Serum Level of Inhibin B and Kisspeptin, as well as Their Correlation with Biochemical Factors in Obese Adult Patients.

Obesity is one of the most important global health problems causing serious health risks and early death in human. It is also associated with disturbance of homeostasis of hormones and immunological biochemical factors inside the human body. This study aimed to evaluate the serum level of inhibin B and kisspeptin among Iraqi obese adult people and other biochemical parameters correlated with obesity. Inhibin B and levels of kisspeptin were evaluated in the samples of serum from 40 Iraqi obese adult patients and 30 healthy non-obese individuals. A significant decrease (P<0.0001) was observed in the kisspeptin level in both males and females, compared to the control group. Moreover, inhibin B decreased significantly in obese females only (P<0.001), while there was no differences between males and the control group in this regard. Finally, body mass index, serum glutamic pyruvic transaminase (SGPT), and leptin showed negative correlation with kisspeptin (0.01, 0.5, and 0.01), respectively. However, a positive association was observed with the level of Ca in the serum. On the other hand, inhibin B confirmed a positive correlation with SGPT. The present study revealed a significant increase in inhibin B and kisspeptin, with SGPT and Ca in the serum of obese patients, which could lead to complications and health problems among these patients.

CERES-Maize model for simulating genotype-by-environment interaction of maize and its stability in the dry and wet savannas of Nigeria.

When properly calibrated and evaluated, dynamic crop simulation models can provide insights into the different components of genotype by environment interactions (GEIs). Modelled outputs could be used to complement data from multi-environment trials. Field experiments were conducted in the rainy and dry seasons of 2015 and 2016 across four locations in maize growing regions of Northern Nigeria using 16 maize varieties planted under near-optimal conditions of moisture and soil nitrogen. The CERES-Maize model was calibrated using data from three locations and two seasons (rainy and dry) and evaluated using data from one location and two seasons all in 2015. Observed data from the four locations and two seasons in 2016 was used to create eight different environments. Two profile pits were dug in each location and were used separately in the simulations for each environment to provide replicated data for stability analysis in a combined ANOVA. The effects of the environment, genotype and GEI were highly significant (p = 0.001) for both observed and simulated grain yields. The environment explained 67 % and 64 % of the variations in observed and simulated grain yields respectively. The variance component of GEI (13 % for observed and 15 % for simulated) were lower but still considerable when compared to that of genotypes (19 % for observed and 21 % for simulated). From the stability analysis of the observed and simulated grain yields using six different stability models, three models (ASV, Ecovalence, and Sigma) ranked Ife Hybrid as the most stable variety. The slope of the regression (bi) model ranked Sammaz 11 as the most stable variety, while the Shukla model ranked Sammaz 28 as the most stable variety. Long-term seasonal analysis with the CERES-Maize model revealed that early and intermediate maturing varieties produce high yields in both wet and dry savannas, early and extra-early varieties produce high yields only in the dry savannas, while late maturing varieties produce high yields only in the wet savannas. When properly calibrated and evaluated, the CERES-Maize model can be used to generate data for GEI and stability studies of maize genotype in the absence of observed field data.

Options for calibrating CERES-maize genotype specific parameters under data-scarce environments.

