CAFFEINEAS A PROMISING ANTIFBROTIC AGENT AGAINST CCL4-INDUCED LIVER FIBROSIS

Objective: Hepatic fibrosis is a wound-healing process in the liver with chronic injury and is characterized by an excess production and deposition of extracellular matrix (ECM) components. Our aim is to investigate the hepatoprotective effects of caffeine against CCL4-induced liver fibrosis in rats and to be compared with the reference standard N-acetylcysteine (NAC).Methods: Rats were divided into 5 groups (n=8), the 1st group served as normal control, the 2nd group received corn oil, the 3rd group is a fibrosis control and the remaining two groups received in addition to CCL4, NAC (150 mg/kg/day) as a reference treatment and caffeine (15 mg/kg/day). At the end of experimental period the following parameters were measured, specific fibrosis biomarkers [hepatic transforming growth factor β1(TGF-β1) and hepatic hydroxyproline (HYP)], liver function biomarkers [serum alanine transaminase (ALT), aspartate transaminase (AST), total bilirubin and albumin], lipid profile [serum triglycerides, total cholesterol, low density lipoprotein cholesterol (LDL-Ch) and high density lipoprotein cholesterol (HDL-Ch)], inflammatory biomarkers [serum tumor necrosis factor alpha (TNF-α), hepatic myeloperoxidase (MPO)], oxidative stress biomarkers [hepatic malondialdehyde (MDA), glutathione (GSH) and catalase (CAT)], relative liver body weight and liver histopathological study.Results: Caffeine significantly improved all the aforementioned biochemical parameters and liver sections obtained from this group showed prominent histopathological improvement.Conclusion: Caffeine hepatoprotective effects may be due to modulation of the fibrous scar formation, Improvement of liver function, Anti-inflammatory and antioxidant potentials

GREEN VORTEX-ASSISTED IONIC LIQUID-BASED DISPERSIVE LIQUID-LIQUID MICROEXTRACTION FOR ENRICHMENT AND DETERMINATION OF CADMIUM AND LEAD IN WATER, VEGETABLES AND TOBACCO SAMPLES

Objective: An eco-friendly, simple and sensitive vortex-assisted ionic liquid-based dispersive liquid-liquid microextraction method (VA-IL-DLLµE) has been proposed to enrich and determine trace levels of cadmium (Cd2+ ) and lead (Pb2+ ) ions in water, vegetables and tobacco samples, prior to its FAAS determination. Methods: The proposed method based on utilization of ionic liquid (IL) (1-hexyl-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate [HMIM][FAP]) as an extraction solvent for both ions after the complexation with 4,5-dihydroxy-3-phenylazo-2,7-naphthalenedisulfonic acid, disodium salt (Chromotrope 2R) at pH 6.5. The impact of different analytical parameters on microextraction efficiency was optimized. Results: In the ranges of 1.0–300 and 2.0-400 μg/ml, the calibration graphs were linear. The limits of detection were 0.3 and 0.6 μg/ml for Cd2+ and Pb2+ ions, respectively. The preconcentration factor was 100. The relative standard deviation (RSD %)<3.0%, which indicates the proposed method has high precision. Conclusion: The proposed VA-IL-DLLµE method was developed and applied for the estimation of Cd2+ and Pb2+ ion content in various water, vegetables and tobacco samples, and satisfactory results were obtained. The obtained recovery values showed good agreement with the certified values

Impact of increasing dietary oil concentrations with a constant energy level on the tolerance of broiler chickens to a high ambient temperature

Broiler males (n= 140) were used in a straight-run experimental design and distributed randomly among four treatment groups with seven replicates per treatment and five broilers per replicate. During 21–42 d old, the chickens were fed iso-caloric and iso-nitrogenous diets containing four levels of dietary vegetable oils (DVO), of 2.7, 4, 6 and 8%. During d 25–27, 31–33, and 38–40 of age, broilers were exposed to heat stress for 4 h a day (1000–1400 h) at 34 ºC, 70–75 % relative humidity. Feeding an 8% DVO diet significantly increased body weight gain compared to the other DVO levels. The feed conversion ratio, protein conversion ratio, metabolizable energy conversion ratio and European production index were significantly enhanced due to feeding an 8% DVO diet compared to a diet containing 6% DVO. Feeding 8% DVO significantly increased the meat protein and lipid percentages, compared to the control group (2.7 % DVO), but decreased the plasma low-density lipoprotein, very-low-density lipoprotein and lymphocytes. Feeding 8% DVO significantly increased the mean cell volume and mean cell hemoglobin, and bursa weight and percentage compared to the control. In addition, 6 and 8% DVO significantly increased the plasma total antioxidant capacity compared to the control group, but decreased the malondialdehyde. Thus, broilers fed a diet containing 8% DVO have an increased tolerance to heat stress, as evidenced by increasing the productive performance, meat quality, blood hematological and biochemical traits, antioxidants and immunity

