Breast Cancer Association with CYP1A2 Activity and Gene Polymorphisms - a Preliminary Case-control Study in Tunisia

Ayari, I,Arnaud, MJ,Mani, A,Pavanello, S,Saguem, S Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.8

The aim of the present study was to evaluate the relative contribution of CYP1A2 isoforms (-3860 G/A, -2467T/delT and -163C/A) in control subjects and breast cancer patients to the metabolism of caffeine in human liver. Restriction fragment length polymorphism analysis of PCR-amplified Fragments (PCR-RFLP) was used for the genotyping of CYP1A2 SNPs and HPLC allowed the phenotyping through the measurement of CYP1A2 activity using the 17X + 13X + 37X/137X urinary metabolite ratio (CMR) and plasma caffeine half life (T1/2). The CYP1A2 -3860A genotype was associated with a decreased risk of breast cancer. In contrast, distributions of the CYP1A2 -2467T/delT or -2467delT/delT and -163A/C or A/A genotypes among breast cancer patients and controls were similar. When the genotype and phenotype relationship was measured by comparing the mean CMR ratios and caffeine half life within the genotype groups between subjects and breast cancer patients, there were no significant differences except for -3860 A, most of them being homozygous for the -3860 G/G SNP and had a significant higher mean CMR ratio and half life than those with -3860 G/A (P=0.02). The results of this preliminary study show a significant association between CP1A2 -3860 G variant and CYP1A2 phenotype which must be confirmed by further large-size case-control studies.

Advanced Transverse Wave Approach for MM-Wave Analysis of Planar Antennas applied in 5G-Technology

Ayari, Mohamed,Touati, Yamen El,Altowaijri, Saleh International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.1

In this paper, a fast numerical electromagnetic (EM) method based on the transverse wave formulation called-up Advanced Transverse Wave Approach (A-TWA) is presented. An appropriate 5G antenna is designed, simulated and investigated in the context of Millimeter-Wave Wireless Communication Systems. The obtained simulation results are found in good agreement with literature. Such a method can provide for the simulators a great library integrating the most complexly and sensitively geometry elements that can have a huge impact on the applications supported by new wireless technologies.

Method of Moments versus Advanced Transverse Wave Approach for EM Validation of Complex Microwave and RF Applications

Mohamed Ayari,Yamen El Touati,Saleh Altowaijri 한국전자파학회JEES 2020 Journal of Electromagnetic Engineering and Science Vol.20 No.1

The art of benchmarking study has improved at an astonishing rate the scientific research in all areas but mainly in microwave engineering domain, and in particular, the field of microwave (MW) and radiofrequency (RF) integrated circuit design. Moreover, the fast simulation of complex MF/RF structures is considered a big challenge for the simulators, mainly in light of the continuous information and communication technology (ICT) development. In this context, the present paper sets out to present two important numerical electromagnetic (EM) methods, the method of moments (MOM) and our advanced transverse wave approach (A-TWA) for full-wave analysis of RF/MW structures. The computational complexity of these methods is evaluated. Two complex printed antennas working in the RF/MW range are selected and investigated. The EM problems that can be found in these circuits and that could not be solved analytically or by other numerical methods are discussed. The EM-validation of the studied structures using A-TWA and MOM is demonstrated and compared in the context of RF/MW applications. The obtained simulation results prove the efficiency and rapidity of our approach in comparison with the literature.

Differentiation among stability regimes of alumina-water nanofluids using smart classifiers

Daryayehsalameh, Bahador,Ayari, Mohamed Arselene,Tounsi, Abdelouahed,Khandakar, Amith,Vaferi, Behzad Techno-Press 2022 Advances in nano research Vol.12 No.5

Nanofluids have recently triggered a substantial scientific interest as cooling media. However, their stability is challenging for successful engagement in industrial applications. Different factors, including temperature, nanoparticles and base fluids characteristics, pH, ultrasonic power and frequency, agitation time, and surfactant type and concentration, determine the nanofluid stability regime. Indeed, it is often too complicated and even impossible to accurately find the conditions resulting in a stabilized nanofluid. Furthermore, there are no empirical, semi-empirical, and even intelligent scenarios for anticipating the stability of nanofluids. Therefore, this study introduces a straightforward and reliable intelligent classifier for discriminating among the stability regimes of alumina-water nanofluids based on the Zeta potential margins. In this regard, various intelligent classifiers (i.e., deep learning and multilayer perceptron neural network, decision tree, GoogleNet, and multi-output least squares support vector regression) have been designed, and their classification accuracy was compared. This comparison approved that the multilayer perceptron neural network (MLPNN) with the SoftMax activation function trained by the Bayesian regularization algorithm is the best classifier for the considered task. This intelligent classifier accurately detects the stability regimes of more than 90% of 345 different nanofluid samples. The overall classification accuracy and misclassification percent of 90.1% and 9.9% have been achieved by this model. This research is the first try toward anticipting the stability of water-alumin nanofluids from some easily measured independent variables.

