Biomedical subjects

S Sa

Publications and source records attributed to S Sa.

5 recordsLinked to original sources

PubMed2001

CTGF and SMADs, maintenance of scleroderma phenotype is independent of SMAD signaling.

In normal adult fibroblasts, transforming growth factor-beta (TGFbeta) induces the expression of connective tissue growth factor (CTGF). CTGF independently promotes fibroblast proliferation and matrix deposition, and in acute models of fibrosis promotes cell proliferation and collagen deposition acting synergistically with TGFbeta. In contrast to normal fibroblasts, fibroblasts cultured from fibrotic tissues express high basal levels of CTGF, even in the absence of added TGFbeta. Induction of transcription by TGFbeta requires the action of SMAD proteins. In this report we have investigated the role of SMADs in the TGFbeta-induction of CTGF in normal fibroblasts and in the elevated levels of CTGF expression found in dermal fibroblasts cultured from lesional areas of patients with scleroderma, a progressive fibrotic disorder that can affect all organs of the body. We have identified a functional SMAD binding site in the CTGF promoter. TGFbeta-induction of CTGF is dependent on SMAD3 and SMAD4 but not SMAD2 and is p300-independent. However, mutation of the SMAD binding site does not reduce the high level of CTGF promoter activity observed in dermal fibroblasts cultured from lesional areas of scleroderma patients. Conversely, the previously termed TGFbetaRE in the CTGF promoter is required for basal CTGF promoter activity in normal fibroblasts and for the elevated level of CTGF promoter activity in scleroderma fibroblasts. Thus, the maintenance of the fibrotic phenotype in scleroderma fibroblasts, as visualized by excess CTGF expression, appears to be independent of SMAD-dependent TGFbeta signaling. Furthermore, given CTGF's activities, the high level of CTGF expression observed in scleroderma lesions may contribute to the excessive scarring observed in this disorder.

3T3 Cells↗

PubMed2001

Cysteine protease activity is up-regulated in inflamed ankle joints of rats with adjuvant-induced arthritis and decreases with in vivo administration of a vinyl sulfone cysteine protease inhibitor.

OBJECTIVE: Cysteine proteases are postulated to play a role in tissue destruction in the joints of animals with arthritis. The purpose of the present study was to confirm the concept that cysteine proteases are enzymes involved in the pathology of rheumatoid arthritis (RA). METHODS: Arthritis was induced in Lewis rats by adjuvant injection (adjuvant-induced arthritis [AIA] model) and scored for inflammation. At necropsy, the rear paws were either fixed in formalin and assigned a histologic score (based on synovial cell proliferation, cartilage erosion, bone erosion, and fibroproliferative pannus) or frozen, cryosectioned, and assayed for enzyme activity either by in situ cytochemical staining with a post-azo-coupling method using a chromogenic substrate (Z-arg-arg-MNA) or by a novel assay placing the tissue section directly in a cuvette using the fluorogenic substrate Z-arg-arg-AMC. RESULTS: Enzymatic activity, measured either in frozen sections in situ or in the cuvette assay, was positively correlated with joint destruction (r = 0.7) and inflammation (r = 0.8). Activity was not inhibited significantly by Pefabloc (a serine protease inhibitor), EDTA (a metalloprotease inhibitor), or pepstatin A (an aspartyl protease inhibitor) but was inhibited by E-64 and vinyl sulfone irreversible inhibitors of cysteine proteases. The effect of one of the vinyl sulfone cysteine protease inhibitors, Mu-Leu-HomoPhe-vinylsulfone, was tested in vivo by dietary administration at 2.2 mg/kg/day in the AIA model; this resulted in a significant decrease in inflammation and in the amount of cysteine protease activity measured in the joint tissue. CONCLUSION: Cysteine protease activity levels increase in the diseased state and may be an important target for designing small molecule inhibitors to reduce the inflammation and tissue destruction associated with RA.

Animals↗

PubMed2001

The control of ccn2 (ctgf) gene expression in normal and scleroderma fibroblasts.