A Reconfigurable Multipurpose SoC Mobile Platform for metal detection

Background and Objectives One of the key problems in mobile robotics is the ability to understand and analyze the surrounding environment in a useful way. This is especially important in dangerous applications where human involvement should be avoided. A clear example of employing the robots in dangerous applications is mine detection which is mostly done through metal detection techniques. Among the various types of walking robots, Hexapod walking robots offer a good static stability margin and faster movement especially in rough terrain applications [1] Thus, the “Hexapod Terasic Spider Robot” is a suitable platform for the metal detection purpose especially that it is equipped with Altera DE0-Nano field programmable gate arrays (FPGA) SoC which allows for extremely high performance and accuracy. This work introduces a novel implementation of a metal detection module on the Terasic Spider Robot; the metal detection module is designed and interfaced with the robot in order to perform the metal detection. The user can control the robot and receive the feedback through a Bluetooth-enabled android phone. In addition, a general-purpose design flow that can be used to implement other applications on this platform is proposed. This proves the versatility of the platform as well.Method The designed metal detection module (MDM) is mainly based on an oscillator and a coil, its operation principle is that when the coil approaches a metal, the frequency of the oscillator will change [2]. This frequency change can be accurately monitored in real time using the FPGA SoC board. Thus, the module can be used for detecting metals. The metal detection module is interfaced with DE0-Nano SoC board where the detection algorithm is implemented. The development of the algorithm is carried out on the board available on this robot. The board includes a FPGA, which provides a high-performance and real-time implementation of parts of the algorithm, and a hard processor system (HPS) running Linux OS which can be used to easily interface the board with other computer systems and peripherals such as mobile phones and cameras[3]. As shown in Fig. 1, the detection algorithm is based on hardware/software co-design; the output of the MDM is provided to the FPGA part of the board in order to achieve an accurate and real-time monitoring. Upon detection, the FPGA sends a detection signal through the shared memory interface to the HPS part of the board. The HPS is then responsible for sending a warning to the mobile through multi-threaded communication application that is running on the HPS. Figure 1 General architecture of the metal detection system In order to implement the metal detection algorithm on the Terasic Spider Robot, it was necessary to formulate and follow the design flow provided in Fig. 2. This design flow can be used to implement other applications that can utilize the hardware/software co-design approach for better performance. Figure 2 General purpose design flow for the Altera Terasic Spider Robot Platform. Results and discussion Due to the coil specification and the circuit design. The frequency captured at normal situations is (no metal presence) is 2155 ± 20 Hz. The frequency increases Inversely proportional to the distance of the metal from the coil. In other words, the frequency increases when the distance between the metal and the coil decrease. When a metal whose size is at least the same size as the coil is present at 7 cm distance from the detection coil, the frequency will exceed 2200 Hz Regardless of the medium. The tested medium is wood. However, similar results were obtained with air medium. These numbers are specific to the proposed system. Changing the circuit parameters will increase the detection distance if desired. For example, having more coil turns and bigger diameter as well as faster oscillation will increase the detection distance. To avoid any interference between the robot body and the metal detection circuit readings, a 15 inches plastic arm is used to connect the metal detection module to the body of the robot. The electronics components is attached to this arm to the nearest possible point to the coil. The metal detection module attached to a plastic arm and then to the robot. the metal detection module and the spider robot is shown in Fig. 3 and 4 respectively. Figure 3 The Metal Detection Circuit Combined with the Arm Fig. 4 MDM Connected to the Terasic Spider Robot The robot is then controlled through a mobile application, the mobile application is modified so that the robot can send feedback (detection warning) to the mobile phone. Figure 5 shows an example of the notification message «Metal Detected» whenever a metal is detected. Figure. 5. Metal Detection Message for Mobile Application Interface Summary and Conclusion This abstract includes a general description of research project that aims to utilize the Terasic Spider Robot platform to perform accurate and real-time metal detection. This is an important application that helps humans avoid involvement in dangerous operations like mine detection. Nonetheless, a general-purpose design flow is proposed for the benefit of the research community and anyone who intends to implement an application on this platform in the future. Acknowledgment This project was funded by Qatar University Internal Grants program. References [1] Y. Zhu, B. Jin, Y. Wu, T. Guo and X. Zhao, «Trajectory Correction and Locomotion Analysis of a Hexapod Walking Robot with Semi-Round Rigid Feet», Sensors, vol. 16, no. 9, p. 1392, 2016. [2] T. Alauddin, M. T. Islam and H. U. Zaman, «Efficient design of a metal detector equipped remote-controlled robotic vehicle,» 2016 International Conference on Microelectronics, Computing and Communications (MicroCom), Durgapur, 2016, pp. 1-5 [3] «Cyclone V Device Overview», Altera, 2016. [Online]. Available: https://www.altera.com/en_US/pdfs/literature/hb/cyclone-v/cv_51001.pdf. [Accessed: 16- Oct- 2017]qscienc

