faqir muhammad

Crude fiber (CF) is a vital component in poultry nutrition with a notable phytonutrient effectively indicating the presence of indigestible biomass in food due to the absence of digestive enzymes for CF in broilers. This study aimed to analyze the properties of a multi-enzyme cocktail (MEC) Bacillus sonorensis BD92 (BsBD92) comprised of xylanase, β-glucosidase, exo-glucanase, and endo-glucanase enzymes. Also, this study intended to look at the growth performance and intestinal histology of broilers in the starter and finisher phases by the addition of MEC BsBD92 to their diet. To evaluate the efficacy of MEC BsBD92, 140 one-day-old unsexed Cobb500 broiler chicks were randomly divided into seven groups receiving different diets. The characterization of exo-glucanase, xylanase, β-glucosidase, and endo-glucanase showed that their peak activities were observed at a temperature of 50.00 ˚C and a pH of 5.50. The 6.00% CF and 2.00 X MEC BsBD92 improved the intestinal morphology and feed conversion ratio, demonstrating a synergistic effect on growth performance. Whereas, increasing meat percentages to 61.06 and 65.09 g per 100 g body weight during the starter and finisher phases was also observed, respectively. The lipid profiles revealed significant variations in triglyceride and cholesterol levels. This study provides an innovative approach, considering not only lowering the feed cost using inexpensive fibrous feedstuffs but also improving the feed efficiency through supplementation of MEC BsBD92.

This study aimed to evaluate the anti-arthritic activity of Ricinus communis leaves’ and Withania somnifera roots’ hydroalcoholic extracts in Complete Freund’s adjuvant-induced arthritis in Wistar rats. HPLC and FT-IR analysis detected pharmacologically important phytocompounds in both plant extracts. Oral treatments including methotrexate (MTX; 3 mg/kg twice a week) and extracts at 250 and 500 mg/kg/day were initiated after arthritis induction. Changes in paw swelling, arthritic score, body weight, organ indices (thymus and spleen), hematological and biochemical parameters, and pro-/anti-inflammatory cytokine expression using qRT-PCR were assessed. Oxidative stress markers in hepatic tissue were determined. Histopathological and radiological examinations were also performed.   RCE (R. communis extract) and WSE (W. somnifera extract) demonstrated a reduction in paw swelling, arthritic score, and restoration of body weight and organ indices. Hematological parameters, serum inflammatory markers such as CRP and RF, and liver function markers of arthritic rats were significantly (p <0.01) ameliorated with RCE and WSE treatment. Both plants persuasively down-regulated IL-1β, IL-6, IL-17a, TNF-α, and RANKL and up-regulated IL-4, INF-γ, and OPG relative expression as well as alleviating hepatic oxidative stress parameters. Histopathological and radiological findings revealed a marked reduction in tissue inflammation and bone erosion in extracts treated groups. The study findings suggest that R. communis leaves and W. somnifera roots have markedly subsided inflammation and improved health through modulating pro-/anti-inflammatory cytokine expression and reducing oxidative stress.

The article presents an approach to multivariate linear calibration based on the best linear predictor. The bias and mean squared error for the suggested predictor are derived in order to examine its properties. It has been examined that Bias/ and MSE/ are function of five invariant quantities. A simulation study is made for different values of response variables and sample sizes assuming different distributions for the explanatory variable. It is observed that the proposed estimator performs quite well. Some approximations to mean squared error have been suggested and the pivotal functions based on these approximations have been defined. Lower and upper tail probabilities have been calculated and it is examined that these are quite reasonable. These probabilities suggest that the relevant intervals have sensible confidence coefficient. Moreover, it is also shown that the multivariate classical and inverse estimators are special cases of the proposed estimator.