Publications by authors named "M Azzam"

To enhance the health and performance of poultry, novel approaches have to be created. Using appropriate nutritional interventions to enhance body physiology and thus enhance productivity is one of these approaches. The purpose of the present investigation intended to examine how growing quail physiology and growth is affected by supplementing diets with tryptophan (Trp) and/or canthaxanthin (CX).

View Article and Find Full Text PDF

The purpose of the current study was to investigate the effects of gum Arabic supplementation on short-chain fatty acids, cecal microbiota, immune-related gene expression, and small intestinal morphology in post-hatched broiler chicks. On the day of hatching, four hundred thirty-two commercial male broiler chicks were randomly allocated into six treatments with twelve cages as replicates of six chicks each for 24 days. Dietary treatments (T1 to T6) were supplemented with 0.

View Article and Find Full Text PDF

Prolonged exposure to glucocorticoids (GC) disrupts neuronal architecture, hinders neuroplasticity, and triggers neuroinflammation. However, the precise underlying mechanisms have not been studied yet. The current study aimed to investigate the mechanisms of GC-induced neuroinflammatory effects by stimulating the miRNA let7b, aryl hydrocarbon receptor (AhR)/ARNT, HMGB1/RAGE, and other downstream targets.

View Article and Find Full Text PDF
Article Synopsis
  • - The study focused on how hydrolyzed yeast (HY) supplementation affects growth, woody breast myopathy, and intestinal health in heat-stressed broiler chickens, using a 35-day experiment with various HY dosage groups.
  • The results showed that an 800 mg/kg HY diet reduced the feed conversion ratio and mortality rate during heat stress, along with lessening the incidence and severity of woody breast condition.
  • Additionally, HY supplementation improved gene expressions related to antioxidants and immunity, indicating potential benefits for maintaining gut health and overall performance in heat-stressed poultry.
View Article and Find Full Text PDF
Article Synopsis
  • * A machine learning approach found that combining the SN and CEN provided a high accuracy of 73.4% in distinguishing CUD patients from healthy controls, indicating their importance in addiction stages over the DMN.
  • * Connectivity analysis showed reduced connectivity in the DMN and SN but increased connectivity in the CEN among CUD patients, suggesting these changes could be potential biomarkers for the severity of addiction.
View Article and Find Full Text PDF