Fault Diagnosis with Adaptive Control for Discrete Event Systems

El Touati, Yamen,Ayari, Mohamed International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.11

Discrete event systems interact with the external environment to decide which action plan is adequate. Some of these interactions are not predictable in the modelling phase and require consequently an adaptation of the system to the metamorphosed behavior of the environment. One of the challenging issues is to guarantee safety behavior when failures tend to derive the system from normal status. In this paper we propose a framework to combine diagnose technique with adaptive control to avoid unsafe sate an maintain the normal behavior as long as possible.

Consanguinity Protecting Effect Against Breast Cancer among Tunisian Women: Analysis of BRCA1 Haplotypes

Medimegh, Imen,Troudi, Wafa,Omrane, Ines,Ayari, Hajer,Uhrhummer, Nancy,Majoul, Hamdi,Benayed, Farhat,Mezlini, Amel,Bignon, Yves-Jean,Sibille, Catherine,Elgaaied, Amel Benammar Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.9

The purpose of this study is to assess the effect of consanguinity on breast cancer incidence in Tunisia. We conducted a case-control study to evaluate the involvement of heterozygote and homozygote haplotypes of BRCA1 gene SNPs according to consanguinity among 40 cases of familial breast cancer, 46 cases with sporadic breast cancer and 34 healthy controls. We showed significant difference in consanguinity rate between breast cancer patients versus healthy controls P=0.001. Distribution of homozygous BRCA1 haplotypes among healthy women versus breast cancer patients was significantly different; p=0.02. Parental consanguinity seems to protect against breast cancer in the Tunisian population.

Antioxidant Properties of Salvia officinalis Decoction Extract and Mechanism of Its Protective Effects on Ethanol-Induced Liver and Kidney Injuries

Saber Jedidi,Foued Aloui,Slimen Selmi,Houcine Selmi,Houcem Sammari,Ala Ayari,Chaabane Abbes,Hichem Sebai 한국식품영양과학회 2022 Journal of medicinal food Vol.25 No.5

This study assessed the hepato- and nephroprotective effects of Salvia officinalis flowers decoction extract (SODE) against ethanol (EtOH)-induced oxidative stress in rats as well as the possible mechanism implicated in such protection. Animals were divided into four groups: control, EtOH, and EtOH+SODE. Wistar rats were pretreated with SODE (50, 100, and 200 mg/kg, body weight [b.w.], p.o.) for 15 days and intoxicated during 2 h by acute oral administration of EtOH (4 g/kg, b.w.) 60 min after the last dose of SODE. We found that SODE pretreatment, in vivo, protected against EtOH-induced liver and kidney injuries evident by plasma transaminases activity and preservation of the hepatic tissue structure. Compared with the control group, the animals treated with the SODE showed a significant decrease (68.81 ± 6.89–50.65 ± 3.97 UI/L) of alanine aminotransferase (ALT) and aspartate aminotransferase (AST; 144.38 ± 6.58–113.64 ± 8.03 UI/L) in a dose-dependent manner. By contrast, the plant extract significantly and dose dependently increased (0.175 ± 0.077–0.302 ± 0.011 mmol/L) the uric acid. The SODE counteracted EtOH-induced liver and kidney lipoperoxidation, preserved sulfhydryl groups (–SH) and glutathione reduced (GSH) contents. Our extract prevented the depletion of antioxidant enzyme activities such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx). We also showed that acute alcohol administration increased tissue and plasma hydrogen peroxide (H2O2), calcium and free iron levels. Of interest, SODE pretreatment reversed all EtOH-induced disturbances in intracellular mediators. More importantly, SODE treatment significantly protected against alcohol-induced inflammation by reducing C-reactive protein (CRP) and alkaline phosphatase (ALP) activities in plasma. It was concluded that the SODE exerted a potential protective effect against EtOH-induced inflammation and oxidative stress in the rat organs. This study recommends that the consumption of sage flowers is useful for patients who suffer from hepato- and nephrotoxicity.