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Valizadeh, N.

Publications and source records attributed to Valizadeh, N..

2 recordsLinked to original sources

Game Theory Applications in Host-Microbe Interactions: Mycobacterium tuberculosis infection as an example

The game theory describes the interactions between two players and the pay-off from wining, losing or compromising. Mycobacterium tuberculosis (Mtb)-host interactions were used as an example for the application of the game theory to describe and predict the possibilities of victory for any players. The gene expression for eight main markers of host response and three Mtb virulence factors were assessed in broncho-alveolar lavage of TB+ and TB- patients. The game theory showed that a variety of paths exist that players can use, in response to the behaviour of the counterpart. Briefly, according to the "Nash equilibrium", Ag85B is the main virulence factor for Mtb in active phase, however it is the most immunogenic factor if the host can respond by high expression of T-bet and iNOS. In this situation, Mtb can express high levels of ESAT-6 and CFP10 and change the game to the latency, in which host responses by medium expression of T-bet and iNOS and medium level of TGF-{beta} and IDO. Consistently, The IDO expression was 134-times higher in TB+s than the TB-s, and the T-bet expression, ~200-times higher in the TB-s than the TB+s. Furthermore, Mtb-Ag85B had a strong positive association with CCR2, T-bet and iNOS, but had a negative correlation with IDO.

microbiology↗

An insight to HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) pathogenesis; evidence from high-throughput data integration and meta-analysis

Human T-lymphotropic virus 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a progressive disease of the central nervous system that affected significantly spinal cord, nevertheless, the pathogenesis pathway. This study aimed to employ high throughput meta-analysis to find major genes involved in the pathogenesis of HAM/TSP. High-throughput statistical analyses identified 385, 49, and 22 differentially expressed genes for normal vs. ACs, normal vs. HAM/TSP and ACs vs. HAM/TSP groups, respectively. STRING and further network analyses highlighted 32, 29, and 13 hub genes for normal vs. ACs, normal vs. HAM/TSP, and ACs vs. HAM/TSP groups, respectively. Biological network analyses indicated the involvement of hub genes in the HAM/TSP group in many vital pathways like apoptosis and immune pathways. Moreover, the meta-analysis results disclosed three major genes including STAT1, TAP1, and PSMB8 which have function role in HAM/TSP progression. Real-time PCR revealed the meaningful down-regulation of STAT1 in HAM/TSP samples than AC and normal samples (P=0.01 and P=0.02, respectively), up-regulation of PSMB8 in HAM/TSP samples than AC and normal samples (P=0.04 and P=0.01, respectively), and down-regulation of TAP1 in HAM/TSP samples than those in AC and normal samples (P=0.008 and P=0.02, respectively). No significant difference was found among three groups in terms of percentage of T helper and cytotoxic T lymphocytes (P= 0.55 and P=0.12). Our results confirm that STAT1, TAP1, and PSMB8 are three important genes which their expressions levels were changed in three different groups. These proteins in association with other proteins can involve in the immune and apoptosis pathways.

systems biology↗