Synthesis of Zinc aluminate nanoparticles from aluminum / zinc sludge for degradation of brilliant cresyl blue under visible light irradiation

Scientists and researchers from all over the world are paying close attention to the recycling of industrial waste into new materials. Aluminum and zinc sludge powders were gathered from aluminum sheets and big iron manufacturers to be used as starting materials in the synthesis of zinc aluminate nanoparticles. The XRF, XRD, and DTA examinations were used to characterize the collected sludge powders. The main components of aluminum and zinc sludges, according to the findings, are gibbsite (Al(OH)3) and hydrozincite (Zn5(CO3)2(OH)6), respectively. Without any primary advanced chemical treatments, the collected sludges were used to perform solid-state reaction (SSR) and molten salt synthesis (MSS) at 1100°C. XRD, FTIR, XPS, SEM, and TEM examinations were used to characterize the synthesized samples. Both SSR and MSS deduced pure phase zinc aluminate nanoparticles, with crystallite sizes of 17.4 and 12.7 nm for SSR and MSS samples, respectively. The microstructure of the MSS sample was characterized by a high structure homogeneity, whereas, the high degree of particle aggregation was shown by the SSR sample’s microstructure. The optical properties of the synthesized SSR and MSS samples were studied by using UV-visible and PL spectroscopy. The bandgap energies for SSR and MSS samples were calculated to be 2.78 and 2.48 eV, respectively. These samples are utilized in the photocatalytic degradation of the brilliant cresyl blue dye (BCBD), owing to their tiny bandgap energies and high absorption efficiency. The photocatalytic degradation percent of BCBD reached 94.5% and 86.7% by using MSS and SSR samples, respectively, at the optimum conditions of pH (10), dye concentration (40 mg/l), and sample dose (1 g/l)

Tumor Mutation Burden Prediction Model in Egyptian Breast Cancer patients based on Next Generation Sequencing

Objectives: This study aimed to identify the tumor mutation burden (TMB) value in Egyptian breast cancer (BC) patients. Moreover, to find the best TMB prediction model based on the expression of estrogen (ER), progesterone (PR), human epidermal growth factor receptor 2 (HER-2), and proliferation index Ki-67. Methods: The Ion AmpliSeq Comprehensive Cancer Panel was used to determine TMB value of 58 Egyptian BC tumor tissues. Different machine learning models were used to select the optimal classification model for prediction of TMB level according to patient’s receptor status. Results: The measured TMB value was between 0 and 8.12/Mb. Positive expression of ER and PR was significantly associated with TMB ≤ 1.25 [(OR =0.35, 95% CI: 0.04–2.98), (OR = 0.17, 95% CI= 0.02-0.44)] respectively. Ki-67 expression positive was significantly associated with TMB >1.25 than those who were Ki-67 expression negative (OR = 9.33, 95% CI= 2.07-42.18). However, no significant differences were observed between HER2 positive and HER2 negative groups. The optimized logistic regression model was TMB = −27.5 −1.82 ER – 0.73 PR + 0.826 HER2 + 2.08 Ki-67. Conclusion: Our findings revealed that TMB value can be predicted based on the expression level of ER, PR, HER-2, and Ki-67

The diagnostic accuracy of intraoperative frozen section biopsy for diagnosis of sentinel lymph node metastasis in breast cancer patients: a meta-analysis