Although the role of transforming growth factor beta (TGFbeta) in initiating fibrosis is well established, the role that TGFbeta plays in maintaining fibrosis is unclear. The gene encoding connective tissue growth factor (ccn2; ctgf), which promotes fibrosis, is not normally expressed in dermal fibroblasts unless TGFbeta is present. However, in dermal fibroblasts cultured from lesional areas of scleroderma, ccn2 (ctgf) is expressed constitutively. The contribution of several elements in the ccn2 (ctgf) promoter to basal and TGFbeta induced ccn2 (ctgf) expression in normal and scleroderma fibroblasts has been investigated. A functional SMAD binding site in the ccn2 (ctgf) promoter that is necessary for the TGFbeta mediated induction of this gene has been identified. The previously termed TGFbeta responsive enhancer (TGFbetaRE) in the ccn2 (ctgf) promoter has been found to be necessary for basal promoter activity in normal fibroblasts. The SMAD element is not necessary for the high ccn2 (ctgf) promoter activity seen in scleroderma fibroblasts. However, mutation of the previously termed TGFbetaRE reduces ccn2 (ctgf) promoter activity in scleroderma fibroblasts to that seen in normal fibroblasts. Thus, the maintenance of the scleroderma phenotype, as assessed by a high degree of ccn2 (ctgf) promoter activity, appears to be relatively independent of SMAD action and seems to reflect increased basal promoter activity.

Case-Control Studies↗

PubMed2000

Tumor necrosis factor alpha suppresses the induction of connective tissue growth factor by transforming growth factor-beta in normal and scleroderma fibroblasts.

Connective tissue growth factor (CTGF) is overexpressed in a variety of fibrotic disorders, presumably secondary to the activation and production of transforming growth factor-beta (TGF-beta), a key inducer of fibroblast proliferation and matrix synthesis. The CTGF gene promoter has a TGF-beta response element that regulates its expression in fibroblasts but not epithelial cells or lymphocytes. Recent studies have shown that the macrophage-produced cytokine tumor necrosis factor alpha (TNFalpha) is necessary to promote inflammation and to induce genes, such as matrix metalloproteinases, involved with the early stages of wound healing. In this study, we examined the ability of TNFalpha to modulate CTGF gene expression. TNFalpha was found to suppress the TGF-beta-induced expression of CTGF protein in cultured normal fibroblasts. The activity of TNFalpha was blocked by NF-kappaB inhibitors. We showed that sequences between -244 and -166 of the CTGF promoter were necessary for both TGF-beta and TNFalpha to modulate CTGF expression. There was a constitutive expression of CTGF by scleroderma fibroblasts that was increased by TGF-beta treatment. Although TNFalpha was able to repress TGF-beta-induced CTGF and collagen synthesis both in normal and scleroderma skin fibroblasts, fibroblasts cultured from scleroderma patients were more resistant to TNFalpha as TNFalpha was unable to suppress the basal level of CTGF expression in scleroderma fibroblasts. Thus, we suspect that the high level of constitutive CTGF expression in scleroderma fibroblasts and its inability to respond to negative regulatory cytokines may contribute to the excessive scarring of skin and internal organs in patients with scleroderma.

Cell Line↗

PubMed1996

A genetic algorithm approach to optimization for the radiological worker allocation problem.

This paper describes a new approach to the radiological worker allocation problem using a multiple objective genetic algorithm. The worker allocation problem in radiological facilities involves various types of constraints and even mutually conflicting ones, such as individual dose limits, working time limits, etc. A major difficulty of this highly working time limits, etc. A major difficulty of this highly constrained problem is the way of finding an optimal solution in the huge search space where a large proportion of solutions are not feasible because some of the constraints cannot be satisfied. The paper proposes a model of evolution to establish an optimal assignment efficiently, based on the biological insights into the evolutionary process and heuristic ideas. The experimental results show a very rapid evolution to produce feasible solutions, and the application of multiple evaluation functions converges the feasible solutions to good ones. The genetic algorithm approach was found to be superior to the goal programming and simplex methods.

Algorithms↗