Treatment of corticosteroid-induced myopathy through Filgrastim induced endogenous stem cells mobilization in male albino rats.

Introduction: One of well-known exogenous fluorinated glucocorticoid that is used to treat inflammatory and various autoimmune illnesses is dexamethasone. Dexamethasone is known to cause skeletal muscular weakness and when used for an extended period of time, skeletal muscle undergoes atrophy. Granulocyte colony-stimulating factor (G-CSF) is a glycoprotein that helps mobilize stem cells from bone marrow into peripheral circulation.

Leveraging a hybrid convolutional gated recursive diabetes prediction and severity grading model through a mobile app.

Diabetes mellitus is a common illness associated with high morbidity and mortality rates. Early detection of diabetes is essential to prevent long-term health complications. The existing machine learning model struggles with accuracy and reliability issues, as well as data imbalance, hindering the creation of a dependable diabetes prediction model.

Effect of low doses of gamma radiation on cell growth over an electrospun polycaprolactone/zinc acetate scaffold for biomedical applications.

The objective of the present study was to generate functional biomaterials to repair and re-establish damaged tissues by producing porous biopolymeric PCL/zinc acetate scaffolds using the electrospinning technique and studying the effect of low doses of gamma radiation on cell proliferation. In electrospinning, ultrafine fibers are spun in a high-voltage electrostatic field. The electrospun structure has natural tissue morphology, which is distinguished by high porosity, a broad variety of pore diameters, efficient mechanical qualities, and the ability to promote cell proliferation and adhesion.

Optimization and comparative study of consortia for cellulolytic potential and cellulase enzyme activity.

Lignocellulosic biomass, owing to its recalcitrant nature, requires a consortium of enzymes for its breakdown. The present study deals with the isolation of cellulolytic bacterial strains from landfill leachate collected from the Pulau Burung landfill site of Penang, Malaysia, and consortia were constructed to test their cellulolytic efficiency. The dinitro salicylate method was used for the estimation of enzyme activity, and consortia were compared with promising bacterial strains.

Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis.

Rapid genotype-based drug susceptibility testing for the Mycobacterium tuberculosis complex (MTBC) relies on a comprehensive knowledgebase of the genetic determinants of resistance. Here we present a catalogue of resistance-associated mutations using a regression-based approach and benchmark it against the 2nd edition of the World Health Organisation (WHO) mutation catalogue. We train multivariate logistic regression models on over 52,000 MTBC isolates to associate binary resistance phenotypes for 15 antitubercular drugs with variants extracted from candidate resistance genes.