Title |
Specific nutrient combination effects on tax, NF-κB and MMP-9 in human T-cell lymphotropic virus -1 positive malignant T-lymphocytes
|
---|---|
Published in |
BMC Cancer, January 2015
|
DOI | 10.1186/1471-2407-15-s1-s2 |
Pubmed ID | |
Authors |
Steve Harakeh, Rania Azar, Esam Azhar, Ghazi A Damanhouri, Mourad Assidi, Muhammad Abu-Elmagd, Mohammed H Alqahtani, Taha Kumosani, Aleksandra Niedzwiecki, Mathias Rath, Ahmed Al-Hejin, Elie Barbour, Mona Diab-Assaf |
Abstract |
Adult T-cell Leukemia (ATL) is a disease with no known cure. The disease manifests itself as an aggressive proliferation of CD4+ cells with the human T-cell Lymphotropic virus type 1 (HTLV-1). The leukemogenesis of the virus is mainly attributed to the viral oncoprotein. Tax activates the Nuclear Factor kappa B (NF-κB) which stimulates the activity and expression of the matrix metalloproteinase-9 (MMP-9). The objective of this study was to investigate the efficacy of a specific nutrient synergy (SNS) on proliferation, Tax expression, NF-κB levels as well as on MMP-9 activity and expression both at the transcriptional and translational levels in two HTLV-1 positive cell lines, HuT-102 and C91-PL at 48h and 96h of incubation. Cytotoxicity of Epigallocatechin-3-gallate (EGCG) was assayed using CytoTox 96 Non-radioactive and proliferation was measured using Cell Titer96TM Nonradioactive Cell Proliferation kit (MTT- based assay). Enzyme linked immunosorbant assay (ELISA) and electrophoretic mobility shift assay (EMSA) were used to assess the effect of SNS on NF-κB mobility. Zymography was used to determine the effects of SNS on the activity and secretion of MMP-9. The expression of MMP-9 was done using RT-PCR at the translational level and Immunoblotting at the transcriptional level. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Saudi Arabia | 1 | 4% |
Brazil | 1 | 4% |
Unknown | 22 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 4 | 17% |
Student > Ph. D. Student | 2 | 8% |
Researcher | 2 | 8% |
Student > Bachelor | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Other | 8 | 33% |
Unknown | 4 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 21% |
Medicine and Dentistry | 3 | 13% |
Agricultural and Biological Sciences | 2 | 8% |
Neuroscience | 2 | 8% |
Chemistry | 2 | 8% |
Other | 5 | 21% |
Unknown | 5 | 21% |