires understanding of the biological role of individual proteins in cellular pathways. Unraveling the ways in which proteins interact with each other appears to be crucial in achieving that goal. A number of recently described high-throughput approaches for analyzing cellular protein-protein interactions and previously proposed prediction procedures are compared in this review. The relative advantages of each method are discussed in relation to reproducibility, comprehensiveness and biological significance. It is concluded that only a combination of complementary biochemical technologies supported by reliable algorithms, will provide exhaustive maps of protein interactions for a cellular interactome.

Animals↗