Most crop simulation models require the use of Genotype Specific Parameters (GSPs) which provide the Genotype component of G×E×M interactions. Estimation of GSPs is the most difficult aspect of most modelling exercises because it requires expensive and time-consuming field experiments. GSPs could also be estimated using multi-year and multi locational data from breeder evaluation experiments. This research was set up with the following objectives: i) to determine GSPs of 10 newly released maize varieties for the Nigerian Savannas using data from both calibration experiments and by using existing data from breeder varietal evaluation trials; ii) to compare the accuracy of the GSPs generated using experimental and breeder data; and iii) to evaluate CERES-Maize model to simulate grain and tissue nitrogen contents. For experimental evaluation, 8 different experiments were conducted during the rainy and dry seasons of 2016 across the Nigerian Savanna. Breeder evaluation data were also collected for 2 years and 7 locations. The calibrated GSPs were evaluated using data from a 4-year experiment conducted under varying nitrogen rates (0, 60 and 120kg N ha-1). For the model calibration using experimental data, calculated model efficiency (EF) values ranged between 0.88-0.94 and coefficient of determination (d-index) between 0.93-0.98. Calibration of time-series data produced nRMSE below 7% while all prediction deviations were below 10% of the mean. For breeder experiments, EF (0.58-0.88) and d-index (0.56-0.86) ranges were lower. Prediction deviations were below 17% of the means for all measured variables. Model evaluation using both experimental and breeder trials resulted in good agreement (low RMSE, high EF and d-index values) between observed and simulated grain yields, and tissue and grain nitrogen contents. It is concluded that higher calibration accuracy of CERES-Maize model is achieved from detailed experiments. If unavailable, data from breeder experimental trials collected from many locations and planting dates can be used with lower but acceptable accuracy.

Sequence Diversity of VP4 and VP7 Genes of Human Rotavirus Strains in Saudi Arabia.

Group A rotavirus is responsible for inducing severe diarrhea in young children worldwide. Rotavirus vaccines are used to control the disease in many countries. In the current study, the sequences of human rotavirus G and P types in Saudi Arabia are reported and compared to different relevant published sequences. In addition, the VP4 and VP7 genes of the G1P[8] strains are compared to different antigenic epitopes of the rotavirus vaccines. Stool samples were collected from children under 2 years suffering from severe diarrhea. Screening of the rotavirus-positive samples was performed with rapid antigen detection kit. RNA was amplified from rotavirus-positive samples by reverse transcriptase polymerase chain reaction assay for both VP4 and VP7 genes. Direct sequencing of the VP4 and VP7 genes was conducted and the obtained sequences were compared to each other and to the rotavirus vaccines. Both G1P[8] G1P[4] genotypes were detected. Phylogenetic analysis revealed that the detected strains belong to G1 lineage 1 and 2, P[8] lineage 3, and to P[4] lineage 5. Multiple amino acid substitutions were detected between the Saudi RVA strains and the commonly used vaccines. The current findings emphasize the importance of the continuous surveillance of the circulating rotavirus strains, which is crucial for monitoring virus evolution and helping in predicting the protection level afforded by rotavirus vaccines.

Hesperidin inhibits inflammatory response induced by Aeromonas hydrophila infection and alters CD4+/CD8+ T cell ratio.

BACKGROUND: Aeromonas hydrophila is an opportunistic bacterial pathogen that is associated with a number of human diseases. Hesperidin (HES) has been reported to exert antioxidant and anti-inflammatory activities. OBJECTIVES: The aim of this study was to investigate the potential effect of HES treatment on inflammatory response induced by A. hydrophila infection in murine. METHODS: A. hydrophila-infected mice were treated with HES at 250 mg/kg b.wt./week for 4 consecutive weeks. Phagocytosis, reactive oxygen species production, CD4(+)/CD8(+) T cell ratio, and CD14 expression on intestinal infiltrating monocytes were evaluated. The expression of E-selectin and intercellular adhesion molecule 1 on stimulated HUVECs and RAW macrophage was evaluated. RESULTS: Percentage of CD4(+) T cells in the intestinal tissues of infected treated mice was highly significantly increased; however, phagocytic index, ROS production, CD8(+) T cells percentage, and CD14 expression on monocytes were significantly reduced. On the other hand, HES significantly inhibited A-LPS- and A-ECP-induced E-selectin and ICAM-1 expression on HUVECs and ICAM-1 expression on RAW macrophage. CONCLUSION: Present data indicated that HES has a potential role in the suppression of inflammatory response induced by A. hydrophila toxins through downmodulation of ROS production and CD14 and adhesion molecules expression, as well as increase of CD4(+)/CD8(+) cell ratio.