: Sentinel lymph node (SLN) sampling is important for evaluating the nodal stage of breast cancer when the axillary nodes are clinically free of metastasis. The intraoperative frozen section (IFS) of SLN is used for lymph node assessment. This meta-analysis aims to provide evidence about the diagnostic accuracy and the applicability of IFS of SLN in breast cancer patients. Data were collected by searching PubMed, Cochrane, Scopus, and Web of Science electronic databases for trials matching our eligibility criteria. The statistical analysis included the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and pooled studies' diagnostic odds ratio outcomes. The analyses were conducted using the Open Meta-analyst software. This meta-analysis pooled the results of 110 studies. The overall sensitivity of IFS for SLN metastasis was 74.7%; 95% CI [72.0, 77.2], P < 0.001. It was 31.4% 95% CI [25.2, 38.3], P < 0.001 for the micro-metastasis, and 90.2%; 95% CI [86.5, 93.0], P < 0.001 for the macro-metastasis. The overall specificity was 99.4%; 95% CI [99.2, 99.6], P < 0.001. The overall positive likelihood ratio was 121.4; 95% CI [87.9, 167.6], P < 0.001, and the overall negative likelihood ratio was 0.226; 95% CI [0.186, 0.274], P < 0.001. The overall diagnostic odds ratio of IFS for diagnosing SLN metastasis was 569.5; 95% CI [404.2, 802.4], P < 0.001. The intraoperative frozen section of SLN has good sensitivity for diagnosing breast cancer macro-metastasis. However, the sensitivity is low for micro-metastasis. The specificity is very satisfactory

Mode of gene action and heterosis for physiological, biochemical, and agronomic traits in some diverse rice genotypes under normal and drought conditions

Water scarcity is a crucial environmental stress that constrains rice growth and production. Thus, breeding for developing high-yielding and drought-tolerant rice genotypes is decisive in sustaining rice production and ensuring global food security, particularly under stress conditions. To this end, this study was conducted to evaluate the effects of water deficit on 31 genotypes of rice (seven lines, viz., Puebla, Hispagran, IET1444, WAB1573, Giza177, Sakha101, and Sakha105, and three testers, viz., Sakha106, Sakha107, and Sakha108) and their 21 crosses produced by line × tester mating design under normal and water deficit conditions; this was to estimate the combining ability, heterosis, and gene action for some traits of physiological, biochemical, and yield components. This study was performed during the summer seasons of 2017 and 2018. The results showed that water deficit significantly decreased relative water content, total chlorophyll content, grain yield, and several yield attributes. However, osmolyte (proline) content and antioxidant enzyme activities (CAT and APX) were significantly increased compared with the control condition. Significant mean squares were recorded for the genotypes and their partitions under control and stress conditions, except for total chlorophyll under normal irrigation. Significant differences were also detected among the lines, testers, and line × tester for all the studied traits under both irrigation conditions. The value of the σ²GCA variance was less than the value of the σ²SCA variance for all the studied traits. In addition, the dominance genetic variance (σ2D) was greater than the additive genetic variance (σ2A) in controlling the inheritance of all the studied traits under both irrigation conditions; this reveals that the non-additive gene effects played a significant role in the genetic expression of the studied traits. The two parental genotypes (Puebla and Hispagran) were identified as good combiners for most physiological and biochemical traits, earliness, shortness, grain yield, and 1,000-grains weight traits. Additionally, the cross combinations Puebla × Sakha107, Hispagran × Sakha108, and Giza177 × Sakha107 were the most promising. These results demonstrated the substantial and desirable specific combining ability effects on all the studied traits, which suggested that it could be considered for use in rice hybrid breeding programs

Clinical and biochemical characteristics of people experiencing post-coronavirus disease 2019-related symptoms: A prospective follow-up investigation

BackgroundPost-acute coronavirus disease 2019 (COVID-19) syndrome, also known as long COVID, is a prolonged illness after the acute phase of COVID-19. Hospitalized patients were known to have persisting symptoms of fatigue, headache, dyspnea, and anosmia. There is a need to describe the characteristics of individuals with post-COVID-19 symptoms in comparison to the baseline characteristics.PurposeTo investigate the clinical and biochemical characteristics of people who recovered from COVID-19 after 6 months of discharge from the hospital.MethodsThis was a prospective follow-up investigation of hospitalized and discharged COVID-19 patients. Adult patients admitted to King Saud University Medical City, Riyadh, Saudi Arabia, with laboratory-confirmed COVID-19 and discharged were recruited. The baseline demographic information, comorbidities, vital signs and symptoms, laboratory parameters, COVID-19 therapy, and outcomes were collected from the medical records. Blood samples were collected for cytokines estimation. A detailed interview about signs and symptoms was undertaken during the follow-up.ResultsHalf of the followed-up people reported experiencing at least one of the COVID-19-related symptoms. The mean blood pressure was found higher in follow-up. People with the symptoms were characterized by low lymphocyte count, lower serum calcium levels, and hyperglycemia compared to people without any post-COVID-19 symptoms. Cytokines IL-8, VEGF, and MCP-1 were higher in people with the most frequent symptoms.ConclusionPeople with post-COVID-19 symptoms were characterized by lower lymphocyte count, lower serum calcium levels, and hyperglycemia compared to people without symptoms. Individuals with the most frequent post-COVID-19 symptoms had higher baseline pro-inflammatory, chemotactic, and angiogenic cytokines