Effect of Carbamazepine on the Serum Level of Thyrotropin-Releasing Hormone

Background: The thyroid gland is endocrine gland located in front and lower side of neck. Thyroid gland secretes two types of thyroid hormones that are triiodothyronine (T3) and tetraiodothyronine (T4). The hypothalamus is a center for regulation of thyroid hormones. It senses the low hormone levels and in turn releases thyrotropin-releasing hormone (TRH). TRH stimulates anterior pituitary to release TSH which then acts on the thyroid gland to maintain normal level of T3 and T4. The objective of study is to determine the effects of carbamazepine on TRH in euthyroid rabbits.Methods: An experimental study performed on 30 rabbits. These were divided into three groups having 10 rabbits in each group. 10 rabbits were treated with 10mg/kg/day of CBZ (OD), other 10 with 35mg/kg/day CBZ (three divided doses) and 10 rabbits served as control. T3, FT4, TSH and TRH levels were evaluated at baseline and after 21 days of treatment in all three groups by Electro-chemiluminescence immunoassay and ELISA respectively.Results: Comparison of the hormone levels of the control group and the group having a dose of 10 mg/kg/day for 21 day of treatment. Comparative results showed serum level of T3 (P=0.031), FT4 (P=0.030), and TRH (P=0.044) levels significantly lower than the control group and TSH (P=0.057) levels remain unaltered. It was also found that group having a dose of 35 mg/kg/day; TDS showed decrease in T3 (P value 0.001), FT4 (P=0.001), TSH (P=0.003) and TRH (P=0.001) level as compared to control group.Conclusions: Our data suggest that Carbamazepine monotherapy does alter thyroid hormones and its central regulatory hormone TRH. Decrease in TRH level increase level of depression and suicidal thoughts and also risk of tertiary hypothyroidism. These findings could have very important clinical implications

A Review on MPC Based Self Recovering Intelligent Advance Meter for Smart Grid: Scheme and Challenges

The Model Predict Control (MPC) based Intelligent Advance Metering (IAM) is a core maneuver of future smart grids (SG). SG is the advanced generation of electric power and utility system that improve operation technology (OT) and information technology (IT) to provide nonstop, self-recovery, self-configuration, low-cost, and security-based electricity to the consumer in real-time. Smart metering (SM) allows SG to connect the electric, gas, and oil utilities through sensors. Power plants, consumers, and utility companies will be received real-time wireless control IAM with fifth generation (5G) network technology. The aim of 5G network technology is to enable power grid digitalization (PGD) and facilitate the (IOT) Internet of Things for the future advance SG with benefits such as high-rate public safety, low latency, ultra-high speed, large number of connectivity, and reliability. In this paper, we analyze future predictions about energy needs by using MPC, fast self-recovery system, self-configuration, and upgradation, better performance of service provider, faster power connecting after an outage, control electric theft, minimize electric leakage, a large number of wireless connecting of IAM home-based, and real-time monitoring via human machine interface (HMI) and for customer end IAM operation over 5G networks to reduce billing price, reduce meter cost, lower outage cost, and as well as personalized control over electricity consumption and future challenge in this area

Wheat growth and phytoavailability of copper and zinc as affected by soil texture in saline-sodic conditions

Nutrient disorders in saline-sodic soils can adversely affect crop growth. In order to evaluate the growth response of wheat (Triticum aestivum L.) to Cu and Zn and the phytoavailability of these essential elements, a pot experiment was conducted in three different textured saline-sodic soils [sandy loam (SL), sandy clay loam (SCL) and clay (C)] having an ECe 8.63, 8.80, 8.98 dS m–1 and SAR 21.66, 23.48, 24.84 (mmol L–1)1/2 respectively. Seven treatments including levels of Cu (4, 6 and 8 mg kg–1) and levels of Zn (4, 6 and 8 mg kg–1) were separately applied together with a single control treatment. Dry matter yield (straw + grain) of wheat increased up to 35.2% with Cu and up to 31.2 % with Zn application relative to the control. As soil clay content increased, dry matter yield decreased up to 39.2% in SCL and up to 62.7% in C soil when compared to SL soil. Application of Cu increased the concentration in both wheat straw and grains up to 2.46 and 2.20 mg kg–1 DW respectively relative to the control. Zinc concentration in wheat straw and grains was also increased up to 29.97 and 29.40 mg kg–1 DW respectively relative to the controls. Copper application significantly increased Zn concentrations in wheat plants

Association Mapping of Root Traits for Drought Tolerance in Bread Wheat

Bread wheat (Triticum aestivum L., 2n = 6x = 42, AABBDD) is one of the most important crops, making staple food for more than 40 countries and over 35% of the global population. Drought stress is among the major constraints to wheat production as it affects plant growth, gene expression and yield potential of the crop. Development of elite wheat cultivars with the ability to grow and reproduce in water-limited soils seems to be the most enduring solution of addressing drought stress. A total of 100 lines including well-adapted wheat cultivars were evaluated for important root traits and complemented with 102 PCR-based markers aiming to understand their genetic structure and to identify molecular markers that are closely associated to quantitative trait loci (QTLs) of important root traits. Alleles per locus are counted and polymorphic information content (PIC) values are calculated. Population structure of these lines was analyzed with general linear model (GLM) and mixed linear model (MLM) approaches for identification of QTLs associated with important root traits. The results indicated the presence of two novel QTLs on the homoeologous group 2 and group 5 of wheat that may be related to drought stress resistance. Our results may facilitate the development of agronomically desirable drought stress-resistant wheat germplasm

Characteristics of Lactic Acid Bacteria Strains Isolated From Tibetan Plateau and Their Effects on Silage Quality of Italian Ryegrass (\u3cem\u3eLolium Multiflorum\u3c/em\u3e Lam.) At Low Temperature

Temperature is an important factor affecting ensilage. In cold regions, low temperature could be an adverse environmental factor during ensiling. However, little research has focused on improving silage quality at low temperatures. This study aimed to examine two lactic acid bacteria (LAB) strains (LCG9 and TG1) isolated from the Tibetan Plateau, and evaluate their effects on the silage quality of Italian ryegrass (Lolium multiflorum Lam.) at three temperatures (10° C, 15° C and 25° C). The isolated strains and one commercial inoculant (G, Lactobacillus plantarum MTD-1) were evaluated by morphological, physiological and biochemical tests. Strains G, LCG9, TG1 and their combination of LCG9+TG1 were added to Italian ryegrass for ensiling 90 days at various temperatures. All the isolates could grow normally at 5-20°C, pH 3.5-7.0 and NaCl (3.0%, 6.5%). Strains LCG9 and TG1 were identified as Pediococcus pentosaceus and Lactobacillus plantarum by sequencing 16S rDNA, respectively. Compared to the corresponding controls, all the inoculants improved the silage quality of Italian ryegrass at different temperatures, indicated by significantly (P3- N) contents and undesirable microorganism counts. At 10°C and 15°C, strains TG1 and G performed better than other inoculants, indicated by significantly (P3-N contents. Strains TG1 and G are recommended as starter culture for Italian ryegrass silage at low temperatures